Boeing, NASA and Pfizer have established chief artificial intelligence officer positions to lead ethical deployment and innovation in 2023. Federal requirements are pushing agencies to create CAIO roles, accelerating enterprisewide adoption across a variety of industries.
While 94% of CIOs embrace AI and more than half expect widespread adoption, only 14% expect to be AI-ready by 2025, the recent MIT Technology Review report showed. The report underscored the gap between AI ambitions and execution as companies such as P&G and Johnson & Johnson navigate this shift.
OpenAI’s new $6.6 billion round of funding has nearly doubled its valuation to $157 billion. With investments from Thrive Capital, Microsoft, SoftBank and Nvidia, OpenAI plans to expand its AI research while facing pressures around executive turnover and its transition away from a nonprofit model.
Integrating AI and automation into DevOps improves development efficiency, software quality, scalability and resilience. By handling routine tasks, AI allows developers to focus on complex, creative work for faster development and higher-quality software releases.
At the annual Cybersecurity Summit: London, Information Security Media Group recently brought together top cybersecurity professionals, executives and thought leaders to find solutions to the latest threats, identity-related weaknesses and emerging risks posed by AI technology.
Welcome to Information Security Media Group's Black Hat and DEF CON 2024 Compendium featuring latest insights from the industry's top cybersecurity researchers and ethical hackers, as well as perspectives from CEOs, CISOs and government officials on the latest trends in cybersecurity and AI.
Large language models such as ChatGPT are trained on massive amounts of data generated from publicly available sources including Wikipedia, news, blogs, publications and Common Crawl. The problem lies in the datasets themselves - how they are licensed, sourced and used.
From interlinked navigation and electric vehicles to smart voice assistants and autonomous vehicles, Mercedes-Benz aims to harness AI using its vast data pools. The company's AI policy is governed by four principles: responsible data use, explainability, privacy and safety.
From skill shortages to cultural shifts and security risks, implementing AIOps presents significant challenges. By effectively addressing these challenges, CIOs can improve their organizations' IT operations management, foster scalability and enable predictive maintenance.
ISO/IEC 42001, launched in late 2023, is the world's first AI management system standard, offering a framework to ensure responsible AI practices. Craig Civil, director of data science and AI at BSI, discusses the importance of AI policies and BSI's plans to implement the standard.
The delay in the rollout of Nvidia's artificial intelligence chips could slow the rapid pace of AI development but is unlikely to cause a significant setback for the chip giant or its customers. The company delayed the release of its Blackwell B200 AI chips at least three months due to design flaws.
The Gartner CDAO playbook contains 10 plays that define a structure for the AI journey. This article outlines crucial steps for successful AI project execution. From building ecosystems to governance, Plays 6 to 10 address key challenges in scaling AI initiatives and managing associated risks.
Whistleblowers from OpenAI have reportedly complained to the Securities and Exchange Commission that the company unlawfully restricted employees from alerting regulators of the artificial intelligence technology's potential risks to humanity.
Gartner's comprehensive playbook for chief data and analytics officers outlines key steps to transform AI ambitions into disruptive realities. From defining strategy to measuring benefits, Gartner says this guide will pave the way for AI-driven innovation and leadership.
CISOs Shefali Mookencherry and Kenneth Townsend examine the implications of AI for copyright infringement and consent. They discuss the need for clear governance and responsible use of data and the evolving landscape of AI privacy issues in both the healthcare and non-healthcare sectors.
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