Podcast appearances and mentions of David Cohen

What does true strength look like? In this unforgettable episode, we sit down with David Cohen, an 81-year-old Vietnam War veteran, lifelong public servant, and one of the most remarkable people you'll ever meet.From leading a POW hospital deep in the Mekong Delta to cycling 20 miles a day through Vermont, rain or shine—returning to the gym just weeks after open-heart surgery—Dave's story defies expectation at every turn. His life is a masterclass in grit, heart, and unshakable purpose.We dive into the raw realities of war in a POW hospital, the brotherhood forged through tough times, and the often silent struggle of coming home. Dave opens up about the highs, the heartbreak, and the lessons he hopes will echo through generations to come.This episode is more than a war story. It's a story of endurance, healing, and the quiet power of living with intention.Tune in—you won't forget this one.Also, remember to submit your questions or topic suggestions anonymously for a future Insight Exchange. https://collectinginsight.com/insight-exchange All episodes edited and mixed by Jake Musiker.

Join us for part two of the fascinating conversation between Ambassador David Cohen, now back from Canada, and Citizen co-founder Larry Platt. They talk about real diplomacy on the world stage and why diversity is so important for our city, state and nation. 

Talk of artificial intelligence (AI) seems inescapable, but are AI and other emerging technologies really affecting daily dermatology practice? David Cotter, MD, PhD gives a status check and preview of things to come. Plus, Hilary Baldwin, MD shares tips for sunscreen recommendations and David Cohen, MD addresses new data on biologics and pediatric growth rates. Like what you're hearing? Want to learn more about the Dermatology Education Foundation? Explore assets and resources on our website.

Just what does an ambassador do, anyway? Back from Canada, join legendary civic force David Cohen and Citizen co-founder Larry Platt for a candid conversation about the embattled art of diplomacy, the power of diversity, and the state of our city. The first of a monthly live podcast recording series.

Join us for a look at David Cohen's SWIFT methodology — a powerful blueprint encompassing Social, Work, Inner, Financial, and Taking Care of aspects. This episode delves into how SWIFT empowers individuals to set meaningful goals, maintain focus, and achieve life's aspirations with clarity. Whether you're seeking abundance, fulfillment, or simply want to live life to the fullest, this episode offers practical insights and inspiration for crafting a deeply satisfying life aligned with your dream.Working on Purpose is broadcast live Tuesdays at 6PM ET and Music on W4CY Radio (www.w4cy.com) part of Talk 4 Radio (www.talk4radio.com) on the Talk 4 Media Network (www.talk4media.com). Working on Purpose is viewed on Talk 4 TV (www.talk4tv.com).Working on Purpose Podcast is also available on Talk 4 Media (www.talk4media.com), Talk 4 Podcasting (www.talk4podcasting.com), iHeartRadio, Amazon Music, Pandora, Spotify, Audible, and over 100 other podcast outlets.Become a supporter of this podcast: https://www.spreaker.com/podcast/working-on-purpose--2643411/support.

In this episode of the Give First podcast, host David Cohen is joined by Usman Gul, founder and CEO of Metal. Usman shares his entrepreneurial journey and how his company is revolutionizing the fundraising process for startups. Usman discusses his own experience raising capital, the challenges he encountered, and how Metal is simplifying and democratizing access to venture capital. With advanced investor intelligence and AI-driven tools, Metal is transforming the way founders identify and connect with the right investors. Tune in to hear how technology and entrepreneurship come together to make fundraising more efficient and accessible for all.Follow David Cohen on Twitter @davidcohenListen & subscribe to the Give First podcast on Apple Podcasts, Spotify, and more. Hosted on Acast. See acast.com/privacy for more information.

David Cohen, Former U.S. Ambassador to Canada; Abigail Bimman, CTV News; Shachi Kurl, Angus Reid Institute; The Front Bench with: Sabrina Grover, Melanie Paradis & Gurratan Singh.

¿El dinero está afectando tu relación de pareja? En este episodio hablamos sin filtros sobre uno de los temas que más separa (o une) a las parejas: las finanzas. Discutimos sobre: • Los problemas más comunes por gastos descontrolados. • ¿Cómo tomar decisiones juntos en inversiones importantes? • Tips para lograr ahorrar en pareja sin dramas ni reproches. • ¿Deberíamos tener cuentas separadas, compartidas… o ambas? • Cómo construir un futuro económico sólido en equipo (sin dejar de disfrutar el presente). Además, compartimos experiencias personales (¡con anécdotas reales y sin poses!) sobre cómo nosotros mismos hemos enfrentado retos financieros como pareja. Si alguna vez te preguntaste: • “¿Por qué siempre discutimos cuando hablamos de dinero?” • “¿Qué hago si mi pareja gasta de más?” • “¿Cómo empezamos a ahorrar de verdad juntos?” ¡Este episodio es para ti! Learn more about your ad choices. Visit megaphone.fm/adchoices

AI is making its way into EHRs, but how do we make sure it actually helps clinicians rather than adding more frustration? In this interview, David Cohen, Chief Product & Technology Officer at Greenway Health, shares how the company is taking a practical approach to AI—focusing on reducing administrative burden, streamlining workflows, and improving efficiency for both clinicians and patients. He also discusses Greenway's partnership with AWS and what it means for customers moving forward. Learn more about Greenway at https://www.greenwayhealth.com/ Find more great health IT content at https://www.healthcareittoday.com/

