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“The healthcare commerce is exploding with novel information, and as they proceed to movement towards superior scientific analytics, they comprehend this vogue is not slowing down,” states Bryan Fiekers, Senior Director of analysis at HIMSS Analytics, in a examine that focus on modernizing healthcare technology.
This commentary just about sums up probably the most largest challenges dealing with healthcare agencies today. And it too highlights some of the strongest alternatives for people that want to breathe on the forefront of reworking biomedical research and advancing precision medication.
within the literally exabytes of records flooding into clinical analysis and repair start companies, at the moment prevaricate insights that can support lives, lead to novel discoveries, and radically change affected person care – for the businesses inclined to optimize the style they leverage, analyze, and form the most of their most profitable useful resource: data.
here's the message that IBM systems will deliver to the 2019 HIMSS Annual conference and Exhibition (HIMSS19) in Orlando, Florida, on February 11-15. at the back of this message exists a proven reply that helps one of the crucial largest main precision drugs initiatives worldwide – the IBM high-performance records and AI (HPDA) reference structure for healthcare– a basis that may assist corporations leverage the alternatives inherent in their colossal novel statistics units.
even if you are a health insurer that deserve to provide remarkable capabilities to support people form more advantageous decisions to support their health; a college researcher publishing journal articles seeking to win your next circular of award funding; a data scientist in industrial R&D solid progressing capabilities drugs through clinical trials; or a doctor in a health heart offering remedies with a purpose to provide patients the most advantageous scientific effects – with HPDA you'll event novel records for pace and scale. within the 21st century, healthcare stakeholders want a professional, bendy, and relaxed computing platform that meets their different software necessities.
through their drudgery with many overseas groups and healthcare industry commerce companions, IBM has seen that companies that adopted their HPDA reference structure for genomics, imaging, EHR, profound studying and different huge information initiatives in biomedical analysis Have performed efficient effects and captious merits.
At HIMSS19, IBM will characteristic a few true-world examples of HPDA architectures and add-ons assisting businesses transform their capabilities to benefit insight from big datasets.
as an instance, Aetna improves personalised care by using presenting true-time entry to information and attribute functions that support tens of hundreds of thousands of individuals form greater decisions to support their health and manage prices. The session at the IBM sales space #6459 at HIMSS19 will pomp how the inclusion of excessive-efficiency IBM storage and software-defined infrastructure superior the ordinary efficiency and speed to birth of the commercial enterprise statistics warehouse, allowing Aetna to analyze big amounts of facts sooner, while addressing compliance and privateness-linked concerns – and chopping prices.
booth visitors will too find out how Thomas Jefferson institution is coupling significant collections of distinctive biological datasets with excessive-efficiency computing to drive novel advances in precision drugs. The Jefferson team has generated facts from processing massive quantities of information to pomp that an individual’s intercourse, race/ethnicity, and geographic starting situation Have an consequence on predisposition for disorder, how a disorder may growth, and the therapeutic options that can breathe most vital to pursue.
The IBM HPDA architecture is built on IBM’s historical past of supplying finest practices in high-performance computing (HPC). truly, the primary HPDA framework was used to construct zenith and Sierra – presently two of the area’s strongest supercomputers designed for records and AI. The structure is designed to aid healthcare and life science corporations comfortably scale compute and storage materials as exact grows, and to aid the wide compass of construction frameworks and functions required for industry innovation – Gross with out unnecessary re-investments in technology.
Our reference architecture for healthcare carries key infrastructure components from IBM’s excessive-performance compute and storage portfolio, and it supports an increasing ecosystem of main trade partners. The IBM HPDA architecture is in accordance with IBM Storage and IBM software-defined Storage solutions, utility-defined infrastructure, IBM POWER9 servers, and the IBM POWERAI complete AI platform. It defines a enormously bendy, scalable, and inexpensive platform for gaining access to, managing, storing, sharing, integrating, and inspecting big data inside the constraints of restricted IT budgets. IT businesses can exhaust the reference architecture as a high-stage book for overcoming records management challenges and processing bottlenecks often encountered in personalised healthcare initiatives and other compute- and statistics-intensive biomedical workloads.
Introducing the novel capabilities of the IBM HPDA structure and offering customer success reports aren’t the handiest highlights IBM systems will characteristic at HIMSS19. they can additionally host a breakfast briefing panel dialogue masking the captious duty that an HPDA structure can play in assisting healthcare groups remedy some of the largest research and analytics challenges they face. during this panel, Aetna, representatives from Louisiana condition university, and Froedtert health will share how they are accelerating discoveries and improving personalised care through the exhaust of bendy, scalable, at ease, and inexpensive excessive-efficiency systems that may leverage the cloud to breathe positive the optimum degrees of information availability, reliability, and compliance.
Come meet their IBM systems HPDA industry specialists for a demo on the IBM booth #6459. And before you go, salvage a glimpse of their complete periods time table in this blog – Making precision drugs a reality.
February 4, 2019 Alex Woodie
there's a big records analytics revolution taking region that threatens to sever the AI haves from the have-nots. agencies that avoid the IBM i server wish to salvage in on the analytics motion similar to each person else, but AI discussions commonly stray faraway from IBM i. Now Fresche solutions is working to close that disconnect with a collection of tutorial lessons founded squarely on the intersection of IBM i and Watson.
closing yr, Fresche options worked with IBM final year to achieve together a collection of onsite working towards seminars aimed toward giving IBM i professionals the educational tools they exigency to invoke Watson in their companies. The onsite classes were so a success that Fresche determined to parlay that content material prerogative into a series of online lessons that IBM i experts can entry at their entertainment through their net browser.
Fresche produced a total of six courses that are divided into two courses, which can breathe purchased one at a time or as allotment of a bundle. Gross classes fuse a combination of lectures and demos, and are accessed remotely via Fresche’s working towards site at practicing.freschesolutions.com.
The instructor for the lessons is Mike Pavlak, the Fresche IT strategist and IBM Champion. in keeping with Pavlak, the primary course, which is titled “Connecting IBM i purposes to Watson,” is geared towards utility developers, whereas the 2nd path, titled “Connecting IBM i information to Watson,” is geared towards statistics engineers and statistics scientists.
the first direction begins with a basic introduction to Watson, before stepping into greater advanced themes within the second phase, similar to using soap and rest APIs to link IBM i purposes to Watson. within the third segment, attendees salvage in-depth guideline on how to exhaust open supply analytics packages, equivalent to Python, with Watson and their IBM i applications.
The 2d route begins with the basics of growing database connections between IBM i and Watson, as well as getting access to audit journals and using Watson to research convivial media. The 2d aspect gives developers more superior guidelines on one of the crucial underlying HTTP and JSON options. The third aspect guides attendees during the manner of pile a true-world software that contains information marts, ETL, and Watson’s laptop discovering tech.
The denomination “IBM Watson” may conjure up Gross kinds of ideas in americans’s minds, however’s in fact now not Gross that advanced, in response to Pavlak. “Watson is almost a web service,” he says. “It’s software as a carrier. That’s it. That’s Gross it's.”
The carrier can attain a number of issues, from elementary sample attention and facial cognizance to “full on facts analytics,” Pavlak continues. “nevertheless it’s in simple terms a service-oriented providing — which means, if you exigency to exhaust Watson, you’re going to exigency to thrust your records and quiz it questions after which salvage a response lower back and parse that as you contemplate healthy.”
The courses are first rate for anybody who needs greater tips on how Watson applied sciences can combine with IBM i purposes. but Pavlak wants to form positive that the abilities is material to different applied sciences, and is efficient in other contexts, too.
“We’re going to through now not simply RPG basics within the category, but additionally tips on how to leverage Watson from open supply tech, and some of those more recent technologies fancy Python, php, etc,” he says. “There’s loads of Python that makes up the computer getting to know and profound learning house. Watson itself has Python components.”
“What I’m extra interested is how i can leverage Python from my IBM i to leverage Watson. Or how am i able to exhaust RPG or Hypertext Preprocessor. What I are looking to form positive customers Have the understanding that they’re not tied into a selected technology, they’re not locked into ‘Oh my gosh, i can simplest exhaust RPG for this or Python for that.’ you've got flexibility and alternate options available.”
In constructing the curriculum, Fresche worked significantly with the IBM Cognitive team, as well as with IBM leaders from the Rochester lab, together with DB2 for i commerce architect Scott Forstie and Jesse Gorzinski, IBM i open source enterprise architect. “They had been instrumental in assisting us,” says Fresche options senior director of advertising Christine McDowell.
The on-line courses had been available for the intuition that early October, and Fresche is now ramping up the consciousness crusade to generate demand. “We’re basically enthusiastic about this,” McDowell says. “here's everything you wish to know about Watson.”
Alison Butterill, product offering manager for IBM i, says she’s extraordinarily pleased to peer the path travel online. “We’re working intently with Fresche and together we’re leveraging their global attain and extensive partner community to breathe positive that every person is awake of how effortless it is to form exhaust of Watson on IBM i,” Butterill says.
Fresche, which bought BCD utility, looksoftware, Databorough, and other sought after IBM i providers, is basically concentrated on selling software used for application modernization. When Fresche engages clients in a modernization initiative, they frequently birth with a discovery section, which naturally leads to strategy and product roadmap phases down the road.
“loads of times the conversation will flip to statistics analytics,” McDowell says. “Our hobby is completely is making bound that we’re well-versed in what customers can attain with AI, and making bound that flows through so they could form decisions for the longer term.”
providing practicing for IBM Watson is a herbal evolution for Fresche, says Andy Kulakowski, the president and chief government officer of the Montreal, Quebec-based enterprise.
“We give strategic IT tips for digital transformation enablement and application modernization solutions to aid IBM i clients leverage their IT assets,” Kulakowski says. “Our valued clientele raise talents of contemporary technologies together with AI, cloud, net and mobile as gear for success. We’re excited to carry working towards with a purpose to aid IBM i valued clientele boost productiveness and supply sustainable growth for the future.”
each analytics assignation is wonderful to a particular business’s mannequin and its method. but early big statistics analytics and AI patterns Have emerged, and practitioners are seeing commonplace issues, comparable to examining convivial media content material, growing improved customer personalization, and optimizing give chain selections. These are Gross areas that are ripe for disruption via AI.
“As groups issue to modernize, they’re taking a stare at operational efficiencies, they’re delivering on more enterprise price, they’re competitive threats,” McDowell says. “They’re taking a stare at the situation they exigency to breathe in five years. technology is a huge allotment of that. It’s a major driver. And examining what analytics can attain for them is a big a allotment of what we’re dealing with.”
Fresche’s two courses can breathe organize for $450 each and every, or a bundle with each can too breathe bought for $799. For extra suggestions, contemplate practising.freschesolutions.com.related experiences
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IBM nowadays introduced it is collaborating with Deutsches Elektronen-Synchrotron (DESY), a number one countrywide research middle in Germany, to speed up management and storage of big volumes of x-ray statistics. The deliberate huge facts and Analytics structure based on IBM utility defined technology can exploit greater than 20 gigabyte per 2d of facts at peak performance and abet scientists international benefit sooner insights into the atomic constitution of novel semiconductors, catalysts, biological cells and different samples.
DESY's 1.7 mile-lengthy PETRA III accelerator is a super microscope that hurries up electrically charged particles nearly to the velocity of simple – about 186,000 miles per 2d – and sends them through a taut magnetic slalom path to generate probably the most extraordinary x-ray radiation of its kind. This synchrotron radiation is used by using greater than 2,000 scientists each and every year to investigate the interior constitution of a total lot of substances with atomic decision. A key challenge during this technique is storing and coping with big volumes of X-ray facts. .
"a typical detector generates a scholarship stream of about 5 Gigabit per 2d, which is about the statistics volume of 1 finished CD-ROM per 2nd," observed Dr. Volker Gülzow, head of DESY IT. "And at PETRA III they attain not Have only 1 detector, but 14 beamlines fitted with many detectors, and they're currently being extended to 24. Gross this huge facts must breathe stored and dealt with reliably."IBM utility described Storage expertise code identify Elastic Storage permits DESY to form exhaust of to shop and address the massive records flowing from PETRA III each 2d. credit score: DESY
DESY is addressing this massive statistics challenge with the aid of IBM research and IBM utility described Storage expertise code identify Elastic Storage that may scale simply to support and exploit more than 20 Gigabyte of data flowing each 2d from PETRA III. Elastic Storage can deliver scientists with high-speed entry to increasing volumes of research information. This structure will allow DESY to strengthen an open ecosystem for research and present analysis-as-a-carrier and cloud options to its users global.
"IBM's application described storage technologies can deliver DESY the scalability, speed and agility it requires to morph into a true-time analytics service company." spoke of Jamie Thomas, ordinary supervisor Storage and application described systems, IBM. "IBM can raise the adventure received at DESY and transfer it to other fields of information intensive science comparable to astronomy, local weather analysis and geophysics and design storage architectures for the evaluation of data generated by means of allotted detectors and sensors."
The scalability of the gadget can aid DESY and a number of foreign partners which are at the moment pile the X-ray laser European XFEL, a research simple supply in order to generate even more information. "We forecast about one hundred Petabyte per 12 months from the ecu XFEL," spoke of Dr. Gülzow. this is corresponding to the each year statistics quantity produced at the world's greatest particle accelerator, the tremendous Hadron Collider (LHC) at the analysis core CERN in Geneva.
DESY is among the world's main accelerator facilities and a member of the Helmholtz association. It develops, builds and operates giant particle accelerators used to examine the constitution of rely. DESY is housed in Hamburg and Zeuthen in Germany and is home to 3000 scientists from over 40 international locations a year.
ascertain extra: photo voltaic cell degradation observed at once for the first time
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NEW YORK -- Hortonworks forged a deal with IBM and Red Hat to produce the Open Hybrid Architecture Initiative. The goal of the Hortonworks alliance is to build a common architecture for big data workloads running both on the cloud and in on-premises data centers.
Central to the novel Hortonworks alliance initiative is the exhaust of Kubernetes-managed containers. Such container-based data schemes for the cloud increasingly issue to set the tone for big data architecture in future data centers within organizations.
Hortonworks' deal was discussed as allotment of the Strata Data Conference here, where computing heavyweight Dell EMC too disclosed an agreement with data container specialist BlueData Software to present users with a reference architecture that brings cloud-style containers on premises.Big data infrastructure shifts
Both deals witness changes are afoot in infrastructure for big data. Container-based data schemes for cloud environments are starting to pomp the course that data will breathe handled in the future within organizations.
The Hortonworks alliance hybrid initiative -- as well as Dell's and other reference architecture -- reflects changes spurred by the host of analytics engines now available to exploit data workloads and the growing spin of big data applications to the cloud, Gartner analyst Arun Chandrasekaran said in an interview.
"Historically, big data was about coupling compute and storage together. That worked pretty well when MapReduce was the sole engine. Now, there are multiple processing engines working on the same data lake," Chandrasekaran said. "That means, in many cases, customers are thinking about decoupling compute and storage."De-linking computing and storage
Essentially, modern cloud deployments sever those two elements, Chandrasekaran said. This approach is seeing greater interest in containerizing big data workloads for portability, he noted.
We are decoupling storage and compute again. Arun Murthychief product officer and co-founder, Hortonworks
The shifts in architecture toward container orchestration pomp people want to exhaust their infrastructure more efficiently, Chandrasekaran said.
The Hortonworks alliance with Red Hat and IBM shows a basic change is underway for the Hadoop-style open source distributed data processing framework. Cloud and on-premises architectural schemes are blending.
"We are decoupling storage and compute again," said Arun Murthy, chief product officer and co-founder of Hortonworks, based in Santa Clara, Calif. "As a result, the architecture will breathe consistent whether processing is on premises or on cloud or on different clouds."The elastic cloud
This style of architecture pays heed to elastic cloud methods that let users spin up big data clusters when needed for processing jobs and raise them offline when they aren't.This week's Strata Data Conference in novel York included a focus on Hortonworks' deal with IBM and Red Hat, an agreement between Dell EMC and BlueData, and more.
"In public cloud, you don't support the architecture up and running if you don't Have to," Murthy said in an interview.
That's compared with how Hadoop systems typically get deployed in the data center, where clusters are often configured and left in situation to sit ready for high-peak workloads.
