Podcast appearances and mentions of tom davenport

In this episode of Alter Everything, we talk with Ian Barkin and Tom Davenport, authors of 'All Hands On Tech: The AI-Powered Citizen Revolution.' They discuss their motivations for writing the book, the emerging role of citizen developers, and the democratization of data science and AI. Themes include the evolution of low-code/no-code tools, the importance of governance in deploying AI, and future implications of generative AI in citizen development. Listeners are encouraged to register for the Alteryx Inspire 2025 conference and can access free chapters of the book via the show's website.Panelists:Tom Davenport, Distinguished Professor @ Babson College - LinkedInIan Barkin, Founding Partner @ 2BVentures - LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Two FREE chapters of All Hands on Tech: The AI-Powered Citizen RevolutionAll Hands on Tech: The AI-Powered Citizen Revolution Full BookInspire breakout session catalog Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music and Mike Cusic for the for our album artwork.

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM FULL SHOW NOTES https://www.microsoftinnovationpodcast.com/665 Stevie Sims shares his journey from chemical plant operator to lead Power Platform developer at Shell, demonstrating how business expertise combined with low-code tools can transform organizations.TAKEAWAYS• Started career in operations, climbing towers and turning valves before discovering Excel• Hurricane Ida became a pivotal moment when he built a Power BI dashboard to manage recovery• Transitioned from citizen developer to fusion team member building complex apps and automations• Believes companies should encourage operational experts to upskill with technical tools• Emphasizes the importance of business knowledge when developing technical solutions• Advocates for "ring-fencing" talented citizen developers for focused development periods• Prevents duplicate development efforts through idea triage and solution sharing• Featured in new book "All Hands on Tech: AI-Powered Citizen Developer Revolution"Check out "All Hands on Tech" by Ian Barkin and Tom Davenport, featuring Steve's story and other inspiring examples from the low-code no-code space.This year we're adding a new show to our line up - The AI Advantage. We'll discuss the skills you need to thrive in an AI-enabled world. DynamicsMinds is a world-class event in Slovenia that brings together Microsoft product managers, industry leaders, and dedicated users to explore the latest in Microsoft Dynamics 365, the Power Platform, and Copilot.Early bird tickets are on sale now and listeners of the Microsoft Innovation Podcast get 10% off with the code MIPVIP144bff https://www.dynamicsminds.com/register/?voucher=MIPVIP144bff Accelerate your Microsoft career with the 90 Day Mentoring Challenge We've helped 1,300+ people across 70+ countries establish successful careers in the Microsoft Power Platform and Dynamics 365 ecosystem.Benefit from expert guidance, a supportive community, and a clear career roadmap. A lot can change in 90 days, get started today!Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Cassie and Matt begin Goose Girl Month with the Goose Girl episode from Tom Davenport's Tales from the Brothers Grimm featuring Helen Stoltzfus, Allison Brody, Sam Carter, Gene Morrill, Bo Patterson, and more. This series from the 80s reset classic fairy tales into settings from Appalachian history, specifically in one of the earliest American settlements for The Goose Girl. We discuss how the story is interpreted for this real world setting, what other periods of American history might have worked for this story, the Salem Witch Trials, the Untitled Goose Game, and more.Join our community! View all of the benefits of joining our Patreon including the Official Of Slippers and Spindles Book Club, exclusive polls, monthly bookmarks, Zoom hangouts, and more! https://patreon.com/ofslippersandspindles Visit our our merch store, Facebook group, Instagram, Discord, and more! https://linktr.ee/ofslippersandspindles We love to hear from you! You can reach us at ofslippersandspindles@gmail.com Music: Through The Woods by Shane Ivers - https://www.silvermansound.com  

The most highly anticipated development in AI this year is probably the expected arrival of AI agents, also referred to as “agentic AI”. We are told that AI agents have the potential to reshape how individuals and organizations interact with technology.Our guest to help us explore this is Tom Davenport, Distinguished Professor in Information Technology and Management at Babson College, and a globally recognized thought leader in the areas of analytics, data science, and artificial intelligence. Tom has written, co-authored, or edited about twenty books, including "Competing on Analytics" and "The AI Advantage." He has worked extensively with leading organizations and has a unique perspective on the transformative impact of AI across industries. He has recently co-authored an article in the MIT Sloan Management Review, “Five Trends in AI and Data Science for 2025”, which included a section on AI agents – which is why we invited him to talk about the subject.Selected follow-ups:Tom Davenport - personal siteFive Trends in AI and Data Science for 2025 - MIT Sloan Management ReviewMichael Martin Hammer - WikipediaAI winter - WikipediaAI is coming for the OnlyFans chat industry - FortuneHow Gen AI and Analytical AI Differ — and When to Use Each - Harvard Business ReviewTruth Terminal - The AI Bot That Became a Crypto Millionaire - a16zJim Simons - WikipediaWhy The "Godfather of AI" Now Fears His Own Creation - Curt Jaimungal interviews Geoffrey HintonAttention Is All You Need - Google researchers Apple suspends error-strewn AI generated news alerts - BBC NewsGen AI cuts costs by 30% - London Futurists Podcast episode featuring David Wakeling, partner at A&O ShearmanThe path to agentic automation is UiPath - UiPathMicrosoft CEO Predicts: "AI Agents Will Replace ALL Software" - AI Insights ExplorerNVIDIA CEO Jensen Huang Keynote at CES 2025 - NvidiaPioneering Safe, Efficient AI - ConsciumA New Survey Of Generative AI Shows Lots Of Work To Do - October 2023 article by Tom DavenportGen AI: Too much spend, too little benefit? - Goldman SachsMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

Our guest on this week's episode is Ian Wilson, Senior Analyst with Intelligence Solutions at Everstream Analytics. At what seems like the 11th hour, dockworkers and ports on the East and Gulf Coasts agreed to a new contract. What will labor peace mean for shippers using those ports? Our guest has some insights. He also talks about whether there will be possible impacts for shippers on the West Coast due to the out-of-control wildfires raging around Los Angeles.In a report in the MIT Sloan Management Review, researchers Tom Davenport and Randy Bean wrote about five trends in AI and data science that all businesses should be paying attention to this year. AI has become a very hot topic in logistics circles in the past couple of years, so any research that sheds light on how this technology is affecting business and commerce is something we want to pay attention to. The five trends range from the promise of agentic AI to the struggle over which C-suite role should oversee data and AI responsibilities.We're in a part of the business cycle where it can be pretty difficult to find enough warehouse space to rent or lease, whether you're a manufacturer, retailer, or a 3PL. This information comes from a quarterly measurement from the commercial real estate firm Cushman & Wakefield. The report said the overall national industrial real estate vacancy rate edged higher in the fourth quarter. More vacancy means it's easier to find a place to rent—although vacancy still remains well below pre-pandemic levels. We discuss the report's outlook for available space in the new year. Supply Chain Xchange  also offers a podcast series called Supply Chain in the Fast Lane.  It is co-produced with the Council of Supply Chain Management Professionals. A series of ten episodes is now available on the "State of Logistics." The episodes provide in-depth looks into the current states of key transportation modes, such as trucking, rail, air, and ocean. It also looks at inventory management, 3PLs and more.  All ten episodes are available to stream now. Go to your favorite podcast platform to subscribe and to listen to past and future episodes. The podcast is also available at www.thescxchange.com.Articles and resources mentioned in this episode:Everstream AnalyticsFive trends in AI and data science for 2025Demand for warehouse space cooled off slightly in fourth quarterVisit Supply Chain XchangeListen to CSCMP and Supply Chain Xchange's Supply Chain in the Fast Lane podcastSend feedback about this podcast to podcast@agilebme.comPodcast is sponsored by: CSCMP EDGE 2025Other linksAbout DC VELOCITYSubscribe to DC VELOCITYSign up for our FREE newslettersAdvertise with DC VELOCITYTop 10 Supply

923: In their latest book, All Hands on Tech, Babson College Professor Tom Davenport and automation pioneer Ian Barkin explore how citizen development is transforming the workplace. In this episode of Technovation, Peter High interviews Tom and Ian about the core concepts of their book, covering the rise of citizen developers, the role of governance frameworks, and real-world case studies that demonstrate the impact of democratizing technology.

