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CEN Member Chat: Blockchain Revealed

CEN Member Chat: Blockchain Revealed

Constellation Research VP & Principal Analyst, Steve Wilson, clarifies the myths and truths about blockchain and highlights key industries that can benefit. If you are not a Constellation Executive Network member yet, join our analysts in this private community to talk shop and solve business problems in real time. 

Digital Safety, Privacy & Cybersecurity On <iframe src="https://player.vimeo.com/video/206177847?badge=0&autopause=0&player_id=0" width="998" height="720" frameborder="0" title="CEN Member Chat Blockchain Revealed SWilson Mar 2017" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

A new global player emerges in Continuous Authentication

A new global player emerges in Continuous Authentication

Persistent Systems - an Indian e-business product engineering firm, serving global customers in digital business transformation, banking and healthcare - today announced a breakthrough deal with the USAA group of American financial services companies to access and productize USAA’s patent portfolio in secure authentication. The immediate outcomes of the agreement will be diverse new Risk Based Authentication (RBA) methods available across multiple channels and multiple devices. 

This development crystalises USAA’s strong commitment to the FIDO Alliance www.fidoalliance.com and leverages Persistent’s long relationship with Nok Nok Labs and other authentication specialists.

USAA’s market mainly comprises military personnel in need of banking, insurance, investments and retirement fund.  This is generally a highly mobile customer base, and certain online expectations are particularly hard to meet.  Help desk and password resets are especially challenging when defence personnel are in the field; network connectivity can’t be taken for granted, and classical “Knowledge Based Authentication” (KBA) breaks down when you are far from home and can’t access paperwork.  Some six years ago, USAA started a search for end user identity management components to deploy to its people, but were not satisfied by anything on the market.  So the company decided they had to build their own capability, and from the ground up, they researched and developed a dynamic risk based authentication platform.  This technology will now be available to Persistent’s global user population.

We will likely see Persistent emerge as a new and powerful player in the ever-evolving Identity Management marketplace, with innovative authentication options appearing as standard in Persistent’s wide range of original branded and OEMed e-business solutions.

USAA has amassed a major patent portfolio and now desires that its IP become available across the financial services sector, to its competitors, and far beyond.  USAA CSO Gary McAlum explains “we are stronger together than we are apart”.

In my view this is a ringing endorsement that security is like public health – it’s in the interests of everyone to be safe.  Really no company should compete on the basis of safety (or hygiene) for that it not the sort of world we want to live in.

Going forward, Persistent’s work in Risk Based Authentication (RBA) is guided by Five Principles:

  1. Customer access should be simple and secure, regardless of the channel they choose.
  2. Better knowledge of individuals will reduce authentication overhead when recognising customers.
  3. Authentication should adapt dynamically according to risks quantified from the customer’s context, history and behaviour.
  4. Modular ongoing risk assessments allow organisations to adjust authentication as real world environments continue to shift.
  5. Authentication technologies must be pluggable and configurable in the infrastructure, to best mitigate new threats as they unflold.

From what I’ve seen, the early fruits of Persistent’s deal with USAA will include password-less logon for multiple devices and network environments, and new continuous authentication capabilities.  From truly mobile apps through to the Internet of Things, continuous authentication will be one of the most crucial security capabilities.  

These sorts of authentication tools bring privacy benefits too. Most obviously they help cut the extraneous flow and retention of personal information entailed by KBA. More fundamentally, systems which deal in low level authentication signals help designers break the identification act down into minimal information exchanges. The focus shifts from a default interest in who someone is, to a more precise inquiry about what they are (in terms of less personally revealing attributes). 

Increasingly, devices and applications will constantly monitor what their users are doing and where they are doing it, the state of their hardware and even their surroundings, to enable automated risk-based decisions about what it is safe for them do next.  USAA’s solutions integrate different signals about how users access services, the history of access, geolocation, multi-modal biometrics, and diverse second factor mechanisms.  The focus is on the types of signals that cannot be stolen or easily spoofed (after all, in the push to get rid of passwords, we must not open up new and even more subtle vulnerabilities to identity takeover).  A key element of USAA’s IP is new scoring algorithms for weighting combinations of signals, to quantify the true state of the user, in context, in real time.

We are witnessing the slow but steady embedding of intelligent authentication into applications and personal devices.  The need for human intervention (be it by the user themselves or their supporters) will keep falling, as new digital technologies deliver the right services to the right people at the right time in the right place. 

