CONSTRUCTION & REAL ESTATE
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Discover how crafting a robust AI data strategy identifies high-value opportunities. Learn how Ryan Companies used AI to enhance efficiency and innovation.
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    LEGAL SERVICES
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    Discover how a global law firm uses intelligent automation to enhance client services. Learn how AI improves efficiency, document processing, and client satisfaction.
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      HEALTHCARE
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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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        LEGAL SERVICES
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        Learn how Synaptiq helped a law firm cut down on administrative hours during a document migration project.
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          GOVERNMENT/LEGAL SERVICES
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          Learn how Synaptiq helped a government law firm build an AI product to streamline client experiences.
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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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              ⇲ Artificial Intelligence Quotient

              How Should My Company Prioritize AIQ™ Capabilities?

               

                 

                 

                 

                Start With Your AIQ Score

                  Our Blog: The Humankind of AI

                  We write to inform, share, and consider. We exist to build a brighter world for future generations through novel applications of machine learning and AI: humbled by our responsibility to be ethical participants. We hope you learn more about who we are, what we're writing about, and AI's impact on humankind.

                  The Cold Start Problem

                  High-quality data is the most scarce and essential ingredient for AI success.

                  One of the main reasons why large language models like ChatGPT perform so well is that they were trained on massive amounts of data (e.g., the internet) and improved with human feedback.

                  That said, one of the not so obvious things I learned shortly after starting Synaptiq is how often you will hit a “cold start problem.”

                  Take, for example, building an AI recommendation engine for an e-commerce platform. There are usually two main ways to approach it:

                  1. Recommending similar products based on others you’ve purchased in the past

                  2. Recommending products based on your profile and what others with similar profiles purchased

                  In the first approach, as long as you have a past purchase history and a well-defined product catalog, an AI model is able to make reasonable recommendations.  In the second model, as long as you have a profile and there are others with similar profiles that have purchased products in the past, recommendations are possible.

                  But, what if you haven’t purchased products in the past, you don’t have a profile yet, or there aren’t others with similar profiles that have purchased products?

                  This is a classic cold start problem, and it’s a common challenge across a wide range of AI applications like:

                  • Healthcare diagnostic tools that require diverse patient data across conditions

                  • Financial fraud detection that requires examples of legitimate and fraudulent transactions

                  • Customer service chatBots that require historical conversation logs to provide relevant answers to questions

                  To overcome a cold start problem, there are three creative options :

                  1. Data sourcing

                  2. Product design and user experience

                  3. Go-to-market

                   

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                  The Cold Start Problem

                  By far the biggest lesson I’ve learned since getting involved in AI is that quality data is the...