Podcasts about chief data scientist

In this high-velocity, truth-telling episode, Erin and Ken sit down with data scientist, author, and newsletter legend Christopher Penn to cut through the noise and the slop around AI and go-to-market. Chris breaks down how today's AI isn't solely about scale or speed it's about whether your thinking actually changes how people lead. From RAGs and reporting frameworks to the future of SaaS, software, and your own job, this conversation pulls zero punches.

This week we heard that the Australian Bureau of Statistics has chosen 60,000 homes to take part in a test census, to make sure the real event next year runs without incident. For the first time, it will include questions about sexual orientation and gender for people over 16. Hari Hara Priya Kannan, Chief Data Scientist for The Demographics Group talks to Sean Aylmer about why we do a census, and what we can expect.Find out more: https://fearandgreed.com.auSee omnystudio.com/listener for privacy information.

Deb Hutton hosts the Jerry Agar show and talks to the Minister of Colleges and Universities, Nolan Quinn about the college layoffs and program cancellations over the past year. A New Nanos poll finds Canadians are most concerned about jobs and the economy amid strained US relationships. Chief Data Scientist and Founder at Nanos Research, Nik Nanos explains. Toronto city councillors bring back the debate over a colour-coding system for Toronto apartment buildings. Richard Powers, an associate professor in the Rotman School of Management at the University of Toronto explains Canada's competition watchdog's probe into Amazon.

Dr. Nigam Shah, Chief Data Scientist at Stanford Health Care, joins the podcast to explore the intersection of data science and healthcare innovation. He shares insights into ongoing research initiatives like the Green Button Project, discusses the technical challenges faced in deploying data solutions at scale, and outlines the key components of his work within Health IT. Dr. Shah highlights the potential of data to drive smarter, evidence-based clinical decision-making across systems.

Wie gelingt der Aufbau eines erfolgreichen Data Science Teams und warum ist es so wichtig, mit kleinen Erfolgen zu starten, bevor man sich komplexen Herausforderungen stellt? Genau darum geht es in der neuen Folge von MY DATA IS BETTER THAN YOURS, in der Host Jonas Rashedi mit Frank Mollard spricht. Frank ist bei der Infraserv GmbH & Co. Höchst KG als Chief Data Scientist für die Bereiche Data Science & Data Engineer zuständig. Infraserv Höchst betreibt einen der größten Industrieparks Deutschlands – eine riesige Spielwiese für datengetriebene Innovationen. Frank erzählt, wie er von anfänglichen Einzelprojekten zu einem strukturierten Vorgehensmodell kam, das heute die Grundlage für effiziente und wirtschaftliche Projekte bildet: „So einfach wie möglich, so komplex wie nötig.“ Damit erzielt sein Team beeindruckende Erfolge – von schnellen Einsparungen beim Stromverbrauch bis hin zur Implementierung komplexer digitaler Zwillinge für Anlagensteuerung und Wartungsoptimierung. Im Gespräch teilen Jonas und Frank ihre Erfahrungen rund um die Herausforderungen der Stakeholder-Einbindung, den Umgang mit unterschiedlichen Datenquellen und warum manchmal die einfachste Lösung die Beste ist. Freut euch auf spannende Einblicke und praxisnahe Tipps aus dem Data-Science-Alltag! MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Zum LinkedIn-Profil von Frank: https://www.linkedin.com/in/frank-mollard/ Zur Webseite von Infraserv Höchst: https://www.infraserv.com/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi 00:00 Intro und Begrüßung 01:38 Vorstellung Frank Moller und Infraserv Höchst 05:53 Von der Statistik zur Data Science 07:33 Erste Erfolge und einfache Use Cases 10:32 Vorgehensmodell und Strategie 17:36 Aufbau eines Data-Teams 20:19 Überzeugungsarbeit und Leuchtturmprojekte 25:08 Komplexe Projekte und digitale Zwillinge 27:15 Betrieb und kontinuierliche Optimierung 30:50 Wirtschaftlichkeit und Nachhaltigkeit 36:42 Tipps und Lessons Learned 39:18 Privater Umgang mit Daten

Dr. Nigam Shah, Chief Data Scientist at Stanford Health Care, joins the podcast to explore the intersection of data science and healthcare innovation. He shares insights into ongoing research initiatives like the Green Button Project, discusses the technical challenges faced in deploying data solutions at scale, and outlines the key components of his work within Health IT. Dr. Shah highlights the potential of data to drive smarter, evidence-based clinical decision-making across systems.

Preview: Colleague Rachel Lomaasky, Chief Data Scientist at Flux, comments on the beyond English spread of AI large language models and the geopolitical reception in other sovereign states. More later.DECEMBER 1961

In the latest episode of The Beat Podcast, host Sandy Vance discusses the transformative role of artificial intelligence (AI) in healthcare with Anmol Medan, CEO of RadiantGraph. They talk about how AI and Intelligent Personalization can improve the member experience with health plans. Their conversation also highlights the ongoing challenges in consumer engagement within the healthcare sector. RadiantGraph aims to bridge the gap by utilizing AI and machine learning to enhance consumer engagement for large healthcare organizations, particularly in the realm of health plans. If you have any questions about RadiantGraph, reach out to Anmol via LinkedIn or email him at anmolmedan@radiantgraph.com. In this episode, they talk about:❤️‍

Host Sam Russell engages with Miroslav Valan, Chief Data Scientist at Winningtemp, Nicolas Salinas, Senior Data Scientist at Volvo Cars, Asadullah Najam, Lead Data Engineer at Ericsson, and Prabhu Gurusamy, Lead Data Scientist at Tata Consultancy Services. They explore strategies to stay ahead amidst rapid changes in data, highlighting innovations in data science, engineering, and analytics. This discussion offers insights into managing evolving data landscapes, AI integration, and driving effective data-driven decisions across industries.

Vassy is joined by Rachel Aiello, CTV National News Correspondent, Mike Le Couteur, Senior Political Correspondent, CTV National News and Abigail Bimman, CTV News Correspondent to get the latest from each party on the campaign trail. On todays show: Vassy is joined by Ali Velshi, MSNBC Chief Correspondent, Jason Kenney, former Conservative cabinet minister and former Premier of Alberta and Amanda Lang, CTV’s Chief Financial Correspondent to discuss where Trumps trade war is headed next. Listen to Vassy's full conversation with Nik Nanos, Chief Data Scientist and Founder of Nanos Research on the state of the race so far. The Daily Debrief Panel with Zain Velji, Tom Mulcair, and Tim Powers. Barbara Barrett, Executive Director Frontier Duty Free Association joins Vassy to discuss the plunge in traffic over the border, how that’s affecting business and the federal governments response.

In this episode of BetterTech, host Umair Javed sits down with Dr. Eva Marie Muller-Struler, Partner and Chief Data Scientist at EY, to unpack the evolving role of AI across industries and geographies. With experience leading AI initiatives at IBM and EY, Eva offers a practical lens on the challenges of bias, hallucination, and low ROI in enterprise AI deployments. She explores how MENA is leapfrogging traditional models through bold investments and ethical frameworks, and shares why startups must go niche to compete in a crowded space. From agentic AI to data strategy, this episode is a must-listen for anyone serious about AI-led transformation.

Matt Ober, CAIA shares his journey from data scientist at Bloomberg to becoming the head of data strategy at a hedge fund, and later transitioning into venture capital with Social Leverage. We discuss into the expanding role of data in financial services, the strategies employed by hedge funds, and the future of alternative data. A rare opportunity to rethink the business of financial market data.LINKSMatt on Linkedin: https://www.linkedin.com/in/obermattj/Matt's Newsletter: https://www.mattober.co/Social Leverage: https://www.socialleverage.com/Initial Data Offering: https://initialdataoffering.com/

Mika Newton speaks with Dr. Nigam Shah, a Stanford professor and Chief Data Scientist at Stanford Healthcare, about AI's role in healthcare. They discuss evaluating AI's impact on patient care, the challenges of benchmarking AI models, and the importance of using real-world data. The conversation explores how AI can enhance clinical decision-making, the need for well-defined research questions, and strategies for selecting the right data to improve healthcare outcomes.

Pasquale Viscanti intervista Maurizio Sanarico, Chief Data Scientist e Global AI Advisor di SDG Group Italy, su Manus AI, il primo agente “autonomo” svelato dalla Cina. Insieme discutono delle sue capacità, dell'impatto sull'Intelligenza Artificiale e delle implicazioni, sia positive che negative.Inviaci le tue domande e curiosità sull'Intelligenza Artificiale all'email: info@iaspiegatasemplice.it  Pasquale e Giacinto risponderanno in una puntata speciale un sabato al mese.Pasquale Viscanti e Giacinto Fiore ti guideranno alla scoperta di quello che sta accadendo grazie o a causa dell'Intelligenza Artificiale, spiegandola semplice.Puoi iscriverti anche alla newsletter su: www.iaspiegatasemplice.it

Alaa Moussawi, Chief Data Scientist for the New York City Council, shares how AI is reshaping legislative processes through smarter, data-driven laws. He discusses the council's use of Retrieval-Augmented Generation (RAG) models, and open-source AI solutions to streamline workflows and ensure legislative originality. He also shares his perspective on the future of AI in government, the importance of transparency in policy-making, and why generative AI should assist with—but never make—decisions. Key Takeaways:  How the New York City Council team leverages AI and data science to drive evidence-based policymaking The importance of transparent, statistically-driven legislation The debate between cloud-based vs. on-premise AI solutions in government Common misconceptions about generative AI and decision-making The future of AI in government and its role in shaping policy Guest Bio: Alaa Moussawi serves as Chief Data Scientist for the New York City Council, leading teams of data scientists and software engineers. His data team analyzes issues like pay equity, rats, and school bus delays to support data-driven legislation, emphasizing transparency and reproducibility. The software team works to streamline council workflows, automate tasks, and improve efficiency, developing open-source tools like CRMs, dashboards, and paperless hearing systems. They've deployed machine learning models, including a RAG model for simplifying legal research. Dr. Moussawi is also producing a LinkedIn Learning course on developing RAG models in secure environments. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte

In this episode, Mika Newton speaks with Dr. Nigam Shah, a professor at Stanford and Chief Data Scientist at Stanford Healthcare, about the challenges and opportunities of AI in healthcare. They discuss the sustainability of AI development, the complexities of regulation, and the importance of localized validation. The conversation explores how AI can enhance clinical decision-making, optimize healthcare resources, and expand patient access while addressing barriers in implementation, governance, and data sharing.

ABOUT JAMES CAMPBELLJames Campbell is the co-founder and CTO at Great Expectations, the leading open-source data quality product. Prior to his life at a startup, James spent nearly 15 years working across a variety of quantitative and qualitative analytic roles in the US intelligence community, ultimately serving as Chief Data Scientist at CIA. He studied Math and Philosophy at Yale, and international security at Georgetown. He is passionate about creating tools that help communicate uncertainty and build intuition about complex systems.This episode is brought to you by Clipboard HealthClipboard Health is looking for the next generation of exceptional software engineering leaders, not just managers. They're a profitable unicorn, backed by top-tier investors, and they take the craft of engineering management seriously.Clipboard Health matches highly qualified healthcare workers with nearby facilities to fulfill millions of shifts a year - revolutionizing healthcare staffing with a fast, flexible, and user-friendly platform.Learn more & browse their open roles at clipboardhealth.com/engineeringSHOW NOTES:The origin story of Great Expectations & James' founding journey (3:28)Pitching / validating your idea through community (6:24)Transitioning from federal government to co-founder of a company (9:20)Recommendations when considering the founder / collaboration path (11:30)James' experience starting with open source & getting 10k stars on GitHub (13:15)Engaging with your audience to drive growth & share your product's message (15:17)How open source impacts Great Expectations' marketing / communication (16:58)Navigating the tension between product vision & product roadmap (19:21)Where that tension showed up in Great Expectations' early days (22:11)Capturing & synthesizing insights from your users (23:54)Strategies for removing biases from product-related decisions (25:37)Finding the balance between your perspective & community insights (27:13)James' perspective on different levels of product analysis (29:54)Lessons learned from Great Expectations' phase changes (31:22)Takeaways from the org's latest experience / transition (34:51)Defining the “Heilmeier Catechism” & how it impacts James' leadership style (37:07)Rapid fire questions (40:40)LINKS AND RESOURCESCIA Guide to Analytic Tradecraft - Primer published by the CIA to assist analysts in dealing with the perennial problems of intelligence.American Prometheus - Kai Bird and Martin J. Sherwin's definitive biography of J. Robert Oppenheimer, one of the iconic figures of the twentieth century, a brilliant physicist who led the effort to build the atomic bomb for his country in a time of war, and who later found himself confronting the moral consequences of scientific progress.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

In this episode of Logistics Business Conversations, host Peter McLeod speaks with Colm Gallagher, Chief Data Scientist at Hitachi Zero Carbon, about the Electric Freight Way initiative—an ambitious project tackling the decarbonization of the UK's HGV sector. With heavy goods vehicles responsible for 20% of UK transport emissions, the initiative aims to roll out electric HGVs alongside essential charging infrastructure. Colin discusses the economic and logistical challenges of electrification, the role of data in optimizing fleet operations, and how smart charging solutions can reduce costs. Tune in to discover how this initiative is shaping the future of sustainable logistics. Subscribe today for free at https://www.logisticsbusiness.com/logistics-business-magazine-subscribe/ https://plus.acast.com/s/logistics-business-conversations-1. Hosted on Acast. See acast.com/privacy for more information.

