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a brand new trade intelligence document released by means of MarketIntellica with title linked Logistics Market Forecast up to 2024 has talents to elevate because the most immense market global because it has remained enjoying a Amazing office in setting up innovative influences on the regularly occurring economy. The linked Logistics Market Forecast as much as 2024 offers lively visions to conclude and inspect at market measurement, market hopes, and competitive atmosphere. The research is derived through simple and secondary facts sources and it includes both qualitative and quantitative detailing. one of the crucial key gamers profiled within the study are SAP, Infosys, IBM, Cisco and HCL applied sciences.Get access to pattern pages @ www.marketintellica.com/file/MI92285-connected-logistic...
The related Logistics Market Forecast up to 2024 market file extra specializes in suitable trade leaders and explores faultless necessities facets aggressive landscape. It explains powerful enterprise suggestions and processes, consumption propensity, regulatory policies, recent moves taken via competitors, in addition to potential investment alternatives and market threats also. The record stress essential financial details of principal producers including yr-sensible sale, revenue growth, CAGR, production cost analysis, and value chain structure.In 2017, the related Logistics Market Forecast up to 2024 market measurement become USD XX and is forecast to reach Million YY USD in 2025, growing to be at a CAGR of xx%. The objectives of this analyze is to define, market segment having opportunity, and to challenge the size of the linked Logistics Market Forecast as much as 2024 market based on company, product classification, software and key regions.besides, the report also covers facet statistics, together with: sort phase, trade section and many others. cover distinctive facet market dimension. additionally cowl different industries clients advice, which is very censorious for the essential gamers. if you would dote extra tips, please contact MarketIntellica at firstname.lastname@example.org**The market is valued based on weighted unconcerned promoting price (WASP) and comprises any applicable taxes on producers. faultless alien money conversions used in the introduction of this document maintain been calculated the usage of uniform annual accustomed 2018 currency charges.competitive analysis:the Important thing players are highly focusing innovation in creation technologies to help efficiency and shelf life. The premier long-term boom alternatives for this sector can be captured via making unavoidable ongoing process improvements and fiscal flexibility to invest in the optimal options. company profile portion of players such as SAP, Infosys, IBM, Cisco, HCL applied sciences contains its simple information dote felony name, web site, headquarters, its market place, ancient inheritance and revise 5 closest opponents by Market capitalization / salary along with contact tips. each player/ brand revenue figures, multiply expense and monstrous earnings margin is equipped in effortless to remember tabular layout for past 5 years and a separate section on fresh pile dote mergers, acquisition or any new product/service launch and so forth.
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Key Stakeholders/world experiences:- connected Logistics Market Forecast up to 2024 producers- related Logistics Market Forecast up to 2024 Distributors/traders/Wholesalers- linked Logistics Market Forecast as much as 2024 Sub-part producers- trade association- Downstream VendorsFollowing would be the Chapters to display the connected Logistics Market Forecast as much as 2024 market.table of Contents1 government summary 111.1 finding 1 111.2 discovering 2 112 trade Outlook 132.1 trade Overview 132.2 industry trends 133 Market image 143.1 complete Addressable Market 143.2 Segmented Addressable Market 143.three PEST analysis 153.4 Porter 5 (five) Forces 173.5 related Markets 174 Market Outlook 194.1 Overview 19
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constructing off of drudgery published in 2015, the group used AI to analyze the speech patterns of 59 individuals who had participated in a separate inspect at. Transcripts of an interview the participants took half in were broken down into materials of speech and maintain been scored on how coherent the sentences maintain been. Then, the laptop studying model decided, in accordance with these speech patterns, who turned into at risk of constructing psychosis and who wasn't. Of those participants, 19 developed a psychotic disease inside two years while forty did not and the mannequin turned into capable of forecast that with eighty three p.c accuracy. It became also in a position to differentiate speech patterns of patients who had these days developed psychosis from these of in shape sufferers with 72 p.c accuracy. The application establish that those susceptible to psychosis used fewer possessive pronouns when speaking and developed much less coherent sentences.
while the drudgery remains ongoing, it indicates that AI could be an exceptional appliance and could be specifically advantageous when intellectual health specialists are in brief provide or aren't available. "We deem this is a significant step against the objective of developing a device for intellectual fitness practitioners, caregivers and patients themselves with a appliance that can extend and multiply the reach of neuropsychiatric assessment backyard of the medical institution," stated study writer Guillermo Cecchi in a blog post. in the video under he says that being able to forecast possibility of psychosis years in further could back medical and mental health authorities more suitable designate their substances and provide more desirable supervision to these at risk. Cecchi facets out that one enviornment the space this can also maintain an influence is with the homeless who feasible wouldn't maintain the substances to are trying to find out clinical aid. "in view that I believe they will conclude whatever thing, they should still," he says.
The examine became published these days in World Psychiatry and Cecchi says the group should be sharing greater drudgery on other intellectual health conditions includings depression, Alzheimer's sickness, Parkinson's sickness and persistent ache.
April 3, 2019 Alex Woodie
IBM i shops which are wondering a pass to hold their Java environments following Oracle’s fresh determination to preclude access to Java runtimes and pile outfit should still pay nigh consideration to some innovations that IBM is making concerning Java, specifically the pass it influences access customer options (ACS).
Oracle is slated to ship a Important protection replace for Java commonplace version (SE) eight in every week and a half. but until you maintain got purchased a industrial license for Java SE 8, your enterprise won’t be getting that replace, which could depart your methods prone. That’s because in late 2018, Oracle made some reasonably large changes to the manner customers will receive patches and updates for the growing ancient Java environment.
patrons who hasten Java SE eight on their home computer systems or different personal makes utilize of can continue to fetch hold of intermittent updates and protection patches for the runtime atmosphere, in response to Oracle’s new guidelines. but agencies who utilize the Java SE eight runtime will exigency to pony up the money in the event that they wish to retain their techniques free of security vulnerabilities, according to Oracle.
“Public updates for Oracle Java SE eight will wait obtainable for individual, personal utilize through as a minimum the intermission of 2020,” Oracle states on its net page. “Public updates for Oracle Java SE eight released after January 2019 are not accessible for company, trade or creation utilize with out a commercial license.”
The Redwood metropolis, California, trade made equivalent alterations to edition 11 of the Oracle Java pile kit (JDK). Oracle says clients “may additionally not . . . utilize the classes for any records processing or any business, creation, or internal trade applications other than constructing, checking out, prototyping, and demonstrating your application.”
So what’s a Java consumer to do? companies that exigency to hold their older Java SE eight environments can buy a Java SE Subscription from the Oracle store. The annual subscriptions surge at $30 per user for desktop help, $300 per processor for server and cloud environments, and $1,200 per person for Java outfit (together with NetBeans, JDeveloper, and commercial enterprise Pack for Eclipse).
Oracle is being criticized for the adjustments to Java SE eight and JDK 11 phrases, with some users claiming that the changes constitute a entice for people that up to now used Java SE in creation with out being requested to pay for it. “For 23 years, builders maintain downloaded the JDK from Oracle and used it for $free,” writes Stephen Colebourne on his Java blog. “unless you examine the textual content/warnings/legalese very cautiously you could now not even realize Oracle JDK is now commercial, and that you're hence at risk of pay Oracle for using this specific JDK in production.”
however trade customers who don’t are looking to pay Oracle conclude still maintain alternatives. For starters, they can upgrade to more moderen models of Java. Java SE eight first debuted in 2015 and is at the flash in widespread use. however Java SE eight is also considered to be a legacy free up, with a newer and more suitable unlock obtainable, specifically Java SE eleven, which shipped in September and is considered an extended term unlock (LTR). Java SE 12 shipped simply closing month, making it slightly green still for organizations to gain utilize of it. anyway, it’s not an LTR.
