Navigating AI Adoption for Businesses | With Herkimer Consulting's Heather Harris | Artificial Intelligence Podcast

In this episode of the AI For All Podcast, Heather Harris, Principal Data Scientist at Herkimer Consulting, joins Ryan Chacon and Neil Sahota to discuss how businesses can better navigate the field of AI adoption. Harris emphasizes the significance of starting with a clear understanding of the organization's mission and the desired outcomes. She advocates for adopting AI as a support role rather than a central focus. Challenges such as data integrity, identifying the true AI solutions from the fakes, and obtaining the right data are discussed. Harris also foresees the integration of AI becoming seamless and covert in the next five to ten years. However, she urges businesses to be proactive rather than reactive to the rapidly changing pace of AI technology. Heather Harris has a PhD in statistics related to cognitive processes, and she has worked as a consulting data scientist and statistician for 6 years. Her approach to consulting is to guide clients through setting up complex processes and AI solutions while keeping data governance, data integrity, and diversity/data representativeness front-of-mind. As a consultant, she’s led a multitude of diverse projects including predicting audiences and micro-target marketing for the first movie with a theatrical release following the pandemic, predicting and segmenting viewers for several television shows and networks, developing scoring algorithms for EdTech companies, and working with clients from several substantive areas to architect data ecosystems for AI solutions and advanced analytics. Herkimer Consulting is a small AI and data science consulting firm focused on holistic data strategy, AI/technology adoption, complex data integration, and advanced predictive analytics. Discover more about AI at https://ai-forall.com Connect with Heather: https://www.linkedin.com/in/heatherdawnharris/ (00:00) Intro (00:30) Heather Harris and Herkimer Consulting (01:58) Understanding data integrity in AI (04:07) What's the role of synthetic data? (06:40) Quality assurance standards in AI data (09:14) The importance of AI strategy (10:23) Navigating AI solutions and adoption (21:13) Challenges in AI adoption (22:56) Advice for companies starting their AI journey (24:37) Predictions for AI in 2024 (26:51) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial