⇲ 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

                'Ready for AI' Means: You Have A Lot More Ready Than Just Your Data

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                What does it mean to be 'Ready for AI'? It's more than just having data. In fact, one of the most important things to be 'ready' is your leadership's mindset. Having strategic decision makers that are true enthusiasts, and those who are open to the likely transformative journey that AI may take you on is tantamount to success, to scale, to making an impact across the organization.

                Listen in on a conversation with our CTO, Erik LaBianca, as he encourages organizations to be strategic and open to the transformative experiences that can happen when you are really ready for AI.

                 

                "When you're looking at any kind of an AI journey, you should be thinking about AI being a transformative influence on your company - and that is strategic. And that means you need to be thinking on a longer time scale. It means you need to be thinking across the entire company. It means you need to be thinking about possibly changing your product, changing the way that you sell things - all with the goal of creating that better data asset, leveraging that data asset and becoming transformed. And if you're stuck down in an analytics department that's just trying to do something very tactical, your scope of impact will be very limited. So we're always looking to have strategic decision makers that really have their ears to the ground with the business on the implementation team for our AIQ assessments.”

                 


                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.

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