Podcasts about prescient

Tariffs are back in the headlines—so what should Christians make of them? Economist Dr. Kenneth Barnes joins us to unpack how trade policies, rising prices, and global tensions intersect with our everyday work and Gospel witness. In a world where economic headlines stir fear, we explore how the gospel reframes our perspective and response. This timely conversation will challenge you to think biblically about policy, productivity, and peace. Do you like The Faith & Work Podcast? Be sure to subscribe! Now available on iTunes and Spotify. HIGHLIGHTS  On Economies of Mutuality "That has also uniquely given us the ability to create technology. And that's important because it's technology that ultimately creates wealth. And so what we do with that and how we treat our neighbors... all comes down to our means of exchange. And if our means of exchange is fair, if it's just, if it's genuinely relational and mutual, everybody benefits." On God's Vision for the Economy Ross Chapman: "If you had to summarize God's vision for economics in a sentence or two, what would it be? How could you make that as clear and understandable based on scripture? What would you say that is?" Dr. Kenneth Barnes: "I would say: Just Flourishing." RESOURCES  Download the Episode Transcript Here Books By Dr. Barnes:  NEW - Sabbath as Resilience: Spiritual Refreshment for a Stressed-Out World Redeeming Capitalism Economic Wisdom Project Free Denver Institute Download - Deep Rest: A Study of Sabbath Harvard Study on Flourishing - Explore the 6 Dimensions of Flourishing  QUOTES “It is not from the benevolence of the butcher, the brewer, or the baker, that we expect our dinner, but from their regard to their own interest.” - Adam Smith, The Wealth of Nations “God doesn't need your good works, but your neighbor does.” - Martin Luther DICTIONARY OF TERMS Worker par excellence: being an example of excellence; superior; preeminent Egality: a state of being essentially equal or equivalent; equally balanced Abberation: a departure from what is normal, usual, or expected, typically one that is unwelcome "Bretton Woods Agreement":The creation of a fixed currency exchange rate pegged to the gold standard Macheavellian: cunning, scheming, and unscrupulous, especially in politics Prescient: having or showing knowledge of events before they take place Impetus: the force or energy with which a body move  נוּחַ (nuach): The Hebrew word meaning "to rest" or "to be at rest". It can also imply settling down, remaining, or finding repose. 

Petri Redelinghuys from Herenya Capital Advisors on whether the selling is over or if he is still being cautious. Prescient's Tian Pan on China's response so far to the tariffs and whether they could come out stronger. Chipo Masawi from Absa CIB on their February Merchant Spend Analytics Report.

Prescient's Tian Pan mulls China's response to the trade war, saying: ‘What's encouraging is that on the Chinese side it appears all of their responses seem well planned in advance'.

In this episode of Honest Money, Warren Ingram and Rupert Hare, Head of Multi-Asset at Prescient, discuss the current state of global markets amidst political uncertainty and economic shifts. They explore historical parallels, the importance of valuations, and the need for diversification in investment strategies. The conversation highlights opportunities in fixed income, the rise of Japan as a market to watch, and the potential in South Africa despite its challenges. TakeawaysValuations always count. They always, always count.You get paid to take risk in investments.Bonds are offering such good yields.Diversification literally is the only free lunch in investing.We're seeing a structural shift in Japan.Investors should look at South Africa more objectively.It's important to remain objective.You can get exposure to all of these asset classes at extremely low cost.Learn more on how Prescient Investment Management can help you here. Send us a textHave a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

PLUS: Reforming the Conclave; this year's unpredictable Oscars; why novelist Rebecca Makkai is done blurbing other people's books; renowned choreographer David Dawson brings a reimagined Four Seasons to the National Ballet; and Riffed from the Headlines, our weekly musical news quiz.

KSL Sports Utah Hockey Club insider Cole Bagley joined DJ & PK to talk about the franchise after their loss to the Pittsburgh Penguins and a vote about their new identity pending.

#Londinium90AD: Gaius and Germanicus examine President Eisenhower's prescient farewell address and its vision for America's future, reflecting on his half-century of service to the nation. Michael Vlahos, Friends of History Debating Society. @Michalis_Vlahos" 1945 Ike, Patton POTUS

Suave Golf's Kyle Surlow and his partner-in-golf talk Steve Berger return to recap what's been happening in professional golf the past month, review the first two weeks of the TGL, and make some prescient predictions for the 2025 golf season. Nice Grass Nice People is proudly presented by Suave Golf Hosts: Kyle Surlow & Steve 'Beige' Berger

Today we'll be deep diving into one of five of the big themes in the Marketer's Toolkit 2025 for marketers in the US. Discussing the theme of capitalising on the economic reset with Joanna Seddon, managing director at Prescient and CEO of the Marketing Accountability Standards Board, and Ken Favaro, chief strategy officer at BERA.ai. The Marketer's Toolkit 2025 is here: the fourteenth edition of the report draws out five major trends that will define strategic planning, based on an extensive global survey of practitioners. WARC members can ⁠⁠read the full report here⁠⁠. If you're not yet a member, you can find a ⁠⁠sample of the report here⁠⁠.

#119: A celebration of the great and not so great people that left us last year. The lovely thing about obituaries is that they are a joyous remembrance for those that made the world a better place. Obituaries fill us with even more joy by reminding us that people who were evil can no longer inflict pain and suffering upon humanity. PLUS: A look back at Doomed Planet season 5, where we tackled unpleasant subjects such as the America's Most Wanted reboot, PornHub, the new Road House movie, Kamala's crusade of cringe, fentanyl voyeurism and Zapped - a story about aliens who assassinate bad people in a mission to help save the human race. Prescient! Doomed Planet - Obituaries for the Damned.  

