Our AI Impact

 for the health of people

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 Our AI Impact

 for the health of planet

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 Our AI Impact

 for the health of business

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FOR THE HEALTH OF PEOPLE: EQUITY
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“The work [with Synaptiq] is unprecedented in its scale and potential impact,” Mortenson Center’s Managing Director Laura MacDonald MacDonald said. “It ties together our center’s strengths in impact evaluation and sensor deployment to generate evidence that informs development tools, policy, and practice.” 
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    ⇲ Implement & Scale
    DATA STRATEGY
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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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      PREDICTIVE ANALYTICS
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      Thwart errors, relieve in-take form exhaustion, and build a more accurate data picture for patients in chronic pain? Those who prefer the natural albeit comprehensive path to health and wellness said: sign me up. 
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        MACHINE VISION
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        Using a dynamic machine vision solution for detecting plaques in the carotid artery and providing care teams with rapid answers, saves lives with early disease detection and monitoring. 
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          INTELLIGENT AUTOMATION
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          This global law firm needed to be fast, adaptive, and provide unrivaled client service under pressure, intelligent automation did just that plus it made time for what matters most: meaningful human interactions. 
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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 ⇢ 

             

              How Should My Company Prioritize AIQ™ Capabilities?

               

                 

                 

                 

                Start With Your AIQ Score

                  2 min read

                  Why the Humankind of AI?

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                  We ask Professor Oates, Why the Humankind of AI? "Because at the same time that you are deploying AI for a business, often times, simultaneously, you can be deploying AI for the greater good."

                  In this episode, you can hear Dr. Tim Oates is proud that his team looks closely at how AI tools will be used by prospective business customers to ensure the outcome is also good for people in general. He touches on the trade-offs between generality and power in computing, and admits the most interesting part of any AI engagement is the "back and forth" problem-solving sessions that keep all of this critical thinking on the discussion table.

                  Listen in as the UMBC Professor, co-founder, and chief data scientist of Synaptiq perspicaciously talks about applications of AI, strong and weak AI, and how he tries to teach his students to look up from the toolbox and be more philosophical about artificial intelligence.


                  Our Synaptiq podcast, The Humankind of AI, explores the ways in which AI and machine learning solutions can impact a business' bottom line, but more importantly: humanity's bottom line.

                  Join us, and our host, Nigel Peacock, as we feature interviews with guest experts in data, AI, machine learning, business, technology, healthcare, and more — and learn how many in the space are attempting to find answers to world class riddles.

                  Additional Reading:

                  Too Much Data, Too Little Time: A Business Case for Dimensionality Reduction

                  Introduction to Dimensionality Reduction

                  High-Dimensional Data

                  Imagine a spreadsheet with one hundred columns and...

                  BETTER Customer Review Sentiment Analysis: A Business Case for N-grams

                  Sentiment analysis is a useful tool for organizations aiming to understand customer preferences, gauge public...

                  Smart and Safe Innovation: Synthetic Data for Proof-of-Concept Projects

                  In the ever-evolving landscape of technology, innovation and experimentation are key drivers of success. However, the...