Hiral Jasani

Oct 9, 2024 | databricks.com | Josh Howard |Amit Kara |Manish Agarwal |Hiral Jasani

With the pace of modern business and the competitive need for more and more data, organizations now correctly ask whether their data management practices still support their business strategies—especially those now trying to wrangle data across multiple platforms to achieve sophisticated real-time analytics and generative AI outcomes. Does this most valuable asset enable better agility to take advantage of new trends and opportunities?

Aug 9, 2024 | databricks.com | Hiral Jasani

In today's rapidly evolving technological landscape, the intersection of data and artificial intelligence (AI) has become a critical focus for organizations across industries. According to Foundry's recent CIO Tech Poll, IT leaders have overwhelmingly placed AI-enabled solutions at the top of their investment list for 2024, with only 8% expressing no interest in generative AI.

May 1, 2024 | databricks.com | Manish Agarwal |Josh Howard |Hiral Jasani |Bilal Aslam

The modern data stack is designed to address the difficulties with data collection, storage, and analysis as the volume and complexity of data continues to increase. As business success becomes more reliant on data-driven insights and AI, effective and reliable data management is essential. So, what is a modern data stack and how are they designed to optimize data use?