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Chief Data & Analytics Officer Fall

Accelerate Data-Driven Business Transformation
October 12-14, 2021: The Premier Virtual Summit for Data & Analytics Leaders

Online & Broadcasting Live Across North America

Access 2021 On-Demand Content Register Now: CDAO Fall 2022

CONNECT WITH DECISION MAKERS ON OUR LIVE VIRTUAL PLATFORM

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The must-attend 7th annual CDAO Fall 2021 is exclusively designed for the cutting-edge data & analytics leader, focusing on aligning data strategy with digital transformation, leveraging data analytics to increase business value; and spearheading a data-driven culture that utilizes data as an engine for growth.

  • Learn from, network, and share knowledge with forward-thinking leaders from some of the most recognizable brands in the world.
  • Hear how your peers are accelerating business transformation towards a data-driven culture.
  • Refine your strategy to employ cutting-edge technologies such as AI and ML to provide increased business value.

On cell, desktop, laptop, tablet, this event will broadcast live across North America on October 12-14.

Register Now: CDAO Fall 2022

WHY CDAO FALL 2021?

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1000+ Live Attendees

Meet Senior Decision Makers From Across The USA

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65+ Expert Speakers

Learn From Those At The Forefront Of D&A Strategy

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30+ Exhibitors

Explore Our Virtual Exhibition And Find Solutions To Your Challenges

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On-Demand Sessions

Can't Make The Whole Event? Get Selected Sessions On-Demand

2021 Speakers Include:

Bharti Rai, Chief Data & Analytics Officer, Novartis

Bharti Rai
Chief Data Officer
Novartis


Victoria Gamerman, Global Head of Data Governance and Insights, Boehringer-Ingelheim

Victoria Gamerman
Global Head of Data Governance and Insights
Boehringer-Ingelheim

Pawan Verma, Chief Data Officer, _ICBC

Pawan Verma
Chief Data Officer
ICBC

Jason Gislason, Chief Digital Officer, Chevron Phillips

Jason Gislason
Chief Digital Officer
Chevron Phillips

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Celeste Fralick,  Chief Data Scientist_McAfee

Celeste Fralick
Chief Data Scientist
McAfee


Jose Murillo, Chief Data & Analytics Officer, Banorte

Jose Murillo
Chief Data & Analytics Officer
Banorte

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Jim Tyo, Chief Data Officer, Invesco

Jim Tyo
Chief Data Officer
Invesco

Joe Vellaiparambil, Chief Data & Analytics Officer, Equitable

Joe Vellaiparambil
Chief Data & Analytics Officer
Equitable

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2021 Virtual Agenda

12:45pm - 1:30pm EST

Panel Discussion: Driving Impactful Digital Transformation in Financial Services with Data Analytics

  • The benefits of building a true digital ecosystem integrated with data-driven insights and high-impact data science
  • How to overcome challenges with compliance, data quality, and infrastructure
  • Delivering data transformation: best practices to radically change your operating models and drive business value
  • How to build trust and deepen customer relationships when the interactions are primarily digital
Moderator: Mark Cusack, Chief Technology Officer, Yellowbrick
Michael Oppenheim, VP, Data & Analytics, Discover Financial Services
Deep Ratna Srivastav, SVP, Head of Digital Solutions, Franklin Templeton Investments
Jay Franklin, VP, Enterprise Data & Analytics, First Tech Federal Credit Union
Alex Golbin, Chief Data Officer, Morningstar

Panel Discussion: Leveraging Data Analytics to Thrive in the Post-Covid-19 Economy

  • Customer interactions and expectations have dramatically changed – how can data analytics better predict behaviors and help the business thrive in this new era?
  • Balancing the need to support agile short-term business goals with long-term strategy
  • What tech stack and tools are the most impactful for this new environment in insurance?