Scared? Got questions about the continued assault on your reproductive rights? THE FBK LINES ARE OPEN! Just call or text (201) 574-7402, leave your questions or concerns, and Lizz and Moji will pick a few to address on the pod! Your Buzzkills are BACK with a brand new episode and to remind you that in space, no one can you hear you scream… that your (Jeff Bezos) feminism sucks! Lizz and Moji bring you this week's WTF moments of a Catholic hospital system suing because… a fetus isn't a person! Plus, they break down the Grand Damn of abortion bills that was proposed in North Carolina. THANKFULLY it got royally flushed, but you know how these things go. They are evil energizer bunnies who never give up. WE'VE GOT A TRIPLE THREAT LINEUP OF GUESTS! The star of The Vampire Diaries, badass activist Candice King is buzzkilling it as she talks about her upcoming new show, We Were Liars, and the sexist shit storms currently raging in Tennessee. Super creepy preview: They have an AI fetus they're trying to present in schools to talk about sex ed. DON'T MISS IT! ANDDDD! Considered some of the top researchers and experts in abortion care, Dr. Carole Joffe and Law Professor David Cohen join to talk about their incredible new book, After Dobbs: How the Supreme Court Ended Roe but Not Abortion. Their research and reporting on the resilience and innovation in our movement post-Dobbs is the inspiring glimmer of hope we can all use right now. Times are heavy, but knowledge is power, y'all. We gotchu.  OPERATION SAVE ABORTION: You can still join the 10,000+ womb warriors fighting the patriarchy by listening to our OpSave pod series and Mifepristone Panel by clicking HERE for episodes, your toolkit, marching orders, and more. HOSTS:Lizz Winstead IG: @LizzWinstead Bluesky: @LizzWinstead.bsky.socialMoji Alawode-El IG: @Mojilocks Bluesky: @Mojilocks.bsky.social SPECIAL GUESTS:Candice King IG: @Candiceking TikTok: @itscandicekingDr. Carole Joffe Bluesky: @carolejoffe.bsky.socialDavid Cohen IG: @dsc250 Bluesky: @dsc250.bsky.social  GUEST LINKS:Candice King LinktreeBUY BOOK: “After Dobbs: How the Supreme Court Ended Roe but Not Abortion”DONATE: Keep Our Clinics NEWS DUMP:East Texas Lawmaker Files Bill to Test Drinking Water For, um, Abortion Medication?How Antiabortion Extremists Stopped a Beverly Hills Clinic From Opening … With Help From City OfficialsBurial, Cremation Requirement for Procedural Abortions in Nebraska AdvancesAiming to Limit Damages, Catholic Hospital Argues a Fetus Isn't the Same as a ‘Person'A Harsh New Abortion Ban Won't Pass in NC, but You Still Should Be Alarmed EPISODE LINKS:Our Feelings on the Space WomenADOPT A CLINIC: Charlotte For Choice Volunteer Wish ListNE Abortion Resources (NEAR) The Stigma Relief FundOur Justice WebsiteBUY AAF MERCH!Operation Save AbortionSIGN: Repeal the Comstock ActEMAIL your abobo questions to The Feminist BuzzkillsAAF's Abortion-Themed Rage Playlist SHOULD I BE SCARED? Text or call us with the abortion news that is scaring you: (201) 574-7402 FOLLOW US:Listen to us ~ FBK Podcast Instagram ~ @AbortionFrontBluesky ~ @AbortionFrontTikTok ~ @AbortionFrontFacebook ~ @AbortionFrontYouTube ~ @AbortionAccessFrontTALK TO THE CHARLEY BOT FOR ABOBO OPTIONS & RESOURCES HERE!PATREON HERE! Support our work, get exclusive merch and more! DONATE TO AAF HERE!ACTIVIST CALENDAR HERE!VOLUNTEER WITH US HERE!ADOPT-A-CLINIC HERE!EXPOSE FAKE CLINICS HERE!GET ABOBO PILLS FROM PLAN C PILLS HERE!When BS is poppin', we pop off!

Trump tariff reaction with: Scott Reid, Rona Ambrose & Tom Mulcair; Stephen Poloz, Fmr. Bank of Canada Governor; Derek Burney, Former Canadian Ambassador to the U.S.; David Cohen, Former U.S. Ambassador to Canada; The Front Bench with: Sharan Kaur, Jamie Ellerton, Karl Bélanger & Hannah Thibedeau.

Drew, Nathian, Trevore and World Champion David Cohen talk about how the competitive scene changes with the introduction of Journey Together

Melissa Murray is in for Ali Velshi and is joined by Ranking Member of the House Armed Services Committee Rep. Adam Smith (D-WA), fmr. FTC Commissioner Rebecca Kelly Slaughter, Professor of Law at the University of Michigan Law School Leah Litman, Professor of Philosophy at Yale University Jason Stanley, White House Correspondent with The New York Times Luke Broadwater, Senator Sheldon Whitehouse (D-RI), Rep. Ayanna Pressley (D-MA), Associate Professor of Law at the University of Pittsburgh Greer Donley, Professor of Law at Drexel University David Cohen

En este episodio me senté con David Cohen, financiero y conferencista, quien nos revela cómo mejorar nuestro sueño, descansar de verdad y adoptar hábitos que transforman la vida. También hablamos sobre finanzas en pareja y la mejor forma de planear un futuro financiero juntos.

In this episode of Confessions of a Terrible Leader, Layci welcomes David Cohen, an organizational behavior expert with a doctorate from Boston University and additional studies at Harvard. David shares his extensive experience on how to map and understand the cultural DNA of organizations. They discuss the importance of leadership alignment with organizational values, the significance of integrity and respect across cultures, and the challenges in changing organizational culture. David also opens up about his personal journey and struggles with ADHD and how it has shaped his approach to leadership and consulting.00:00 Introduction to Confessions of a Terrible Leader00:26 Meet Our Guest: David Cohen00:43 David Cohen's Expertise and New Book02:10 Mapping Organizational DNA03:44 Cultural Alignment and Leadership Challenges05:24 Global Perspectives on Respect and Integrity08:21 Challenges in Changing Organizational Culture12:50 Diagnosing Culture vs. Strategy Problems20:00 David Cohen's Personal Leadership Journey24:53 Conclusion and Contact InformationEPISODE LINKS:David's website: https://sagltd.com/https://www.linkedin.com/in/david-s-cohen-0b0191/Confessions of a Terrible Leader is hosted by Layci Nelson and edited and produced by Fixation Point Productions. Music is by Leif Olsen and Mary Skop from the band The Number of Months.  

Mike Bernardo and Christopher Scott are joined by David Cohen and our wives, Regina Scott and the future Mrs. Taryn Bernardo in an epic debate foodie fans will enjoy! We created a 64 team style bracket (NCAA Style) featuring the top sports cities and their premier sports food options. Only one city will win? Who will it be?!

Learn all about how a professional storyteller uses data to solve the world's problems, one game show at a time.We had an interesting conversation with David Cohen, who built a career in consulting and found a passion for using data storytelling to drive real strategic change. But it's not just about building dashboards. At The end of the day it's about creating conversations, shifting mindsets, and making data useful and engaging for the people who need it most!

In this special live episode of Derms and Conditions, recorded at the 2025 Winter Clinical Dermatology Conference - Hawaii®, host Dr James Q. Del Rosso welcomes Dr April Armstrong, chief of dermatology at UCLA, and Dr David Cohen, dermatologist at NYU Langone, to break down the key takeaways from this year's meeting.   The discussion kicks off with chronic hand eczema, a condition that can be difficult to diagnose and treat due to its multiple causes. Dr Cohen highlights emerging data on new treatment options, including dupilumab, topical JAK inhibitors like ruxolitinib, and upcoming therapies like delgocitinib. They explore whether these newer therapies could be effective across different causes of hand eczema, even when an allergen isn't clearly identified.   Dr Armstrong then shifts the conversation to the next frontier in psoriasis treatment, including new oral therapies that are pushing efficacy to higher levels. They discuss IL-23 receptor antagonists, IL-17 inhibitors, and TNF inhibitors in development, as well as 5-year safety and efficacy data for deucravacitinib, which shows no long-term need for routine monitoring. The group also tackles the evolving treatment landscape for hidradenitis suppurativa (HS), where combination therapy is emerging as a key strategy. Dr Armstrong shares insights into guidance from the HS Foundation and the potential of pairing JAK inhibitors with IL-17 or TNF inhibitors for refractory cases.   They wrap up with practical pearls from the conference, including extended terbinafine treatment durations for fungal infections, pediatric biologic use around live vaccines, and the latest treatment options for molluscum contagiosum.   Tune in to this information-packed episode for expert insights and clinical updates straight from Winter Clinical 2025!

