In this article we take a look new technology that can overcome common problems that contribute to struggles with AI projects. Project delays, budget limitations, scarcity of needed skills, changing data sources, decay of a model’s predictive power (model drift), and scalability issues are just some of the aspects that make for potentially high-risk AI projects.
The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation
June 22, 2021 by Leave a Comment
This new whitepaper, “The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation,” from Veritone highlights how evolving technology meets enterprise demand for agile, intelligence-based solutions in the shape of AI-based operating systems (OS) across three areas: (i) AI OS for automation of human work; (ii) AI OS for process automation across all data sources; and (iii) AI OS for democratization of AI across the
enterprise.
The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation
June 17, 2021 by Leave a Comment
This new whitepaper from Veritone highlights how evolving technology meets enterprise demand for agile, intelligence-based solutions in the shape of AI-based operating systems (OS) across three areas: (i) AI OS for automation of human work; (ii) AI OS for process automation across all data sources; and (iii) AI OS for democratization of AI across the
enterprise.
