CONSTRUCTION & REAL ESTATE
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Discover how crafting a robust AI data strategy identifies high-value opportunities. Learn how Ryan Companies used AI to enhance efficiency and innovation.
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    LEGAL SERVICES
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    Discover how a global law firm uses intelligent automation to enhance client services. Learn how AI improves efficiency, document processing, and client satisfaction.
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      HEALTHCARE
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      A startup in digital health trained a risk model to open up a robust, precise, and scalable processing pipeline so providers could move faster, and patients could move with confidence after spinal surgery. 
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        ⇲ Dive Into
        LEGAL SERVICES
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        Learn how Synaptiq helped a law firm cut down on administrative hours during a document migration project.
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          GOVERNMENT/LEGAL SERVICES
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          Learn how Synaptiq helped a government law firm build an AI product to streamline client experiences.
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            Mushrooms, Goats, and Machine Learning: What do they all have in common? You may never know unless you get started exploring the fundamentals of Machine Learning with Dr. Tim Oates, Synaptiq's Chief Data Scientist. You can read and visualize his new book in Python, tinker with inputs, and practice machine learning techniques for free. 

            Start Chapter 1 Now ⇢ 

             

              ⇲ Artificial Intelligence Quotient

              How Should My Company Prioritize AIQ™ Capabilities?

               

                 

                 

                 

                Start With Your AIQ Score

                  Lisa Peacock

                  Lisa writes about the intersection of human-centered design on AI and Machine Learning, the power of using your real brand voice, and creativity in business. She likes golden retrievers, singing in the shower, and throws a mean soiree´.

                  For the love of a data scientist! It’s time. (To start deploying your AI solutions).

                  Are we comparing our data scientists to God with that title? Not quite. Disrupting an old, informal idiom your exasperated mom might have once used to get your attention? Perhaps. Filling in the blank on our favorite MadLib? Maybe. Being provocative to get you to ask us more AI questions? Definitely. But what is without question, is the ethical responsibility that the data science field will need to demonstrate over the next decade. Our global problems are big. They are on the rise. And everyone needs to be paying attention and saying yes to AI to solve them. It's time.