The depend is a wee bit advanced on the IBM i server, especially as a result of IBM has treated Java eight as the go-to unencumber of Java SE for a number of years (the enterprise edition of Java was renamed Jakarta EE a yoke of 12 months in the past). IBM determined to pass helping Java SE types 9 and 10 with the IBM i working outfit itself, because they maintain been not LTRs. That left Java SE 8 as the handiest game in town for IBM i, until IBM committed remaining year to pilot for Java SE eleven in the IBM i OS proper.
In March, IBM posted a number of strategies on its pilot website for a pass IBM i clients can navigate these alterations to the Java licensing procedure, certainly because it relates to ACS, which is the company’s strategic client for accessing the IBM i working programs. (since it runs on home windows, Mac, and Linux desktops and not the IBM i OS itself, ACS can pilot other Java SE releases that IBM i doesn't.)
purchasers who hasten ACS edition 18.104.22.168 can help to Java SE 11. IBM shipped that unlock of ACS late ultimate year, which introduced a few new elements moreover pilot for Java SE eleven.
youngsters, the older version of ACS, 22.214.171.124, best helps Java SE types eight, 9, and 10, but no longer Java SE eleven. and since Java SE versions 9 and 10 aren't LTRs and therefore aren't being lively supported (i.e. no safety updates are coming from Oracle), that leaves Java SE eight as the only manageable alternative.
The reply recommended via IBM is to gain utilize of OpenJDK, an open source Java pile equipment. “Oracle has been and is continuing to gain their Java know-how obtainable under the open GPL license for OpenJDK and OpenJDK will drudgery with IBM i entry client solutions,” IBM states in its aid doc.
IBM i stores maintain three leading options for obtaining the OpenJDK.
the first alternative is to fetch the OpenJDK and the OpenJ9 JVM from AdoptOpenJDK The OpenJ9 JVM is in accordance with the OpenJ9 expertise that IBM contributed to open source lower back in 2017. (The identify “J9” has nothing to conclude with Java SE 9 or another Java version; the occasions of the J9 nomenclature is lined prerogative here).
Secondly, IBM says there’s a “Hotspot” distribution of OpenJDK attainable from the OpenJDK website that elements an Oracle JVM, in keeping with IBM. IBM i retail outlets settling on both of these alternatives will also be assured that they should be maintained in a protracted-time term method, IBM says.
“These OpenJDK distributions [including the OpenJ9 JVM and the “Hotspot” OpenJDK distribution] are being developed by pass of a team that comprises IBM and this team has dedicated to making fixes and protection updates purchasable in a timely system for the long term at no cost below the OpenJDK licenses,” IBM states.
When it involves aiding the OpenJ9 JVM purchasable from the AdoptOpenJDK web page, there are two main options, based on IBM: aiding oneself through the open source community, or paying for a pilot settlement from IBM. IBM has two alternate options for aiding the OpenJ9 JVM (what it calls IBM Runtimes for enterprise), including the older 5737-F61 providing and the more recent 5737-J49 offering.
there is also a 3rd OpenJDK alternative referred to as Corretto, the identify of a new undertaking launched via Amazon internet capabilities in early 2019. IBM says there are Java SE 8 and Java SE 11 distributions attainable of Corretto available for windows, Mac and Linux operating systems, faultless of that are supported with the aid of ACS. aid for this OpenJDK distribution most likely comes from AWS. however this distribution is not supported through any IBMers and IBM made no statements about how long customers can are expecting to receive updates for this product.
ACS is rather resilient to distinctive Java environments, IBM says, but there are some particulars that IBM i retail outlets should be searching for, notably for Java environments dote OpenJDK that won't maintain wizards controlling installations.
because of the multiple nature of how distinct environments can also pick to set up Java, IBM i access customer options (IBM i ACS) is terribly bendy and the leisure of this can focus on one of the crucial alternatives with launching IBM i ACS with a variety of Java deployments. In its back doc, IBM provided some assistance on how to be unavoidable a facile roll-out of ACS in these assorted Java environments.
For extra counsel, survey the IBM ACS and Java assist doc at www-01.ibm.com/help/docview.wss?uid=ibm10719405.related studies
IBM offers New goodies with ACS update
IBM i Slated to aid Java eleven
Goodbye, Java commercial enterprise edition. hiya, Jakarta EE
Java On IBM i: A setting up situation
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Aug 28, 2009Hugh McKellar
We first published their list of Trend-Setting Products in 2003, when portals and smart enterprise suites were hot, and robust content management offerings were entering adulthood. Folks were wondering about the scope of the Tyco case, and Enron was just starting to betray up on the radar.
Service-oriented architectures were surge to pick shape, and both reminiscence and storage were quite expensive. Software as a service (not merely hosted applications) was at its very early stages. The cloud existed only outside.
A lot of things maintain change since then, but their criteria for inclusion on the list haven’t changed a whit. Although the composition of their judging panel includes some different names from the 2003 edition, it still consists of editorial colleagues, analysts, system integrators, users and vendors themselves. dote usual, they request anonymity so they are protected from any negative feedback.
We’ve selected some 130 different products upon which they faultless agree—more than they maintain in previous editions because the landscape is far more challenging than it has been in the past. They represent what they believe are the solutions that best exemplify the spirit of innovation demanded by the current economy, while providing their customers with the unique tools and capabilities to plod and grow beyond the recession.
Some maintain been around for a while, a testimony to the limber execution of their initial mission of adaptability. Others are relatively new, and their uniqueness points to (what they believe should be) their much wider adoption. Are these the only trend-setting products on the market? The reply is a resounding no. They conclude represent the ones best suited to meet the needs of KMWorld readers. They faultless maintain been designed with a transparent understanding of customers’ needs.
I hope you’ll expend the time required to explore what the products can conclude to solve at least some of the vexing problems they faultless pan today.
5280 Solutions: Dynamic Filer—automates the process of scanning and filing paper documents into SharePoint.
A2iA: A2iA DocumentReader—classification of digitized documents into categories (letter, identity papers, contract, etc.) based on both their geometry and their content. Click here to survey enhanced product description.
ABBYY USA: TouchTo Technology—data capture software for LCD-based touchscreen technology.
Abrevity: Abrevity’s FileData Classifier—enables control over files and data distributed across heterogeneous storage platforms.
Access Innovations: Search Harmony—ultra-scalable search solution. Click here to survey enhanced product description.
Accusoft Pegasus: Web-Based Image Viewer—document and photo processing for asset optimization.
Adobe: LiveCycle Developer Express—Adobe’s first step toward cloud computing and embracing open source in the enterprise.
Alterian: Content Manager—full Web content management designed for business-user even Web site optimization.
Appian: Enterprise—simple, robust trade process management. Click here to survey enhanced product description.
Apple: iPhone 3GS apps—bringing apt enterprise capabilities to arguably the most user-friendly smart phone.
Aquire: OrgPublisher 9 Premier—succession planning, organizational planning and powerful organization charting.
ASG Software: ASG-ViewDirect Suite—a highly scalable, full-featured archiving platform.