Premier Andrew Furey says Canadians have to stand firm on their sovereignty; Germany’s ambassador to Canada Tjorven Bellmann weighs in on Europe’s response to Ukraine and NATO defence spending; David Cohen, former U.S. ambassador to Canada, comments on Trump’s push to make Canada the 51st state; Strategists Scott Reid, Shakir Chambers and Kathleen Monk discuss how the political parties are doing amid the Liberal leadership campaign; Robert Fife, Nik Nanos and Robert Benzie discuss how Mark Carney leading the Liberal leadership race, and the threat to the Conservatives.

David Cohen, CEO of the Interactive Advertising Bureau (IAB), joins AdTechGod to wrap up the 2025 IAB ALM event in Palm Desert.  We discuss the highlights of the conference, including the potential for a national data privacy law, the creative revival driven by generative AI, and the rise of multiple identity solutions. You'll also find out why sustainability and DEI are more critical than ever and learn how the IAB is helping marketers tackle today's toughest privacy challenges.  Finally, David shares where the next IAB ALM gatherings will be held, so you can start planning. Takeaways AI is fundamentally changing media buying and measurement. The advertising industry must diversify its strategies post-cookie. Regulatory challenges are increasing with state-specific privacy laws. A national data privacy law could simplify compliance for advertisers. Creativity in advertising is being revitalized by generative AI. The future of advertising will involve multiple identity solutions. Sustainability and DEI are critical issues that need attention. The IAB is actively working on tools to help the industry navigate privacy laws. San Antonio will be the new host city for IAB ALM in 2027 and 2028. The advertising industry must adapt quickly to changing consumer behaviors. Chapters 00:00 Introduction to the Advertising Landscape 01:29 AI's Impact on Media Buying and Creativity 07:01 Navigating Cookie Deprecation and Identity Solutions 10:08 Regulatory Challenges in Advertising 16:02 Future of the IAB ALM and Industry Trends Learn more about your ad choices. Visit megaphone.fm/adchoices

Superfan Loretta joins us again! This time, she challenges our David Cohen to a Television trivial quiz game. Join us to see who will win. Do you think you can keep up? Bet you can. Like and subscribe and never miss a show. EverythingOldIsNewAgain.biz

Superfan Loretta challenges our own David Cohen in our own Movie Quiz Game. Join us to see if you can keep up or even do better then them? Like and subscribe and never miss a show. EverythingOldIsNewAgain.biz

Send us a text From Elite Jockey to Premier Dog Breeder and TrainerDavid Cohen's journey from the racetrack to the forefront of elite dog breeding and training is a testament to his lifelong passion for animals, discipline, and excellence. As a professional jockey with over 20 years of experience, David built a reputation for precision, patience, and perseverance—qualities that have seamlessly translated into his success as a breeder and trainer.As a JockeyDavid has achieved over 1,800 career wins, earning accolades such as the 2018 Comeback Jockey of the Year and induction into the Jewish Sports Hall of Fame in 2022. His extensive experience riding horses worldwide honed his ability to read animal behavior, build trust, and work in harmony with highly athletic animals. Success on the track required a deep understanding of each horse's unique temperament, physical condition, and training needs—a skill set he has carried into his work with dogs.Transition to Dog Breeding and TrainingDavid's elite breeding program focuses on American Terriers, emphasizing working dog capabilities such as scent detection, advanced obedience, tracking, and protection work. His approach is deeply rooted in the principles that made him a successful jockey:    1.    Building Trust    2.    Tailored Training:     3.    Precision and Patience:     4.    Physical and Mental Conditioning: The Perfect Blend of Experience and PassionDavid's background as a jockey taught him the value of consistency, adaptability, and high-performance standards. These qualities have become the foundation of his dog program, where he combines elite genetics with structured, early-stage training to produce exceptional working dogs.By integrating lessons from the equestrian world, David has elevated his breeding program, creating a legacy of excellence that mirrors his success in horse racing. His ability to translate the principles of elite performance across species has established him as a leading figure in the working dog community.We are pleased to announce that Vested Interest in K9's has become our newest sponsor. Vested Interest in K9s, Inc. is a 501c(3) non-profit whose mission is to provide bullet and stab-protective vests and other assistance to dogs. Check it out www.vik9s.org. Please welcome Ray Allen Manufacturing as a sponsor to the podcast. Go to the most trusted name in industry for all of your k9 related equipment. For a 10% discount use the RAMWDDP10 discount code.Welcome our sponsor Gold Coast K9. Gold Coast K9 trains and deploys hand-selected service dogs for personal and family protection, police agencies, and school districts. Their training programs rank among the best and most trusted in the world. Follow Gold Coast k9 on all social media platforms. For 10% off merchandise use the GCK910 discount code on their website www.goldcoastk9.comHLTK9 Conference continues to be a supporter of the WDDP. They are gearing up for the next conference in Myrtle Beach SC. Plan ahead, the 2025 conference will be April 1,2,3, 2025. Register today at www.htlk9.com. Welcome out newest sponsor NCK9LLC. Located in Four Oaks NC, just east of Raleigh NC. Jim O'Brien and staff offer a variety of K9 services. Contact them at Phone : 919-353-7149 Email: jobrien@nck9.us

David Cohen is the cofounder and CEO of Techstars, a global startup accelerator and venture capital firm. In this episode of the Blind Ambition podcast, David gives us an inside look of how his firm supports and mentors tech founders and has the willingness to bet early on. He emphasizes that successful investments often seem counterintuitive at first. David notes that there are rarely "aha" moments in investing, and ideas that initially sound bad can turn out to be the most valuable opportunities. This approach has led Techstars to invest in unicorn companies like Uber. He emphasizes the critical role of startups in driving job growth, challenging the traditional notion that large corporations are the primary employment engines. Lastly, David talks about growing his startup community and how he plans to scale tech hubs on the ground everywhere. 

Associates leaving. Loss of control. Loss of profits. These fears may be holding you back from exploring partnerships in your practice, but the right approach can turn partnerships into a win-win.In this episode, dental law attorney David Cohen breaks down partnership models and strategies to protect both the practice owner and the associate. From finding the right person to structuring agreements, you'll learn how to avoid common pitfalls and create partnerships that benefit everyone. Tune in now for all this and more!Topics discussed in this episode:New and traditional partnership modelsNavigating partnership discussionsHow to assess potential partnersEntity structures and junior partnership contractsPotential pitfalls in partnerships and how to avoid themFinancial considerations and managing capital gainsReach out to David Cohen to discuss options here. David's Email: david@cohenlawfirmpllc.comText us your feedback! (please note: we cannot respond through this channel)) I teach dentists how to make more money, work less, and create a team driven practice that runs itself. Join the DPH Hero Collective to Learn every single dental practice management tool you need to do it. You will get: ✓Comprehensive Training to increase profit and engagement in your practice✓Live Monthly Webinars to teach you how to run your practice✓Live Question and Answer Sessions to get you help when you need it✓A Community of practice owners to support and cheer you on✓System and Protocol Documents to Edit, to standardize your operations Visit www.DPHPod.com to Learn more.

