The Data Journey: 5 Stages Of Turning Data Into Actions
In the last 20 years, a fair amount has been said about “big data” and how to approach it; however, what to honestly do with it and how to make it actionable is somewhat unclear. It follows a high-level – and transparent – roadmap on treating your data and making it work for you. There are five stages in turning data into actions…
Matt Tinney – Empathetic Compassionate Leader
In today’s ENTREPRENEURSHIP AND EMPOWERMENT we introduce you to Matt Tinney. Matt is an empathetic compassionate leader committed to attracting and developing a robust pipeline of diverse and inclusive technology experts that can execute rapidly and in volume with...Andrea Sotgiu – Co-founder of Alephnet
In today’s edition of ENTREPRENEURSHIP AND EMPOWERMENT, we introduce Andrea Sotgiu, a Co-founder of Alephnet [https://alephnet.ai], a data science company founded in 2021. Alephnet offers organizations a fresh approach to Data Science, AI & Digital Transformation....What Data Science Means to Organizations – II
AI Presents Endless possibilities across all Industries and Organizations. Applications and use case possibilities are limitless. They depend on the growth stage, status quo existing data stack, priorities, and budget. Industry, organization size, and personas can segment AI Use Cases. Determining the relevant data universe and identifying models to solve a defined challenge can be alike regardless of industry.
What Data Science Means to Organizations
In a time when AI is considered the engine that will power the next age of human progress, failure to participate is no longer a viable business option. Companies that wish to digitally transform must understand that embracing the status quo will leave them struggling to keep up with competitors that recognized the opportunity before them.