Are you sure you know where your marketing dollars are making the biggest impact? In an omnichannel world, pinpointing where your ad spend is most effective is tougher than ever. What if you could use AI to make it easier? Welcome to today's episode, where we're discussing how to optimize marketing effectiveness through Marketing Mix Modeling, AI, and predictive analytics with Mike True, CEO & Co-Founder of Prescient AI. Today, we'll explore how to ensure your marketing dollars are delivering maximum return on investment and the role AI plays in getting it right. Mike True is the co-founder and CEO of Prescient. Prior to starting the company in 2019, Mike was responsible for helping clients of App Annie, IBM, and Oracle generate millions of dollars in revenue through the implementation of various artificial intelligence and analytics solutions. RESOURCES Prescient AI website: https://prescientai.com/ Wix Studio is the ultimate web platform for creative, fast-paced teams at agencies and enterprises—with smart design tools, flexible dev capabilities, full-stack business solutions, multi-site management, advanced AI and fully managed infrastructure. https://www.wix.com/studio Don't miss Medallia Experience 2025, March 24-26 in Las Vegas: Registration is now available: https://cvent.me/AmO1k0 Use code MEDEXP25 for $200 off registration Register now for HumanX 2025. This AI-focused event which brings some of the most forward-thinking minds in technology together. Register now with the code "HX25p_tab" for $250 off the regular price. Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Are you sure you know where your marketing dollars are making the biggest impact? In an omnichannel world, pinpointing where your ad spend is most effective is tougher than ever. What if you could use AI to make it easier? Welcome to today's episode, where we're discussing how to optimize marketing effectiveness through Marketing Mix Modeling, AI, and predictive analytics with Mike True, CEO & Co-Founder of Prescient AI. Today, we'll explore how to ensure your marketing dollars are delivering maximum return on investment and the role AI plays in getting it right. Mike True is the co-founder and CEO of Prescient. Prior to starting the company in 2019, Mike was responsible for helping clients of App Annie, IBM, and Oracle generate millions of dollars in revenue through the implementation of various artificial intelligence and analytics solutions. RESOURCES Prescient AI website: https://prescientai.com/ Wix Studio is the ultimate web platform for creative, fast-paced teams at agencies and enterprises—with smart design tools, flexible dev capabilities, full-stack business solutions, multi-site management, advanced AI and fully managed infrastructure. https://www.wix.com/studio Don't miss Medallia Experience 2025, March 24-26 in Las Vegas: Registration is now available: https://cvent.me/AmO1k0 Use code MEDEXP25 for $200 off registration Register now for HumanX 2025. This AI-focused event which brings some of the most forward-thinking minds in technology together. Register now with the code "HX25p_tab" for $250 off the regular price. Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Proactive's Tylah Tully breaks down ‘Just the Facts' of the latest news from Prescient Therapeutics Ltd (ASX:PTX, OTC:PSTTF). The company has received US FDA clearance to proceed with Phase 2 clinical trials for its Ras pathway inhibitor, PTX-100. This study will focus on relapsed and refractory cutaneous T-cell lymphomas (r/r CTCL). The decision follows the completion of a Phase 1b trial involving 19 T-cell lymphoma patients, which demonstrated an excellent safety profile and a 42% overall response rate. Among evaluable r/r CTCL patients, five of seven experienced clinical benefits. The global Phase 2 trial will enrol 115 patients across 15 sites in Australia, the US and Europe. It will consist of two parts: dose optimisation and efficacy assessments. Primary endpoints include objective response rate, with secondary metrics focusing on progression-free survival, overall survival, safety, and quality of life. The company describes FDA clearance as a transformative milestone, reflecting years of preclinical and clinical development. Prescient aims to collaborate with global CTCL experts to deliver a safe and effective therapy for this area of unmet need. The announcement drove a 55% surge in the company's shares. #ProactiveInvestors #PrescientTherapeutics #ASX #OTC #PTX100 #FDAApproval #ClinicalTrials #OncologyResearch #TCellLymphoma #CTCL #CancerTreatment #OrphanDrug #Phase2Trial #GlobalTrial #DrugDevelopment #MedicalInnovation #PatientCare #RasPathway #CutaneousLymphoma #BiotechNews #ClinicalResearch #ASXStocks #PharmaInnovation

In this episode, Warren Ingram and Michelle Green, Credit Analyst at Prescient, delve into the concept of ESG (Environmental, Social, and Governance) investing. They explore its significance in aligning investments with personal values, the interconnectedness of ESG factors, and the challenges posed by ESG ratings. They also addresses the future of ESG amidst skepticism and provide practical steps for investors looking to incorporate ESG principles into their investment strategies.TakeawaysESG stands for Environmental, Social, and Governance factors.Investing with ESG principles can lead to more resilient companies.The interconnectedness of ESG factors is crucial for holistic evaluation.Critiques of ESG ratings highlight the need for transparency and accountability.Long-term focus is essential for successful ESG investing.Investors should align their objectives with their values when considering ESG.Research shows that sustainable investing can outperform traditional methods.Engagement with companies is more effective than divestment in driving change.Understanding the methodology behind ESG ratings is vital for informed investing.Seeking financial advice can enhance understanding and options in ESG investing.Get more insight on how Prescient Investment Management can help you here.Send us a textHave a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

The future of online advertising. In it we cover co-pilot for marketers, brand ecosystems, disrupting ad agencies and a privacy first internet. Mike True is CEO of Prescient AI, a marketing technology company advancing the use of predictive AI models to maximize paid advertising efficiency and return on spend. Their technology works counter to how $700B in online ad spend is done today, by not relying on tracking users via cookies and instead building a platform to help marketers succeed when a privacy-first internet arises and cookies go away. With the most precise solution in the market Prescient can forecast future campaign performance across multiple channels three months out with a 90% level of accuracy. Calling over 100 iconic eCommerce brands as their customers Prescient has raised $20M from VC firms such as Headline, Blumberg, as well as the first check from us here at focal. CEO Mike True has been helping brands take advantage of AI and analytics solutions throughout his career prior to starting Prescient, working at IBM, Oracle, and App Annie. Mike has become a great friend and a founder held in high-regard as reshaping the online advertising industry. Sign up for new podcasts and our newsletter, and email me on danieldarling@focal.vcSee omnystudio.com/listener for privacy information.

Shaun Dendere from Trive SA unpacks the market's reaction to Nampak's update and Anglo American's sale of 6.6% of Amplats – does Amplats still hold an investment case? Absa CIB's Premeshin Naidoo discusses how new energy vehicles could revolutionise SA's auto industry. Conway Williams from Prescient highlights key insights from their 2024 Responsible Investing Report and its importance for investors.

‘We try to ensure that those sustainability-type factors actually influence what we buy, what we sell, our portfolio construction and risk management': Conway Williams, head of credit at Prescient.

Revisiting a guest opinion from the legendary Spike Horrigan about last year's disclosure of a major financial problem.

In this episode, Warren Ingram and Rupert Hare, Head of Multi-Asset at Prescient, discuss the significance of balanced funds in investment portfolios, particularly for retirement planning. They explore the structure of balanced funds, emphasizing their role in providing diversification across various asset classes. The discussion also covers the importance of understanding market volatility, the long-term focus required for successful investing, and the tax implications associated with balanced funds. TakeawaysBalanced funds are essential for most investors' portfolios.They provide diversification across various asset classes.Investors should expect market volatility with balanced funds.Long-term focus is crucial for successful investing.Tax efficiency is a significant advantage of balanced funds.Understanding the risk-return profile is vital for investors.Fees can significantly impact investment returns over time.Diversification helps mitigate risks associated with market fluctuations.Investors should not panic during short-term market downturns.A balanced approach is key to achieving retirement goals.Get more insight on how Prescient Investment Management can help you here.Send us a textHave a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

Subscribe to the podcast Car comes back on the show to talk about the Bitcoin's current run and what to expect in a post-election Trump victory. Follow Car on Twitter: @TLE_Car Learn about Bitcoin at a trickleBitcoinTrickle.com SponsorLiberty Mugs Keep in touch with us everywhere you areJoin our Telegram groupLike us on FacebookFollow us on Twitter: @libertymugs (Rollo), @Slappy_Jones_2Check us out on Patreon Learn everything you need to know about Bitcoin in just 10 hours10HoursofBitcoin.comPodcast version

Gary Booysen from Rand Swiss discusses whether Shoprite is dominating food retail in South Africa. Investec's Tertia Jacobs highlights key points to watch in the upcoming Mid-Term Budget Policy Statement. Prescient's Bastian Teichgreeber examines the potential market volatility surrounding next week's US election and its implications for South African investors.

Prescient's Bastian Teichgreeber considers the possible implications for South African investors.

