Podcasts about ai data

Guest post by John Tallon, Practice Director of AI & Data and Modern Apps and M365 Productivity, Storm Technology Evolving from generating content to executing actions, from supporting innovation to driving competition, from being a passive enabler to an active differentiator - we are living and working in an age of AI transformation and its impact is felt by each person and every organisation. No matter the size of the company, the sector in which you work, where you are based or what department you look at, AI is changing how businesses operate. With a 2024 Storm Technology survey revealing that well over half (59%) of IT leaders think their company needs to adopt AI to be competitive over the next three years, it is viewed as a catalyst for success. But while the building blocks of our AI future are already being stacked high, many businesses lack the right foundations. Those foundations consist of high-quality, well-managed data. Worst enemy With data being the key to unlocking AI potential and ensuring a return on investment, every journey must start there. Before a company even thinks about what AI solutions it would benefit from, it needs to look at the information at its disposal and the state that data is in. Having inaccurate, incomplete or unorganised data means AI tools will lack contextual data to reason over and ultimately fail to deliver real and meaningful value to your business. To avoid this, you need to have not only good-quality information but well-prepared, well-managed data. Such insights need to be accessible, complete and devoid of errors. That means removing any gaps, duplicates or inconsistencies, while labelling and organising data properly. It also means securing information and, where relevant, updating datasets. As part of this process, companies should also identify which datasets are actually suitable and valuable for the application of AI. Best practice As well as data management, data governance is also critical, not only in terms of AI success but security. Without the right frameworks, AI platforms may be vulnerable to attack or manipulation. Again, as with subpar data, ineffective governance could create biases and ethical issues which stifle AI effectiveness and success. Moreover, this age of heightened innovation is also a time of heightened regulation. For instance, regulations such as NIS2 have placed a whole new range of requirements on both private and public entities. And with such regulations continuing to evolve, compliance is more than just a box to check for growing organisations; it's a business imperative. Regardless of whether NIS2 applies to you or not, every company leveraging AI must put tools and processes in place to uphold compliance and avoid the reputational and financial risks associated with inadequate governance. Alongside legislative requirements, this approach also ensures that best practices are upheld within the organisation and teams are deploying AI not just productively and proactively but responsibly. By deploying best practices when it comes to data, businesses can help to ensure AI efficacy and value, whilst securing information and upholding compliance. AI enables companies to work smarter today - from automating tasks and supporting productivity to predicting customer behaviours and managing projects - and achieve long-term business objectives. Without a doubt, AI has the power to take a company to new heights, but to realise the full benefit, they must put data first. See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your...

Kuok Meng Wei, whose grandfather was once called the world's shrewdest businessman by Forbes, is leading his family into what the 41-year-old describes as the hottest industry in decades. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