AskMe-Realcom: AskMe for SharePoint—a legitimate knowledge networking solution.
Astute Solutions: RealDialog—natural language-based search, knowledge management and Web self-service solutions.
Attensity: Voice of the Customer—suite of trade applications for unstructured data, offering integrated automated response for customer undergo management.
Attivio: Attivio dynamic Intelligence Engine—extends enterprise search capabilities across documents, data and media.
Autonomy: quick-witted Data Operating Layer (IDOL) Server—collects indexed data from connectors and stores it in its proprietary structure, optimized for expeditiously processing and retrieval.
BA-Insight: Longitude—extends the search usability, relevance and connectivity capabilities of Microsoft SharePoint and Search Server.
Baynote: Collective Intelligence Platform—on-demand recommendations and companionable search for Web sites.
Brainware: Globalbrain Enterprise Edition—locates information on PCs, enterprise databases, file servers, the Internet, etc., supports more than 250 file formats. Click here to survey enhanced product description.
CA: CA Governance, Risk & Compliance Manager—centralized, unified approach to managing faultless IT risks and controls.
CaseCentral: CaseCentral Early Case Assessment—integrated, multipurpose e-discovery review platform.
Chiliad: Chiliad Discovery/Alert—platform for search and knowledge discovery across distributed repositories of unstructured and structured data.
Citrix Online: GoToMeeting—richly featured, stable Web presentation/conferencing solution.
Comperio: Comperio Front—business logic software search solutions.
Concept Searching: conceptClassifier for SharePoint—statistical search and classification using concept extraction and compound term processing. Click here to survey enhanced product description.
Connectbeam: companionable Activity Platform and Applications—enterprise companionable networking platform.
Connotate: Agent Community GEN2—allows non-technical users to create powerful, customized quick-witted agents to access high-value content abysmal on the Web or in the enterprise. Click here to survey enhanced product description.
Consona: Consona knowledge Management—knowledge-driven customer relationship management.
Content Analyst: Content Analyst Analytical Technology (CAAT)—enables organizations to organize, access and participate information across multiple languages without the exigency for extensive human intervention. Click here to survey enhanced product description.
Coveo: Coveo Enterprise Search—offers a customizable, complete and unified view of censorious information located across the organization no matter where it sits. Click here to survey enhanced product description.
Daticon-eed: Daticon EED Discovery Partner—integrated platform for e-discovery processing, analytics, review and production.
Day Software: Day CQ5 V. 5.2—Web content management designed for trade users to easily create and publish content.
DeepDyve: Research Engine—search and indexing technology to cull rich, apropos content from journals, documents and untapped abysmal Web pages.
DocZone: DocZone, Really Strategies' SaaS XML content management and single-source publishing solution for authoring, managing, reusing, localizing and publishing content.
Dow Jones trade & Relationship Intelligence: Dow Jones Companies & Executives—business and competitive intelligence, including competitor analysis, financial statements, regulatory filings, targeted news, executive biographies.
EDS: EDS Applications Modernization Services—agile applications and architecture to hasten software migration. Click here to survey enhanced product description.
eGain: eGain Service 8.0—complete suite of customer service and contact focus software.
EMC: SourceOne Suite—new family of products and solutions for archiving, e-discovery and compliance aimed at helping companies centrally manage multiple content types in order to apply consistent retention, temperament and overall life cycle management.
Empolis: Empolis Discovery and Research/Attensity Discovery and Research—a comprehensive family of information management applications built on abysmal expertise in semantic language technologies. Click here to survey enhanced product description.
Endeca: Information Access Platform—foundation upon which configurable search-based trade applications can be built and deployed.
Exalead: Exalead CloudView—automatically collects, structures and contextualizes lofty volumes of unstructured and structured content scattered across the enterprise information cloud.
EXSYS: Exsys Corvid—knowledge automation expert system progress tool. Click here to survey enhanced product description.
Extensis: Universal sort Server 2—comprehensive font management and workflow.
FatWire: Web undergo Management (WEM) Suite—Web content management, collaboration and community, content integration, audience targeting and measurement, and mobile publishing and delivery.
Fios: Discovery Response Services—identification, preservation and collection through processing, review and production.
FTI Technology: Ringtail Legal—services designed to reduce enterprise risk while improving the daily current and management of censorious information.
Global 360: Process360—complete trade process management.
Google: Google Docs and Spreadsheets—merges word processing, spreadsheets and basic presentations within an online service that allows collaboration with other users.
Guidance Software: EnCase Enterprise—searches, preserves and analyzes data across servers, desktops, and laptops to investigate HR matters, suspected fraud and external threats, as well as the platform for eDiscovery and CyberSecurity solutions.
Hoovers: Competitive Intelligence Services—online application service that allows clients to monitor coverage of companies, people, products and issues from a wide compass of intelligence and information sources.
IBM: Agile ECM—an ECM platform integrated with trade process management, designed to deliver the flexibility required to multiply trade adaptability.
iConect: iCONECTnXT—review features, analysis and production tools, key integrations with e-discovery collections, processing and culling.
iDatix: iSynergy—integrated content management designed to enable organizations to innovate their approach to managing content and simplify their daily workflow.
Infoglide: Identity Resolution Engine—enables capturing/leveraging vague identity information to discover hidden relationships with multiple degrees of separation and automate decisions based on results.
InfoNgen: InfoNgen Enterprise Discovery—automatically monitors more than 28,000 online sources and processes more than 600,000 stories per day.
Information Builders: Enterprise Information Management (EIM) suite—real-time management of any structured or unstructured information from anywhere across the entire enterprise.
Inmagic: Presto—a complete companionable knowledge management platform. Click here to survey enhanced product description.
InQuira: InQuira quick-witted Search—a unified system that combines advanced semantic search techniques and contextual understanding.
Integrify: Integrify 5.0—on-premise or on-demand enterprise request management software combining trade process management and workflow. Click here to survey enhanced product description.
IntelliResponse: Instant reply e-service suite—enhances consumer undergo across a variety of censorious customer feel points, including the Web, chat, e-mail and phone.
Intellivision: quick-witted Video—video analysis and replete automation of video monitoring.
iQuest: iQuest Software Suite—integrated software suite that combines companionable network analysis, auto-categorization with text extraction technologies to analyze unstructured data.
ISYS Search: ISYS:web 9—enterprise search solution for intranets, Web sites, Microsoft SharePoint and custom Web applications.
Jive Software: Jive companionable trade Software (SBS)—collaboration, community and companionable network software in a secure enterprise platform.
Jodange: Jodange view Utility for Publishers—an application for publishers that presents online opinions from a wide variety of selected sources to publishers about opinions expressed by those who are influencing their customers, competitors and the marketplace.
Just Systems: xfy XBRL Report—multidimensional instance viewer and report composer allowing extraction of financial data from multiple XBRL documents.
Kapow Technology: Web Data Server—enterprise platform that can wrap any existing Web site or Web application into data feeds or programmatic interfaces with no coding.
Kazeon: Information Server Data focus Edition—integrates discovery, indexing, classification, search, reporting and action into a sole product.
Knowledge Genes: knowledge Genes Enterprise Space—a system for developing and utilizing components of knowledge on a specific matter to enhance the organization.
Lombardi: Teamworks 7—enhances the automation and control of censorious processes through back for large-scale trade process transformation programs.