Moderator: Meetesh Karia, Chief Data & Technology Officer, The Zebra

Joe Vellaiparambil, Chief Data Officer,
Equitable
Eugene Wen, VP, Group Advanced Analytics, Manulife Financial
Allen Thompson, VP Data & Analytics, The Hanover Insurance Group
Thomas Sowinski, VP, Solutions Delivery, Farm Credit Services of America

Panel Discussion: Delivering Data-Driven Digital Transformation to Reignite Growth in a Post-Pandemic Economy

  • Covid-19 has created the opportunity to increase investment and innovate online channels, with a solid data intelligence strategy and tech stack to support
  • Enabling intelligent decision-making to understand consumer behavior data across multiple channels
  • Provide mass customization and personalized user experiences: products, offers, pricing, and experiences
  • Optimize forecasting; data-driven e-commerce and support profitable growth at scale

Moderator: Ben Schein, VP, Data Curiosity, Domo

Suyu Hou, Director, AI/ML Platform Technology, Walmart

Patrick McGraw, Director, Analytics, North America, Colgate-Palmolive

Greg Brown, VP, UPS Global Advanced Technology Group, UPS

Ravi Parmeswar, VP, Head of Global Strategic Insights & Analytics, Johnson & Johnson

 

1:30pm - 2:15pm EST

Panel Discussion: Balancing Data Agility with Data Protection and Privacy in a Highly-Regulated Industry

  • Best practices to navigate a highly-regulated environment and ensure data privacy and protection while providing the business with self-service data capabilities
  • Increasing data literacy through on-going internal education to empower stakeholders to make intelligent decisions
  • Building robust frameworks to manage data access while ensuring the right person has the right data at the right time
Moderator: Jeff Richmond, Workload Architect Leader, Oracle
Mike Oppenheim, VP, Data & Analytics, Discover Financial Services
Patrick DeKenipp, Data Management Advisory, OMNI Digital Solutions, BNY Mellon

Panel Discussion: Balancing Data Privacy & Compliance with Hyper Personalization in Insurance

  • Consumers are embracing the data-in exchange-of-personalized-pricing trend, but at the same time, they question whether insurers can protect their data
  • How can insurers safeguard customer data and maintain compliance while delivering agile insights for personalization?
  • Balancing AI-driven self-service offers with the human touch – when should a human agent intervene?
  • Helping underwriters provide a more efficient service through augmented intelligence tools
Moderator: Mark Cusack, Chief Technology Officer, Yellowbrick
Allen Crane, Head of Information Management & Chief Privacy Officer, USAA
Daniel Marzouk, SVP, Data Science, Aegis
Christine Greenleaf, Director of Underwriting Analytics, Brighthouse Financial

Panel Discussion: Championing a Data-Driven Culture in Retail & CPG

  • Implementing a transformational data strategy by connecting data with business strategy and getting your data analytics team embedded into the business
  • Infusing more self-service BI in the data strategy
  • Promoting data literacy within the enterprise: what are the best models to help with widespread adoption?
  • How can you win buy-in to reinforce data initiatives?

Moderator: Zara Wells, Head of Data Culture and Transformation at Looker, Google Cloud, Looker
Sean MacCarthy, Executive Director, Global Analytics & Segmentation, Claire's
Fred De Letter, Director, Enterprise Data Intelligence, Domino’s
Meenal Iyer, Senior Director, Enterprise Analytics & Data, Tailored Brands
Raj Yakkali, VP, Data & Analytics, Reformation

2:15pm - 2:45pm EST

Speaker Meet & Greet


2:45pm - 3:15pm EST

Presentation: Powering Data-Intensive Applications in Financial Services


• Key characteristics of data-intensive applications in FinServ
• Data-intensive use cases and customer examples
• Solving for data-intensity with SingleStore
• How we are powering some of the most data-intensive applications within Financial Services

Jordan Tigani, Chief Product Officer, Singlestore

2:45-3:30pm Roundtable: Revolutionizing Insurance with AI & Advanced Analytics

  • How to measure and evaluate the impact of the most promising AI-driven initiatives
  • Creating new capabilities to optimize every function across the insurance value chain
  • From customer personalization to fraud prevention and claim program innovations, what are some successful use-cases of AI & advanced analytics in insurance?
  • Tackling scalability and building on successful use cases
Jerry Gupta, SVP, Digital Catalyst, Swiss RE
Satish Padiyar, VP, Data & Analytics Solutions, Blue Cross Blue Shield TX
Srinivasan Sankar, AVP, Enterprise Data Leader, The Hanover Insurance Group

