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1:00pm
Registration, Open Networking & Lunch
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1:55pm
Chair's Opening Remarks
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2:00pm
Panel Discussion: Leading-Edge CDAOs - Overcome Cultural Barriers to Deliver Value from Data and Accelerate Growth
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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2:40pm
Presentation: Understanding your data to tell a compelling narrative
Matthew Kelly - Product, Operations & Intelligent Enterprise Officer - P33 CHICAGO
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
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3:10pm
Business Meetings & Networking Break
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4:10pm
Presentation: The Role of Advanced Analytics and Machine Learning to Prepare for the Future
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.
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4:40pm
Business Meetings & Networking Break
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Happy Hour Strategy Sessions:
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5:10pm
Understanding the cooperation between data and security
Natalia Bakhtina
Director, Cyber Security & IT ManagementBFL 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
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5:50pm
Chair's Closing Remarks
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6:00pm
Cocktail Reception
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8:00am
Breakfast and Networking
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8:35am
BUSINESS MEETINGS
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9:00am
Chair's Opening Remarks
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9:10am
Presentation: The Human Factor: Driving Vision Forward in the Data Analytics Space
Benjamin Donlon
Chief Analytics Officer
METRO UNITED WAY
- 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.
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9:40am
Panel: Designing Data as a Product: Lay the Foundation to Extract Value from Data at Scale
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
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10:25am
Presentation: Creating a successful data-driven culture by having a workforce that understands the value of data
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
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10:55am
Business Meetings & Networking Break
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11:55am
Panel: Challenges and Opportunities of Generative AI and its Implications in Data Strategy
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
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12:40pm
Presentation: Unleashing the Power of Custom Generative AI Copilots in Enterprise Environments
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
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1:10pm
Networking Lunch & Business Meetings
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2:10pm
Panel: Data Science & Innovation: Overcoming Complexity to Drive Competitive Advantage
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
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2:55pm
Strategy Session: Build a Value-Driven Data Analytics Function: Talent, People, and Processes
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
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3:40pm
Conclusion of CDAO APEX WEST 2023
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