Agentic AI: The Next Generation of Machine Learning Technology
Enterprises must address trustworthiness and security concerns before deploying agentic AI, which promises to improve efficiency and free up IT staff for critical projects.
Artificial Intelligence
AGI No Longer a Singularity, Says OpenAI CEO Sam Altman; Industry Shifts Focus to Subscription Models
OpenAI CEO Sam Altman downplays AGI's impact, while the AI industry focuses on subscription models and new features, sparking debate on the future of artificial general intelligence.
AI Adoption Hinges on Practical, Reliable Applications for Mainstream Developers
The AI industry needs to shift focus from primitive tools to user-friendly solutions, making AI accessible to workaday developers and driving widespread adoption.
AI Adoption in Enterprises: Venture Capitalists Weigh In on 2025 Predictions
Venture capitalists share insights on AI adoption, enterprise budgets, and exit environments in 2025, highlighting key trends and opportunities in the AI landscape.
AI Agents Revolutionize Business Operations with Automation and Expertise
AI agents are transforming business operations by automating tasks, providing expertise, and enhancing customer experiences, with a market size expected to reach $3.86 billion by 2023.
AI Agents: The Next Big Thing in AI, But What Exactly Are They?
Despite the buzz around AI agents, there's no clear definition of what they are, leading to confusion and differing views from tech giants and experts.
AI App Spending Surges to $1.42 Billion, Led by ChatGPT's Dominance
Consumer spending on AI apps reaches new heights, driven by ChatGPT's massive success, with implications for Apple, Google, and the industry as a whole.
AI Apps Dominate App Store Charts, But Quality Remains a Concern
AI-focused apps are topping App Store charts, but many are low-quality and misleading, making it difficult for users to find reliable tools.
AI Backlash: A Wake-Up Call for Pragmatic Implementation
Developers are tired of AI hype, seeking practical solutions for real-life use cases, and a shift towards making AI 'boring' and seamlessly integrated into existing infrastructure.