1. 5 Steps to Adopt Artificial Intelligence in Your Business

    We're reaching an inflection point with artificial intelligence (AI). This isn't the AI that pop culture has conditioned us to expect; it's not sentient robots or Skynet or even Tony Stark's Jarvis assistant. This AI plateau is happening under the surface, making our existing technology smarter and unlocking the power of all the data that enterprises collect.

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  1. Categories

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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
  2. Quotes

    1. Right now, AI is being driven by all the recent progress in ML. There's no one single breakthrough you can point to, but the business value we can extract from ML now is off the charts.
    2. When we're working with a company, we start with an overview of their key technology programs and problems. We want to be able to show them how natural language processing, image recognition, ML, etc. fit into those products, usually with a workshop of some sort with the management of the company.
    3. To prioritize, look at the dimensions of potential and feasibility and put them into a 2x2 matrix.
    4. Sometimes this can take a long time to do.
    5. You don't need a lot of time for a first project; usually for a pilot project, 2-3 months is a good range.
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