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  Think Big – Now Think Even Bigger
  Join Us at Internet of Things at Cloud Expo, November 11-13,
at the Javits Center!


The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago.

All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend Internet of Things at Cloud Expo in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!

Delegates to Internet of Things at Cloud Expo will be able to attend eight separate, information-packed tracks:

  • Enterprise Cloud
  • Digital Transformation
  • The API Enterprise | Mobility & Security
  • DevOps | Containers & Microservices
  • Cognitive Computing | AI, ML, DL
  • Big Data | Analytics
  • IoT | IIoT | Smart Cities
  • Hot Topics | FinTech | WebRTC

There are 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.


We'll see you in New York!



Day 3 Keynote at @ThingsExpo | Chris Matthieu, CTO of Octoblu
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu's platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
  Themes & Topics to Be Discussed

Consumer IoT
• Wearables
• Smart Appliances
• Smart Cars
• Smartphones 2.0
• Automation
• Smart Travel
• Personal Fitness
• Health Care
• Personalized Marketing
• Customized Shopping
• Personal Finance
• The Digital Divide
• Mobile Cash & Markets
• Games & The IoT
• The Future of Education
• Virtual Reality

Enterprise IoT
• The Business Case for
x IoT
• Smart Grids
• Smart Cities
• Smart Transportation
• The Smart Home
• M2M
• Authentication/Security
• Wiring the IoT
• The Internet of
x Everything
• Digital Transformation
x of Enterprise IT
• Agriculture
• Transportation
• Manufacturing
• Local & State
x Government
• Federal Government

IoT Developers | WebRTC Summit
• Eclipse Foundation
• Cloud Foundry
• Linux Containers
• Node-Red
• Open Source Hardware
• Ajax and the IoT
• Leveraging SOA
• Multi-Cloud IoT
• Evolving Standards
• WebSockets
• Security & Privacy
x Protocols
• GPS & Proximity
x Services
• Bluetooth/RFID/etc
• XMPP
• Nest Labs



The Top Keynotes, the Best Sessions, a Rock Star Faculty and the Most Qualified Delegates of ANY Internet of Things Event!


The future of computing lies in these things. As computing takes a much more active role in our lives it will at the same time become much more invisible. Internet of Things Expo will address the challenges in getting from where we are today to this future.
 
The high-energy event is a must-attend for senior technologists from CEOs on down – including CIOs, CTOs, directors of infrastructure, VPs of technology, IT directors and managers, network and storage managers, network engineers, enterprise architects, and communications and networking specialists.




@ThingsExpo Power Panel | The World's Many IoTs: Which Are the Most Important?
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, panelists discussed what things are the most important, which will have the most profound effect on the world, and what should we expect to see over the next couple of years.
Benefits of Attending the Three-Day Technical Program
  LEARNexactly why Internet of Things is relevant today from an economic, business and technology standpoint.
  HEAR first-hand from industry experts the common issues and requirements for creating a platform for the Internet of Things.
  SEE what new tools and approaches the Internet of Things requires.
  DISCOVER how to drive a distributed approach to the Internet of Things, where applications move to the data.
  FIND OUThow the vast volumes of new data produced by the Internet of Things provides a valuable new source of business insight through advanced analytical techniques.
  MASTER how the ongoing development of smart cities, cars, and houses will enhance connectivity infrastructure.
Lunch Power Panel | Microservices & IoT- Moderated by Jason Bloomberg
In this Power Panel at @DevOpsSummit, moderated by Jason Bloomberg, president of Intellyx, panelists Roberto Medrano, Executive Vice President at Akana; Lori MacVittie, Evangelist for F5 Networks; and Troy Topnik, ActiveState's Technical Product Manager; and Otis Gospodnetic, founder of Sematext; peeled away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem filling in your buzzword bingo cards.


The Three Phases of Digital Transformation | @ExpoDX #DX #AI #BigData #Analytics
Digital Transformation is about creating or enabling new business models; it’s not about improving existing business processes

The research firm Technology Business Research (TBR) recently came out with a report titled, “Winning The Business Of Digital Transformation Services Requires A Process-Led Approach” authored by Sebastian Lagana and Jennifer Hamel. The report is full of good nuggets, but I especially liked the way that they categorized the 3 phases of Digital Transformation:

  • Substitution represents basic IT modernization; such as leveraging new consumption models (e.g., cloud, “as a Service”) to directly replace functions and costs that already exist in an enterprise. Shifting from on-premises to cloud can generate tangible cost savings for an organization; however, it does not have a large impact on how an organization goes to market, better serves their customers or optimizes their key business processes.
  • Extension is where disruptive technologies (e.g., data science, artificial intelligence, machine learning, data lake, IOT, blockchain) are folded into an environment to provide an organization with capabilities not available otherwise. For example, analytics frameworks are folded into existing applications to enhance the velocity and visibility of data to managers and deliver recommendations that facilitate increasingly rapid and defensible decision-making.
  • Transformation is the Holy Grail; hence it represents the overarching goal of Digital Transformation. Truly transforming one or more business processes is a complex effort that requires a process centric to transforming an organization’s business models, coupled with scale-out and elastic foundational technologies.

