AI Agents: A CTO's Guide to Transforming Everyday Tasks
Discover expert led podcasts, articles, and news from enterprise technology leaders at EM360Tech, your source for B2B tech intelligence
Twitter faced a $250 million lawsuit over alleged copyright violations, raising questions about how social media platforms manage copyrighted content and protect the rights of creators.
EM360Tech explores how ETL testing strengthens enterprise data quality, ensuring reliable analytics and compliance-ready insights.
AI/digital transformation failures aren't about bad tech. They fail when culture isn't ready. Success depends on people, mindsets, & systems. An 8-minute long Cultural Readiness Assessment helps leaders uncover barriers & guide strategy. The real risk? Using the right tech in the wrong culture.
Recent high-profile cyberattacks, including the Marks & Spencer (M&S), Co-op breaches in April 2025 and the attempted attack on Harrods in May 2025, have depicted the malicious ways of exploiting foundational vulnerabilities in an organisation’s digital infrastructure.
Many organisations struggle to move beyond AI experimentation. Learn how product thinking can help build scalable automation strategies that deliver real business impact.
Zero Trust brings stronger identity, access and verification controls to increasingly complex CI/CD environments.
Nvidia is recalibrating its approach to the Chinese market.
EM360Tech explores how enterprises can scale synthetic data beyond PoCs through operational maturity, privacy safeguards, and pipeline readiness.
EM360Tech explores how generative BI is reshaping enterprise decision-making by embedding AI-driven insight directly into everyday workflows.
The UK Online Safety Act is a new set of laws implemented across the United Kingdom aimed at protecting both children and adults online.
Trump’s AI Action Plan aims to accelerate US AI leadership through deregulation, infrastructure investment and global technology expansion.
Traditional CI/CD is hitting its limits. Netflix, Spotify, and Google are using AI to predict build failures, select relevant tests, and auto-heal pipelines—achieving 23-67% performance improvements.
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