Podcasts about Generative

Our expert host, Benjamin Ensor, is joined by some great guests to talk about the most notable fintech, financial services and banking news from the past week. This week's guests include: Collin Galster, Head of International at Nova Credit Shaun Puckrin, VP of Product at Checkout.com Amelia Isaacs, Senior Reporter at AltFi We cover the following stories from the fintech and financial services space: HSBC and Nova Credit offer international credit history checks to UK immigrants (https://www.novacredit.com/corporate-blog/hsbc-uk-partners-with-nova-credit-to-become-first-uk-bank-to-offer-newcomers) Mercedes-Benz and Mastercard roll out in-car payments (https://www.fintechfutures.com/2023/09/mercedes-benz-drives-in-car-fuel-payments-through-new-mastercard-partnership/) Standard Life and Moneyhub launch a pensions dashboard (https://www.altfi.com/article/standard-life-and-moneyhub-to-launch-commercial-pensions-dashboard) Checkout.com launch their own network tokens (https://www.checkout.com/products/network-tokens) JP Morgan Chase ban crypto payments (https://www.reuters.com/technology/jpmorgans-uk-bank-chase-ban-crypto-transactions-2023-09-26/) Fujitsu trial Gen-AI in Japanese banks (https://www.finextra.com/newsarticle/43006/fujitsu-trials-gen-ai-for-japanese-banks?utm_medium=dailynewsletter&utm_source=2023-9-25&member=157701) Swift and Wise team up (https://thepaypers.com/payments-general/swift-partners-with-wise#) A hapless lorry driver disguises £70,000 of criminal cash as a sandwich (https://www.essex.police.uk/news/essex/news/news/2023/september/money-hidden-as-sandwiches/#:~:text=RET%20officers%20arrested%20the%20driver,size%20of%20packets%20of%20sandwiches) Fintech Insider by 11:FS is a bi-weekly podcast dedicated to all things finance, banking, technology, and financial services. Our expert hosts, with real industry experience, are joined by the biggest decision-makers, VCs, and reporters from across financial services including guests from Visa, Nubank, M-Pesa, Techcrunch, Starling, and JP Morgan Chase to discuss the latest news, developments, and trends within the industry. Our weekly news show drops every Monday and tackles the biggest news stories, from acquisitions and launches, to regulatory changes and innovation. Then, every Friday our Insights show dives deeper into the hottest topics shaping the industry like web3 and BNPL. Whether you're already immersed in the world of financial services, or just keen to learn more, this is the #1 podcast for you. If you enjoyed this episode, don't forget to subscribe and please leave a review Follow us on Twitter: @fintechinsiders where you can ask the hosts questions, or email podcasts@11fs.com! Special Guests: Amelia Isaacs, Collin Galster, and Shaun Puckrin.

Ready to start your transition into industry? Apply to book a free Transition Call with our founder, Isaiah Hankel, PhD or one of our Transition Specialists here. The post Using Generative AI To Get Hired, 6 Trending Resumes & 7 Of The Toughest Interview Questions appeared first on Cheeky Scientist.

Today's episode marks the return of our ‘AI Futures' series, where we explore what AI means for the future of our society and species with a more academic caliber of guests. Today's guest is Mark Surman, President and Executive Director of the Mozilla Foundation. Mark joins Emerj CEO and Head of Research Dan Faggella on the program to talk about lessons learned from the birth of the internet and how these lessons might translate to deeper insights about our current transition into the age of AI. 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!

Women attorneys are intelligent and brave, but they still face particular challenges in the legal profession. Jared chats with Rachel Clar of Interconnected Us about her mission to create safe environments for women in law to get the support they need to grow their influence and flourish in legal practice. Later, in perhaps the most uniquely named Rump Roast game yet, Jared and Rachel play “Town in Upstate NY, Town in Rural Alabama, or Discontinued Household Cleaner?” And, yeah—the name is pretty self-explanatory. And, we know you're sick of hearing about AI, but Jared still has a few things that need to be said. First, don't be a moron and believe everything AI tells you, and second, *do* save yourself time by using AI for contracts, emails, and generating workflows. Rachel Clar is founder and CEO at Interconnected Us. ----- We talked about how law firms can use generative AI tools right now, so here's a playlist about AI, designed by AI. Hey, we had a nice run. ----- Our opening track is Two Cigarettes by Major Label Interest. Our closing track is Night Whispers by Dr. Delight.

Women attorneys are intelligent and brave, but they still face particular challenges in the legal profession. Jared chats with Rachel Clar of Interconnected Us about her mission to create safe environments for women in law to get the support they need to grow their influence and flourish in legal practice. Later, in perhaps the most uniquely named Rump Roast game yet, Jared and Rachel play “Town in Upstate NY, Town in Rural Alabama, or Discontinued Household Cleaner?” And, yeah—the name is pretty self-explanatory. And, we know you're sick of hearing about AI, but Jared still has a few things that need to be said. First, don't be a moron and believe everything AI tells you, and second, *do* save yourself time by using AI for contracts, emails, and generating workflows. Rachel Clar is founder and CEO at Interconnected Us. ----- We talked about how law firms can use generative AI tools right now, so here's a playlist about AI, designed by AI. Hey, we had a nice run. ----- Our opening track is Two Cigarettes by Major Label Interest. Our closing track is Night Whispers by Dr. Delight.

Takeaways:This is just scratching the surface of generative AI and data mesh - we will have much deeper discussions in future episodes.Zhamak believes generative AI has a ton of positive real world potential, especially in data mesh. Scott is more skeptical. But if things like GenAI are only able to be leveraged by a few large companies trying to collect as much information - especially sensitive information - as possible, there are some big potential societal issues that might come from that. We need to democratize the ability to leverage these types of tools.ChatGPT set off a frenzy. It can be easy to want to move incredibly fast towards implementing generative AI. But companies don't have the vast amount of data where they can throw moderate - or worse - quality data and get something useful out. Garbage in, garbage out is a real concern.Because they have less data than essentially the sum of the internet like OpenAI used for ChatGPT, companies need to focus on providing quality data into an LLM (large language model) in order for it to actually provide good results. Again, otherwise it is garbage in, garbage out.Sponsored by NextData, Zhamak's company that is helping ease data product creation.For more great content from Zhamak, check out her book on data mesh, a book she collaborated on, her LinkedIn, and her Twitter. Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereData Mesh Radio episode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music,...