Industrial Talk is onsite at Accruent Insights and talking to Charlie Boyle, VP of Global Data, Analytics and AI at Fortive about "Leveraging operational data and AI for improved insights". Scott MacKenzie hosts an industrial podcast discussing data analytics and AI with Charlie Boyle, VP of Advanced Solutions at Accruent. Boyle highlights the importance of data in decision-making, emphasizing the need for automated solutions to manage the vast amounts of data being generated. He discusses Accruent's mission to unify the built environment through IoT and advanced analytics, focusing on predictive maintenance, energy management, and space intelligence. Boyle also mentions the use of generative AI to assist aging technicians and improve maintenance efficiency. The conversation underscores the transformative power of data and AI in enhancing business operations and problem-solving. Action Items [ ] Explore using generative AI to document maintenance technician knowledge and provide guidance to junior technicians. [ ] Investigate using sensor data and analytics to audit energy usage and bills, and automate HVAC controls. [ ] Connect with Charlie Boyle on LinkedIn to further discuss Accruent's data analytics and AI initiatives. Outline Accruent Insights Event Introduction Scott MacKenzie introduces the Industrial Talk podcast, emphasizing its focus on industry innovations and celebrating professionals. Scott highlights the importance of data and AI in the industrial sector, setting the stage for the discussion. The event, Accruent Insights, is taking place in San Antonio, Texas, with a focus on problem-solving and customer obsession. Scott introduces Charlie Boyle, VP of Advanced Solutions at Accruent, who will discuss data analytics and AI. Charlie Boyle's Background and Experience Charlie Boyle shares his background, including his role as VP and General Manager of Advanced Solutions at Accruent. He has over 25 years of experience in advanced analytics and data science, previously serving as Chief Data Scientist at Honeywell and Chief Analytics Officer at a telematics company. Charlie discusses his journey and the various analytic use cases he has encountered in different industries and verticals. Scott and Charlie reflect on the rapid advancements in AI and generative AI, particularly with the advent of tools like ChatGPT. The Role of Data and AI in Business Efficiency Charlie explains the importance of data in today's business environment, emphasizing the need for automated solutions to manage large data sets. He discusses the concept of decision intelligence, which involves turning data into actionable insights. Scott and Charlie delve into the challenges of managing large amounts of data and the role of AI in generating actionable insights. They discuss the potential of AI in various industries, including retail and HVAC, and the importance of proactive maintenance. Accruent's Mission and Data Platform Charlie outlines Accruent's mission to unify the built environment through IoT and advanced solutions. He explains the role of Accruent's data platform in managing reporting, business intelligence, and insights generation. Accruent's IoT analytics platform connects sensors to assets, providing telemetry data and predictive models to solve business challenges. Scott and...

How will AI shape the future of hiring from a candidate and company perspective? How can AI to help us assess skills and human potential in the hiring process? My guest on this episode is Lindsey Zuloaga, Chief Data Scientist, HireVueDuring our conversation Lindsey and I discuss: Why she calls herself a techno-realist and what that means.Why it is a misconception that AI, not humans make the final hiring decisionsHow evaluating and testing AI tools can prevent falling prey to overhyped, ineffective solutions.The potential of AI to remove traditional biases in the hiring process.How focusing on potential and assessing skills over past experience can transform hiring practices.Connecting with Lindsey: Connect with Lindsey Zuloaga on LinkedInEpisode Sponsor: Next-Gen HR Accelerator - Learn more about this best-in-class leadership development program for next-gen HR leadersHR Leader's Blueprint - 18 pages of real-world advice from 100+ HR thought leaders. Simple, actionable, and proven strategies to advance your career.

In this insightful episode of "The Brand Called You," host Sandeep Tyagi sits down with Alok Aggarwal, the CEO and Chief Data Scientist of Scry Analytics. Tune in as they discuss Alok's journey from setting up IBM's research lab in India to co-founding EvaluServe and leading Scry Analytics. Discover the challenges and opportunities in the knowledge management systems space, the limitations of Large Language Models (LLMs) in B2B scenarios, and the potential economic impact of AI. Alok Aggarwal sheds light on the development of Auriga, a sophisticated knowledge management system tailored for complex industries like investment banking. He also reflects on the transformation of the KPO industry and offers his thoughts on current issues, including climate change and technology hype cycles. --- Support this podcast: https://podcasters.spotify.com/pod/show/tbcy/support

DJ Patil served as the first U.S. Chief Data Scientist under President Obama. He's currently a GP at GreatPoint Ventures, on the Board of Devoted Health, and co-chairs the taskforce on GenAi for the Pentagon.In this episode of World of DaaS, DJ and Auren discuss: AI's impact on data scienceHealthcare data transformationInnovation, bureaucracy and efficiency in National SecurityThe best higher education choices in terms of ROILooking for more tech, data and venture capital intel? Head to worldofdaas.com for our podcast, newsletter and events, and follow us on X @worldofdaas.  You can find Auren Hoffman on X at @auren and DJ Patil on X at @dpatil.Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

This episode on Fraudish Kelly speaks Erik Halvorson a life long learner and soon to be Doctor, who shares his extensive journey from joining the Air Force to becoming Chief Data Scientist at Tracklight. Erik delves into the evolution of fraud detection techniques, emphasizing the importance of data analytics, behavioral psychology, and social network analysis in combating modern fraud schemes. The conversation provides practical advice for investigators and a peek into the future of technology in fraud detection.Connect with Erik: https://www.linkedin.com/in/erik-halvorson-a7b72285/And please leave us a review if you enjoyed this episode!

