On today’s episode, we’re joined by Austin Tidmore, Vice President of Data Innovation at ASGN Incorporated. Austin shares his vision of innovation as an intentional data-powered process developed to achieve business goals. He emphasizes the importance of augmenting human capabilities with AI rather than replacing them and highlights the critical intersection of innovation and data in shaping enterprise-level strategies.Key Takeaways:(02:05) Unify businesses with data and AI to operate more efficiently and add value for clients.(03:10) Innovation is linked to maximizing operational efficiency.(06:35) Consulting accelerates career growth through diverse exposure.(12:33) The difference between innovation and disruption.(13:47) The talent and staffing industry is ripe for innovation.(15:00) AI augments human decisions, it doesn’t replace them.(18:30) The role of AI in both crafting résumés and mining through the noise.(23:47) The challenges for LLM and enterprises posed by unstructured data.(26:40) Graph databases can help structure and navigate data.(29:46) Innovation is intentional and needs to align with business value.Resources Mentioned:Austin Tidmore - https://www.linkedin.com/in/austintidmore/ASGN Incorporated | LinkedIn - https://www.linkedin.com/company/asgn-incorporated/ASGN Incorporated | Website - https://www.asgn.com/University of North Texas - https://www.unt.edu/Clayton Christensen's Disruptive Innovation - https://hbr.org/1995/01/disruptive-technologies-catching-the-waveHadoop and Big Data - https://hadoop.apache.org/Spark Clusters - https://spark.apache.org/Thanks for listening to the Data Masters Podcast. If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.#DataStrategy #DataManagement #DataMastersPodcast

On today’s episode, we welcome Nishit Sahay, Chief Information Officer of Marvell Technology. Nishit discusses the role of data in shaping business strategies, particularly in high-stakes areas. He explains how Marvell navigates the complexities of an unstable global supply chain while developing cutting-edge semiconductor solutions. Nishit also emphasizes the importance of collaboration between technology and people, asserting that one should not replace the other. Key Takeaways:(00:43) Marvell’s semiconductors power many AI applications and 5G technologies.(06:31) Data-driven transformations come from integrated ecosystems and business processes.(07:51) Data ecosystems support faster, more informed decision-making.(10:00) The importance of a company’s collaborative culture and clean processes.(14:19) Global factors like geopolitical tensions and shifts in silicon demand impact Marvell's supply chain.(18:07) Building and feeding AI systems.(23:35) Technology doesn’t replace people; it enhances their productivity.(27:00) Nishit’s career advice: Ask for help and foster collaboration.Resources Mentioned:Nishit Sahay -https://www.linkedin.com/in/nishit-sahay-8143641/Marvell Technology | LinkedIn -https://www.linkedin.com/company/marvell/Marvell website -https://www.marvell.com/Thanks for listening to the Data Masters Podcast. If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.#DataStrategy #DataManagement #DataStrategy #DataMastersPodcast

In this episode of the Data Masters Podcast, your host, Anthony Deighton, welcomes Elena Alikhachkina to discuss the intricate world of AI and its profound impact on business. As AI quickly becomes a part of everyday life, business leaders grapple with challenges in effectively aligning it with their strategies. Elena sheds light on dispelling AI myths and emphasizes the pivotal question guiding AI journeys in the enterprise.

Join Anthony Deighton and Joel Shapiro as they discuss the challenges and opportunities for data teams to become more effective and valuable within their organizations. Joel covers a wide range of topics related to successful collaboration between business and data scientists including, problem spotting and problem scoping, the challenge of working with imperfect data, and the impact of AI on decision-making.

Join Anthony Deighton and Randy Bean as they discuss key trends such as data-driven transformation, the challenges organizations encounter in becoming data-driven, generative AI, and the future of AI and data technologies. Randy, an advisor to Fortune 1000 leaders, brings you into the boardroom to share what’s top of mind for CEOs regarding AI and the evolving role and expectations for CDOs. You’ll only hear it here!

Join Anthony Deighton and David Jayatillake in this engaging podcast as they discuss the modern data stack, the power of AI in data analysis, and the future of data interfaces. Discover how data teams can ensure clean and curated data, and explore the exciting possibilities of accessing and analyzing data in a seamless and efficient manner. Don't miss out on this insightful conversation!

Join Anthony Deigthon for this insightful episode as we navigate the ever-evolving landscape of data and analytics teams with Misha Advena. Gain a deeper understanding of the strategies and approaches that can shape the future of your organization, ensuring it remains agile and data-driven in an increasingly complex environment.

In this episode of the Data Masters podcast Anthony Deighton speaks with Benn Stancil, co-founder and CTO at Mode, who challenges common ideas about data collaboration. Benn emphasizes that effective collaboration isn’t about using Google Docs-like tools but understanding data visualization evolution for smooth collaboration. The conversation also explores how collaboration varies with different types of work, providing valuable insights into the true nature of successful data collaboration. Don’t miss these expert insights!