Derek Zimmerman is a former American professional beach volleyball player and coach. To say that he has played with and against the best American players in the history of the sport would be an understatement. From a slew of legends on the regional scene, to multiple AVP champs to a handful of Olympic gold medalists, the hard work, love and respect he put in to make his name is well-documented. 02:25 - What we like about "the league" for the AVP (or not?) 17:55 - Going back to Evan Cory's first win, the atmosphere, and playing with attitude, the NOLA scene, night lights, and how the scene/courts came into fruition, 27:39 - About Dave Culpepper, Joe Rogan 39:03 - The power of the volleyball community, and the different cities in comparison and contrast, about Tom Davenport, Ken Kass, Steven Roschitz 46:29 - How much of the game is mental and how much do we train it? 52:20 - playing at venues not AVP, EEVB, Motherlode, the encyclopedic knowledge of some of these purists and fans, plus, an important emphasis of not defining people by their worst moments 1:05:40 - The night before some tournaments (use your imagination) 1:09:40 - Give me a few partners where you did not have to deal with your partner, about Dale Davis, Adam Roberts 1:23:20 - The NCAA double-hit rule, calling hands on the indoor, beach and grass scene 1:52:10 - We've coached all kinds of teams, a list of gratifying things about coaching. 1:57:30 - Lightning rounds

In today's episode of AI Unchained we dive into a plethora of new developments in Ai tailored hardware, the scope of what leaps in performance and capacity we may see in the next year, what it means for open source, how to access your local run Ai from anywhere with the Pear Stack, and yet another major tool in generative Ai that will take story telling to a new level? Join Guy Swan as he unpacks the latest and their profound implications for both developers and users alike. Links to check out Nvidia A100 chip (Link: https://tinyurl.com/w2sw7ypr) Nvidia H100 chip (Link: https://tinyurl.com/bdznducy) AMD's MI 300X (Link: https://tinyurl.com/5ay5vm48) Google Axion Processors/Arm-based CPUs (Link: https://tinyurl.com/jd7chher) IBM's AI chips (Link: https://tinyurl.com/y8kjyk8p) Apple's AI integration in iOS (Link: https://tinyurl.com/4k8dz7u9) Panochio tool for web generation (Link: https://pinokio.computer/) Pinokio application for local hosting of AI tools⁠ (Link: https://docs.pinokio.computer/download/) LM Studio AI model management (Link: https://lmstudio.ai/) Keet chat app and the Pear protocol (Link: https://keet.io/) Mixtral 22B and other models from Hugging Face (Link: https://tinyurl.com/mv67p2uy) LLM Studio for managing large language models (Link: https://tinyurl.com/3fbactk2) TorchTune documentation (Link: https://pytorch.org/torchtune/main/) Mistral AI (Link: https://tinyurl.com/33zjuy9z) GitHub SWE-agent (Link: https://tinyurl.com/3hjwnv5d) Holesail (Link: https://holesail.io/) Tom Davenport on X (Link: https://tinyurl.com/438r9z69) UdioAI (https://udioai.ai/) Host Links Guy on Nostr (Link: http://tinyurl.com/2xc96ney) Guy on X (Link: https://twitter.com/theguyswann) Guy on Instagram (Link: https://www.instagram.com/theguyswann/) Guy on TikTok (Link: https://www.tiktok.com/@theguyswann) Guy on YouTube (Link: https://www.youtube.com/@theguyswann) ⁠Bitcoin Audible on X⁠ (Link: https://twitter.com/BitcoinAudible) Check out our awesome sponsors! Get 10% off the COLDCARD with code BITCOINAUDIBLE ⁠⁠⁠⁠⁠⁠(Link: bitcoinaudible.com/coldcard⁠⁠⁠⁠⁠⁠) Swan: The best way to buy, learn, and earn #Bitcoin (Link: https://swanbitcoin.com)

In today's episode of AI Unchained we dive into a plethora of new developments in Ai tailored hardware, the scope of what leaps in performance and capacity we may see in the next year, what it means for open source, how to access your local run Ai from anywhere with the Pear Stack, and yet another major tool in generative Ai that will take story telling to a new level? Join Guy Swan as he unpacks the latest and their profound implications for both developers and users alike.   Links to check out Nvidia A100 chip (Link: https://tinyurl.com/w2sw7ypr) Nvidia H100 chip (Link: https://tinyurl.com/bdznducy) AMD's MI 300X (Link: https://tinyurl.com/5ay5vm48) Google Axion Processors/Arm-based CPUs (Link: https://tinyurl.com/jd7chher) IBM's AI chips (Link: https://tinyurl.com/y8kjyk8p) Apple's AI integration in iOS (Link: https://tinyurl.com/4k8dz7u9) Panochio tool for web generation (Link: https://pinokio.computer/) Pinokio application for local hosting of AI tools⁠ (Link: https://docs.pinokio.computer/download/) LM Studio AI model management (Link: https://lmstudio.ai/) Keet chat app and the Pear protocol (Link: https://keet.io/) Mixtral 22B and other models from Hugging Face (Link: https://tinyurl.com/mv67p2uy) LLM Studio for managing large language models (Link: https://tinyurl.com/3fbactk2) TorchTune documentation (Link: https://pytorch.org/torchtune/main/) Mistral AI (Link: https://tinyurl.com/33zjuy9z) GitHub SWE-agent (Link: https://tinyurl.com/3hjwnv5d) Holesail (Link: https://holesail.io/) Tom Davenport on X (Link: https://tinyurl.com/438r9z69) UdioAI (https://udioai.ai/) Host Links ⁠Guy on Nostr ⁠(Link: http://tinyurl.com/2xc96ney) ⁠Guy on X ⁠(Link: https://twitter.com/theguyswann) Guy on Instagram (Link: https://www.instagram.com/theguyswann)...

On this episode of The Open Talent Report, Connor Heaney speaks to Tom Davenport, Managing Director of Alvius. Alvius is a leading technology company which provides VMS and talent pooling technology solutions to staffing, recruitment, and jobs businesses.Tom is a 3-time founder. He has also been a consultant for PWC, an Innovation Advisor for the Tesco Group and a soldier in the British Army Reserve. In this episode, Connor & Tom discuss:2.11 Tom's story – how he became an MD at Alvius 8.15 In the era of talent pools and talent marketplaces, why are recruitment and staffing agencies still in business?18.31 The fetishization of failure and Tom's learnings from failure 23.23 The journey of raising money 29.14 The challenges Alvius solves 35.12 The talent scarcity crisis – how can technologies like Alvius's solve this? 45.05 Is there a role in matching talent outside a country's borders? 50.05 AI and jobs displacement 54.48 Predictions for future of workConnect with Tom: https://www.linkedin.com/in/tom-davenport-8a35011a/ Connect with Connor: https://www.linkedin.com/in/hrmconnorheaney/   Visit Alvius's website: https://alvius.com Visit CXC's website: https://www.cxcglobal.com/ 

While Me, Myself, and AI is on winter break, we hope you enjoy this episode. Tom Davenport, President's Distinguished Professor of Information Technology and Management at Babson College, joins Sam and Shervin to talk about their predictions for AI trends in 2024.  Find the additional studies and resources mentioned in the episode below: Tom Davenport's articles with MIT SMR 2024 CDO Insights: Data & Generative AI(form required for download via AWS) Why Companies That Wait to Adopt AI May Never Catch Up What the data says about Americans' Use of Artificial Intelligence (Pew Research) What do AI chatbots really mean for students and cheating? (Stanford Graduate School of Education) Randy Bean's 2024 Executive Survey  Guest Bio Thomas H. Davenport is the President's Distinguished Professor of Information Technology and Management at Babson College, a visiting professor at Oxford's Saïd Business School, and a fellow of the MIT Initiative on the Digital Economy. He is coauthor of Working With AI: Real Stories of Human-Machine Collaboration (MIT Press, 2022). Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.  We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. 

