O'Reilly Media - Ideas
MARCH 31, 2020
If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door.
TechCrunch
MAY 10, 2022
-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. Or they can choose to use a blackbox off-the-shelf ‘AutoML’ solution that simplifies their problem at the expense of flexibility and control.”
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CIO
JANUARY 29, 2024
In lieu of integrating and customizing off-the-shelf enterprise applications such as Salesforce or SAP, Power Home Remodeling has constructed its own proprietary NITRO platform used to run and optimize all aspects of the business and customer experience. Back in the day, IT culture was all about the perks.
Mentormate
JANUARY 11, 2022
People need onboarding and training. Platform and managed service vendors continue to roll out better solutions to the people shortage challenges presented above. Platform and managed service vendors continue to roll out better solutions to the people shortage challenges presented above. Where Did All the People Go?
O'Reilly Media - Ideas
OCTOBER 13, 2020
The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.
Lead on Purpose
SEPTEMBER 29, 2012
A leader must always be on point with their influence onto others and also be willing to adapt accordingly if things are veering off in another direction. A leader must always be on point with their influence onto others and also be willing to adapt accordingly if things are veering off in another direction.
CIO
AUGUST 16, 2023
In fact, according to Lucidworks’ global generative AI benchmark study released August 10, 96% of executives and managers involved in AI decision processes are actively prioritizing generative AI investments, and 93% of companies plan to increase their AI spend in the coming year. All we need to do is specialize them for our needs.”
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