Enterprise legal departments are currently navigating a breakdown in AI adoption caused by scattered data, inconsistent global regulations, and a lack of clear governance for grading automated workflows. In this episode, Christo Siebrits, Senior Associate and General Counsel at AbbVie, outlines how a validated internal large language model environment combined with a forced-ranking strategy...
If you haven’t already, check out Arun Ulag’s hero blog “FabCon and SQLCon 2026: Unifying databases and Fabric on a single, complete platform” for a complete look at all of our FabCon and SQLCon announcements across both Fabric and our database offerings. The next evolution of in-report Copilot on the mobile app is now available …
In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. Today, those jumps have flattened into incremental gains. The exception is domain-specialized intelligence, where true step-function improvements are still the norm. When a model is fused with an organization’s…
For decades, artificial intelligence has been evaluated through the question of whether machines outperform humans. From chess to advanced math, from coding to essay writing, the performance of AI models and applications is tested against that of individual humans completing tasks. This framing is seductive: An AI vs. human comparison on isolated problems with clear…
Reading Time: 4 minutesBuilding an event-driven smart city requires a seamless integration of real-time data and automated actions to ensure urban safety. By leveraging the TIBCO Platform Integration – Flogo®, developers can create a robust architecture for real-time incident response that orchestrates events from REST APIs (mobile apps) and MQTT (IoT sensors) to trigger critical workflows...
Reading Time: 3 minutesWhat can we truly use Artificial Intelligence for in the business world? The core of running an enterprise lies in coordinating countless systems—from daily transactions and supply chains to marketing and warehouse logistics. Historically, the human ‘cognitive span’ has limited how many of these disparate data streams we can effectively synthesize. This is where an...
Reading Time: 2 minutesArtificial Intelligence (AI) has progressed through many generations, with the latest, Generative AI (GenAI), commanding the current spotlight. Its newness and potential are immense, but this power comes at a steep cost: massive resources for training and deployment, requiring significant time, memory, and specialized hardware. What if your most pressing business...
Multimodal AI has grown from novelty to a must in recent times. Need proof? If I were to tell you to work on an AI model that only understands text, you would probably laugh and throw 10 model names at me that can work across formats – be it text, audio, or visuals. The new […]
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AI demos often look impressive, delivering fast responses, polished communication, and strong performance in controlled environments. But once real users interact with the system, issues surface like hallucinations, inconsistent tone, and answers that should never be given. What seemed ready for production quickly creates friction and exposes the gap between demo success and real-world...
Do you remember the very first AI voice conversation that you had? No doubt, it felt unreal getting live answers from a talking bot. But the one thing largely missing from the interaction was the feel of a human responding to your queries. Years on, we now see AI models have evolved largely in this […]
The post Gemini 3.1 Flash Live: AI Conversations Now Feel Way More Human appeared...