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What you need to know about product management for AI

O'Reilly Media - Ideas

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.

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KubeCon NA 2021 Key Takeaways: DevX, Security, and Community

Daniel Bryant

CONFERENCE SUMMARY It’s that time of year again when we get to reflect on another awesome KubeCon NA. I know from past experience of running (smaller) hybrid events that it’s actually more work than running two individual conferences! I was presenting a session at the DevX Day colocated event.

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Cybersecurity Snapshot: 6 Things that Matter Right Now

Tenable

12 (Black Hat Special Edition) | The Black Hat USA conference returned to Las Vegas this week to celebrate its 25th anniversary, as thousands of security pros gathered in the desert to get wiser about critical challenges, including cloud security, software supply chain risks, ransomware and the rampant burnout and stress among their ranks.

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Cybersecurity Snapshot: 6 Things that Matter Right Now

Tenable

12 (Black Hat Special Edition) | The Black Hat USA conference returned to Las Vegas this week to celebrate its 25th anniversary, as thousands of security pros gathered in the desert to get wiser about critical challenges, including cloud security, software supply chain risks, ransomware and the rampant burnout and stress among their ranks.

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Product-aligned vs Capability-aligned Organisation Design

Strategic Tech

One perspective is to organise teams ‘vertically’, aligned with the company’s products. common services/features/functionality used in many or all of the company’s products. An example would be an internal user management system, so that customers have a single login used across an organisation’s entire product portfolio.

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How to Launch a Successful Product: Timing, Roles, and Product Launch Checklist 

Altexsoft

Vendors spend months or years designing and building an app, but one mistake during the product release can put the whole project at risk of failure. Or a developer failed to test the app with real users to verify usage scenarios, hoping his idea will take off by itself. Why did you favor this tool over the thousands of similar ones?

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