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Connected Enterprise 2016 - What's Next For IOT
Connected Enterprise 2016 - What's Next For IOT
Join industry experts on what has changed in IoT. Discover how IoT is powering new business models, transforming service delivery, and improving outcomes for all parts of this business. Hear how big data, AI, and IOT are converging to transform the future of business.
VP & Principal Analyst at Constellation Research: Andy Mulholland
Chief Commercial Officer at GE Power: Dick Ayres
CTO for Customer Connection at salesforce: Charlie Isaacs
Constellation Research Orbits Member: Brian Katz
Director of Marketing at Plex Systems: Stu Johnson
Head of IoT Solutions at Microsoft: Tom Davis
Chief Digital Architect | Digital Customer Experience at Capgemini: Mark Fodor
Connected Enterprise 2016 - From Sensors To Smart Services, How IOT Drives Digital Business and CX
Connected Enterprise 2016 - From Sensors To Smart Services, How IOT Drives Digital Business and CX
The internet of things (IoT) is more than just sensors and devices. As organizations and brands gain context from IoT, they improve relevancy and slowly earn the permission to engage. See how IoT is transforming customer experiences in this panel of early adopters.
VP & Principal Analyst at Constellation Research: Dr. Natalie Petouhoff
VP, Customer Experience: Martin Marcinczyk
Director of Business & Digital Transformation at STANLEY Healthcare: Amihai Zeltzer
Capgemini: Kim Smith
BMW Design Works Group: Peter Falt
Monday's Musings: Secrets Behind Building Any AI Driven Smart Service
Monday's Musings: Secrets Behind Building Any AI Driven Smart Service
AI Driven Smart Services Power The Future of IOT, CX, Future of Work, and Block Chains
The combination of machine learning, deep learning, natural language processing, and cognitive computing will change the ways that humans and machines interact with our environments. AI-driven smart services will sense one’s surroundings, know one’s preferences are from past behavior, and subtly guide people and machines through their daily lives in ways that will truly feel seamless. This quest to deliver AI driven smart services across all industries and business processes will usher the most significant shift in computing and business this decade and beyond.
Organizations can expect AI driven smart services to impact future of work flows, IOT services, customer experience journeys, and block chain distributed ledgers. Success requires the establishment of AI outcomes (see Figure 1). Once the outcomes is established, organizations can craft AI driven smart services that orchestrate, automate, and deliver mass personalzation at scale.
Figure 1. Seven Spectrum of AI Outcomes

Secrets To Designing AI Driven Smart Services Start With The Orchestration Of Trust
Crafting AI-driven smart services requires a shift in thinking to atomic driven smart services. In fact, these new AI driven smart services rely on five key components:
- Applying digital footprints and data exhaust use AI to build anonymous and explicit profiles.
Every individual, device, or network provides some information. That digital footprint or exhaust could come from facial analysis, a network IP address, or even one’s walking gait. Using AI and cognitive reckoning, systems can start to analyze patterns and correlate identity. That means that AI services will recognize and know individuals across difference contexts. - Immersive experiences enable a natural interaction.
Context, content, collaboration, and channels come together to all AI-driven services to deliver immersive and unique experiences to each individual. The services will use context attributes such as geospatial location, time of day, weather, heart rate, and even sentiment – combined with what the service knows of our identity and preferences – to improve relevancy and deliver the appropriate content. Sense-and-respond mechanisms will enable collaboration among participants and machines through conversations and text dialogs. Channels include all interaction points such as mobile, social, kiosks, and in-person. The goal is natural user experiences based on identity. - Mass personalization at scale delivers digital services.
Anticipatory analytics, catalysts, and choices interact to power mass personalization at scale. Anticipatory analytics allow customers to “skate where the puck will be”. Catalysts provide offers or triggers for response. Choices allow customers to make their own decisions. Each individual or machine will have their own experience in contexts depending on identity, historical preferences, and needs at the time. From choose-your-own-adventure journeys, context-driven offers, and multi-variable testing on available choices, the AI systems offer statistically driven choices to incite action. - Value exchange completes the orchestration of trust.
Once an action is taken, value exchange cements the transaction. Monetary, non-monetary, and consensus are three common forms of value exchange. While monetary value exchange might be the most obvious, non-monetary value exchange (including recognition, access, and influence) often provide a compelling form of value. Meanwhile, a simple consensus or agreement can also deliver value exchange on the veracity of a land title or agreement on a patient treatment protocol. - Cadence and feedback continues and AI powered learning cycle.