Lucid Imagination: LucidWorks—robust, open source search solutions.
Metastorm: Metastorm Enterprise—software suite designed to effectively align trade strategy with execution while optimizing the types and levels of trade resources.
Microsoft: MOSS—platform for collaboratively creating, managing and sharing documents and Web services.
Mindbreeze: Mindbreeze Search Appliance—easily deployed enterprise search. Click here to survey enhanced product description.
NetDocuments: NetBinders—a secure mechanism to participate and collaborate on documents.
New conception Engineering: XPump—a content extraction toolkit.
NewsGator: companionable Sites Professional—secure RSS feeds from intelligence sites, blogs, Wikis and enterprise applications where your employees want them—the Web, mobile devices, e-mail clients and desktops.
NextLabs: Compliant Enterprise—entitlement management system to control and audit collaboration and access of applications and data to meet security and compliance requirements.
NextPage: NextPage Information Tracking Platform—tracking unstructured and unmanaged documents through the entire organization and enforcing document retention policies on those documents.
nGenera: nGen Enterprise Collaboration—designed to create a collaborative operating model, new strategic ideation process to back facilitate innovation.
Noetix: Noetix Search—a browser-based search application that enables users to quickly find the prerogative Noetix views for their reports. Click here to survey enhanced product description.
North Plains: TeleScope—highly scalable digital asset management solution for rich media management and distribution, centralization, workflow optimization and virtual collaboration.
Northern Light: SinglePoint Strategic Research Portal—hosted strategic research portal that can be deployed in 90 days to an unlimited number. Click here to survey enhanced product description.
Nstein: DAM 4.0—.Net digital asset management application runs atop several software layers.
Onix Networking: IT Solutions and Services—information access and analysis, IT resource management/security and network solutions for a broad compass of corporate and government customers.
Ontrack Engenium: Semetric—concept-based search engine designed to be embedded in a variety of applications to generate better, faster results.
Open Text: Open Text ECM Suite - Collaboration & Community Management—provides virtual environments in which employees and, at times, external trade partners participate knowledge on projects and collaborate.
Optimus BT: Resolve 2.0—framework leveraging SharePoint for secure, centralized automation of managing, tracking and resolution of issues.
PaperThin: CommonSpot 5.1—an inherently easy-to-use, intuitive Web content management system. Click here to survey enhanced product description.
Perfect Search: faultless Search Appliance—enables rapid search of Oracle, Microsoft SQL, DB2, MySQL and any SQL-compliant database without placing any additional load on those systems. Click here to survey enhanced product description.
PTC (Parametric Technology Corp.): Arbortext Product Information Delivery—a complete product information delivery system that automates the authoring and publishing processes.
QL2: Data as a Service (DaaS)—solutions for customers in the travel, retail, life sciences, information services and government markets through secure, timely, focused delivery of Web data. Click here to survey enhanced product description.
Raytion: Information Management Consulting—enterprise search, categorization and classification offering, including taxonomy management and metadata management.
Recommind: Axcelerate eDiscovery—automatic categorization of documents into computer-generated “buckets” based not just on keyword frequency but also on conceptual meaning.
Responsys: Interact Campaign—interactive marketing campaigns.
Rivet Logic: Open Source Content Management/Consulting—Enterprise 2.0 collaborative community solutions. Click here to survey enhanced product description.
SafeHarbor: SmartSupport—a hosted, managed Web self-service delivery platform.
SAVO Group: Sales Enablement—organizationwide, on-demand, collaborative sales assistance and support.
SchemaLogic: SchemaServer—object modeling, collaboration and governance engine that supports simple list structures, knotty multifaceted taxonomies or ontologies, and enterprisewide metadata structures.
SDL Tridion: SDL Tridion 2009—a unified online marketing suite, combining WCM functionality and online marketing capabilities. Click here to survey enhanced product description.
SDL XySoft (formerly XyEnterprise): LiveContent—XML component content management (CCM) and dynamic publishing solutions.
Search Technologies: Enterprise Search Solutions—recommendation, installation, integration and maintenance of enterprise search platforms.
Semantra: Semantra RapidROI—ad hoc reporting and analytical solution for non-technical users.
Sitecore: Online Marketing Suite—online and offline campaigns and marketing channels to drive traffic to Web sites.
SLI: Learning Search—hosted site search solution that learns from site visitors.
Socialtext: Enterprise 2.0 by Socialtext—pioneering enterprise companionable networking platform.
Software AG: webMethods 8—integration of SOA, B2B and BPM capabilities into a single, unified console.
SpringCM: SpringCM On-Demand Platform—Capture, document management, workflow, collaboration, delivery, records management, reporting and administration.
StoredIQ: quick-witted Information Management—automation of the replete e-discovery life cycle.
Sumtotal Systems: ResultsOnDemand—automated and integrated learning, performance and compensation solutions for talent development.
Sybase: Sybase Adaptive Server Enterprise (ASE) 15—complete trade intelligence and database management.
Symantec: Symantec Online Backup—reliable, secure and cost-effective data backup and recovery.
TCDI: Discovery WorkFlow—centralized workflow definition and control interface capable of automating the launch of processes and resources. Click here to survey enhanced product description.
TEMIS: Luxid—knowledge extraction from unstructured data. Click here to survey enhanced product description.
Teragram: Teragram Categorizer—enables classification and organization of documents and information in an intuitive, browsable hierarchical directory for smart search and retrieval.
TheBrain: PersonalBrain 5—mind mapping software that allows you to link ideas, files and Web pages in a visual interface.
Thunderstone: Thunderstone Search Appliance—combines full-text and structured data without programming.
TIBCO subsidiary Insightful:S-Plus 8 Enterprise Server—predictive analysis integration to trade intelligence, customer relationship management, enterprise resource planning and other corporate applications.
Top Quadrant: TopBraid Suite—semantic technology to connect silos of data, systems and infrastructure and build supple applications from linked data models.
Traction Software: TeamPage—collaborative hypertext platform built to back working communication within and between groups.
Vital Path: PathBuilder—content integration and migration software.
Vivisimo: Velocity Search Platform—robust search for enterprise and government.
Wordmap: Wordmap Search Integration Framework—a complete taxonomy management system.
X1: Enterprise Search Suite 6.0—integrates censorious trade systems and bridges the gap between the desktop and the enterprise.
Xerox: DocuShare—widely deployed Web-based software application delivering content management capabilities.
Xythos: Xythos Enterprise Document Management Suite—document management solutions that feature collaboration with faultless the components that distributed organizations exigency to manage and participate content on the Web.
ZL Technologies: ZL Unified Archive—an integrated suite of applications that deliver archiving, e-discovery search and litigation support, retention management, compliance supervision and storage optimization in a sole scalable solution.
ZyLAB: ZyIMAGE eDiscovery and Production Platform—an end-to-end e-discovery software platform that addresses faultless the key aspects of e-discovery from records management to publishing discovery data into document management software. Click here to survey enhanced product description.
How conclude you determine which marketing automation platform is prerogative for your business?
The reply has become increasingly complicated because more vendors are promising synthetic intelligence (AI) and machine learning capabilities, dynamic content and direct integrations with analytics tools, supply-side platforms (SSP) and demand-side platforms (DSP) and companionable media advertising.
The number of platforms available continues to expand: In 2017, Gartner ranked 22 different products in its Magic Quadrant assessment of multichannel shove management tools. The assortment of terms market research companies utilize to define (and assess) automation tools doesn’t gain it any easier to narrow down to the core capabilities you need.
