News from the Front Lines of Data Science and Business, Part 1: AI/ML Application in the (Real) Business World
There is immediate and tremendous need for professionals with formal data science training to apply their skills in non-data-native business environments at multiple levels of technical complexity. Non-data-native organizations are aware they need to embrace data science technologies and are investing accordingly but with limited results. Once-overlooked cultural and behavioral challenges are now fairly well understood, but successful adoption still eludes most companies. The remaining gap exists at the intersection between data science and business: strategy and application.
I School graduates are uniquely prepared to participate in and overcome this remaining challenge, provided they properly understand the business landscape and corresponding challenges.
Beth Partridge, a 2017 MIDS grad, 18-year veteran at Intel, and CEO of an enterprise AI consultancy called milk+honey, will deliver insights she wishes had been available to her as a student.
Founder, CEO, and Chief Data Scientist
Beth brings nearly 30 years of executive-level experience in manufacturing, product engineering, quality control, technical support and operations. Her formal training includes a BS in electrical engineering and a Master of Information and Data Science from UC Berkeley. Beth is that rare executive with a powerhouse combination of natural leadership, deep technical experience and impeccable execution skills. milk+honey is born from her hard-won understanding that success in business now requires a deep commitment to data-driven decision making, and development of a culture of experimentation and innovation at all levels of an organization. She is filled with excitement about the data revolution and the profound transformation that’s upon us.