Presentation: Drive Customer Delight (and Revenue) with Real-Time AI and ML

• Leverage automation and machine learning to turn real-time data into actionable insights
• Use data science to innovate the customer experience, and uncover new business opportunities
• Learn how to get AI working in your organization, without being a tech titan already
• Learn to accelerate and de-risk AI use case ROI

Paul Hardy, EVP of Professional Services, Ironside
Kevin McGee, Senior Data Scientist, Ironside

3:15pm - 4:00pm EST

Roundtable: Scaling AI and ML Effectively to Promote Innovation Across Business Lines


• AI is revolutionizing how consumers and companies manage their finances
• What are some of the best use cases of AI and ML in banking? From chatbot assistants to fraud detection and task automation
• How can organizations create an AI and machine learning group that is aross-enterprise and works with all business lines?
• Promiting AI trust and ethics across the enterprise

Rashu Garg, SVP, Enterprise Head of Data Products - AI/ML Driven Solutions, Regions Bank
Carl Gold, Senior Data Science Leader, Migo
Natesh Arunachalan, Senior Data Scientist, Finicity

3:30-4:00pm Speaker Meet & Greet

Roundtable: Structuring High-Performing Data Analytics Teams to Increase Business Value

• Align the analytics team mission and structure with your data strategy
• Identify, upskill and retain internal talent
• The ideal make-up of your data analytics team; what profile and skillsets do you truly need and how do you combine them to optimize performance?

Prabhu Chandasheckar, Director, Data Foundation, Management & Integration, Advanced Autoparts
Laks Meyyappan, VP Data Science, CVS Health
Edward Dobbles, VP, Advanced Analytics, Diageo
Tom McGuire, Global ERP Deployment Lead Finance Reporting & Analytics, Cargill

4:00pm - 4:30pm EST

Speaker Meet & Greet


9:00am - 9:30am EST

Presentation: Progressing the Data-Driven Digital Transformation Agenda Post-Pandemic

  • Next steps data leaders need to take to progress their digital transformation journey successfuly
  • Accelerating cloud migration, AI and ML, while ensuring data integrity and data trust
  • Maintaining a seat at the table for all of the digital transformation decision-making
Bharti Rai, Chief Data & Analytics Officer, Novartis
9:30am - 10:00am EST

Presentation: Data is a Hot Mess. So Let’s Cook

We all know that business data can be chaotic. Often the way we deal with this complexity is to put limitations in place. But what if we could find ways to embrace the chaos rather than fight it? In this session, we’ll explore how modern BI governance can actually create space for data exploration—and share some of our lessons learned for best-practice management of the data mess.

Ben Schein, VP, Data Curiosity, Domo
10:00am - 10:45am EST

Panel Discussion: Addressing AI Explainability, Trust and Ethics to Promote Positive Business Impact

  • Ensuring that your Training Data is accurate, bias free and trustworthy
  • Successful practices to tackle bias and improve model outcomes
  • Promoting accountability for tracking and communicating the lineage of AI-driven outcomes and stress testing models
Moderator: Shilpi Agarwal, CEO & Chief Data Ethics Officer, DataEthics4All
Celeste Fralick, Chief Data Scientist, McAfee
Haroon Abbu, VP, Digital, Data & Analytics, Bell & Howell
Dan Power, MD, Data Governance, Global Markets, State Street
Sean Otto, Director, Analytics, AES
10:45am –11:15am EST

Speaker Meet & Greet


11:15am – 11:45am EST

Collaboration Keynote: Data & IT - Key Elements of a Successful CIO and CDAO Partnership: Delivering Business Value