This week in politics has been so massive, one MP's stunned response summed it up: “WTF?” In the span of five days, the finance minister resigned; a growing list of Liberal MPs called on Prime Minister Justin Trudeau to quit; the federal cabinet got shuffled; NDP Leader Jagmeet Singh vowed to bring down the government; and Conservative Leader Pierre Poilievre wrote to the Governor General to ask her to reconvene Parliament.On today's pod, a longtime Liberal MP calls for Trudeau to go. A minister explains why he thinks Trudeau should stay. Then, two columnists dissect whether Trudeau — and the country — can survive the turmoil. Finally, as Donald Trump and his supporters taunt Canada about becoming the 51st state, Catherine Cullen sits down with the departing American ambassador to Canada to discuss whether Canadians need to loosen up — or whether we deserve a little more respect.This episode features the voices of:Rob Oliphant, Liberal MP for Don Valley WestSteven MacKinnon, Minister of Employment, Workforce Development and LabourShannon Proudfoot, columnist for The Globe and MailPaul Wells, author and podcasterDavid Cohen, U.S. ambassador to Canada

Today marks the launch of The London Standard's 2024 Winter Appeal, in collaboration with Comic Relief. The campaign's aim is to help organisations in London and across the UK that support refugees and homeless people. In this episode we're joined by our campaigns editor, David Cohen, and CEO of Comic Relief, Samir Patel.We also hear of Claude's story. One of the organisations we are backing is The Running Charity, which uses the power of running to help both refugees and those who are homeless to build mental health, confidence and fitness — and where Claude now works as programme manager and head coach. The group will be given a grant of £50,000 to assist its work of mentoring more than 120 vulnerable people aged 16 to 25 each year.To make a donation, visit comicrelief.com/winter. Hosted on Acast. See acast.com/privacy for more information.

While there are reports of progress toward reaching a ceasefire deal with Lebanon, the main obstacle is that Hezbullah wants one that will allow them to recover while Israel wants to ensure that does not happen. Sarit Zahavi, founder and president of the Alma research and education center, said that Iran's decision to continue to support and enforce support for Hezbollah was making it difficult to reach a ceasefire. Speaking to reporter Arieh O'Sullivan, in the midst of rocket alert sirens in her hometown in the north, Zahavi said that Lebanon needed to change its relationship with Hezbollah, which currently is part of the government there. (photo: David Cohen/flash90)See omnystudio.com/listener for privacy information.

David Cohen (no relation) is the author of Book of Cohen which is the the story of a "famous singer and his not-so-famous lifelong New Zealand fan".

A podcast interview with David Cohen, the co-founder and CEO of Techstars, the startup accelerator, which has backed thousands of startups. In the episode, Cohen addresses recent criticism about its corporate culture and discusses startup trends in Europe and beyond in 2024.

Pt. 2 of Ryan and Jono discussing the epidemic of Mental Illness in this world, how Satan is using it, and what the bible has to say about it. Jeff Arnold article on Mindfulness: https://www.newsnationnow.com/health/mindfulness-effective-medication-treating-anxiety/ The Myth of Mental Illness - Thomas S. Szasz M.D. Your Drug May Be Your Problem - Peter R. Breggin, M.D., David Cohen, Ph. D.

In the middle of his exposition on Psalm 23, Bro. Jono and Ryan discuss Jono's latest sermon on Psalm 23:5. For the mental health resources discussed during the episode, see below. Jeff Arnold article on Mindfulness: https://www.newsnationnow.com/health/mindfulness-effective-medication-treating-anxiety/ The Myth of Mental Illness - Thomas S. Szasz M.D. Your Drug May Be Your Problem - Peter R. Breggin, M.D., David Cohen, Ph. D.

Twice a year over 500 birds fly through Israel on their migration routes and now the autumn migration of birds is currently underway. These include tens of thousands of Agur cranes, storkes and pelicans and are a wonderful site to see. The KKL-JNF is offering during the Sukkot holiday special bird tours, for free, for the whole family to see and learn about the birds passing through Israel. Reporter Arieh O'Sullivan spoke to Yaron Charka, the chief ornithologist of the KKL-JNF about the migration and where to see it. (photo: David Cohen/flash90)See omnystudio.com/listener for privacy information.

In this episode, James replays a live-stream pitch event from LinkedIn with Techstars CEO, David Cohen, giving three founders feedback on their pitches; he also shared the Techstars co-founder origin story. And finally, he and I talk about how to convert mentors to sponsors.  Connect with James on LinkedIn and share your thoughts. Because I'm a LinkedIn snob, please add a note to the connection request to let me know you heard me on the podcast to ensure your connection request is accepted.   Can't wait to hear from you! Be sure to stick around to the end for the dad joke. If you love the podcast, please subscribe to it on your fave podcast player, rate it, and leave a review. Also, please share it on social media.  P.S., If you're a tech entrepreneur looking for a co-founder, visit James' startup, Kabila, to download the co-founder matching app.  P.P.S., And check out James' book, The More You Hustle, The Luckier You Get: You CAN be a Successful ParentPreneur on Amazon, you will love it!

We're super excited to bring you yet another amazing guest to our #SLGMeetups. He's not a real estate broker, designer, or architect—he's a content creator and a highly successful consultant at Ama-Yi Consulting: his name is David Cohen.

