In this conversation with CXO XPERTS, explains why the firm is now pushing into the mid-market — and why AI, more than pricing, is the real unlock. He discusses outcome-based pricing that removes upfront cost, how contract and invoice data can self-fund an enterprise AI budget, why overcoming organizational resistance comes down to speed of first results, and what a realistic AI adoption roadmap...
As enterprises move beyond AI experimentation and toward real-world deployment, the conversation is shifting from hype to outcomes. For Aksheshkumar Ajaykumar Shah, Founder and CEO of Cogniify.ai, that shift is exactly where the industry needs to focus.
An AI entrepreneur and applied machine learning leader with experience across Google, C3 AI, Fractal and VideoAmp, Shah has worked on large-scale systems spanning NLP, LLM optimization, predictive...
Retrieval Augmented Generation (RAG) represents a significant advancement in the field of Artificial Intelligence, particularly in the realm of Large Language Models (LLMs). Retrieval...
A new study has uncovered that large language models (LLMs) can unintentionally inherit behavioural traits from other models—even when trained on data that contains...
F5 has announced new enhancements to its BIG-IP Next for Kubernetes, now accelerated with NVIDIA BlueField-3 DPUs and the DOCA framework, designed to supercharge...
Meta has reportedly postponed the release of its much-anticipated Behemoth large language model (LLM) to the fall, after initially targeting an April launch. The...
Chinese AI startup Zhipu AI has launched a free artificial intelligence agent, stepping up the competition in the rapidly evolving domestic tech landscape. The...
