Gartner Data and Analytics Summit: Predictions, Trends and Challenges for Data Leaders

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The Gartner Data and Analytics Summit brings together global leaders in data and analytics to explore the latest trends, share best practices and discuss emerging technologies that are transforming the enterprise data landscape.

Through a series of conferences in cities around the world, Gartner provides an invaluable platform for the exchange of ideas and experiences among industry experts, thereby helping organizations advance their journey toward data and analytics excellence.

While we await the conclusions of the conferences that are malaysia phone number lead yet to be held in Bombay, London, Tokyo, São Paulo and Sydney, we summarize in this article the main insights that emerged from the first Summit meeting held last March in Orlando.

Learn what data leaders are discussing today
The opening keynote was titled “Collective Intelligence: Bringing AI and Humans Together to Create Value.” It focused on how coordinated action and collaboration between AI and humans to solve problems enables optimized business outcomes.

“61% of D&A leaders involved in generative AI planning say educating leadership is one of their top responsibilities.”

Ehtisham Zaidi, Vice President Analyst at Gartner



To move forward along the proposed line, data and analytics leaders must lead business innovation following these premises:

-Adopting operating models that facilitate autonomy and flexibility.

-Expanding data literacy to include AI mastery.

-Establishing new leadership paradigms in which authority is distributed.

Gartner's 10 predictions for data and analytics
Without a doubt, the most relevant part of this event were the 10 predictions in data and analytics so that data leaders can anticipate change and transform uncertainty into opportunity:

CDAOs must become indispensable : The importance of Chief Data and Analytics Officers in organizations is expected to increase, being fundamental to business success.
Potential loss of intellectual property and copyright infringements : Identified as a significant risk due to the increased use of information analysis technologies.
People will be key to getting value from AI: Despite its advancement, the crucial role of people in obtaining value is recognized.
Governance will become a strategic business : Data governance will move from a technical concern to a strategic priority for companies.
Balancing AI ambition with risk tolerance – this is necessary to achieve a realistic assessment of the associated risk.
Natural language will become the new composer : we should anticipate an increase in the use of this language to interact with systems.
Using GenAI: This is a solution to address the increasing costs associated with implementing advanced technologies.
Natural language will free up access to and use of data. It will facilitate broader access to and more effective use of data within organizations.
New user experiences: A shift in user experiences is anticipated, going beyond traditional dashboards towards new ways of interacting with data.
Governance will remain key: Despite technological advances, the continued importance of data governance to ensure the value of AI investments is highlighted.
Key challenges for data leaders
Taking into account Gartner's predictions in Data and Analytics, the mission of data and analytics teams is to move from managing data resources and creating analytical knowledge to delivering value. Therefore, data leaders will face major challenges that will test their strategic, financial, organizational and technological skills.