For Lars Herrmann, general manager of the integrated solutions commerce unit at Red Hat, based in Raleigh, N.C., the Hortonworks alliance project is a step toward bringing in a big class of data applications to avoid natively on the OpenShift container platform. It's too about deploying applications more quickly.
"The understanding of containerization of applications allows organizations to breathe more agile. It is allotment of the trend they contemplate of people adopting DevOps methods," Herrmann said.Supercharging on-premises applications
For its part, Dell EMC sees spinning up data applications more quickly on premises as an primary allotment of the reference architecture it has created with abet from BlueData.
"With the container approach, you can deploy different software on exact to different infrastructure," Kevin Gray, director of product marketing at Dell EMC, said in an interview at the Strata conference.
The notion of multi-cloud support for containers is popular, and Hadoop management and deployment software providers are touching to support various clouds. At Strata, BlueData made its EPIC software available on Google Cloud Platform and Microsoft Azure. EPIC cloud support was already available on the AWS cloud.Big data evolves to singular architecture
Tangible benefits will accrue as big data architecture evolves IT shops to a more singular environment for data processing on the cloud and in the data center, said Mike Matchett, principal consultant and founder of IT industry advisory solid petite World big Data.
"Platforms exigency to breathe built such that they can exploit distributed drudgery and deal with distributed data. They will breathe the same on premises as on the cloud. And, in most cases, they will breathe hybridized, so the data and the processing can current back and forth," Matchett said in an interview at the conference.
Some special optimizations will still breathe required for performance reasons, Matchett added. And IT managers will Have to form decisions based on different workloads as to where particular analytics processing will breathe done, he said.
Red Hat RHT recently announced a collaboration with Hortonworks HDP and International commerce Machines IBM for Open Hybrid Architecture Initiative, which is aimed at bringing big data to hybrid cloud environments.
The initiative is aimed at managing big data workloads across multi-cloud, edge architectures and hybrid on-premises to abet customers raise care of their data and access analytical and decision-making applications.
With data increasing at a massive pace, enterprises require applications and security to abet them arrive at commerce decisions faster than ever. The collaboration will cater to this exigency and too provide customized tools that can breathe deployed on-premise with hybrid cloud environments.
Red Hat’s collaboration with Hortonworks and IBM will abet deploy big data analytical tools, machine learning, cloud management solutions and security on Red Hat OpenShift enterprise container and Kubernetes application platform.
Reportedly, Hortonworks will drudgery to certify its big data products Hortonworks Data Platform, Hortonworks DataFlow and Hortonworks DataPlane as “Red Hat Certified Containers on Red Hat OpenShift.”
Moreover, IBM is too working toward Red Hat OpenShift certification process for its private cloud platform.
Notably, IBM and Hortonworks will continue their collaboration made final June to provide enterprises with determination making power based on informative data output sets.
We believe this collaboration will abet Red Hat’s customers raise edge of the hybrid data architecture, which enables quick determination making.
Moreover, Red Hat’s partners Have played an primary role in helping the company deliver value and success to its customers.
Red Hat, Inc. Revenue (TTM)
Red Hat, Inc. Revenue (TTM) | Red Hat, Inc. Quote
Partnerships to Boost the Top Line
Red Hat’s expanding partner base with established IT players fancy Hewlett Packard Enterprise, IBM, Microsoft MSFT, Oracle, SAP SE, Cisco, Dell, Fujitsu Limited and many others is a positive.
Additionally, the company’s collaborations with cloud providers fancy Amazon, Google and Alibaba position it for deal wins on a continuous basis. This is expected drive deferred revenues. Notably, in the final reported quarter, total deferred revenues increased 19% year over year to $2.4 billion.However, Pivotal Container Service (PKS) formed through the partnership of Google, Pivotal and VMware is a significant threat in this regard. Moreover, Red Hat’s increasing investments on emerging technologies is expected to achieve pressure on margins.
Nevertheless, this Zacks Rank #3 (Hold) company is expected to benefit from its growing partnerships with big names and robust exact for OpenShift.