Send us a textImagine the confidence you'll gain by making informed, forward-looking decisions and forecasting with accuracy using machine learning. We discuss the shift from granular metrics to a grander perspective that focuses on your marketing efficiency ratio—knowledge that can keep your brand ahead of the curve.In this episode, Jordan West with guest Michael Churm, the co-founder and CEO of Prescient AI. Michael brings his rich tech experience from Oracle, IBM, and App Annie to share how Prescient AI is revolutionizing marketing measurement. We explore the transformative impact of AI in navigating post-iOS 14.5 challenges, the role of multi-touch attribution, and the importance of understanding ad spend's impact on revenue. Listen and learn in this episode!Key takeaways from this episode:Adaptation to Modern Challenges: Prescient AI offers cookie-free analytics, updating marketing mix models to tackle privacy changes like iOS 14.5.AI's Role: AI helps solve measurement issues and tracks ad spend impact across channels for a comprehensive marketing view.AOV's Impact: Average Order Value affects ad attribution, with platforms like TikTok and Pinterest creating halo effects, complicating immediate measurement.Multi-Platform Strategy: Scaling brands should diversify media beyond Meta and Google to include CTV, podcasts, and TikTok Shop.Evolving Attribution Models: Machine learning-driven models offer dynamic, daily insights, improving on traditional infrequent models.Beyond ROAS: Jordan West argues advanced tools provide deeper insights than ROAS, especially for brands with larger ad budgets.TikTok Attribution: TikTok Shop enhances attribution, but high AOV items remain challenging due to longer decision cycles.Calls to Action: Michael Churm urges brands to consult with analytics vendors for scaling and emphasizes selecting the right partner.Today's Guest: Michael True, the co-founder and CEO of Prescient AI. With a tech background honed at major companies like Oracle, IBM (on the Watson team), and App Annie, Michael brings a wealth of experience to the table. He is an expert in marketing analytics, specifically leveraging artificial intelligence to solve complex measurement challenges without relying on cookies or pixels.Recommended Apps/Tools:Prescient AI: https://prescientai.com/ Triple Whale: https://www.triplewhale.com/ Growth Plan: www.upgrowthcommerce.com/growMillion Dollar Offers: www.upgrowthcommerce.com/growIn this episode's sponsor is Revenued - is a financial technology company that provides businesses with revenue-based financing solutions. Instead of relying on credit scores or collateral, Revenued offers funding based on a company's revenue. This allows businesses to access capital quickly and repay it as they generate income. Learn more here: Revenued

In today's episode, Warren Ingram and Conway Williams, Head Of Credit at Prescient, discuss the often-overlooked realms of private debt, particularly in the South African context. They explore the definitions, differences, and investment strategies associated with these asset classes, emphasizing the importance of understanding liquidity, risk, and diversification. The discussion also highlights the potential for impact investing through private debt, showcasing how investments can contribute to economic and social development while still providing competitive returns.TakeawaysPrivate debt provides lending opportunities with a focus on capital preservation.Investors in private debt sacrifice high returns for lower risk and priority in liquidation.Liquidity is a key consideration in both private equity and private debt investments.Private debt can offer returns above traditional fixed deposits, typically between 3-6% above call rates.Investing in private debt involves understanding the risks and potential credit events.Diversification is crucial to mitigate risks in private debt portfolios.Private debt can fund impactful projects like renewable energy and infrastructure.Investors should not allocate all their funds to private debt; a balanced portfolio is essential.Access to private debt investments can be achieved through specialized funds.Get more insight on how Prescient Investment Management can help you here.Send us a textHave a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

Technology is much more than a tool. Physicist Ursula Franklin argued that it's a system — one so powerful that it can shape our mindset, our society and our politics. Her observations were prescient when she delivered her Massey Lecture in 1989 and they are all the more relevant today. Ursula Franklin's friend and collaborator Jane Freeman reflects on the power of Franklin's message. 

In today's episode Warren Ingram invites Henk Kotze, Head of Cash & Income at Prescient to discuss global inflation, interest rates, and their impact on investors. Warren & Henk speak to the fact that inflation is decreasing, and interest rates are expected to follow, with the US economy still growing at a slower pace, with no immediate risk of recession. Warren and Henk also touch on opportunities in emerging markets and global income assets, the expansion of global ETFs in South Africa and more.TakeawaysInflation is starting to come down globally, and interest rates are expected to follow suit.The US economy is still growing, although at a slower pace, and a recession is not imminent.As interest rates decrease, there are opportunities for investors to find houses for their capital, with emerging markets and global income assets being attractive options.The availability of global ETFs in South Africa has expanded, providing more opportunities for investors.Diversification across asset classes and geographies is a key strategy for investors.Get more insight on how Prescient Investment Management can help you here.Send us a textHave a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

Broadcast from KSQD, Santa Cruz on 8-29-2024: Dr. Diana Schwarzbein explains the concept of damaged metabolism, focusing on building and using biochemicals in the body. Dr. Jeffrey Bland discusses metabolic syndrome, insulin resistance, and their widespread effects on various bodily systems. Dr. Mark Houston explores the relationship between insulin resistance, diabetes, and cardiovascular disease. Dr. David Perlmutter explains the connections between diabetes, inflammation, and neurodegenerative diseases like Alzheimer's and Parkinson's. The concept of food as information is introduced, highlighting how nutrients can influence gene expression and cellular function. The role of advanced glycosylation end products (AGEs) in aging and disease is discussed. The importance of fat cells as an endocrine organ and their impact on inflammation is explored. Mitochondrial function and oxidative stress are explained in relation to cellular health and disease. Dietary and lifestyle recommendations for reducing inflammation and improving overall health are provided by multiple speakers. The potential benefits of specific supplements like omega-3 fatty acids, vitamins C and E, and green tea extract are discussed. The speakers advocate for a more holistic, interconnected approach to medicine that addresses root causes rather than treating symptoms in isolation.

In todays episode, Warren Ingram and Rupert Hare, Head of Multi-Asset at Prescient,  discuss the investment opportunities in South Africa and around the world. They highlight the potential for good returns in South African asset classes, such as equities and fixed income instruments, due to attractive valuations and high yields. They also discuss the importance of diversification and the potential for growth in emerging markets like Japan. TakeawaysSouth African asset classes, such as equities and fixed income instruments, offer attractive valuations and high yields.Diversification is important, and investors should consider allocating to emerging markets like Japan.A balanced and rational approach to investing, focusing on long-term goals, is crucial.Investments should be based on the mix of asset classes that align with individual investment needs.Get more insight on how Prescient Investment Management can help you here.Send us a Text Message.Have a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

In today's episode, Warren Ingram and Rupert Hare, Head of Multi-Asset at Prescient, discuss the potential for interest rate cuts in the US and how it may impact asset allocation. They discuss the importance of diversification, preparing for different eventualities, the opportunities in global fixed income, and the potential for value in stock markets outside of the US.TakeawaysInterest rates are likely to come down in the US, and investors should prepare for different eventualities.Diversification across geographies and asset classes is important to mitigate risks and take advantage of opportunities.Global fixed income, which has been ignored for years, is now offering attractive returns.There are opportunities in stock markets outside of the US, especially in South African equities.Investors should consider the impact of interest rate cuts on different asset classes and adjust their allocations accordingly.Get more insight on how Prescient Investment Management can help you here.Send us a Text Message.Have a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

GOOD EVENING: The show begins tonight in the pandemic of 2020, where much of the mandates have since been shown to be arbitrary, without evidence of utility, and plain bullying... and John Tamny wrote his prescient work in 2021... 1865 DC

Tim Danahey discusses MAGA and some of our time's most prescient political issues. The TikTok attack isn't only mass hysteria but hypocrisy on the nth order. Tom Czarnik recites a prescient limerick. --- Send in a voice message: https://podcasters.spotify.com/pod/show/politicsdoneright/message

