Title: Data Observability and Gen AI Budgets: Insights and Trends for Enterprise Data Leaders
Introduction:
VentureBeat presents AI Unleashed, an exclusive executive event for enterprise data leaders. This article explores the concept of data observability and its implications for planning generative AI budgets. Morgan Stanley predicts a 15 to 20% enterprise adoption of gen AI within the next three years.
Analyzing the Gen AI Budget:
To gain insights into the impact on gen AI budgets in 2024, a generative AI poll on LinkedIn has garnered comments and votes. Additionally, the TED AI conference will feature a live debate on this topic by industry expert Bruno Aziza.
Carcast: Delving into Enterprise Generative AI Use Cases:
Highlighted in this week’s carcast are discussions on the identification of use cases for enterprise AI and the importance of trust and data quality as competitive advantages. Michael Krigsman from CXO Talk shares his insights on these topics.
The State of AI Report 2023:
Air Street Capital’s recent research on AI investment reveals that gen AI applications have experienced a breakthrough year, attracting $18 billion in VC and corporate investments. These applications span various fields, including image, video, coding, and voice. The report also indicates that 70% of the most-cited AI papers in the last three years are authored by individuals from U.S.-based institutions and organizations.
Understanding Data Observability:
Sanjeev Mohan emphasizes the need for data observability in the gen AI space to ensure effective performance. Mohan suggests the adoption of DataBizOps, a strategy to optimize cloud infrastructure in the context of value creation. This aligns with the concept of data mesh, which was previously explored in an article about its significance.
CarCast Highlights: Peter Thiel’s Interview Question and Scaling People Book:
This week’s CarCast also features Peter Thiel’s intriguing interview question and a brief discussion on Claire Hughes Johnson’s book, “Scaling People,” which shares insights on management and building successful teams. Bruno Aziza, a technology entrepreneur and partner at CapitalG, provides his perspective on these topics.
Conclusion:
As data leaders navigate the evolving landscape of gen AI, understanding data observability and its role in ensuring optimal performance is crucial. The insights shared in this article, along with the State of AI Report 2023, highlight the increasing investment and adoption of gen AI applications in various industries. Keeping abreast of these trends and leveraging them to plan gen AI budgets will be essential for enterprise success.
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