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“The healthcare business is exploding with new information, and as we proceed to move towards advanced medical analytics, we understand this vogue is not slowing down,” states Bryan Fiekers, Senior Director of research at HIMSS Analytics, in a analyze that focus on modernizing healthcare technology.
This observation virtually sums up one of the most biggest challenges dealing with healthcare corporations today. And it also highlights one of the most powerful opportunities for people that are looking to be on the forefront of transforming biomedical analysis and advancing precision medication.
inside the actually exabytes of records flooding into scientific analysis and repair start organizations, at the moment lie insights that may store lives, lead to new discoveries, and radically change affected person care – for the agencies inclined to optimize the manner they leverage, analyze, and utilize their most helpful useful resource: facts.
here is the message that IBM methods will convey to the 2019 HIMSS Annual conference and Exhibition (HIMSS19) in Orlando, Florida, on February 11-15. behind this message exists a proven answer that supports one of the most biggest main precision medication initiatives around the globe – the IBM excessive-efficiency facts and AI (HPDA) reference architecture for healthcare– a foundation that may assist businesses leverage the alternatives inherent in their big new statistics units.
even if you're a health insurer that should supply high-quality functions to help people make superior decisions to keep their health; a school researcher publishing journal articles trying to win your subsequent circular of grant funding; a knowledge scientist in commercial R&D organization progressing talents medicine via scientific trials; or a physician in a clinic offering cures that will provide sufferers the ideal scientific outcomes – with HPDA you are going to adventure new statistics for speed and scale. in the twenty first century, healthcare stakeholders want a reputable, bendy, and cozy computing platform that meets their distinctive application necessities.
via our work with many foreign organizations and healthcare industry enterprise partners, IBM has viewed that corporations that adopted our HPDA reference architecture for genomics, imaging, EHR, deep researching and other big facts initiatives in biomedical research have executed constructive results and significant advantages.
At HIMSS19, IBM will characteristic a number of actual-world examples of HPDA architectures and accessories helping agencies seriously change their capabilities to benefit perception from large datasets.
as an instance, Aetna improves personalised care by means of presenting actual-time access to tips and exceptional services that support tens of millions of individuals make superior decisions to keep their fitness and control costs. The session at the IBM sales space #6459 at HIMSS19 will reveal how the inclusion of excessive-efficiency IBM storage and software-defined infrastructure better the normal efficiency and pace to start of the business data warehouse, enabling Aetna to investigate huge quantities of facts quicker, while addressing compliance and privateness-linked concerns – and chopping prices.
sales space friends will also learn the way Thomas Jefferson school is coupling big collections of distinct organic datasets with high-performance computing to pressure new advances in precision drugs. The Jefferson crew has generated evidence from processing massive amounts of statistics to exhibit that someone’s intercourse, race/ethnicity, and geographic origin have an effect on predisposition for disorder, how a disorder may growth, and the therapeutic alternate options that could be most crucial to pursue.
The IBM HPDA structure is constructed on IBM’s heritage of offering most desirable practices in excessive-efficiency computing (HPC). in fact, the fundamental HPDA framework was used to assemble Summit and Sierra – presently two of the world’s most powerful supercomputers designed for information and AI. The structure is designed to aid healthcare and life science groups comfortably scale compute and storage supplies as demand grows, and to support the wide selection of development frameworks and purposes required for trade innovation – all devoid of needless re-investments in technology.
Our reference structure for healthcare consists of key infrastructure add-ons from IBM’s high-efficiency compute and storage portfolio, and it helps an expanding ecosystem of main industry partners. The IBM HPDA architecture is in keeping 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 totally flexible, scalable, and in your price range platform for accessing, managing, storing, sharing, integrating, and analyzing huge information within the constraints of constrained IT budgets. IT businesses can use the reference structure as a excessive-degree e-book for overcoming information management challenges and processing bottlenecks frequently encountered in personalized healthcare initiatives and different compute- and statistics-intensive biomedical workloads.
Introducing the new capabilities of the IBM HPDA structure and providing client success reviews aren’t the handiest highlights IBM techniques will feature at HIMSS19. we will also host a breakfast briefing panel dialogue protecting the crucial position that an HPDA architecture can play in assisting healthcare corporations clear up one of the largest research and analytics challenges they face. during this panel, Aetna, representatives from Louisiana State tuition, and Froedtert health will share how they are accelerating discoveries and enhancing personalised care through the use of flexible, scalable, secure, and low cost excessive-performance programs that can leverage the cloud to be certain the highest ranges of data availability, reliability, and compliance.
