When a growth initiative aligns with existing decision rhythms and governance, course correction is faster and less costly. Initiatives that plug into standing operational reviews are easier to steer ...
Enterprises no longer need to "lift and shift data" to get the answers they need Traditional eDiscovery and governance ...
Genesys has launched what it describes as the industry's first agentic virtual agent built on large action models (LAMs) - moving enterprise AI from conversation to autonomous action across ...
Principal Architect Sandeep Patil’s landmark research charts a new course for cloud-native data warehousing — from serverless MPP engines and lakehouse convergence to AI-powered query optimization and ...
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Citibank NA data leader Raj Kiran Chennareddy recognized globally for AI governance and ...
As regulated industries accelerate AI adoption, Chennareddy’s governed, audit-ready architecture spanning North America, EMEA, and APAC offers a model for compliant enterprise intelligence at scale.
The real differentiator isn’t whether you have agents. It’s whether those agents are anchored to validated need, ...
The real value of enterprise integration lies in enforcing execution discipline across distributed environments.
As artificial intelligence (AI) moves from experimental tools into enterprise-wide systems, organizations face a complex challenge: how to scale AI in ways that ...
In an agentic world, that means AI systems must have explicit, verifiable identities of their own, not operate through inherited or shared credentials.
As AI agents evolve into autonomous digital teammates, enterprises must rethink infrastructure, orchestration, and governance to run agentic workloads at scale.
Architect Rajaganapathi Rao discusses SAP HANA migrations, real-time data platforms, and how modern architecture transforms ...
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