I think this categorization is spot on. Today, the vast majority of companies are stuck on the “Substitution” phase, where IT organizations are spending considerable attention and effort “paving the cow path,” which provides marginal cost savings, but misses the bigger business opportunities offered by the “Extension” and “Transformation” phases. And I believe the problem starts with the below understanding:

Digital Transformation is about creating or enabling new business models; it’s not about improving existing business processes.

As the title of the TBR research paper highlights, to get out of the “Substitution Quagmire” requires a business-centric, business-accountable process that provides a roadmap for moving organizations from the Substitution to the Extension and Transformation phases.

Dell EMC Consulting created the Big Data Business Model Maturity Index as a guide for helping an organization understand how to become more effective at leveraging data and analytics to power its business models; to move beyond just optimizing the organization’s key operational and business processes (see Figure 1).

Figure 1: Effectiveness at Leveraging Data and Analytics to Power Business Models

We use the term “Metamorphosis” as the final phase of the Business Model Maturity Index because it more accurately reflects the cultural, management and business model changes that organizations must address to successfully digitally transform their organizations. Metamorphosis is a complete change in form and function from one stage to the next in the life of an organism, as from the caterpillar to the pupa to the adult butterfly.

Figure 2 provides more details on each of the phases of the Big Data Business Model Maturity Index.

Figure 2: Big Data Business Model Maturity Model Details

The TBR Digital Transformation phases of Substitution, Extension and Transformation map very well to the Big Data Business Model Maturity Index, which hopefully means that we can leverage our learnings from using the Business Model Maturity Index with customers to help guide organizations’ digital transformation initiatives (see Figure 3).

Figure 3: Mapping DX Phases to the Business Model Maturity Index

Let’s review what we learned from the Big Data Business Model Maturity Index engagements that we can re-purpose for organization’s embarking on their digital transformation journey. The blog “Big Data Business Model Maturity Index Guide” provides recommendations on the steps required to transition from one stage to the next in the Business Model Maturity Index. However, I’ve copied a summary of that blog below because it’s a lot easier for me to cut and paste than it is for you to click back and forth between the blogs.

Steps to Progress from Monitoring to Insights
The Insights stage is about coupling the wealth of internal and external data with predictive analytics to uncover insights about the organization’s key business and operational processes.

  • Identify Key Business Decisions. Identify and understand the decisions that the key business stakeholders need to make to support an organization’s key business initiatives
  • Create Analytics Sandbox. Provide an analytics environment that allows the data science team to rapidly ingest data, explore the data, and test the data for its predictive capabilities in a fail fast environment.
  • Deploy Predictive Analytics. Leverage predictive analytics to uncover individuals’ relevant behaviors (e.g., tendencies, propensities, preferences, patterns, trends, interests, passions, affiliations, associations).
  • Deploy Right-time Analytics. Create “right time” analytics capabilities that can flag anomalies and behavioral changes that might be worthy of analysis.
  • Train Business Users. Train business users to “Think like a Data Scientist” in identifying variables and metrics that might be better predictors of business performance.
  • Capture Analytic Insights. Capture and catalogue analytic insights that are being uncovered about your key business entities.

Steps to Progress from Insights to Optimization
The Optimization stage applies prescriptive analytics to deliver recommendations to customers, front-line employees, and partners to improve effectiveness of the organization’s key business processes.

  • Evaluate Insights Business Relevance. Assess the potential business value of the Analytic Insights captured in the Insights phase using the S.A.M. (Strategic, Actionable, Material) methodology.
  • Deploy Prescriptive Analytics. Build prescriptive analytics to deliver actionable recommendations to the key business entities that support key business decisions and use cases.
  • Deploy Data Lake. Build a Data Lake that supports the capture, refinement and sharing of the organizations data and analytic digital assets (collaborative value creation platform).
  • Leverage Application Development. Operationalize the recommendations by leveraging modern application development techniques to integrate the results into web sites, mobile apps, dashboards, and reports.
  • Measure Decision Effectiveness. Tag the recommendations in order to determine their effectiveness. Use the results of the effectiveness measurements to fine-tune the analytic models.

