Decision Intelligence – this is how most businesses will adopt AI
By Peak, contributors for Techhq.com
As Artificial Intelligence moves from the world of academia to commercial applications, we see the technology sector fragment into categories. Decision Intelligence (DI) is the application of AI to the decision-making process. It is industry- and department-agnostic – decisions are the one thing every function in every business has in common.
Automated techniques could make it easier to develop AI
By Tammy Xu, contributing writer for Technologyreview.com
Machine-learning researchers make many decisions when designing new models. They decide how many layers to include in neural networks and what weights to give inputs at each node. The result of all this human decision-making is that complex models end up being “designed by intuition” rather than systematically, says Frank Hutter, head of the machine-learning lab at the University of Freiburg in Germany.
Artificial advantage: can synthetic data make AI less biased?
By Sam Forsdick, contributing writer for Raconteur.net
One billion photos were used to train Meta’s latest photo-recognition algorithm, a powerful demonstration of the current appetite for data. For those companies without access to platforms like Instagram, there is another answer: synthetic data.
Is your factory intelligent enough to withstand the next business crisis?
By Susan Galer, contributing writer for Forbes.com
Mass-produced personalized products sound like an oxymoron. Not so according to manufacturing industry experts who say that companies need the intelligence that allows factories to turn on a dime so they can meet whiplash-fast customer demand signals in a market rocked by anything from extreme weather to geopolitical conflicts.
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