Emerging technologies are pretty much woven into our everyday lives now, shaping how we communicate and how we tackle big global issues. From artificial intelligence (AI) to blockchain, the Internet of Things (IoT) and biotechnology, these tech advancements are moving fast and making their way into all kinds of industries. They’re not just changing how businesses operate—they’re also shifting our societal norms and what we expect from the future. This interesting news came to us from The Express Tribune in their article, “AI tops World Economic Forum’s list of top 10 emerging technologies of 2024.”
AI, in particular, stands out as one of the most game-changing technologies around. It’s everywhere, from the virtual assistants we chat with like Siri or Alexa to the complex algorithms that power self-driving cars. AI is making huge strides in healthcare, helping improve diagnostic accuracy and even leading to more personalized treatments. In finance, AI is shaking things up by transforming trading systems and helping manage risk more efficiently. The real magic of AI is its ability to sift through massive amounts of data quickly and accurately, giving organizations the tools they need to make smarter decisions and run things more smoothly.
As AI, blockchain, IoT and biotech continue to grow, they’ve got the potential to tackle some of the world’s toughest challenges, and ultimately, make life better for millions of people. But we’ve got to be smart about how we handle these technologies. By embracing them thoughtfully and responsibly, we can unlock their full potential and help create a future that’s more innovative, efficient and fair for everyone.
Not all emerging technologies have had smooth sailing, and some have been less successful or faced significant hurdles along the way. Even though 2024 is in it’s third quarter, it is interesting to look at what was predicted as top emerging technologies and what came to fruition.
One of the trickiest parts of AI right now is that most people don’t fully understand how it works or how to interpret its results. That’s where explainable AI comes into play. It’s all about making AI’s decision-making process more transparent so people can trust the outcomes. This is especially important when AI is being used in areas like data security or safety, where understanding how an AI reached its conclusions can make all the difference.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