Powered by machine learning and other AI tools, smart services consider the cadence of delivery: one time, ad-hoc, repetitive, subscription based, and threshold driven. Using machine learning techniques, the system studies how the smart services are delivered and applies this to future interactions.
Figure 2. The Secret To Designing Atomic AI Driven Services

The Bottom Line: Artificial Intelligence Augments Humanity
Fears of robots taking over the world have been overblown. Successful AI driven smart services will augment human intelligence just as machines augmented physical capabilities. By enabling reduction of errors, improving speed of decisions, identifying demand signals, predicting outcomes, and preventing disasters, AI driven smart services play a key role in defining business models for block chain technologies, IOT, customer experience, and future of work.
Your POV.
Are you ready to unlock the powers of Artificial Intelligence? What’s your entry point? Machine learning, natural language processing, topological data analyses? Would you like to hear what other organizations have embarked on? Would you like us to present to your boardroom? Learn how non-digital organizations can apply an AI road map to disrupt digital businesses in the best-selling Harvard Business Review Press book Disrupting Digital.
Request an inquiry with me here: http://info.constellationr.com/analyst-inquiries
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- Developing your digital business strategy
- Connecting with other pioneers
- Sharing best practices
- Vendor selection
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GE an update on IoT progress from Minds and Machines
GE an update on IoT progress from Minds and Machines
GE is probably the global business most strongly associated with demonstrating not just a strategic commitment to IoT, but also for leading business driven implementations. The GE annual Minds and Machines event in San Francisco has become an Industrial Internet showcase for Business IoT. Packed with case studies demonstrating millions of dollars of business benefits, together with GE announcing its own next plans to derive business value from IoT adoption.
Minds and Machines has examples of real business strategic transformation case studies that are the game changes to industry sectors. Here GE, and other major Global Industrial Players, show how in Industrial Manufacturing IoT with Connectivity, Cloud Provisioning, and now AI delivers on major projects. Minds and Machines is not about ‘pilots’, or small Enterprise projects, it’s about how real Strategic Transformation has delivered millions of dollars of benefits.
As with Salesforce Dreamforce some weeks ago the manner of the event itself is significant. Technology wide support from speakers, sponsors and exhibitors demonstrates strong moves towards engagement and adoption of the approaches. Minds and Machines follows the trend towards events focusing on understanding the use of Technology in Business rather than product release hyping. As this is an event primarily about Industrial IoT the following sponsors from an IT background, (in addition to the expected Industrial players), says much about the merging of the technology market within IoT;
Highest Level; Accenture, Deloitte, Microsoft, HP, Intel
Second Level; Capgemini, E&Y, PWC
Third Level; Dell, Infosys
Only a year ago the different technology worlds didn’t seem to be aware of each others moves into IoT as detailed in the blog; IoT - where two or even three possibly four worlds collide or operational technology meets information technology. Now as deployments move to Enterprise scale the understanding of the need for broader integration into Enterprise IT systems has become clear. The list of technology sponsors is in fact a list of major SIs. However what used to be known as Systems Integration, or SI, would be better termed ‘Solutions Integration’ to match the widening of skills required across multiple disciplines.
So the answer to the question posed in the blog IoT – where are the Integrators, or more particularly who are the Integrators? seems to be arriving. The global SI players who have grasped the need are making themselves known at key IoT events that enable them to demonstrate their case studies. (As are an increasing number of small-specialized players who have chosen to specialize in IoT integration).
As ever the challenge remains as the number of skilled staff available at any of these companies, so there is a necessity for a high degree of focus in the activities of any of the SI players. As Solution Integration of IoT carried out by specialized units within the overall Systems Integration business it is difficult via the usual sales and account management channels access the level of information that will help find the right SI for your requirement.
Large scale specialized IoT exhibitions, such as Minds and Machines, have come into their own during this last year. When it’s difficult to pinpoint what you want and, frustrating to try to get access to the real skilled staff, the simplicity of an exhibition has become appealing. The IoT market is laid out for physical browsing with the benefit that you can walk onto stands of interest to question knowledgeable staff, usually in the presence of a full-scale demonstration. It’s pretty easy to see why exhibitions are back in favor with remarkably high attendances are being reported at the prime events!
