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Andreesen Horowitz’s Tips for ML Success in Production in Startup Contexts [Link] As more and more startups are building AI-centric products, a commonality is emerging in the realm of problems they face: The underlying “economies of [AI] data”. The “economies of data” analogy...
The media industry is not only investing in ML tools today but is actually implementing them in production. As resolution demands by consumers increase, the computational ability to render that content is not keeping pace. Some real examples of this include: At Pixar, it takes 50 CPU...
We held our second virtual meetup yesterday, with William Roberts providing an overview of the emerging field of ML Ops. Check out his slides and watch the replay below. Please head over to the forum to share you comments and questions . Join us again on Thursday, July 9 from 6 to 7.30pm...
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Today, Markham, the tech capital of Canada, announced a collaboration with IBM to use artificial intelligence and machine learning capabilities in IBM Watson Assistant for Citizens to offer the citizens of Markham 24-hour service for their questions about COVID-19. In doing so, Markham has...
Today’s complex environments require skill sets even beyond the abilities of accomplished database administrators. Organizations with Db2 for z/OS are looking for new approaches to improve IT operations by using machine learning and AI technology. Welcome to Db2 AI for z/OS System Assessment ...
This Db2 for z/OS News from the Lab blog entry was originally published on 2018-07-04. By Guanjun Cai. IBM Machine Learning for z/OS is an end-to-end enterprise machine learning solution that brings advanced predictive capabilities to the mission-critical Z platform. Leveraging the combined...