LLMs are a seamless way to find value in your unstructured data, but the truth is, there is so much more value hidden within your structured data. This post explores what LLMs are (and aren’t) optimized for and how the industry is approaching AI over structured business datasets – including one approach developed by my team and me. The post Why LLMs Aren’t a One-Size-Fits-All Solution for Enterprises appeared first on Towards Data Science.| Towards Data Science
The semiconductor industry is moving faster than its tools can keep up. The pace of change, the explosion of data, and the pressure to build fabs in record time are colliding — and the result is a growing gap between design intent and operational reality.Digital twins are emerging as the bridge between those two worlds. […] The post Why Every Semiconductor Fab Needs a Digital Twin Strategy — Not Just Digital Tools appeared first on IIoT World.| IIoT World
I am a die-hard Survivor fan. I was born the year after the show came out, and since then I have tuned in for every single episode, with season 48 being no exception. However, I’ve noticed a trend: the players I think are most deserving of the million dollars never end up winning! As a data lover, I was curious about what the stats said. What qualities make a Survivor winner? Did the players with the best stats end up winning the game? And, most importantly, can a model predict who will wi...| SAS Users
