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TechCrunch+ roundup: Technical due diligence, web3’s promise, how to hire well

TechCrunch

8 questions to answer before your startup faces technical due diligence. After technical due diligence begins, no amount of storytelling can cover the secrets buried in GitHub and Jira. After technical due diligence begins, no amount of storytelling can cover the secrets buried in GitHub and Jira.

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How MemorialCare confronts evolving risks along its modernization journey

CIO

billion by 2030, according to statistics portal Statista, by virtue of the healthcare industry being under increasing attack. For Kevin Torres, trying to modernize patient care while balancing considerable cybersecurity risks at MemorialCare, the integrated nonprofit health system based in Southern California, is a major challenge.

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6 Key considerations when orchestrating your Windows 11 Pro upgrade

CIO

Because Windows 11 Pro has new hardware requirements, your upgrade strategy must both address hardware and software aspects, not to mention security, deployment plans, training, and more. Also, verify system requirements for each software to ensure compatibility with your new devices.

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Four investors explain why AI ethics can’t be an afterthought

TechCrunch

A founder recently told TechCrunch+ that it’s hard to think about ethics when innovation is so rapid: People build systems, then break them, and then edit. We’re widening our lens, looking for more investors to participate in TechCrunch surveys , where we poll top professionals about challenges in their industry.

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This week in AI: Amazon ‘enhances’ reviews with AI while Snap’s goes rogue

TechCrunch

Keeping up with an industry as fast-moving as AI is a tall order. This week in AI, Amazon announced that it’ll begin tapping generative AI to “enhance” product reviews. This week in AI, Amazon announced that it’ll begin tapping generative AI to “enhance” product reviews.

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What is SAFe? A framework for scaling business agility

CIO

Key elements of SAFe: Value streams and agile release trains At the core of any successful SAFe implementation are value streams and agile release trains (ARTs). The third level, Large Solution Level, involves two or more ARTs coordinated as a solution train. Apply systems thinking into all facets of development.

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Accuracy concerns slow manufacturers’ Gen AI adoption

CIO

Manufacturers are implementing generative AI initiatives slower than anticipated due to accuracy concerns, according to a report from Lucidworks. Manufacturers also face technical and operational challenges, such as the need for retrofitting existing systems, that contribute to their hesitation in adopting Gen AI.