Prashanth Brahmandam is an experienced advisor with a wealth of knowledge in technology, AI, machine learning, analytics, application development, and cloud. Prashanth has a passion for extending his expertise to companies that lack access to such resources, and helping them thrive and succeed. His ability to evaluate the feasibility and potential impact of implementing AI and machine learning solutions, assessing the ROI of technology investments, and building scalable solutions by implementing best practices in software development are just some of the ways he can add value to organizations. In our interview, he shares his insights on disruptive trends in the industry and highlights the most impactful project he has been involved in as an executive.

What are your areas of expertise?

I can provide guidance and insight on various topics within the domains of technology, AI, machine learning, analytics, application development, cloud, and design thinking-based user journeys. I can provide best practices, offer recommendations, help with problem-solving, and solution design.

What's your main motivation for being an advisor?

My main motivation in being an advisor stems from two key factors.

Firstly, I am driven by the desire to extend the impact of my knowledge and expertise, gained from serving large enterprises and the best tech organizations, to companies that may lack access to such resources. By serving as an advisor, I aim to share valuable insights, guidance, and support, ultimately helping these organizations thrive and succeed.

Secondly, I am motivated by the opportunity to immerse myself in new situations and solve unique problems that differ from those I typically encounter in my current role. Serving as an advisor allows me to broaden my understanding by engaging with diverse challenges and gaining exposure to a variety of perspectives.

What types of situations are you capable of advising on?

As an advisor with expertise in technology, AI, machine learning, analytics, application development, and cloud, I believe I can add the most value in situations where these areas intersect with strategic decision-making and problem-solving.

Specifically, I can contribute significantly in guiding companies through technology adoption and transformation initiatives. Whether assessing the feasibility and potential impact of implementing AI and machine learning solutions, leveraging analytics to derive actionable insights from data, driving rapid prototypes and MVPs of solutions, and planning scaling of solutions, I can provide valuable insights and recommendations.

Additionally, I excel in helping organizations align their technology strategies with their overall business objectives. This includes evaluating the feasibility and ROI of technology investments, identifying opportunities for process optimization and automation, defining data-driven strategies for competitive advantage, and building scalable solutions by implementing best practices in software development and deployment.

Do you see any disruptive trends on the horizon in your industry or position?

AI and machine learning along with thoughtfully designed solutions and thorough user research have the potential to disrupt most industries. Generative AI specifically has tremendous potential to solve many problems we face today in a radically simpler, efficient, and high-quality manner. This opens up the potential of new business models as well as the potential to challenge incumbents in many sectors, and hence disrupt work as we know it today.

Tell me about the most impactful project or decision you've been involved in as an executive.

Many impactful projects I have worked on were during the time I was consulting with McKinsey & Company and my work at Meta Platforms, and are confidential in nature. More recently, I had an opportunity to serve as a fractional CTO of a startup aimed at matching venture capitalists/investors to female founders. By creating an intuitive solution based on deep domain knowledge, and backed by AI-based algorithms to assess founder readiness for raising capital, identifying gaps and improvements in their approach, and matching investors to founders that align with their investment philosophy, we believe this has the potential to greatly increase funding for the underserved female founder population.

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