Minds and Machines delivers on this promise, as a showcase for the Industrial Internet, leading the way in show casing the development of Industrial Automation and Operational Technology. The case studies and presentations, particularly by GE themselves, all reflected on their premise of the 1% Improvement in five selected Industry sectors through IoT led Business Transformation.
A Brief Overview on the progress of GE Predix and GE Software;

These five Industry sectors are core markets for GE where many years of involvement have built up expertise in all aspects of the Industry sector. Each has similar characteristics of complex, sophisticated products, operated at scale, with large costs, making the simplicity of the focus and target of 1% costs saving a clear business strategy that would be understood by Boardroom executives.
The result has been considerable Boardroom interest with the resulting Industrial Internet collaboration in the USA, and in Europe the similar but slightly different parallel establishment of Industrie 4.0 .
It is difficult to overview the many case studies presented, (here are some from GE website), but there can be little doubt that the goals of ‘The Power of 1% Percent’ are on their way to being realized. (For more information see MIT Sloan’s review on GE strategic bet and Industrial Internet Case Studies from members). The next stage after the highly target improvement of GE products performance in the 1% strategy is to address the operation of their products as an ecosystem. The Rail Industry was one of the first targets for this level of Industry Transformation of overall operations as described in a GE Report dated March 2016.
GE strategy to achieve Industry Transformation across five key sectors rests on GE Predix its own in-house development using the expertise gained in the design and production of Industrial machinery. GE defines Predix as an operating system, or Platform for machinery. Predix combines the standard IoT ingredients; the connectivity of the Internet, the sensing of IoT, with Cloud provision; with the specialized characteristics of required for Operational Technology and specialized Modeling of industrial products and systems. Achieving the 1% savings goal across five major Industry sectors is big target so signing Predix alliances to train significant numbers of staff in the deployment of GE Predix in the big SIs that were in attendance is a critical success factor.
Predix has not surprisingly attracted a lot of attention, not always completely favorable with Fortune Magazine sounding a cautionary note in July 2016. Describing GE Software as a ‘baby startup’ Fortune pointed out as that in common with other startups the product wasn’t always as complete or robust as the marketing made it sound. In particular the article drew attention to the relatively poor ‘final mile’ connectivity, though these are the aspects that a Solution Integration partner should deliver.
In addition to its own considerable efforts to add capabilities GE has also been strengthening Predix by acquisitions; Asset Management expert Meridium in September, Machine Learning startup specialist Wise.io in October and now Field Service Manager ServiceMax in November. These moves taken with the final and all important fact of significant success in real deployments all suggest Predix has enough maturity to deliver commercial value.
In any Industrial Internet, or Industrie 4.0, event that relates to manufacturing, servicing, and operation of complex machinery, the topic of Digital Twins will be on the agenda. The extension of computer based design processes through 3D preproduction models to test expected performance, economy and maintenance operation into acting as an ongoing reference model, or Digital Twin, is becoming a reality. GE originally played a leading role in the definition and use of Digital Twins, though today there it is a widely accepted and supported concept.
Linking a Digital Twin model by means of IoT sensing to the real physical machine provides both a direct comparison between the predicted behavior, and actual experience. The feedback to improve design, predictive maintenance and continuous operational optimization is a huge game change to the capabilities of Product Lifecycle Management, PLM, and will be the subject of a separate blog.
Minds and Machines is a unique view on how manufacturing and Service operation is and will be changed in the Digital Services economy. To fully understand the GE point of view of IoT and associated technologies impact on GE and its business then there is a copy of Bill Ruh SVP & Chief Digital Officer GE, and CEO GE Digital presentation here.
New C-Suite3 Must-Reads for Enterprise Leaders Starting with @RealDonaldTrump Era
3 Must-Reads for Enterprise Leaders Starting with @RealDonaldTrump Era
If you're an enterprise business leader, not a day goes by where you don't see content everywhere. The real issue rests on which content is mission-critical to helping you run your business better? Take a look at these 3 quick posts of premium Constellation Insights content recommended by our managing editor, Chris Kanaracus, that reveal what is valuable to know, given today's political, economic, and societal environment now that we've initiated the unexpected installation of our latest POTUS, Donald Trump.
Chris K's Top 3 Must-Reads for November 2016
1. News Analysis: America in a @RealDonaldTrump Era – Everything International Clients Need to Know PESTEL Part 1
2. What's Next? Household IoT Devices Used as Path to Hack Smartphones
3. Oracle Closes Its $9.3 Billion NetSuite Acquisition: Now What?
Why Is This Important?
