Evolution of Data Science: Enhancing Productivity, Not Replacing You

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Jorge Figueroa:AI Monopoly - Join or fight. Some developers are scared about AI being monopolized instead of thinking about the possibilities and opportunities new AI platforms represent in their projects.AI - A new danger to some professions or a new tool?  Will use reporting as an example. Reports were created by IT specialists and were fixed and timely to create. These were mostly replaced by BI tools. Surely there were report-experts how thought BI was a danger to their work at some point in time that later migrated to using BI tools and found them a great evolution from basic reporting. Even when integrating ML or Data Science projects is faster and easier with newly available platforms and resources, experts are still needed to work out these integrations. You should not consider your expertise replaced but empowered by these new tools. Millions of research hours and dollars in investment are now at your disposal to expedite your work. I recently had a talk with some friends from the art community and they feel threatened by tools like Dall-e, Stable Diffusion, Craiyon, etc. I explained new tools often look threatening to some professions but are an opportunity. Those who learn to use them faster and better have an advantage over others. As an example, Prompt Engineering is now an important competence.