IBM to retire Emptoris and work with SAP Ariba on next generation digital procurement

Duncan Jones

SAP Ariba & IBM today announced a partnership that had been a rumour for a few days now. Part of the deal includes IBM gradually retiring Emptoris and encouraging its customers to migrate to SAP Ariba.

http://www.ariba.com/about/press-releases/sap-ariba-and-ibm-transform-procurement

It’s an ambitious move by SAP Ariba. IBM Emptoris’s leadership had an exciting vision of next gen digital procurement but decided they couldn’t deliver it without a cost prohibitive replatforming of its various products. SAP Ariba has a good suite of products and a captive market, but now its leaders have shown that they also have a vision for digital procurement. The partnership makes sense for both companies.

·         IBM can now convert its digital procurement vision into revenue streams. By linking up with SAP Ariba it will be able to create a royalty stream for IBM Watson and implementation work for IBM GBS. Gracefully retiring Emptoris is a pragmatic decision and avoids wasting money trying to shore up a revenue stream that was doomed to decline anyway.

·         SAP Ariba will benefit from IBM’s vision, technology, and influence. It will get some new ideas about the opportunities for digital procurement. IBM GBS’s procurement transformation practice will become a source of leads for SAP Ariba. IBM’s own procurement department may be a proving ground for its innovation, (assuming that it eventually migrates from Emptoris to the Watson-enhanced SAP Ariba platform).

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AI's Emerging Role In IoT Highlighted At IBM Genius Of Things Event

Dan Bieler

Photo: Bergman Group

IBM hosted an artificial intelligent (AI) event at its Munich Watson IoT HQ, where it underlined its claim as a leading global AI and internet-of-things (IoT) platform providers in the enterprise context. AI and the IoT are both very important topics for enterprise users. However, there remains some uncertainty among enterprises regarding the exact benefits that both AI and IoT can generate and how businesses should prepare for the deployment of AI and IoT in their organizations.

One year into the launch of its Munich-based Watson IoT headquarters, IBM invited about one thousand customers to share an update of its AI and IoT activities to date. The IBM “Genius of Things” Summit presented interesting insights for both AI and IoT deployments. It underlined that IBM is clearly one of the leading global AI and IoT platform providers in the enterprise context. Some of the most important insights for me were that:

  • AI solutions require a partner ecosystem. IBM is well aware of the fact that it cannot provide IoT services on its own. For this reason, IBM is tapping into its existing partner ecosystem. Those partners are not only other vendors. IBM’s ecosystem partnership approach embraces also customers such as Schäffler, Airbus, Vaillant, or Tesco. The event demonstrated how far IBM has matured in living and breathing customer partnerships in the IoT solutions space. For instance, IBM’s cooperation with Visa regarding secure payment experiences for any device connected to the IoT is an example of a new quality of ecosystem partnership.
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Linux vs Unix Hot Patching – Have We Reached The Tipping Point?

Richard Fichera

The Background – Linux as a Fast Follower and the Need for Hot Patching

No doubt about it, Linux has made impressive strides in the last 15 years, gaining many features previously associated with high-end proprietary Unix as it made the transition from small system plaything to core enterprise processing resource and the engine of the extended web as we know it. Along the way it gained reliable and highly scalable schedulers, a multiplicity of efficient and scalable file systems, advanced RAS features, its own embedded virtualization and efficient thread support.

As Linux grew, so did supporting hardware, particularly the capabilities of the ubiquitous x86 CPU upon which the vast majority of Linux runs today. But the debate has always been about how close Linux could get to "the real OS", the core proprietary Unix variants that for two decades defined the limits of non-mainframe scalability and reliability. But "the times they are a changing", and the new narrative may be "when will Unix catch up to Linux on critical RAS features like hot patching".

Hot patching, the ability to apply updates to the OS kernel while it is running, is a long sought-after but elusive feature of a production OS. Long sought after because both developers and operations teams recognize that bringing down an OS instance that is doing critical high-volume work is at best disruptive and worst a logistical nightmare, and elusive because it is incredibly difficult. There have been several failed attempts, and several implementations that "almost worked" but were so fraught with exceptions that they were not really useful in production.[i]

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Enrich Customer Insights With Unstructured Data

Boris Evelson

Over the past several years, Forrester's research has written extensively about the age of the customer. Forrester believes that only the enterprises that are obsessed with winning, serving, and retaining customers will thrive in this highly competitive, customer-centric economy. But in order to get a full view of customer behavior, sentiment, emotion, and intentions, Information Management professionals must help enterprises leverage all the data at their disposal, not just structured, but also unstructured. Alas, that's still an elusive goal, as most enterprises leverage only 40% of structured data and 31% of unstructured data for business and customer insights and decision-making.

So what do you need to do to start enriching your customer insights with unstructured data ? First, get your yext analysis terminology straight. For Information Management pros, the process of text mining and text analytics should not be a black box, where unstructured text goes in and structured information comes out. But today, there is a lot of market confusion on the terminology and process of text analytics. The market, both vendors and users, often uses the terms text mining and text analytics interchangeably; Forrester makes a distinction and recommends that Information Management pros working on text mining/text analytics initiatives adopt the following terminology:

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IBM Opens Its Global Watson IoT Headquarters In Munich

Dan Bieler

IBM opened its global Watson Internet of Things (IoT) headquarters in Munich this week. It is hardly unusual for this quintessential global business to open research centers on a global scale. But the decision to move the HQ for one of the most dynamic areas of the digital transformation arena to Munich is noteworthy for several reasons. The move underlines that:

  • IoT has a very strong B2B component. Yes, IoT will play a role in consumer segments such as the connected home. But connectivity limitations and costs, compliance, and security will put many IoT ambitions in the consumer space to rest. The real action will be in the B2B space, where IoT will be elemental to drive activities like predictive maintenance, fleet management, traffic management, supply chain management, and order processing. Forrester expects the market size for B2B eCommerce, of which IoT is a subset, to be about twice that of B2C by 2020.
  • IoT and big data are closely intertwined. The real value of IoT solutions will not come from the hardware components of connected assets but from the data they generate and consume. In order to manage and make sense of the data that connected assets generate, cognitive systems and machine learning will play a fundamental role for the evolution of IoT. “Employing” Watson in the IoT context elevates IBM’s role in the IoT market significantly.
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Architect Your Predictive Analytics Capability To Unleash The Power Of Digital Business

Charlie Dai

Predictive analytics has become the key to helping businesses — especially those in the highly dynamic Chinese market — create differentiated, individualized customer experiences and make better decisions. Enterprise architecture professionals must take a customer-oriented approach to developing their predictive analytics strategy and architecture.

I’ve recently published two reports focusing on how to architect predictive analytics capability. These reports analyze the trends around predictive analytics adoption in China and discuss four key areas that EA pros must focus on to accelerate digital transformation. They also show EA pros how to unleash the power of digital business by analyzing the predictive analytics practices of visionary Chinese firms. Some of the key takeaways:

  • Predictive analytics must cover the full customer life cycle and leverage business insights. Organizations require predictable insights into customer behaviors and business operations. Youmust implement predictive analytics solutions and deliver value to customers throughout their life cycle to differentiate your customer experience and sustain business growth.You should also realize the importance of business stakeholders and define effective mechanisms for translating their business knowledge into predictive algorithm inputs to optimize predictive models faster and generate deeper customer insights.
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HPE Transforms Infrastructure Management with Synergy Composable Infrastructure Announcement

Richard Fichera

Background

I’ve written and commented in the past about the inevitability of a new class of infrastructure called “composable”, i.e. integrated server, storage and network infrastructure that allowed its users to “compose”, that is to say configure, a physical server out of a collection of pooled server nodes, storage devices and shared network connections.[i]

The early exemplars of this class were pioneering efforts from Egenera and  blade systems from Cisco, HP, IBM and others, which allowed some level of abstraction (a necessary precursor to composablity) of server UIDs including network addresses and storage bindings, and introduced the notion of templates for server configuration. More recently the Dell FX and the Cisco UCS M-Series servers introduced the notion of composing of servers from pools of resources within the bounds of a single chassis.[ii] While innovative, they were early efforts, and lacked a number of software and hardware features that were required for deployment against a wide spectrum of enterprise workloads.

