CDAO APEX West schedule

Benjamin Donlon

Chief Analytics Officer

METRO UNITED WAY

Sam Marks

Director of Strategy & Analytics

ARIZONA COYOTES HOCKEY CLUB

Rohit Jain

Chief Information officer

HARVARD BUSINESS SCHOOL

Rohan Singh Rajput

Senior Data Scientist

HEADSPACE

Moderated by: 

Logan Havern, CEO & Founder

DATALOGZ

• Highlight the importance of fostering a data-driven culture essential to deliver growth and value amid cultural barriers
• Fostering an environment that enables self service data
• Addressing resistance to change within a large organization, and the importance of looking to the future
• Upskilling and reskilling the workforce to succeed in an evolving AI age
• How can enhanced culture and upskilling of the workforce improve business performance and data driven decision making
• Understanding the impact of a poor culture can hinder data sharing, quality and collaboration to foster new insights
• Discuss how to effectively encourage collaboration and leverage collective expertise
• The importance leadership in setting a data-driven vision for your organization
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Matthew Kelly

Product, Operations & Intelligent Enterprise Officer

P33 CHICAGO

• Creating a data driven business through generative AI
• Using data to create a compelling narrative to communicate effectively to executives and clients
• Discussing use cases to move beyond the Red Amber Green status
  
  

Jing Liu

Executive Director, Michigan Institute for Data Science 

UNIVERSITY OF MICHIGAN

• AI is making data-driven insight more powerful and more accessible, but it also demands better and more massive data.
• AI technology is advancing at warp speed, which calls for new organizational strategies for developing processes and capacities and even rethinking of mission.
• New models of collaboration will be needed between technology users, developers and policy makers, and this means new collaboration models between industry, academia and government.

Natalia Bakhtina

Director, Cyber Security & IT Management

BFL CANADA

• Improving the security of data through data governance practices in cybersecurity policies
• Ensuring proper handling, storage and disposal of data
• Keeping data safe in transit and rest
• Understanding the importance safe data has on consumer perceptions of the enterprise

Benjamin Donlon

Chief Analytics Officer

• Delve into the essential yet often overlooked aspect of data analytics: the human element
• Digging deep into the work of a Chief Analytics and Data Officers—discuss how intricately entwined with technology, algorithms, and data the role is in order to understand successful realization of the CDAO vision relies not only on the precision of computations but also on how effectively CDAOs engage teams, customers, and organizational leadership
• Explore strategies for fostering better communication, collaboration, and commitment among these vital stakeholders, demonstrating how the 'human factor' can enhance performance, innovation, and value creation in the data analytics space
• Uncover how, with a forward-looking approach that prioritizes people as much as technology, can unlock the full potential of our data-driven initiatives.

Ronak Shah

Head of Data Strategy

APNA

Tony Williams

VP, Head of Data & Analytics

AMERANT BANK

Monish Balasundaram

Head of Analytics

AMAZON

Priya Singhee

Vice President, Enterprise Analytics & Data Science

EARLY WARNING

Moderated by: 

Kaushik Chatterjee

Practice Leader and Solution Architect

DATAVAIL

• Discuss the need to view data as a product that delivers value to both internal and external users
• Strategize on developing a comprehensive data product strategy that aligns with the organization's overall business goals
• Share best practices for establishing data governance frameworks that address data privacy, security, compliance and ethics—leading to trust in data products
• Highlighting the significance of understanding user requirements, preferences and pain points when designing data products
• Explore techniques such as user research, user experience design and user feedback to drive an impactful data product

Stefanie Khan

Director of Business Intelligence & Data Analytics

UPS

• Unlock the value of data and embrace the power of analytics by upskilling high and strong potential talent with the data skills needed to solve strategic objectives and both complex and everyday business problems.
• Evolve the maturity and adoption of our technology, by investing in a workforce that understands the value of data and is empowered to challenge the norm and think outside the box.
• Create a successful data-driven culture by having a workforce that understands the value of data and feels comfortable using modern methods
• Leverage already-existing enterprise data to proactively make better decisions and draw insights

Stefanie Khan

Director of Business Intelligence & Data Analytics

UPS

Matthew Kelly

Product, Operations & Intelligent Enterprise Officer

P33 Chicago

Jim Griffin

AI Practice Lead, Business Analytics Faculty

UNIVERSITY OF TEXAS

Aaron McMaster

Director of Enterprise Data

HAGERTY

Moderated by: 

Ryan Glasunow

Senior Director

INFORMATICA

• What are some of the potential risks associated with generative AI and the need for robust ethical frameworks
• Address challenges of protecting sensitive information, ensuring compliance with data regulations, and addressing the potential vulnerabilities
• Explore strategies for implementing privacy-preserving techniques to maintain integrity and confidentiality of data
• Uncover how organizations can harness generative AI to generate novel ideas, prototypes, and insights, ultimately driving innovation and competitive advantage
• Discuss the potential of generative models to create realistic synthetic data

Jim Griffin

Business Analytics Faculty

UNIVERSITY OF TEXAS

This presentation will explore the rapidly-emerging world of generative AI copilots, custom designed for a specific company. A “generative AI copilot” is an advanced artificial intelligence system designed to collaboratively assist and augment human users in various tasks, leveraging generative capabilities to contribute actively to the creative and decision-making processes.

Key topics that will be covered in this session are:

• Recent announcements and emerging trends for these solutions
• Examples of typical use cases
• Hot to lead a generative AI project

Bryce Macher

VP Recommendation & Personalization Science,

NBCUNIVERSAL

Rahul Goyal

Sr Director

UNITEDHEALTH GROUP

Tamilla Triantoro

Associate Professor

QUINNIPIAC UNIVERSITY

Natalia Bakhtina

Director, Cyber Security & IT Risk Management

BFL CANADA

Jamal El Hindi

Counsel

CLIFFORD CHANCE, previous CDO U.S. Treasury Department

Moderated by:

David Siegel

Senior Solutions Engineer

SNAPLOGIC

• Discuss methods organizations can analyze vast amounts of data such as advanced algorithms that drive innovation
• Identifying data infrastructure that enables businesses to understand its customers, optimize operations, make data-driven decisions and meet regulatory requirements
• How to effectively use data to quickly adapt to market changes and take into account any risk and legal sensitivities
• Improving the relation between security and data to enhance accurate data driven decision making
  
  

Group A Leaders: 

Sam Marks

Director of Strategy & Analytics

ARIZONA COYOTES HOCKEY CLUB

Jennifer Mezzio

Managing Director, Divisional Data Officer Human Resources, Cybersecurity, Legal SILICON VALLEY BANK (former)

Group B Leaders:

Stefanie Khan

Director of Business Intelligence & Data Analytics

UPS

• Developing and nurturing a people-centric environment via collaboration, communication and investing in continuous learning
• Explore strategies for attracting top talent, including recruitment efforts, partnerships with educational institutions, and internal training programs
• Address the challenges of data access, data preparation, and data pipeline management
• Highlight the significance of aligning the data analytics function with the organization's strategic goals