Beating at the heart of any bespoke AI project lies one or more machine learning (ML) frameworks, including Scikit-learn, PyTorch, and TensorFlow. Yet, they are often overlooked when it comes to IT management concerns.
An interactive database and visualization tool for more than 1,200 companies involved in AI. Users can find companies by headquarter locations, AI technology employed, industries served, horizontal use cases, employee size, and IT category.
Analysis of the market opportunity for AI software 2019 through 20207. Includes market sizing, segmentation, and forecasts for 181 unique use cases across 20 industries by 8 world regions and 6 AI technologies.
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In this report, Omdia will chart the status of robotic process automation (RPA) and intelligent automation (IA) software among enterprise practitioners, analyzing its barriers and benefits, impact on employees, outlook, and more.
An elite group of SaaS companies are embedding AI to improve their products and business outcomes for their customers. Who are these AI SaaS leaders? How are they embedding AI? What AI lessons can be learned about the trajectory of SaaS?
AI software is on a strong growth trajectory through 2022 and thereafter, presenting significant opportunities for vendors and enterprises alike.
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