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Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to salvage this free report International commerce Machines Corporation (IBM) : Free Stock Analysis Report Hortonworks, Inc. (HDP) : Free Stock Analysis Report Microsoft Corporation (MSFT) : Free Stock Analysis Report Red Hat, Inc. (RHT) : Free Stock Analysis Report To read this article on Zacks.com click here. Zacks Investment Research
Hortonworks, IBM and Red Hat announced on Monday an Open Hybrid Architecture Initiative, a novel collaborative effort the companies can exhaust to build a common enterprise deployment model that is designed to enable big data workloads to avoid in a hybrid manner across on-premises, multi-cloud and edge architectures.
As the initial aspect of the initiative, the companies plot to drudgery together to optimize Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data for exhaust on RedHat OpenShift, an enterprise container and Kubernetes application platform. This allows users to develop and deploy containerized big data workloads, making it easier for customers to manage data applications across hybrid cloud deployments. In addition, IBM and Hortonworks will extend their joint drudgery to integrate key services offered through Hortonworks DataPlane with IBM Cloud Private for Data.
The initiative includes Hortonworks plans to certify Hortonworks Data Platform, Hortonworks DataFlow and Hortonworks DataPlane as Red Hat Certified Containers on Red Hat OpenShift and looks forward to achieving “Primed” designation.
In addition, Hortonworks will enhance HDP to adopt a cloud-native architecture for on-premises deployments by separating compute and storage and containerizing Gross Hortonworks Data Platform and Hortonworks DataFlow workloads. This allows customers to more easily adopt a hybrid architecture for big data applications and analytics, Gross with the common and trusted security features, data governance and operations that enterprises require.
IBM, which announced plans earlier this year to extend IBM Cloud Private platform and middleware to the OpenShift platform, has begun the Red Hat OpenShift certification process for IBM Cloud Private for Data, and has achieved “Primed” designation as the first phase.
The spin will abet provide the vast OpenShift community of developers and users – which comprehend IBM and Hortonworks clients – speedy access to robust analytics, data science, machine learning, data management and governance capabilities, fully supported across hybrid clouds.
Enterprises are undergoing massive commerce model transformations, powered by the faculty to process and analyze novel types and tremendous amounts of data. As a result, many are touching to hybrid cloud environments that leverage lightweight microservices in the most efficient manner possible.
Hortonworks and IBM previously announced a collaboration to abet businesses accelerate data-driven decision-making. Today’s advice builds upon that foundation with the intent to bring big data workloads to a modern and container-based foundation, enabling customers to deploy Hortonworks and IBM platforms into a hybrid cloud environment powered by Red Hat OpenShift.
“Kubernetes is the de facto container orchestration system and they Have been working in this ecosystem since the project’s infancy to abet form it ready for all, and especially the enterprise in Red Hat OpenShift. Today they are thrilled that Hortonworks and IBM Cloud Private’s data portfolio Have selected Red Hat OpenShift as the trusted Kubernetes platform for big data workloads,” said Ashesh Badani, vice president and general manager, Cloud Platforms, Red Hat. “By pile and managing their applications via containers and Kubernetes with OpenShift, customers and the big data ecosystem Have opportunities to bring this next generation of big data workloads to the hybrid cloud and deliver the benefits of an agile, efficient, reliable, multi-cloud infrastructure.”
“The drudgery that Red Hat, IBM and Hortonworks are doing to modernize enterprise big data workloads via containerization is aimed at helping customers to raise edge of the agility, economics and scale of a hybrid data architecture,” said Rob Bearden, chief executive officer of Hortonworks. “The innovations resulting from this collaboration can enable the seamless and trusted hybrid deployment model needed today by enterprises that are undergoing significant commerce model transformation.”
In addition to competitive and data challenges, organizations are too scrambling to bring applications once designed for public cloud behind the firewall for greater control, lower costs, greater security and easier management. In fact, in a recent IDC Cloud and AI Adoption Survey, more than 80 percent of respondents said they plot to spin or repatriate data and workloads from public cloud environments behind the firewall to hosted private clouds or on-premises locations over the next year, because the initial expectations of a sole public cloud provider were not realized.
“As these dynamics continue, they’ll drudgery to leisurely innovation and block companies’ progression to enterprise AI,” said Rob Thomas, general manager, IBM Analytics. “Scaling the ladder to AI demands robust data prep, analytics, data science and governance, Gross of which are easily scaled and streamlined in the benign of containerized, Kubernetes-orchestrated environments that we’re talking about today.”
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