00:00 Introduction 12:55 Defining Customer Experience and its Relationship with Brand 25:30 The Role of Retail Stores in Customer Experience 31:19 The Impact of Product Information on Customer Experience 36:26 Educating Customers and Pre-Purchase Support 42:42 AI for Customer Support 45:35 Creating Video Content for Customer Education 48:52 The Importance of Trusting Your Gut 53:36 Funnels in Marketing and Business 01:05:00 Balancing Discounts and Brand Value 01:08:49 The Impact of Pricing and Offer Positioning 01:10:17 Testing Messaging and Perception Operators Exclusive Slack: ⁠⁠⁠https://join.slack.com/t/9operators/shared_invite/zt-20pd2eq4n-UVM6oTQkdltEwLINwkCWIA⁠ Powered by: Motion. ⁠⁠⁠https://motionapp.com/pricing?utm_source=marketing-operators-podcast&utm_medium=paidsponsor&utm_campaign=march-2024-ad-reads⁠⁠⁠ Richpanel. ⁠⁠⁠https://www.richpanel.com/⁠⁠⁠ Prescient. https://www.prescient-ai.io/operators Subscribe to the 9 Operators Podcast here: https://www.youtube.com/@Operators9

00:00 Introduction: Going International 08:16 Memorial Day Sales and Performance 12:24 Successes and Challenges of International Expansion 28:10 Early International Sales and Easy Wins 29:32 Timing and Team Building for International Expansion 31:23 Shipping Challenges and Localization 33:15 Building Dedicated Teams for International Markets 34:41Timing and Localization: Key Factors in International Expansion 38:32 Team Structure and Communication for International Growth 48:04 Translation: Challenges and Considerations for International Markets 55:47 Media Mix: Diversifying Channels for International Reach 57:04 Influencer Partnerships: Expanding Brand Reach in International Markets 01:02:45 Market Nuances and Adaptation: Keys to Success in International Expansion Operators Exclusive Slack: ⁠⁠⁠https://join.slack.com/t/9operators/shared_invite/zt-20pd2eq4n-UVM6oTQkdltEwLINwkCWIA⁠ Powered by: Motion. ⁠⁠⁠https://motionapp.com/pricing?utm_source=marketing-operators-podcast&utm_medium=paidsponsor&utm_campaign=march-2024-ad-reads⁠⁠⁠ Richpanel. ⁠⁠⁠https://www.richpanel.com/⁠⁠⁠ Prescient. https://www.prescient-ai.io/operators Haus. ⁠⁠⁠http://haus.io/operators⁠⁠⁠ Subscribe to the 9 Operators Podcast here: https://www.youtube.com/@Operators9

Host of the Tim Danhey show, activist, & former Coffee Party USA director discusses MAGA, the Israel-Palestinian war in Gaza, and much more. --- Send in a voice message: https://podcasters.spotify.com/pod/show/politicsdoneright/message

