Welcome to my artificial intelligence (AI) and machine learning (ML) blog, tailored specifically for go-to-market professionals, including Chief Commercial Officers, Heads of Partnerships, Product Managers, Marketing Directors, Sales Executives, and other leaders in seeking to navigate the rapidly evolving tech landscape.
Are you a Chief Commercial Officer, responsible for driving revenue growth through strategic partnerships and market expansion? Perhaps you’re a Head of Partnerships, focused on building strategic alliances to enhance your company’s offerings. Maybe you’re a Product Manager, tasked with shaping the features and functionalities of tech products to meet market demands, or a Marketing Director responsible for crafting messaging strategies to captivate your audience. Or you could be a Sales Executive, working diligently to translate technical innovations into value propositions that resonate with clients. If you find yourself in any of these roles, and like me, have grappled with the intricate world of artificial intelligence (AI) and machine learning (ML), these blogs are here to help.
I’ve been in your shoes. As the Chief Commercial Officer at Kavout, a pioneering data provider with trading signals for investment firms, I found myself struggling to keep up with the jargon my technical colleagues used when discussing AI/ML models and their impact on our customers. As a business stakeholder, I wanted to ask the right questions, understand why certain technical tradeoffs were necessary, and ensure our investments were sound.
In 2019, I decided to bridge the gap by enrolling in Dr. Andrew Ng’s Machine Learning course. It gave me a foundational understanding of key concepts, such as balancing Precision and Recall, which lies at the core of many ML models. Think of it as a way to measure how well a model identifies relevant instances while minimizing false positives – a crucial aspect in applications like spam email detection and medical diagnosis.
Fast forward to 2021, I joined Docugami as the Head of Partnerships and Demand Gen, where we harnessed Computer Vision, Transformers, and various cutting-edge AI/ML techniques to revolutionize document engineering. I was finally able to ask intelligent questions, understand the techniques at play, and grasp their implications for delivering high-quality outcomes for customers working with unstructured and semi-structured business documents including but are not limited to professional services agreements, leases, and insurance carriers’ policy documents.
In 2022, I encountered ChatGPT Beta, and its capabilities blew me away. I asked it to develop value propositions and messaging outlines for a product. The results were good (not great), I couldn’t help but wonder what versions 4, 5, or 6 would bring. I realized then that I needed to evolve my teaching curriculum for Go-to-Market strategies at the University of Washington . ChatGPT can produce a framework for a demand generation plan, but it lacks proprietary case studies and the trials and tribulations by business practitioners, and that's what I need to bring more to my class.
In short, my goal is to equip go-to-market leaders with practical knowledge and resources about AI and ML. I want to help you shorten the learning curve and sound confident when discussing these technologies with your colleagues and your customers.
So, stay tuned for my next installment, a Brief Primer on Artificial Intelligence and Machine Learning, designed to provide you with a strong foundation in these transformative technologies.
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