In this digital era, Gururaj Thite, a specialist in AI-driven systems and data infrastructure, unpacks the rapid advancements ...

Adapa’s career reflects a commitment to using advanced data technologies to solve real-world challenges and improve ...

The analyst firm identifies data collection, customer profile unification, integrations and segmentation as among the key features of a CDP ...

Ansys, now part of Synopsys, announced 2025 R2: featuring new AI-powered capabilities across the portfolio that accelerate ...

Ansys 2025 R2 offers AI-driven tools and features that simplify simulation adoption, encourage collaboration and boost productivity across teams.

Every aspect of data center energy use must be optimized to reduce power consumption and enable more sustainability, from chips to transformers and edge compute.

From Reddit thrill-seekers to Goldman Sachs trading desks, everyone’s testing AI chatbots to pick stocks. One teen’s 24% ...

Classic EOQ and JIT (just in time) methods assume stability, predictable lead times, linear demand and static cost structures ...

Jayanth Kolli orchestrated a remarkable laboratory transformation project that has redefined standards for precision and efficiency in battery testing operations.

Managing generative AI use across the software development cycle may mean mixing and matching relevant tools, metrics, and ...

MCP makes agentic AI flexible - but also vulnerable. For CISOs, visibility, control and secure workflows are crucial for trust and resilience.

Google Cloud’s new AI agents, Gemini APIs and agentic AI innovation includes Google products for GitHub, Google Data Cloud, ...