Reed Smith and its lawyers have used machine-assisted case preparation tools for many years (and it launched the Gravity Stack subsidiary) to apply legal technology that cuts costs, saves labor and extracts serious questions faster for senior lawyers to review. Partners David Cohen, Anthony Diana and Therese Craparo discuss how generative AI is creating powerful new options for legal teams using machine-assisted legal processes in case preparation and e-discovery. They discuss how the field of e-discovery, with the help of emerging AI systems, is becoming more widely accepted as a cost and quality improvement. ----more---- Transcript: Intro: Hello, and welcome to Tech Law Talks, a podcast brought to you by Reed Smith's Emerging Technologies Group. In each episode of this podcast, we will discuss cutting-edge issues on technology, data, and the law. We will provide practical observations on a wide variety of technology and data topics to give you quick and actionable tips to address the issues you are dealing with every day.  David: Hello, everyone, and welcome to Tech Law Talks and our new series on AI. Over the the coming months, we'll explore the key challenges and opportunities within the rapidly evolving AI landscape. Today, we're going to focus on AI in eDiscovery. My name is David Cohen, and I'm pleased to be joined today by my colleagues, Anthony, Diana, and Therese Craparo. I head up Reed Smith's Records & eDiscovery practice group, big practice group, 70 plus lawyers strong, and we're very excited to be moving into AI territory. And we've been using some AI tools and we're testing new ones. Therese, I'm going to turn it over to you to introduce yourself.  Therese: Sure. Thanks, Dave. Hi, my name is Therese Craparo. I am a partner in our Emerging Technologies Group here at Reed Smith. My practice focuses on eDiscovery, digital innovation, and data risk management. And And like all of us, seeing a significant uptick in the interest in using AI across industries and particularly in the legal industry. Anthony?  Anthony: Hello, this is Anthony Diana. I am a partner in the New York office, also part of the Emerging Technologies Group. And similarly, my practice focuses on digital transformation projects for large clients, particularly financial institutions. and also been dealing with e-discovery issues for more than 20 years, basically, as long as e-discovery has existed. I think all of us have on this call. So looking forward to talking about AI.  David: Thanks, Anthony. And my first question is, the field of e-discovery was one of the first to make practical use of AI in the form of predictive coding and document analytics. Predictive coding has now been around for more than two decades. So, Teresa and Anthony, how's that been working out?  Therese: You know, I think it's a dual answer, right? It's been working out incredibly well, and yet it's not used as much as it should be. I think that at this stage, the use of predictive coding and analytics in e-discovery is pretty standard, right? Right. As Dave, as you said, two decades ago, it was very controversial and there was a lot of debate and dispute about the appropriate use and the right controls and the like going on in the industry and a lot of discovery fights around that. But I think at this stage, we've really gotten to a point where this technology is, you know, well understood, used incredibly effectively to appropriately manage and streamline e-discovery and to improve on discovery processes and the like. I think it's far less controversial in terms of its use. And frankly, the e-discovery industry has done a really great job at promoting it and finding ways to use this advanced technology in litigation. I think that one of the challenges is that still is that while the lawyers who are using it are using it incredibly effectively, it's still not enough people that have adopted it. And I think there are still lawyers out there that haven't been using predictive coding or document analytics in ways that they could be using it to improve their own processes. I don't know, Anthony, what are your thoughts on that?  Anthony: Yeah, I mean, I think to reiterate this, I mean, the predictive coding that everyone's used to is it's machine learning, right? So it's AI, but it's machine learning. And I think it was particularly helpful just in terms of workflow and what we're trying to accomplish in eDiscovery when we're trying to produce relevant information. Information, machine learning made a lot of sense. And I think I was a big proponent of it. I think a lot of people are because it gave a lot of control. The big issue was it allowed, I would call, senior attorneys to have more control over what is relevant. So the whole idea is you would train the model with looking at relevant documents, and then you would have senior attorneys basically get involved and say, okay, what are the edge cases? It was the basic stuff was easy. You had the edge cases, you could have senior attorneys look at it, make that call, and then basically you would use the technology to use what I would say, whatever you're thinking in your brain, the senior attorney, that is now going to be used to help determine relevance. And you're not relying as much on the contract attorneys and the workflow. So it made a whole host of sense, frankly, from a risk perspective. I think one of the issues that we saw early on is everyone was saying it was going to save lots of money. Didn't really save a lot of money, right? Partly because the volumes went up too much, partly because, you know, the process, but from a risk perspective, I thought it was really good because I think you were getting better quality, which I think was one of the things that's most important, right? And I think this is going to be important as we start talking about AI generally is, and in terms of processes, it was a quality play, right? It was, this is better. It's a better process. It's better managing the risks than just having manual review. So that was the key to it, I think. As we talked about, there was lots of controversy about it. The controversy often stemmed from, I'll call it the validation. We had lots of attorneys saying, I want to see the validation set. They wanted to see how the model was trained. You have to give us all the documents and train. And I think generally that fell by the wayside. That really didn't really happen. One of the keys though, and I think this is also true for all AI, is the validation testing, which Teresa touched upon, that became critical. I think people realized that one of the things you had to do as you're training the model and you started seeing things, you would always do some sampling and do validation testing to see if the model was working correctly. And that validation testing was the defensibility that courts, I think, latched on on. And I think when we start talking about Gen AI, that's going to be one of the issues. People are comfortable with machine learning, understand the risks, understand, you know, one of the other big risks that we all saw as part of it was the data set would change, right? You have 10 custodians, you train the model, then you got another 10 custodians. Sometimes it didn't matter. Sometimes it really made a big difference and you had to retrain the model. So I think we're all comfortable with that. I think as Therese said, it's still not as prevalent as you would have imagined, given how effective it is, but it's partly because it's a lot of work, right? And often it's a lot of work by, I'll say, senior attorneys instead of developing it, when it's still a lot easier to say, let's just use search terms, negotiate it, and then throw a bunch of contract attorneys on it, and then do what you see. It works, but I think that's still one of the impediments of it actually being used as much as we thought.  Therese: And I think to pick up on what Anthony is saying, what I think is really important is we do have 20 years of experience using AI technology in the e-discovery industry. So much has been learned about how you use those models, the appropriate controls, how you get quality validation and the like. And I think that there's so much to use from that in the increasing use of AI in e-discovery, in the legal field in general, even across organizations. There's a lot of value to be had there of leveraging the lessons learned and applying them to the use of the emerging types of AI that we're seeing that I think we need to keep in mind and the legal field needs to keep in mind that we know how to use this and we know how to understand it. We know how to make it defensible. And I think as we move forward, those lessons are going to serve us really well in facilitating, you know, more advanced use of AI. So in thinking about how the changes may happen going forward, right, as we're looking forward, how do we think that generative AI based on large language models are going to change e-discovery in the future?  Anthony: I think there, in terms of how generative AI is going to work, I have my doubts, frankly, about how effective it's going to be. We all know that these large language models are basically based on billions, if not trillions of data points or whatever, but it's generic. It's all public information. That's how the model is based. One of the things that I want to see as people start using generative AI and seeing how it would work, is how is that going to play when we're talking about very, it's confidential information, like almost all of our clients that are dealing with e-discovery, all this stuff's confidential. It's not stuff that's public. So I understand the concept if you have a large language model that is billions and billions of data points or whatever is going to be exact, but it's a probability calculation, right? It's basically guessing what the next answer is going going to be, the next word is going to be based on this general population, not necessarily on some very esoteric area that you may be focused on for a particular case, right? So I think it remains to be seen of whether it's going to work. I think the other area where I have concerns, which I want to see, is the validation point. Like, how do we show it's defensible? If you're going in and telling a court, oh, I use Gen AI and ran the tool, here's the relevant stuff based on prompts, what does that mean? How are we going to validate that? I think that's going to be one of the keys is how do we come up with a validation methodology that will be defensible that people will be comfortable with? Again, I think intuitively machine learning was I'm training the model on what a person, a human being deemed is responsive. So that. Frankly, it's easier to argue to a court. It's easier to explain to a regulator. When you say, I came up with prompts based on the allegations of the complaint or whatever, it's a little bit more esoteric, and I think it's a little bit harder for someone to get their heads around. How do you know you're getting relevant information? So, I think there's some challenges there. I don't know how that's going to play out. I don't know, Dave, because I know you're testing a lot of these tools, what you're seeing in terms of how we think this is actually going to work in terms of using generative AI in these large language models and moving away from the machine learning.  David: Yeah, I agree with you on the to be determined part, but I think I come in a little bit more optimistic and part of it might be, you know, actually starting to use some of these tools. I think that predictive coding has really paved the way for these AI tools because what held up predictive coding to some extent was people weren't sure that courts were going to accept it. Until the first opinions came out, Judge Peck's decision and the Silvermore and subsequent case decisions, there was concern about that. But once that precedent came out, and it's important to emphasize that the precedent wasn't just approving predictive coding, it was approving technology-assisted review. And this generative AI is really just another form of technology-assisted review. And what it basically said is you have to show that it's valid. You have to do this validation testing. But the same validation testing that we've been doing to support predictive coding will work on the large language model generative AI-assisted coding. It's essentially you do the review and then you take a sample and you say, well, was this review done well? Did we hit a high accuracy level? The early testing we're doing is showing that we are hitting even better accuracy levels than with predictive coding alone. And I should say that it's even improved in the six months or so that we've been testing. The companies that are building the software are continuing to improve it. So I am optimistic in that sense. But many of these products are still in development. The pricing is still either high or to be announced in some cases. And it's not clear yet that it will be cost effective beyond current models of using human review and predictive coding and search terms. And they're not all mutually exclusive. I mean, I can see ultimately getting to a hybrid model where we still may start with search terms to cut down on volume and then may use some predictive coding and some human review and some generative AI. Ultimately, I think we'll get to the point where the price point comes down and it will make review better and cheaper. Right. But I also didn't want to mention, I see a couple other areas of application in eDiscovery as well. The generative AI is really good at summarizing single large documents or even groups of documents. It's also extremely helpful in more quickly identifying key documents. You can ask questions about a whole big document population and get answers. So I'm really excited to see this evolution. And I don't know when we're going to get there and what the price effectiveness point is going to be. But I would say that in the next year or two, we're going to start seeing it creep in and use more and more effectively, more and more cost effectively as we go forward.  