Digital Safety, Privacy & Cybersecurity New C-Suite Next-Generation Customer Experience Tech Optimization Future of Work FIDO Infosec Security Zero Trust Chief Customer Officer Chief Information Officer Chief Supply Chain Officer Chief Digital Officer Chief Information Security Officer Chief Privacy Officer

Are Robots Coming For Your Job? Adobe Think Tank 2017 - The Future of Work

Are Robots Coming For Your Job? Adobe Think Tank 2017 - The Future of Work

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On Feb 9, 2017 Adobe Document Cloud hosted their 2nd annual Future of Work Think Tank. I was honoured to be the moderator for this hour long discussion, with an amazing group of participants:

  • Mayor Sam Liccardo of San José, CA
  • Dr. Frankie James, Managing Director - GM Advanced Technology Silicon Valley Office
  • Brian David Johnson, Futurist in Residence at Arizona State University - Center for Science and Imagination
  • Kate Kendall, Founder & CEO - CloudPeeps
  • Jeff Vijungco, VP of Global Talent, Technology and Insights - Adobe

Some of the topics we discussed were: What motivates people to work?  Where do they work? Who do they work with? Are robots coming for our jobs?

My friends at Acrossio have kindly annotated the video of the event, making it easy for you to see what was discussed.  

If the embedded video does not work, you can view the standard Youtube playback here.

I'd love to hear your thoughts on what the Future of Work may look like.

 


 

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IoT – Understanding market revenue reporting to identify the real Business market that is emerging

IoT – Understanding market revenue reporting to identify the real Business market that is emerging

It seems to have become fashionable in some circles to suggest that IoT market is failing. Certainly if you were one of those people who just two years ago was predicting amazing numbers then, yes, IoT has failed to achieve those over ambitious levels. Business Market valuable solutions were never likely to match predictions that included numbers of household objects such as Toothbrushes. This blog aims to be a reality check by taking different reports each using different criteria to define IoT deployments.

To start, Forbes contributor Louis Columbus provided an excellent round up of the latest IoT market statistics and predictions in a Forbes online article published in November 2016. Entitle Roundup Of Internet Of Things Forecasts And Market Estimates, 2016, the article included, amongst other statistics, McKinsey estimating the 2015 shipped market for specialized IoT devices, i.e. sensor, gateways and dataflow management, to have been $900million. The article concluded by drawing attention to a new generation of ‘operational’ improvements using data originating from sensing, ending before ending with the statement;

It’s these sensor-driven strategies that drive the most reliable IoT and IIoT forecasts and predict the future of this industry.   This statement by Louis Columbus, who publishes constantly thoughtful work on Business and Technology, clearly identifies where the first generation impact of IoT on business is being felt.

However if we measure the ‘success’ rate of IoT adoption solely in terms of sensors deployed, devices connected, terabytes of data moving, or any technology factors, then we miss the scale of the overall impact. The value of IoT technology lies in the value/scale/expenditure of Business solutions that it enables, and these are an integration of Clouds, and Apps, and new forms of Data Analytics.

Digital Economy Business solutions use all these technologies, and are even starting to add AI to the integration. Tracking the value of the IoT market as part of the Digital Business technology is a more accurate way to understand the Business value IoT is enabling/delivering. For though each technology is incorporated IoT is the crucial interconnection/interaction enabler of the whole. The relative success, even importance, of IoT to the technology market looks very different when viewed for its role in Digital Business solutions, rather than as a standalone technology.

This may explain the huge difference in the value of the ‘IoT market’ as reported in Business Cloud Review stating that Technology Business Research (TBR) has found IoT’s revenues grew 14.8% to $6.7 billion over the course of Q4. The article carries on to point out that; IoT solutions will drive increased use of diverse IT and OT products and services in addition to building interest in established IT products, commercial IoT will create growth in specialized business consulting, hardware, network, development, management and security components.

However there is still a further Business valuable technology to come, and once again IoT plays a major part in enabling its Business deployment. The hype wave is now firmly focused on Artificial Intelligence, AI, as the new creator of business competitive advantage. AI is a complex technology with many definitions, but none of them allow AI to function as a standalone technology. Conceptually AI is not new, but its recent transformation to becoming a usable commercial business tool relies on integration with the same group of technologies; IoT to transform the physical analogue environment into Digital representation for AI to process; Clouds to provide low cost abundant processing power on demand; and Apps that have changed Software development and deployment.

Enterprises don’t need to wait for AI to gain the benefits of better, and more timely data flows to improve their operational efficiency. At this stage of market maturity it is in Operational Technology, OT, rather the Information Technology, IT, where business benefit is most readily found. Benefits in OT have always been more closely linked to near real time ‘read and respond’ to Physical events via Industrial Automation. The role of IT has been to automate Office Automation, the recording of the commercial ‘paperwork’ transactions, required for compliance and to power Business Intelligence, BI, historical reporting.

OT, with its alignment to Industrial Automation, has long been associated with the use of sensors and sensing technology. IoT has updated and increased the capabilities as well as lowering costs, which added to the existing skills in deploying with business justification has led to the rapid take-up of IoT.

Fortune Magazine reported on this shift quoting Barclays Bank research stating that expenditure on ‘Business Technology’ is expected to rise 6.7% to $2.1 trillion by 2017 compared with last year. The same article went on to state that it's music to the ears of some technology companies, but not all of them as it introduced the shift away from many traditional IT related technology products.