Today's guest is Juan Ferres, Corporate Vice President and Chief Data Scientist at Microsoft. Juan returns to the program to explore how to win buy-in for sustainable AI projects. As a leader in the AI4G Lab and author of the new book AI for Good, Juan shares insights on navigating complex digital transformations, particularly when it comes to initiatives where the return on investment is philosophical rather than immediately measurable. Throughout the episode, Juan and Emerj Senior Editor Matthew DeMello discuss the challenges of managing up and driving forward AI innovations that aim to benefit society as a whole. If you're interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI leaders, visit emerj.com/p1.

AI is a fast-growing field full of potential insights, challenges, and ethical implications for its users and the world. How can the people behind the machines explore the ways to use AI and data technology to leverage societal benefits?Juan M. Lavista Ferres is the Corporate Vice President and Chief Data Scientist of the AI for Good Lab at Microsoft. He also co-authored the book AI for Good: Applications in Sustainability, Humanitarian Action, and Health.Greg and Juan discuss Juan's book 'AI for Good,' various AI projects, and the critical role of data labeling. They also discuss philanthropic initiatives from Microsoft, the transformative impact of robust data collection, and the challenges of applying AI to real-world problems. Juan covers innovations like GPT and Seeing AI, as well as the ethical concerns of open access to AI models, and Satya Nadella's leadership transformation at Microsoft. Listen in for insights into the importance of using AI responsibly, collaborative efforts for accurate data processing, and how AI technology can actually enhance real lives.*unSILOed Podcast is produced by University FM.*Show Links:Recommended Resources:House of MediciAndrew CarnegieMoore's lawGlobal Forest WatchRuler Detection for Autoscaling Forensic ImagesBeMyEyes AppMichael BloombergBrad SmithAmy HoodGuest Profile:Profile at MicrosoftLinkedIn ProfileAIforGood.itu.int ProfileStanford RegLab ProfileSocial Profile on XHis Work:AI for Good: Applications in Sustainability, Humanitarian Action, and HealthGoogle Scholar PageEpisode Quotes:On deciding which ai-driven projects are worth doing12:26: We first ask the questions like, can we solve it through AI? Not a lot of problems can be solved from AI. There's a small portion of them that can be solved with AI. From those problems, does the data exist? Is the data of good quality? And sometimes the answer is no. Even if the data exists, do we have access to the data? Can we get access to the data? We will usually work on the partners' data sets, not our data sets, meaning that the data set will not leave the partners, but sometimes there's no way to have a data-sharing agreement in place, where it makes it impossible to share the data. Once we have that part, the next question is, do we have the right partner? We are not subject matter experts on the point that we work. We are subject matter experts on AI, but if we're working with pancreatic cancer, we need, on the other side, a group of people that are experts on pancreatic cancer, for example. In that case, we try to partner with people who are subject matter experts and are world-renowned.Data needs to be representative19:55: Data is a fundamental part. I would say the majority of the success or failure will happen because of the data set, and investing in understanding the data set—making sure that there's no bias—is a critical part of the work. It's tough; it's difficult. Data needs to be representative.What are the do's and don'ts for companies looking to launch initiatives for good?36:40: I would love more companies. So, this is something that we discussed with my team. Whenever we see other competitors creating something like we do, we feel proud because that would be a success for us in many ways. So I would encourage everybody to use that technology for good. That's something that I think is certainly worth the do's and don'ts; I think it's important to make sure that this organization remains clear that its objective is on the noncommercial part of the philanthropic aspect of the company because, within this organization, the objective is to be helping society and making it clear for the people that are working there. That is something that is helping us a lot. Our end goal is to help society, and I think I would encourage other companies to do it.Is there a possibility of a zero bug project?21:09: Some of these problems require people to really ask the question: how is this model going to be used correctly? And that takes experience. More importantly, I think it's crucial that in many of these cases, we need to be ready to find those problems and fix them, correct? And I think that this is like software development in many ways. The chances of having a zero-bug project are zero, correct? Projects that have zero bugs are projects that people don't use. What I think is important as an organization is to find those problems, be proactive in trying to find them, and be really fast in solving them.

 In this episode, we hosted a globally renowned and prolific guest Dr. Alok Aggarwal, founder, CEO, and Chief Data Scientist of Scry AI, the Author of the book "The Fourth Industrial Revolution & 100 Years of AI (1950-2050)" and an Inventor with 8 patents. Dr. Aggarwal pioneered the concept of “Knowledge Process Outsourcing (KPO)”, “co-founded” Evalueserve (4000+, employees), “founded” IBM's India Research Laboratory, founded Scry AI that builds proprietary AI products for enterprises globally. He has published 125 research articles, taught 2 courses at the Massachusetts Institute of Technology (MIT), has a Ph.D from Johns Hopkins University and a B. Tech. from the Indian Institute of Technology (IIT) Delhi. In this conversation with Pankaj, with insights drawn from his book, "Fourth Industrial Revolution in 100 Years of AI from 1950 to 2050," Dr. Alok presents a compelling argument for why AI is not just another technological trend but a catalyst for a new industrial revolution. He delves into the history of industrial revolutions to understand what makes AI stand out. From steam engines to CPUs, each era has been marked by inventions that transformed societies. This episode offers a thorough analysis of how AI compares to these past innovations, while also cautioning against the hype that surrounds it. He explains how AI's unique capabilities in classification, pattern recognition, and data processing are reshaping industries from banking and technology to healthcare and heavy engineering.For entrepreneurs, the episode highlights the risks of getting caught up in AI hype without developing robust intellectual property and suggests strategies for creating high-value AI products. In this podcast episode we spoke about the below topics, dive in:03:55 - Historical Analysis of Industrial Revolutions19:11 - The Impact of AI on Industries34:05 - Navigating AI and Intellectual Property45:27 - AI Transforming Services in IndiaEnjoyed the podcast? Please consider leaving a review on Apple Podcasts and subscribe wherever you are listening to this.Follow Prime Venture Partners:LinkedIn: https://www.linkedin.com/company/primevp/Twitter: https://twitter.com/Primevp_inThis podcast is for you. Do let us know what you like about the podcast, what you don't like, the guests you'd like to have on the podcast and the topics you'd like us to cover in future episodes.Please share your feedback here: https://primevp.in/podcastfeedback

Host Lina Apsheva and guests Ala Tarighati, Chief Data Scientist and Ida Davidsson Suarez, Lead ESG Data Scientist, talk about the Artificial Intelligence boom and what it means for sustainable finance. They discuss how AI is used in the bank today, and the sustainability pros and cons of this technology.