Vendors with marketing automation capabilities emerge in Forrester Research and Gartner reviews of real-time interaction management platforms, digital marketing hubs and enterprise marketing software suites. Vendor websites aren’t always the easiest to navigate either, especially when you’re searching for specific features.
When searching for the prerogative platform, you may intermission up bombarded with a lot of information you don’t want — or need. After completing a marketing automation vendor evaluation for a client, I attach together the following recommendations for assessing prospective vendors. These are meant to be used as a starting point in creating a set of requirements. They can also serve to pilot your progress of a request for proposals (RFP).1. Database Size
First, deem the size of your customer database.
The number of contacts you maintain is where you should start. If you only maintain 10,000 contacts in your database, even a Popular platform dote Salesforce or Marketo might be too advanced. Similarly, while Mailchimp offers plans for upwards of a million contacts, a full-stack enterprise even appliance such as Adobe or Emarsys will proffer you more sophisticated capabilities and enable you to build a more knotty customer profile.2. Likely Users
It’s very Important to assume about the employees who will be using the platform, and how they will drudgery with others.
If you’re a B2B company, and you exigency to maintain a lofty even of coordination between your marketing and sales teams, a platform that includes a customer relationship management (CRM) system such as Salesforce, HubSpot or Marketo can back you tighten your sales and marketing cycle. For example, your sales team may want to contact potential customers who engage with a particular email shove or landing page. With a CRM system, you can create a workflow that directly notifies your sales team after a customer engagement.
However, if you’re a B2C company with a large digital marketing team, and you exigency to coordinate personalized promotions across web, email and digital ads, a platform built specifically for digital shove creation and customer profile management such as Adobe, Emarsys or SAP will be a stronger fit.
Related Article: Diving Headlong Into Marketing Automation? behind Down3. What You exigency to Accomplish
The next step is to identify your priorities and determine what you exigency a marketing automation platform to do.
Marketing automation tools compass from packages that focus specifically on email date to full-scale enterprise-level marketing suites that allow you collect data from first-party, second-party and third-party data sources and develop personalized messages that can emerge on any number of platforms — from your own website to email messages, companionable networks and third-party ads. Start by outlining the specific marketing features and integrations that you exigency your platform to have. That list might embrace the following:
If you find that you’re using an automation appliance to engage mainly across the email and companionable channels, a appliance built specifically for B2B organizations, such as Marketo or Hubspot, might be better for you than a appliance with more advanced capabilities, such as the Adobe Marketing Cloud or IBM Watson shove Automation.
Related Article: Step Up Your Marketing Automation Game4. Ease of Integration
Now you exigency to assume about whether the automation appliance will integrate easily with your existing systems, such as your content management system (CMS), your CRM system and your data management and analytics tools. Some platforms proffer prebuilt integrations with WordPress, Google Analytics and the Salesforce Sales Cloud, making it easier to create campaigns based on users’ website behavior and demographic characteristics, or where they are in the sales funnel. Others require custom progress drudgery to integrate data from other platforms.5. Reporting Features
Today’s marketing automation platforms proffer an ever-expanding array of digital marketing features, but often their reporting capabilities still lag behind. Therefore, it is Important to determine what even of reporting is available within the platforms you’re thinking of purchasing.
What dashboards are available within the platform that can back you monitor your shove performance? Is it facile to distinguish between one version of a multivariate shove and another? Can you create reports based on age, demographics and geography? Are you able to identify the number, percentage and spending totals of customers who gain purchases, as well as what they buy, after opening a campaign?6. synthetic Intelligence Capabilities
Another Important point to deem is whether a platform’s AI capabilities live up to the vendor hype.
In the past few years, a variety of vendors, including Salesforce, Mailchimp, IBM and Adobe, maintain approach out with AI-driven features that that are designed to deliver predictions and recommendations based on your customer data. However, users of Salesforce’s Einstein as well as IBM’s Watson maintain reported that these features are still immature.7. Setup, Usability and Support
Before buying anything, you should determine how much endeavor it will pick to set up and utilize the platform. You also exigency to find out what benevolent of customer back the vendor offers.
Often, ease of utilize trumps advanced technological capabilities when it comes to determining whether a marketing automation platform will drudgery for your company. It doesn’t matter if the platform has a zillion features — if your team can’t figure out how to utilize it, or has vicissitude integrating it with existing platforms, then it won’t be a success.
To fetch an conception of how facile or difficult a system is to set up and use, you should read online reviews and put a question to the vendor for references. And be sure to put a question to the vendor these questions:
Arming yourself with knowledge of how your people will exigency to utilize a marketing automation system in further of your search will gain it easier to narrow your choices down to a platform that is prerogative for your business. You should prioritize ease of use, adaption time, customer support, who will exigency to utilize it, and your existing utilize cases over “nice to have” features.
Here’s one terminal piece of advice: When you put a question to for a response to an RFP, you should put a question to vendors to record how they provide unavoidable features — as opposed to just asking whether they proffer them at all. Vendors will always roar yes to a requested feature. Asking how they provide the feature provides you with insight into whether or not the platform will office as you want and anticipate it to.
Alisa is the marketing manager at MaassMedia, a boutique digital analytics solid based in Philadelphia. She has extensive undergo creating digital strategies for companies in the technology, financial, consulting, manufacturing, education and non-profit industries.
In a previous article: Enterprise Blockchain Has Arrived, I listed a number of key blockchain utilize cases that are gaining acceptance in enterprises. Since that article my company DoubleNova Group has been approached by many executives, investors, and startups who are looking for more information and clarity on key enterprise utilize cases.
This article details 3 key sectors that are gaining traction plus their Important associated utilize cases. It was co-developed with my colleague Radhika Iyengar-Emens of DoubleNova Group. The content draws heavily on their undergo advising apropos blockchain companies or collaborating with hands-on matter matter experts. The sectors and utilize cases are:
Supply Chain Management
· Product traceability (Track & Trace)
· Product provenance & authenticity
· Fighting Counterfeit Drugs
· Electronic Health Records (EHR) Interoperability
· Cross brink Payments
· Supply Chain Financing
For each sector, they examine the industry, its key challenges, and then how blockchain and distributed ledger technologies (DLT) can provide innovative and powerful solutions. First though, they debate centralized processes in the enterprise ecosystem as a counterpoint to the new decentralized systems.
Centralization in the Enterprise
Most enterprise-grade software infrastructures are centralized systems that provide services within a sole company, primarily to its employees. These systems may also provide restricted access between a company and its direct partners or vendors. For example, most large companies maintain an enterprise resource planning (ERP) system which integrates faultless their major trade functions such as procurement, sales, HR, accounting, governance, etc. to enable more efficient operations. Though internally integrated, ERP systems are very challenging and expensive to integrate with other systems.Centralized Architecture: Licensed from Adobe Stock
There are many other centralized enterprise software platforms dote customer relationship management (CRM), ecommerce systems, content management systems (CMS), trade intelligence (BI), marketing automation software, etc. that back companies automate and streamline many Important trade functions. In healthcare, providers also gain utilize of centralized electronic health records (EHR) systems to track patient information. faultless these various systems are typically hosted under centralized public, hybrid or private cloud architectures. Integration of different enterprise software systems within a company or across companies can be knotty and costly, so many systems become silos of data and functionality.
