Gartner Data & Analytics Summit 2024 London: Day 1 Highlights

We are bringing you news and highlights from the Gartner Data & Analytics Summit, taking place this week in London, U.K. Below is a collection of the key announcements and insights coming out of the conference.

On Day 1 from the conference, we are highlighting the Gartner opening keynote presentation on generating value from artificial intelligence (AI) readiness to collective intelligence. We are also revealing the top D&A predictions for 2024 and sharing insights from Gartner’s 2024 chief data and analytics officer (CDAO) Agenda survey. Be sure to check this page throughout the day for updates.

Presented by Adam M. Ronthal, VP Analyst and Alys Woodward, Sr Director Analyst, Gartner 

Generative AI (GenAI) is an inflection point for data and analytics (D&A) and it is proliferating throughout organizations, which means the expectations for D&A leaders are higher than ever before. In this session, Gartner analysts Adam M. Ronthal and Alys Woodward discussed how rigorous execution of D&A fundamentals on business value can mature D&A leaders' core capabilities.

• “D&A leaders have a central role to play by providing the capabilities that facilitate decision and action, effectively unleashing collective intelligence.”

• “Organizations with mature D&A governance practices are 25% more likely to adopt data driven innovations.”

• “It’s the D&A leader’s role to protect their organizations against potential AI risks by establishing the connection between AI-ready data, governance and business value.”

• “Rapid evolution of D&A and AI technologies, such as GenAI, offers leaders the opportunity to rethink and evolve their operating models.”

• “Gartner’s annual chief data and analytics officer (CDAO) survey found that 75% of respondents were already evolving their operating models to enable them to better support innovation.”

Learn more in the Gartner press release “Gartner Says Data & Analytics Leaders Must Use Collective Intelligence to Drive Business Value."

Presented by Rita Sallam, Distinguished VP Analyst, Gartner

This year, data and analytics (D&A) leaders must step up to make data and analytics, and AI, strategic to the business. In this session, Rita Sallam, Distinguished VP Analyst at Gartner, revealed Gartner’s top D&A predictions for 2024, discussing how D&A leaders can plan for the impact of AI on all aspects of data and analytics, including leadership, governance, talent, market, and the need for AI-ready data for value realization.

• “By 2028, more than 50% of enterprises that have built their own large language models (LLMs) from scratch will abandon their efforts due to costs, complexity and technical debt.”

• “By 2027, 75% of new analytics content will be contextualized for intelligent applications through GenAI, enabling a composable connection between insights and actions.”

• “By 2027, GenAI enhanced cost optimization will automate 40% of data and analytics spending in cloud-based data ecosystems.”

• “By 2025, use of natural language as a primary data management application programming interface (API) will be the dominant interface leading to a 100x consumption of data across the ecosystem.”

• “By 2027, 60% of organizations will fail to realize the anticipated value of their AI use cases due to incohesive ethical governance frameworks.”

Presented by Alan Duncan, Distinguished VP Analyst, Gartner 

The 2024 Gartner Chief Data & Analytics Office (CDAO) Agenda Survey revealed that CDAOs must rapidly reinvent themselves as drivers of business innovation with the acceleration of generative AI. In this session, Alan Duncan, Distinguished VP Analyst at Gartner, discussed how the foundational capabilities of data and analytics strategy, governance and solution delivery need to be reframed so CDAOs do not risk becoming irrelevant.

• “Be prepared to spread yourself thin and learn the art of ‘survivable disappointment.’ Choose/navigate the trade-offs of what not to do.”
  
• “By 2026, 75% of CDAOs who fail to make organization-wide influence and measurably impact their top priority will be assimilated into technology functions.” 
  
• “Put data governance, master data management, data quality and metadata management in place that support use cases and measurable business value - especially link to innovation cases and opportunities to support AI.” 
  
• “By 2027, 40% of CDAOs will have rebranded governance as business enablement of strategic business initiatives from the outset.” 
  
• “By 2026, the CDAOs ability to deliver data and AI literacy, culture change, and a skilled workforce will be a top-three determining factor in supporting business strategy.”