Paul Nash in conversation with David Eastaugh http://www.thedansesociety.com/ In June 2018 the band release an EP, The FUTUR1ST, including a cover of NIN's "Hurt" dedicated to the Sophie Lancaster Foundation, and the tracks "One Thought in Heaven" and "Scream" featuring drummer Joss Rylance who replaced Iain Hunter, and who has subsequently been replaced by Tom Davenport. September 2020 saw the release of the bands 7th Studio album Sailing Mirrors whilst celebrating their 40 years anniversary. And the band are currently in production of their 8th studio album 'The Loop' due to be released late 2023.

From tech companies to healthcare providers and fast food services, organizations are deploying AI technologies to boost productivity and improve service. As these technologies filter into the economy and workplace, a host of questions are arising: will AI replace human labor? How will new technology affect the nature of work? How can we equip workers for the future and help them adapt to change?In their recent book Working with AI: Real Stories of Human-Machine Collaboration, management and technology experts Tom Davenport and Steven Miller explore these questions through real-world case studies. Pushing back against the growing anxiety over AI's impact on work, Davenport and Miller contend that AI will not be a job destroyer, but a job-enhancer, a tool that will largely make work better–not only more productive but also more fulfilling and even more accessible–for most workers.In this episode, Davenport and Miller join Brent to discuss their book, offering a vision of the future of work in which AI and other “smart” technologies complement human labor–and make us richer and more productive in the process.Mentioned in this EpisodeAI life insurance underwritingSalesforceEuropean AI RegulationLump of labor fallacyDBS Bank's use of generative AIEric Brynjolfsson

Tom Davenport author of "All In On AI" by The Best Business Minds

New AI technology enables anyone to become a programmer — opening doors to faster analytics and automation but also presenting big challenges. Organizations need policies and strategies to manage the chaos created by what Tom Davenport calls “citizen developers.” Davenport is a professor of management and information technology at Babson College, and he's been studying how employees are using new AI tools and how companies can both encourage and benefit from this work. He suggests practical ways for team and organizational leaders and IT departments to best oversee these efforts. Davenport is coauthor of the HBR article “We're All Programmers Now” and the book All-in On AI: How Smart Companies Win Big with Artificial Intelligence.

In this episode, Alastair and Howard are once again joined by Tom Davenport, renowned tech thought leader and accomplished author, to discuss the implications of regulating AI and generative technologies while avoiding stifling innovation. They explore the role of AI in augmenting human intelligence, creating efficiencies within businesses, and improving sales conversations. They also tackle the potential impact on jobs, students, society as a whole, and the global competitiveness of nations in the AI space. Follow the Hosts on LinkedIn: Alastair Woolcock (CRO, Revenue.io) Howard Brown (CEO, Revenue.io) And our Special Guest: Tom Davenport (Author, Professor, and World-renowned Thought Leader) Sponsored by: Revenue.io | Powering high-performing revenue teams with real-time guidance Explore the Revenue.io Podcast Universe: Sales Strategy & Enablement Podcast RevOps Podcast Selling with Purpose Podcast *If you'd like to ask the guys a question that could get answered on the show, call our message line at (323) 540-4777. Just leave your name, where you're from, and your question and we'll do our best to answer it on an upcoming episode.

In this week's episode, Howard and Alastair are joined by Tom Davenport, renowned tech thought leader and accomplished author, to discuss the transformative power of generative AI in various industries. They explore the practical applications of AI beyond software development, including its potential in healthcare, knowledge management, and answering customer queries. The conversation also delves into the challenges of implementing bespoke generative AI software and highlights the importance of integrating it into business processes for maximum value. Follow the Hosts on LinkedIn: Alastair Woolcock (CRO, Revenue.io) Howard Brown (CEO, Revenue.io) And our Special Guest: Tom Davenport (Author, Professor, and World-renowned Thought Leader) Sponsored by: Revenue.io | Powering high-performing revenue teams with real-time guidance Explore the Revenue.io Podcast Universe: Sales Strategy & Enablement Podcast RevOps Podcast Selling with Purpose Podcast *If you'd like to ask the guys a question that could get answered on the show, call our message line at (323) 540-4777. Just leave your name, where you're from, and your question and we'll do our best to answer it on an upcoming episode.

779: Tom Davenport, bestselling author and distinguished professor at Babson College, joins us to discuss insights from his latest book, All-in on AI, and give his perspective on the rapid rise of artificial intelligence and its impact on businesses. From his sociology background to becoming a seasoned technology academic, Tom shares reflections on his career path and the evolving landscape of analytics and the birth of AI. Listen to his explanation of the three eras of analytics, culminating in the rise of "Analytics 4.0" powered by AI. As an AI optimist, Tom shares concerns and opportunities associated with AI, including its potential impact on jobs and the declining automation costs. Gain valuable insights into how companies successfully explore AI tools, allocate organizational resources to its experimentation, and strategize its adoption in order to “win big with AI”. Tom also provides his outlook on the future of AI, its influence on consulting, and practical career advice for young professionals in this transformative era.

779: Tom Davenport, bestselling author and distinguished professor at Babson College, joins us to discuss insights from his latest book, All-in on AI, and give his perspective on the rapid rise of artificial intelligence and its impact on businesses. From his sociology background to becoming a seasoned technology academic, Tom shares reflections on his career path and the evolving landscape of analytics and the birth of AI. Listen to his explanation of the three eras of analytics, culminating in the rise of "Analytics 4.0" powered by AI. As an AI optimist, Tom shares concerns and opportunities associated with AI, including its potential impact on jobs and the declining automation costs. Gain valuable insights into how companies successfully explore AI tools, allocate organizational resources to its experimentation, and strategize its adoption in order to “win big with AI”. Tom also provides his outlook on the future of AI, its influence on consulting, and practical career advice for young professionals in this transformative era.

This week on DisrupTV, we interviewed Behshad Behzadi, Vice President of Engineering, Conversational AI, Google Cloud, Tom Davenport and AI Nitin Mittal, Authors of All-in on AI: How Smart Companies Win Big with Artificial Intelligence and Andy Thurai, Vice President & Principal Analyst at Constellation Research. DisrupTV is a weekly Web series with hosts R “Ray” Wang and Vala Afshar. The show airs live at 11:00 a.m. PT/ 2:00 p.m. ET every Friday. Brought to you by Constellation Executive Network: constellationr.com/CEN.

