Session: The Journey of Data Science - How Did It Iterate the Way to AI
The talk is mainly focus on how data science has evolved into AI, its long journey from basic analytics to current state of AI, the driving forces behind and the key technology breakthroughs to make it iterate its way to AI, the lessons learned and the current state of AI. At the end, I will also share my insight about how women in AI & data science achieve success with a big picture mindset.
- • The five phases of data science evolution
- • The six key driving factors behind & The Five levels of analytics
- • Automation with Five Opts – Dev, data, AI, ML and Model
- • The Current State of AI
- • Five steps to be successful in your data science career
Ling helps companies empower data informed decisions, accelerate growth, and reach operation excellence through data science/AI and nurturing stakeholders' relationship with trust. In life, Ling helps people achieve their fullest in data science and AI career and leadership.
As a Data Science & AI visionary with over 20-year career, Ling develops data science & AI strategy and execution roadmap, defines business KPIs and builds high-performing data science teams to drive optimal deliverables. Ling is an expertise in applying data science to drive multiple revenue streams in diverse industries; she is a driven leader with an entrepreneurial spirit to consistently identify opportunities and challenge assumptions for innovation; she has rich experience in guiding business transformations, fostering a data-driven culture across business units, and empowering teams by effectively communicating vision, strategy, challenges and artfully resolving conflicts from all levels and bringing people together to reach common goals.
Ling holds two patents, a coauthor for the Handbook of Data Intensive Computing, published in January 2012, Springer, and the author for the book, Grow to Your Fullest, available on Amazon or https://www.growtoyourfullest.com/