Microsoft Advertising Announces New Ads in Bing Chat & More Generative AI Features This week on Marketing O'Clock, should we call it Microsoft Chatvertising? Microsoft announces new ads in Bing Chat and other AI features. Plus, more reactions to Google's auction tinkering, Google results are making a cameo in TikTok search pages, and an ex-Googler is causing ConTRoversy, saying that clicks DO impact rankings. Shake the cushions MOC merch - http://shop.marketingoclock.com/ Visit us at - https://marketingoclock.com/ Join our Discord Community - http://community.marketingoclock.com/ Join Marketing O'Pick'em (NFL picks) - https://www.runyourpool.com/p/j/fb9b6d706ebf46cc931ea45ab3668e47 -------------------------------------------------------------------------------------------------------------------------------------------- Intro - 00:00

In this episode of the Infrastructure Matters podcast, hosts Steven Dickens and Krista Macomber discuss common themes discussed during recent visits with clients in the data protection marketplace – notably, generative artificial intelligence (AI), and protection of cloud-hosted, software-as-a-service (SaaS) applications. This includes the utilization of AI to streamline the application and oversight of protection policies, to uncover security vulnerabilities, and to democratize conversations around security between IT Operations teams and the C-Suite. They also touch on Tesla as a use case for utilizing AI for business model innovation, and the market-wide implications of the most recent financial performance from Oracle's cloud business unit. Topics include:  HYCU's new book launch – Averting the SaaS Data Apocalypse – and the general state of the market for protecting SaaS applications. The implications of generative AI for data protection solutions. Tesla's Dojo Supercomputer and how the company is capturing the wave of interest in, and demand for, AI. Oracle's overall and cloud business unit earnings.

S2E3: Host Avantika Sharma invites Brillio's Global CTO, Dr. Chander Damodaran and Healthcare Technology and Life Sciences leader, Hanna Aljaliss. They discuss embracing Generative AI in healthcare. How will this evolve and should companies have a perspective to use hyperscalers or their own open source Large language models (LLM)? What are the use cases being explored in healthcare with AI? Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

The Special Competitive Studies Project, which has continued the work of the now dissolved National Security Commission on AI, issued its latest report this week on generative AI and its impact on the global competitive landscape. That report states, among other things, that recent advancements in AI come as transformations in geopolitical structuring resemble that of the days leading up to World War I. And because of that, “This moment provides the United States government with a unique opportunity to lead with conviction as humanity enters a new era.“ Ylli Bajraktari is the CEO and President of the Special Competitive Studies Project, and he joins The Daily Scoop Podcast to discuss the major takeaways from SCSP's new report and the stakes at play for the U.S. as it looks to embrace AI for defense, national security and more. The Daily Scoop Podcast is available every Tuesday and Thursday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast on Apple Podcasts, Google Podcasts, and Spotify

By now, most of us have dabbled with ChatGPT or another generative AI, but what can it do to help improve our daily work and businesses? James Korte joins the guys for an episode recorded live at VARTECH 2023 with an audience that had plenty of thoughts. We recap the marketing uses, James updates us on what the image generators can do, and we look at a list of other ways you can deploy this technology. Finally, we compare and contrast ChatGPT, Bard, Bing Chat, LlaMA, and Claude.   Slides shown during the presentation: https://docs.google.com/presentation/d/1HSGKZW2Zi-RxjaCzq_2bsObZUP6JsF9M/edit?usp=sharing&ouid=100394876516957773492&rtpof=true&sd=true   TEConnecting with us: Dean - Star Wars X-Wing model up for auction   Talk to us! X/Twitter - @TEConnectPod Email - TEConnect@bluestarinc.com Submit your topic ideas - https://www.bluestarinc.com/us-en/landing-pages/podcast-topics.html Follow BlueStar on LinkedIn - https://www.linkedin.com/company/blue-star/ Subscribe to the BlueStar Nation Newsletter - https://nation.bluestarinc.com/#subscribe    Sponsored by: Zebra Refresh the Base Elo M50

Artificial Intelligence and its applications are increasing every day. How do you manage AI? Especially, generative AI. Can there be an inclusive approach? Let us delve into topics like this in conversation between Cari Miller and Punit Bhatia as part of this episode of The FIT4Privacy Podcast.    KEY CONVERSATION POINTS  Where is privacy headed in world of generative AI?  How would start ups navigate the framework of laws?  Can procurement help play protect privacy in AI world?  Steps in governing privacy    ABOUT THE GUEST  Dr. Cari Miller is the Principal and Lead Researcher for the Center for Inclusive Change.  She is a subject matter expert in AI risk management and governance practices, an experienced corporate strategist, and a certified change manager. Dr. Miller creates and delivers AI literacy training, AI procurement guidance, AI policy coaching, and AI audit and assessment advisory services.  She has worked with some of the largest brands in the world to successfully plan and implement complex business model shifts, system implementations, data science projects, process overhauls, product launches, organizational design and compensation alignments, and cultural improvement initiatives positively impacting thousands of employees, clients, supply-chain partners, and shareholders. Dr. Miller serves on the Board of ForHumanity, a non-profit developing AI audit criteria for high-risk systems and is the Vice Chair of the IEEE working group developing international AI Procurement standards. She holds a bachelor's degree in international business, an MBA in Marketing, and a Doctorate in Business Administration with a deep research background in AI related to HR tech and EdTech.      ABOUT THE HOST  Punit Bhatia is one of the leading privacy experts who works independently and has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organization culture with high AI & privacy awareness and compliance as a business priority by creating and implementing a AI & privacy strategy and policy.   Punit is the author of books “Be Ready for GDPR” which was rated as the best GDPR Book, “AI & Privacy – How to Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 50 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts.  As a person, Punit is an avid thinker and believes in thinking, believing, and acting in line with one's value to have joy in life. He has developed the philosophy named ‘ABC for joy of life' which passionately shares. Punit is based out of Belgium, the heart of Europe.     RESOURCES  Websites www.fit4privacy.com , www.punitbhatia.com,  https://www.linkedin.com/in/cari-miller/   Podcast https://www.fit4privacy.com/podcast Blog https://www.fit4privacy.com/blog YouTube http://youtube.com/fit4privacy      --- Send in a voice message: https://podcasters.spotify.com/pod/show/fit4privacy/message

