Trend #2: The Increase of Explainable AI and Adaptive AI
In our blog covering the “Five Trends 2023: The focus is on the sustainable use of information,” we discuss the importance of Explainable AI and Adaptive AI increasing in the coming year.
Trey Norman, COO of Mindbreeze, states:
“Many companies are recognizing the benefits of "artificial intelligence (AI),” as a recent IEEE survey of global tech leaders shares that 98 percent of survey respondents agree that in 2023 and beyond, AI-powered autonomous, collaborative software and mobile robots will automate processes and tasks, including data analysis, allowing humans to be more efficient and effective.
This is precisely where "Explainable AI" comes into the picture. Explainability of the decisions of AI applications ensures more trust in the systems and acceptance on the user side. At the same time, the concrete benefits of AI are coming to the forefront (Adaptive AI). Smart systems will be used in specific use cases and functional areas much more than before. It is important that they can adapt independently to changing situations and conditions.”
In short, Explainable AI allows users of machine learning and AI to understand and build trust with the output of their AI systems. Comprehension and explainable systems permit AI models' highest-level learning and performance accuracy.
In regards to Adaptive AI, the term is exactly how it sounds. The ability to adapt based on analysis and real-time data of user behavior is critical to making changes to your model. Whether this is sales data to give you insights on your bottom line and performance or marketing data to measure brand performance to alter strategies to increase awareness and effectiveness. The list goes on and on with how AI can adapt to fit different departmental needs resulting in informed decision-making.
Want to learn more about our 2023 trends? We have compiled our list, and is available to download for even more information!
Latest Blogs
What Makes a Good RAG Solution? How Mindbreeze Sets the Gold Standard for Enterprise AI
If you’ve read an article or a newsletter in the AI community, you’ve probably heard of the phrase Retrieval-Augmented Generation, also known as RAG. RAG has emerged as a transformative technology, blending the power of language models with relevant, real-time information retrieval.
Multimodal LLMs are Revolutionizing Data Discovery
November 30, 2022, is a date that will live in history for many in the world of AI and tech. On that day, a new chatbot solution called ChatGPT was launched, and the rest, as they say, is history.