Entra ano, sai ano, e os números sobre o sucesso da transformação digital corporativa mudam muito pouco. Na média, menos de 13% dos projetos dão certo. Como entrar na faixa dos que acertam? Dan Reznik, professor e consultor em ciência de dados, e Hugo Tadeu, diretor do núcleo de inovação e empreendedorismo da Fundação Dom Cabral, nos ajudam a responder.Links do episódioPARA CONHECER: O curso de Transformação Digital da Fundação Dom CabralO livro “Superintelligence”, de Nick BostromO livro “Moonshot: Inside Pfizer's Nine-Month Race to Make the Impossible Possible”, de Albert BourlaO livro "Dez Tipos de Inovação", de Larry Keeley, Ryan Pikkel e Brian QuinnOs artigos e livros do Tom Davenport e do Peter AikenO livro “Mindset da Disrupção”, da Charlene LiO livro “Seeing Around Corners”, de Rita Gunther McGrathO livro “Transformação Digital: repensando o seu negócio para a era digital”, do David Rogers_____FALE CONOSCOEmail: news@theshift.info_____ASSINE A THE SHIFTwww.theshift.info

Tom Davenport is an acclaimed author, writer, speaker, and professor helping businesses embrace major 21st century opportunities in artificial intelligence, analytics, big data, and more. A thought leader whom LinkedIn dubbed as a "Top Ten Voice in Tech" in 2018, Tom has changed the game on how people view the technology space. He coined the idea of "competing on analytics," in which in-depth data and analysis are key for organizations to stand above their competitors. Along the same lines, Tom and Business Analytics Professor Jeanne Harris authored a book of the same title, which garnered stellar reviews. Like Harris, he is also a respected academic: the President's Distinguished Professor of Information Technology and Management at Babson College and a Fellow of the MIT Center for Digital Business. An author of 20 books and over 200 articles, Tom Davenport has the essential insights all digital business thought leaders need to build their prestige. He joins Alan Alper on Everything Thought Leadership to talk about the early days of management in thought leadership consulting, what you need to excel today in the information technology sect of thought leadership, and how you too can get into top management journals like HBR. Find out more about Tom on his website: https://www.tomdavenport.com “schmaltz” by Jahzzar is licensed under CC BY-SA 4.0. https://freemusicarchive.org/music/Ja... https://freemusicarchive.org/music/Ja... https://creativecommons.org/licenses/... “Brilliant Island” by Audiorezout is licensed under CC BY-NC-SA 4.0 /Music overlapped to extend track length. https://freemusicarchive.org/music/au... https://freemusicarchive.org/music/au... https://creativecommons.org/licenses/...

The conversation with Tom Davenport was a treat. Even though his latest book, "All-in On AI: How Smart Companies Win Big with Artificial Intelligence" was a big topic of discussion, what lured me in was his seminal book from back in the day called, "The Attention Economy." It was foundational for me, along with Joe Pine's "The Experience Economy." --------------------------------------------------------------------------------- Top 10 Takeaways: 1. Attention is the new currency: In the attention economy, where distractions are abundant, prioritizing and managing attention becomes crucial for productivity and deep engagement. 2. AI transforms the creative process: Generative AI technologies like GPT have the potential to automate content generation, improve quality, increase variety, and personalize content. 3. First drafts become less valued: AI systems like GPT are surpassing human capabilities in writing first drafts, leading to a shift where humans become editors and prompters in the creative process. 4. Editors become essential: As AI generates content, humans must embrace the role of editors to refine and improve the output, identifying novel ideas and ensuring effective communication. 5. New skills are required: Editing and refining AI-generated content are skills that need to be taught and nurtured, as they become essential for leveraging generative AI systems effectively. 6. Copywriting faces disruption: AI poses a significant challenge to copywriters, as it can produce commoditized ad copy more efficiently, but novel approaches to advertising still require human creativity. 7. AI is a threat and an opportunity: Generative AI technologies pose a significant threat to certain job roles, but those who embrace and collaborate with AI will be more effective and productive in their work. 8. Regulation and governance are necessary: AI technologies require better regulation and governance frameworks to address ethical concerns, accountability, and the potential misuse of AI-generated content. 9. Investment and commitment are key: Organizations need to move beyond experimentation and make significant investments in AI, creating dedicated structures and fostering a culture of continuous AI adoption. 10. Embrace AI or be left behind: Ignoring the transformative potential of AI is not an option. Organizations and individuals must embrace AI, adapt, and learn how to effectively leverage it for productivity, creativity, and competitive advantage. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today's guest for the final episode in our five-part ‘AI Futures' series on the ‘AI in Business' podcast is Tom Davenport, an American academic, business leader, and world-renowned voice in matters of artificial intelligence. He joins Emerj CEO and Head of Research Daniel Faggella to discuss the forces that are making new developments in generative AI mandatory across the global economy. Later they examine how business leaders can make the most of these technologies without incurring undue legal risk. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

It is about time companies went all in on artificial intelligence. Tom Davenport joins Vasant Dhar in episode 56 of Brave New World to discuss how his work with AI in the corporate world makes him such an optimist. Useful resources: 1. Tom Davenport on Amazon, Twitter, Google Scholar, LinkedIn, Babson College and his own website. 2. All-in On AI -- Thomas H Davenport and Nitin Mittal.. 3. Competing on Analytics -- Thomas H Davenport and Jeanne G Harris. 4. Working with AI -- Thomas H Davenport and Steven M Miller. 5. The AI Advantage -- Thomas H Davenport. 6. Google fires software engineer who claims AI chatbot is sentient -- The Guardian. 7. Can AI have a soul? -- Fireside Chat with Blake Lemoine. 8. Portrait of an AI Leader: Piyush Gupta of DBS Bank -- Tom Davenport and Randy Bean. 9. The Future Of Work Now: Morgan Stanley's Financial Advisors And The Next Best Action System -- Thomas H Davenport. 10. Stop Tinkering with AI -- Thomas H Davenport and Nitin Mittal. 11. The AI-First Company -- Ash Fontana. 12. Competing in the Age of AI -- Marco Iansiti and Karim R Lakhani. 13. Data Scientist: The Sexiest Job of the 21st Century -- Thomas H Davenport and DJ Patil. 14. Foundation Medicine. 15. How Computer Automation Affects Occupations: Technology, Jobs, and Skills -- James E Bessen. Check out Vasant Dhar's newsletter on Substack. Subscription is free!

Nitin Mittal is the award-winning Head of the AI Business at the leading professional services company Deloitte.Nitin has recently published All in on AI: How Smart Companies Win Big with Artificial Intelligence on Harvard Business Review with co-author Tom Davenport, and he joins us in this episode to tell us more about the book and share some of the key insights and lessons learned.We discuss the need to shift our perspective of artificial intelligence, the importance of an ethical, responsible approach to AI, and more, with Nitin also sharing examples of companies that are positioning themselves as AI pioneers and winning big with AI.Links & mentions:allinonai.comlinkedin.com/in/nitinmittal

Tom Davenport is the President's Distinguished Professor of Information Technology and Management at Babson College. He is also a Visiting Professor at Oxford's Said Business School, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte's AI practice. He is a widely published author and speaker on the topics of AI, analytics, information and knowledge management, reengineering, enterprise systems, and electronic business. Tom has written, co-authored, or edited 23 books, including the first books on business analytics, enterprise AI, business process reengineering, knowledge management, attention management, and enterprise systems. He recently published “Working with AI,” and “Advanced Introduction to AI in Healthcare.” And just published “All in on AI: How smart companies win big with artificial intelligence” He has written over 300 articles for such publications as Harvard Business Review, Sloan Management Review, California Management Review, the Financial Times, and many other publications, and has been a columnist for the Wall Street Journal, Forbes, Information Week, and CIO. He has been named one of the world's top 25 consultants by Consulting magazine, one of the 100 most influential people in the IT industry by Ziff-Davis magazines, and one of the top 50 business school professors by Fortune magazine. In this podcast, he shares:Operational transformation to maximize the use of AINew products and services made capable by AIUsing AI to change customer behavior 5 levels of analytics organization _________________________________________________________________________________________Episode Timeline:00:00—Highlight from today's episode1:17—Introducing Tom + The topic of today's episode3:25—If you really know me, you know that...4:59—What is your definition of strategy?6:00—How does competitive advantage change with the adoption and evolution of AI?7:13—What are the different ways in which companies are thinking about using AI?10:15—Could you elaborate on the idea that you don't have to be a digital-first company to be an AI-fueled one?11:17—What advice do you have for overcoming barriers to implementing AI?13:04—Do you have any lessons form companies that were able to make a successful cultural shift to AI?15:11—Could you talk about the different levels of tech or data maturity that companies fit into?18:10—Where do the teams that work on AI sit within a company?19:33—Is there a particular model or framework that you found particularly helpful that you'd like to share with us?21:26—How can people learn from you and connect with you?__________________________________________________________________________________________Additional Resources: Personal Page: https://www.tomdavenport.com/Linkedin: https://www.linkedin.com/in/davenporttomTwitter: https://twitter.com/tdav