In this episode of the Infrastructure Matters podcast, hosts Steven Dickens and Camberley Bates break down the recent earnings from Dell, Lenovo and HPE and the impact of announcements and orders for Generative AI technology. They also dive into the overwhelming number of announcements from Google Cloud Next, with Steven coming straight from the conference. We look at Google partnerships, Vertex, A3 VM, Kubernetes and what Google is doing to address security in their cloud.  Topics include:  Recent announcements and earnings from Dell, Lenovo and HPE and what it means in the world of Generative AI Highlights from the Google Next conference including key announcements around Generative AI NetApp's announcements on ONTAP and demo's for generative AI And will you trust DuetAI for your Google Gmail?  Competition and collaboration we are seeing with generative AI including highlights from Google, AWS, Oracle

In this episode of the Q&A Show, Ron Pepper and Rob Moroto answer listeners but with many of their own takes and perspectives — as we do! This is a special episode where we get to talk to an expert on generative AI, and ask as many questions as we can fit in the hour. Listen for some gems from Coco Mao, Co-founder and CEO of  https://openart.ai (not sponsored) Send us your questions for the Q&A Show at photofocus.com/questions. Thank you to Photomatix, the leader in HDR photography. Download and try the new Photomatix Pro 7 free.   About your hosts Ron Pepper is a Bay Area photographer specializing in 360° panoramic images for businesses, destinations, homes, schools and more. He's a LinkedIn Learning author, mentor and trainer. You can follow him on his website or Instagram. Rob Moroto is a commercial photographer based in Vancouver Island. From homes to people to businesses, Rob loves showing a different perspective through his lens. He sees depth in every person and every object, no matter how plain they may seem. You can follow him on his website or at CalgaryPhotos.ca.

Artificial intelligence is a polarizing topic, and its rapid evolution within content creation has set our once familiar world on edge. To help demystify this gargantuan subject and add clarity to important concerns, we're turning to an artist positioned at the very center of the debate between photography and AI imagery. Above photograph © Boris Eldagsen German media artist Boris Eldagsen made global headlines after entering his AI-generated image, “The Electrician,” in the Sony World Photography Awards. He won a top prize, and then ultimately declined the award due to a lack of open discussion about the need to categorize photographs and AI-generated imagery differently.  Join us for this frank and informative discussion about generative AI. Some of the diverse topics we cover include ways creativity is shared between man and machine, the effects of different languages (and even phrasing) when creating text prompts, inherent biases in AI training data and ways to counter this, the emergence of AI agencies, the newly created job title of Prompt Engineer, and much, much more. And for those listeners who fear AI as a threat to their photo careers, our discussion ends on an upbeat note, with the classification of generative AI as a knowledge accelerator, being most beneficial to practitioners with a solid background in traditional photography and the visual arts. To quote Eldagsen, “For the first time in history, the older generation has an advantage...” We'll let you listen to hear the end. Guests: Boris Eldagsen For more information on our guest and the gear he uses, see: https://www.bhphotovideo.com/explora/podcasts/photography/fake-memories-promptography-and-generative-ai-with-boris-eldagsen Stay Connected: Boris Eldagsen Website: https://www.eldagsen.com/ Boris Eldagsen Instagram: https://www.instagram.com/boriseldagsen/ Boris Eldagsen Facebook: https://www.facebook.com/boriseldagsen Boris Eldagsen YouTube: https://www.youtube.com/@EldagsenBoris/ Boris Eldagsen Workshops: https://www.eldagsen.com/lecturingworkshops/ Boris Eldagsen Panama Exhibition: https://www.eldagsen.com/pseudomnesia3/

Nervous about the privacy implications of your latest generative AI pilots? In this episode, Principal Analyst Enza Iannopollo shares some insights and mistakes to avoid.

The FutureWork podcast episode 5 features Charlene Li, an expert in transformative technologies that disrupt the business landscape. Charlene is a keynote speaker, Fortune 100 advisor and author. Her upcoming book "Mega Transformations" is set to release in early 2024. Charlene Li's expertise in generative AI provides valuable insights into the future of work and the potential of AI to drive innovation and transform industries. Companies can benefit from embracing generative AI and leveraging its power to analyze data, enhance collaboration, and create new customer experiences. Natalie Pierce and Charlene discuss what companies can do to start their generative AI journey and how to develop a strategy in the first 90 days. Key HighlightsCompanies should take action and not be afraid to be early adopters of generative AI.Establishing policies, guidelines, and codes of conduct for the use of generative AI is important for responsible and ethical use.Data governance and permissions are crucial for protecting employee and customer data when using generative AI.Companies should tap into internal data and expertise to enhance collaboration and create new customer experiences using generative AI.Responsible and ethical use of generative AI is essential, and companies should prioritize protecting employee and customer data.

