crosoft is leading the charge in AI transformation, with its Copilot and Copilot stack promising better business outcomes across roles and industries. Some have labeled Microsoft as the "maestro" of AI, but others, caution against giving one tech giant this title too early.

he AI hype train has gained momentum, leading to companies using terms like "AI-enabled" and "AI-powered" in their advertising, even if their products lack real AI capabilities. This trend, known as "AI washing," has caught the attention of the US Securities and Exchange Commission. The SEC orders found that the companies, Delphia and Global Predictions, violated rules by overstating their AI capabilities, resulting in fines and penalties. These actions serve as a warning for other companies to take their AI claims seriously to avoid misleading investors.

With the launch of Devin AI this month, coding with artificial intelligence takes on a new life: A chatbot handling the entire process from prompting to code generation to testing to bug-fixing — and even deployment.

AI will dramatically change jobs and society in the near future, automating routine tasks and spurring the growth of tech startups. However, it will also create new roles and enhance existing ones, emphasizing the importance of creativity and emotional intelligence.

There’s a new “gen” in the artificial intelligence (AI) lexicon. While Nvidia CEO Jensen Huang recently claimed that “artificial general intelligence” could emerge within the next five years, many experts believe that the new technology is not a threat to human jobs or lifestyle in the near future.

Both Neuralink's brain-computer interface (BCI) chip and Apple's Vision Pro headset have technologists peeking into their crystal balls, wondering if either could become a viable mechanism for operating the computer of the future.

AI-powered chatbots, including popular ones like ChatGPT, are making waves right now. But if you're using one regularly, you've likely hit a few bumps in the road. The idea of chatting with an AI sounds futuristic, but when it comes down to those nitty-gritty, complex questions, you might find yourself more often frustrated than amazed.

Implementing a machine learning project in organizations is often a complex and challenging endeavor. Statistics reveal that a staggering 87% of data science projects never make it into production. The journey from concept to deployment demands not only technical expertise but also strategic foresight and robust project management.

The rise of generative AI tools has been meteoric, yet the level of trust in these technologies remains somewhat stagnant since the emergence of platforms like ChatGPT. Addressing this crucial issue, IBM has stepped up with a promising solution - Watsonx.governance.

Generative AI has revolutionized the tech world, and its latest breakthrough comes from merging with robotics. As we move towards the end of 2023, it's evident that AI-driven robots are becoming more adept and are set to transform various industries. This combination is not just about smarter machines, but about creating new efficiencies and capabilities. In this post, we'll delve into.