What’s New?

This morning, HPE put a major marker down in the realm of composable infrastructure with the announcement of Synergy, its new composable infrastructure system. HPE Synergy represents a major step-function in capabilities for core enterprise infrastructure as it delivers cloud-like semantics to core physical infrastructure. Among its key capabilities:

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Oracle Delivers “Software on Silicon” – Doubles Down on Optimizing its Own Software with Latest Hardware

Richard Fichera

What’s new?

Looking at Oracle’s latest iteration of its SPARC processor technology, the new M7 CPU, it is at first blush an excellent implementation of SPARC, with 32 cores with 8 threads each implemented in an aggressive 20 nm process and promising a well-deserved performance bump for legacy SPARC/Solaris users. But the impact of the M7 goes beyond simple comparisons to previous generations of SPARC and competing products such as Intel’s Xeon E7 and IBM POWER 8. The M7 is Oracle’s first tangible delivery of its “Software on Silicon” promise, with significant acceleration of key software operations enabled in the M7 hardware.[i]

Oracle took aim at selected performance bottlenecks and security exposures, some specific to Oracle software, and some generic in nature but of great importance. Among the major enhancements in the M7 are:[ii]

  • Cryptography – While many CPUs now include some form of acceleration for cryptography, Oracle claims the M7 includes a wider variety and deeper support, resulting in almost indistinguishable performance across a range of benchmarks with SSL and other cryptographic protocols enabled. Oracle claims that the M7 is the first CPU architecture that does not present users with the choice of secure or fast, but allows both simultaneously.
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Sea Changes in the Industry – A New HP and a New Dell Face Off

Richard Fichera

The acquisition of EMC by Dell has is generating an immense amount of hype and prose, much of it looking forward at how the merged entity will try and compete in cloud, integrate and rationalize its new product line, and how Dell will pay for it (see Forrester report “Quick Take: Dell Buys EMC, Creating a New Legacy Vendor”). Interestingly not a lot has been written about the changes in the fundamental competitive faceoff between Dell and HP, both newly transformed by divestiture and by acquisition.

Yesterday the competition was straightforward and relatively easy to characterize. HP is the dominant enterprise server vendor, Dell a strong challenger, both with PCs and both with some storage IP that was good but in no sense dominant. Both have competent data center practices and embryonic cloud strategies which were still works in process. Post transformation we have a totally different picture with two very transformed companies:

  • A slimmer HP. HP is smaller (although $50B is not in any sense a small company), and bereft of its historical profit engine, the margins on its printer supplies. Free to focus on its core mandate of enterprise systems, software and services, HP Enterprise is positioning itself as a giant startup, focused and agile. Color me slightly skeptical but willing to believe that it can’t be any less agile than its precursor at twice the size. Certainly along with the margin contribution they lose the option to fight about budget allocations between enterprise and print/PC priorities.
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IBM Pushes Chip Technology with Stunning 7 nm Chip Demonstration

Richard Fichera

In the world of CMOS semiconductor process, the fundamental heartbeat that drives the continuing evolution of all the devices and computers we use and governs at a fundamantal level hte services we can layer on top of them is the continual shrinkage of the transistors we build upon, and we are used to the regular cadence of miniaturization, generally led by Intel, as we progress from one generation to the next. 32nm logic is so old-fashioned, 22nm parts are in volume production across the entire CPU spectrum, 14 nm parts have started to appear, and the rumor mill is active with reports of initial shipments of 10 nm parts in mid-2016. But there is a collective nervousness about the transition to 7 nm, the next step in the industry process roadmap, with industry leader Intel commenting at the recent 2015 International Solid State Circuit conference that it may have to move away from conventional silicon materials for the transition to 7 nm parts, and that there were many obstacles to mass production beyond the 10 nm threshold.

But there are other players in the game, and some of them are anxious to demonstrate that Intel may not have the commanding lead that many observers assume they have. In a surprise move that hints at the future of some of its own products and that will certainly galvanize both partners and competitors, IBM, discounted by many as a spent force in the semiconductor world with its recent divestiture of its manufacturing business, has just made a real jaw-dropper of an announcement – the existence of working 7nm semiconductors.

What was announced?

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