In episode 92 of The Gradient Podcast, Daniel Bashir speaks to Kevin K. Yang.Kevin is a senior researcher at Microsoft Research (MSR) who works on problems at the intersection of machine learning and biology, with an emphasis on protein engineering. He completed his PhD at Caltech with Frances Arnold on applying machine learning to protein engineering. Before joining MSR, he was a machine learning scientist at Generate Biomedicines, where he used machine learning to optimize proteins.Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pubSubscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (02:40) Kevin's background* (06:00) Protein engineering early in Kevin's career* (12:10) From research to real-world proteins: the process* (17:40) Generative models + pretraining for proteins* (22:47) Folding diffusion for protein structure generation* (30:45) Protein evolutionary dynamics and generative models of protein sequences* (40:03) Analogies and disanalogies between protein modeling and language models* (41:45) In representation learning* (45:50) Convolutions vs. transformers and inductive biases* (49:25) Pretraining tasks for protein structure* (51:45) More on representation learning for protein structure* (54:06) Kevin's thoughts on interpretability in deep learning for protein engineering* (56:50) Multimodality in protein engineering and future directions* (59:14) OutroLinks:* Kevin's Twitter and homepage* Research* Generative models + pre-training for proteins and chemistry* Broad intro to techniques in the space* Protein structure generation via folding diffusion* Protein sequence design with deep generative models (review)* Evolutionary velocity with protein language models predicts evolutionary dynamics of diverse proteins* Protein generation with evolutionary diffusion: sequence is all you need* ML for protein engineering* ML-guided directed evolution for protein engineering (review)* Learned protein embeddings for ML* Adaptive machine learning for protein engineering (review)* Multimodal deep learning for protein engineering Get full access to The Gradient at thegradientpub.substack.com/subscribe

Is AI finally going to be the undeniable and absolute conqueror of the billable hour? Though many have called for its demise for years, the billable hour still has a substantial foothold in much of the industry, but AI might just change all that. Sharon Nelson and Jim Calloway talk with Jordan Furlong about how AI promises to change not just billing, but law firm business practices across the board. Jordan explains AI's potential to spur a variety of new innovations in legal practice and what lawyers should do to stay abreast of new developments.  Jordan Furlong is an internationally renowned legal sector analyst, author, speaker, and consultant deeply invested in a better future for the legal profession and the society it serves.

Sudhir Hasbe, Chief Product Officer at Neo4j, and a longtime technical and product leader in the data management space.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

We return this week with the Generative AI News (GAIN) rundown for September 8, 2023. Get ready for a lot of product announcements and some special segments on NVIDIA and how cloud providers are influencing the competitive landscape: NVIDIA Blowout revenue - GPU purchases are upstream of generative AI software sales. NVIDIA just announced a record quarter that was nearly double the previous quarter and quarterly record. It also forecasted a new revenue quarter for the next quarter. We put into context how this will flow down into cloud and software revenue. Cloud Wars and LLMs - What role do the cloud hyperscalers AWS, Azure, and Google Cloud play in the LLM competitive landscape? We look at the ecosystems and how cloud distribution could make or break an LLM's adoption. Generative AI winners and losers of the week. Commentary this week is led by Voicebot.ai's head writer, Eric Schwartz, and Bret Kinsella from Synthedia and Voicebot.

Generative AI can drive a step function of change in productivity and efficiency through automation, and most organizations should expect to see about a 100x improvement, Amazon Web Services' Vice President Matt Wood tells Bloomberg Intelligence. Woods joins BI analyst Anurag Rana on this episode of the Tech Disruptors podcast to discuss AWS' position in the space, as well as in cloud computing, which it pioneered nearly two decades ago.

Highlights from this week's conversation include:Amr's extensive background in data (3:23)The evolution of neural networks (9:21)The role of supervised learning in AI (11:17)Explaining Vectara (13:07)Papers that laid the foundation for AI (15:02)Contextualized translation and personalization (20:07)Ease of use and answer-based search (25:01)AI and potential liabilities (35:54)Minimizing difficulties in large language models (36:43)The process of extracting documents in multidimensional space (44:47)Summarization process (46:33)The danger of humans misusing technology (54:59)Final thoughts and takeaways (57:12)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

In this episode of the Wise Decision Maker Show, Dr. Gleb Tsipursky speaks to Ben Dutter, SVP of Strategy at Power Digital, who talks about how generative AI makes marketing more efficient.You can learn about Power Digital at https://powerdigitalmarketing.com/

