Innosol-Tech is a website for research, prototyping, and discussing the challenges of addressing impossibly hard problems (IHPs). Solving IHPs has a high payoff for creating new mission capabilities, products, and services, and significant market differentiation in a highly competitive marketplace. Solving IHPs requires the development of solution strategies, constant innovation and learning, and a focus on achievement and delivery. Innosol-Tech is dedicated to providing a platform for researchers, innovators, and problem solvers to collaborate on tackling impossibly hard problems (IHPs).

By fostering discussions and prototyping solutions, the website aims to drive progress in addressing these complex challenges. Success in solving IHPs can lead to the creation of groundbreaking mission capabilities, innovative products, and unique services that set businesses apart in a crowded market. To overcome IHPs, it is essential to devise effective solution strategies, embrace continuous innovation and learning, and maintain a steadfast focus on achieving and delivering results.

Topics in this blog are organized into the following categories:

  • Impossibly Hard Problems (IHP) - Provides insights on the characteristics of IHPs and approaches for developing market strategies, solution roadmaps, high-performance teams, and completed solutions. We present proven approaches for solving IHPs and delivering business success stories through a repeatable process and sustained strategic execution.
  • Agile Engineering (AE) - Agile has become the vogue project management process in many organizations and supports the try-learn-adapt principles frequently required to solve IHPs. Unfortunately, most Agile methods only focus on project cadence and management; they do not focus on how we do research and engineering work needed to address IHPs. This category presents proven methods and tools needed to "do the work" needed to execute an IHP solution strategy and deliver results.
  • Artificial Intelligence (AI) Applications - Provides insight into the proper applications of artificial intelligence technologies to solve IHPs. Importantly, AI technologies derive from the field of cognitive science and focus on the representation of expert knowledge to create reasoning systems with reliable and predictable performance. 
  • Machine Learning (ML) Applications - Provides insight into the proper applications of machine learning technologies to solve IHPs. ML technologies derive from the field of statistical pattern classification and focus on fitting mathematical models to data sets using optimization algorithms.
  • Cyber Inside (CI) Applications - Cybersecurity has rapidly moved from being a curiosity to a necessity in modern product architectures. Unfortunately, it is no longer sufficient to add cybersecurity as an afterthought.  Instead, cyber security is now a first-class architectural principle and must be proactively and provably designed into the product solution on "day one" of the solution design.

We look forward to sharing our best practices on these topics as InnoSol-Tech develops and grows as a leadership and solutions organization.  We solve Impossibly Hard Problems Today!

Enjoy your time at InnoSol-Tech!