Data sharing across an ecosystem, be it in healthcare, supply chain, or finance is very Important for improved productivity, so each sector has developed centralized solutions to span their ecosystems. When spanning an ecosystem, data sharing invariably links competitive groups. This reality plus the exigency to maintain trust, protect against hacking, and help interoperability has led to two main types of solutions. Government-mediated centralized solutions are more common in regulated industries such as banking, financial services, and healthcare. sole company mediated centralized solutions are more common in more unregulated industries dote supply chain and logistics.
Here’s a quick overview of some examples of centralized ecosystem-level infrastructures that are currently in place:
Supply Chain/Logistics: The two largest names in retail in the US are Walmart for brick and mortar ($500B in revenue) and Amazon for online ($178B in revenue, 40%+ of online orders). Both giants maintain the most efficient and technologically sophisticated supply chains that are actively studied by the entire industry. To provide process transparency and control and drive down costs and shipment time, both leaders maintain centralized and own the majority of their logistics and warehouse infrastructure. For example, Amazon has invested billions of dollars to build hundreds of fulfillment and sorting centers (warehouses), has deployed tens of thousands of robots, and has built out a fleet of planes and delivery trucks. Both Amazon and Walmart maintain developed their own centralized custom supply chain software and mobile apps and employ hundreds of thousands of employees to operate their supply chain and logistics infrastructure.
Healthcare: In many countries, patient health records are being or maintain been converted to electronic contour and stored in electronic health record (EHR) systems. Despite interoperability standards to promote more data sharing, few if any of these systems can successfully communicate with each other. As a result, government-backed health information exchanges (HIEs) maintain been funded and set up to create a centralized repository of patient records at the community, state, regional, and/or country level. Some HIEs are federated, meaning that they maintain the data in a decentralized fashion, others hybrid, however, today most are centralized. pile a country-spanning, centralized HIE infrastructure is a behind process and for the US a goal of 2024 has been set by the government for the progress of a basic interoperable health IT infrastructure. Global systems are also migrating to decentralized models, and hybrid models (centralized and decentralized combined models) are expected to grow the fastest through 2024.
Financial Services/Banking: The banking sector in each country is generally overseen by a central bank which is often controlled by the condition government. The central bank sets monetary policy, regulates the banking system, acts as a central clearing house for transactions, and holds national and international currency reserves. In the financial services sector securities transactions are typically mediated by centralized clearing houses. Clearing houses act as an intermediary to securities transactions to transparent and settle the transaction, regulate delivery of the instruments bought or sold, report trading information, and reduce counterparty risk (options/derivatives). In the US most securities transactions Go through a process of settlement and reconciliation mediated by the clearing houses which generally takes 2 days (T+2).
Some of the main challenges with these large centralized systems include:
· exigency for trusted intermediaries
· lofty costs
· Multiple versions of the ‘truth’
· exigency for record matching or reconciliation
· sole point of failure
These points will be explained in more detail in the specific utilize cases below.
Blockchain in the Enterprise
Enterprise blockchains are typically permissioned systems in which only known partners are participate of the network. This is different from public blockchains (like Bitcoin or Ethereum) in which nodes are anonymous and faultless information is publicly available. This approach is generally required by corporations because they conclude not want to participate their confidential information with unknown third parties.Enterprise Blockchain: Licensed from Adobe Stock
Permissioned blockchain systems enable trusted peer to peer transactions and ration transaction data across a network so that faultless authorized players survey the identical information. While centralized systems are optimized for sole players, decentralized blockchain systems are optimized for working across an ecosystem. Decentralized systems, by their very nature, require a community of many players in order to be useful and maximize their capabilities. Key benefits include:
· No exigency for trusted intermediaries
· More cost effective
· No exigency for costly record matching or reconciliation
· Reduction in hacking risk
These benefits result in an Important paradigm shift when industry groups determine to adopt blockchain technology. The key industry players often band together in a consortium, not just to develop a standard, but actually to drudgery together and participate information. What is fascinating is that competitors in the consortium accord to open their centralized software infrastructures to one another in an unprecedented manner. Today there are over 100 blockchain consortia, including:
· Enterprise Ethereum Alliance (EEA): 500 members including Cisco, Accenture, Bancor, Consensys, Intel, HP Enterprise, J.P. Morgan, NTT Data, Microsoft, Pfizer, Samsung
· We.Trade (Trade Finance): 9 key banks including HSBC, Deutsche Bank, UniCredit, Rabobank, KBC, Natixis, Nordea, Santander and Société Générale
· R3 Fintech Consortium: 200 members including Barclays, Bank of America, Citibank, Morgan Stanley, Goldman Sachs, J.P. Morgan, Credit Suisse, and UBS
· Blockchain in Transport Alliance (BiTA): 300+ members including UPS, FedEx, JD.com/JD Logistics, SAP, Google, Daimler, Salesforce, GE Transportation, P&G, HP, Hitachi, Microsoft
· Hyperledger: 200+ members including IBM, SAP, J.P. Morgan, TradeShift, NEC, Cisco, Accenture, American Express, Baidu, Deutsche Bank, Daimler, Aetna, Lenovo, Oracle
The enterprise ecosystem has deployed thousands of pilots over the terminal few years. Many real-world live deployments are projected for 2019. The following sections review key applications and utilize cases of enterprise blockchain technology.Key Use Cases Supply Chain Management (SCM)
Global supply chains are liable for the creation and distribution of most products that are manufactured today. Some of the most knotty supply chains, for specimen for cars or airplanes, embrace hundreds of thousands of individual parts and span thousands or tens of thousands of companies. The total value of faultless products in supply chains is currently valued at 2/3 of Global GDP annually (>$50 Trillion).Supply Chain Management: Licensed from Adobe Stock
The key actors in supply chains embrace materials providers, suppliers, logistics providers, manufacturers, warehouse managers, distributors, and intermission customers. Each of these actors usually stores its own information in an ERP system. These ERP systems are rarely linked with the other actors due to privacy and security concerns. Each actor usually only has information about the group just before and just after their step in the chain. As a result, data across the supply chain is fragmented and siloed so each stakeholder has wee visibility to the overall condition of the chain.
Not only is data siloed within the chain, but also data quality, accuracy and integrity are not optimized. Many ERP systems copy information from spreadsheets or faith on data entry from paper-based systems which is error-prone and unsupervised. Each hand-off in the supply chain rarely institutes checks on products or information. Ports, for example, are a well-known weak point. The result is that data within centralized supply chain systems is often unreliable and can be easily compromised or hacked by sinful actors. The total value of counterfeit products within supply chains is projected to exceed $2 trillion by 2022.
As notable earlier, the largest US supply chain players (i.e. Amazon and Walmart) maintain spent many billions of dollars to internalize the entire logistics chain and apply custom technology solutions so that they can cope with the challenges above. This approach, however, is untenable for most players as the capital and operational costs are too high. Supply chain players can embrace enterprise blockchains as they provide a much lower cost solution to the identical challenges.
Enterprise blockchains provide:
· A secure shared ledger that can provide visibility across the entire supply chain
· Smart contracts to implement agreements and validate data for each transaction
· Accurate, immutable information that makes it feasible to quickly find sinful actors
The trade case for blockchain is clear: higher revenues, lower costs, more efficient processes, reduced fraud, plus elimination of sinful actors.