Whilst there is no agreed name yet, the term ‘Business Technology’ works well to define Enterprises that apply technologies in a coherent manner across traditional boundaries. Digital Enterprise business models in Manufacturing are successfully blending new capabilities for increased operational efficiencies in OT, with the Enterprise commercial management of IT. Claims of up to a quarter of all IoT deployments being related to manufacturing industry fuel the statement by Klaus Schwab Founder of the World Economic Forum that IoT is driving the Fourth Industrial Age.

Does this answer the question as to what is driving the IoT market, and its (strategic?) importance as a key technology to enable the next generation of Digital Business? The advent of Business Technology demonstrates why many IT led IoT deployments are ‘add-ons’ to existing IT solutions, and cannot recognize the strategic capability. In contrast Industry Sectors where OT is strong are able to more easily grasp the value, and the ongoing potential.

This realignment of technology’s role across the Enterprise calls for a complex management initiative to form a partnership between their experts in Operational Technology and those of Information Technology. At the same time the Enterprise must execute on their strategy to develop a new business model to complete in the Digital Business economy. Leading Technology Systems Integrator Wipro has coined the term ‘Strategic Integrator’ to define the complex skills and relationship required.

Before examining the Wipro answer on how to achieve this, it is well worth spending the time to read an article written in Automation World based on the actual experiences of a CIO charged with bringing OT and IT teams and capabilities together. Entitled Creating a new breed of Manufacturing IT the following brief excerpt is provided for the sole reason of encouraging readership of the full article!

People trained to work in IT are focused on computer systems, networks and enterprise applications. They are used to reacting to trouble tickets and troubleshooting problems to get systems back online to avoid inconveniencing end users. OT folks, on the other hand, work proactively and in real time; their machine downtime doesn’t mean the company will miss a few emails, but rather a few hundred thousand dollars...

… Not only do these two groups work in different ways, but they also speak different languages—from the technology lingo to the actual communication protocols. As a result, traditionally, there’s been a clear line between these two domains, and never the twain shall meet—until now.

The full article covers includes the experiences of other Enterprises, comments from the head of Strategy at GE Predix, and an important link to the Control System Integrators Association (CSIA). For those from an IT background this organization has much to offer from its work to identify and standardize good practice for OT and Industrial Automation.

Wipro, a global leader in System Integration, believes it has developed an answer through an approach it calls Strategic Integration. The core skill of bringing together disparate technology elements, and vendors, to deliver a business requirement remain the right foundation. However, the past focus has been too much on technology, and the relationship with the IT department, now more direct engagement with the overall Business is required.

Rapidly emerging Digital Business models, usually accompanied by a strategic transformation, require direct business knowledge and engagement as much as the ability to deliver through Technology. Wipro define Strategic Integration as incorporating the Business Activities in the layer above the traditional IT operations in a single Enterprise cohesive approach. The result is a holistic approach to the entire enterprise – IT, OT, business, processes, products and services – progressing as an integrated whole, delivered through a continuous cycle of individual deployments occurring across the enterprise.

Wipro Strategic Integration offers an attractive approach both at Enterprise level as well as directly to individual Business Managers in developing their transformational thinking. Wipro offers a new level of relationship that combines the knowledge of the latest technology capabilities with the experience of business sector transformation.

The result is delivers substantial value in individual deployments and accumulative value to the Enterprise from the individual deployments working in an integrated manner. This could over come many of the difficulties currently reported of individual Business projects achieving their aims, but in isolation leading to a new level of Enterprise discontinuities. The approach aims to make full use of the value of existing IT, accumulated data and practices, with the addition of the direct business experience, combined to deliver fully integrated and optimised Business Transformation.

IoT, in its role of connecting Business Activities and Services, with the technologies of Clouds, Distributed Apps and AI, is perhaps the key enabler to all of this. The sheer scale of connected IoT Devices and orchestrations of Services working in a Stateless, loose-coupled architecture requires as much transformation of the IT department and the System Integrator as any other Business activity or sector.

 

Summary

It’s not just the market for IoT that is evolving to become better defined, its also becoming clear that a transformation in the relationship between Business and Technology is occurring as well. The Digital Enterprise is emerging through both internal improvements to near real-time Operational management and the external shift towards creating revenue by Smart Services.  Enterprises are finding the need to create a new agility between Business and Technology staff; internally with the IT department and externally with Providers.

Hybridization is not just a desirable trait in Managers, it is equally necessary in Partners and their own staff, and the old model of IT and SI working together in set piece engagements has to change. Partners who work as collaborators, understand your industry, and can work to create an end-to-end blueprint for strategic integration, coupled with rapid flawless implementation are going to be very valuable. A new round of appraising System Integrators to understand how they have transformed their own approach seems likely!

