Instead of moving from technology to key customers with an abstracted total addressable market (TAM), we must instead quantify artificial intelligence (AI) and machine learning (ML) benefits where they specifically fit within business strategies across segment industries. By using axiomatic impacts, the fuzziness of how to incorporate AI, ML, and big data into an industry can be used as a check on traditional investment assumptions.
Executive Update
Moving Forward in 2020: Technology Investment in ML, AI, and Big Data
Posted April 7, 2020 in Business Technology & Digital Transformation Strategies, Data Analytics & Digital Technologies
About The Author
William Jolitz is founder of Valux and leads fundraising and portfolio management. As an investor, entrepreneur, and inventor of today’s technologies, he has handled M&A for companies like Tandem Computers and due diligence for venture capital firms. Mr. Jolitz has founded, grown, and exited several Silicon Valley–based technology companies in systems, enterprise, and Internet. He is the inventor of OpenBSD (open source Berkeley Software… Read More
Lynne Greer Jolitz is founder of TeleMuse Partners. A lifelong entrepreneur, she enjoys uniting the viewpoints of competing stakeholders and providing guidance, action, and vision to achieve effective solutions. Ms. Jolitz applies tactical leadership in operations and engineering in her current consulting engagements. Previously, she worked at InterProphet Corp., a provider of wire-speed TCP/IP stack with data flow; IGN (formerly Imagine Games… Read More
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