1:00 - 1:05 PM
| Welcome and Opening RemarksLocation: Palos Verdes Ballroom
Speaker: Chris Ritchie
Chris Ritchie, Vice President, North America, Foundry, an IDG Inc. company
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1:05 - 1:40 PM
| Data’s Top 3 Trends to Embrace for the FutureTom 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 ComplianceHeather 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 GroupsDuring 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
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2:25 - 3:00 PM
| Building a World-Class Data Science Organization with Industrialized AILinda 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.
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3:00- 3:25 PM
| Modern BI for AllBen 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 DenodoPaul 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 StrategySteve 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 DataMick 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
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How to Seize Your Business Moments with Active IntelligenceJames 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 AIRay 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
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How Morgan Stanley’s Elevated Data Strategy Helps It Serve ClientsSigal 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 RiskGareth 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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