“Where do I think the next amazing revolution is going to come? … There's no question that digital biology is going to be it. For the very first time in our history, in human history, biology has the opportunity to be engineering, not science.” —Jensen Huang, NVIDIA CEOAviv Regev is one of the leading life scientists of our time. In this conversation, we cover the ongoing revolution in digital biology that has been enabled by new deep knowledge on cells, proteins and genes, and the use of generative A.I .Transcript with audio and external linksEric Topol (00:05):Hello, it's Eric Topol with Ground Truths and with me today I've really got the pleasure of welcoming Aviv Regev, who is the Executive Vice President of Research and Early Development at Genentech, having been 14 years a leader at the Broad Institute and who I view as one of the leading life scientists in the world. So Aviv, thanks so much for joining.Aviv Regev (00:33):Thank you for having me and for the very kind introduction.The Human Cell AtlasEric Topol (00:36):Well, it is no question in my view that is the truth and I wanted to have a chance to visit a few of the principal areas that you have been nurturing over many years. First of all, the Human Cell Atlas (HCA), the 37 trillion cells in our body approximately a little affected by size and gender and whatnot, but you founded the human cell atlas and maybe you can give us a little background on what you were thinking forward thinking of course when you and your colleagues initiated that big, big project.Aviv Regev (01:18):Thanks. Co-founded together with my very good friend and colleague, Sarah Teichmann, who was at the Sanger and just moved to Cambridge. I think our community at the time, which was still small at the time, really had the vision that has been playing out in the last several years, which is a huge gratification that if we had a systematic map of the cells of the body, we would be able both to understand biology better as well as to provide insight that would be meaningful in trying to diagnose and to treat disease. The basic idea behind that was that cells are the basic unit of life. They're often the first level at which you understand disease as well as in which you understand health and that in the human body, given the very large number of individual cells, 37.2 trillion give or take, and there are many different characteristics.(02:16):Even though biologists have been spending decades and centuries trying to characterize cells, they still had a haphazard view of them and that the advancing technology at the time – it was mostly single cell genomics, it was the beginnings also of spatial genomics – suggested that now there would be a systematic way, like a shared way of doing it across all cells in the human body rather than in ways that were niche and bespoke and as a result didn't unify together. I will also say, and if you go back to our old white paper, you will see some of it that we had this feeling because many of us were computational scientists by training, including both myself and Sarah Teichmann, that having a map like this, an atlas as we call it, a data set of this magnitude and scale, would really allow us to build a model to understand cells. Today, we call them foundational models or foundation models. We knew that machine learning is hungry for these kinds of data and that once you give it to machine learning, you get amazing things in return. We didn't know exactly what those things would be, and that has been playing out in front of our eyes as well in the last couple of years.Spatial OmicsEric Topol (03:30):Well, that gets us to the topic you touched on the second area I wanted to get into, which is extraordinary, which is the spatial omics, which is related to the ability to the single cell sequencing of cells and nuclei and not just RNA and DNA and methylation and chromatin. I mean, this is incredible that you can track the evolution of cancer, that the old word that we would say is a tumor is heterogeneous, is obsolete because you can map every cell. I mean, this is just changing insights about so much of disease health mechanisms, so this is one of the hottest areas of all of life science. It's an outgrowth of knowing about cells. How do you summarize this whole era of spatial omics?Aviv Regev (04:26):Yeah, so there's a beautiful sentence in the search for lost time from Marcel Proust that I'm going to mess up in paraphrasing, but it is roughly that going on new journeys is not about actually going somewhere physically but looking with new eyes and I butchered the quote completely.[See below for actual quote.] I think that is actually what single cells and then spatial genomics or spatial omics more broadly has given us. It's the ability to look at the same phenomenon that we looked at all along, be it cancer or animal development or homeostasis in the lung or the way our brain works, but having new eyes in looking and because these new eyes are not just seeing more of something we've seen before, but actually seeing things that we couldn't realize were there before. It starts with finding cells we didn't know existed, but it's also the processes that these cells undergo, the mechanisms that actually control that, the causal mechanisms that control that, and especially in the case of spatial genomics, the ways in which cells come together.(05:43):And so we often like to think about the cell because it's the unit of life, but in a multicellular organism we just as much have to think about tissues and after that organs and systems and so on. In a tissue, you have this amazing orchestration of the interactions between different kinds of cells, and this happens in space and in time and as we're able to look at this in biology often structure is tightly associated to function. So the structure of the protein to the function of the protein in the same way, the way in which things are structured in tissue, which cells are next to each other, what molecules are they expressing, how are they physically interacting, really tells us how they conduct the business of the tissue. When the tissue functions well, it is this multicellular circuit that performs this amazing thing known as homeostasis.(06:36):Everything changes and yet the tissue stays the same and functions, and in disease, of course, when these connections break, they're not done in the right way you end up with pathology, which is of course something that even historically we have always looked at in the level of the tissue. So now we can see it in a much better way, and as we see it in a better way, we resolve better things. Yes, we can understand better the mechanisms that underlie the resistance to therapeutics. We can follow a temporal process like cancer as it unfortunately evolves. We can understand how autoimmune disease plays out with many cells that are actually bent out of shape in their interactions. We can also follow magnificent things like how we start from a single cell, the fertilized egg, and we become 37.2 trillion cell marvel. These are all things that this ability to look in a different way allows us to do.Eric Topol (07:34):It's just extraordinary. I wrote at Ground Truths about this. I gave all the examples at that time, and now there's about 50 more in the cardiovascular arena, knowing with single cell of the pineal gland that the explanation of why people with heart failure have sleep disturbances. I mean that's just one of the things of so many now these new insights it's really just so remarkable. Now we get to the current revolution, and I wanted to read to you a quote that I have.Digital BiologyAviv Regev (08:16):I should have prepared mine. I did it off the top of my head.Eric Topol (08:20):It's actually from Jensen Huang at NVIDIA about the digital biology [at top of the transcript] and how it changes the world and how you're changing the world with AI and lab in the loop and all these things going on in three years that you've been at Genentech. So maybe you can tell us about this revolution of AI and how you're embracing it to have AI get into positive feedbacks as to what experiment to do next from all the data that is generated.Aviv Regev (08:55):Yeah, so Jensen and NVIDIA are actually great partners for us in Genentech, so it's fun to contemplate any quote that comes from there. I'll actually say this has been in the making since the early 2010s. 2012 I like to reflect on because I think it was a remarkable year for what we're seeing right now in biology, specifically in biology and medicine. In 2012, we had the beginnings of really robust protocols for single cell genomics, the first generation of those, we had CRISPR happen as a method to actually edit cells, so we had the ability to manipulate systems at a much better way than we had before, and deep learning happened in the same year as well. Wasn't that a nice year? But sometimes people only realize the magnitude of the year that happened years later. I think the deep learning impact people realized  first, then the single cells, and then the CRISPR, then the single cells.(09:49):So in order maybe a little bit, but now we're really living through what that promise can deliver for us. It's still the early days of that, of the delivery, but we are really seeing it. The thing to realize there is that for many, many of the problems that we try to solve in biomedicine, the problem is bigger than we would ever be able to perform experiments or collect data. Even if we had the genomes of all the people in the world, all billions and billions of them, that's just a smidge compared to all of the ways in which their common variants could combine in the next person. Even if we can perturb and perturb and perturb, we cannot do all of the combinations of perturbations even in one cell type, let alone the many different cell types that are out there. So even if we searched for all the small molecules that are out there, there are 10 to the 60 that have drug-like properties, we can't assess all of them, even computationally, we can't assess numbers like that.(10:52):And so we have to somehow find a way around problems that are as big as that and this is where the lab in the loop idea comes in and why AI is so material. AI is great, taking worlds, universes like that, that appear extremely big, nominally, like in basic numbers, but in fact have a lot of structure and constraint in them so you can reduce them and in this reduced latent space, they actually become doable. You can search them, you can compute on them, you can do all sorts of things on them, and you can predict things that you wouldn't actually do in the real world. Biology is exceptionally good, exceptionally good at lab sciences, where you actually have the ability to manipulate, and in biology in particular, you can manipulate at the causes because you have genetics. So when you put these two worlds together, you can actually go after these problems that appear too big that are so important to understanding the causes of disease or devising the next drug.(11:51):You can iterate. So you start, say, with an experimental system or with all the data that you have already, I don't know from an initiative like the human cell atlas, and from this you generate your original model of how you think the world works. This you do with machine learning applied to previous data. Based on this model, you can make predictions, those predictions suggest the next set of experiments and you can ask the model to make the most optimized set of predictions for what you're trying to learn. Instead of just stopping there, that's a critical point. You go back and you actually do an experiment and you set up your experiments to be scaled like that to be big rather than small. Sometimes it means you actually have to compromise on the quality of any individual part of the experiment, but you more than make up for that with quantity.The A.I. Lab-in-the-Loop(12:38):So now you generate the next data from which you can tell both how well did your algorithm actually predict? Maybe the model didn't predict so well, but you know that because you have lab results and you have more data in order to repeat the loop, train the model again, fit it again, make the new next set of predictions and iterate like this until you're satisfied. Not that you've tried all options, because that's not achievable, but that you can predict all the interesting options. That is really the basis of the idea and it applies whether you're solving a general basic question in biology or you're interested in understanding the mechanism of the disease or you're trying to develop a therapeutic like a small molecule or a large molecule or a cell therapy. In all of these contexts, you can apply this virtual loop, but to apply it, you have to change how you do things. You need algorithms that solve problems that are a little different than the ones they solved before and you need lab experiments that are conducted differently than they were conducted before and that's actually what we're trying to do.Eric Topol (13:39):Now I did find the quote, I just want to read it so we have it, “biology has the opportunity to be engineering, not science. When something becomes engineering, not science, it becomes exponentially improving. It can compound on the benefits of previous years.” Which is kind of a nice summary of what you just described. Now as we go forward, you mentioned the deep learning origin back at the same time of CRISPR and so many things happening and this convergence continues transformer models obviously one that's very well known, AlphaFold, AlphaFold2, but you work especially in antibodies and if I remember correctly from one of your presentations, there's 20 to the 32nd power of antibody sequences, something like that, so it's right up there with the 10 to the 60th number of small molecules. How do transformer models enhance your work, your discovery efforts?Aviv Regev (14:46):And not just in antibodies, I'll give you three brief examples. So absolutely in antibodies it's an example where you have a very large space and you can treat it as a language and transformers are one component of it. There's other related and unrelated models that you would use. For example, diffusion based models are very useful. They're the kind that people are used to when you do things, you use DALL-E or Midjourney and so on makes these weird pictures, think about that picture and not as a picture and now you're thinking about a three-dimensional object which is actually an antibody, a molecule. You also mentioned AlphaFold and AlphaFold 2, which are great advances with some components related to transformers and some otherwise, but those were done as general purpose machines for proteins and antibodies are actually not general purpose proteins. They're antibodies and therapeutic antibodies are even further constrained.(15:37):Antibodies also really thrive, especially for therapeutics and also in our body, they need diversity and many of these first models that were done for protein structure really focused on using conservation as an evolutionary signal comparison across species in order to learn the model that predicts the structure, but with antibodies you have these regions of course that don't repeat ever. They're special, they're diverse, and so you need to do a lot of things in the process in order to make the model fit in the best possible way. And then again, this loop really comes in. You have data from many, many historical antibodies. You use that to train the model. You use that model in order to make particular predictions for antibodies that you either want to generate de novo or that you want to optimize for particular properties. You make those actually in the lab and in this way gradually your models become better and better at this task with antibodies.(16:36):I do want to say this is not just about antibodies. So for example, we develop cancer vaccines. These are personalized vaccines and there is a component in making a personalized cancer vaccine, which is choosing which antigens you would actually encode into the vaccine and transformers play a crucial role in actually making this prediction today of what are good neoantigens that will get presented to the immune system. You sometimes want to generate a regulatory sequence because you want to generate a better AAV-like molecule or to engineer something in a cell therapy, so you want to put a cis-regulatory sequence that controls gene expression. Actually personally for me, this was the first project where I used a transformer, which we started years ago. It was published a couple of years ago where we learned a general model that can predict in a particular system. Literally you throw a sequence at that model now and it will predict how much expression it would drive. So these models are very powerful. They are not the be all and end all of all problems that we have, but they are fantastically useful, especially for molecular therapeutics.Good Trouble: HallucinationsEric Topol (17:48):Well, one of the that has been an outgrowth of this is to actually take advantage of the hallucinations or confabulation of molecules. For example, the work of David Baker, who I'm sure you know well at University of Washington, the protein design institute. We are seeing now molecules, antibodies, proteins that don't exist in nature from actually, and all the things that are dubbed bad in GPT-4 and ChatGPT may actually help in the discovery in life science and biomedicine. Can you comment about that?Aviv Regev (18:29):Yeah, I think much more broadly about hallucinations and what you want to think about is something that's like constrained hallucination is how we're creative, right? Often people talk about hallucinations and they shudder at it. It sounds to them insane because if you think about your, say a large language model as a search tool and it starts inventing papers that don't exist. You might be like, I don't like that, but in reality, if it invents something meaningful that doesn't exist, I love that. So that constrained hallucination, I'm just using that colloquially, is a great property if it's constrained and harnessed in the right way. That's creativity, and creativity is very material for what we do. So yes, absolutely in what we call the de novo domain making new things that don't exist. This generative process is the heart of drug discovery. We make molecules that didn't exist before.