1. News Analysis: America in a @RealDonaldTrump Era – Everything International Clients Need to Know PESTEL Part 1
Analyst: R "Ray" Wang, Chris Kanaracus (Insight author)
WHY IS THIS IMPORTANT?: Ray's post is a sterling example of the type of in-depth, yet rapid turnaround analysis Constellation can deliver on topics of the utmost importance that fall outside core advisory proficiencies on topics such as digital transformation.
Constellation can not only advise you on technology strategies but also give a 360 degree view of the bigger picture. Also, while the post was targeted at international clients, there's plenty of insights in it for U.S. companies as well.
2. What's Next? Household IoT Devices Used as Path to Hack Smartphones
Analyst: Andy Mullholland, Chris Kanaracus (Insight author)
WHY IS THIS IMPORTANT?: It's almost absurd—researchers managed to use Belkin WeMo smart home devices, everything from coffee pots to light bulbs, to tap into users' smartphones and control many aspects of them. How'd they do it? Through Belkin's WeMo app.
Our VP and principal analyst Andy Mulholland, who leads Constellation's research into IoT, says it's time for a call to action. As he puts it, "Let's not fool ourselves by pretending each of these stories is evidence of an individual product failure when the reality is that the rules have changed, exposing a huge number of devices to wholly unexpected conditions."
If your company has an IoT strategy in the works—and who doesn't—you can work with Andy on both highly technical aspects of it, as well as to develop a sound governance framework.
3. Oracle Closes Its $9.3 Billion NetSuite Acquisition: Now What?
Analysts: Holger Mueller, R "Ray" Wang, Chris Kanaracus (Insight author)
WHY IS THIS IMPORTANT?: Relatively few large enterprises are planning to rip and replace their core ERP systems. It's just too expensive and time-consuming. But many are considering two-tier ERP strategies as a path to innovation, using modern systems typically aimed at small and midmarket customers in new divisions and subsidiaries, then tying them back to the core.
That's one reason Oracle spent so much money to buy NetSuite. It also wants to go after the SMB business it hasn't really had in ERP. Growth companies are investing in ERP for their primary solution and Oracle wants to get in on the ground floor.
There are many good choices for midmarket ERP, however, from the likes of Microsoft, Infor and to an extent, Workday. That's going to make future selections more complicated affairs. Our analysts can help you make those selection from both a technology and contract negotiation standpoint.
Innovation & Product-led Growth Data to Decisions Future of Work New C-Suite Tech Optimization Chief Executive Officer Chief Information Officer Chief Marketing OfficerNew IBM Bluemix Services Help Organizations Accelerate Data Migration to the Cloud
New IBM Bluemix Services Help Organizations Accelerate Data Migration to the Cloud
So time to dissect the press release in our customary style (it can be found here):
ARMONK, N.Y. - 18 Nov 2016: IBM (NYSE: IBM) today announced several cloud data services and features on Bluemix designed to help organizations accelerate the migration of their data to the cloud and more easily generate business insights.MyPOV – Data is the true sticky factor in all IT. True on premises and true for cloud. Moving it from on premises to cloud (and later between clouds) is a key success factor for all IaaS and PaaS players.
Organizations look to the cloud as a powerful engine to collect and interpret vast amounts of data. However, many are struggling to move their already existing datasets to the cloud, as well as retain control of where they reside and how they are accessed. Without the right tools in place, the problem will only get worse as the amount of data continues to grow. According to […], the amount of high-value data worth analyzing will double by 2020, and much of this data will be in the form of complex, unstructured information.MyPOV – The unpredictability of the data grown couple with the inability to size the deployments is what is attractive for enterprise to move to IaaS.
Now available on Bluemix, IBM Decision Optimization, Bluemix Lift and dashDB for Transactions can help organizations overcome this challenge and make more informed business decisions by enabling them to more easily aggregate, ingest and analyze expanding workloads.
“Cloud is the platform that enables cognitive intelligence,” said John Murphy, Vice President, IBM Watson Data Platform. “We’re continuing to grow our catalog of cloud data services on Bluemix so that we can help developers and data scientists better manage and more quickly interpret data for business innovation.
MyPOV – Ok – the cat is out of the bag – we know what this press release is about – three new capabilities coming to Bluemix, and a good quote from Murphy.
