Our AI Impact

 for the health of people

People_Stat-01

 

 Our AI Impact

 for the health of planet

Planet_Stat-03-01

 

 Our AI Impact

 for the health of business

Business_Stat-01-01

 

FOR THE HEALTH OF PEOPLE: EQUITY
Rwanda-Bridge-1-1
“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.” 
Read the Case Study ⇢ 

 

    ⇲ Implement & Scale
    DATA STRATEGY
    levi-stute-PuuP2OEYqWk-unsplash-2
    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. 
    Read the Case Study ⇢ 

     

      PREDICTIVE ANALYTICS
      carli-jeen-15YDf39RIVc-unsplash-1
      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. 
      Read the Case Study ⇢ 

       

        MACHINE VISION
        kristopher-roller-PC_lbSSxCZE-unsplash-1
        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. 
        Read the Case Study ⇢ 

         

          INTELLIGENT AUTOMATION
          man-wong-aSERflF331A-unsplash (1)-1
          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. 
          Read the Case Study ⇢ 

           

            strvnge-films-P_SSMIgqjY0-unsplash-2-1-1

            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

                  3 min read

                  AIQ: What Data Organization & Ethics Means for You

                  Featured Image
                  Synaptiq has spent the last decade studying data strategy and AI readiness across sectors and industries. We’ve consulted with clients, conferred with partners, collaborated with competitors, and conducted research to understand how and why organizations fail or succeed in their data and AI endeavors.

                   

                  We channeled our expertise into AIQ: an innovative framework for AI-ready data strategy and AI implementation, focusing on 11 critical capabilities proven to effectively enhance workflow integration and return on investment.

                  In this blog post, we'll explore in detail one of these 11 capabilities: Data Organization & Ethics For a broader understanding of AIQ, refer to our blog post titled "AIQ: What We Mean & What You Stand to Gain."

                  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.

                   

                  humankind of ai


                   

                  About Synaptiq

                  Synaptiq is an AI and data science consultancy based in Portland, Oregon. We collaborate with our clients to develop human-centered products and solutions. We uphold a strong commitment to ethics and innovation. 

                  Contact us if you have a problem to solve, a process to refine, or a question to ask.

                  You can learn more about our story through our past projects, blog, or podcast

                  Additional Reading:

                  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...

                  Customer Review Sentiment Analysis: A Business Case for Tokenization

                  Sentiment analysis is a must-have for organizations with a business-to-consumer (B2C) business model. This natural...