Artificial intelligence (AI) is one of the most transformative technologies ever available to companies. Here we explore why companies have to go all in on AI in order to win big. For this conversation, I am joined by Tom Davenport, President's Distinguished Professor of IT and Management at Babson College and Nitin Mittal, head of the Analytics and AI Practice at Deloitte Consulting. We discuss their brand new book: All In On AI: How Smart Companies Win Big With Artificial Intelligence

Tom Davenport is the President's Distinguished Professor of Information Technology and Management at Babson College. He is also a Visiting Professor at Oxford's Said Business School, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte's AI practice. He is a widely published author and speaker on the topics of AI, analytics, information and knowledge management, reengineering, enterprise systems, and electronic business. Tom has written, co-authored, or edited 23 books, including the first books on business analytics, enterprise AI, business process reengineering, knowledge management, attention management, and enterprise systems. He recently published “Working with AI,” and “Advanced Introduction to AI in Healthcare.” And just published “All in on AI: How smart companies win big with artificial intelligence” He has written over 300 articles for such publications as Harvard Business Review, Sloan Management Review, California Management Review, the Financial Times, and many other publications, and has been a columnist for the Wall Street Journal, Forbes, Information Week, and CIO. He has been named one of the world's top 25 consultants by Consulting magazine, one of the 100 most influential people in the IT industry by Ziff-Davis magazines, and one of the top 50 business school professors by Fortune magazine. In this podcast, he shares:Operational transformation to maximize the use of AINew products and services made capable by AIUsing AI to change customer behavior 5 levels of analytics organization _________________________________________________________________________________________Episode Timeline:00:00—Highlight from today's episode1:17—Introducing Tom + The topic of today's episode3:25—If you really know me, you know that...4:59—What is your definition of strategy?6:00—How does competitive advantage change with the adoption and evolution of AI?7:13—What are the different ways in which companies are thinking about using AI?10:15—Could you elaborate on the idea that you don't have to be a digital-first company to be an AI-fueled one?11:17—What advice do you have for overcoming barriers to implementing AI?13:04—Do you have any lessons form companies that were able to make a successful cultural shift to AI?15:11—Could you talk about the different levels of tech or data maturity that companies fit into?18:10—Where do the teams that work on AI sit within a company?19:33—Is there a particular model or framework that you found particularly helpful that you'd like to share with us?21:26—How can people learn from you and connect with you?__________________________________________________________________________________________Additional Resources: Personal Page: https://www.tomdavenport.com/Linkedin: https://www.linkedin.com/in/davenporttomTwitter: https://twitter.com/tdav

In this Real Estate News Brief for the week ending January 21st, 2023... why mortgage rates are looking more attractive, the new office space investing opportunity, and a new home design trend called “Barkitecture” that makes pets a priority.    Hi, I'm Kathy Fettke and this is Real Estate News for Investors. If you like our podcast, please subscribe and leave us a review.   Economic News   We begin with economic news from this past week and more evidence that prices are coming back down to earth. The government reports that wholesale prices were .5% lower in December. It was the biggest drop in the Producer Price Index since April of 2020 when the economy shut down because of Covid. The monthly decline brings the annual rate of wholesale price inflation down from 7.2% to 6.2%. (1)   The Federal Reserve will be analyzing the latest reports on inflation ahead of a rate hike decision on February 1st. The Federal Funds rate is currently within the range of 4.25 and 4.50%. Now that inflation is receding, several Fed officials have spoken out, saying they are still determined to “stay the course” but are considering a smaller quarter-point rate hike. They will also have access to the latest report on the Personal Consumption Expenditure index, or PCE, right before that meeting, which could help sway their opinion. The PCE is their preferred inflation gauge because it goes beyond household expenses and accounts for changes in consumer behavior as prices rise. (2)   Although several big tech companies are announcing layoffs, jobless claims remain low. The Labor Department reports just 190,000 initial applications for unemployment last week. That's down from 205,000 the week before. (3) It indicates that the job market is still strong, but then newly announced layoffs won't be reflected in the unemployment numbers just yet. Among the companies announcing a substantial number of layoffs  are Google parent Alphabet, Amazon, Carvana, Coinbase, Lyft, Facebook parent Meta, Microsoft, Robinhood, Salesforce, Snapchat parent Snap, payment processor Stripe, Twitter and Wayfair. (4)   In the latest housing market news, housing starts were a mixed bag for residential construction. The Commerce Department reports that, overall, housing starts fell a seasonally adjusted 1.4% to 1.38 million. That includes an 18.9% decline in multi-family starts and an 11.3% increase in single-family starts. The Northeast has the biggest surge in single-family starts at 96.9%! When it comes to permits, they were down 6.5% for single-family homes and up 7.1% for multi-families. (5)   Builders are feeling more confident about the housing market. The National Association of Home Builders says the monthly builder confidence index was up four points in January to 35. That's far lower than it was a year ago, at 83, but the NAHB says that builders are seeing a “light at the end of the tunnel” as mortgage rates recede and demand increases. NAHB chairman, Jerry Konter says: “The rise in builder sentiment means that cycle lows for permits and starts are likely near, and a rebound for home building could be underway later in 2023.” (6)   Existing home sales continue on a downward trend. The National Association of Realtors reports a 1.5% drop to a seasonally adjusted annual rate of 4.02 million homes in December. It's the 11th month of declining sales and the lowest level of sales activity since November of 2010. Year-over-year, existing home sales are down 34%. High home prices and mortgage rates have scared a lot of buyers away, but there's also a huge lack of inventory, in part, because potential buyers are postponing their plans to sell. (7)    Mortgage Rates   Mortgage rates are declining and getting closer to the 6% level. In the last week, Freddie Mac says the average 30-year fixed-rate mortgage was down 18 basis points to 6.15%. The 15-year was down 24 points to 5.28%. Freddie says: “Declining rates are providing a much-needed boost to the housing market, but the supply of homes remains a persistent concern.” (8)   Some builders are also providing a bigger incentive with mortgage rates as low as 3%. They prefer to pay points to lower a customer's mortgage rate than lower the price of the home, because that could impact the value of other homes that are already sold. (9)   In other news making headlines…   Bargain Hunters Buying Office Space   Office space is on sale right now, and some brave investors are pouncing on the opportunity. Bisnow reports that investors are getting creative about what they'll do with this office space. While some believe the office market will return, others are buying up high-quality properties at firesale prices with plans to convert them into something else.  like apartments or condos or something other than office space. (10)   Tom Davenport of Colliers says: “There are a lot of small investment funds that have been waiting for this day.”   New Home Design Trend: “Barkitecture”   Pets are becoming a top priority when it comes to home design. Realtor.com reports on a new architectural trend called “Barkitecture” that includes pet-friendly features like a securely fenced yard with a dog run or something called a “catio.” Other popular features include a dog wash station in the mudroom, built-in food and watering stations, a pet playroom or “lounge,” and custom-made furniture to accommodate both humans and pets. (11)   Realtor.com did a survey in 2020 on the importance of pet features in homes. 43% of the participants said they'd be willing to move for a home that was more accommodating to their pets.   That's it for today. Check the show notes for links and remember to hit the subscribe button, and leave a review! You can also become a member of RealWealth at newsforinvestors.com. Membership is free and gives you additional access to our own real estate investing data. There's no obligation and never any pressure. We are happy to answer questions and help you invest, if and when you are ready!   Thanks for listening. I'm Kathy Fettke.   Links:   1 - https://www.marketwatch.com/story/wholesale-prices-drop-at-end-of-2022-in-another-sign-of-slowing-inflation-11674049079?mod=economic-report   2 - https://www.nytimes.com/2023/01/20/business/economy/fed-rates-williams.html   3 - https://www.marketwatch.com/story/jobless-claims-fall-to-four-month-low-of-190-000-11674135327?mod=economic-report   4 - https://www.cbsnews.com/news/tech-layoffs-sector-google-recession-2022-01-20/   5 - https://www.marketwatch.com/story/u-s-housing-starts-fell-in-2022-as-the-nation-builds-fewer-homes-11674136334?mod=economic-report   6 - https://www.marketwatch.com/story/u-s-builder-confidence-bounces-back-breaking-a-12-month-losing-streak-11674054281?mod=economic-report   7 - https://www.marketwatch.com/story/u-s-existing-home-sales-fall-for-the-eleventh-straight-month-in-december-11674227078?mod=economic-report   8 - https://www.freddiemac.com/pmms   9 - https://www.marketwatch.com/story/some-home-builders-are-offering-mortgage-rates-as-low-as-3-heres-how-and-why-theyre-doing-it-11674145343?mod=ANLink   10 - https://www.bisnow.com/atlanta/news/capital-markets/office-buyers-contrarian-investing-117231   11 -  ​​https://www.nar.realtor/magazine/real-estate-news/home-and-design/barkitecture-makes-your-pets-the-king-of-the-castle