Come meet our IBM techniques HPDA trade consultants for a demo on the IBM booth #6459. And before you go, get a glimpse of our full sessions time table in this weblog – Making precision medication a reality.
these days IBM announced an formidable plan to create a worldwide analysis hub to advance next-era AI hardware and extend their joint research efforts in nanotechnology. As a part of a $3 billion dedication, the IBM research AI Hardware middle could be the nucleus of a new ecosystem of analysis and commercial partners participating with IBM researchers to additional accelerate the development of AI-optimized hardware improvements.
IBM headquarters for the AI Hardware center should be on the SUNY Polytechnic campus in Albany, big apple, and the core will boost various applied sciences from chip-level gadgets, materials and architecture to the application aiding AI workloads. These efforts will push the limits of chip know-how crucial to satisfy the emerging demands of cloud computing, big facts, and cognitive computing systems.
The groundbreaking work that these engineers will conduct at SUNY Polytechnic Institute displays IBM’s long-time period dedication to inventing the way forward for microelectronics,” noted Dr. John Kelly, Senior vice chairman, solutions Portfolio and analysis at IBM. “The IBMers working at SUNY Poly possess interesting advantage and capabilities, positioning our company to pressure development of the next era of chips and to gas a brand new period of computing.”
The $three billion investment that IBM introduced in July 2014 makes a speciality of the construction of primary materials science to make it possible to decrease semiconductors to 7 nanometers and past, in addition to help analysis into absolutely new areas beyond common silicon architectures, similar to synaptic computing, quantum instruments, carbon nanotubes, and photonics, that may radically change computing of all types.
Partnerships inside an open ecosystem are key to advancing hardware and application innovation which are the groundwork of AI. New IBM analysis AI Hardware core partnerships introduced these days will assist in these carrying on with efforts. Samsung is a strategic IBM partner in each manufacturing and research. Mellanox applied sciences is a number one company of excessive-efficiency, conclusion-to-conclusion smart interconnect options that accelerate most of the world’s leading AI and desktop getting to know systems. Synopsys is the leader in application platforms, emulation and prototyping solutions, and IP for developing the excessive-performance silicon chips and secure utility functions which are driving developments in AI.
IBM and SUNY Poly have built a extremely successful, globally recognized partnership on the multi-billion dollar Albany NanoTech complicated, highlighted by way of the institution’s middle for Semiconductor analysis (CSR), a $500 million application that also contains the realm’s main nanoelectronics companies. The CSR is an extended-term, multi-section, joint R&D cooperative program on future laptop chip technology. IBM was a founding member of Governor Andrew M. Cuomo’s international 450 Consortium. It continues to deliver pupil scholarships and fellowships on the university to help prepare the next generation of nanotechnology scientists, researchers and engineers.
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February four, 2019 Alex Woodie
there's a huge facts analytics revolution taking area that threatens to separate the AI haves from the have-nots. businesses that run the IBM i server wish to get in on the analytics action identical to every person else, but AI discussions commonly stray faraway from IBM i. Now Fresche options is working to shut that disconnect with a sequence of educational courses situated squarely on the intersection of IBM i and Watson.
ultimate 12 months, Fresche solutions worked with IBM remaining yr to place together a collection of onsite practicing seminars geared toward giving IBM i experts the tutorial tools they need to put in force Watson of their agencies. The onsite courses had been so a success that Fresche decided to parlay that content material right into a collection of on-line lessons that IBM i professionals can entry at their enjoyment through their net browser.
Fresche produced a total of six classes that are divided into two lessons, which can also be bought one at a time or as a part of a bundle. All classes combine a mix of lectures and demos, and are accessed remotely via Fresche’s working towards site at training.freschesolutions.com.
The instructor for the lessons is Mike Pavlak, the Fresche IT strategist and IBM Champion. according to Pavlak, the primary direction, which is titled “Connecting IBM i applications to Watson,” is geared toward application builders, whereas the 2nd route, titled “Connecting IBM i information to Watson,” is geared towards records engineers and facts scientists.
the first path starts with a simple introduction to Watson, earlier than moving into more superior issues within the second section, corresponding to the use of cleaning soap and relaxation APIs to connect IBM i applications to Watson. within the third section, attendees get in-depth guide on the way to use open source analytics applications, comparable to Python, with Watson and their IBM i purposes.
