What Is Google's AI Adoption Framework - Analytics India Magazine

Google Cloud, has recently launched their AI Adoption Framework whitepaper, authored by Donna Schut, Khalid Salama, Finn Toner, Barbara Fusinska, Valentine Fontama, and Lak Lakshmanan, to provide a guiding framework for enterprises to leverage the power of AI effectively. Google Cloud's AI Adoption Framework has been designed on four pillars of an organisation -- "people, process, technology, and data." Google Cloud blog further noted that these four pillars of organisations should follow six critical themes -- "learn, lead, access, scale, automate, and secure -- for their AI success. According to Google, "These themes are foundational to the AI adoption framework." The first step concerns the scale of'learning' within an organisation, which includes the process of upskilling existing employees, recruiting new talents, and augmenting analytics and engineering professionals with "experience partners." This process of learning will help organisations to decide which analytics and machine learning skills would be required for the business, and accordingly, they can strategies their hiring process amid this crisis. Second, comes the'leading' which concerns whether or not the leaders of organisations provide enough support and guidance to data scientists and engineers to deploy machine learning and artificial intelligence in their business projects. This step would help businesses in understanding the structure of the team, the cost of the projects and the governance of the projects to encourage cross-functional collaboration in the organisation. Next is the'access" to data, where companies recognise the data management strategies and analytics professionals are able to collect, share, discover, analyse the data and other ML artefacts.