In this episode, we welcome Dana Van Aken, co-founder and CTO at OtterTune. Their SaaS solution leverages AI to streamline database tuning, addressing configuration challenges and enhancing the performance of PostgreSQL and MySQL—all while reducing costs. Join us to delve into the challenges faced by database administrators and explore the exciting future of database management with advancements in machine learning and language models.

In this episode of the Data Masters podcast, Anthony Deighton interviews Dr. Eva-Marie Muller-Stuler, a partner in Data and Analytics at Ernst and Young. They discuss how the advent of advanced language learning models (LLMs) like ChatGPT, Bard, and others, requires new thinking in ethical, responsible, and trustworthy AI.

In today's highly competitive business environment, the key lies in discovering new and interesting data, seamlessly onboarding it, and stitching it together to form training sets that generate powerful algorithms. Accelerating this process goes beyond operational savings. It's a game-changer, allowing you to outpace your competition, deliver unparalleled customer experiences and capture greater market share. Join us today as we welcome Adam Wilson, Senior Vice President and General Manager at Alteryx Analytics Cloud and former CEO of Trifacta before its acquisition by Alteryx in 2022. In this interview, Adam shares his expertise and insights on harnessing the potential of data analytics to fuel business innovation

This thought-provoking podcast episode delves into the fascinating world of GPT's large language models and neural nets. Join us as we explore the impact of adding a chat interface to GPT and how it has taken off, captivating the public's consciousness. Our guest, an expert in the field, shares insights on the divergent opinions surrounding large language models and neural nets in relation to language. Welcome to another episode of DataMasters. Our guest today is Dean Abbott, founder and president of Abbott Analytics. Since March 1999, Abbott Analytics has led organizations through applying and integrating leading-edge data mining and machine learning methods to marketing, research, and general business endeavors. Abbott Analytics has been dedicated to improving efficiency, ROI, and regulatory compliance through machine learning. Before founding Abbott's Analytics, Dean worked as Wonderkind's chief data scientist and co-founder of Smarter HQ. Our guest will answer critical questions surrounding GPTs, including the following: 1. What are the strengths and limitations of GPT's chat interface? Can it generate content with creativity and style? 2. How does trust play a role in interacting with language models like GPT? Can we blindly rely on their output? 3. What distinguishes GPT from traditional search engines in terms of generating authoritative information? How does the concept of truth come into play? 4. What are the challenges associated with the data input for generative models? How does data quality affect the success of these models? Join us for this captivating conversation as we delve into the world of GPT, large language models, and the complexities of language processing in the age of neural nets. Gain valuable insights and challenge your preconceptions about the future of AI-powered language technology.

Unlocking the true potential of data and transforming it into invaluable insights is the hallmark of a Chief Data Officer. In today's data-driven world, the role of a CDO extends beyond traditional data management. The most successful CDOs recognize the power of data products in overcoming the challenges of messy, incomplete, incorrect, and siloed enterprise data. We spoke with Salema Rice, founder and CEO of CDO Today, a membership-based organization that offers mentorship, advisory, and thought leadership to data and analytics professionals. With experience as a Partner, Global Managing Director, Chief Data and Analytics Officer at Accenture, and Global Chief Data and Analytics Officer at Bain Capital, Salema is well-versed in the common mistakes and pitfalls to avoid when implementing a data product strategy. Tune into this episode of Data Masters for insights and best practices from a seasoned CDO on quickly seizing opportunities to deliver the promise your organization's data holds. www.tamr.com

After spending time in college researching neuroscience, this episode’s guest found that we really don’t know much about smell or how to quantify it despite smell being such an integral part of our lives. That’s why he’s made it his mission to incorporate smell with technology.

Anthony sits down with Kevin Hu, CEO and co-founder of Metaplane, a new data observability company. The two discuss whether bugs exist in data, what Kevin learned from Y Combinator, and what the kids are studying these days.

Anthony sits down with Trifacta’s CEO Adam Wilson to talk about changes to the data landscape, why we need to pay more attention to how we people become “data-driven”, and how Tamr and Trifacta work in harmony to deliver transformative data initiatives.

Anthony sits down with Mike Alvarez, Director of Digital Services at Fuse by Cardinal Health, to talk about data innovation in the healthcare industry. They discuss leveraging data to help patients understand their best paths to care and better stick with treatments. Using data from points of care and external entities to help providers determine the best outcome and cost for value-based care. And, they tackle a popular question, “are dashboards dead?”

The author, Fail Fast, Learn Faster joins Anthony to talk about his new book, his love of literature, and how it connects to data, and shares some of his favorite stories from his career.

Anthony chats with Evren Eryurek, Director of Product Management at Google Cloud about what’s happening today with cloud migrations, and uniquely how Google is helping make the transition easy and helping to unlock the value of business data in the cloud. The two also discuss the Google and Tamr partnership, and Evren shares his advice for recent grads interested in a career in technology.

Gus Kaeding talks to Anthony about how the U.S. Ski & Snowboard teams are using data to improve team performance and win more medals. Gus explains where the similarities start and end with the famous “Moneyball’ approach to team selection. Why communication with coaches and athletes about data findings is just as important as the results. The challenges of starting a data program from scratch, and what’s next for the team as they approach the 2020 Winter Olympics.