Machine learning solutions can be considered a subdivision of artificial intelligence (AI), with multiple machine learning algorithms combined to create AI. Together, they are advancing nearly every industry by helping them work smarter, and they’re becoming essential technologies for businesses to maintain a competitive edge. DATAVERSITY brought this interesting information to our attention in their article, “Machine Learning Solutions.”
Demand for these technologies—and professionals skilled in them—is booming. According to a report from research firm Gartner, the average number of AI projects in place at an organization is expected to more than triple over the next two years.
Adaptable machine learning solutions can be incredibly dynamic and are used to resolve various problems, ranging from recognizing spam to supporting chatbots and virtual personal assistants. This exponential growth is posing problems for organizations. They report that their top challenges with these technologies include a lack of skills, difficulty understanding AI use cases and concerns with data scope or quality.
This isn’t surprising. Most organizations have little knowledge on how AI systems make the decisions they do, and as a result, how the results are being applied in the various fields that AI and machine learning are being applied. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.
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.
