Tag Data Talk

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Huzaifa Sayed, Senior Manager of Data Science at The Home Depot:What are some business operations solvable via AI?How can AI technologies help streamline, improve, or otherwise support operations?What does the future hold for leveraging AI as part of operational activities?What final piece of advice would you give to someone trying to find ways to leverage AI technology used to support business functions?Huzaifa Sayed, Senior Manager of Data Science at The Home DepotFollow Huzaifa Sayed

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Fouad Bousetouane, PhD, Co-Founder and Chief AI Officer at InterspectAI:What does it mean to be an AI expertWhat’s the problem with allowing everyone the ability to leverage AIHow can we solve for this challenge (surely we don’t want to just allow LLMs for those with PhDs)What do we see for the future of leveraging AIFouad Bousetouane, PhD, Co-Founder and Chief AI Officer at InterspectAIFollow Fouad Bousetouane

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Chelsea Lamar, VP, Global Sustainability @ AIT Worldwide Logistics:Tell us about the world of energy – and what’s considered renewableHow is AI related to renewable energy? Where is AI applied to help with renewables?What are the problems we need to solve more effectively with AI to help with renewable energy?Help us understand what companies can do to leverage AI as a way of helping advance renewable energy?What do you see for the future of AI in relation to renewables?What do you see for the future of knowledge work as it relates to GenAI?Chelsea Lamar, VP, Global Sustainability @ AIT Worldwide LogisticsFollow Chelsea Lamar

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Brian Burns, Senior Manager of AI, Sprout Social:Talk about knowledge work – what does the term mean?Describe a few examples of how we might leverage GenAIWhat are the challenges when trying to incorporate AI and GenAI for knowledge work?How can we make this collaboration successful between human and machine?What do you see for the future of knowledge work as it relates to GenAI?Brian Burns Senior Manager of AI, Sprout SocialFollow Brian Burns

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 EquifaxFollow Raghu Kulkarni

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 & ResortsFollow Marcy Cunningham

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Andrew Simmons:What are some examples of GenAI for retailLet’s talk about the difficulties and challenges GenAI can bringHow about the positive opportunities presenting from GenAIIs the juice worth the squeezeWhat do you see for the future of retail with GenAI Geneva Taylor, Director of Data Analytics and InsightsFollow Geneva Taylor

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Prateek Shrivastava:Describing some of the use cases in manufacturing.What sorts of specific challenges do manufacturing companies face?How can analytics adjust to take these issues into account?What does the future hold for advancing analytics in manufacturing?Prateek Shrivastava, Principal Data Scientist at Cummins Inc.Follow Prateek Shrivastava

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Aparajit Agarwal, Kao Corporation:What is analytics maturity as it relates to GenAI?Discussing relationship between a solid machine learning strategy and developing GenAI capabilities.Finding the applicable use cases for GenAI given maturity levels.Advice for getting GenAI implemented in your organization.Aparajit Agarwal, Enterprise Data and AI Architect at Kao CorporationFollow Aparajit Agarwal

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Akhil Mahajan, Technical Director at Proctor & Gamble:What are some of the core skill of traditional data teams?How is AI modifying the way we work in data?Describe ways to upskill, re-skill, or hire data teams of the future.Akhil Mahajan, Technical Director at Proctor & GambleFollow Akhil Mahajan

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Bhavna Mehta , Assistant Vice President at Cincinnati Children’s Hospital Medical Center: What are some examples of ways AI technology can support healthcare operations and decision making?Describe some of the challenges specific to healthcare when thinking about leveraging AI.How do you think AI will work with us in the future to support and improve community health?Bhavna Mehta, Senior Manager of Data Science at The Home DepotFollow Bhavna Mehta

-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?

What is this How this interacts with other C”suite Technical business culture What can this solve for us

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Hua Ai: What are the types of data science work able to get automated, managed with AI? How can AI help, what steps are reduced  How does this change the necessary skill set? Are we writing ourselves out of a job? Final piece of advice for leveraging AI to reduce data science barriers 

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Giang Do: What is a Data Science career? Value of Experience, Exposure and Knowledge. What are the tricks to a successful career? Tips you wish you had known.

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Deepac Jose: what are some of the capabilities importance of challenging status quo breaking silos how to know you’ve won final piece of advice

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Ned Caron: What do we mean by data-informed? How does this differ from data-driven or other philosophies? What are the challenges and benefits for adopting data-informed decision making? What advice would you offer to someone trying to move in the data-informed direction?

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

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Dinakar Deshmukh: what does it mean for a solution to be scalable how have we lacked in this area as an industry  why it’s important to make solutions that last the future of data science products and scalability

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Chad Harness: describe automl to the business person how do these types of tools work what are the right ways to leverage automl expectations for the future of automl tools