Data Management
The sheer volume of personal information processed by large language models daily has created a significant privacy paradox for modern digital citizens. While these systems offer unprecedented productivity gains, they simultaneously function as massive data sponges that absorb every query, draft, and confidential thought entered into the
A customer-support agent resolves a ticket, queries the CRM, checks a payment processor, drafts an email, updates the case, and nudges logistics to reissue a shipment—all in minutes—yet each hop risks stretching personal data beyond its original purpose if the agent roams unchecked. The shift from single-shot prompts to multi-step, stateful agents
Prakash Kota serves as the Chief Information Officer at UKG, where he spearheads enterprise technology strategy and digital transformation for a global workforce. With over two decades of experience, including a significant tenure at Autodesk, he has become a recognized leader in navigating the complex intersection of data strategy and employee
The cloud infrastructure landscape is currently undergoing a seismic shift, driven by an insatiable hunger for artificial intelligence compute that rivals the historical demand for electricity. As enterprises scramble to secure their digital future, the traditional dynamics of procurement and hardware utilization are being rewritten by scarcity
The silent crisis within modern data organizations is not a lack of processing power or algorithmic sophistication but rather the widening chasm between mathematical probability and institutional truth. As enterprise leaders look toward a future where large language models manage the heavy lifting of analytical queries, a persistent