  • A CIO and CDAO need each other to drive transformation in data and technology strategy
  • How can CIOs and CDAOs develop a meaningful and high-performing partnership to deliver business value at scale?
  • Aligning data strategy and technical architecture to ensure agility and business continuity
  • Delineating responsibilities and synergy between both teams

Jason Gislason, Chief Digital Officer, Chevron Phillips
Allison Martinez, Chief Information Officer, Chevron Phillips


11:45am – 12:15pm EST

Presentation: Novartis: Delivering Augmented Intelligence at Scale

AI-driven augmented analytics is helping democratize data across the organization as well as put data science insights into the hands of business analysts. Learn how Novartis:

• Employs augmented intelligence to accelerate the journey from hindsight to insight to foresight
• Focuses on business and user needs to support a multi-platform strategy
• Scales AI-assisted analytics to the enterprise for maximum impact
• Tackles the challenge of analytics-ready data through a structured approach of reusable data assets

Axel Goris, Global Visual Analytics Lead, Novartis
Alvin Wong, Head of Marketing, Tellius

Presentation: How Doordash Delivers on Data: Reducing Risk and Achieving Compliance

Attend this session to learn how DoorDash partners with BigID to proactively leverage data classification to protect sensitive data for compliance, security, and analytical programs. You’ll learn how Doordash:

  • Manages and protects high volumes of restricted and sensitive data
  • Leverages machine learning and next-gen data classification to get visibility and control over their data
  • Balances multiple global regulatory requirements across their environment
  • Automates data management across different vendors, sources, and types

    Akshat Nair, Engineering Manager, Doordash
    Peggy Tsai, VP Data Solutions, BigID
12:15pm – 1:15pm EST

12:15-12:45pm Speaker Meet & Greet 

12:45-1:15pm Lunch Break


1:15pm –1:45pm EST

Presentation: Using Your Data Warehouse For More Than Analytics

You just bought a data warehouse like Snowflake. Now what? If you’re only using it for dashboards, then you’re not reaching its full potential
• The best teams are syncing data from their warehouse to business tools like CRMs, Email tools and Ad Networks using Reverse ETL
• With data in their tools, business teams can leverage data models to have a 360 view of customers and make data-informed decisions & workflows across Marketing, Sales & Success

William Tsu, Customer Success Operations, Blend
Kashish Gupta, Co-Founder &Co-CEO, Hightouch


1:45pm – 2:30pm EST

Panel Discussion: Overcoming the ROI Challenge on AI & ML Initiatives to Secure Long-Term Investment

• Data analytics leaders have secured buy-in for AI & ML projects due to the promise of delivering agile insights and business value at scale
• While business stakeholders’ expectations are partly due to the AI hype, there is also a challenge of proving the real value of initiatives as fast as the business expect
• Is there a right balance between the emphasis on AI tools, technologies and models, vs ensuring teams spend enough time on measuring incremental value of AI projects?
• Balancing short-term wins with long-term success
• Key steps towards addressing and improving return on investment

Moderator: Aparna Dhinakaran, Chief Product Officer, Arize
Besa Bauta, Chief Data Officer, MercyFirst
Ram Singh, Chief Analytics Officer, Performics
Korri Jones, Senior ML engineer, Chick-Fil-A
Claire Gubian, Global Head of Business Transformation, Dataiku


2:30pm – 3:00pm EST

Presentation IBM & Cloudera: Hybrid Cloud and the Power of Possibilities

You should be able to quickly and easily access and analyze all your data, no matter where it resides, to make smarter, data-driven decisions and more effectively meet the demands of today’s hyper-competitive business climate. A hybrid data cloud makes this a reality. Join this session to learn:

• Why hybrid’s time is now, and why it should matter to you
• How the right hybrid cloud strategy enables agility at scale
• How to unlock value through hybrid cloud

Nadeem Asghar, VP, Solutions Engineering and Industry Solutions, Cloudera
Omkar Nimbalkar, VP, WW Hybrid Cloud Build Team, IBM


3:00pm – 3:30pm EST

Speaker Meet & Greet


3:30pm – 4:15pm EST

The CDAO Function – What Organizational Structure is Best for Success?

