The latest technology is shaking things up in our world. From artificial intelligence (AI) to blockchain, emerging technologies are not just buzzwords—they’re transforming the way we live, work and play. FedScoop brought this important topic to us in their article, “Using AI and database technologies to drive innovation.“

AI is like having a super-smart assistant that never sleeps. It’s powering everything from your smartphone’s voice assistant to complex data analysis in businesses. Imagine having AI help you sort through thousands of emails or even predict what you’ll want for dinner. It’s making our lives easier and our work more efficient.

Blockchain isn’t just about cryptocurrencies like Bitcoin. It’s a secure way to record transactions and data, making it invaluable for industries like finance, healthcare and supply chain management. Think of it as a digital ledger that everyone can trust. It’s bringing transparency and security to areas that desperately need it.

Remember when virtual reality was just for gamers? Now, it’s being used for everything from virtual meetings to training simulations. Augmented reality, on the other hand, overlays digital information onto the real world—think Pokémon Go. These technologies are creating immersive experiences that are changing how we interact with the world.

With the push for sustainability, renewable energy tech like solar panels and wind turbines are getting a lot of attention. Innovations in this space are making clean energy more efficient and affordable.

Emerging technologies are more than just fancy gadgets; they’re driving real change and innovation across various sectors. The biggest challenge is that most organizations have little knowledge on how AI systems make decisions and how to interpret AI and machine learning results. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and it potential biases. Why is this important? Because explainability becomes critical when the results can have an impact on data security or safety.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.