The second path starts with the basics of growing database connections between IBM i and Watson, as well as accessing audit journals and the use of Watson to research social media. The 2nd phase gives builders extra superior instructions on one of the vital underlying HTTP and JSON recommendations. The third section guides attendees during the technique of constructing a real-world utility that comprises facts marts, ETL, and Watson’s desktop studying tech.
The name “IBM Watson” can also conjure up all kinds of ideas in individuals’s minds, however’s in reality no longer all that complex, according to Pavlak. “Watson is very nearly an internet carrier,” he says. “It’s application as a service. That’s it. That’s all it's.”
The carrier can do a number of issues, from basic pattern focus and facial awareness to “full on records analytics,” Pavlak continues. “but it’s merely a provider-oriented providing — which means, if you wish to use Watson, you’re going to should push your facts and ask it questions and then get a response lower back and parse that as you see fit.”
The classes are good for anyone who desires greater assistance on how Watson applied sciences can combine with IBM i functions. but Pavlak wants to be sure that the expertise is applicable to other applied sciences, and is valuable in other contexts, too.
“We’re going to via not simply RPG basics in the classification, however also the right way to leverage Watson from open source tech, and some of these more moderen technologies like Python, php, and so forth,” he says. “There’s loads of Python that makes up the desktop studying and deep studying house. Watson itself has Python accessories.”
“What I’m more involved is how i will be able to leverage Python from my IBM i to leverage Watson. Or how am i able to use RPG or Hypertext Preprocessor. What I want to make sure customers have the knowing that they’re no longer tied into a selected expertise, they’re now not locked into ‘Oh my gosh, i can simplest use RPG for this or Python for that.’ you've got flexibility and alternatives obtainable.”
In constructing the curriculum, Fresche labored extensively with the IBM Cognitive team, in addition to with IBM leaders from the Rochester lab, together with DB2 for i company architect Scott Forstie and Jesse Gorzinski, IBM i open supply company architect. “They had been instrumental in helping us,” says Fresche solutions senior director of advertising Christine McDowell.
The on-line classes have been purchasable considering early October, and Fresche is now ramping up the consciousness crusade to generate demand. “We’re in reality enthusiastic about this,” McDowell says. “this is every little thing you need to find out about Watson.”
Alison Butterill, product providing supervisor for IBM i, says she’s extraordinarily joyful to see the path go online. “We’re working intently with Fresche and together we’re leveraging their global attain and huge partner community to ensure that each person knows how easy it's to make use of Watson on IBM i,” Butterill says.
Fresche, which bought BCD utility, looksoftware, Databorough, and different sought after IBM i providers, is primarily concentrated on selling utility used for software modernization. When Fresche engages customers in a modernization initiative, they commonly delivery with a discovery section, which naturally leads to strategy and product roadmap phases down the line.
“loads of instances the dialog will turn to records analytics,” McDowell says. “Our hobby is absolutely is making bound that we’re neatly-versed in what purchasers can do with AI, and making certain that flows through in order that they can make choices for the long run.”
offering training for IBM Watson is a herbal evolution for Fresche, says Andy Kulakowski, the president and chief government officer of the Montreal, Quebec-based mostly enterprise.
“We provide strategic IT counsel for digital transformation enablement and utility modernization solutions to help IBM i customers leverage their IT assets,” Kulakowski says. “Our shoppers take potential of up to date applied sciences including AI, cloud, web and cellular as equipment for achievement. We’re excited to bring working towards that will aid IBM i clients increase productivity and provide sustainable growth for the future.”
each and every analytics engagement is pleasing to a selected company’s mannequin and its strategy. but early big statistics analytics and AI patterns have emerged, and practitioners are seeing average subject matters, reminiscent of analyzing social media content material, developing more desirable customer personalization, and optimizing provide chain choices. These are all areas which are ripe for disruption through AI.
“As companies appear to modernize, they’re taking a look at operational efficiencies, they’re taking a look at offering on more business price, they’re aggressive threats,” McDowell says. “They’re the place they want to be in five years. expertise is an incredible part of that. It’s a huge driver. And examining what analytics can do for them is a large part of what we’re coping with.”