(19:22):They have to be imagined out of something. They can't just be a thing that was there already and that's true for many different kinds of therapeutic molecules and for other purposes as well, but of course they still have to function in an effective way in the real world. So that's where you want them to be constrained in some way and that's what you want out of the model. I also want to say one of the areas that personally, and I think for the field as a whole, I find the most exciting and still underused is the capacity of these models to hallucinate for us or help us with the creative endeavors of identifying the causes of processes, which is very different than the generative process of making molecules. Thinking about the web of interactions that exist inside a cell and between cells that drives disease processes that is very hard for us to reason through and to collect all the bits of information and to fill in blanks, those fillings of the blanks, that's our creativity, that's what generates the next hypothesis for us. I'm very excited about that process and about that prospect, and I think that's where the hallucination of models might end up proving to be particularly impressive.A.I. Accelerated Drug DiscoveryEric Topol (20:35):Yeah. Now obviously the field of using AI to accelerate drug discovery is extremely hot, just as we were talking about with spatial omics. Do you think that is warranted? I mean you've made a big bet on that you and your folks there at Genentech of course, and so many others, and it's a very crowded space with so many big pharma partnering with AI. What do you see about this acceleration? Is it really going to reap? Is it going to bear fruit? Are we going to see, we've already seen some drugs of course, that are outgrowths, like Baricitinib in the pandemic and others, but what are your expectations? I know you're not one to get into any hyperbole, so I'm really curious as to what you think is the future path.Aviv Regev (21:33):So definitely my hypothesis is that this will be highly, highly impactful. I think it has the potential to be as impactful as molecular biology has been for drug discovery in the 1970s and 1980s. We still live that impact. We now take it for granted. But, of course that's a hypothesis. I also believe that this is a long game and it's a deep investment, meaning decorating what you currently do with some additions from right and left is not going to be enough. This lab in the loop requires deep work working at the heart of how you do science, not as an add-on or in addition to or yet another variant on what has become a pretty established approach to how things are done. That is where I think the main distinction would be and that requires both the length of the investment, the effort to invest in, and also the willingness to really go all out, all in and all out.(22:36):And that takes time. The real risk is the hype. It's actually the enthusiasm now compared to say 2020 is risky for us because people get very enthusiastic and then it doesn't pay off immediately. No, these iterations of a lab in the loop, they take time and they take effort and they take a lot of changes and at first, algorithms often fail before they succeed. You have to iterate them and so that is actually one of the biggest risks that people would be like, but I tried it. It didn't work. This was just some over-hyped thing. I'm walking away and doing it the old way. So that's where we actually have to keep at it, but also keep our expectations not low in magnitude. I think that it would actually deliver, but understanding that it's actually a long investment and that unless you do it deeply, it's not going to deliver the goods.Eric Topol (23:32):I think this point warrants emphasis because the success already we've seen has not been in necessarily discovery and in preliminary validation of new molecules, but rather data mining repurposing, which is a much easier route to go quicker, but also there's so many nodes on past whereby AI can make a difference even in clinical trials, in synthetic efforts to project how a clinical trial will turn out and being able to do toxic screens without preclinical animal work. There's just so many aspects of this that are AI suited to rev it up, but the one that you're working on, of course is the kind of main agenda and I think you framed it so carefully that we have to be patient here, that it has a chance to be so transformative. Now, you touched on the parallels to things like DALL-E and Midjourney and large language models. A lot of our listeners will be thinking only of ChatGPT or GPT-4 or others. This is what you work on, the language of life. This is not text of having a conversation with a chatbot. Do you think that as we go forward, that we have to rename these models because they're known today as language models? Or do you think that, hey, you know what, this is another language. This is a language that life science and biomedicine works with. How do you frame it all?Large Non-Human Language ModelsAviv Regev (25:18):First of all, they absolutely can remain large language models because these are languages, and that's not even a new insight. People have treated biological sequences, for example, in the past too, using language models. The language models were just not as great as the ones that we have right now and the data that were available to train models in the past were not as amazing as what we have right now. So often these are really the shifts. We also actually should pay respect to human language. Human language encodes a tremendous amount of our current scientific knowledge and even language models of human language are tremendously important for this scientific endeavor that I've just described. On top of them come language models of non-human language such as the language of DNA or the language of protein sequences, which are also tremendously important as well as many other generative models, representation learning, and other approaches for machine learning that are material for handling the different kinds of data and questions that we have.(26:25):It is not a single thing. What large language models and especially ChatGPT, this is an enormous favor for which I am very grateful, is that I think it actually convinced people of the power. That conviction is extremely important when you're solving a difficult problem. If you feel that there's a way to get there, you're going to behave differently than if you're like, nothing will ever come out of it. When people experience ChatGPT actually in their daily lives in basic things, doing things that felt to them so human, this feeling overrides all the intellectual part of things. It's better than the thinking and then they're like, in that case, this could actually play out in my other things as well. That, I think, was actually materially important and was a substantial moment and we could really feel it. I could feel it in my interactions with people before and after how their thinking shifted. Even though we were on this journey from before.Aviv Regev (27:30):We were. It felt different.Eric Topol (27:32):Right, the awareness of hundreds of millions of people suddenly in end of November 2022 and then you were of course going to Genentech years before that, a couple few years before that, and you already knew this was on the move and you were redesigning the research at Genentech.Aviv Regev (27:55):Yes, we changed things well before, but it definitely helps in how people embrace and engage feels different because they've seen something like that demonstrated in front of them in a way that felt very personal, that wasn't about work. It's also about work, but it's about everything. That was very material actually and I am very grateful for that as well as for the tool itself and the many other things that this allows us to do but we have, as you said, we have been by then well on our way, and it was actually a fun moment for that reason as well.Eric Topol (28:32):So one of the things I'm curious about is we don't think about the humans enough, and we're talking about the models and the automation, but you have undoubtedly a large team of computer scientists and life scientists. How do you get them to interact? They're of course, in many respects, in different orbits, and the more they interact, the more synergy will come out of that. What is your recipe for fostering their crosstalk?Aviv Regev (29:09):Yeah, this is a fantastic question. I think the future is in figuring out the human question always above all and usually when I draw it, like on the slide, you can draw the loop, but we always put the people in the center of that loop. It's very material to us and I will highlight a few points. One crucial thing that we've done is that we made sure that we have enough critical mass across the board, and it played out in different ways. For example, we built a new computational organization, gRED Computational Sciences, from what was before many different parts rather than one consolidated whole. Of course within that we also built a very strong AI machine learning team, which we didn't have as much before, so some of it was new people that we didn't have before, but some of it was also putting it with its own identity.(29:56):So it is just as much, not more, but also not less just as much of a pillar, just as much of a driver as our biology is, as our chemistry and molecule making is, as our clinical work is. This equal footing is essential and extremely important. The second important point is you really have to think about how you do your project. For example, when we acquired Prescient, at the time they were three people, tiny, tiny company became our machine learning for drug discovery. It's not tiny anymore, but when we acquired them, we also invested in our antibody engineering so that we could do antibody engineering in a lab in the loop, which is not how we did it before, which meant we invested in our experiments in a different way. We built a department for cell and tissue genomics so we can conduct biology experiments also in a different way.(30:46):So we changed our experiments, not just our computation. The third point that I think is really material, I often say that when I'm getting asked, everyone should feel very comfortable talking with an accent. We don't expect our computational scientists to start behaving like they were actually biology trained in a typical way all along, or chemists trained in a typical way all along and by the same token, we don't actually expect our biologists to just embrace wholeheartedly and relinquish completely one way of thinking for another way of thinking, not at all. To the contrary, we actually think all these accents, that's a huge strength because the computer scientist thinks about biology or about chemistry or about medical work differently than a medical doctor or a chemist or a biologist would because a biologist thinks about a model differently and sometimes that is the moment of brilliance that defines the problem and the model in the most impactful way.(31:48):We want all of that and that requires both this equal footing and this willingness to think beyond your domain, not just hand over things, but actually also be there in this other area where you're not the expert but you're weird. Talking with an accent can actually be super beneficial. Plus it's a lot of fun. We're all scientists, we all love learning new things. So that's some of the features of how we try to build that world and you kind of do it in the same way. You iterate, you try it out, you see how it works, and you change things. It's not all fixed and set in stone because no one actually wrote a recipe, or at least I didn't find that cookbook yet. You kind of invent it as you go on.Eric Topol (32:28):That's terrific. Well, there's so much excitement in this convergence of life science and the digital biology we've been talking about, have I missed anything? We covered human cell atlas, the spatial omics, the lab in the loop. Is there anything that I didn't touch on that you find important?Aviv Regev (32:49):There's something we didn't mention and is the reason I come to work every day and everyone I work with here, and I actually think also the people of the human cell atlas, we didn't really talk about the patients.(33:00):There's so much, I think you and I share this perspective, there's so much trepidation around some of these new methods and we understand why and also we all saw that technology sometimes can play out in ways that are really with unintended consequences, but there's also so much hope for patients. This is what drives people to do this work every day, this really difficult work that tends not to work out much more frequently than it works out now that we're trying to move that needle in a substantial way. It's the patients, and that gives this human side to all of it. I think it's really important to remember. It also makes us very responsible. We look at things very responsibly when we do this work, but it also gives us this feeling in our hearts that is really unbeatable, that you're doing it for something good.Eric Topol (33:52):I think that emphasis couldn't be more appropriate. One of the things I think about all the time is that because we're moving into this, if you will, hyper accelerated phase of discovery over the years ahead with this just unparallel convergence of tools to work with, that somebody could be cured of a condition, somebody could have an autoimmune disease that we will be able to promote tolerogenicity and they wouldn't have the autoimmune disease and if they could just sit tight and wait a few years before this comes, as opposed to just missing out because it takes time to get this all to gel. So I'm glad you brought that up, Aviv, because I do think that's what it's all about and that's why we're cheering for your work and so many others to get it done, get across the goal line because there's these 10,000 diseases out there and there's so many unmet needs across them where we don't have treatments that are very effective or have all sorts of horrible side effects. We don't have cures, and we've got all the things now, as we've mentioned here in this conversation, whether it's genome editing and ability to process massive scale data in a way that never could be conceived some years ago. Let's hope that we help the patients, and go ahead.Aviv Regev (35:25):I found the Proust quote, if you want it recorded correctly.Eric Topol (35:29):Yeah, good.Aviv Regev (35:30):It's much longer than what I did. It says, “the only true voyage, the only bath in the Fountain of Youth would be not to visit strange lands but to possess other eyes, to see the universe through the eyes of another, of a hundred others, to see the hundred universes that each of them sees, that each of them is; and this we do, with great artists; with artists like these we do fly from star to star.”—Marcel ProustEric Topol (35:57):I love that and what a wonderful way to close our conversation today. Aviv, I look forward to more conversations with you. You are an unbelievable gem. Thanks so much for joining today.Aviv Regev (36:10):Thank you so much.*************************************Thanks for listening or reading to this Ground Truths Podcast.Please share if you found it of interestThe Ground Truths newsletters and podcasts are all free, open-access, without ads.Voluntary paid subscriptions all go to support Scripps Research. Many thanks for that—they greatly helped fund our summer internship programs for 2023 and 2024.Note: you can select preferences to receive emails about newsletters, podcasts, or all I don't want to bother you with an email for content that you're not interested in.Comments are welcome from all subscribers. Get full access to Ground Truths at erictopol.substack.com/subscribe