Getting Ahead on Generative AI: Ep. 40 of Red Sky Fuel for Thought Podcast What You'll Learn in This Episode:·     How marketers and PR professionals can use generative AI to make our lives easier·     Where we should not use generative AI from a legal or ethical perspective·     How to strike the balance between being better with AI and being better than AI Now that the dust is settling on the AI maelstrom that's raged for the past few months, our September episode looks at what we've learned about generative AI in particular: the good, the bad and the uncertain. Host Lara Graulich examines how artificial intelligence, or AI, has become a buzzword that elicits many emotions: wonder, excitement, confusion and anxiety, among others. As she says, “One thing is certain: This technology is here to stay, and it's important for us to understand it as marketing and public relations professionals.” To help you make out the full picture of generative AI today, we've divided this episode into two parts. First, Umbar Shakir, a partner and client director at Gate One, gives us a whip-smart introduction to generative AI, what it's capable of and what its limitations are. In part two, we dig into the specific implications that generative AI has in the PR and marketing space. For this roundtable, we're chatting with Rachael Sansom, CEO of Havas Red U.K., and Myrna Van Pelt, head of technology and business for Havas Red Australia. The episode begins with Umbar (pronounced “Amber”), who differentiates traditional AI from generative AI. Traditional AI, she says, is the ability of machines to mimic human intelligence to perform tasks and automate workflows. This is AI as we've known it; it's what's been around for decades, and it's something technology consultants have been implementing for clients for a long time. However, when large language models began arriving over the past five years or so, generative AI stole the spotlight. With generative AI, trillions of bits of crowdsourced data can be used to synthesize new data. Does this new capability represent a threat to human creativity or to job security? No, says Umbar: “As marketers, your whole value add to customers is differentiation and personalization. Even though generative AI can generate content for us, you need the human brain to give the differentiation. And then you need the human heart and emotion. In all the marketing campaigns I've been involved in, an emotive response is really important to memorability. That comes from heart, and a lot of our emotional intelligence comes from our values, beliefs and moral judgments. At the moment, you can't mathematically program that in. What we need to remember is that we've built this tool, and we can interact with it; it might be faster than us, and it might be able to process more data than we can at any point in time, but it doesn't replace our humanity.” Instead, AI can create space for those of us in this industry to get back to our craft and to doing some of the things that drew us here in the first place — to creating human connection, for example — rather than the monotony of data analysis or transcription. Plus, with generative AI, we're going to get richer insights much more quickly than we would on our own.   When it comes to humans' job security, Umbar says, “I've got a slightly provocative view on things. When people worry that generative AI will cause people to lose jobs, I say there are some jobs out there that humans should never have been doing. We have taken really tedious work and turned it into careers for people. We've normalized tedium. How do we unshackle ourselves from some of that tedium? How do we then free up capacity to solve for bigger and better problems for society? How do you use this technology to replace what humans have been doing that fundamentally doesn't tap into our humanity or our values or our creativity?” Umbar's segment ends with her answering these questions, before Lara then welcomes Rachael and Myrna to the podcast. She first asks them what excites them most about generative AI and the capabilities it brings to our clients and which tools they've most enjoyed using. “Gen AI cannot create ideas, but what it can do is take great ideas, by humans, and push them faster and further and help iterate them more brilliantly,” says Rachael. In marketing and communications, Myrna says AI also has a distinct role to play in helping us in the area of rapid decision making. “As humans, we have finite ability to scan volumes of information,” she says. “However, AI does this at a fraction of the time. So, for example, when it comes to understanding audience preferences, or demographic nuances, AI can help sort through this massive volume of content, identifying patterns and trends, anticipating future scenarios, and then categorizing the data. We then have an absolute smorgasbord of useful pre-categorized content we can use to inform campaigns, particularly so in industries where a rapid pivot of a campaign might make the difference between success and failure — particularly so in political campaigns.” Among Myrna's go-to AI tools, she highlights Brandwatch, which provides media monitoring and competitor tracking; TLDR, which summarizes high-tech articles; and DeepL Translate, which can accurately translate content in dozens of different languages. Next, they talk about the inherent risks of using AI, including where we should and shouldn't use it from an ethical and legal perspective — e.g., is a press release fair game? Thank you to each of our guests for weighing in on the transformative power of AI. We hope you'll give “Red Sky Fuel for Thought” a listen, and subscribe to the show on iTunes, Spotify or your favorite podcasting app. Don't forget to rate and review to help more people find us!Also mentioned on this episode:·     ChatGPT·     Brandwatch·     TLDR·     DeepL Translate Follow Red Havas for a daily dose of comms news:·      Twitter·      Facebook·      Instagram·      LinkedIn Subscribe:Don't forget to subscribe to the show using your favorite podcasting app.·      iTunes·      Spotify What did you love? What would you like to hear about next?Remember to rate and review today's show; we'd love to hear from you!  

In this episode, Kendra Vant and Tracy Moore delve into the world of generative AI and its potential for unlocking commercial value. They kick off by addressing the excitement and hype surrounding generative AI technologies and emphasise the importance of grasping the fundamentals to extract real value from these advancements.  --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

As generative AI sweeps through the legal profession, lawyers face challenges in learning to use it responsibly and properly. This summer, one of the world's largest law firms, Orrick, Herrington & Sutcliffe, began to address that challenge by partnering with the legal skills training company AltaClaro to develop a training program for its summer associates on prompt engineering and the responsible use of generative AI. On this episode of LawNext, host Bob Ambrogi is joined by Abdi Shayesteh, the founder and CEO of AltaClaro, a company that takes a unique experiential approach to lawyer training. They  talk about the genesis and development of that AI training program, and what it covers. Shayesteh also provides an update on the company's growth and development since he was last on this podcast in January 2021 – a period during which the company raised a seed financing round of $2.5 million and substantially expanded its menu of course modules.  When Shaesteh, a serial entrepreneur who became a lawyer, saw how poorly prepared new associates were to practice law, he began to research education science and came up with the concept for AltaClaro. Today, its customers include law firms who use it to train associates and individual lawyers seeking to develop and enhance their skills in areas such as drafting contracts, handling M&A transactions, or closing a commercial loan deal.    Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out.   Paradigm, home to the practice management platforms PracticePanther, Bill4Time, MerusCase and LollyLaw; the e-payments platform Headnote; and the legal accounting software TrustBooks. Universal Migrator, the easiest way to move your firm's data and documents from one app to another. Trial Pad, an easy-to-use app to organize, annotate, and present evidence   If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.  

About Vijay Rayapati: The next guest on The One Percnet Project is Vijay Rayapati, the co-founder and CEO of Atomicwork a startup that helps enterprises bring their employees, IT systems, and HR operations together to drive business impact. Previously, Vijay co-founded Minjar, a cloud management startup. Minjar was acquired by Nutanix in 2018. Vijay's journey is a testament to grit, patience, and perseverance. From his early life in a small town in Andhra Pradesh in India to becoming a prominent entrepreneur, Vijay shares his counterintuitive insights on entrepreneurship, the importance of people's success, and his passion for seeding and building.  Join us as we explore Vijay's journey, from his roots in a small town to his role as a leader in the tech industry. Subscribe to the show wherever you listen to it and sign up for The One Percent Project's "Think" newsletter at onepercent.live for curated content that adds value to your professional and personal development. Key Take Aways & Transcript: https://bit.ly/TOP_Vijay Follow & Subscribe: WhatsApp: https://bit.ly/TOP_WA2 YouTube: https://bit.ly/TOP_Youtube LinkedIn: https://bit.ly/TOP_LinkedIn Twitter: https://bit.ly/TOP_Twitter1 Instagram: https://bit.ly/TOP_Insta In this conversation, he talks about: ⁠⁠00:00⁠⁠⁠ Intro 02:28 Influence of his mother 05:01 Journey from a small town to Atmoicwork 13:52 Why build Amnigos- a Food delivery startup in 2007? 20:28 Why build Minjar after Amigos's failure? 25:23 Types of entrepreneurs 27:27 Why build Atomicwork? 35:13 Outbound vs. Inbound lead generation 39:17 Pricing 42:07 Why is generative AI the next Saas? 46:40 Generalist Vs Speacialist 47:07 Counterintuitive insights about entrepreneurship 49:24 Three Books 51:05 Advice to younger self

