Today I’m chatting with Katy Pusch, Senior Director of Product and Integration for Cox2M. Katy describes the lessons she’s learned around making sure that the “juice is always worth the squeeze” for new users to adopt data solutions into their workflow. She also explains the methodologies she’d recommend to data & analytics professionals to ensure their IOT and data products are widely adopted. Listen in to find out why this former analyst turned data product leader feels it’s crucial to focus on more than just delivering data or AI solutions, and how spending more time upfront performing qualitative research on users can wind up being more efficient in the long run than jumping straight into development.
Highlights/ Skip to:
Quotes from Today’s Episode
024 - How Empathy Can Reveal a 60%-Accurate Data Science Solution is a Solid Customer Win with David Stephenson, Ph.D.
023 - Balancing AI-Driven Automation with Human Intervention When Designing Complex Systems with Dr. Murray Cantor
022 - Creating a Trusted Data Science Team That Is Indispensable to the Business with
021 - Turning Complex Cloud IT Data Into Useful Decision Support Info with John Purcell of
020 - How Human-Centered Design Increases Engagement with Data Science Initiatives
019 - The Non-Technical (Human!) Challenges that Can Impede Great Data Science Solutions
018 - The Business Value of Showing the “Why” in AI Models with Jana Eggers (CEO, Naralogics)
017 - John Cutler on Productizing Storytelling Measuring What Matters & Analytics Product Management
016 - Farming with Data: How Advanced Analytics are Transforming the Agriculture Industry with Dinu Ajikutra
015 – Opportunities and Challenges When Designing IoT Analytics Experiences for the Industrial & Manufacturing Industries with CEO Bill Bither
014 - How Worthington Industries Makes Predictive Analytics Useful from the Steel Mill Floor to the Corner Office with Dr. Stephen Bartos
013 - Paul Mattal (Dir. of Network Systems, Akamai) on designing decision support tools and analytics services for the largest CDN on the web
012 - Dr. Andrey Sharapov (Data Scientist, Lidl) on explainable AI and demystifying predictions from machine learning models for better user experienc...
011 - Gadi Oren (VP Product, LogicMonitor) on analytics for monitoring applications and looking at declarative analytics as “opinions”
010 - Carl Hoffman (CEO, Basis Technology) on text analytics, NLP, entity resolution, and why exact match search is stupid
009 - Nancy Hensley (Chief Digital Officer, IBM Analytics) on the role of design and UX in modernizing analytics tools as old as 50 years
008 - Dr. Puneet Batra (Assoc. Director, Machine Learning at Broad Institute of MIT and Harvard) on aligning data science with biz objectives, user re...
007 -Jim Psota (CTO & Co-Founder, Panjiva/S&P Global) on designing a meaningful SAAS analytics product for the global supply chain
006 - Julien Benatar (PM for Pandora's data service, Next Big Sound) on analytics for musicians, record labels and performing artists
005 - Jason Krantz (Dir. of Biz Analytics/Insights, Weil-McClain) on centering analytics around internal customers
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