A new IBM study shows that two-thirds of CIOs and CTOs are accountable for AI systems they don't fully control, with only 11% feeling prepared for the expected AI scale increase by 2027. Rapid AI deployment outpaces governance, causing security and compliance risks, with many organizations experiencing AI incidents requiring human intervention. Companies embedding control into AI systems perform better, deploying more AI agents with fewer incidents and higher margins. AI spending is set to rise sharply, but most tech leaders lack full financial oversight. The study highlights the need for redesigned governance and control structures to safely scale AI across enterprises.
This monthly series highlights five large-cap, dividend-paying stocks trading at significant discounts compared to their historical norms, selected from over 7,500 U.S.-listed companies. The primary list offers an average yield of 4.2%, with two addi...
William Barlow, former IBM VP of threat intelligence, sued IBM claiming the company was hacked multiple times by Chinese government-linked hackers from 2013 to 2016 and covered up the breaches. The lawsuit alleges IBM's core network and subsidiaries ...
The agentic AI market in scientific discovery is projected to grow from $0.26 billion in 2025 to $0.4 billion in 2026, a 57% increase, fueled by automation, advanced AI tools, and expanding digital research databases. This growth is expected to conti...
The global AI in cancer diagnostics market is projected to grow from $0.96 billion in 2026 to $1.97 billion by 2030, driven by advancements in AI, machine learning, and imaging systems. Increasing cancer prevalence worldwide and the demand for early ...
IBM has formed a strategic partnership with Google Cloud to accelerate AI adoption across industries like banking, retail, and telecom by launching a joint Google Cloud Practice. The collaboration aims to help customers deploy and manage AI at scale ...
