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Data Transformation and AI - By Industry - Scientific, Research, and Bioinformatics data Pain Points

For context I am professionally an Integration/Interoperability Engineer that has worked for Sterling Commerce, IBM, HealthCurrent and NextGen Healthcare. Myself personally I am a serial entrepreneur and product developer that has created 5 internet based technology services from idea to market (2 sold and 3 failed to gain traction). I like to leverage a first-principles thinking approach of breaking down problems to their most basic components and rebuilding solutions from the ground up, rather than fumbling through existing industry assumptions. Long story short, this is me spitballing with CoPilot AI to brainstorm a potential new product ideas in an area that I'm intimately familiar with. If any of this interests you please feel free to reach out. This is a strong capstone question, because Scientific, Research, and Bioinformatics data sits at the extreme end of semantic fragility and structural diversity . It’s also the domain where people often assume tooling exists—yet in ...
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Data Transformation and AI - By Industry - Industrial IoT, Utilities, and Energy Pain Points

 For context I am professionally an Integration/Interoperability Engineer that has worked for Sterling Commerce, IBM, HealthCurrent and NextGen Healthcare. Myself personally I am a serial entrepreneur and product developer that has created 5 internet based technology services from idea to market (2 sold and 3 failed to gain traction). I like to leverage a first-principles thinking approach of breaking down problems to their most basic components and rebuilding solutions from the ground up, rather than fumbling through existing industry assumptions. Long story short, this is me spitballing with CoPilot AI to brainstorm a potential new product ideas in an area that I'm intimately familiar with. If any of this interests you please feel free to reach out. This is another excellent choice of focus , because Industrial IoT, Utilities, and Energy share a set of interoperability problems that are deeply technical, extremely operational, and still very poorly served by existing tooling . B...
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Data Transformation and AI - By Industry - Logistics, Supply Chain, and Trade Pain Points

For context I am professionally an Integration/Interoperability Engineer that has worked for Sterling Commerce, IBM, HealthCurrent and NextGen Healthcare. Myself personally I am a serial entrepreneur and product developer that has created 5 internet based technology services from idea to market (2 sold and 3 failed to gain traction). I like to leverage a first-principles thinking approach of breaking down problems to their most basic components and rebuilding solutions from the ground up, rather than fumbling through existing industry assumptions. Long story short, this is me spitballing with CoPilot AI to brainstorm a potential new product ideas in an area that I'm intimately familiar with. If any of this interests you please feel free to reach out. This domain is exactly where an any‑to‑any, AI‑assisted transformation engine can deliver outsized value, because Logistics, Supply Chain, and Trade sit at the intersection of legacy standards, global variation, contractual semantics...
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Data Transformation and AI - By Industry - Government, Public Sector, and Social Services Pain Points

For context I am professionally an Integration/Interoperability Engineer that has worked for Sterling Commerce, IBM, HealthCurrent and NextGen Healthcare. Myself personally I am a serial entrepreneur and product developer that has created 5 internet based technology services from idea to market (2 sold and 3 failed to gain traction). I like to leverage a first-principles thinking approach of breaking down problems to their most basic components and rebuilding solutions from the ground up, rather than fumbling through existing industry assumptions. Long story short, this is me spitballing with CoPilot AI to brainstorm a potential new product ideas in an area that I'm intimately familiar with. If any of this interests you please feel free to reach out. This is an excellent domain to examine, because Government, Public Sector, and Social Services interoperability has some of the highest unmet need and least effective tooling of any industry that moves mission‑critical data. Below i...
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Data Transformation and AI - By Industry - Insurance / Payers / Revenue Cycle Pain Points

 For context I am professionally an Integration/Interoperability Engineer that has worked for Sterling Commerce, IBM, HealthCurrent and NextGen Healthcare. Myself personally I am a serial entrepreneur and product developer that has created 5 internet based technology services from idea to market (2 sold and 3 failed to gain traction). I like to leverage a first-principles thinking approach of breaking down problems to their most basic components and rebuilding solutions from the ground up, rather than fumbling through existing industry assumptions. Long story short, this is me spitballing with CoPilot AI to brainstorm a potential new product ideas in an area that I'm intimately familiar with. If any of this interests you please feel free to reach out. Absolutely. The Insurance / Payers / Revenue Cycle domain is one of the most deceptively painful interoperability environments. On paper, it looks standardized (X12, ICD, CPT, HL7), but in practice it is rule‑driven, exception‑heavy...
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Data Transformation and AI - By Industry - Medical Imaging & Diagnostics (PACS, RIS, OEMs) Pain Points

For context I am professionally an Integration/Interoperability Engineer that has worked for Sterling Commerce, IBM, HealthCurrent and NextGen Healthcare. Myself personally I am a serial entrepreneur and product developer that has created 5 internet based technology services from idea to market (2 sold and 3 failed to gain traction). I like to leverage a first-principles thinking approach of breaking down problems to their most basic components and rebuilding solutions from the ground up, rather than fumbling through existing industry assumptions. Long story short, this is me spitballing with CoPilot AI to brainstorm a potential new product ideas in an area that I'm intimately familiar with. If any of this interests you please feel free to reach out. Please elaborate on the following: Under Industry-by-Industry Assessment > Medical Imaging & Diagnostics (PACS, RIS, OEMs) are there any Pain Points and what are they? Great pivot. Medical imaging and diagnostics is one of the ...
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Data Transformation and AI - By Industry - Healthcare Core Interoperability Pain Points

For context I am professionally an Integration/Interoperability Engineer that has worked for Sterling Commerce, IBM, HealthCurrent and NextGen Healthcare. Myself personally I am a serial entrepreneur and product developer that has created 5 internet based technology services from idea to market (2 sold and 3 failed to gain traction). I like to leverage a first-principles thinking approach of breaking down problems to their most basic components and rebuilding solutions from the ground up, rather than fumbling through existing industry assumptions. Long story short, this is me spitballing with CoPilot AI to brainstorm a potential new product ideas in an area that I'm intimately familiar with. If any of this interests you please feel free to reach out. Being in Healthcare, I asked CoPilot to elaborate on Healthcare Core Interoperability (EHR ↔ EHR) assessment and more specifically the Pain Points. Absolutely — and this is a great place to zoom in , because these four pain points are ...
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