Today's guest is Heather Lane, Senior Architect at athenahealth. athenahealth is one of the leading U.S. providers of network-enabled services for healthcare and point-of-care mobile apps. Heather joins us on today's program to discuss the implications of new, emerging generative AI capabilities on the healthcare space and the systems healthcare providers must implement to leverage their benefits. To access Emerj's frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

In the latest episode of the Trends from the Trenches podcast, host Stan Gloss and Bryn Roberts, PhD, Global Head of Data & Analytics at Roche Information Solutions explore the Why and the How behind AI. What used to be “happily left a bit in the background” is now main stage thanks to everyone's new interest in ChatGPT. Roberts recommends applying pharma's Target Product Profiles (TPPs) to AI products as well: understanding what a tool or model should do, who its users are, how it will be delivered, and what biases to watch out for. This approach will help us develop, train, tune, monitor, and manage the AI models that he expects will bring significantly more products and better products at a dramatically reduced cost.Links from this episode:  Roche Information Solutions Submit a question for Bryn and Stan to cover at Bio-IT World Europe Bio-IT World BioTeam Bio-IT World Europe Trends from the Trenches boiler: Bio-IT World's Trends from the Trenches podcast delivers your insider's look at the science, technology, and executive trends driving the life sciences through conversations with industry leaders. BioTeam co-founder Stan Gloss brings years of industry experience in science, data, and technology to conversations exploring what is driving data and discovery, and what's coming next.

We're back with an exciting week of AI news! This episode was recorded Sunday, Sept. 24, only to wake up to Anthropic/Amazon news, and ChatGPT updates! But more on that next week. In the meantime, Paul and Mike break down some exciting updates from OpenAI, Sequoia Capital, Microsoft, and more. 00:02:44 — DALL-E 3 00:08:12 — Sequoia Capital's Act 2 of their Gen AI Market Map 00:18:45 — AI and the accounting industry 00:30:06 — Bard and the Google apps connection 00:33:29 — Microsoft announcements at its Surface and AI event 00:37:56 — EU Act implementation 00:42:28 — Jim Thune and Amy Klobuchar unveil major AI bill 00:43:00 — Famous writers join Authors Guild in class action lawsuit 00:46:17 — TikTok rolls out new label for AI-generated content 00:48:01 — Andy Crestodina's AI for SEO blog post 00:49:58 — Twitter hides X posts with external links This episode is brought to you by AiAdvertising. Start winning with AiAdvertising's innovative approach to maximizing budget and performance. Use AI to optimize campaigns by gaining deep customer insights, drawing out motivations and behaviors, enabling intelligent targeting and ensuring messages hit the mark. Stop wasting time, money, and resources. Let AiAdvertising lead while you take the credit! Visit www.aiadvertising.com/aipod to learn more! Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar  Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

While generative AI can be used to streamline or assist human creators develop original works, major concerns exist as major film & TV studios stand to reap huge financial benefits by using the technology to wholesale develop screenplays or substitute in digital recreations of actors. This is one of the pillars of the ongoing SAG-AFTRA and WGA strikes, as workers in the creative industry fight for regulations on the technology to ensure they are not exploited for the sake of corporate profits. In our latest podcast, J. Christopher Hamilton of ARS Counsel joins us to discuss the ins-and-outs of the present issues around the strikes, as well as what early steps are being taken to support creative professionals.

Artificial Intelligence. Machine Learning. Generative AI. Deep Learning. What does it all mean?! And why should you as a founder or entrepreneur care? Michael Connor joins Justin to unpack all of this and more as related to the Retail and Consumer Packaged Goods start-up space.

Sarah Frampton & Judah Axe join us to talk about their paper, A Tutorial for Implementing Matrix Training in Practice   Show Notes   Remember to join us on Facebook to suggest articles to review and questions for authors. https://www.facebook.com/BApractice Acknowledgments Host and Executive Producer: Cody Morris, Ph.D., BCBA-D, LBA https://salve.edu/users/dr-cody-morris Assistant Producers Jesse Perrin Jacob Oliveira Organizational Support ABAI https://www.abainternational.org/welcome.aspx Behavior Analysis in Practice Editor, Stephanie Peterson, Ph.D., BCBA-D, LBA https://www.abainternational.org/journals/bap.aspx Music Cruising Altitude by Jim Carr and his band New Latitude http://www.newlatitudemusic.com Link to Article A Tutorial for Implementing Matrix Training in Practice | SpringerLink References Bergmann, S., Van Den Elzen, G., Kodak, T., Niland, H., & Dawson, D. (2022). Comparing matrix training procedures for children with autism spectrum disorder. Analysis of Verbal Behavior, 38(1), 24-53.   Curiel, E. S., & Curiel, H. (2021). Teaching receptive money identification skills using matrix training: A preliminary investigation. Behavioral Interventions, 36(3), 572–582. https://doi.org/10.1002/bin.1794   Curiel, E. S., Sainato, D. M., & Goldstein, H. (2016). Matrix training of receptive language skills with a toddler with autism spectrum disorder: A case study. Education and Treatment of Children, 39(1), 95–109.   Curiel, E. S., Sainato, D. M., & Goldstein, H. (2018). Matrix training for toddlers with autism spectrum disorder and other language delays. Journal of Early Intervention, 40(3), 268–284. https://doi.org/10.1177/1053815118788060   Curiel, E. S., Axe, J. B., Sainato, D. M., & Goldstein, H. (2020a). Systematic review of matrix training for individuals with autism spectrum disorder. Focus on Autism & Other Developmental Disabilities, 35(1), 55–64. https://doi.org/10.1177/1088357619881216   Curiel, E. S., Curiel, H., & Li, A. (2020b). Generative time telling in adults with disabilities: A matrix training approach. Behavioral Interventions, 35(2), 295–305. https://doi.org/10.1002/bin.1714   Frampton, S. E., & Axe, J. B. (2022). A tutorial for implementing matrix training in practice. Behavior Analysis in Practice, 16(1), 334–345. https://doi.org/10.1007/s40617-022-00733-5   Palmer D. C. (2012). The role of atomic repertoires in complex behavior. The Behavior Analyst, 35(1), 59–73. https://doi.org/10.1007/BF03392266  