  • What are the pros and cons of the CDAO function sitting within IT vs. other organizational structures?
  • What reporting lines have proven to offer CDAOs the most exposure to the business, the most freedom and the greatest opportunities to influence and have an impact?
  • How can leaders mature their strategic position in order to maintain a seat at the table,ultimately reporting directly to the CEO?

Olga Sudvarg, Chief Operating Officer, Global Head of Data Advisory, Invesco
Krishna Karuturi, Sr Director, Computational Sciences, The Jackson Laboratory, USA
Stephen Gatchell, Head of Data Enablement, Bose Corporation

Roundtable: Building Trust and Accelerating your AI Journey with DataOps and MLOps

• Digital transformation and leveraging AI requires organized and trusted data that is business-ready for analytics and model building
• Leverage the power of automation with DataOps to deliver trusted data throughout your organization
• Increase data management efficiency, such as accessing, onboarding, preparing, integrating and making data available
• Organized unstructured and structured data to be trusted and business-ready for AI

Shadaab Kanwal, MD, Digital, Data & Analytics, Charles Schwabb
Arka C, Senior Director, Data Science & Analytics, University of Virginia
Shiv Rajagopalan, Senior Director, DataOps, GE Healthcare
Suyu Hou, Director, AI/ML Platform Technology, Walmart

4:15pm - 5:00pm - EST

Business of Data Panel Discussion: 2022 Data Strategy Priorities US

  • What 100 Data, Analytics and AI Leaders from the US and Canada are Prioritizing as They Update Their Strategies for 2022
  • Joining us in a panel discussion are the contributors from one of our latest Business of Data Reports.
  • Together we will discuss: The Journey to AI Maturity. Enabling AI-Driven Business Transformation & Driving Culture Change and AI Adoption

Moderator: Catherine King, Director, Business of Data

Bharti Rai, VP & Head, Data, Insights and Analytics, Commercial Operations, Novartis Pharmaceuticals US

Maryam Ashoori, Director, Product Management, Data & AI Strategic Partnerships, IBM

Sean MacCarthy, Executive Director, Global Analytics and Store, Segmentation, Claire’s

Vijay Venkatesan, Chief Analytics Officer, Horizon Blue Cross Blue Shield of New Jersey

Ali Baja, Director Partner Solution Engineering, Cloudera, Cloudera

 


5:00pm - 5:30pm EST

Speaker Meet & Greet


9:00am – 9:30am EST

Collaboration Keynote: Data & Marketing - Case Studies to Create a Customer-Centric Strategy

  • Invesco’s CMO and CDAO have partnered to deliver data-driven customer-centric products across the enterprise
  • Case study 1 – Living Your Mission – Invesco’s mission to be the most client centric firm in the industry, brings with it certain expectations on how data must be leveraged to succeed

  • Case study 2 – The Transformation(s) – Moving from strategy, from principles, from talking, to delivering is never as smooth as you would like, geographically, organizationally or operationally.  Focus, collaboration, continued education and moving from theory to quick delivery of business value are key drivers

  • Case study 3 – Deliver at Scale – Re-inventing many aspects of the business, organization and data together, requires a common thread to weave into a fabric that can be scaled globally, but consumed and deployed regionally.

Jim Tyo, Chief Data Officer, Invesco
Emily Pachuta, Chief Marketing & Analytics Officer, Invesco


9:30am – 10:00am EST

Presentation: Addressing Business Vulnerabilities with a Digital Twin Powered by Graph Analytics

Data is the lifeblood of every successful business. It runs on an ecosystem of databases and applications that track and process information about orders, suppliers, production, deliveries and more. This ecosystem allows a business to control every aspect of operations. However, even as it empowers a business, an increasingly complex infrastructure of databases and applications can become a potential vulnerability that leads to failures. With such a complex data flow, where tens of thousands of data jobs are running every day, a failure can impact myriad business critical data jobs downstream. Where are they? How can I understand the impact before a failure?

