Artificial Intelligence

LLMOps in action: Streamlining the path from prototype to production

   ​   AIAInow is your chance to stream exclusive talks and presentations from our previous events, hosted by AI experts and industry leaders. It’s a unique opportunity to watch the most sought-after AI content – ordinarily reserved for AIAI Pro members. Each stream delves deep into a key AI topic, industry trend, or case study. …

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How to optimize LLM performance and output quality: A practical guide

   ​   Have you ever asked generative AI the same question twice – only to get two very different answers? That inconsistency can be frustrating, especially when you’re building systems meant to serve real users in high-stakes industries like finance, healthcare, or law. It’s a reminder that while foundation models are incredibly powerful, they’re far …

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Human + AI: Rethinking the roles and skills of knowledge workers

   ​   Artificial intelligence is not just another gadget; it’s already shaking up how white-collar jobs work. McKinsey calls this shift an arrival at superagency, a space where machines think alongside people and the two groups spark new bursts of creativity and speed. Suddenly, the click-by-click chores-plowing through code, crunching spreadsheets, scrubbing datasets-are handled by …

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Turning structured data into ROI with genAI

   ​  [[{“value”:” At GigaSpaces, we’ve been in the data management game for over twenty years. We specialize in mission-critical, real-time software solutions, and over the past two decades, we’ve seen just how essential structured data is, whether it resides in a traditional database, an Excel sheet, or a humble CSV file. Every company, regardless of …

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How TigerEye is redefining AI-powered business intelligence

   ​  [[{“value”:” At the Generative AI Summit in Silicon Valley, Ralph Gootee, Co-founder of TigerEye, joined Tim Mitchell, Business Line Lead, Technology at the AI Accelerator Institute, to discuss how AI is transforming business intelligence for go-to-market teams. In this interview, Ralph shares lessons learned from building two companies and explores how TigerEye is rethinking …

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Why agentic AI pilots fail and how to scale safely

   ​  [[{“value”:” At the AI Accelerator Institute Summit in New York, Oren Michels, Co-founder and CEO of Barndoor AI, joined a one-on-one discussion with Alexander Puutio, Professor and Author, to explore a question facing every enterprise experimenting with AI: Why do so many AI pilots stall, and what will it take to unlock real value? …

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AIAI New York, 2025

   ​  Catch up on every session from the AIAI New York with sessions across 3 co-located summit featuring the likes of Meta, Bank of America, Google DeepMind and many more.  Catch up on every session from the AIAI New York with sessions across 3 co-located summit featuring the likes of Meta, Bank of America, Google …

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LLMOps Virtual Summit, May 2025

   ​  Catch up on every session from LLMOps Virtual Summit, with sessions from the likes of Google, Unicef, Capital One, Linkedin and more…  Catch up on every session from LLMOps Virtual Summit, with sessions from the likes of Google, Unicef, Capital One, Linkedin and more… 

CAP theorem in ML: Consistency vs. availability

   ​   The CAP theorem has long been the unavoidable reality check for distributed database architects. However, as machine learning (ML) evolves from isolated model training to complex, distributed pipelines operating in real-time, ML engineers are discovering that these same fundamental constraints also apply to their systems. What was once considered primarily a database concern …

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