Xebia
AUGUST 9, 2023
Demand forecasting is chosen because it’s a very tangible problem and very suitable application for machine learning. Table of Contents What is Machine Learning System Design? Machine Learning System Design is the iterative process of defining a software architecture. More about this later in this post.
O'Reilly Media - Ideas
JULY 28, 2020
The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.
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O'Reilly Media - Ideas
JUNE 4, 2019
Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Reinforcement Learning: Building Recommender Systems , August 16. Business Applications of Blockchain , July 17. Thinking Like a Manager , July 10. Product Management for Enterprise Software , July 18. Design and product management.
CTOvision
FEBRUARY 4, 2015
This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Director of Product Management, Cloudera. Director of Product Management, Cloudera. Eddie Garcia. Eva Andreasson. Alex Moundalexis.
Gorilla Logic
JULY 30, 2019
UI/UX designers , technology teams, and product owners work closely to ensure that the application is in lockstep with the client’s priorities, the users’ goals, and the team’s technical architecture. No matter what you call it, this concept helps everyone understand why things are designed the way they are.
O'Reilly Media - Ideas
MAY 1, 2019
Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. AI for Product Managers , June 11. Introduction to Employee Performance Management , June 10. 60 minutes to Better User Stories and Backlog Management , June 13. Product Management in 90 Minutes , June 14. Programming.
Modus Create
APRIL 27, 2020
The modernization of web applications is a core requirement as customers demand high performing and well-designed user interfaces. Domain knowledge of the applications went away when their developers departed their organization, causing a significant loss of know-how. Audit the legacy application.
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