Agenda

CIO's DATA & ANALYTICS SUMMIT

VIRTUAL EVENT DATES: APRIL 13 - 15

What’s happening, and when

Our agenda includes keynotes, talks, and conversations that will inform, answer, enlighten, inspire, solve, and prepare you for the challenges ahead. Session topics are carefully selected to be of maximum value.

All times listed on the agenda are Eastern Standard Time.

1:00 - 1:05 PM

Welcome and Opening Remarks

1:05 - 1:40 PM

Data’s Top 3 Trends to Embrace for the Future

Tom Davenport, Author of The AI Advantage: How to Put the Artificial Intelligence Revolution to Work

While there are many key trends in how organizations are using data for progress and growth, three stand out at this moment in time: democratization, AI-assisted data management, and bottom up data management.  As organizations map their strategies to focus on the future, they’ll need to embrace these trends as critical opportunities.  Join us for this session as Tom Davenport shares what he’s learned about these trends, and why they matter now and into the future.

Interviewed by: Derek Hulitzky, VP, Content Development & Strategy, IDG Communications, Inc. 

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1:40 - 2:05 PM

Putting Analytics to Work to Manage Risk and Improve Compliance

Heather Gentile, Director of RegTech,  IBM Data and AI

In today’s business environment of sustained market volatility and ever-increasing regulations, companies need the ability to recognize and react to regulatory challenges by speeding insights, cutting costs, and increasing efficiency. IBM is leading the way in helping organizations manage risk and improve compliance. Join to hear how IBM is applying innovative capabilities and techniques to help financial institutions improve their regulatory governance, reporting, compliance and risk management.

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2:05- 2:25 PM

Tuesday’s Networking Break with Data & Analytics Discussion Groups

During this break from sessions, visit the Exhibit Hall to learn more about our sponsors, book meetings with their team and access videos, articles and more. Visit CIO Resources for a curated selection of content from cio.com and our other editorial sites. Or join a live discussion group to socialize, make new connections and share insights on a variety of topics. The groups are self-moderated, so jump in and get acquainted.

Data Democratization
AI-Assisted Data Management
My Biggest Challenges

2:25 - 3:00 PM

Building a World-Class Data Science Organization with Industrialized AI

Linda Avery, Chief Data & Analytics Officer, Verizon

While the data strategy at Verizon starts with smart architecture and good governance, the goal is to provide ready-to-use, productized data that’s easy to find and consume, can be shared as a reusable asset, and is high quality. When it comes to AI, they believe that scale is achievable by moving away from artisanal approaches in colonies to core models that create value across the organization. Join us to learn how this strategy works, the important role of digital twins in success, and why all of this is key to moving the business forward with data.

Interviewed by: Derek Hulitzky, VP, Content Development & Strategy, IDG Communications, Inc. 

 

3:00- 3:25 PM

Modern BI for All

Ben Schein, VP, Data Curiosity, Domo

In this session, a CIO.com contributing editor interviews Ben Schein, Domo Vice President of Data Curiosity, about modern approaches to business intelligence for any organization at any time. The discussion will focus on how to unlock the value of data throughout your business and ecosystem, relying on three core pillars: data agility, data literacy, and businesses then taking intelligent action on the data. The session includes a short demonstration of Domo technology.

Interviewed by: Charles Pelton, Contributing Editor, CIO

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3:25 - 3:30 PM

Accelerating Your Hybrid Analytics with Denodo

Paul Shimabukuro, Sales Engineer, Denodo

Denodo’s virtualization technology allows you to accelerate hybrid analytics by combining all of your data, including on premise and cloud sources. Using the Denodo Data Catalog, this demo will show you how you can navigate the logical layer and find the information you need quickly and efficiently regardless where it resides. By creating a consistent semantic model, you’ll be able to better understand your data across systems while making it easier to combine your disparate data sources.

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3:30 - 3:55 PM

Business and Data Architecture: Why They’re Core to Accenture’s Data Strategy

Steve Collins, Managing Director, Global IT, Chief Data Architect

The core of Accenture’s data strategy involves business and data architecture focused on key foundational elements: an enterprise data model, data architecture, data governance, and data mobilization. While all of these components are constructed to remain fluid as business and technologies adjust, the centerpiece is the organization’s data culture that places high values on data quality and integrity. Join us to learn how all of these components work together to ensure that Accenture’s data strategy is always contemporary.

Interviewed by: Derek Hulitzky, VP, Content Development & Strategy, IDG Communications, Inc. 

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3:55 - 4:15 PM

An Executive’s Guide to Data

Mick Hollison, President, Cloudera

Successful companies have already moved from 2020’s reactive state into an intentional acceleration of digital transformation for 2021. Why? They’ve already seen growth in 2020, and are willing to disrupt themselves — to go all-in on digital — in order to extend their leads. Join us for this no-nonsense, down to earth session where we’ll outline three key pillars for executives to springboard their companies to a next stage of growth and digital transformation: 1) get down and dirty with the data; 2) don’t forget the data culture and 3) establish strong standards.

