For Faster of Adoption of AI, Ensure Data is Properly Curated

For Faster of Adoption of AI, Ensure Data is Properly Curated

Notwithstanding a fear of artificial intelligence (AI), as expressed in movies and shows such as the Ex Machina or Person of Interest, the use of AIs, or cognitive computing systems, will continue to grow. According to a Research and Markets report, the artificial intelligence market will grow from $419.7 million in 2014 to $5.05 billion by 2020.

Doing its part to create this market, IBM recently released new and expanded cognitive APIs that enhance Watson’s emotional and visual senses. Likewise, Google has open sourced TensorFlow, its machine learning framework, and SyntaxNet, its neural network framework for building applications that understand human language.

While technology advances, such as neural networks, machine learning, natural language processing and cloud scale are making AIs possible, the quality of any AI can only be as good as the data it processes. To ensure the optimal function of an AI, we need to feed it only healthy data.

A recent article discusses the 4 necessary steps to curate data going into a cognitive computing system.

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