San Francisco CDAO Executive Summit

It isn’t that the wine industry doesn’t have data. It’s that, so far, most wine businesses haven’t been making the most of it to help improve their bottom line, or to more effectively engage with consumers. One company plans to change that. Join Enolytics’ co-founder, Cathy Huyghe, for a wine tasting unlike any other. Learn about the data footprint behind each bottle we’ll taste, and how data can help tell a better story — and do better business — in any industry.

In this session you will:

• Discover how Enolytics aggregates data to assemble the puzzle pieces of consumer behavior and sentiment
• Learn how to utilize the art of storytelling with data to communicate powerful insights
• Sample local wines as an “experiential aid” to the content

In this networking lunch you have the opportunity to have relevant and topical conversations with your peers. The below questions are a guideline for you to start your table conversations.

• Data/analytics strategy
  • What is the next multi-million dollar question you want to answer with your data?
  • What organizational or governance challenges are hindering your next milestone?
  • How is your organization striking a balance between legacy tools and emerging technologies?
• Data-driven culture and communication
  • How are you promoting data literacy within you organization?
  • How are you balancing data governance and the need for self-service access to data?
  • How do you communicate the value of data to different departments within your organization?
• Data democratization and self-service
  • How are you managing the flow of data through your organization?
  • How is your organization weighing self-service with data governance?
  • How can data leaders promote self-service analytics and educate data users?
• Data security and privacy compliance
  • How are you managing data-related risk when working with third-party vendors?
  • When implementing a hybrid (on prem vs. cloud) strategy, how are you managing the data?
  • How are you approaching a global data strategy while also adhering to regional privacy regulations?
• AI and machine learning
  • Prior to AI/ML, what should data leaders be focusing on?
  • What metrics are you using to measure success after deploying AI/ML?
  • What AI/ML challenges do you need to overcome next?

Despite having access to a wealth of data, enterprises still struggle to effectively deliver trusted insights to the entire workforce—preventing them from realizing the full value of their data investments. Overcoming this challenge takes pervasive adoption of trusted analytics.

This session will cover:

• Mastering the next wave of Enterprise Intelligence with zero-click analytics
• Empowering your workforce to get more from tools they use, every day
• Using mobile productivity apps to impact every business role and function

Join this session to learn and expand on the key, actionable themes discussed during today's roundtable boardroom discussions.

While growth from mergers and acquisitions is overall good for an organization, integrating disparate systems can pose quite the challenge. Learn how ABInBev is using new technologies to solve these issues and improve customer experience.

• Use cases for successful cloud journey
• Benefits from these technologies and how to measure their success
• Personalization and privacy issues to mitigate a poor model roll out

Enterprises aspire to maximize their return on investment from data, and to quickly take advantage of the latest innovations in analytics, mobility, cloud, and AI/machine learning. Yet too many organizations struggle with disparate data systems, inconsistent data, closed architectures, and tools that only empower a fraction of the workforce. In this peer-driven discussion, discover:

• What industry leaders are doing to overcome these challenges and transform their businesses
• How to apply the right tools and structure to balance counteractive forces, such as agility vs. governance
• How to empower individuals and teams with access to those tools, while establishing a single version of truth

Executive boardrooms are intimate and interactive sessions designed to foster dynamic dialogue around a specific, strategic topic. These private, closed-door discussions encourage attendee participation and are limited to 15 attendees (seating priority is given to CDO executives). To reserve your seat, please contact your event Program Manager; Clay Gartner at Clayton.Gartner@evanta.com.

Many organizations become enamored with AI capabilities, but fail to determine the most strategic value drivers. Integrating AI into an organization is a substantial undertaking for many organizations and true case studies are hard to come by. This discussion will explore real-world examples and how to democratize AI into your organization.

In this boardroom, you’ll discuss:

• Discover the latest updates and use cases for AI ecosystems
• Find out best practices in democratizing AI in an organization
• Learn how to measure ROI in AI projects

Executive boardrooms are intimate and interactive sessions designed to foster dynamic dialogue around a specific, strategic topic. These private, closed-door discussions encourage attendee participation and are limited to 15 attendees (seating priority is given to CDO executives). To reserve your seat, please contact your event Program Manager; Clay Gartner at Clayton.Gartner@evanta.com.

Analytics have become paramount to a company's success and achieving a competitive edge over the competition. To build a quality team, data leaders need to understand the necessary skills and roles, and what evolution data will take to keep your team relevant and revenue generating. Hear from Electronic Arts on how to hire and retain talent.

This session will explore:

• Teaching a ‘player first’ mindset to align the business to the team
• Strategies for visual storytellers with data and how to replicate
• The future of the data team and aligning with IT

Enterprises in every industry are striving to adopt Artificial Intelligence (AI) and Machine Learning (ML). However, with so much hype around these technologies it can be challenging to chart a clear path forward.

In this boardroom, you'll discuss:

• Common mistakes to avoid as you build AI / ML solutions
• Which foundational elements are required for success with AI/ML
• What it takes to develop solutions that drive competitive advantage

Executive boardrooms are intimate and interactive sessions designed to foster dynamic dialogue around a specific, strategic topic. These private, closed-door discussions encourage attendee participation and are limited to 15 attendees (seating priority is given to CDO executives). To reserve your seat, please contact your event Program Manager; Clay Gartner at Clayton.Gartner@evanta.com.

The advent of ML and AI requires data to enable a client focused, data-driven, journey. Yet, under existing and emerging global privacy laws such as the California Consumer Privacy Act (CCPA), the use of data for secondary analytics purposes is becoming more restricted.

In this session, we will discuss:

• How to responsibly process client information in a data-constrained landscape
• Strategies for maintaining compliance and leveraging data to create a competitive advantage in the marketplace
• How companies are overcoming challenges and preparing for future regulations

Executive boardrooms are intimate and interactive sessions designed to foster dynamic dialogue around a specific, strategic topic. These private, closed-door discussions encourage attendee participation and are limited to 15 attendees (seating priority is given to CDO executives). To reserve your seat, please contact your event Program Manager; Clay Gartner at Clayton.Gartner@evanta.com.

Gone are the days when data insights were limited to data scientists and analysts. In data-driven organizations, there is a need for everyone to make decisions using data. Democratizing data is a people, process, and technology puzzle.

In this session, you’ll discover:

• Technology aspects related to building blocks for self-serve data
• Process aspects related to automating data quality & governance
• People aspects related to org design, skillset shifts and data literacy