New C-Suite

A True Multilingual Internet Starts with Universal Acceptance

A True Multilingual Internet Starts with Universal Acceptance

I was on a briefing call earlier this week with ICANN board member and CTO of Afilias Ram Mohan about the need for the technology industry to adopt Universal Acceptance (UA) standards for websites and email domain extensions. UA is defined as a technical compliance process that ensures that all domain names and email addresses can be used by all internet-enabled applications, devices, and systems. Simply put, UA is the ability to have domain name extensions in local languages beyond today’s ASCII and latin based characters, especially important in this age of globalization. An example would be â€œ.photography” and  “.рф” for “Russia” in the Cyrillic script or “.info" and “.訊息" in Chinese. Our universe of available domains under the current two to three character limits is shrinking, and many companies are making naming decisions based on one key criterion - is the domain name available?  UA opens up additional opportunities to expand into branded in-language domains; particularly helpful to global Chief Marketing Officers (CMO) who owns their organization’s list of domains as part of branding. 
 
The Universal Acceptance Steering Group (UASG) is currently focused on influencing the developer community. I have a different perspective and see UA as a broader customer experience issue that will impact any technology that facilitates the capture of customer or prospect contact information including CRM, Marketing Automation, and Commerce platforms just to name a few. I believe the UA issue warrants the attention of the broader C-Suite including CMOs, Chief Digital Officers, Chief Customer Officers, and Chief Revenue Officers and here’s why:
 
There are currently over 3.5 billion internet users or about 40% of the world’s population according to Internet Live Stats. The majority of new users will come from non-latin based language countries. In-language domain names are gaining popularity and as these customers try to purchase products or sign up for offers with their email address, the web forms will need to have the ability to capture, validate, process, and store these new email extensions. “Failing” the form with an error message due to not recognizing the domain extension can result in the loss of the sale. The slide from the UASG below illustrates the issue:

Image source for the slide and header photo: Universal Acceptance Steering Group (UASG)
 
There are precedents for web standards such as the World Wide Web Consortium or W3C. The goal is to have Universal Acceptance become a web standard in the future. According to Ram, over 120 global organizations including Apple, Google, GoDaddy, Microsoft and more, are currently engaged with the UASG. I also recommend the CRM, sales, marketing, and commerce solution providers to look into and plan for UA compliance as well. More information on Universal Acceptance can be found at https://uasg.tech.
 
 
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NASSCOM 2017 Highlights Need For Re-Skilling And Moving Beyond Trump

NASSCOM 2017 Highlights Need For Re-Skilling And Moving Beyond Trump

Services Vendors Need To Move Beyond Trump, H1B, and Re-skilling Concerns

Constellation participated in the 25th edition of Nasscom’s India Leadership Forum 2017 (NILF17) in Mumbai at the Grand Hyatt.   Though everyone was here to Reimagine, not Re-engineer , during the off-stage conversations with technology buyers, IT services providers, and the press, the hot topics included:

  • Ramifications of a Trump presidency.  The media hype created an uncertainty that required clarity.  Every conversation started with what do you think President Trump will do?  Constellation’s research shows that services providers will see an improved business climate replacing the uncertainty leading into the US presidential election.

    Point of view (POV): Constellation believes today’s IT services and BPO providers are well entrenched in the US to be able to weather any “hints” of protectionism.  The IT Services industry will not be paralyzed by Trump — it’s in process of trying to imagine what’s next.   The Constellation post-election analysis remains solid and can be read here. 
  • H1-B policies.   Concerns over changes in US policy rose to the forefront of every conversation.  Almost every IT services provider felt exposed to any potential shifts.  The reality is that the global IT services workforce is very competitive with blended off-shore and on-shore delivery models.

    (POV): Constellation believes that the US legislative process will adjust to address skills requirements and could potentially increase the number of H1-B visa.  Constellation believest hat non-Indian IT services firms will also feel the same pressure as there is very marginal labor arbitrage left among global players. Constellation expects a bigger shift to near shoring by all players.
  • Re-skilling requirements of the workforce.  Almost every IT services vendor CEO or exec Constellation spoke to openly acknowledged that trends such as AI and robotic process automation will require a reskilling of the workforce.

    (POV): Constellation’s research shows that AI will lead to “Augmented Humanity” rather than destroying jobs. Expect repetitive work and labor arbitrage to be replaced by software.  However, new work will emerge in creating these new models as well as shifting the labor pool to higher skilled tasks that require faster decision making skills and more human judgment.