Knowledge management, trust of AI, and job automation: Tom Davenport speaks with Jon Krohn about the organizational obstacles to adopting AI, and why the C-suite also needs to learn how to handle data. This episode is brought to you by Kolena (https://kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • Cognitive bias in understanding AI [14:13] • How AI will augment rather than replace human workers [24:27] • OpenAI and regulatory action [35:13] • Jobs that might be at risk of being automated [39:57] • The potential of citizen science in accumulating and analyzing data [1:02:18] • How AI will change the game for the C-suite [1:15:17] Additional materials: www.superdatascience.com/647

Tom Davenport, Professor of Information Technology and Management at Babson College, discusses his book All in on AI: How Smart Companies Win Big with Artificial Intelligence. Hosts: Carol Massar and Tim Stenovec. Producer: Paul Brennan. See omnystudio.com/listener for privacy information.

In this episode we talked to Tom Davenport and Laks Srinivasan from Return on AI Institute (ROAI) about how AI is empowering and challenging organizational models worldwide, and how the platform business model is often based on AI capabilities in the background.  Tom is a world-renowned thought leader and author on AI. He is the President's Distinguished Professor of Information Technology and Management at Babson College, as well as a fellow at the MIT Initiative on the Digital Economy, a visiting professor at Oxford's Saïd Business School, and is the Chairman of ROAI. Laks is a data and analytics executive with more than 15 years of experience in management, entrepreneurship, and innovation roles to help clients create measurable value from AI. He is a co-founder and Managing Director at ROAI and former CEO of Opera Solutions (ElectrifAI now), an applied AI solutions company with 500+ employees globally as well as the winner of the Netflix Prize and several Kaggle AI competitions. Tom and Laks explore with us how different forms of artificial intelligence might transform product teams at companies around the globe. In the second part of this episode, Tom and Laks offer concrete examples of companies that have created new business models powered by AI, as well as suggestions on what traditional organizations should look at when preparing to adopt artificial intelligence. At Boundaryless we're partnering with ROAI to explore the convergence between AI and Platforms, check out our research and services here: https://blss.io/ROAI Key highlights

Tom Davenport, Professor of Information Technology and Management at Babson College, discusses his book All in on AI: How Smart Companies Win Big with Artificial Intelligence. Hosts: Carol Massar and Tim Stenovec. Producer: Paul Brennan. See omnystudio.com/listener for privacy information.

Everywhere you look, change is redefining the data landscape. From the rise of the analytics engineer to data leaders clamoring to make self service analytics real, it's clear organizations are looking for new opportunities to put their data to work.But which changes matter?  In this episode, we break down some of the data and analytics trends for 2023 that will help you identify key ways to rise above your competitors. Tom Davenport is back for another episode and this time he's here to talk about AI and the relationship that the workforce should start building with it. Tony Baer weighs in on the great data framework debate. And Sonny Rivera points out the need for better education in the analytics industry, particularly when it comes to data modeling techniques. Tune in to learn:The biggest surprise in the survey findings around the role of the CDO (03:13)Data governance or data enablement? (05:14)CDO's making a play for CEO in 2023 and beyond (07:27)Legacy companies and AI adoption (08:30)2023 prediction from Tom (13:50)Could we have predicted that data mesh would be such a hot topic in 2022?  (23:45)Tony's prediction for data mesh, data lakes, data warehouse, data fabric? (30:28)Tony's prediction and hopes for CDOs in 2023 (35:00)ThoughtSpot's new evangelist, Sonny Rivera (35:55)Sonny's work in the DBT community (41:30)Sonny's prediction for the analytics engineer in 2023 (44:10)The need for more modeling education in analytics boot camps (45:02)What should your 2023 resolution be as an analytics engineer? (48:06)Mentions:CDO Agenda 2023: Prioritizing business value creationTom Davenport BooksZhamak Deghani on The Data Chief Tony's reaction to an article article about the best Data Mesh9 data and analytics trends for 2023 - eBookGet even more insights from data and analytics leaders like Tom, Tony, and Sonny on The Data Chief. 

