In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Huzaifa Sayed, Senior Manager of Data Science at The Home Depot:
Huzaifa Sayed, Senior Manager of Data Science at The Home Depot
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Fouad Bousetouane, PhD, Co-Founder and Chief AI Officer at InterspectAI:
Fouad Bousetouane, PhD, Co-Founder and Chief AI Officer at InterspectAI
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Chelsea Lamar, VP, Global Sustainability @ AIT Worldwide Logistics:
Chelsea Lamar, VP, Global Sustainability @ AIT Worldwide Logistics
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Brian Burns, Senior Manager of AI, Sprout Social:
Brian Burns Senior Manager of AI, Sprout Social
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Raghu Kulkarni:
• Tell me about what we mean by AI in this context?
• Let’s talk about regulation.. What does that really mean? How does it limit or support organizations?
• Regarding the notion of innovation, can you give some examples of how that might look in a regulated sense?
• The possibilities with AI are endless! Are we having to compromise on innovation, especially being in a regulated environment because of responsible AI? How can we balance our pace for creating new cutting edge ways of doing things while staying responsible and aligned with regulatory requirements?
Raghu Kulkarni Chief AI Officer Equifax
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Marcy Cunningham:
• The goal is to get more data, solutions, and AI into the hands of our consumers… Does this present certain difficulties?
• What are some of the issues associated with not meeting the prerequisites for new AI tools?
• Are we trying to use AI to fill gaps?
• How can we improve our way of hitting the basics?
• What advice would you give for the future efforts of streamlining these processes and ultimately leveraging AI to improve our data inspired decision-making?
Marcy Cunningham, Head of Information Governance, IHG Hotels & Resorts
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Andrew Simmons:
Geneva Taylor, Director of Data Analytics and Insights
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Prateek Shrivastava:
Prateek Shrivastava, Principal Data Scientist at Cummins Inc.
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Aparajit Agarwal, Kao Corporation:
Aparajit Agarwal, Enterprise Data and AI Architect at Kao Corporation
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Akhil Mahajan, Technical Director at Proctor & Gamble:
Akhil Mahajan, Technical Director at Proctor & Gamble
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Bhavna Mehta , Assistant Vice President at Cincinnati Children’s Hospital Medical Center:
Bhavna Mehta, Senior Manager of Data Science at The Home Depot
-Describe the marketing / data science dance - do we need data science for successful marketing? -What are the types of jobs for data scientists in marketing? -What are the key skills for a marketing data scientist? -What about other types of non-technical skills? Like domain knowledge or personal attributes? -How should data science talent vary based on Marketing context? -Describe your final piece of advice for anyone getting into the marketing data science space?
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Hua Ai:
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Giang Do:
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Deepac Jose:
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Ned Caron:
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Jorge Figueroa:
AI Monopoly - Join or fight. Some developers are scared about AI being monopolized instead of thinking about the possibilities and opportunities new AI platforms represent in their projects.
AI - A new danger to some professions or a new tool?
Will use reporting as an example. Reports were created by IT specialists and were fixed and timely to create. These were mostly replaced by BI tools. Surely there were report-experts how thought BI was a danger to their work at some point in time that later migrated to using BI tools and found them a great evolution from basic reporting. Even when integrating ML or Data Science projects is faster and easier with newly available platforms and resources, experts are still needed to work out these integrations. You should not consider your expertise replaced but empowered by these new tools. Millions of research hours and dollars in investment are now at your disposal to expedite your work. I recently had a talk with some friends from the art community and they feel threatened by tools like Dall-e, Stable Diffusion, Craiyon, etc. I explained new tools often look threatening to some professions but are an opportunity. Those who learn to use them faster and better have an advantage over others. As an example, Prompt Engineering is now an important competence.
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Dinakar Deshmukh:
In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Chad Harness: