Page 178 - Cyber Defense eMagazine December 2022 Edition
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Before you assume that owning your AI/ML IP necessitates recruiting a team of data scientists and AI
            engineers, low-code offers a very practical solution.  While pre-built AI/ML models and open source
            libraries can be easily integrated into the environment, these resources can be customized (by your
            existing developer team as previously established) into your own proprietary IP.  Training these models
            with your own data, you can create your own “derived” AI, which you can tailor to your own unique
            business  cases.    Brian  Sathianathan,  CTO  and  Co-founder  of  Iterate.ai,  affirms,  “AI  development
            follows the 80/20 rule; 20% of the AI methods can address 80% of your AI solutions in the market.
            Derived AI is more than sufficient for most organizations to capture those 20% of methods, and
            leaders should treat it as a competitive advantage.”  Keeping your own AI model development in-
            house ensures your complete stewardship of your valuable data and its privacy, as well as the flexibility
            to use those models and their algorithms for any other use cases.  Again, adopting low-code within your
            organization affords innumerable benefits for your business strategy.

            The general philosophy around digital innovation is to resist inertia, be agile, and adapt to change.  As
            such, digitally forward leaders and their organizations should always have a sense of urgency about
            technology.  When thinking about innovation, today is the day to start.  Tomorrow is too late.  Low-
            code is no exception; the opportunities you embrace with its strategy will pay off the sooner you start.





            About the Author

            Solomon Ray has extensive experience in  management consulting,
            startups,  and  technology.  He  has  worked  at  companies  such  as
            Samsung, Applied Materials, and Xerox PARC, advised seed-stage

            startups, and consulted large enterprises. He holds a BS in Electrical
            Engineering  from  UCLA  and  an  MBA  from  the  Johnson  School  of
            Management at Cornell University.































            Cyber Defense eMagazine – December 2022 Edition                                                                                                                                                                                                         178
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