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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

                  4 min read

                  How Should My Company Prioritize AIQ™ Capabilities?

                  Featured Image

                  Synaptiq created AIQ™, a collection of 11 capabilities shown to help companies succeed with their artificial intelligence (AI) initiatives, to guide investment in the most important aspects of AI readiness. But what if your company doesn’t have enough resources to invest in all 11 capabilities at once?

                  WHERE SHOULD YOU START?

                  The answer is tricky. AIQ™ is a cohesive strategy, not an ordered “to-do” list. So, there isn’t an objectively “most important” capability. Subjectively, the most important capability is the one that best suits your company’s near-term business objectives.

                  For example, if your company’s current top objective is sourcing better data to support in-use data applications, then Data Sourcing should be your primary focus. On the other hand, if your company’s top objective is setting expectations for AI and its role in your organization, then Data Organization & Ethics is key.

                  Note that it’s important to consider your resource needs in addition to your business objective wants. Maybe you want to source better data, but developing Data Sourcing to achieve this objective would require an investment of $500,000. Would the return on investment (ROI) be positive or negative? Could you invest in a different capability and receive a greater ROI? Companies with limited resources have a vested interest to prioritize funding flow by ensuring that the ROI from developing one capability is large enough to develop the next, and so on.


                  Step #1: Determine your business objectives and how AI can serve them.

                  • What are your business objectives (in order of priority and timing)?

                  • How would your data and AI serve each business objective?

                  • What AIQ™ capabilities are needed for AI to serve each business objective?

                  Step #2: Evaluate your strengths and weaknesses in terms of AIQ™.

                  • Do you already have maturity in one or more capabilities?

                  • How much will you need to invest to achieve the appropriate level of maturity in each capability?

                  • What is your desired timeline for establishing the right level of maturity in each capability?

                  Step #3: Consider the logistics of raising your AIQ™.

                  • What existing, in-house resources and talent do you have for each capability?

                  • What ROI can you expect from investing in each capability?

                  • Will investing in one capability help you invest in another?

                  • Are you open to using outside vendors?


                  #1: Your company’s approach to raising its AIQ™ will likely not be linear. (If we wanted to encourage a linear approach, we would’ve made our AIQ™ graphic a line, not a circle.) It’s simply not efficient to sequentially develop maturity in Data Sourcing, then Data Architecture & Governance, then Data Engineering, etcetera. Synergy is what makes the capabilities useful. What use is Data Sourcing maturity when you lack maturity in other capabilities needed to use that data? Where’s the synergy when one capability is far more developed than the others?

                  #2: That said, there are six fundamental AIQ™ capabilities, and as the name suggests, these will likely be the first that you develop. These capabilities aren’t objectively more important, but they’re a prerequisite for developing maturity in the other seven capabilities. If the process of raising your AIQ™ is a construction project, the six fundamental capabilities are the foundation.

                  1. Data Engineering
                  2. Data Architecture & Governance
                  3. Data Product Management
                  4. Data Organization & Ethics
                  5. Data Operations
                  6. Business Intelligence

                  CONCLUSION & TAKEAWAY

                  Ultimately, there’s no easy answer to the question, “How should my company prioritize AIQ™ capabilities.” The roadmap to raising your AIQ™ is just that—yours. It’s likely that your company will benefit from a roadmap that (i) centers on your business objectives, (ii) considers your resource needs and investments available, and (iii) adopts a nonlinear approach to maximize synergy throughout the journey. Beyond these best practices, we can’t offer general advice for such a personalized process.

                  If you’re interested in ensuring that your company approaches AIQ™ in the most efficient and effective manner, consider reaching out for a consultation. Synaptiq can help you deepen your understanding of each of the 11 AIQ™ capabilities: what it means, why it matters, and how it fits into your company.


                  About Synaptiq

                  With over 60 clients in 20 sectors worldwide, Synaptiq is a full-scale AI consultancy delivering impactful solutions with applied machine learning and vision, natural language processing, and other data-driven techniques. If you are an organization looking to explore digital transformation, we can help you unlock the power of AI and data science. 

                  For more information about Synaptiq, please visit www.synaptiq.ai

                  HOW SYNAPTIQ CAN HELP

                  Synaptiq focuses on the humankind of AI; building a better world as we lean into an age of human and machine interaction.

                  We believe solving serious challenges, making real impact and saving lives is worth every waking moment. So we collaborate and make thoughtful considerations across disciplines examining past, present and future models of merit. Whether history, science, math, nature, human behavior; they all inform the data and ideas that help us find answers to world-class riddles.

                  We keep our AI on people because AI is how we do it, humanity is why we do it.

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