Anthony: Yeah, that's fascinating. Yeah, I can see that even in terms of document review. If a human was looking at it, if AI is summarizing the document, you can make your relevance determination based on the summary. Again, we can all talk about whether it's appropriate or not, but that would probably help quite a bit. And I do think that's fascinating. I know another thing I hear is the privilege log stuff. And again, I think using AI, generative AI to draft privilege logs in concept sounds great because obviously it's a big costs factor and the like. But I think we've talked about this, Dave and Therese, like we already have, like there's already tools available, meaning you can negotiate metadata logs and some of these other things that cut the cost down. So I think it remains to be seen. Again, I think this is going to be like another arrow in your quiver, a tool to use, and you just have to figure out when you want to use it.  Therese: Yeah. And I think one of the things I think in not limiting ourselves to only thinking about, right, document review, where there's a lot of possibility with generative AI, right, witness kits, putting together witness outlines for depositions and the like, right? Not that we would ever just rely on that, but there's a huge opportunity there, I think, as a starting point, right? Just like if you're using it appropriately. And of course, today's point, the price point is reasonable, you can do initial research. There's a lot of things that I think that it can do in the discovery realm, even outside of just document review, that I think we should keep our minds open to because it's a way of giving us a quicker, getting to the base more quickly and more efficiently and frankly, more cost-effectively. And then you can take a look at that and the person and can augment that or build upon it to make sure it's accurate and it's appropriate for that particular litigation or that particular witness and the like. But I do think that Dave really hit the nail on the head. I don't think this is going to be, we're only going to be moving to generative AI and we're going to abandon other types of AI. There's reasons why there's different types of AI is because they do different things. And I think what we are most likely to see is a hybrid. Right. Right. Some tools being used for something, some tools being used for others. And I think eventually, as Dave already highlighted, the combination of the use of different types of AI in the e-discovery process and within the same tool to get to a better place. I think that's where we're most likely heading. And as Dave said, that's where a lot of the vendors are actually focusing is on adding into their workflow this additional AI to improve the process.  David: Yeah. And it's interesting that some of the early versions are not really replacing the human review. They are predicting where the human review is going to come out. So when the reviewer looks at the document, it already tells you what the software says. Is it relevant or not relevant? And it does go one step beyond. It's hard because it not only tells you the prediction of whether it's relevant or not, but it also gives you a reason. So it can accelerate the review and that can create great cost savings. But it's not just document review. Already, there's e-discovery tools out there that allow you to ask questions, query databases, but also build chronologies. And again, with that benefit, then referencing you to certain documents and in some cases having hyperlinks. So it'll tell you facts or it'll tell you answers to a question and it'll link back to the documents that support those answers. So I think there's great potential as this continues to grow and improve.  Anthony: Yeah. And I would say also, again, let's think about the whole EDRM model, right? Preservation. I mean, we'll see what enterprises do, but on the enterprise side, using AI bots and stuff like that for whether it's preservation, collection and stuff, it'll be very interesting to see if these tools can be used there to sort of automate some of the standard workflows before we get to the review and the like, but even on the enterprise side. The other thing that I think it will be interesting, and I think this is one of the areas where we still have not seen broad adoption, is on the privilege side. We know and we've done some analysis for clients where privilege or looking for highly sensitive documents and the like is still something that most lawyers aren't comfortable using. Using AI, don't know why I've done it and it worked effectively, but that is still an area where lawyers have been hesitant. And it'll be interesting to see if gender of AI and the tools there can help with privilege, right? Whether it's the privilege logs, whether it's identifying privilege documents. I think to your point, Dave, having the ability to say it's privileged and here's the reasons would be really helpful in doing privilege review. So it'll be interesting to see how AI works in that sphere as well, because it is an area where we haven't seen wide adoption of using predictive coding or TAR in terms of identifying privilege. And that's still a major cost for a lot of clients. All right, so then I guess where this all leads to is, and this is more future-oriented. Do we think we're at this stage now that we have generative AI that there's a paradigm shift, right? Do we think there's going to be a point where even, you know, we didn't see that paradigm shift bluntly with predictive coding, right? Predictive coding came out, everyone said, oh my God, discovery is going to change forever. We don't need contract attorneys anymore. You know, associates aren't going to have anything to do because you're just going to train the model, it goes out. And that's clearly hasn't happened. Now people are making similar predictions with the use of generative AI. We're now not going to need to do docker view, whatever. And I think there is concern, and this is concern just generally in the industry, is this an area, since we're already using AI, where AI can take over basically the discovery function, where we're not necessarily using lots of lawyers and we're relying almost exclusively on AI, whether it's a combination of machine learning or if it's just generative AI. And they're doing lots of work without any input or very little input from lawyers. So I'll start with Dave there. What are your thoughts in terms of where do we see in the next three to five years? Are we going to see some tipping point?  David: Yeah, it's interesting. Historically, there's no question that predictive coding did allow lawyers to get through big document populations faster and for predictions that it was going to replace all human review. And it really hasn't. But part of that has been the proliferation of electronic data. There's just more data than ever before, more sources of data. It's not just email now. It's Teams and texts and Slack and all these different collaboration tools. So that increase in volume is partially made up for the increase in efficiency, and we haven't seen any loss of attorneys. I do think that over the longer run that there is more potential for the Gen AI to replace replace attorneys who do e-discovery work and, frankly, to replace lawyers and other professionals and all other kinds of workers eventually. I mean, it's just going to get better and better. A lot of money is being invested in. I'm going to go out on a limb and say that I think that we may be looking at a whole paradigm shift in how disputes are resolved in the future. Right now, there's so much duplication of effort. If you're in litigation against an opposing party, You have your documents set that your people are analyzing at some expense. The other side has their documents set that their people are analyzing at some expense. You're all looking for those key documents, the needles in the haystack. There's a lot of duplicative efforts going on. Picture a world where you could just take all of the potentially relevant documents. Throw them into the pot of generative AI, and then have the generative AI predetermine what's possibly privileged and lawyers can confirm those decisions. But then let everyone, both sides of court, query that pot of documents to ask, what are the key questions? What are the key factual issues in the case? Please tell us the answers and the documents that go to those answers and cut through a lot of the document review and document production that's going on now that frankly uses up most of the cost of litigation. I think we're going to be able to resolve disputes more efficiently, less expensively, and a lot faster. And I don't know whether that's five years into the future or 10 years into the future, but I'll be very surprised if our dispute resolution procedure isn't greatly affected by these new capabilities. Pretty soon, I think, when I say pretty soon, I don't know if it's five years or 10 years, but I think judges are going to have their AI assistance helping them resolve cases and maybe even drafting first drafts of court opinions as well. And I don't think it's all that far off into the future that we're going to start to see them.  Therese: I think I'm a little bit more skeptical than Dave on some of this, which is probably not surprising to either Dave or to to Anthony on this one. Look, I think, I don't see AI as a general rule replacing lawyers. I think it will change what lawyers do. And it may replace some lawyers who don't keep pace with technology. Look, it's very simple. It's going to make us better, faster, more efficient, right? So that's a good thing. It's a good thing for our clients. It's a good thing for us. But the idea, I think, to me, that AI will replace the judgment and the decision-making or the results of AI is going to replace lawyers and I think is maybe way out there in the future when the robots take over the world. But I do think it may mean less lawyers or lawyers do different things. Lawyers that are well-versed in technology and can use that are going to be more effective and are going to be faster. I think that. You're going to see situations where it's expected to be used, right? If AI can draft an opinion or a brief in the first instance and save hours and hours of time, that's a great thing. And that's going to be expected. I don't see that being ever being the thing that gets sent out the door because you're going to still need lawyers who are looking at it and making sure that it is right and updating it and making sure that it's unique to the case and all the judgments that go into those things are appropriate. I do find it difficult to imagine a world having, you know, been a litigator for so many years where everyone's like, sure, throw all the documents in the same pod and we'll all query it together. Maybe we'll get to that point someday. I find it really difficult to imagine that'll happen. There's too much concern about the data and control over the data and sensitivity and privilege and all of those things. You know, we've seen pockets of making data available through secure channels so that you're not transferring them and the like, where it's the same pool of data that would otherwise be produced, so that maybe you're saving costs there. But I don't, again, I think it'll be a paradigm shift eventually in that, paradigm shift that's been a long time coming, though, I think, right? We started using technology to improve this process years ago. It's getting better. I think we will get to a point where everyone routinely more heavily relies on AI for discovery and that that is not the predictive coding or the tar for the people who know how to use it, but it is the standard that everybody uses. I do think, like I said, it will make us better and more efficient. I don't see it really replacing, like I said, entirely lawyers or that will be in a world where all the data just goes in and gets spit out and you need one lawyer to look at it and it's fine. But again, I do think it will change the way we practice law. And in that sense, I do think it'll be a paradigm shift.  Anthony: The final thought is, I think I tend to be, I'm sort of in the middle, but I would say generally we know lawyers have big egos, and they will never allow, they will never think that a computer, AI tool or whatever, is smarter than they are in terms of determining privilege or relevance, right? I mean, I think that's part of it is, there's, you know, you have two lawyers in a room, they're going to argue about whether something is relevant. You have two lawyers in a room, they're going to argue about something privileged. So it's not objective, right? There's subjectivity. And I think that's going to be one of the chances. And I think also, we've seen it already. Everyone thought. Every lawyer who's a litigator would have to be really well-versed in e-discovery and all the issues that we deal with. That has not happened. And I don't see that changing. So unless I'm less concerned about being a paradigm shift than all of us going out for those reasons.  David: Well, I think everyone needs to tune back in on July 11th, 2029 when we come back to get stuff to begin and see who we're going.  Anthony: Yes, absolutely. All right. Thanks, everybody.  David: Thank you.  Outro: Tech Law Talks is a Reed Smith production. Our producers are Ali McCardell and Shannon Ryan. For more information about Reed Smith's emerging technologies practice, please email techlawtalks@reedsmith.com. You can find our podcasts on Spotify, Apple Podcasts, Google Podcasts, reedsmith.com and our social media accounts.  Disclaimer: This podcast is provided for educational purposes. It does not constitute legal advice and is not intended to establish an attorney-client relationship, nor is it intended to suggest or establish standards of care applicable to particular lawyers in any given situation. Prior results do not guarantee a similar outcome. Any views, opinions, or comments made by any external guest speaker are not to be attributed to Reed Smith LLP or its individual lawyers.  All rights reserved. Transcript is auto-generated.