Today, Host Sandy Vance is talking with Robert Dwyer, PhD EVP, Chief Data Scientist at Certilytics about AI and healthcare. Dr. Dwyer is here to help demystify and readiness  of generative AI. They delve into the transformative impact of generative AI on healthcare data and its revolutionary potential for the industry. Join us as we explore Certilytics, a company dedicated to creating a user-friendly interface for interacting with healthcare data, and their role in empowering healthcare organizations to enhance their efficiency with AI.AI's role in healthcare is now presenting new opportunities for healthcare data and analytics to go beyond just Large Language Models (LLMs) and deliver business intelligence that can impact healthcare administration strategies and help accelerate improved outcomes & efficiency in healthcare. In this episode, they talk about:Dr. Dwyer's background in generative AI and his journey to CertilyticsHow generative AI is transforming the insights that healthcare leaders and organizations can derive from their dataThe impact of data availability on the use and effectiveness of AI in healthcareCertilytics' goal to develop a user-friendly interface that enhances how users interact with healthcare dataThe current surge in AI technology and its implications for the industryThe latest advancements and innovations in large language modelsThe influence of federal regulations on the adoption and application of AI in healthcareHow healthcare organizations are leveraging AI-enriched data to improve outcomes and efficiency A Little About Dr. Robert Dwyer:Dr. Dwyer joined Certilytics in 2014, bringing over a decade of mathematical modeling and machine learning experience in both the private sector and academia, where he worked on problems ranging from the quantification of medical and financial risk to predictive genomics. He is responsible for overseeing the design and pathing of new ML/AI products. Dr. Dwyer graduated from the University of Virginia in 2009 with a B.S. in Biology. He then obtained his M.S. and Ph.D. in computational biology from Princeton University, where he developed variations of maximum entropy algorithms to predict three-dimensional protein folding patterns by mining genomic sequence data. Prior to Certilytics, he worked with a number of startups and think tanks to develop algorithms to predict student loan repayment rates and to track Defense Department allocations.Do you have any questions for Robert Dwyer? Reach out by emailing him at robert.dwyer@certilytics.com. 

Gamma Labs, the leading location intelligence technology company in Ireland, has published a comprehensive new report that sheds light on energy efficiency trends within the nation's housing stock. Collaborating with BERWOW, a specialist in Building Energy Ratings (BER), the report analyses energy efficiency across various socioeconomic demographics, geographic locations, and property types. The report finds a correlation between BER ratings and the socioeconomic status of homeowners. Notably, one-third (33%) of A-rated homes are concentrated in the most affluent 10% of the country, while a mere 2% of homes in the least affluent areas achieve an A rating. Moreover, over a quarter (26%) of homes in these economically disadvantaged regions are rated E or below. In assessing energy efficiency across counties, the study identifies stark disparities. Only four counties - Cork, Kildare, Louth, and Meath - report an excess of A/B-rated homes compared to those rated E/F/G. Conversely, counties such as Clare, Leitrim, Mayo, Offaly, Roscommon, and Tipperary show a concerning trend, with more than double the number of E/F/G-rated homes compared to A/B-rated homes. The findings also indicate that private lettings are the least energy efficient housing option in Ireland, with 86% of such properties receiving a C rating or lower; nearly half (47%) of these homes earned a D rating or worse. In contrast, newly constructed homes demonstrated higher energy efficiency, with 89% assigned an A rating and the remaining properties receiving a B rating. Overall, it is revealed that only 42% of the entire housing stock has been evaluated for a BER certification. Another noteworthy insight uncovered by the research was the uneven distribution of kilowatt-hours per square metre of floor area (kWh/m), which determines a property's BER. Peaks and troughs were observed in every band at the cutoff points between ratings and were more pronounced at cutoffs which would result in a letter change in a property's rating. For example, there were almost three times as many properties listed with an energy requirement of 299 kWh/m than 301kWh/m, with 300kWh/m being the cutoff between a C and D rating. There are a wide number of popular methods to drive even small incremental changes such as the installation of additional low energy lights or a new cylinder lagging jacket. This report is released in conjunction with Gamma's strategic rebranding into two distinct entities. Gamma Labs aims to simplify complexity, support profitability and enable sustainability for organisations by leveraging property and neighbourhood data. Meanwhile, its Insurtech business, Gamma Risk, uses cutting edge technology and analysis to assess risk for insurance companies and related stakeholders. As a step towards sustainability, Gamma Labs is also part of the EU's OneClickRENO research project. This initiative aims to transition to zero-emission building standards by emphasizing the benefits of comprehensive renovations through Building Renovation Passports (BRPs). The full report is available on www.gammalabs.ie/white-paper-ber-insights-energy-efficiency-of-irish-homes/ Commenting on these findings, Charlotte Cuffe, Chief Data Scientist at Gamma Labs, said: "Having access to such property insights is not just useful for homeowners in terms of assessing energy efficiency and retrofitting options (including grants), but also construction companies, energy providers, banks, estate agents and insurance companies. This data can provide a baseline or a benchmark from which people can look to improve their green credentials." Michael Hanratty, CEO of BERWOW, added: "Equipping stakeholders with data which can enhance their service offerings, lower investment risk, and empower sustainable decision-making is a crucial step in the sustainability journey. In turn, this means organisations can make operations greener, people can create more efficient homes, and Ireland as a whole can take crucial ...