In addition to the great conversations with clients, Constellation shared the latest research in a keynote on Responsive & Responsible Approach to Dynamic Leadership for Digital Transformation.  On stage with Persistent System’s Mritunjay Singh (ED & President – Services) as the session Chair the session drew a lot of interest in new leadership models. In addition, Constellation moderated a panel flaunting the best possible brand diversity.  Panelists included Ajay Arora (MD, D’Decor Home Fabrics Pvt. Ltd.), Alexandra Willis (Head of Communications, Digital & Content, The AELTC, Wimbledon), and Fareed Patel (VP & Head of Global Commercial Platforms, GSK) on Why Customer Experiences trumps communication in a digitally disrupted world.

Meanwhile Constellation also served on 2 TV panels where Digital Trends, and the Future of Outsourcing was discussed with 7 CEOs of tech providers, including the Nasscom President – R Chandrashekhar.

The Bottom Line: IT Services Industry Ripe For Disruption

Despite the overall concern expressed by the media and analysts, few IT services vendor executives openly discusse dthe need for business model transformation in the industry. Constellation’s consistent concern for the IT Services and BPO industry has identified the shrinking pie of traditional business models and the over capacity of too many players crowding the market.

Constellation expects three to five of the large services players to be acquired or merged in order to consolidate and stabilize the market.  On one hand, competition within the space has fiercely intensified, and on the other, ISVs and Cloud players are taking away the IT services pie.  Both threats will quickly turn into existential ones over the next 24-36 months , and Constellation believes that new business models driven by IP and based on the principals of “Networked Economies”, will define the successful players in IT Services space.

Your POV.

What do you think of your IT services vendor?  Do you see them as a strategic partner or just a cost play?  Do you plan to co-innovate and co-create with them?

@rwang0 @nasscom #NILF17Add your comments to the blog or reach me via email: R (at) ConstellationR (dot) com or R (at) SoftwareInsider (dot) org.

Please let us know if you need help with your Digital Business transformation efforts. Here’s how we can assist:

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  • Sharing best practices
  • Vendor selection
  • Implementation partner selection
  • Providing contract negotiations and software licensing support
  • Demystifying software licensing
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Competing in the Digital Economy as an Integrated Digital Enterprise. Three vendors move to offer integrated Business solutions

Competing in the Digital Economy as an Integrated Digital Enterprise. Three vendors move to offer integrated Business solutions

Any description of the Digital Services Economy will focus on the development of marketplaces through hyper connectivity, and massive data flows. Those enterprises that become competitive winners have learnt how to read and respond in an optimized manner to new business opportunities. The Digital Enterprise Business model demands new levels of Enterprise activity integration. To gain external Agility in responsiveness requires deep [S1] insights into internal operational performance in near real-time as well as the ability to orchestrate the optimum response. Clouds based Services and Apps are reality, IoT sensing is gaining ground, and now AI is coming; deployed together in an integrated solution these technologies transform the Enterprise capability.

Whether the context is human, machine or computer, increasing the richness of any ‘Network’ has always led to improvements in business outcomes, and operational Enterprise efficiency. From 2000 onwards the Internet has driven the transformation of business starting with the Web, moving to the use Clouds, and Apps. Now the Internet of Things, with its implications to providing the Digital World that AI requires, is literally connecting these changes together.

It was the same 25 years ago when the individual technologies of the PC, Ethernet and Client-Server, even eMail, combined to form ERP enterprise applications transforming the basis for business competitiveness. It is easy to recognize the value of ERP, with its data subsequently enabling the development of BI, and over look that it’s catalyst was a new business model termed Business Process Re-Engineering, or BPR.

Business Process Re-Engineering defined a new, and highly competitive, Business Operations model by showing how to redesign Business Operations by incorporating these technologies. As BPR/ERP early adopters transformed the competitive dynamics of the market place, late adopters were forced to play catch up to compete, even survive. It’s no coincidence that this period corresponds to the sharpest increase in the rate of corporate failure.

In 2017 the leading management consultants are united in their vision of the new Digital Economy created by the combination of Internet centric technologies collection. Less clear is the detail defining the formation of a connected online, dynamic, Enterprise capable of operating to win business through semi autonomous AI based decisions. An Enterprise that will be using IoT sensing to render the physical world in Digital form, and gaining the benefit of Cloud based resources as on-demand Services.

Sadly the skill to achieve this from the disparate technology and products is lacking, and for most Enterprises is a serious concern holding back their strategy.

Enterprise Management knows the risk, and expense, of achieving this through a custom deployment is high, it is even difficult to have enough knowledge to establish the right achievable business requirement.  The desirability of a ‘packaged’ solution that both establish the business case, as well as ensuring the outcome is safely delivered is obvious.

But the market is maturing and now two leading IT Technology vendors and one Solution Integrator, (the IoT equivalent of a System Integrator), are offering well integrated solution portfolios that avoid much, if not all, of the identifiable risk. Each solution Portfolio covers an Enterprise activity in a comprehensive manner, but each focuses on a different aspect of an Enterprise business model. The following brief outline of each draws attention to these significant changes in the IoT business market. (see footnote on selection of three vendors).