3/24/24 message from Pastor Frank Amedia It is possible to be smack in the midst of the Sudden Moment of the emergence of a significant Kingdom Movement and not even know it. Sadly, the history of the relationship of God and Man reveals this is a prevalent failure of not being present in the moment. JOIN PASTOR FRANK Message: Prescient in the Present Movement And of the children of Issachar, which were men that had understanding of the times, to know what Israel ought to do . . . and all their brethren were at their commandment. (1 Chr. 12:32) https://www.touchheaven.com https://soundcloud.com/touchheavenministries https://www.facebook.com/TouchHeavenMinistries https://twitter.com/TouchHeaven https://www.newcreationwoman.com

Listen to today's episode of Gaia Translate and claim the gift of precient wisdom from the Great Spirit of Cabbage.  Be sure to follow or subscribe to the Gaia Translate podcast so you don't miss an episode of these powerful and timely conversations with the spirits and sentient beings of the natural world. Want to connect with me further? Great! Follow me on Instagram @gaiatranslate and reach out with your questions or comments. Want access to the transcript and show notes for future episodes? Visit our website at www.gaiatranslate.com Please rate, review and share the Gaia Translate podcast with your friends and colleagues so that more of us are able to receive this timely communication from the greater family of life we are all a part of.  A note to my listeners about where these channeled sessions with the spirits of nature take place. Unlike a typical podcast, I am not channeling in a space that has been set up for recording audio - Rather I am channeling in my meditation loft or outside in a natural setting. To put it another way, these channeled sessions are recorded ‘on location' and for this reason the sound quality may not be at the level of one who sits in a studio-like environment and carries on what my guides refer to as a human-to-human discourse.

The National Security Hour with Edward Haugland – I explore historical lessons from Washington in 1796 versus today's bureaucratic landscape, offering guidance for 2024 elections. We discuss key policies, the necessity of overhauling National Security, and strategies to ensure the resilience and security of our Republic. Join me in understanding how our past shapes our future, and in identifying priorities for this crucial election year.

The National Security Hour with Edward Haugland – I explore historical lessons from Washington in 1796 versus today's bureaucratic landscape, offering guidance for 2024 elections. We discuss key policies, the necessity of overhauling National Security, and strategies to ensure the resilience and security of our Republic. Join me in understanding how our past shapes our future, and in identifying priorities for this crucial election year.

