With AI technology changing so quickly, we often need to step back and take a big picture look at the market
Tag: @FredericVHaren
Data is the most important element of artificial intelligence, but how is that data managed and stored? In this episode of Utilizing AI, Adi Gelvan of Speedb goes deep under the hood to take a look at the data engine along with Frederic Van Haren and Stephen Foskett
AI is everywhere, and so are AI accelerators, from CPU to GPU to special-purpose hardware
AI is now widespread, and companies are starting to look at the real-world impact of machine learning
Shadow IT is as old as our profession, so it’s no surprise that shadow AI is becoming a major issue
Many of the tasks we perform on a daily basis are beneath our abilities, and these are the ideal targets for AI
Machine learning applications require massive datasets, but it can be challenging to build and store large amounts of unstructured data
Data is the most important component of AI implementation, but most companies neglect data infrastructure and focus too much on the ML models
Many data scientists and ML engineers have faced the challenge of putting AI models into production, and this is the core of MLOps
Demand for AI compute is growing faster than conventional systems architecture can match, so companies like Cerebras Systems are building massive special-purpose processing units.