Steps to Progress from Optimization to Monetization
The Monetization stage leverages the analytic learnings from the Optimization phase to create net new revenue opportunities; that is, leveraging the analytic insights to identify unmet customer and market demand that provide new revenue opportunities for new customers, products, services, audiences, markets, channels and partnerships.

  • Operationalize Analytic Insights. Capture, catalogue and operationalize the captured customer, product, operational and market insights in analytic profiles (stored in the data lake) that can then be shared across multiple business use cases.
  • Identify Monetization Opportunities. Run envisioning exercises with key business stakeholders to identify and assess the value of insights as they relate to new revenue opportunities.
  • Prove ROI. Conduct a Proof of Value where the data science team can collaborate with the business stakeholders to determine if the analytics can be turned into new revenue opportunities.
  • Operationalize New Products/Services. If there is a compelling ROI and the analytic models can generate the necessary lift, then push the new revenue opportunities to market. Instrument the rollout to monitor the monetization effectiveness and make right-time course corrections.

Steps to Progress from Monetization to Metamorphosis
The Metamorphosis stage exploits the organization’s cumulative knowledge about their data and the resulting customer, product, service, operational and market analytics to metamorphosize the organization’s business model including rewards, hiring, promotions, culture and management structure that embraces the economic value of the organization’s data.

  • Create New Business Models. Consider your customers’ reasons for doing business with you; that is, what are they trying to accomplish from a more holistic perspective – retirement, health, funding college, vacation, meals, entertainment, buying a house, transportation, etc. Leverage your customer, product and operational insights to transform your business model to more easily integrate or embed into the life, or business model, of your customers and partners.
  • Create Analytics Platform. Extend your analytics platform to incorporate customer-facing interactivity where customers and partners can develop new apps that integrate into their business operations.
  • Enable Third-Party App Developers. Determine how to enable, scale and secure the analytics platform so that third-party application developers can develop, market, sell and support new value-added applications.

But now let me add a new task:

Operationalize the Economic Value of Data. Yea, this is a new one because at the time of creating the original Business Model Maturity Index, we just didn’t know what we know today about the economic value of data. However, digital-centric organizations are realizing that the digital assets of data and analytics exhibit economic characteristics unlike that of any other organization assets; that these digital assets can be used across an infinite number of use cases and never wear out and never deplete.

Yes, “Data is the New Sun”!

Figure 4 summarizes the tasks required to transition from Monitoring (Substitution) through Insights and Optimization (Extension) to Monetization and Metamorphosis (Transformation).

Figure 4: Big Data Business Model Maturity Index Guide

The TBR report closes by stating:

We expect the next 12 to 18 months will be critical in establishing leaders and laggards in the market, with successful vendors defining their value proposition by transitioning the conversation from an ideological discussion to a targeted road map outlining specific benefits to transforming a given business process.

Yea, we’re ready to help our clients to ensure that “journey” does not become an “ordeal”!

The post The 3 Phases of Digital Transformation appeared first on InFocus Blog | Dell EMC Services.

Read the original blog entry...

About William Schmarzo
Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science”, is responsible for setting strategy and defining the Big Data service offerings for Hitachi Vantara as CTO, IoT and Analytics.

Previously, as a CTO within Dell EMC’s 2,000+ person consulting organization, he works with organizations to identify where and how to start their big data journeys. He’s written white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power an organization’s key business initiatives. He is a University of San Francisco School of Management (SOM) Executive Fellow where he teaches the “Big Data MBA” course. Bill also just completed a research paper on “Determining The Economic Value of Data”. Onalytica recently ranked Bill as #4 Big Data Influencer worldwide.

Bill has over three decades of experience in data warehousing, BI and analytics. Bill authored the Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements. Bill serves on the City of San Jose’s Technology Innovation Board, and on the faculties of The Data Warehouse Institute and Strata.

Previously, Bill was vice president of Analytics at Yahoo where he was responsible for the development of Yahoo’s Advertiser and Website analytics products, including the delivery of “actionable insights” through a holistic user experience. Before that, Bill oversaw the Analytic Applications business unit at Business Objects, including the development, marketing and sales of their industry-defining analytic applications.

Bill holds a Masters Business Administration from University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.

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Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
@Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Flexential


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

Join Us as a Media Partner - Together We Can Enable the Digital Transformation!
SYS-CON Media has a flourishing Media Partner program in which mutually beneficial promotion and benefits are arranged between our own leading Enterprise IT portals and events and those of our partners.

If you would like to participate, please provide us with details of your website/s and event/s or your organization and please include basic audience demographics as well as relevant metrics such as ave. page views per month.

To get involved, email events@sys-con.com.

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