 

  1. SAP

SAP positions IoT as a further stage in Enterprise operating efficiency integrating with SAP ERP, Business Intelligence and S4/HANA. The value of data flow integration through the ‘real time’ in memory rapid processing of the latest upgraded S4/HANA is a key aspect in the SAP architecture. SAP initially built in house expertise in utilizing IOT sensing to extend the range, and types, of data used in SAP vertical sector ERP solutions, (example). Then in the autumn of 2016 SAP announced a 2 billion euro major program of investment including the acquisition of Plat.One with its proven IoT Platform as an acceleration of its IoT activities. 

The result was the introduction of the SAP Leonardo a comprehensive portfolio of IoT capabilities each aimed at improving an individual Enterprise activity, but complete with integration architecture comprising of three major elements to ensure across the Enterprise integration and business value;

SAP Leonardo Bridge combines real-time information from connected things with business processes through a range of packaged enterprise end-to-end solutions for connected things from products to people across line-of-business and industry use cases

SAP Leonardo foundation best of breed business services to rapidly build IoT applications including digital twins, reusable application services, as well as applying predictive algorithms, all running on the SAP Cloud Platform.

SAP Leonardo for Edge Computing manages data collection, and offers edge based processing if required, managing connectivity, latency, and device protocols.

To encourage Enterprises to take advantage of this integrated environment SAP offers the Leonardo Jump Start Program with fixed time frames and costs to achieve the selected solution outcome.

2) Salesforce

Established as the major innovator in the provisioning Cloud Based Business Services focused on maximize Enterprise sales and revenue, Salesforce fully incorporates the Data from IoT devices and sensing to drive measurable outcomes. Salesforce IoT Cloud is a specialized Cloud based set of capabilities architecturally integrated with the other Salesforce Clouds. An approach that allows IoT data to be combined with any other data, rules or processing actions that form any Salesforce Business [2] outcome.

IoT Cloud is a platform transforming connected products into engaging customer experiences. With partners providing the capability to manage at massive scale the connectivity and data collection/collation originating from IoT devices and sensors, IoT Cloud marries customer context to IoT data to enable real-time customer engagement. The processing capabilities are, in common with other Salesforce Clouds, provided by Salesforce Thunder, termed as a "massively scalable real-time event-processing engine." Salesforce Thunder provides a common processing service using definable state based Business rules that allows IoT data to be used in conjunction with other non-IoT data to trigger events. Salesforce plans to add Einstein AI capabilities to further extend the business value.

Salesforce aim to provide an integration between all data inputs, now extended to include IoT, existing data, established business rules and AI created relationships to achieve the maximum impact in managing customer experiences. The Salesforce ‘as a service’ deployment model encourages a low cost and low risk adoption path.

3) Capgemini

A Solution Integrator for IoT and 3D platforms is an obvious role, often claimed as a simple extension of Systems Integration. Though the concept of combining ‘best of breed’ elements into a strong customized offering is similar, there are substantial differences. Few Systems Integrators have the depth of both business and technology skills in Digital Markets, combined with the width of Enterprise Business activity understanding, to not only compete, but to develop an Enterprise transformation portfolio.

Capgemini’s Digital Manufacturing Services Portfolio requires the support of their extensive network of Capgemini experts working with a wide range of partnerships with leading IT vendors in its ecosystem. The result is a cohesive, integrated portfolio of offerings that redefine Product and Asset Management, and Manufacturing Operations from beginning to end to suit the Digital Economy. The individual offerings are part of a range of Capgemini ‘Ready2Go’ prebuilt business solutions, such as Digital industrial Asset Lifecycle Management (DiALM) and eObjects IoT Platform, all of which are part of fully integrated processes across an Enterprise.

The Capgemini Portfolio approach enables Manufacturers to start by improving activities initially selected to deliver the highest business value, whilst being able to continue their transformation by adding more activities always secure in the ongoing integration.

Summary

Many Enterprises have been reluctant to invest in IoT enabled Digital Transformation fearing that the market was too immature, that project failure or expensive over runs were likely, or even that the initial investments would turn into technology dead ends restricting future options.

SAP, Salesforce and Capgemini are all offering ‘easy start’ entry into significant Enterprise Business activity solutions. Interestingly, each has used their expertise to develop a different focus, thus incidentally proving how wide the overall transformation of the market will become. Existing Customers of any of these three vendors should seize the opportunity to discuss their options to start a lower risk high Business value project.

Footnote; Constellation has identified these three vendors on the basis on market interest and client enquiries, and there selection does not form either a recommendation, nor imply that other vendors do not have competitive offerings.

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IBM Next Steps With Machine Learning: Mainframe and Power

IBM Next Steps With Machine Learning: Mainframe and Power

IBM Machine Learning for z/OS could be a boon to big banks and insurance companies that want advanced analytics on the mainframe. Next up is the IBM Power platform.