Today we're joined by Nataniel Ruiz, a research scientist at Google. In our conversation with Nataniel, we discuss his recent work around personalization for text-to-image AI models. Specifically, we dig into DreamBooth, an algorithm that enables “subject-driven generation,” that is, the creation of personalized generative models using a small set of user-provided images about a subject. The personalized models can then be used to generate the subject in various contexts using a text prompt. Nataniel gives us a dive deep into the fine-tuning approach used in DreamBooth, the potential reasons behind the algorithm's effectiveness, the challenges of fine-tuning diffusion models in this way, such as language drift, and how the prior preservation loss technique avoids this setback, as well as the evaluation challenges and metrics used in DreamBooth. We also touched base on his other recent papers including SuTI, StyleDrop, HyperDreamBooth, and lastly, Platypus. The complete show notes for this episode can be found at twimlai.com/go/648.

In this episode of the Lair of Secrets podcast, we're talking about generative AI as a tool in gaming! We're looking at how the overhyped tech can assist game masters and players alike. We provide real-game examples of using ChatGPT prompts both during prep and in game. Main topic: ChatGPT and Generative AI in RPG … S3E24 Using ChatGPT and Generative AI in RPG Prep Read More » The post S3E24 Using ChatGPT and Generative AI in RPG Prep appeared first on Lair Of Secrets.

Harnessing the potential of AI is similar to unlocking a treasure trove of opportunities for businesses. AI can optimize operations, improve decision-making, and enhance customer experiences like never before. With some expertise, companies can tap into this transformative power, driving innovation and staying ahead in the dynamic landscape of AI-driven business evolution. Kevin Surace is a renowned artificial intelligence and AI innovator from appvance.ai. Kevin is deeply passionate about harnessing the extraordinary potential of AI to bring about revolutionary changes in the business world and drive innovation. With an impressive history of building billion-dollar ventures, he has channeled his expertise into becoming a sought-after speaker, consultant, and thought leader. His insights are invaluable for companies seeking to navigate the ever-evolving terrain of AI-driven transformation. Today, Kevin will delve into the profound impact of AI, highlighting its capacity to revolutionize various aspects and dispel common misconceptions about its innovation. Stay tuned! Resources Appvance Site Kevin Surace on Facebook Kevin Surace on Linkedin

In this podcast episode, Ricardo emphasizes the increasing relevance of artificial intelligence (AI) across various professions, particularly in project management. He recommends several free online AI courses, including those by PMI, Google, Linkedin, and Microsoft, highlighting their differences and merits. Ricardo encourages professionals to dedicate time to these courses to enhance their AI understanding, emphasizing the importance of continuous learning. He mentions the Masterclass and concludes by urging listeners not to procrastinate and to take advantage of these valuable AI resources.

On diginomica, I've been pushing back on the generative AI hype machine with vigor, but also digging into its enterprise possibilities. Who better for an enterprise AI gut check than Vijay Vijayasankar? Vijayasankar has a deep interest/passion for AI but also has an reputation for debunking its misconceptions. In his role at IBM managing financial services clients, he can also speak to project realities - and how customers weigh GenAI risks and opportunities. I lay out my generative AI views/research for a gut check from Vijayasankar. We also discuss why he wrote his post on GenAI in the enterprise, and what he thinks customers should prioritize, as they move into GenAI projects. Vijayasankar also shares his own project learnings, and promising use cases. We hit on many issues in this podcast, such as whether bias and hallucations can ever be eliminated from LLM, and whether domain experts, customer data and reinforcement learning can improve the accuracy/effectiveness of GenAI for the enterprise. As Vijayasankar notes in the podcast, the views he expresses here, and in his post, are his views alone, not his employer. Vijay's AI post: https://andvijaysays.com/2023/08/05/genai-in-the-enterprise-nine-themes-that-i-have-seen-so-far/ My AI post: https://diginomica.com/enterprises-will-test-limits-llms-and-chatgpt-just-beginning

This week's podcast focuses heavily on the agricultural robotics industry. Mike shares his insights from FIRA USA and we sit down with Brandon Contino, CEO and co-founder of Four Growers, a startup building robots to harvest foods grown in greenhouses. Brandon talks about the technical and business challenges related to the robot and how focusing on greenhouses helps product evolution, We also recap the stories of the week, including how Toyota Research Institute is using Generative AI to help robots learn dexterous manipulation behaviors. TRI is looking to build Large Behavior Models for robots, akin to Large Language Models (LLMs) for conversational AI.