As the imperative for modernizing the energy grid becomes more urgent, the evolving landscape requires utility leaders to innovate and adopt best practices for a resilient and sustainable electric future. But the right actions to take in this regard are not always agreed upon across the industry, with the need to balance costs, reliability, sustainability, and more creating friction. In this episode of the Energy Central Power Perspectives Podcast, a front row view of these challenges and potential pathway are shared by industry veteran Tony Sleva, President of Prescient Transmission Systems. With over 50 years of experience, Tony shares insights into the challenges and opportunities facing the utility sector. From embracing renewable energy to wildfire risk reduction, electric vehicle integration, and the importance of physical security, Tony provides a comprehensive perspective on the transformation needed for a sustainable and resilient energy future. Listen in as Tony shares with podcast host Jason Price and producer Matt Chester his practical advice for utilities, urging them to embrace uncertainty, innovate, and adopt best practices from other industries. Tony also delves into the need for utilities to update transmission lines, optimize models for modern challenges, and incorporate innovations. Join the conversation and gain valuable insights into shaping the next-generation electric grid. Thanks to Prescient Transmission Systems – Prescient works with electric utilities to integrate next generation concepts into grid design and operating practices. Prescient's team provides insights on wildfire risk reduction, electric vehicle integration, energy balancing, system modeling, and physical security. Contact Prescient Transmission Systems today through their Energy Central profile, or online at www.prescientelectric.com. And join Tony for his upcoming webinar discussing Effective Physical Security for Substations, happening Tuesday, February 20, 2024. Register now on the Energy Central Calendar, or on prescientelectric.com/webinars. Key Links: Energy Central Post with Full Episode Transcript: https://energycentral.com/o/energy-central/episode-154-imagining-next-generation-energy-grid-tony-sleva-president-prescient Tony Sleva's Energy Central Profile: https://energycentral.com/member/profile/tony-sleva Prescient Transmission Systems on Energy Central: https://energycentral.com/o/prescient Did you know? The Energy Central Power Perspectives Podcast has been identified as one of the industry's 'Top 25 Energy Podcasts': blog.feedspot.com/energy_podcasts/ Ask a Question to Our Future Guests: Do you have a burning question for the utility executives and energy industry thought leaders that we feature each week on the Energy Central Power Perspectives Podcast? Do you want to hear your voice on a future episode? Well starting in 2024, we're offering you that opportunity! Head to this link where you can leave us a recorded message, including a question you're eager to have answered on a future episode of the podcast. We'll listen through them, pick out the right guests in our upcoming lineup to address them, and you'll hear yourself as a part of the conversation! Energy Central on SpeakPipe: www.speakpipe.com/EnergyCentralPodcast

In this bonus episode, Jim adds a prescient song about AI from 1978 to the Desert Island Jukebox.Become a member on Patreon: https://bit.ly/3slWZvcSign up for our newsletter: https://bit.ly/3eEvRnGMake a donation via PayPal: https://bit.ly/3dmt9lUSend us a Voice Memo: Desktop: bit.ly/2RyD5Ah Mobile: sayhi.chat/soundopsJoin our Facebook Group: https://bit.ly/3sivr9TSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Marc Elias explains why the Supreme Court must uphold the Colorado Supreme Court's finding that Trump is not eligible to run for President lest it further erodes its credibility. --- Send in a voice message: https://podcasters.spotify.com/pod/show/politicsdoneright/message Support this podcast: https://podcasters.spotify.com/pod/show/politicsdoneright/support

Join Warren Ingram and Romelon Chetty, a quantitative analyst at Prescient, as we explore the world of index investing, from the Dow Jones to the JSE Top 40. We'll delve into how these indices shape market performance and fund management, and the crucial role of discipline and delayed gratification in personal finance. Get ready for insightful revelations that connect the dots between global financial trends and individual decision-making.Topics/ Questions:Exploring the history and impact of index investing.Deep dive into indices: From Dow Jones to JSE Top 40 Index.Understanding the role of indices in market assessment and fund management.Beyond the numbers: Personal finance and decision-making insights.The interplay of discipline and regret in financial choices.Romelon Chetty's take on the power of delayed gratification in finance.Analyzing the South African market and global financial trends.Linking financial knowledge with personal discipline strategies.Have a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

In today's episode Warren Ingram and Reza Ismail, Head of Bonds at Prescient , unravel the complexities of global bond markets and South Africa's fiscal landscape. We'll dissect the country's debt handling post-budget, the challenges facing its bond market, and the broader implications of U.S. monetary policy.Analyzing South Africa's debt capacity post-medium-term budget.Understanding bonds' role between cash and equity investments.Investigating the decline in international interest in South African bonds.Challenges in the South African bond market: fiscal deficit and load shedding.Impact of U.S. interest rates on global investments and price stability.Dissecting South Africa's interim budget and signals for the full-year budget.Examining fiscal restraint and economic growth in budget planning.Scrutinizing the October and February budgets and the need for spending discipline.Consequences of political influence on the Reserve Bank's independence.Discussing the importance of independent institutions and strategic policy for economic stability.Have a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

Word Test for the following Episodes and Words. 121: Abdicate, Forestall, Phalanx, Distaff 122: Goad, Chaos, Fledgling, Frenetic 123: Immutable, Disabuse, Inculcate, Pejorative 124: August, Florid, Prevaricate, Wily 125: Cabal, Unequivocal, Salubrious, Demagogue 126: Stasis, Burnish, Diffident, Prescient 127: Erratic, Acme, Occlude, Grandiloquent 128: Satiate, Reprobate, Quixotic, Bonhomie: 129: Talon, Estimable, Coalesce, Stentorian 130: Dupe, Decorous, Lapidary, Coterie VictorPrep's vocab podcast is for improving for English vocabulary skills while helping you prepare for your standardized tests! This podcast isn't only intended for those studying for the GRE or SAT, but also for people who enjoy learning, and especially those who want to improve their English skills. I run the podcast for fun and because I want to help people out there studying for tests or simply learning English. The podcast covers a variety of words and sometimes additionally covers word roots. Using a podcast to prep for the verbal test lets you study while on the go, or even while working out! 

Today Warren Ingram invites Rupert Hare, Head of Multi-Asset at Prescient,  to delve into the debated concept of a BRICS currency,  geopolitical significance and challenges to G7 dominance, especially with India and China's rising influence.  Discover the potential impacts such a currency could have on the global economic stage and the transformative power of emerging economies on global structures. Questions/ TopicsExploring the global power shifts: spotlight on BRICS.Geopolitical implications of the BRICS power bloc.BRICS vs. G7 dominance.The rising trajectories of India and China within BRICS.Delving into the debated concept of a BRICS currency.Expert insights from Pression Investment Management.Potential and challenges of a unified BRICS currency.Impacts on the global economic landscape.Understanding emerging economies' influence on global power dynamics.Have a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

Have you ever stopped to consider the power of the South African rand in shaping your financial future? Today Warren Ingram invites Rupert Hare, Head of Multi-Asset at Prescient, to tackle the often unpredictable nature of the rand, exploring how its strength affects our investment decisions and the crucial role it plays when considering offshore exposure.Questions/ Topics: Exploring the Power of the South African RandInsights from Rupert of Pressient Investment ManagementUnpredictable Nature of the Rand and Its Impact on InvestmentsThe Role of the Rand in Offshore ExposureGovernment Policies and External Factors' Influence on the RandThe Unique Challenge of Timing the RandLong-Term Investment Philosophy and Avoiding Market TimingThe Enduring Equilibrium of the RandSignificance of the Rand in Investment DecisionsNavigating the Complexities of the Rand in InvestmentJoin us for an enlightening journey into investing with the Rand on Honest Money podcast.Have a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

Matt and Bowen are fresh from the 2023 LCCA's and break it all down for all the readers, Kayteighs, publicists and finalists who were not in attendance.See omny.fm/listener for privacy information.