Today I'm chatting with returning guest Tom Davenport, who is a Distinguished Professor at Babson College, a Visiting Professor at Oxford, a Research Fellow at MIT, and a Senior Advisor to Deloitte's AI practice. He is also the author of three new books (!) on AI and in this episode, we're discussing the role of product orientation in enterprise data science teams, the skills required, what he's seeing in the wild in terms of teams adopting this approach, and the value it can create. Back in episode 26, Tom was a guest on my show and he gave the data science/analytics industry an approximate “2 out of 10” rating in terms of its ability to generate value with data. So, naturally, I asked him for an update on that rating, and he kindly obliged. How are you all doing? Listen in to find out! Highlights / Skip to: Tom provides an updated rating (between 1-10) as to how well he thinks data science and analytics teams are doing these days at creating economic value (00:44) Why Tom believes that “motivation is not enough for data science work” (03:06) Tom provides his definition of what data products are and some opinions on other industry definitions (04:22) How Tom views the rise of taking a product approach to data roles and why data products must be tied to value (07:55) Tom explains why he feels top down executive support is needed to drive a product orientation (11:51) Brian and Tom discuss how they feel companies should prioritize true data products versus more informal AI efforts (16:26) The trends Tom sees in the companies and teams that are implementing a data product orientation (19:18) Brian and Tom discuss the models they typically see for data teams and their key components (23:18) Tom explains the value and necessity of data product management (34:49) Tom describes his three new books (39:00) Quotes from Today's Episode “Data science in general, I think has been focused heavily on motivation to fit lines and curves to data points, and that particular motivation certainly isn't enough in that even if you create a good model that fits the data, it doesn't mean at all that is going to produce any economic value.” – Tom Davenport  (03:05) “If data scientists don't worry about deployment, then they're not going to be in their jobs for terribly long because they're not providing any value to their organizations.” – Tom Davenport (13:25) “Product also means you got to market this thing if it's going to be successful. You just can't assume because it's a brilliant algorithm with capturing a lot of area under the curve that it's somehow going to be great for your company.” – Tom Davenport (19:04)   “[PM is] a hard thing, even for people in non-technical roles, because product management has always been a sort of ‘minister without portfolio' sort of job, and you know, influence without formal authority, where you are responsible for a lot of things happening, but the people don't report to you, generally.” – Tom Davenport (22:03)   “This collaboration between a human being making a decision and an AI system that might in some cases come up with a different decision but can't explain itself, that's a really tough thing to do [well].” – Tom Davenport (28:04) “This idea that we're going to use externally-sourced systems for ML is not likely to succeed in many cases because, you know, those vendors didn't work closely with everybody in your organization” – Tom Davenport (30:21)   “I think it's unlikely that [organizational gaps] are going to be successfully addressed by merging everybody together in one organization. I think that's what product managers do is they try to address those gaps in the organization and develop a process that makes coordination at least possible, if not true, all the time.” – Tom Davenport (36:49) Links Tom's LinkedIn: https://www.linkedin.com/in/davenporttom/ Tom's Twitter: https://twitter.com/tdav All-in On AI by Thomas Davenport & Nitin Mittal, 2023 Working With AI by Thomas Davenport & Stephen Miller, 2022 Advanced Introduction to AI in Healthcare by Thomas Davenport, John Glaser, & Elizabeth Gardner, 2022 Competing On Analytics by Thomas Davenport & Jeanne G. Harris, 2007

Tom Davenport is a Distinguished Professor of Information Technology and Management at Babson College, Visiting Professor at Oxford Business School, Fellow of the MIT Digital Economy Initiative, and Senior Advisor to Deloitte's AI practice. He has published 23 books and over 300 articles for Harvard Business Review and many other publications. He has been named one of the world's Top 25 Consultants, one of the top 3 business/technology analysts, one of the 100 most influential people in the IT industry, and one of the top fifty business school professors in the world. He's worked with many of the world's leading companies on data, analytics, and AI strategies, organizational structures, and deployment processes.

AI is reshaping the future of business, and cloud is helping make that future more affordable. The result will be greater automation, the ability to focus more on strategy, and a reimagining of how business is done.

Tom Davenport, an AI/machine learning expert who also happens to be my first cousin once removed (yes, I said it), discussed what AI is, how feds might leverage it. If you feel like you *should* already understand AI but you don't, this is a great place to start. Tom  is a world-renowned thought leader and author, is the President's Distinguished Professor of Information Technology and Management at Babson College, a Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics. Tom's written TONS of articles and books on this topic, and you can find his latest here: https://www.amazon.com/Advantage-Artificial-Intelligence-Revolution-Management/dp/0262039176 https://www.tomdavenport.com/ And you can find him on LinkedIn here: https://www.linkedin.com/in/davenporttom/

How will AI change our jobs? Will it replace humans and eliminate jobs? Will it help humans get things done? Will it create new opportunities for new jobs? People often speculate on these topics, doing their best to predict the somewhat unpredictable.To help us get a better understanding of the current state of humans and AI working together, we talked with Tom Davenport and Steve Miller about their recently-released book, Working with AI. The book is centered around 29 detailed and deeply-researched case studies about human-AI collaboration in real-world work settings. What they show is that AI isn't a job destroyer but a technology that changes the way we work.Tom is Distinguished Professor of Information Technology and Management at Babson College, Visiting Professor at Oxford's Saïd Business School, Fellow of the MIT Initiative on the Digital Economy, and Senior Advisor to Deloitte's AI practice. He is the author of The AI Advantage and coauthor of Only Humans Need Apply and other books.Steve is Professor Emeritus of Information Systems at Singapore Management University, where he previously served as Founding Dean of the School of Computing and Information Systems and Vice Provost for Research. He is coauthor of Robotics Applications and Social Implications.If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world's great minds.Learn about our book Make Better Decisions and buy it on AmazonSubscribe to get Artificiality delivered to your emailLearn more about Sonder StudioThanks to Jonathan Coulton for our music This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit artificiality.substack.com

**Let us know what you think and fill out the form https://bit.ly/3MNtPzl, or email podcast@measurelab.co.uk to drop Dan and Dara a message directly.** --- Quote of the episode from Jim: "in 2002 we were overwhelmed with data because we had not heard the words 'big data' yet" Quote of the episode from Dan: "finally, there's someone that's willingly and able to listen to you and understand it" Quote of the episode from Dara: "GA4 as a kind of evolution of GA, maybe with a bit of privacy sprinkled on top, maybe not" --- This week Dan and Dara chat with Jim Sterne and chat about his long and illustrious career in digital. They talk about how the Digital Analytics Association was formed off the back of the Marketing Analytics Summit meetups, how he's managed to publish 12 books, and what exaclt an analytics cohort is exactly. Be sure to listen to the end to find out why Jim is a "goofy footer from the days of steel wheels", and what theat even means! There's loads of links for this episode, so if in doubt, just head to Jim's website and everything is linked from there - https://bit.ly/3SI2nGH. - Analytics Cohorts - https://bit.ly/3C1ipWh. - Data Driven Leaders Studio - https://bit.ly/3S7RZYz. - (Book) Artificial Intelligence for Marketing: Practical Applications - https://bit.ly/3Rayuxk. - (Book) The Devil's Data Dictionary - https://bit.ly/3xK7WfF. - (Video) The Day Our Privacy Died - https://bit.ly/3dybjiI (A MUST WATCH!!!). Marketign Analytics Summit - https://bit.ly/3BX540j. The Digital Analytics Association - https://bit.ly/3f0OaWu. - DAA compensation survey 2022 - https://bit.ly/3C2jeOL. - DAA Competency Framework - https://bit.ly/3UxCF9d. - DAA OneConference - https://bit.ly/3LyJGTj. Jim mentioned a great article from Tom Davenport called "Data Scientist: The Sexiest Job of the 21st Century" - https://bit.ly/3dy9kuO. In other news, Dan becomes a skateboard coach, Dara goes to Belfast and Jim writes some birthday poetry! Follow Measurelab on LinkedIn - https://bit.ly/3Ka513y. Intro music composed by the amazing Confidential - https://spoti.fi/3JnEdg6. If you're like what we're doing here, please show some support and leave a rating on Apple, Spotify, or wherever really. The post #53 A conversation with the one and only Jim Sterne (with Jim Sterne @ Target Marketing) appeared first on Measurelab.

Organizational Change Catching up with the Pace of Technology Change . In their upcoming book, Working with AI: Real Stories of Human-Machine Collaboration, due to be released in September 2022, Tom Davenport and Steve Miller, renowned professors and experts in AI, data science, machine learning and information systems, reveal their findings from an in-depth analysis of 29 real-life human-machine collaboration case studies. Host Brad Hairston talks with Tom and Steve about some of the big takeaways from the book and the implications of AI adoption on the workforce and economies across the globe. . Here's what we talked with Tom and Steve about: * How companies (in general) are doing in their effort to scale their AI capabilities * Learnings from the 29 real-life worker-AI collaboration case studies featured in the book, Working with AI: Real Stories of Human-Machine Collaboration, * The reality around technology replacing human labor en masse in the near future * The pace and scope of organizational changes being driven by AI * “Augmentation” versus “Automation” * How AI is driving workforce re-skilling/up-skilling * The importance of employment and labor market issues when considering the impact of AI Link to article about the book discussed in this podcast: https://thegradient.pub/artificial-intelligence-and-work-two-perspectives/ To ensure that you never miss an episode of Transform NOW, be sure to subscribe!