Fresche’s two lessons are available for $450 each and every, or a bundle with each will also be purchased for $799. For more counsel, see training.freschesolutions.com.related reports
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Red Hat RHT recently announced a collaboration with Hortonworks HDP and International Business 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 help customers take care of their data and access analytical and decision-making applications.
With data increasing at a massive pace, enterprises require applications and security to help them arrive at business decisions faster than ever. The collaboration will cater to this need and also provide customized tools that can be deployed on-premise with hybrid cloud environments.
Red Hat’s collaboration with Hortonworks and IBM will help 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 work 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 also working toward Red Hat OpenShift certification process for its private cloud platform.
Notably, IBM and Hortonworks will continue their collaboration made last June to provide enterprises with decision making power based on informative data output sets.
We believe this collaboration will help Red Hat’s customers take advantage of the hybrid data architecture, which enables quick decision making.
Moreover, Red Hat’s partners have played an important 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 like 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 like Amazon, Google and Alibaba position it for deal wins on a continuous basis. This is expected drive deferred revenues. Notably, in the last 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 put pressure on margins.
Nevertheless, this Zacks Rank #3 (Hold) company is expected to benefit from its growing partnerships with big names and robust demand for OpenShift.
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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 new Hortonworks alliance initiative is the use of Kubernetes-managed containers. Such container-based data schemes for the cloud increasingly appear to set the tone for big data architecture in future data centers within organizations.
Hortonworks' deal was discussed as part of the Strata Data Conference here, where computing heavyweight Dell EMC also 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 indicate changes are afoot in infrastructure for big data. Container-based data schemes for cloud environments are starting to show the way that data will be 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 multitude of analytics engines now available to handle data workloads and the growing move 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 separate 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 show people want to use 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 be 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 take them offline when they aren't.This week's Strata Data Conference in New 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 keep 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 place to sit ready for high-peak workloads.
For Lars Herrmann, general manager of the integrated solutions business unit at Red Hat, based in Raleigh, N.C., the Hortonworks alliance project is a step toward bringing in a large class of data applications to run natively on the OpenShift container platform. It's also about deploying applications more quickly.
"The idea of containerization of applications allows organizations to be more agile. It is part of the trend we see 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 important part of the reference architecture it has created with help from BlueData.
"With the container approach, you can deploy different software on demand 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 moving 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 firm Small World Big Data.
"Platforms need to be built such that they can handle distributed work and deal with distributed data. They will be the same on premises as on the cloud. And, in most cases, they will be hybridized, so the data and the processing can flow back and forth," Matchett said in an interview at the conference.
Some special optimizations will still be required for performance reasons, Matchett added. And IT managers will have to make decisions based on different workloads as to where particular analytics processing will be done, he said.
Hortonworks, IBM and Red Hat announced on Monday an Open Hybrid Architecture Initiative, a new collaborative effort the companies can use to build a common enterprise deployment model that is designed to enable big data workloads to run in a hybrid manner across on-premises, multi-cloud and edge architectures.
As the initial phase of the initiative, the companies plan to work together to optimize Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data for use 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 work 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 all Hortonworks Data Platform and Hortonworks DataFlow workloads. This allows customers to more easily adopt a hybrid architecture for big data applications and analytics, all 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 move will help provide the vast OpenShift community of developers and users – which include IBM and Hortonworks clients – fast access to robust analytics, data science, machine learning, data management and governance capabilities, fully supported across hybrid clouds.
Enterprises are undergoing massive business model transformations, powered by the ability to process and analyze new types and tremendous amounts of data. As a result, many are moving to hybrid cloud environments that leverage lightweight microservices in the most efficient manner possible.
Hortonworks and IBM previously announced a collaboration to help businesses accelerate data-driven decision-making. Today’s news 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 we have been working in this ecosystem since the project’s infancy to help make it ready for all, and especially the enterprise in Red Hat OpenShift. Today we 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 building 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 work that Red Hat, IBM and Hortonworks are doing to modernize enterprise big data workloads via containerization is aimed at helping customers to take advantage 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 business model transformation.”
In addition to competitive and data challenges, organizations are also 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 plan to move 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 single public cloud provider were not realized.
“As these dynamics continue, they’ll work to slow innovation and hinder 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, all of which are easily scaled and streamlined in the kind of containerized, Kubernetes-orchestrated environments that we’re talking about today.”
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