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The Shortcomings of AI

May 18, 2022 / Melody Smith / Comments Off on The Shortcomings of AI

Artificial intelligence (AI), with all its advantages and perks, has limitations. For example, a lot of people would be surprised at the extent to which AI is inherently domain-specific. This interesting topic came to us from Protocol in their article, “What can make even the best AI strategy fail?”

Many organizations may try out the latest and greatest general-purpose algorithms available, but even the best AI will fail without the proper context and data tuning for your specific scenarios.

There is a surprisingly straightforward reason so many companies struggle with AI-driven transformation. Most have little visibility and knowledge on how AI systems make the decisions they do, and as a result, how the results are being applied in the various fields. 

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 potential biases. We are the intelligence and the technology behind world-class explainable AI solutions.

Melody K. Smith

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

Sponsored by Data Harmony, harmonizing knowledge for a better search experience.

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.