Key Blockchain utilize Cases for Supply Chain
As notable above, permissioned blockchain systems can provide visibility and better data across supply chains. Common applications include:
· Product traceability
· Product provenance & authenticity
· Process transparency
Let’s inspect at each in turn.
The aptitude to quickly find the root of a product is Important in different contexts. For example, deem food traceability. Mass food disease outbreaks from foods infected with Salmonella, E. coli, Listeria, or parasites generally create widespread panic. Food scares can lead to huge losses for food producers and distributors when specific products (i.e. spinach, lettuce, beef, etc.) are pulled from shelves en masse and destroyed both in store and back at the farm. As many food-borne illnesses are eventually traced back to a sole farm or even a sole batch of product, finding the source of contamination quickly can reclaim millions of dollars.
With current supply chain systems, food traceability often takes a week or more since data is fragmented and siloed and each participate of the supply chain needs to be contacted directly. A week may look dote a short time, but as the media reports on illnesses and deaths mount, retailers and farmers are forced to intermission products quickly to regain consumer confidence. US food safety outbreaks lead to 48 million illnesses, 300,000 hospitalizations and 5000 deaths annually. They also cost the US economy more than $93 billion each year. Globally the numbers are much larger, 600 million illnesses and 420,000 deaths annually from food contamination. Smaller retailers and farmers are especially hard hit since they maintain to absorb the losses and some are usually forced into bankruptcy.
As notable above, blockchain-based supply chain systems can provide an accurate and immutable record of faultless transactions across the chain. These systems allot a unique ID and unhackable decentralized tagging system that tracks food at the batch or lot number. Often the unique ID is based on a global measure to ensure that faultless stakeholders are using the identical approach for identifying their products. Since faultless nodes maintain access to this record, traceability becomes routine.
Pilots with Walmart and other large food retailers maintain already demonstrated that blockchain-based systems can determine the root of a package of food in seconds or minutes (IBM Food Trust), as opposed to 6–7 days under current systems. Since these blockchain-based systems can rapidly find the source of food safety outbreaks they provide the break to greatly reduce the scale of food borne illnesses and related supply chain economic losses.
Product Provenance & Authenticity
As notable above, the global counterfeit goods market is a multi-trillion dollar problem, and growing larger. A significant fraction of this number is fake extravagance goods — the well-known brands behind handbags, lofty intermission clothes, and accessories. Many people who purchase counterfeit branded products may not be conscious that the products are fake, because they may purchase them through reputable web sites, outlet stores, or replicas of the retailer’s or manufacturer’s web site.
In today’s supply chain systems there is no simple pass to track the provenance and authenticity of a product. More sophisticated centralized systems, such as EPCglobal, maintain used barcodes, unique electronic product codes (EPC), and RFID technology to track items through the supply chain. These systems, however, faith on centralized certificate authorities and centralized databases and so are fundamentally insecure since they maintain sole points of failure that gain them susceptible to hacking risk.
Decentralized and ultra-secure blockchain systems allow product tracking to its root (authenticity) and through every step of the supply chain (traceability). pile on this foundation, a number of blockchain projects draw to utilize Decentralized Apps (DApps) that utilize information in the supply chain to authenticate that a product, such as a extravagance good, is in fact authentic. The DApp enables a user to scan a QR code on the product which provides a replete trace and validation of the product’s authenticity.
Such an approach tracks the product or a product’s components through every step in the chain, for specimen via an embedded RFID or NFC chip. At each step in the chain, the RFID chip is scanned, a smart constrict is executed, and then multiple trusted nodes verify the information is revise before it is written to the blockchain ledger. Each entry in the blockchain ledger is cryptographically signed and encrypted which deters fraud and reduces the desultory of hacking. Since the entire supply chain process becomes transparent, it becomes feasible to quickly and inexpensively validate product authenticity. Any product that doesn’t enable DApp-based authenticity then becomes suspect which disincentivizes fraud.
Provenance takes authenticity one step further by also providing information about the entire history of a product through the supply chain. So, for example, the location history, the custody history, and the environmental conditions during the journey can be tracked and stored immutably on the blockchain. This sort of information — GPS coordinates, custody IDs, temperature data, accelerometer information (for damage assessment) — is typically provided by Internet of Things (IoT) devices. These devices dispatch out data streams that in combination with decentralized consensus are then written to the blockchain. Since blockchain technology reduces verification costs it will likely gain widespread adoption and so gain checking product authenticity and provenance commonplace.
A significant growth region is tracking of temperature for products in a temperature controlled supply chain or ‘cold chain’. Perishable products dote food or medicine often exigency to be refrigerated and freshness or viability can be impacted by temperature swings. A significant fraction of food and medicine is spoiled during shipment due to intentional or incidental conditions that warm the product above recommended or agreed ‘cold chain’ temperatures. IoT devices can continuously measure temperature and store the log, via a hash on the blockchain. This log then provides an immutable and independent temperature record that can be used for enforcing accountability and understanding conditions that led to spoilage or damage.
Other utilize cases can embrace verification of specialty crop certifications (i.e. impartial trade, organic), root and authenticity of lofty value goods (i.e. diamonds, precious metals, extravagance goods, etc.), conflict-free designation (i.e. NOT blood diamonds or using child labor), and provenance/authenticity of medical drugs (i.e. pharmaceuticals — covered below in the healthcare section).Healthcare
Most developed countries in the world expend approximately 10% of GDP on healthcare. Despite august advances in medical technology, many studies maintain shown that the US healthcare system is one of the most inefficient in the world. The US healthcare system has the highest annual spending ($3 trillion) yet is one of the poorest in health outcomes when ranked against the relaxation of the developed world. Other global, system-wide issues in healthcare embrace hundreds of billions of dollars annually in medical fraud and counterfeit prescription drugs.Inefficient Healthcare: Licensed from Adobe Stock
The lofty levels of inefficiency and fraud in healthcare systems arise from exigency of data and process transparency, pervasive vulnerability to hacking, and data siloing in organizations. As notable previously, permissioned enterprise blockchain systems are pattern for spanning ecosystems to multiply data and process transparency, reduce hacking, and help data sharing between organizations. As a result, there is a sturdy conceptual proper between enterprise blockchain and the sort of solutions needed for the healthcare ecosystem.
Now let’s pick a inspect at some of the most Important and pressing utilize cases.
Fighting Counterfeit Drugs
The global pharmaceuticals industry is august business, valued annually at $1.1 trillion. Pharmaceutical companies expend tens of billions of dollars and Go through an arduous process to produce and commercialize prescription drugs. With the global counterfeit drug market valued at $200 billion annually, there is a transparent motivation in the pharma sector to fight counterfeiting. What is also at stake are human lives, with adverse reactions and effects to these fake drugs, which can lead to death. In unavoidable parts of the world, up to 50% of the drugs are counterfeit.Counterfeit Drugs: Licensed from Adobe Stock
In emerging markets, 10%-30% of prescription drugs are counterfeit, with issues ranging from tampered drugs to drugs with incorrect ingredients or incorrect proportions of ingredients. Most of the counterfeit drugs are being produced in China and India but sold worldwide. A very apropos specimen of this sort of fraud, is the recent (July 2018) China vaccine scandal where a government vaccination program was establish to maintain administered hundreds of thousands of faulty vaccines to juvenile children.