Public cloud providers have popularized machine learning with low-cost, easily accessible services, but that’s a separate world from the tightly regulated, on-premises computing environments maintained by many big banks and insurance companies. Now IBM is bringing cutting-edge analytics to these mainframe customers with IBM Machine Learning (IBM ML) for z/OS.

Announced February 15 in New York, IBM ML is a private-cloud-only offshoot IBM Watson Machine Learning , the public-cloud service on IBM Bluemix. More than 90 percent of data still resides in private data centers, according to IBM, and the company is in a unique position to bring the latest in analytics to these environments starting with the IBM mainframe.

Thousands of companies still rely on IBM System z mainframes, including 44 of the top 50 global banks, 10 out of 10 of the largest insurers and 90 percent of the world’s airlines. These organizations have been among the most conservative about moving their core transactional applications to new platforms. That does not mean, however, that they are not interested in taking advantage of advanced analytics.

IBM Machine Learning for z/OS will bring transaction-time analytics to the mainframe
environments still heavily used by big banks and insurance companies.

Heretofore the likes of big banks and insurance companies have used sampling methods or batchy, bulk-data-movement to support predictive analytics. Hadoop-based data lakes, for example, are often used for customer 360 and risk analyses, and machine learning is increasingly popular in that role. But these approaches introduce data-movement costs, human-intensive manual worksteps and latency. The ideal in analytics, and the goal with IBM ML for z/OS, is to bring the analytics to the data rather than moving the data to a separate analytics environment. IBM ML for z/OS relies on an external X86 server and z Integrated Information Processors (zIIP coprocessors), so it doesn’t impact production performance or increase (expensive) mainframe processing cycles.

IBM ML for z/OS has been in beta since October, says IBM, and 20 organizations have been part of the beta program. Most of those organizations are banks and insurance companies, and many are seeking an alternative to rules-based and table-based systems that provide more primitive and brittle predictive capabilities. With machine learning applied directly to data in the mainframe environment, IBM ML promises more accurate, customer-specific prediction and, therefore, more extensive automation at the time of the transaction.

American Federal Credit Union, one IBM ML beta client, currently automates 25 percent of lending decisions while the remaining 75 percent go to underwriters. IBM says early testing for American Federal showed that IBM ML promises to automate 90 percent of the workload that would otherwise go to underwriters. Another beta customer, Argus Health, is using IBM ML for z/OS to apply and continuously update models and scores against payer, provider, and phama-benefits data in order to predict outcomes and improve the effectiveness of treatments. Banks and insurance companies have been the first in line for IBM ML for z/OS, but IBM expects airlines to use the system for applications including predictive maintenance.

IBM says it intends support analytics with a choice of languages, frameworks and platforms. At launch IBM ML for z/OS is based on Scala and uses the Spark ML library, but there are plans to support R, Python, TensorFlow and other languages and libraries. To make life easier for developers, IBM ML for z/OS includes and optimized data layer built by Rocket Software to connect to mainframe sources such as DB2, VSAM, ISM as well as non-mainframe data sources. In a demo at the announcement event, an IBMer correlated data from the cloud-based Twitter Insights service on IBM Bluemix with transactional records on the mainframe to support customer churn analysis.

IBM ML includes the company’s Cognitive Assistant for Data Science (CADS), which automates the selection of best-fit algorithms for the modeling scenario at hand. IBM’s software also includes model-management and governance capabilities that are essential in regulated environments.

Beyond adding support for more languages and machine learning libraries, the next big step for IBM ML will be support for the IBM Power platform, which also supports workload that tend to remain in private-cloud environments. IBM last November announced PowerAI Suite software for a high-performance-computing-specific IBM server that pairs Power8 chips with NVidia Graphical Processing Units (GPUs). The combination supports machine learning libraries such as Caffe, Torch, and Theano and last month added Google’s hot TensorFlow deep learning framework to the mix. IBM ML support would add CADS for automated algorithm selection as well as IBM’s model-management and governance capabilities.

The roadmap for IBM ML calls for more choices of languages, machine learning and
deep learning libraries and support for IBM’s Power Systems platform.

MyPOV on IBM ML

It only makes sense for IBM to bring its latest analytical capabilities to System z and Power customers. Whether those customers have already turned elsewhere for predictive capabilities, and whether IBM ML for z/OS, or when available, IBM ML for Power, are better alternatives are separate questions. Analytic latency and data movement at high scale are both undesirable. But to what extent have companies already offloaded historical data from the mainframe onto lower-cost platforms? That would have a big impact on the accuracy and appeal of IBM ML. And to what extend are prospects relying on hard-to-maintain rules-or table-based systems if they’re not using more advanced forms of prediction?

