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What you need to know about product management for AI

O'Reilly on Data

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). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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Machine Learning Product Management: Lessons Learned

Domino Data Lab

It focuses on his ML product management insights and lessons learned. If you are interested in hearing more practical insights on ML or AI product management, then consider attending Pete’s upcoming session at Rev. I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018.

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Accelerate AI-Driven Decisions with DataRobot Dedicated Managed AI Cloud and Google Cloud

DataRobot Blog

Organizations that want to accelerate AI and generate significant business impact are now able to deliver augmented intelligence at scale with DataRobot Dedicated Managed AI Cloud and Google Cloud. GCP Infrastructure allows IT teams to monitor and manage models within the GCP environment. Delivering more than 1.4

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The portfolio approach to digital transformation: 4 keys to success

CIO Business Intelligence

Corporate projects are classically evaluated on standard matrices such as return on investment (ROI), break-even period, and capital invested. This is where the portfolio approach comes in wherein different projects are managed similarly to how a portfolio of stocks is managed.

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Your New Cloud for AI May Be Inside a Colo

CIO Business Intelligence

The cloud is great for experimentation when data sets are smaller and model complexity is light. However, this repatriation can mean more headaches for data science and IT teams to design, deploy and manage infrastructure optimized for AI as the workloads return on premises.

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ADP’s cloud transformation pays dividends

CIO Business Intelligence

ADP’s aggressive digital transformation has not only cut costs and enabled more innovation but, most importantly, it has facilitated the payroll administrator’s evolution into a human capital management (HCM) service provider, which provides services to its customers from “hire to retire,” Nagrath says.

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How to become an AI+ enterprise

IBM Big Data Hub

By becoming an AI+ enterprise, clients can realize the ROI not only for the AI use case but also for improving the related business and technical capabilities required to deliver AI use cases into production at scale. times higher ROI. times higher ROI. This culture encourages experimentation and expertise growth.