At the root of global pharmaceutical fraud is a supply chain transparency and product authenticity problem. Without transparency in the supply chain it is very difficult to pinpoint the root of the fraud, identify the sinful actors who perpetrated the crime, or verify product authenticity. What is needed is for the entire process, from production to property assurance to distribution, to be secured in an unhackable database with each entry cryptographically signed and encrypted. This capability and its resulting transparency is exactly what blockchain technology provides.
Like in the case of food (above), the blockchain ledger can provide transparency end-to-end for drug production and distribution, including visibility into every stage of the supply chain. The implications of this even of detail are enormous. Not only does blockchain technology help the traceability of prescription drugs in the supply chain, it can also ensure that international standards are upheld, such as GDP (Good Distribution Practices), ensuring the integrity and property of the medication for the intermission user. Additionally, it will also be much more difficult for sinful actors to tamper with the process or for pharma companies themselves to market fraudulent products.
It is for this intuition that the blockchain community in China has called for placing faultless vaccine data on a transparent blockchain system to recur consumer trust. With such a system in place, healthcare professionals or pharmacists could scan a QR code on the product to ascertain authenticity and/or the dosage of the dynamic ingredients.
Electronic Health Records Interoperability (EHR)
Electronic Health Record (EHR) systems were created to produce better patient health outcomes by providing complete patient medical information at the point of care. In a previous article, Blockchain in Healthcare: A Data-Centric Perspective, they illustrated how EHR systems are fundamentally broken since healthcare data continues to be siloed and interoperability remains a huge challenge.
One of the main reasons that health systems are inefficient is that doctors and nurses often exigency patient historical health information when diagnosing a patient. Each patient’s health records are typically splintered across many EHR systems, or even antiquated paper records, and scattered across different providers (i.e. doctors, specialists, hospitals, labs, clinics, etc.). Since these systems are rarely interoperable, the patient’s records are inaccessible. Generally, the exigency of medical context and the exigency of continuity in a patient’s health record, exacerbated by delays in obtaining apropos information from other providers, means that doctors cannot efficiently and fully handle a patient other than for symptoms being presented. This can be a life threatening set of circumstances in emergency situations.
As notable above, Health Information Exchanges (HIEs), were conceived as the solution to these issues, with the expectation that sharing apropos patient information would provide the missing context in a patient’s health history, however the reality has been quite different. In the US, HIEs conclude not operate across condition lines, and few systems drudgery across country borders. In their increasingly mobile behavior, the urban population is less likely to be in one space for their life span. As most HIEs accommodate only a wee portion of a patient’s medical record, it is time-consuming and expensive to access faultless the information and migrate it to a unified system. Current centralized models are expected to migrate to decentralized models by 2024.
Enterprise blockchain technology can create the missing interoperability links unifying healthcare systems so that data can be shared quickly and seamlessly across providers. The concept is that faultless providers would unite a network of permissioned blockchains that would enable them to retain control of their data, while being able to participate requested patient information to another authorized provider. This is in essence a decentralized HIE that would utilize smart contracts, the immutable ledger, and blockchain security to create a higher even of faith between participants leading to faster adoption.Banking/Financial Services
The banking and financial services sectors, especially fintech, were the first areas to adopt blockchain technology. They are clearly massive sectors that deal with vast quantities of the world’s money. Electronic money transfers that plod through the US exceed $2.5 quadrillion per year or nearly $10 trillion per day. Stock market capitalization is nearly $70 trillion across the 60 largest stock markets.Money: Licensed from Adobe Stock
Key challenges in these sectors include:
· behind payment processing
· lofty fees
· exigency of transparency
· exigency of liquidity
Let’s inspect at three utilize cases where these issues are exemplified and how enterprise blockchains can provide solutions.
Cross brink Payments
Trillions of dollars of cross-border payments pick space every day. deem a pharmaceuticals company in Colombia that wants to pay a marketing solid in Chile via a wire transfer. The system works through a system of correspondent banking relationships plus centralized messaging systems known as SWIFT (Society for Worldwide Interbank financial Telecommunication), Fedwire, and/or CHIPS (Clearing House Interbank Payments System).
Since the banks for the pharmaceutical company and the marketing company may not maintain a direct relationship, there are many intermediaries needed to process the transaction, which becomes knotty and fees add up quickly. In the best of cases this sort of knotty transaction may process in 3–5 trade days, but if you embrace holidays and weekends spanning multiple countries, the transaction may pick 1–2 weeks to complete.
Enterprise blockchain solutions enable banks without an existing trusted relationship to dispatch electronic transfers to each other directly without the exigency for intermediaries. Today more than 90% of large banks are piloting blockchain systems and cross-border payments is one of the primary utilize cases.
Live blockchain enabled production systems and many pilots maintain shown that transfer times can complete in minutes at a fraction of the cost of current systems. The goal is to gain cross brink transfers as expeditiously as email between most major countries. One of the outstanding challenges which has not yet been overcome is the acceptance and adoption of digital currencies universally to ensure that settlement happens quickly and transparently.
Supply Chain Financing
During the course of commonplace operations, wee and midsize businesses (SMB) within supply chains may suffer from significant cashflow shortfalls. A common occasions is that a trade receives a large order for goods but has insufficient funds to purchase components or services from other businesses to fulfill the order. Another case is that the SMB fulfills the order but then due to long invoice payment terms cannot meet its own operational financial obligations and cannot fulfill other orders. These scenarios are significant real-world problem for many enterprises as it is projected that there are trillions of dollars of goods recorded on corporate poise sheets that will never be delivered.Supply Chain Financing: Licensed from Adobe Stock
In many instances, SMB suppliers or providers in enterprise supply chains may turn to banks or lenders for purchase order financing or invoice financing to cover their cash shortfall. In purchase order (PO) financing a trade receives the majority of the PO value upfront, minus fees, so that it can fulfill the order. In invoice financing a trade receives a short-term line of credit equal to 70–90% of the pan value of the invoice as immediate cash. In nearly 50% of instances, however, banks reject these financing requests since they often conclude not maintain a trusted relationship with the SMB or its trading partners and cannot qualify the risk.
In a blockchain-based supply chain the ledger can provide secure and immutable evidence regarding the validity of the PO or invoice as well as information about the trading partners, letters of credit, bills of lading, and other trade instruments. It can also validate that the SMB has not offered the PO or invoice to other parties for financing. The blockchain-based system can utilize smart contracts that trigger payments to the lender based on specific agreed milestones. Such a system enables banks and other lenders to quantify and qualify their risk, while helping enterprises to fulfill censorious supply chain transactions, overcoming the major problems in today’s centralized systems.Conclusion
Enterprise blockchain systems are uniquely positioned to create valuable solutions for significant challenges in supply chain, healthcare, and financial/banking ecosystems globally. These decentralized, ultra-secure systems gain faultless trade sense since they can multiply revenues, reduce costs, multiply efficiency, and deter sinful actors. It is projected that enterprise blockchain solutions for the sectors covered in this article will originate initial deployments by Q4 2018. They believe the solutions will be deployed in each sector in the order that they maintain presented.
We are confident that 2019 will survey a significant multiply in enterprise blockchain adoption on a global basis. They also project that blockchain technology will be combined with AI and IoT systems to create ultra-secure and smart infrastructures. They believe that current scalability in permissioned systems is adequate for initial deployments and will foster increased investment in enterprise blockchain.
Acknowledgements: Thanks to Radhika Iyengar-Emens, my colleague at DoubleNova Group, for her contributions.
Copyright DoubleNova Group/Paradigms Consulting Group 2018
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