⇲ 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

                INDUSTRY
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                HEALTHCARE
                AI SERVICE
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                DATA STRATEGY

                Evaluating Data Maturity & Roadmapping for AI-Ready Data Governance and Healthier Patients

                Learn how laying the foundation for AI-ready data governance leads to long-term success.

                Problem:

                A health software non-profit needed to assess their data maturity and develop a strategy for achieving AI-ready data governance.

                Why is AI readiness important?

                Understanding your data maturity is the first step toward unlocking AI-driven capabilities that drive long-term success. 

                Get Ready to Roadmap with an AI Partner →

                Solution:

                Using our AIQ™ methodology, we carried out a series of assessments, workshops, and feedback sessions to evaluate our client’s current data maturity. We synthesized our findings into a comprehensive set of recommendations and a tailored 12-18 month roadmap to guide their future execution. We worked with our client to develop a data governance framework based on their business goals.

                Outcome:

                Our client was able to identify gaps in their current data maturity and use our deliverable to guide organizational changes in 2023, positioning them for success. Implementing our recommendations and roadmap will not only streamline our client’s operations but also enhance their provider and patient experiences, facilitating better-informed decisions and promoting a healthier society.

                7,052,426 patients are getting healthier from better-informed decision options from their provider.
                 
                HUMANKIND OF IMPACT