The services include: IBM Decision Optimization on Cloud (including the CPLEX engines) is now in beta on Bluemix. It can ingest large amounts of data including predictions, master and transactional data, business goals, and business rules to prioritize and rank business decisions such as plans and schedules. Applicable across all industries, including manufacturing, utilities, finance and retail, this powerful tool offers the ability to trade-off conflicting business goals while balancing resource limitations to make more informed decisions. This offering includes the CPLEX Optimizer Engines and can run as a standalone, embedded in applications using a Rest API, or be used in Jupyter Notebooks within IBM's Data Science Experience.MyPOV – Data Scientists and developers experienced with CPLEX will rejoice. The proven C library (yes it has C#, Java and Python options, too) is a prime example how assets from the traditional on premises world can create value in the cloud. Python will get particular interest a the language of choince for many data scientists.
For example, consider a major clothing retailer in need of restocking its winter coat supply. Local warehouses might be very low in stock, and shipping and transferring supplies from international locations could incur costly fees. Using Decision Optimization, a retail planner could automatically get recommendations and choose the most cost-effective replenishment plan, considering all possible suppliers, warehouses, shipping lanes, and costs, without having to do a potentially time-consuming manual "what-if" analysis or manual comparison of options.MyPOV – Always good to see a showcase in a press release. The mostly linear programming usage of CPLEX makes it easier to move to cloud, as only the platform changes not the algorithm.. and enterprises like it when not too many things get changed at the same time… they have a business to run.
IBM Bluemix Lift is a data migration tool to quickly, securely and reliably migrate databases from existing on-premises data centers to IBM Bluemix and IBM Watson Data Platform. Bluemix Lift encrypts data being transferred, helping to securely move it at a rate of up to ten times faster than traditional offerings. The technology is also designed to minimize downtime, so that applications using the source database can run uninterrupted during migration. In addition, Lift has been designed to be highly reliable, enabling data transfers to keep flowing even during a connectivity loss.MyPOV – To run analytics in the cloud – you need to get the data there… good to see a Bluemix service that scales, is secure etc. Key services to get adoption of Bluemix.
IBM dashDB for Transactions is a fully managed SQL database service on IBM Bluemix, optimized for transactional and web workloads to help developers fuel cloud-based applications. It offers high availability on selected plans, as well as pay-per-use units. It is part of IBM’s dashDB portfolio, offering a workload-optimized database environment designed to meet both the data warehousing and transactional needs of applications.
To get started with these services, visit the Bluemix Developers Catalog for IBM Bluemix Lift,Decision Optimization, and dashDB for Transactions.
MyPOV – A lot of the relevant load for enterprises remains in SQL databases… and transferring from on premises production to in the cloud analysis is slow and expensive. So vendors need to convince enterprises that they can run production SQL loads in the cloud, and therefore dashDB for Transaction is important for IBM.
Bluemix, IBM's Cloud platform, has grown rapidly to become one of the largest open, public cloud deployments in the world. Based in open standards, it features over 150 advanced technologies and services, including 35 cloud data services and a roster of others spanning categories of cognitive computing, blockchain, Internet of Things, DevOps and security.
MyPOV – Good summary of the Bluemix progress. Customer count / active deployments would be good to see here, too.
Overall MyPOV
The race for cloud load is in full swing and PaaS is a key offering for vendors to get enterprises on their respective cloud infrastructures. Coupled with the need of building their own applications to take advantage of the new best practices in the 21st century, PaaS is likely to make a difference which cloud / IaaS to choose. But at the end of the day it is all about the data, that comes from production systems. Making it easier to transfer the data, analyze the data and monitor it once in the cloud is key – and IBM has made three key steps with the offerings of this press release – IBM Decision Optimization, IBM Bluemix Lift and IBM dashDB for Transactions.On the concern side, IBM has now show traction with enterprises to use these new services. Being able to leverage existing, proven and trusted algorithms with CPLEX (all the way to pre ILOG days) is an asset – as it takes concerns and costs out of the move to cloud. And to be fair – every new offering needs its first customers.
For now, good move by IBM to make Bluemix and IBM Cloud more attractive to enterprises.
