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

TechCrunch

One of my favorite examples is in the first Harry Potter movie, when Hagrid takes Harry to Diagon Alley, the magical shopping district that introduces him (and us) to the world of wizarding. 8 questions to answer before your startup faces technical due diligence. Tomorrow, we’ll run his detailed TDD checklist.

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IT leaders uplift women to fill tech talent gaps

CIO

The problem: She had no formal training and experience in computer science. As companies scramble to find qualified IT talent, they are struggling to achieve greater female representation in their technology ranks, particularly in key areas such as software engineering and cybersecurity. Frederick “Flee” Lee, CSO, Gusto.

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5 Reasons Why NIS2 Directive Preparation Should Start Now, Part Two: Implementation Takes Time

Ivanti

Review your current supply chain security flaws. Innovating by adopting new technologies, developing new products or services, creating new markets and more. Case studies or examples illustrating how other organisations have benefited from complying with the NIS2 Directive or similar regulations.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Lastly, we connect these together with an example LLM workload to describe an approach towards architecting with defense-in-depth security across trust boundaries. We then discuss how building on a secure foundation is essential for generative AI.

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Top 5 Outsourcing Web Design and Development Benefits

The Crazy Programmer

Today, even tech giants like Apple outsource web development services. Additionally, they will advise you on how to make every penny work and stay within budget. Due to the differences in economics between countries, you can save a significant amount of money that can be directed on other business needs. Lower Expenses.

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AI in Healthcare: Use Cases, Latest Trends, and Many More

Openxcell

The use of machine learning (ML) algorithms and other cognitive technologies in healthcare is referred to as AI in healthcare. A few examples of AI in healthcare include enhancing diagnosis, disease detection, health risk assessment, drug development, administration, and communication, as well as speeding up and improving these processes.

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Humans and AI: Business Subject Matter Experts, Forests, and Trees

DataRobot

Considering only one in ten companies report significant financial benefits from implementing AI , the collaboration of business subject matter experts and technical experts is critical. Business and Technical Experts Speak Different Languages. But collaboration between business experts and technical experts isn’t so easy.