In this episode, Seth and Chris talk with Tom Davenport, author of The AI Advantage How to put the artificial intelligence revolution to work.4:40 On getting started in this space7:47  What is most important today for organizations that are trying to operationalize AI 16:05 How organizations are doing in the human collaboration space and knowledge space21:26  What is slowing organizations down…is it infrastructure or understanding? 31:40 Do organizations need to get ahead of the curve for augmented reality34:12 Tom's take on Gartner's prediction on Knowledge Management for AI…the largest growing segment and the largest spend 40:08  Customer experience and personalization…are you seeing organizations doing that effectively? 46:56 Democratization of AI 50:30 What is in store for 2022Links:The AI Advantage Only Humans Need ApplyTomDavenport.comThanks to our sponsors:Marketing AI InstituteCMSWireEarley Information ScienceAI Powered Enterprise Book

It was a pleasure to have Tom Davenport, AI Author & Independent Senior Advisor for Deloitte Analytics, on the Stories in AI podcast. It was unbelievably fascinating to talk to him about how businesses are implementing AI into their systems, how to lead AI-driven transformations, and the best way to get returns on your AI investments. Tom's Bio: Tom Davenport is a world-renowned thought leader and author, is the President's Distinguished Professor of Information Technology and Management at Babson College, a Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics. An author and co-author of 20 books and more than 200 articles, he helps organizations to transform their management practices in digital business domains such as artificial intelligence, analytics, information and knowledge management, process management, and enterprise systems. Find more: https://www.linkedin.com/in/davenporttom/ and at https://www.tomdavenport.com A note about our sponsors: Experian is the world's leading global information services company. We empower our clients to manage their data with confidence and build trusted relationships with consumers, using advanced analytics, decisioning technology and fraud prevention tools. We help businesses to make smarter decisions and thrive, lend more responsibly, and prevent fraud and financial crime. As the world's leading repository of consumer credit data, Experian is transforming data into solutions that facilitate transactions, ensure financial safety and improve the financial lives of millions of consumers around the world. Learn more at https://Experian.com.

When we talk about analytics and AI-driven organisations, we often think of the likes of Google, Amazon, Facebook, Netflix and Tencent, which have all risen to dominance during the internet era. But what about companies that have been around for much longer, can they achieve the same results with their data? To answer this question, I recently spoke to Tom Davenport who is one of the world's foremost thought leaders and authors in the areas of business, analytics, data science and AI. He is the President's Distinguished Professor of Information Technology and Management at Babson College, a Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics. He has authored more than 20 books and hundreds of articles on topics such as artificial intelligence, analytics, information and knowledge management, process management, and enterprise systems. He is a regular contributor to Harvard Business Review, Forbes Magazine, The Wall Street Journal and many other publications around the world. In this episode, Tom gives us a history lesson of data and analytics and provides an in-depth description of what it takes for traditional companies to ascend through what he calls the “Four Eras of Analytics”.

When we talk about analytics and AI-driven organisations, we often think of the likes of Google, Amazon, Facebook, Netflix and Tencent, which have all risen to dominance during the internet era. But what about companies that have been around for much longer, can they achieve the same results with their data? To answer this question, I recently spoke to Tom Davenport who is one of the world's foremost thought leaders and authors in the areas of business, analytics, data science and AI. He is the President's Distinguished Professor of Information Technology and Management at Babson College, a Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics. He has authored more than 20 books and hundreds of articles on topics such as artificial intelligence, analytics, information and knowledge management, process management, and enterprise systems. He is a regular contributor to Harvard Business Review, Forbes Magazine, The Wall Street Journal and many other publications around the world. In this episode, Tom gives us a history lesson of data and analytics and provides an in-depth description of what it takes for traditional companies to ascend through what he calls the “Four Eras of Analytics”.

Today's entrepreneurs are growing their operations and looking for tech help, automation information, and innovation in the apparel and fashion industries. Brett Bowden and Tom Davenport have made commitments outside their day-to-day businesses conceiving, promoting, and running education-oriented activities, including their latest venture MADELab. In the midst of a continuously changing industry, instead of abandoning it for greener pastures, MADElab has stuck with screen printing, continuing to embrace the process in production, and creating hands-on opportunities for learning and experimenting as screen printing morphs once again into new areas.

An interview with internationally recognized thought leader and best selling author Tom Davenport #datascience #analytics #leadership #machinelearning #ai #artificialintelligence

The buzz surrounding A.I. cognitive strategy, technology, data, and analytics has many companies excited, but what does a business do with the information available? In his book, The A.I. Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. Tom and Greg discuss how companies can leverage available technologies for their competitive advantage. Check out their discussion on IBM's Watson's attempts to cure cancer, and learn how legacy companies integrate AI despite layers of approval and current processes.You won't want to miss Tom's backstory, as he shares his journey from being a sociologist to an analyst. Finally, make sure to take notes on his views on A.I. ethics, including how to set up systems with human decision-makers and how academics can improve courses with A.I. tools, data, and analytics.Episode Quotes:Which is easier, teaching business skills to technical people or technical skills to business people?I don't think that either of them is particularly hard to teach. If the motivation is there, I think that's the key element. You run across many data scientists who couldn't care less about what business they're working in. What motivates them is fooling around with algorithms and finding the best fitting one, and so on. But, most of those algorithms are not going to get deployed successfully. Certainly, you have way too many business people who don't want to learn enough about technology. Now. I think every business succeeds based on its use of technology. Neither of them is that hard to learn. You gotta want it.”How do you get the best data, and how do you make the most out of it?When I first got into this consulting firm, there was a strong focus on using data to make decisions. But in general, it became a very technical field, and people were only worried about what type of data warehouse to use and what software to use. And there was very little about what difference it made to the business. I think in general, and we're finding this a lot in AI and analytics, it's the people who can connect the numbers to the business —the analytics outcomes that are driving the success.Is there a way that business schools can reinvent themselves in terms of using data in their business model like admissions and curriculum?I have a book that I recently got called Big Data on Campus. Full of examples of schools that are starting to use analytics for things like admissions and fundraising. It works well for keeping students from leaving and identifying potential traders. Educationally, I think we probably need a new business model in business schools and maybe in general. Universities have gotten way too expensive for many people. And this idea that you learn everything you need to know in four years and then never have to go back to school is totally nutty.Show LinksGuest ProfileTom's Official WebsiteTom Davenport's Profile at DeloitteTom Davenport on LinkedInTom Davenport on TwitterHis WorkThe AI Advantage: How to Put the Artificial Intelligence Revolution to Work Only Humans Need Apply: Winners and Losers in the Age of Smart MachinesAnalytics and Big Data: The Davenport CollectionBig Data at Work: Dispelling the Myths, Uncovering the OpportunitiesKeeping Up with the Quants: Your Guide to Understanding and Using AnalyticsJudgment Calls: Twelve Stories of Big Decisions and the Teams That Got Them RightAnalytics at Work: Smarter Decisions, Better ResultsCompeting on Analytics: Updated, with a New Introduction: The New Science of WinningThinking for a Living: How to Get Better Performances And Results from Knowledge WorkersInformation Ecology: Mastering the Information and Knowledge Environment

Welcome to the Agency Founder Podcast by Moonshine Marketing. Every single week, we interview successful founders of marketing agencies at different points in their journey to pass on their victories, defeats, challenges and lessons learned to help you take your agency to new heights. This week, we're speaking with Tom Davenport of Digital Marketing Specialist, a worldwide funnel focused agency that works with major Hollywood studios, major recording artists and e-commerce stores.