Applying prediction at the transaction is clearly desirable, but companies including IBM have offered answers to this challenge before. To beat out the options already in place, IBM ML must offer lower latency, more accurate predictions, a higher level of automation, lower total cost of ownership or all of the above. IBM had a lot to say about lower latency and, through automated best-fit algorithm selection, better accuracy. We’re looking forward to conversations with early adopters to hear their take on the advantages of IBM ML over alternative routes to predictive insight.

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Nokia Creates Global Network Grid for IoT

Nokia Creates Global Network Grid for IoT

Constellation Insights

Nokia is betting it can be a player in IoT by offering enterprises a single place to acquire a global IoT networking footprint. Here are the key details from its announcement at Mobile World Congress:

Nokia WING will manage the IoT connectivity and services needs of a client's assets, such as connected cars or connected freight containers, as they move around the globe, reducing the complexity for enterprises who would otherwise be required to work with multiple technology providers.

Connectivity is enabled by intelligent switching between cellular and non cellular networks. For example, a shipping container linked by satellite in the ocean could switch to being connected by a cellular network near a port.

Nokia will offer a full service model including provisioning, operations, security, billing and dedicated enterprise customer services from key operations command centers. The company will use its own IMPACT IoT platform for device management, subscription management and analytics. Nokia IMPACT subscription management for eSIM will automatically configure connectivity to a communication service provider's network as the asset crosses geographical borders.

Communication service providers can quickly take advantage of new business opportunities that will be made available by joining a global federation of IoT connectivity services. By leveraging their excess network capacity they will be able to serve enterprises that require near global IoT connectivity, rapidly and with little effort, to realize new revenue streams. 

Nokia also plans to offer WING as a white-label product telcos and ISPs can use to create their own branded services. 

WING arrives at an interesting time for the IoT market, says Constellation Research VP and principal analyst Andy Mullholland.

"There are starting to be questions as to why some analysts' predictions of millions of interconnected IoT devices within a couple of years hasn't happened," Mulholland says. "My simple reply is that the supporting telecommunications infrastructure offering the right services at the right price is still largely lacking. This announcement from Nokia puts another building block in place technically, but together with other technology elements such as LoRa it still has to be rolled out by telecoms." 

"We seem to have the chicken and egg problem as to which comes first," he adds. "Is the lack of suitable infrastructure holding back demand, or is the demand not there for these new services? Meanwhile, the Intranet of Things continues to be rolled out within Enterprises in support of operational improvement."

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Tech Optimization Chief Information Officer

Google's Mega-Scale Database, Cloud Spanner, Is Now in Beta

Google's Mega-Scale Database, Cloud Spanner, Is Now in Beta

Constellation Insights

Google has made a long-anticipated move with the beta launch of Cloud Spanner, its globally distributed relational database that has powered many of its mega-scale consumer services for years. Here are the key details from Google's announcement:

When building cloud applications, database administrators and developers have been forced to choose between traditional databases that guarantee transactional consistency, or NoSQL databases that offer simple, horizontal scaling and data distribution. Cloud Spanner breaks that dichotomy, offering both of these critical capabilities in a single, fully managed service.

Cloud Spanner keeps application development simple by supporting standard tools and languages in a familiar relational database environment. It’s ideal for operational workloads supported by traditional relational databases, including inventory management, financial transactions and control systems, that are outgrowing those systems.

With Cloud Spanner, your database scales up and down as needed, and you'll only pay for what you use. It features a simple pricing model that charges for compute node-hours, actual storage consumption (no pre-provisioning) and external network access. 

For regional deployments, Spanner costs $0.90 per node per hour, with $0.30 per GB of storage per month. There are also charges for network egress. Multi-region pricing will be released soon. 

One early customer kicking Spanner's tires is supply-chain software vendor JDA, which sees Spanner as ideal for handling massive amounts of IoT data while providing high availability. 

While a newly released service, it seems safe to say Spanner has already been battle-tested at the highest levels. Internally at Google, it handles tens of millions of queries each second, and powers the likes of AdWords. 

Google has come up with simple and elastic pricing for Spanner and there are clear use cases for it, says Constellation Reseach VP and principal analyst Doug Henschen. "Spanner uniquely delivers global scalability with consistency for demanding financial services, advertising, retail and supply chain applications requiring synchronous replication," he says. "If there’s one weakness, it’s that Cloud Spanner does not support complicated ormultiple simultaneous reads and writes within single transactions. Still, it uniquely offers the always-available traits of scalable NoSQL options such as Cassandra but with the strong consistency of traditional relational databases."

It's worth noting that Spanner is the inspiration for CockroachDB, an open-source database being developed by a number of former Google employees. CockroachDB is still in beta but the startup has been working on version one for a few years now. Its not clear how CockroachDB will fare against Cloud Spanner, given the engineering and marketing resources Google can bring to bear, but the presence of an open-source alternative is a welcome one and could see parent company Cockroach Labs become a tantalizing acquisition target for Google's competitors in cloud infrastructure.

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Tech Optimization Chief Information Officer