You.com showcases the state of AI today The story of you.com is multi-faceted and telling in many ways. You.com was founded in 2020 by Richard Socher, one of the leading NLP (Natural Language Processing) researchers in the world, to offer a better search experience to users and compete with Google. With a startup exit and a Chief Data Scientist stint at Salesforce, Socher got the experience, network and backing he needed to pursue his long-time ambition of taking on Google. That's something few people have tried, with moderate success. Socher diagnosed early enough that the way to success is by carving a niche for you.com. You.com focuses on serving knowledge workers in "complex informational / action searches": elaborate queries, and queries that are really about accomplishing a task, respectively. In 2022, in the pre-ChatGPT era, Socher set out a course for you.com based on AI, apps, privacy, and personalization. In 2024, you.com is staying the course, but a few things have changed. In the GenAI era the competition is growing, and borrowing pages from you.com's book. Language model providers such as OpenAI and Anthropic now offer services similar to you.com. Upstarts such as perplexity.ai have sprung up, and Google itself is embracing the AI approach to search. You.com is making progress too. Since launching in November 2021, you.com has served 1 billion queries and has millions of active users, including from Fortune 500. The company's ARR has grown by 500% since January 2024. Today, you.com announced a $50 million Series B funding round, as well as a new team plan called Multiplayer AI. We caught up with Socher, talked about the news, and took you.com for a spin. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2024/09/04/you-com-raises-50m-to-lead-ai-for-knowledge-workers/

Join Mike Srdanovic, Chief AI Architect at Northern Trust, and Charles Morris, Chief Data Scientist for Financial Services at Microsoft as they explore the rapid advancements in AI technology and its impact on the financial services industry. Mike and Charles share a comprehensive overview of AI co-pilots and agents, regulatory challenges, and the evolving landscape … Read More Read More

What impact is generative AI having on search behaviors and how is that affecting the way we approach content marketing in the B2B space? In this episode of The Content 10x Podcast, host Amy Woods speaks to Christopher Penn, who is the Co-Founder and Chief Data Scientist at Trust Insights, an organization that helps companies collect data so they can make better decisions. Together they discuss the rapidly evolving landscape of generative AI search behaviors and their impact on content marketing. Christopher shares insights into how search engines are powered by AI to deliver the snippet answers that appear at the top of SERPs (Search Engine Results Page). More and more people tend to go to the gen AI tools like ChatGPT and Perplexity for information and answers. All of this is changing the dynamics of content visibility and traffic. Christopher highlights the need to create 'the most best content' and adopt a multi-channel distribution strategy to ensure brand prominence. He also provides actionable advice on utilizing AI in content marketing, including understanding training data, leveraging SEO, and a framework for assessing tasks suitable for AI. Find out: The impact of gen AI on search trafficHow to train gen AI to recognize your brandThe importance of repurposing content to maximize reachImportant links & mentions:Trust Insights https://www.trustinsights.ai/Trust Insights' 5P Framework https://www.trustinsights.ai/blog/2024/03/why-change-management-the-trust-insights-approach/Christopher on LinkedIn https://www.linkedin.com/in/cspenn/Amy's book: https://www.content10x.com/book (Content 10x: More Content, Less Time, Maximum Results)Amy Woods is the CEO and founder of Content 10x, the world's first and longest-running specialist content repurposing agency that partners exclusively with B2B tech and professional services businesses.Amy is a best-selling author, hosts two content marketing podcasts (The Content 10x Podcast and B2B Content Strategist), and speaks on stages all over the world about the power of content repurposing.Join hundreds of business owners, content creators and marketers and get content repurposing tips and advice delivered straight to your inbox every week https://www.content10x.com/newsletter

Join us for an insightful episode of the Data Bytes Podcast featuring Gaia Bellone, Chief Data Scientist at Prudential Financial. Gaia's illustrious career spans roles such as Senior Vice President at KeyBank and Executive Director at Chase, highlighting her expertise in data science and AI. In this episode, Gaia shares her career journey, from her academic beginnings at Carnegie Mellon University and Università Bocconi to leading groundbreaking projects in the financial services industry. Listen in as she discusses the evolving role of data science, key industry trends, and provides valuable advice for aspiring data scientists on balancing professional growth with personal well-being. --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Join us in this episode as we dive into the transformative impact of responsible AI with David Ellison, Chief Data Scientist at Lenovo. Discover how Lenovo's Responsible AI Committee and its six guiding principles are setting new standards for privacy, security, and diversity in AI. David shares practical techniques such as data minimization and differential privacy, highlighting their roles in promoting transparency, accountability, and sustainable innovation in AI. Learn how these practices are not only shaping Lenovo's AI strategy but also paving the way for a more ethical and inclusive future in technology. #IntelAI @IntelAI

In episode #103 of

Jaké obavy ohledně umělé inteligence jsou reálné a jaké jsou trochu nafouklá bublina? Co čekat od dalšího vývoje generativní umělé inteligence, např. od ChatGPT-5? A jak tohle všechno změní naše vnímání práce, vlastní hodnoty a smyslu života? Dalším hostem Deep Talks byl Jan Romportl. Honza má téměř 20 let zkušeností jako výzkumník a expert v oblasti umělé inteligence. Získal z umělé inteligence nejen doktorát a magisterský titul v oboru kybernetiky, ale i další magisterský titul z filozofie. Dříve působil jako Chief Data Scientist v O2 a nyní se naplno věnuje svému start-upu Elin.ai. Odkazy: - Test silných stránek a talentů Talent Kompas (20% sleva s kódem PETR20): http://talentkompas.cz//?ref=5  

Join CXOTalk episode 843 to explore how AI is transforming leadership. Anthony Scriffignano (former Chief Data Scientist of Dun and Bradstreet) and Inderpal Bhandari (former Global Chief Data Officer of IBM), share their expertise on the evolving role of AI in business, the challenges of integrating new technologies, and the importance of cultural shifts within organizations. Don't miss this engaging discussion on the future of work and leadership.AI #Leadership #DigitalEconomy #CxOTalk #Technology #Innovation #BusinessTransformation #FutureOfWork #DataScience #aileadership 

Today we're joined by Ray Lane and DJ Patil from GreatPoint Ventures. Ray, known for his pivotal role at Oracle during its turnaround, shares his journey from the US Army to top tech positions and eventually co-founding GreatPoint Ventures, where he supports entrepreneurs. DJ Patil – investor, entrepreneur, and former U.S. Chief Data Scientist – joins to dive into the evolution of databases.Tune in as they share their experiences with early databases such as Db2, the rise of Postgres, and current challenges in the tech landscape. With insights on leadership, community-driven development, and more, this episode is a must-listen for developers, entrepreneurs, and tech enthusiasts.In this episode, we explore:The critical need for evolving roles within a company to foster growthChallenges of data distribution vs. keeping data centralized and speedy“Siding with the community” and enhancing user capabilitiesThe risks of rushing towards generative AI, and the importance data hygiene and data cultureLinks mentioned:GreatPoint VenturesDJ Patil on LinkedInRay Lane on LinkedIn

