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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
    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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      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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        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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          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. 

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              How Should My Company Prioritize AIQ™ Capabilities?





                Start With Your AIQ Score

                  2 min read

                  AIQ: What Data Organization & Ethics Means for You

                  Featured Image
                  Synaptiq has spent the last decade studying data and artificial intelligence (AI) across a wide range of industries. We’ve consulted with clients, conferred with partners, collaborated with competitors, and conducted research to understand how and why organizations leverage these technologies.


                  Our ultimate takeaway?

                  AIQ: a novel approach to data and AI, centered on 11 key capabilities shown to facilitate successful workflow integration and return on investment (ROI).

                  This blog post will deep-dive into one of the 11 capabilities: Data Organization & Ethics. We’ll discuss what it is, how it’s done (when it’s done right), and why it matters. Or, you can read an overview of AIQ, including all 11 capabilities, in our blog post, “AIQ: What We Mean & What You Stand to Gain.“


                  What is Data Organization & Ethics?

                  Data Organization & Ethics is the bedrock for the other ten AIQ capabilities.  It consists of everything in an organization that helps ensure data “flow” is organized to promote efficiency and prevent harm. This might include budget, formal structure, roles, systems, and processes, including training programs to educate all employees on the importance of data and, importantly, internal expectations for ethical data handling.


                  Data Organization & Ethics Done Right

                  Data Organization & Ethics requires at least one leader (preferably a c-level executive) with a clear vision for their organization’s data use. They should understand the ethical implications of data-powered applications and processes—and intentionally, frequently share their knowledge with other leaders. This communication ensures that an organization’s data use is anchored by good intentions with leadership support.

                  Data Organization & Ethics also demands that leadership define and apply its expectations for responsible, ethical data use in the form of budget, formal structure, roles, systems processes, etc. This ensures that all members of an organization are aware of the expectations and capable of carrying them out. Data Organization & Ethics-oriented performance management (e.g., in the form of training programs) is perhaps the most powerful tool for an organization to ensure that communication extends from leadership to team members.  This communication ensures that Data Organization & Ethics becomes “company culture.”


                  Why Data Organization & Ethics Matters

                  Data Organization & Ethics ensure (i) that an organization’s leaders have a vision for responsible, ethical data use and (ii) that this vision is communicated between leaders and, ultimately, throughout every level of the organization. Given the impact of data-powered applications and processes, organizations must understand the implications of their decision-making and implement strong ethics from the ground up.

                  With no Data Organization & Ethics, there is a tremendous amount of inefficiency and risk in a business. You can learn how Data Organization & Ethics fits into AIQ™ by reading our blog. Or, take our AIQ assessment to determine where your organization stands for each of the 11 capabilities.

                  Additional Reading:

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                  Transparency or Complexity: Understanding the Powers and Pitfalls of Black Box AI

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