During the past year, I led the development of a new product at WattzOn, GLYNT, which uses machine learning (ML) to transform data trapped in documents (PDFs, scans and images) into structured data flowing to customers. During that year, I witnessed a shift in our priorities, problem framing and conversations. WattzOn became “AI-First.” Now, we are always asking
• Does this effort, product feature, or project plan leverage the full powers of AI?
• Is this effort set up to successfully serve and support the AI?
These questions change how we see what’s important and how we prioritize activities. AI-First became a company-wide change in thinking. We call this shift of an existing business Transformational AI.
As many have noted, AI is a stupendously powerful tool that can transform industries, creating both winners and losers. To be a winner, a company must have more than a toe in the AI water. I’ve summarized what we’ve learned about Transformational AI with the acronym BASIC, which stands for
• Business impact
• AI expertise is not enough
• Software in service to AI
• Infrastructure to support the AI solution
• Collaboration with the non-AI team
Transformational AI and the BASIC framework is not meant for companies that just want to add a small AI project. This is a perspective for companies that have acquired a taste of AI through their first projects, and now want to re-think their business strategy and engineering priorities so they can leverage the power of AI throughout their organization.
My white paper details what it takes to be AI-First, to transform a company and gain a powerful competitive advantage. This sounds ambitious, but actually it’s just B.A.S.I.C.