In this presentation, Todd Blachska will examine how graph analytics can provide business leaders with a significant advantage in building a digital twin of its operations, providing the resilience it needs to prevent calamities that leave lesser competitors crippled.

  • Model What-If scenarios, as well as identify data job failures in real-time
  • Develop a digital twin to map your physical assets and pipelines using graph technology
  • Understand the connectivity and dependencies within your complete network, creating a representation that is updated with real-time data, and uses simulation and machine learning for root cause analysis, risk analysis, sales forecasting, supply chain optimization, and more.

 

Todd Blaschka, Chief Operating Officer, Tigergraph


10:00am – 10:45am EST

Panel Discussion: Creating a Single Source of Truth: Data Integration – What does the Future Hold?

  • How can data leaders ensure successful data cataloguing across data providers and build a data platform that can be used across the enterprise?
  • Best practices to feed data to multiple platforms across different business units and user personas
  • Is the single source of truth still the holy grail of data when we look to the near future? Is it still worth pursuing even with more widespread high-speed processing technology?

Moderator: Catherine King, Director, Business of Data
Laura Malins, Director of Product Management, Matillion
Vijay Venkatesan, Chief Data & Analytics Officer, Blue Cross Blue Shield NJ
Ishita Majumdar, VP, Data & Analytics Platform, eBay
Andrew Sohn, VP, Enterprise Data, Inspire Brands


10:45am –11:15am EST

Speaker Meet & Greet


11:15am – 11:45am EST

Presentation: Data-Driven Revenue Generation: Boosting Sales Effectiveness with AI-Powered Insights

  • How are cutting edge organizations deploying AI and advanced analytics to advance sales growth, efficiency, and effectiveness?
  • Specific use-cases from demand forecasting, lead generation, customer lifetime value, dynamic price setting and more
  • Designing and deploying AI-driven sales solutions: foundational steps and key elements of success to achieve data-driven revenue
Amarnath Lingam, Head of Enterprise Advanced Analytics & Data Science & AI, CDW

Presentation: Leveraging Data Insights and IoT to Drive Business Innovation

  • Transforming IoT event streams into business-ready data to derive actionable insights
  • Automating business processes with intelligent robotic process automation
  • Identifying opportunities for innovation and business transformation with IoT data
Michael Cavaretta, Head of Manufacturing Analytics, Ford
11:45am – 12:15pm EST

Presentation How to Close the Gaps in the Data Supply Chain
Demand for real-time data analytics has never been greater, but neither has the need to ensure that data is properly protected. However, the process of moving from raw data to consumption-ready data can be complicated and inefficient, which can hinder data-driven initiatives and decision-making. New research from Immuta and 451 Research shows that imbalances in the data supply chain could pose risks to data initiatives in today’s DataOps-driven world.

Join us for a breakout session with Immuta's Director of Product Marketing Rahul Dabke, where you'll learn:

  • How the evolution of data usage and technology has created new data management challenges
  • Why gaps have emerged in the data supply chain and who is most impacted by them
  • What sets organizations that are best able to compete with data apart from competitors
  • Recommendations and best practices for leaders looking to improve data practices and data-driven results
Rahul Dabke, Director of Product Marketing, Immuta

Presentation: Stitching Together your Logical Data Fabric for Increased Business Agility

Are you sitting on data gold but struggling to leverage its value? Companies are continuously collecting data and finding innovative ways to store it. But how do we unify our data silos to generate valuable insights? Logical Data Fabric stitched together with Data Virtualization holds the answers to many of the questions. In addition, this approach to data management will increase the agility and speed to market your data product.