Less than 100 days until an unprecedented American election, U.S. Ambassador to Canada David Cohen discusses U.S./Canada trade disputes, illegal immigration, a belligerent China, and NATO spending promises.The Hub Dialogues features The Hub's editor-at-large, Sean Speer, in conversation with leading entrepreneurs, policymakers, scholars, and thinkers on the issues and challenges that will shape Canada's future at home and abroad.If you like what you are hearing on Hub Dialogues consider subscribing to The Hub's free weekly email newsletter featuring our insights and analysis on key public policy issues. Sign up here: https://thehub.ca/join/. Hosted on Acast. See acast.com/privacy for more information.

In this episode of That Annuity Show, the discussion revolves around the evolving landscape of workplace marketing for brokers, producers, and advisors in the insurance industry. The guests, Ash Rofail, Yuval Sternshos, and David Cohen, the management team of OneKonnect, discuss the role of technology, data, and AI in improving the user experience, optimizing benefits, and increasing sales in the insurance industry. They highlight the importance of automation, data monitoring, and predictive analytics in identifying life-changing events and offering relevant products to customers. The conversation also touches on the challenges faced by carriers in implementing technological changes and the need for a mindset shift towards focusing on existing clients. Takeaways Technology, data, and AI are playing a crucial role in improving the user experience and optimizing benefits in the insurance industry. Automation and data monitoring can help identify life-changing events and offer relevant products to customers at the right time. Carriers need to overcome challenges such as siloed data and legacy systems to implement technological changes and provide better insights to producers and brokers. The focus should shift towards existing clients, offering better well-being solutions, educational tools, and personalized recommendations. Adoption of technology is essential for brokers, producers, and advisors to stay competitive and provide a seamless experience to their customers. Listen to this and more episodes at  

Miami is experiencing steady and comparatively outsized growth, with strategically located Opportunity Zones offering new avenues for investment and development. Liam Krahe and David Cohen, co-founders of the South Florida QOZ Fund, join the show to discuss the challenges and opportunities of investing in Miami's rapidly evolving urban landscape. Show notes & transcript: https://opportunitydb.com/2024/08/liam-krahe-david-cohen-311/

In this episode of the Give First podcast, hosts David Cohen is joined by Kevin Nortker, CEO and co-founder of Ampaire. Kevin shares his journey from aspiring astronaut and NASA engineer to leading a revolutionary Techstars-backed company.Ampaire is advancing hybrid electric aviation, aiming to cut aircraft fuel usage by 50-70%, addressing both environmental and economic issues in the aviation sector. Kevin discusses the concept of 'invariant milestones' for setting and achieving ambitious goals, the challenges of blending the automotive and aviation industries, and the importance of resilient, mission-driven leadership. The episode also covers Ampaire's fundraising journey, strategic decisions, and Kevin's commitment to the entrepreneurial community.Follow David Cohen on Twitter @davidcohenListen & subscribe to the Give First podcast on Apple Podcasts, Spotify, and more. Hosted on Acast. See acast.com/privacy for more information.

