O’Reilly
AI development has major security, privacy and ethical blind spots
Security, privacy and ethics are low-priority issues for developers when modeling their machine learning solutions, according to O’Reilly. Major issues Security is the most …
Security and compliance obstacles among the top challenges for cloud native adoption
Cloud native adoption has become an important trend among organizations as they move to embrace and employ a combination of cloud, containers, orchestration, and microservices …
Companies getting serious about AI and analytics, 58% are evaluating data science platforms
New O’Reilly research found that 58 percent of today’s companies are either building or evaluating data science platforms – which are essential for companies that are …
Microservices becoming architectural style of choice for application development
Microservices – a software development technique where an application is created by combining numerous smaller services – have evolved from fad to trend, becoming …
Where should companies focus as they begin their machine learning journey?
As machine learning has become more widely adopted across industries, O’Reilly set out to learn more about how companies approach this work. By surveying more than 11,000 data …
Featured news
Resources
Don't miss
- Only 2-5% of application security alerts require immediate action
- How to recognize and prevent deepfake scams
- Critical Firefox, Tor Browser sandbox escape flaw fixed (CVE-2025-2857)
- Android financial threats: What businesses need to know to protect themselves and their customers
- Post-quantum cryptography and the future of online safety