This episode of the D-Suite delves into the complexities of managing innovation in data and analytics, with a special emphasis on AI projects. The discussion provides valuable insights for data and analytics leaders on understanding the importance of aligning innovation with business priorities, focusing on value over tools or techniques, and exploring new ways of funding potentially high-return initiatives.

The main topics covered include:

• The need for chief data and analytics officers (CDAOs) to strike a balance between delivering immediate results and investing in innovative projects that may have longer-term payoffs
• Constantyn’s unique approach of running his team like a startup within a large corporation, focusing on delivering value and gaining stakeholder buy-in
• The role of change management, communication and talent management in innovation

Constantyn Chalitsios is the chief digital officer at Westlake, leading the AI and digital program driving digital innovations to reimagine products and processes. Constantyn has over 30 years of industry experience and expertise in manufacturing, R&D, engineering and supply chain. He holds master’s degrees in electronics and robotics, along with an MBA in finance and nine patents in applied nuclear physics applications.

Michael Gabbard is senior director for Gartner’s data and analytics leadership and value research team. He focuses on major operational concerns for the office of the CDAO, including strategy development, operating model design, organizational structure, delivery model, information architecture and business architecture for data and analytics. Michael helps Gartner clients develop and maintain operational excellence for their data and analytics functions.

Please subscribe and share the episode with your colleagues. Thank you for listening. Gartner Podcasts are a production of Gartner, the world's leading research and advisory company. Equipping executives across the enterprise with indispensable insight, advice, and tools to achieve their mission critical priorities. You can learn more at Gartner.com.

All content in Gartner Podcasts is owned by Gartner and cannot be repurposed or reproduced without Gartner's consent. Gartner is an impartial, independent analyst of business and technology. This content should not be construed as a Gartner endorsement of any enterprise's product or services.

All content provided by other speakers is expressly the views of those speakers and their organizations.

In this episode of the D-Suite, hosts Rita Sallam and Afraz Jaffri discuss the complexities of using generative AI, including the risks of unintended outputs, the impact on the workforce due to automation, and the necessity of enforcing ethical principles across all AI projects.

The episode features insights from Lydia Clougherty Jones, a Gartner expert in data sharing, ethics, and guidelines; and Giles Pavey, global director for data science at Unilever, who shares his experiences and best practices in implementing responsible AI.

Lydia Clougherty Jones is a senior research director analyst in Gartner’s Data and Analytics (D&A) Group. She helps clients drive optimal stakeholder, business and equity value from D&A and AI, including generative AI (GenAI), with a focus on the emerging leadership role of the chief data and analytics officer. She also helps clients navigate global AI and GenAI regulatory dynamics and business impact. Topics she discusses with clients include D&A strategy, GenAI risk, data sharing for business benefit, data/digital ethics, data/D&A value, and D&A and AI risk. Her research interests cover ecosystem-relationship thinking, including via emerging digital trust technologies such as GenAI, metaverse, blockchain and smart contracts. She holds degrees from Boston College (B.A.), Boston University (J.D.) and New York University School of Law (LL.M.). She is also an adjunct professor of law at Vanderbilt Law School and Boston University School of Law.

Giles Pavey is global data science director at Unilever, with a companywide mission to raise both the “floor” of knowledge of AI and data science and also increase the “ceiling” of capability. He also leads Unilever’s thinking on AI Assurance.

Prior to Unilever, Giles worked for the U.K. Government and dunnhumby, where he set up and led the company’s data science team. At dunnhumby, Giles worked with grocery retailers including Tesco, Kroger, Casino and Woolworths across five continents.

Giles is visiting professor in computer science at the University College London AI Lab and Industrial Fellow at the Oxford University School of Mathematics.

Please subscribe and share the episode with your colleagues. Thank you for listening. Gartner Podcasts are a production of Gartner, the world's leading research and advisory company. Equipping executives across the enterprise with indispensable insight, advice, and tools to achieve their mission critical priorities. You can learn more at Gartner.com.

All content in Gartner Podcasts is owned by Gartner and cannot be repurposed or reproduced without Gartner's consent. Gartner is an impartial, independent analyst of business and technology. This content should not be construed as a Gartner endorsement of any enterprise's product or services.

All content provided by other speakers is expressly the views of those speakers and their organizations.

In this episode of the D-Suite, Gartner experts share their data, analytics and AI predictions for 2024 and beyond. In the second part of this episode, we show insights from Ericsson’s head of AI and automation, Rickard Wieselfors, on the role of generative AI (GenAI) for digital transformation.

The predicts featured are:

• 00:00:54 By 2026, 75% of CDAOs who fail to make organizationwide influence and measurable impact their top priority will be assimilated into technology functions.
• 00:05:54 By 2026, 90% of organizations will suffer more than 10 production-impacting events annually due to insufficient GenAI skills and testing investments.
• 00:09:33 By 2025, use of natural language as a primary data management API will be the dominant interface leading to a 100x consumption of data across the ecosystem.
• 00:13:22 By 2025, 90% of current analytics content consumers will become content creators enabled by AI.

Jorg Heizenberg is a Gartner VP Analyst in D&A CDAO Leadership and Operations. Jorg explores data and analytics (D&A) trends and best practices with a human-centric focus. His primary coverage areas are the D&A strategy and operating model; data-driven culture and behavior; D&A organizations, roles, and skills. He has a background in D&A business and technology consulting with over three decades of experience in planning, designing, and implementing D&A. His motto: D&A is about people!

Ehtisham Zaidi is a Gartner VP Analyst in D&A Data Architecture and Solutions. Ehtisham focuses his research on data management architecture and solutions. His coverage areas include data fabric architectures, data mesh operating models, data engineering as a discipline, and data integration architecture and technology. His recent research focus has been around the incorporation of GenAI in data management technology to improve productivity of data resources. He believes in “making data easy” and enabling “data management for the masses.”

Edgar Macari is a Gartner Director Analyst in D&A Business Analytics and Data Science. Edgar specializes in guiding organizations to democratize data and analytics (D&A), maximizing the value derived from their investments in this field. His expertise spans key areas, including D&A strategy, self-service analytics, augmented analytics, analytics and business intelligence (ABI) platforms, data literacy, and cultural change. His recent research explores the profound impacts of AI on democratizing D&A. His motto: D&A is a team sport — don't play alone!

Erick Brethenoux is a Gartner Distinguished VP Analyst in D&A Artificial Intelligence. Through his research and advisory duties, Erick guides organizations on the strategic, technology and pragmatic implementation of AI techniques and next-generation decision-modeling systems. Prior to Gartner, Erick has held various executive positions building products and AI platforms. Erick has also conducted a scientific mission for the French Embassy in the U.S. while conducting his research as a Ph.D. candidate at University of Delaware within a cognitive sciences multidisciplinary program. Erick is also currently an adjunct professor at the Illinois Institute of Technology in Chicago.

00:16:53 Powering Transformation by Intelligent Automation and Al

Please subscribe and share the episode with your colleagues. Thank you for listening. Gartner Podcasts are a production of Gartner, the world's leading research and advisory company. Equipping executives across the enterprise with indispensable insight, advice, and tools to achieve their mission critical priorities. You can learn more at Gartner.com.

All content in Gartner Podcasts is owned by Gartner and cannot be repurposed or reproduced without Gartner's consent. Gartner is an impartial, independent analyst of business and technology. This content should not be construed as a Gartner endorsement of any enterprise's product or services.

All content provided by other speakers is expressly the views of those speakers and their organizations.