This week, The Buzz presents a session from our 2024 Health Innovation Summit. In this panel, experts discuss discuss Barriers to Access (what prevents people from accessing care), Equity and Inclusion (making care accessible to all populations, especially marginalized or underserved groups), and Patient-Centered Care (the importance of understanding and addressing the specific needs of patients). Speakers:Michael "MJ" Jackson (Moderator) - VP, Head of Global Industries at DocuSignDr. Kristen Honey -  Chief Data Scientist, Executive Director of Innovation at HHSVan Ly - Senior Consultant and Product Owner at Michigan Health Information ExchangeKen Rubin -  Senior Advisor, Standards and Interoperability at the VA's Office of Clinical Informatics Kathryn Umali -  Director, Community Based Division at HHSSubscribe on your favorite podcast platform to never miss an episode! For more from ACT-IAC, follow us on LinkedIn or visit http://www.actiac.org.Learn more about membership at https://www.actiac.org/join.Donate to ACT-IAC at https://actiac.org/donate.Intro/Outro Music: Focal Point/Young CommunityCourtesy of Epidemic Sound

Christopher Penn is a co-founder and Chief Data Scientist at Trust Insights. Chris' newsletter is something the TREW Crew passes around our slack channel on a regular basis. His insights into the latest news about data analytics, automation, and generative AI, have been immensely valuable to or team, and we are thrilled he accepted our invitation to be a guest on Content Marketing, Engineered podcast.In this episode, Morgan Norris, Senior Brand Strategist at TREW Marketing, asks Chris all of our burning questions about generative AI. They discuss the challenges and opportunities that arise when using generative AI or in-platform AI tools, and he provide a unique perspective about how AI should really be used as a research tool - something technical marketers can use to increase their knowledge of highly complex industries. They discuss AI disclosures to stay compliant with recent EU regulations, copyright issues, and a framework to help you decide which tasks are truly worthy of AI. They also have a conversation about the rise of AI generated, no-click search and how marketers should update the way they approach content marketing.ResourcesConnect with Christopher on LinkedInConnect with Morgan on LinkedInLearn more about the Trust InsightsRelated Episode: Generative AI for Marketing - Maintaining Trust and Building an AI PolicyRelated Episode: Optimizing for LLMs and Google's SGE with Dale Bertrand

In this podcast episode, we explore with Dr. Alok Aggarwal, CEO and Chief Data Scientist at Scry AI. about the past, present, and future of artificial intelligence. He traces the evolution of AI from its early beginnings in the 1950s to its current state, marked by rapid advancements and the emergence of the fourth industrial revolution. We listen to the story behind Scry AI. and how we explore the world of generative AI.If you are interested to learn more about his book "The Fourth Industrial Revolution & 100 Years of AI (1950-2050)”, here is the link to purchase it from Amazon: https://a.co/d/arodd1HAWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com

Welcome to Regarding Consciousness, where we delve into the fascinating realms of artificial intelligence and its profound implications for humanity. I'm your host, Jennifer K. Hill, and today we're joined by Beth Rudden, coauthor of "AI for the Rest of Us," to explore how AI is reshaping our understanding of consciousness and our relationship with technology.In this interview with Beth, you'll discover:-Beth shares why we all need to be knowledgeable in AI...01:50-What is "data" as it pertains to AI?...04:17-How to use data and AI to inform your own consciousness rather than be controlled by it...11:11-Advice for people who might be afraid of the potential emergence of consciousness as it relates to artificial or ancestral interventions...16:30-How do we cultivate trust rather than fear with our partner who in this case happens to be artificial intelligence?...22:50-No, artificial intelligence will NOT one day rule the world...26:37-And much more...As we conclude this enlightening conversation, we invite you to continue exploring the evolving landscape of AI and consciousness. Stay tuned for more insightful discussions on Regarding Consciousness.Resources mentioned:AI for the Rest of Us - Coauthored by Beth RuddenAbout the guest:Connect on LinkedInBeth is a dynamic global executive and market creator with over two decades of expertise in IT leadership and cognitive science. Her tenure as Chief Data Officer, Chief Data Scientist, and Global Talent Transformation Leader saw her deftly steer digital transformations through the strategic deployment of trusted, high-integrity AI systems. Beth's vision transformed analytics and AI advances into a profitable $2B enterprise, placing her among the foremost 100 leaders in AI Ethics. A staunch proponent and trailblazer of ethical AI, Beth advocates for the democratization of transparent and responsible AI technologies. She founded Bast AI in 2022, which revolutionizes how organizations leverage full stack explainable AI to improve business impact and end user adoption of AI technologies across industries and sectors. Beth honed her analytical acumen with a Masters in Anthropology from the University of Denver and sharpened her literary skills with a Classics Degree from Florida State. As an influential keynote speaker, inventor with over 50 patents, and author of "AI for the rest of US," her contributions are formidable. Beyond her professional achievements, Beth flourishes in her role as a storyteller, wife of a soldier, mother, mentor, and revered science and technology board advisor. Her dedication to fostering educational and innovative pursuits is mirrored in her active role on the Maryville University Board of Trustees, where she tirelessly works to sculpt the next generation of innovators. OptiMatchAre you ready to stop struggling with high churn rates, decreased satisfaction, and financial losses due to poor matches in your business? See how the power of our SaaS algorithm delivers proven increases in satisfaction, higher retention rates, and increased revenue for businesses and marketplaces.OptiMatch is designed to be integrated into your existing recruitment process and used alongside your other tools.Our cutting-edge algorithms facilitate successful matches between employees and employers or customers and practitioners, resulting in proven increased satisfaction, effective sessions, higher retention rates, and increased revenue.Say goodbye to the friction,...

This week we welcome Lindsey Zuloaga, Chief Data Scientist at HireVue Transitioned from academia to industry, driven by frustrations with the hiring process. Developed and improved HireVue AI-driven video interview analysis, moving from facial analysis to focusing on language and context. Lindsey explains HireVue processes to ensure fairness and reduce bias in AI tools. Optimistic view of AI's role in creating more job opportunities and better job matches by understanding skills comprehensively. Emphasized the need for continuous adaptation and agility in the workforce as technology advances. We discuss HireVue mention in the book "The Algorithm"

In this episode of the NEJM AI Grand Rounds podcast, Dr. Nigam Shah, a distinguished Professor of Medicine at Stanford University and inaugural Chief Data Scientist for Stanford Health Care, shares his journey from training as a doctor in India to becoming a leading figure in biomedical informatics in the United States. He discusses the transformative impact of computational tools in understanding complex biological systems and the pivotal role of AI in advancing health care delivery, particularly in improving efficiency and addressing systemic challenges. Dr. Shah emphasizes the importance of real-world integration of AI into clinical settings, advocating for a balanced approach that considers both technological capabilities and the systemic considerations of AI in medicine. The conversation also explores the democratization of medical knowledge, why open-source models are under-researched in medicine, and the crucial role of data quality in training AI systems. Transcript.