Attend this session to learn:

  • What constitutes Logical Data Fabric and the underlying modern infrastructure
  • Why choose a Logical vs. a Physical data architecture
  • How leading companies are using Logical Data Fabric for improved business agility
Ravi Shankar, SVP & Chief Marketing Officer, Denodo

12:15pm – 12:45pm EST

Collaboration Keynote: Data & Technology - Modernizing IT Infrastructure to Boost Advanced Analytics at Scale

  • How can a CDAO and CTO drive continued growth of digital platforms and connect all elements of operational technology with data strategy?
  • Partnering to design an architecture that best supports agile decision-making enterprise-wide
  • Laying the technology foundation to enable machine learning, artificial intelligence, and edge computing

Lakshman Meyyappan, VP Data Sciences, Retail, CVS Health
Karthik Kirubakaran, Sr. Director, Data Engineering & Data Strategy, CVS Health


12:45pm - 1:15pm EST

Speaker Meet & Greet


1:15pm – 1:45pm EST

Presentation: A Practical Guide to Implementing Effective BI Governance

Organizations continually fail to generate ROI on their governance initiatives because they are too narrow in scope. To be effective, Business Intelligence (BI) governance must cover both data and visualizations. This presentation will provide a practical step-by-step guide for implementing effective BI governance and a toolkit for addressing the three critical aspects of any program:

  • People - Roles and responsibility in the governance process
  • Process - A matrix to map out the right process for each type of information asset
  • Technology - The essential components required in your technology stack

Mike Smitheman, VP Sales & Marketing, Metric Insights


Presentation: Why Governed Data Sharing Is Critical To Your Analytics Initiatives?

Enterprises aspire to be data-driven in order to improve decision making and achieve desired business outcomes but the data to the insights value chain is fractured.

In this session, learn how Governed Data Sharing, a new paradigm in data governance from Privacera, drives latency out of the analytics process without compromising data privacy or security and empowers enterprises with faster access to trusted data by:

  • Organizing discrete data sets into functional data domains
  • Aligning competencies of the various personas involved in the analytics and governance process
  • Reducing the operational burden on IT teams
Vincent Goveas, Director of Product Management, Privacera
1:45pm –2:30pm EST

Championing Diversity, Equity and Inclusion in Data Analytics

  • Aligning the organization around a diversity mindset in hiring, training, and retaining data & analytics talent
  • Structuring diverse career paths to retain top talent
  • Nurturing young talent to ensure diversity; partnering with organizations and academia for long-term results
Jared M. Nunes, Executive Director, Informatics & Analytics, MemorialCare
Devshree Golecha, VP of Data, Analytics and Data Governance, TDECU
Andrea Arias, Global Data Science and Bioinformatics Lead, Corteva

The Journey To Data Democratization: Enabling a Real-Time Enterprise

  • Organizations today are beyond the point of too much data, and often with too few insights
  • How can data analytics leaders leverage AI to promote widely accessible data for real time business decisions?
  • While there are no plug-and-play solutions to data democratization, what are the technologies that currently present the best value proposition?
Jim Tyo, Chief Data Officer, Invesco
Andrew Sohn, VP, Enterprise Data, Inspire Brands
Larry Shiller, Chief Data & Analytics Officer, Rising Stars Foundation
Joe Dos Santos, Qlik
2:30pm – 3:00pm EST

Presentation: Building a Path to Data Intelligence

In order to build a trusted brand, organizations must employ a data strategy that transforms compliance initiatives into data intelligence. True data intelligence builds upon compliance, and extends to the people, processes, and technology involved in the use and transformation of data into tangible business value.

In this session, we’ll discuss how organizations can build a path towards data intelligence with a central platform built to:

  • Integrate data privacy and security across a single codebase to enable the re-use of data and existing compliance initiatives for core governance capabilities
  • Leverage AI/ML driven discovery and classification to create an accurate picture of your data fabric with regulatory context
  • Embed policies into your data inventory to control data access, retention, and use based on up-to-date regulatory research
Matt Helmrath, Data Governance Consultant, Onetrust
3:00pm – 3:45pm EST