In the aftermath of COVID, there was a massive boom in dental practice transactions. The market finally corrected itself in 2023. And while doctor-to-doctor private sales remained consistent, DSO sales slowed dramatically.So, what caused these market trends? What does the market look like so far in 2024? And how will understanding trends help you make informed decisions as you buy or sell your own dental practice?David Cohen is Managing Attorney at Cohen Law Firm, a legal practice with a unique focus on dentists and dental specialists. His team does between 300 to 400 practice transactions nationwide every year.On this episode of the Dental Board Room Podcast, David joins host Drew Phillips to discuss how the DSO and private practice markets have evolved since 2020.David shares his process for helping clients decide between DSO versus private practice deals and describes how deal terms are changing on the DSO end in 2024. Listen in to understand what's behind the uptick in private partnerships in recent months and learn how to make the best decision for selling your dental practice based on your circumstances and current market trends.Topics CoveredHow David's family background inspired his work with dentistsHow the DSO and private practice markets have evolved from 2020 to presentHow David helps clients decide between private and DSO dealsHow DSO deal terms are changing to favor the DSODavid's insight on the uptick in both private partnerships and 100% salesWhat's behind the rise of workbacks in private practice salesConnect with David CohenCohen Law FirmPractice Transitions [R]evolution Facebook GroupCohen Property Law GroupConnect with Wes Read & Drew PhillipsPractice OrbitEmail wes@practiceorbit.com or drew@practiceorbit.com Practice CFOPractice CFO on InstagramPractice CFO on FacebookPractice CFO on YouTubeResources Seattle Study Club

David Cohen is one of the smartest docs on Twitter. I learned a bunch talking with him. The procedure called transcatheter aortic valve implantation or TAVR is a damn miracle. In days of old, a heart surgeon would have to saw open the chest and cut out the heavily calcified immobile aortic valve and sew in a new one. I watched a case as a young doctor and came away shocked that patients survive this surgery. TAVR is even more stunning. Doctors place a valve up the aorta, across the diseased valve, and then place the new valve into the old valve. The verbs squishing or smooshing come to mind. The other unbelievable thing about TAVR is that strokes are less common than you'd think. When I first heard about TAVR, I thought: how is it not limited by all that debris going into the brain? Well, there is less debris than I would have thought. But not zero debris. In fact, there is one device on the market that forms a barrier between the aorta and the brain. We call it an embolic protection device (EPD) or cerebral embolic protection (CEP).Early studies show that the device catches debris that would have occluded blood vessels in the brain—iow, caused stroke. The pictures almost sell the device—because, obviously, catching debris has to be beneficial. But. But. There are always ‘but's' in Medicine. The PROTECTED TAVR trial, which compared TAVR with and without an embolic protection device failed to show a statistically significant reduction in stroke. It was a good trial, but it did not close the door for the device. For two reasons: one was that the trial was underpowered. The lower bound of the 95% confidence interval allowed for a 1.7% lower rate of stroke in the treatment arm. Neurologists feel that a 1% risk reduction in stroke is clinically important. The other reason was that a secondary endpoint of “disabling” stroke was 60% lower with the device. We needed more data. Another trial is not likely going to happen. Trials are expensive and take a long time. This is where Dr Cohen's group comes in. They performed an observational study looking at more than 400k patients in a TAVR registry. About 13% got the device and 87% did not. This is where Sensible Medicine readers should start feeling a rash. Why? Because you know how scary it is to try and compare outcomes in two groups of patients who were not randomized. Cohen, however, tells me about a super-interesting way to approximate randomization in this comparison. It's called an instrumental variable analysis. He explains this to me in clear terms during our conversation. I love methods so I was enthralled. But that isn't all. The other thing is that his study, like the PROTECTED TAVR trial, came up with tantalizing close results. We discuss that as well. I loved our talk. If you like evidence, methods, and great medical stories, I think you will also like this conversation. JMMIt's free to all. We appreciate your support for this experiment in bringing ad-free medical information to the public. Sensible Medicine is a reader-supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.sensible-med.com/subscribe

A special investigation from The Standard has uncovered the horrifying reality of misogyny and how it's impacting women and girls.Teenage girls, aged between 13-15, say they are victims of sexual harassment every day - online, in the street, and even in the classroom. David Cohen, our investigations Editor and Campaigns Editor, went into some London schools to find out what exactly is happening, and how we can make our women and girls feel safe.For all the latest news head to www.standard.co.uk or pick up a newspaper.Follow us on X or on Threads. Hosted on Acast. See acast.com/privacy for more information.

In this episode of the Give First podcast, David Cohen speaks with Marc Steren, Cofounder and Co-CEO of University Startups. The two discuss the entrepreneurial journey and the transformative impact of education. Mark offers insights into his 30-year entrepreneurial career, from pioneering mobile ticketing to selling his company in 2012, and transitioning to education as a professor at Georgetown University. He also recounts the unexpected success and eventual founding of University Startups, an AI-augmented curriculum designed to empower under-resourced students by providing pathways to higher education and career success through virtual generative AI counselors.The conversation covers the importance of being mission-focused for startup success, the value of running numerous small experiments, and the impact of having celebrity investors like Steven Spielberg and Michael Jordan. Cohen and Mark also take time to explore the challenges and opportunities within the current educational system, the need for reform, and the unique approach of University Startups in democratizing access to quality education.Follow David Cohen on Twitter @davidcohenListen & subscribe to the Give First podcast on Apple Podcasts, Spotify, and more. Hosted on Acast. See acast.com/privacy for more information.

In this third episode of "The Bottom Line" Season 1, Caleb Kline sits down with David, a seasoned entrepreneur and co-founder of Techstars, a renowned startup accelerator. With a wealth of experience under his belt, David shares anecdotes from his journey through the startup world, reflecting on the highs and lows of building successful ventures like Pinpoint Technologies, iContact.com, and Earfeeder.

Emma Bates, co-founder of Diem, is reshaping the way women search the internet. Diem is a social search engine designed to provide women with trustworthy, community-driven results. In this episode of Give First, Emma talks about her journey building Diem, starting with her experience in the Techstars accelerator and the inspiration behind her women-centric approach to search.Emma dives into the challenges of fundraising as a female founder, sharing hard-earned insights on overcoming bias in venture capital. “Fundraising is a game,” Bates explains in her strategies for navigating investor interactions and the importance of staying focused amidst a sometimes discouraging landscape.Listeners will also hear the inside story of Diem's $3.7 million funding round, and the details behind a challenging experience that highlights the gender disparities that still exist in the VC world. Emma's candid discussion with David Cohen offers valuable guidance for any entrepreneur seeking investment.Follow David Cohen on Twitter @davidcohenFollow Emma Bates on Instagram @emmashbates Hosted on Acast. See acast.com/privacy for more information.

Chartered Series: Captain David Cohen in Miami, FL