#179: Nicholas Ciufentes-Goodbody transitioned from a career in teaching to becoming the Chief Data Scientist at WorldQuant University.  He explains what data science involves, what a career in data science looks like, and why it's such a popular field to work in. What you'll learn[1:45] What WorldQuant University is and the types of programs they run. [3:42] How a free university is possible in America.[4:13] The motivation for a hedge fund to run a free university. [4:50] What data science is and how it's used. [6:03] The biggest employers of data scientists. [8:21] What a typical day as a data scientist is like. [10:12] The different specialities within data science. [12:08] What it means to be an AI engineer. [12:40] What qualifications you need to become a data scientist. [14:43] The level of education you need to become a data scientist. [16:27] Character traits that successful data scientists share. [18:10] The amount of nerds working in data science. [20:08] Why musicians become data scientists and doctors. [21:15] How to transition your career to become a data scientist. [27:37] What you need on your resume when applying for a data science role. [29:07] The best ways to learn the skills you need to become a data scientist.  [30:29] How to edit your CV when applying for a data science job. [31:55] How to find a good data science boot camp. [33:51] The base knowledge you need prior to joining a data science boot camp. [36:30] The income potential of a data scientist. [38:17] The career path of a data scientist. [39:28] The impact AI will have on data scientists. [42:12] The ever-changing nature of data science. Resources mentioned in this episodePlease note that some of these are affiliate links and we may get a commission in the event that you make a purchase.  This helps us to cover our expenses and is at no additional cost to you.DataCampKaggleopenAFRICACourseraUdemyAn Introduction to Statistical Learning, Gareth JamesHands-on machine learning with Scikit-Learn, Keras, and TensorFlow, Aurelien GeronFluent Python, Luciano RamalhoMathematics for Human Flourishing, Francis SuFor the show notes for this episode, including a full transcript and links to all the resources mentioned, visit:https://changeworklife.com/using-chatgpt-to-supercharge-your-career/Re-assessing your career?  Know you need a change but don't really know where to start?  Check out these two exercises to start the journey of working out what career is right for you!

Jacob and Nikhil sit down with Dr. Atul Butte, a professor at UCSF, Chief Data Scientist of the UC Health System, and a co-founder of numerous healthcare startups. They discuss Dr. Butte's takes on healthcare AI opportunities, challenges, hype, and more. (0:00) intro(0:31) AI hype through the years(5:44) when LLMs don't work(8:42) when LLMs surpass humans(11:07) AI adoption timeline(13:22) converting skeptical doctors(20:30) commercialization in AI(24:15) how will AI change med school?(33:28) regulating consumer-facing AI apps(44:08) over-hyped/under-hyped(45:44) coolest AI demos(47:06) what company would Atul want to run? Out-Of-Pocket: https://www.outofpocket.health/

In this week's episode of the TechTank Podcast, co-host Nicol Turner Lee speaks with Dr. Dominique Duval-Diop, the Chief Data Scientist for the United States, who reports directly to the Biden-Harris administration. Hear more about the White House's focus on equitable data and strategies for its effective implementation within our rapidly evolving systems. Dr. Duval-Diop also provides insights into how the nation navigates the plethora of data needs, including at federal agencies. Hosted on Acast. See acast.com/privacy for more information.

Dr. Luke Wilson (Chief Data Scientist and Senior Partner at Vizias. Vice President of the Board of Directors at Austin AI Alliance) has been a leading figure in high-performance computing and artificial intelligence for over two decades, with a distinguished career spanning academia, finance, and tech. Starting at the Texas Advanced Computing Center, he significantly contributed to the design and deployment of numerous Top500 systems, later enhancing TACC's educational offerings as Director of Training. At Dell Technologies, he pioneered groundbreaking work in HPC/AI infrastructure, earning him the title of Chief Data Scientist. Recently, at Optiver, he has been at the forefront of developing cutting-edge research infrastructure for high-frequency trading. With a PhD from the University of Texas at San Antonio, Luke has been instrumental in projects that have shaped the future of AI, including work that contributed to the Nobel Prize-winning LIGO project and optimizations for early transformer neural networks. An author of numerous research papers, Luke's work continues to influence the evolving landscape of technology and AI

A CMO Confidential Interview with D J Patil, a Great Point Ventures investor and former U.S. Chief Data Scientist in the Obama Administration. D J discusses why everyone should "Take the red pill," his belief that AI will accelerate at speed, and why you shouldn't delegate this responsibility to a single person or team. Key topics include: why "boring, repeatable problems" offer the best current use cases; how AI can move you from creator to editor; how the DoD is thinking about AI; why failing now allows for success later; and why many marketing databases are not ready for prime time. Tune in to hear how generative AI started with a database of cat photos.00:00 Welcome to CMO Confidential: Inside the World of Chief Marketing Officers00:43 Diving Deep into AI: Red Pill or Blue Pill?01:35 The Evolution and Impact of AI on Society05:27 AI's Practical Applications and Limitations08:15 AI in the Workplace: Enhancing Efficiency and Creativity13:02 Navigating AI's Challenges: Public Mistakes and Ethical Considerations18:04 Government's Role in AI Regulation and Future Predictions22:41 AI in Marketing: Embrace or Be Left Behind25:08 Vendor Management and Investment Advice in the AI Era29:34 Embracing Failure and Experimentation in AI34:19 Parting Wisdom: Staying Ahead in the AI Game#aimarketing #marketingai #data Linkedin: @CMOConfidentialSpotify: https://open.spotify.com/show/1MzXYx0wRB3thgZitlfJoS?si=406b1b98eca6470fApple Podcast: https://podcasts.apple.com/us/podcast/cmo-confidential/id1668226567Youtube: @CMOConfidentialSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In the first hour of VSiN Primetime, host Tim Murray & Jared Smith are joined by Pete Medhurst to break down the upcoming Army at Navy matchup. Also on the show is Tyler Jermann. Chief Data Scientist at Sports Betting Innovative Analytics, as they discuss the 1st college football Championship games and what this tells us about the upcoming slate of games.See omnystudio.com/listener for privacy information.