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) An update on our Yahoo episode quest 2) A recap and further analysis of Airbnb Brian Chesky's appearance on the podcast 3) Recent tech IPOs falling back to earth 4) The broader market's downturn and the chance of a recession 5) Jack Dorsey's Return to Square 6) The success of Snapchat+ 7) Generative AI announcements from Amazon, Google, and Microsoft 8) Does Generative AI take off in enterprise settings first? 9) The rise of CleanTok. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. For weekly updates on the show, sign up for the pod newsletter on LinkedIn: https://www.linkedin.com/newsletters/6901970121829801984/ Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

SEO is always changing. From its earliest days, when SEO first became a thing, it was never static. But now, with ChatGPT technology increasingly being built into search engines, we're at an inflection point with SEO. As it becomes increasingly less necessary to click through to websites to get answers to questions, how can marketers adjust their SEO strategies to keep traffic flowing to their website? Is website traffic flow still a metric worth chasing? This episode's guest is here to help us explore these questions. Liam Carnahan, a content strategist, SEO expert, and owner of Inkwell Content Services, offer valuable insights about what content marketers need to know and do to get value from SEO going forward. The B2B Content Show is brought to you by Connversa, helping you create a month's worth of authority-building thought leadership content in 60 minutes.

On today's podcast episode, we discuss the speed of AI adoption, what to make of ChatGPT's engagement lull, and how Nvidia is shaping AI's future. "In Other News," we talk about how Roblox's AI assistant could transform gaming and how Amazon is using its neural network to improve the NFL's game-watching experience. Tune in to the discussion with our analysts Jacob Bourne and Gadjo Sevilla.   Follow us on Instagram at:  https://www.instagram.com/behindthenumbers_podcast/   For sponsorship opportunities contact us: advertising@insiderintelligence.com For more information visit: https://www.insiderintelligence.com/contact/advertise/ Have questions or just want to say hi? Drop us a line at podcast@emarketer.com    For a transcript of this episode click here:  https://content-na1.emarketer.com/podcast-daily-speed-of-generative-ai-revolution-how-ai-improve-watching-football-roblox-ai-assistant?_gl=1*1tr7rua*_ga*MTc1OTI2OTQ5LjE2NzEwNzIyNDA.*_ga_XXYLHB9SXG*MTY5NTMwNTkxOS4xNDQuMC4xNjk1MzA1OTE5LjAuMC4w   © 2023 Insider Intelligence  Unlock unlimited opportunities that reach consumers everywhere with Awin's affiliate marketing platform. Choose which partners best match your marketing objectives. Control costs by defining how you pay them. And customize your program to mirror your unique goals. Consider Awin your full customer journey marketing partner to drive growth.  

Today on the Salesforce Admins Podcast, we're replaying our episode with Sarah Flamion, Research Architect on Salesforce's Research & Insights Team. Join us as we chat about what recent advances in generative AI mean for admins and the Salesforce Platform. You should subscribe for the full episode, but here are a few takeaways from our […] The post Replay: Sarah Flamion on Generative AI appeared first on Salesforce Admins.

Joanne’s guest today is Marc Beckman, Founding Partner and CEO of DMA United, the author of The Comprehensive Guide to NFTs. Digital Artwork and Blockchain Technology and a Senior Fellow at NYU's Emerging Technologies Collaborative. In this informative and engaging conversation, Marc presents a very convincing argument for how new technologies including Web3, Blockchain, the […] The post Web3, NFTs, Blockchain, and Generative AI: The Opportunities for Brands According to Marc Beckman: Episode #84 appeared first on joanne tombrakos.

As companies struggle to understand the implications and applications of generative AI, one thing seems clear: AI and its future iterations are not going anywhere. On this episode of The McKinsey Podcast, senior partner Kweilin Ellingrud and partner Saurabh Sanghvi share findings from McKinsey's latest report on gen AI with editorial director Roberta Fusaro and explain why companies must pivot to embrace the technology itself and the deep and lasting changes it may create. Individual and organizational adaptability will be critical. Also on this episode, the advent of gen AI has many people thinking about the future of their jobs. Joanne Lipman, author of Next! The Power of Reinvention in Life and Work (Mariner Books, March 2023), shares a four-step process for figuring out where you might go next and how you'll get there, in our Author Talks series. The McKinsey Podcast is cohosted by Roberta Fusaro and Lucia Rahilly. Theme music produced, composed, and performed by Joy Ngiaw. See www.mckinsey.com/privacy-policy for privacy informationSee www.mckinsey.com/privacy-policy for privacy information

The group discusses the DOJ's antitrust case against Google's search dominance. The hosts debate whether AI will help or harm the fight against online disinformation. Leo and Joan discuss the challenges of internet safety and regulation in the UK. Google news includes: Chromebook lifespan extended to 10 years, Android 14 QPR beta, Google Calendar appointment booking, Nest speaker groups limited, and Google Domains transferred to Squarespace. Leo and Joan talk about the New York Times job posting for an AI ethics lead. The hosts play an AI-generated song made by Stability AI. Leo shares highlights from the leaked Google document about shutting down Stadia game streaming. Hosts: Leo Laporte, Jeff Jarvis, and Ant Pruitt Guest: Joan Donovan Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: GO.ACILEARNING.COM/TWIT mylio.com/TWIT

The group discusses the DOJ's antitrust case against Google's search dominance. The hosts debate whether AI will help or harm the fight against online disinformation. Leo and Joan discuss the challenges of internet safety and regulation in the UK. Google news includes: Chromebook lifespan extended to 10 years, Android 14 QPR beta, Google Calendar appointment booking, Nest speaker groups limited, and Google Domains transferred to Squarespace. Leo and Joan talk about the New York Times job posting for an AI ethics lead. The hosts play an AI-generated song made by Stability AI. Leo shares highlights from the leaked Google document about shutting down Stadia game streaming. Hosts: Leo Laporte, Jeff Jarvis, and Ant Pruitt Guest: Joan Donovan Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: GO.ACILEARNING.COM/TWIT mylio.com/TWIT

For all the FOMO that generative AI has inspired among B2B marketers, many aren't sure where to start with it. Principal Analyst Lisa Gately shares her insights this week on What It Means.

For all the talk of students using Artificial Intelligence to cheat, we can easily miss the reality that A.I. has made differentiated instruction more feasible for educators. In this week’s article and podcast episode, I explore how we can leverage A.I. tools for differentiated instruction.... The post How to Use Generative A.I. to Design Better Scaffolds and Supports appeared first on John Spencer.