I love this chart for two reasons. First, it shows how serious Manufacturers and Retailers - both process driven industries - have become about embedding ML into their business. ML is mainstream. Second, even industries that are less process driven and more experimental such as Financial Services (evaluating companies or investment hypotheses) and Health and Life Sciences (drug discovery) have refined their approaches. The initial wave of Machine Learning is over and companies are extracting real value.
Our data shows that organizations have become 3x more efficient at putting ML models into production in just 14 months. They're spending fewer resources on experimental models that never provide real-world value. We break down these trends and more in the State of Data + AI, which examines usage data from our 10,000+ global customers. https://dbricks.co/3KB4OIK
It might also be due to putting usecases first and finding the right solution (which could be ML) instead of just trying to apply ML to everything. Also, the tech changes have made it cheaper and faster to apply GenAI.
Lead; Data Modeling Tech at Acosta Sales & Marketing
1moOr does this show companies stopped experimenting and focused on AI implementation or other tech vehicles?