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4:15pm - 4:30pm

How to Seize Your Business Moments with Active Intelligence

James Fisher, Chief Product Officer, Qlik

The faster an organization responds to events as they evolve, the better it can compete. That means arming people and systems with up-to-date, real-time information and analysis to optimize every business moment. Traditional, passive BI can’t stand up to those demands, so today’s organizations need a much more dynamic relationship with information. Join us to learn about the next era of BI – Active Intelligence — where data has high business value because it reflects the current moment.

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Improving Decision Velocity with Analytics, Automation and AI

Ray Wang, Principal Analyst, Founder, and Chairman, Constellation Research, Inc.

To compete, every company must now make faster and more precise decisions. Humans can make one decision per second, yet it often takes four to six weeks for management to analyze and approve decisions. At the same time, machines can make thousands of decisions per second, so this asymmetry creates one of the biggest challenges business leaders face – improving decision velocity. Join us to learn how this requires the “three As” — analytics, automation, and AI — to enable improved decision velocity.

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4:30pm - 5:00pm

How Morgan Stanley’s Elevated Data Strategy Helps It Serve Clients

Sigal Zarmi, Managing Director, International CIO and Head of Transformation, Morgan Stanley

Data is not only at the core of what Morgan Stanley does, but how it communicates with its clients — all of which is why they consider data a “first class asset.” To serve its clients best, they’ve elevated their data strategy around how the organization creates and owns data, where it’s located, the effect on data throughout its lifecycle, and improved use of authorities. Join us to learn about their strategy, how clouds, AI and machine learning are helping, and why these approaches give greater visibility to the quality of data.

Interviewed by: Derek Hulitzky, VP, Content Development & Strategy, IDG Communications, Inc. 

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How a 170-year-old Insurance Firm Uses Data Analytics To Assess Risk

Gareth Ross, Head of Enterprise Technology & Experience, Massachusetts Mutual Life Insurance Company

If data is the new oil, the insights that come from analyzing it – make that loads of it – are goal for companies hungry to satisfy customers and boost revenues and, ideally, profits. But as IT leaders know, data science is anything but exact and it requires a delicate balance of humans working in concert with machine learning algorithms. Join us as we discuss both the importance of and challenges to combing through decades worth of data to help build accurate and equitable risk models, as well as how the company attracts the talent required to achieving desired outcomes for customers and the business.

Interviewed by: Clint Boulton, Senior Writer, CIO.com, IDG Communications, Inc.

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1:00 - 1:05 PM

Welcome and Opening Remarks

1:05 - 1:25 PM

How Humana’s Data Strategy Improves the Customer Experience and Health for Its Members

Dalia Powers, SVP, Platform Innovation and Engineering, Humana
Eric Tagliere, CTO and SVP, Tech Advancement, Humana

With a long history in healthcare, data is naturally one of Humana’s top technology priorities to improve health across clinical capabilities including in home care, behavioral health, pharmacy services, and wellness solutions. The goal is to produce a simplified experience to make healthcare easier to navigate and more effective for members. Join us to learn how platform technologies advance this strategy with clouds, longitudinal health records, interoperability, machine learning, analytics platform-as-a-service, and virtual care products.

Interviewed by: Derek Hulitzky, VP, Content Development & Strategy, IDG Communications, Inc. 

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1:25 - 1:45 PM

Managing Risk and Regulatory Compliance with AI

Kregg White, AI Leader and Solutions Expert, IBM

The risk and regulatory landscape is constantly changing, and since every organization has a different profile, they spent different amounts of time and effort to remain compliant with current regulatory obligations. One way to remain compliant is with a process called horizon scanning, an anticipatory exercise where an organization scans the horizon for upcoming regulatory changes that affect it, understands their regulatory compliance to those obligations, and prepares for them with assessments of controls needed to remain compliant. Join us for this session to understand how AI is playing a key role in horizon scanning now, and into the future.

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1:45 - 2:05 PM

Wednesday’s Networking Break with Data & Analytics Discussion Groups

During this break from sessions, visit the Exhibit Hall to learn more about our sponsors, book meetings with their team and access videos, articles and more. Visit CIO Resources for a curated selection of content from cio.com and our other editorial sites. Or join a live discussion group to socialize, make new connections and share insights on a variety of topics. The groups are self-moderated, so jump in and get acquainted.

