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

                  Data Organization & Ethics AIQ

                   

                  Data Organization & Ethics

                  Data Governance is an overarching framework of processes, roles, policies, standards, and metrics that ensure the effective and efficient use of information, enabling an organization to achieve its data-driven goals while respecting compliance and privacy demands.

                  Why does Data Organization & Ethics matter?

                  For data-focused companies, data and ethics are focused areas represented in the organizational structure of the company.

                  Complete the AIQ assessment

                  Ethics

                  Established culture, roles, workforce education, systems, and processes to promote data ethics as a core component within the organization to prevent harm and misuse of data across the data lifecycle.

                  My organization has an open forum for discussing and defining processes and policies around data ethics.

                  Data Ethics encompasses: ownership, transparency, privacy, intention, outcomes. Anyone with a role that includes using data in reporting, marketing, machine-learning algorithms or other business functions, needs to consider the possibility of violations occurring in any one of these five key data ethics principles.

                  My organization actively considers privacy and ethical implications of any analytical process that draws on data collected from people.

                  Organization

                  Defined org structure, vision, objectives, roles, and champions to support the management and use of data across its lifecycle within the organization.

                  My organization has a defined and communicated organization structure for everyone involved in data.

                  Organizational structure provides visibility to all employees by laying out the official reporting relationships that govern the workflow of the company. The structure may be centralized or decentralized (often in the form of a "center of excellence").

                  My organization has an executive sponsor charged with ensuring data and data literacy is a priority.

                  Data literacy encompasses the competencies required to successfully work with data. Without a baseline data literacy it is very difficult to stay competitive.

                  My organization has a defined data charter, data vision, data objectives and key results, and a dashboard for tracking key performance indicators.

                  A charter, specific to data, helps an organization define scope (both initial scope of data potential and as it grows), data activities, and data goals. It can also help to inform others in the organization about the importance of data and how they benefit from it.

                  My organization has a standard set of modern, analytical tools employees use.

                  Tools for working with data range from spreadsheets to statistical analysis software. By standardizing tools for data, it's much easier for an organization to effectively train its workforce.

                  My organization has a product or operational owner for internal and external applications.

                  To execute on a holistic data strategy there needs to be one or more business persons responsible for managing and improving processes for internal staff and customer experiences.

                  Performance Management

                  Actively support the development of workforce knowledge and skills on the use of data within the organization.

                  My organization has career tracks including skills and responsibilities and role progression for all roles involved in data.

                  Typically a career involves a growth path which takes an individual to a higher position in the organizational hierarchy over a period of time. A career track is a document that outlines the entire progression of a career so that staff know what they need to get to the next level. Career tracks are also the basis for job profiles and identifying training opportunities.

                  My organization considers data to be a core competency and actively educates employees on data literacy.

                  Learn more about Data Organization & Ethics

                  AIQ: What Data Organization & Ethics Means for You

                  Synaptiq has spent the last decade studying data strategy and AI readiness across sectors and industries. We’ve...

                  Data Organization & Ethics - AIQ Capability Overview

                  A Data Organization includes budget, formal structure, roles, systems and processes, including training programs to...

                  Complete the AIQ assessment