More on IBM:
- Event Report - IBM World of Watson - IBM's bets its future on Watson - read here
- Progress Report - IBM Alliances Insights - Deep Plans, now it is execution time - read here - read here
- News Analysis - Workday, IBM Form Strategic Partnership on the IBM Cloud - The IaaS vendor race for SaaS load is on - read here
- News Analysis - IBM Boosts Support to OpenStack's RefStack... first serious attempt to make OpenStack interoperability real - read here
- Event Report - IBM Interconnect - IBM innovates and partners into the hybrid cloud era - read here
- News Analysis - IBM and VMware announce partnership to accelerate enterprise hybrid cloud adoption >> Looking promising - read here
- Event Preview - IBM Interconnect 2016 - read here
- Site Visit - IBM Design Studio Austin - read here
- MarketMoves - IBM strikes 3x in Fall - Cleversafe, The Weather Company and Gravitant - read here
- News Analysis - IBM launches Industry's First Consulting Practice Dedicated to Cognitive Business - a good move it's early times - read more
- News Analysis - IBM plans to acquire Cleversafe to propel Object Storage into the Hybrid Cloud >> a good move. Read here
Market Move - IBM acquires StrongLoop - nodejs comes to BlueMix - read here - News Analysis - IBM and ARM Collaborate to Accelerate Delivery of Internet of Things - The IBM NextGenApps Stack emerges - read here
- Progress Report - IBM Cloud makes good progress - but needs to attract more load - read here
- Market Move - IBM gets into private cloud (services) with Blue Box acqusition - read here
- Event Report - IBM InterConnect - IBM makes bets for the hybrid cloud - read here
- First Take - IBM InterConnect Day #1 Keynote - BlueMix, SoftLayer and Watson - read here
- News Analysis - IBM had a very good year in the cloud - 2015 will be key - read here
- Event Report - IBM Insight 2014 - Is it all coming together for IBM in 2015? Or not?
- First Take - Top 3 Takeaways from IBM Insight Day 1 Keynote - read here
- IBM and SAP partner for cloud - good move - read here
- Event Report - IBM Enterprise - A lot of value for existing customers, but can IBM attract net new customers? Read here
- Progress Report - The Mainframe is alive and kicking - but there is more in IBM STG - read here
- News Analysis - IBM and Intel partner to make the cloud more secure - read here
- Progress Report - IBM BigData an Analytics have a lot of potential - time to show it - read here
- Event Report - What a difference a year makes - and off to a good start - read here
- First Take - 3 Key Takeaways from IBM's Impact Conference - Day 1 Keynote - read here
- Another week and another Billion - this week it's a BlueMix Paas - read here
- First take - IBM makes Connection - introduces the TalentSuite at IBM Connect - read here
- IBM kicks of cloud data center race in 2014 - read here
- First Take - IBM Software Group's Analyst Insights - read here
- Are we witnessing one of the largest cloud moves - so far? Read here
- Why IBM acquired Softlayer - read here
Connected Enterprise 2016- Fireside Chat with Patrick MgGrath, Dell EMC
Connected Enterprise 2016- Fireside Chat with Patrick MgGrath, Dell EMC
Join R "Ray" Wang for an in-depth fire side chat with market makers. This no-holds barred interview brings out insights and the personal point of view from industry leaders.
Moderator: R "Ray" Wang
Director, Digital Transformation, Enterprise Content Division at Dell EMC: Patrick McGrath
Connected Enterprise 2016 - Inside The Future Of Blockchain Technologies
Connected Enterprise 2016 - Inside The Future Of Blockchain Technologies
Blockchain's journey to world domination has just begun. At the moment, several security models, permission models, and private/public approaches are competing for dominance. Hear from senior executives about how they see blockchain transforming the future of business and technology and why certain approaches will win.
Moderator: Steve Wilson
Global Head of Blockchain at IBM: Aron Dutta
Recovering Product Executive: Chirag Mehta
CEO at Maxssure: Shawn Wiora
Chief Digital Officer at IMS Health: Richie Etwaru
Connected Enterprise 2016 - Moving Beyond The Hype Of Blockchain
Connected Enterprise 2016 - Moving Beyond The Hype Of Blockchain
Blockchain technologies were popularized in 2016 due to their role as the ledger technology underlying Bitcoin. However, distributed ledger technologies such as blockchain have many applications aside from Bitcoin, and have the potential to underpin technology platforms in the future. Learn about emerging applications for blockchain tech.
Moderator: Steve Wilson
Chief Digital Officer at IMS Health: Richie Etwaru
Chief Innovation Officer at Cybric: Mike Kail
Independent Blogger: Chirag Mehta