Creating AI Success for the Organization
Advancing Your Analytics Career
Using Agile Techniques in Your Analytics Program

2:05 - 2:30 PM

The Analytics Imperative: How Data and Analytics are Evolving for the Future

Dan Vesset, Group VP, Analytics and Information Management, IDC

Why do so many new data technologies continue to emerge? Ultimately, they’re to create better decision making. Which explains why so many startup analytics companies — adept with how to use these new technologies – are being acquired by major non-technology brands to improve decision making. Join us for this session as we demystify the process of leveraging data for better decision making. You’ll get tips on how to assess the quality of decision making in your organization, understand why silos across data, analytics and people create obstacles, and how you can overcome challenges with recommended strategic steps.

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2:30 - 2:45 PM

AI in Perspective: The Risks, Along with AI’s Role to Improve Defenses

Jeremy Smith, Global Head of IT Risk and Security, Avery Dennison

As AI deployments proliferate for better decision making, they also present risks across a large spectrum – from job displacement and socioeconomic inequality, to automated bias, to data poisoning, privacy violations, and AI threats used by bad actors. At the same time, AI itself is becoming an emerging and key ingredient for organizations to better defend against attack. Join us as we discuss how to put AI’s risks into perspective while leveraging AI for improved defenses.

Interviewed by: Derek Hulitzky, VP, Content Development & Strategy, IDG Communications, Inc. 

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2:45 - 2:55 PM

The Cloudreach Big Data Migration Tool

David Radford, Senior Cloud Data Engineer, Cloudreach

Cloudreach’s Big Data Migration Tool (BDMT) is a set of modules intended to automate large portions of data migration projects. It’s designed to convert source systems – like Hive, impala or Teradata — into target systems like Redshift, Databricks or Snowflake. Join us to see it live in action!

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2:55 - 3:20 PM

Data and Analytics Lessons All Industries Can Learn from Animal Health

Wafaa Mamilli, EVP, CIO and Chief Digital Officer, Zoetis

As a leading animal health company serving livestock farmers and veterinarians, Zoetis advances care for animals by manufacturing and commercializing medicines, vaccines, diagnostics, technologies and services — all of which includes managing biodevices and genetic testing. Innovation in animal health is data-driven as it supports the need for safe and affordable supplies of protein that’s produced more sustainably and efficiently. Join us to learn the critical role of data in the food chain, and how Zoetis is tackling this through a sound data strategy.

Interviewed by: Maryfran Johnson, CEO, Maryfran Johnson Media

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3:25 - 3:50 PM

How Data and Analytics Are Transforming an Entire Business Model

Marina Bellini, Director, Digital and Information, BAT

BAT is transforming from a traditional manufacturer of leading cigarette brands to delivering new categories of products that have a reduced impact on consumers’ health – with a goal of seeing 50 million consumers using non-combustible products by 2030. The highest levels of the organization realize this transformation can’t happen without data. Join this session to learn how BAT’s accelerating their data strategy and efforts to meet their ambitious goal, while making data accessible to the entire organization.

Interviewed by: Maryfran Johnson, CEO, Maryfran Johnson Media

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How Mastercard’s Decision Management Platform Delivers Business Value

Mark Kwapiszeski, Group EVP, Emerging Payment Technology, Mastercard
Ed McLaughlin, President, Operations & Technology, Mastercard

With 2.5 billion consumer accounts, Mastercard processes 75 billion transactions per year, thereby creating one of the best data sets about commerce in the world. To protect consumers and combat fraud, they created a decision management platform that analyzes 1.2 billion transactions per day, or 65,000 transactions per second, or 50 milliseconds per transaction. Join us to learn why speed is critical, how they’re using neural networks, case based reasoning, and AI, and why localization has become critical to their platform.

Interviewed by: Derek Hulitzky, VP, Content Development & Strategy, IDG Communications, Inc. 

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3:50 - 4:15 PM

AI in the Enterprise: Succeeding with Agile DataOps and Machine Learning

Isaac Sacolick, President, StarCIO

Recent research finds that 50 percent of companies have adopted AI in at least one business function while the other 50 percent are early in their AI journeys. How can more organizations take steps to get the culture, data, and operations ready to take machine learning and AI from ideas to proof of concepts and onto production? Join us as we share best practices in identifying business opportunities, selecting teams, applying agile methodologies, conducting POCs, and MLops that enable more organizations to succeed with machine learning and AI.

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When Data Innovation Turns a Transportation Company into a Data Sciences Company

Shaleen Devgun, EVP and CIO, Schneider

Schneider runs one of the largest over the road networks in the United States moving assets more than 10 million miles each day. To keep drivers productive and safe, and customers and shippers happy, they analyze data streaming in real time from their moving assets. All of this allows the company to make smart decisions about where their assets need to be, and to select profitable loads that are optimized within their network. Join us to learn how Schneider has evolved from a transportation company to a data science company where data is core to what they do, and data strategy is a core enabler of enterprise strategy.

Interviewed by: Derek Hulitzky, VP, Content Development & Strategy, IDG Communications, Inc. 