Panel Discussion: Overcoming the Talent Gap in Data & Analytics

  • The talent shortage in data analytics is a pressing challenge for leaders striving to advance their data-driven transformation agendas. What are some of the best ways to overcome this gap?
  • Focused and targeted reskilling – leveraging existing employees’ skill sets to fill existing job openings
  • The ideal make-up of your data analytics team – can technology replace any of your open roles combined with upskilling of existing talent?
  • Strengthening partnerships with academia and the startup ecosystem to tap into the most relevant talent in the field
Moderator: Maisa Roberts, Conference Director & Head of Programming, CDAO Fall - Corinium
Ryan Sullivan, Director of Staff, Department of the Air Force Chief Data Office, United States Air Force
Justin Smith, Senior Director, Advanced Analytics, St. Luke's Health System
Siva Kumpatla, Global Leader, Emerging Technologies & Strategic Partnerships, Corteva
3:45pm – 4:15pm EST

Speaker Meet & Greet


CDAO Fall Virtual: Download Agenda

THE BEST-IN-CLASS LIVE VIRTUAL EXPERIENCE FOR DATA & ANALYTICS LEADERS

  • Register to join us for this unique virtual event! Receive log-in details to join virtually.
  • CDAO Fall is not another generic ‘big data’ event, but rather tailored content specifically for those leading their organization's data and/or analytics strategy. Learn from other leaders’ journey: how have they successfully aligned data strategy with digital transformation?
  • Take part in high-level seniority peers: strategize with senior leaders on core industry challenges and get back with an action plan.
  • Establish an understanding of your role maturity what you can do to move forward in your journey.

Join us using only a laptop or mobile device and an internet connection, take part regardless of where you are in the world - CDAO FALL is accessible to a national, and global, audience.

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Online Streaming: A quality agenda featuring content focused on best practices for current challenges and initiatives - streamed live, ‘as-live’ or via on-demand presentations.
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A Virtual Interactive Expo: The virtual exhibition hall allows for engaging demos on the best tools and technologies, live chat between sponsors and delegates, scheduled meetings and access to downloadable content.

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An Exciting, Real Time Conversation with your Peers: Engage and network with top industry leaders in North America, plus have fun and win prizes! Get involved with Q&A, use the intuitive chat capability, take part in interactive games, competitions and social media shout-outs.
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Meet the Speaker: Inclusive Q&As with selected speakers will take place across the conference where delegates can deep dive into further discussions with the speakers.

 

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Exclusive VIP Discussions: Elite invite-only sessions with speakers and other senior global leaders.
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Networking Sessions – 1-2-1 and Group: The virtual D&A: Live will allow delegates, sponsors and speakers to network with 1-2-1 meetings and group sessions.
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Online Workshops & Virtual Side Events: Group spaces will allow for more collaborative experiences with presenters on video and better group interaction.

Register Now for CDAO Fall Virtual 2021

Register Now for CDAO Fall Virtual 2021

Gain VIP Pass

  • CDAO Fall is Corinium's Flagship event, in its 7th edition and is one of the largest virtual gatherings of Data & Analytics Professionals with tailored content specifically for those who are leading their organization's data and/or analytics strategy. 
  • Take part in high-level seniority peers: strategize with senior leaders on core industry challenges and get back with an action plan.
  • Establish an understanding of your role maturity what you can do to move forward in your journey.

Join us using only a laptop or mobile device and an internet connection, access content regardless of where you are - CDAO Fall is accessible to a national, and global, audience.

If you are using Internet Explorer and the registration option is not appearing for you, please Register Here.


Join the Conversation #CDAOFall

Gain VIP Pass

  • CDAO Fall is Corinium's Flagship event, in its 7th edition and is one of the largest virtual gatherings of Data & Analytics Professionals with tailored content specifically for those who are leading their organization's data and/or analytics strategy. 
  • Take part in high-level seniority peers: strategize with senior leaders on core industry challenges and get back with an action plan.
  • Establish an understanding of your role maturity what you can do to move forward in your journey.

Join us using only a laptop or mobile device and an internet connection, access content regardless of where you are - CDAO Fall is accessible to a national, and global, audience.

If you are using Internet Explorer and the registration option is not appearing for you, please Register Here.


Join the Conversation #CDAOFall

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