 

1:00 - 1:05 PM

Welcome and Opening Remarks

1:05 - 1:25 PM

GSK Takes Agile Approach To Finding Value in Data

Shobie Ramakrishnan, SVP, Head of Pharma Commercial DDA and Tech, GSK Pharma Commercial

Interviewed by: Thor Olavsrud, Senior Writer, CIO.com, IDG Communications, Inc.

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1:25 - 1:50 PM

How GE’s Data Transformation Journey is Unfolding

Nick Perugini, CIO, GE Shared Services, General Electric

GE’s on a multi-year, transformational journey with data – all driven by a data “product” strategy that included standing up a single data store, enabling shared services, delivering analytics, operationalizing business units, and ultimately delivering transformation. The supporting landscape architecture is all cloud with certified data sets, enriched by AI and machine learning, with a high-performance engine and plug-and-play architecture. Join us to learn how they put it all together, and where they’re headed next.

Interviewed by: Derek Hulitzky, VP, Content Development & Strategy, IDG Communications, Inc.

Click to watch session! 

1:50 - 2:15 PM

Thursday’s Networking Break with Data & Analytics Discussion Groups

During this break from sessions, visit the Exhibit Hall to learn more about our sponsors, book meetings with their team and access videos, articles and more. Visit CIO Resources for a curated selection of content from cio.com and our other editorial sites. Or join a live discussion group to socialize, make new connections and share insights on a variety of topics. The groups are self-moderated, so jump in and get acquainted.

Creating A Data-Driven Culture
Data Governance and Security
Advancing Your Analytics Career

2:15 - 2:45 PM

Getting It Right with Data Management, Governance and Security

Brian Mayer, Information Architecture Leader, IBM
Dan Vesset, Group VP, Analytics and Information Management, IDC

While analytics and opportunities with AI can contribute to improved business outcomes, none of them are possible without an organization establishing basic foundations for its data. Core technologies for data management, governance and security must be in place in order for an organization to reap the many rewards of valuable data analysis. Join us for this session as we discuss these foundations, how to properly put them in place, and how best for an organization to continuously operate and optimize them.

Moderated by: John Gallant, Enterprise Consulting Director, IDG Communications, Inc.

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2:45 - 3:10 PM

How Jabil’s Citizen Data Scientist Program Adds Value Throughtout the Organization

May Yap, CIO, Jabil

By democratizing the practice of data science, Jabil is enabling its most valuable asset — its people — to unlock previously untapped insights and value from its data. Jabil’s Citizen Data Scientist Program empowers employees with knowledge, tools and new problem-solving approaches, where they’re then able to incorporate data-based decision making in daily responsibilities. Join us to learn how all of this is allowing better business decisions that quickly result in improved employee productivity, more efficient processes, increased cash flow, improved risk mitigation, and more.

Interviewed by: Derek Hulitzky, VP, Content Development & Strategy, IDG Communications, Inc. 

 

3:10 - 3:35 PM

Driving Digital Success through Analytics: An IDG Editors’ Roundtable

Serdar Yegulalp, Senior Writer, InfoWorld, IDG Communications, Inc.
Isaac Sacolick, President, StarCIO
Thor Olavsrud, Senior Writer, CIO.com, IDG Communications, Inc.

What sort of culture change is necessary for analytics to play a vital role? What’s the role of the “citizen data scientist”? And how do you ensure you’ve got good data in the first place? Join us as our panelists endeavor to provide meaningful answers these questions and more. IT leaders and analytics pros alike will benefit from this session on one of the most complex areas of enterprise tech, with plenty of real-world examples to spark ideas and solutions.

Moderated by: Eric Knorr, Editor in Chief, IDG Enterprise

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3:40 - 4:10 PM

How Harman International Drives New Business Capabilities with Data and Analytics

Nick Parrotta, Chief Digital & Information Officer, Harman International

Harman International creates a variety of products for automotive systems, including an integrated ecosystem of hardware, software and services, driver assistance capabilities, telematics, and premium audio. In addition, they provide smart audio and luxury audio headphones, along with sound for boardrooms and large venues. Join us to learn about Harman’s data and analytics strategy, and how it supports new capabilities, business models and revenue streams.

Interviewed by: Maryfran Johnson, CEO, Maryfran Johnson Media

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How Avnet Leverages AI and Predictive Analytics for Efficiency

Max Chan, CIO, Avnet

To find business efficiencies across the organization, Avnet embarked on a journey to reduce costs and risks by minimizing data duplication, scaling storage and compute separately, and delivering the right data at the right time. This modernization project aimed to improve discovery and source of truth issues, create agility using appropriate access methods, reduce latency for analytics solutions, and leverage machine learning. Join us to learn how it all came together, along with the key results.

Interviewed by: Derek Hulitzky, VP, Content Development & Strategy, IDG Communications, Inc. 

Click here to watch session! 

Agenda subject to change.

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