How much electric power will AI need in the years ahead? How can that demand be met cheaply and sustainably? What can we learn from projections of data center power demand over the past several decades? How can AI contribute to meeting clean energy goals? Join host David Sandalow in a lively conversation with Michael Liebreich, founder of New Energy Finance, on these topics and more. AI, Energy and Climate is a special series from the DSR Network sponsored by NEDO and hosted by David Sandalow, Inaugural Fellow at Columbia University's Center on Global Energy Policy. AI for Climate Change Mitigation Roadmap -- https://www.icef.go.jp/roadmap and transitiondigital.org/ai-climate-roadmap.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Patrick McKenzie (patio11) is joined by Azeem Azhar, writer of the Exponential View newsletter, to discuss the massive data center buildout powering AI and its implications for our energy infrastructure. The conversation covers the physical limitations of modern datacenters, the challenges of electricity generation, the societal ripples from historical largescale infrastructure investments like railways and telecommunications, and the future of energy including solar, nuclear and geothermal power. Through their discussion, Patrick and Azeem explain why our mental models for both computing and energy systems need to be updated.–Full transcript available here: www.complexsystemspodcast.com/ai-llm-data-center-power-economics/–Sponsors:  Safebase | CheckReady to save time and close deals faster? Inbound security reviews shouldn't slow down your team or your sales cycle. Leading companies use SafeBase to eliminate up to 98% of inbound security questionnaires, automate workflows, and accelerate pipeline. Go to safebase.io/podcast Check is the leading payroll infrastructure provider and pioneer of embedded payroll. Check makes it easy for any SaaS platform to build a payroll business, and already powers 60+ popular platforms. Head to checkhq.com/complex and tell them patio11 sent you.–Recommended in this episode:Azeem's newsletter: https://www.exponentialview.co/ Azeem Azhar's guest essay: The 19th-Century Technology That Threatens A.I. https://www.nytimes.com/2024/12/28/opinion/ai-electricity-power-plants.htmlElectric Twin: https://www.electrictwin.com/ Video of Elon Musk's Colossus https://www.youtube.com/watch?v=Tw696JVSxJQ Complex Systems with Travis Dauwalter on the electrical grid: https://open.spotify.com/episode/5JY8e84sEXmHFlc8IR2kRb?si=35ymIC0UQ5SKdV8rrBcgIw Complex Systems with Austin Vernon on fracking: https://open.spotify.com/episode/0YDV1XyjUCM2RtuTcBGYH9?si=YshjUXPEQBiScNxrNaI-Gw Complex Systems with Casey Handmer on direct capture of CO2 to turn into hydrocarbon: https://open.spotify.com/episode/0GHegWgLSubYxvATmbWhQu?si=xNYBjn0ZTX2IT_pAZ5Ozsg –Twitter:@azeem@patio11–Timestamps:(00:00) Intro (00:27) The power economics of data centers(01:12) Historical infrastructure rollouts(04:58) The telecoms bubble (06:22) Unprecedented enterprise spend on AI capabilities(11:12) Let's have your LLM talk to my LLM(16:44) Is there a saturation point?(19:25) Sponsors: Safebase | Check(21:55) What's in a data center?(24:52) The challenges of data centers(29:40) Geographical considerations for data centers(36:53) Energy consumption and future needs(40:48) Challenges in building transmission lines(41:35) The solar power learning curve(43:51) Small modular nuclear reactors(51:26) Geothermal energy and fracking(01:01:34) The future of AI and energy systems(01:12:57) Wrap

P.M. Edition for Feb. 26. As new data centers to power artificial intelligence pop up across the U.S., tech leaders and politicians have promised a hiring bonanza. But as WSJ reporter Tom Dotan tells us, the number of jobs created in the long term is often more modest. Plus, President Trump's proposed tariffs are driving a wedge through the aluminum industry. Journal manufacturing and metals reporter Bob Tita discusses who is for and against the new tariffs, and the impact they would have on the industry. Plus, reporter Katherine Clarke talks about the newest category of the ultra-rich: the superbillionaire. Alex Ossola hosts. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Power demands for artificial intelligence will soar and the big tech giants are exploring hydrogen and nuclear energy solutions. Today's Stocks & Topics: GILD - Gilead Sciences Inc., Market Wrap, SBIT - ProShares UltraShort Bitcoin ETF, Big Tech Embraces Hydrogen and Nuclear Power for AI Data Centers, SII - Sprott Inc., Quantitative Analysis, NVR - NVR Inc., Economic News, Defense Spending, Investing a Million Dollars, BKIE - BNY Mellon International Equity ETF., Best Performing Sectors.Our Sponsors:* Check out Fabric: https://fabric.com/INVESTTALK* Check out Kinsta: https://kinsta.com* Check out Trust & Will: https://trustandwill.com/INVESTAdvertising Inquiries: https://redcircle.com/brands

The biggest AI breakthroughs won't come from Ph.D. labs — they'll come from people solving real-world problems. So how do AI founders actually turn cutting-edge research into real products and scale them? In this week's episode of Founded & Funded, Madrona Partner Jon Turow sat down with Jonathan Frankle, Chief AI Scientist at Databricks to talk about the shift from AI hype to real adoption — and what founders need to know. They dive into:  1) How AI adoption has shifted from hype to real-world production  2) The #1 mistake AI startups make when trying to sell to enterprises  3) Why your AI system shouldn't care if it's RAG, fine-tuned, or RLHF — it just needs to work  4) The unexpected secret to getting your first customers 5) The AI opportunity that most startups are overlooking  Transcript: https://www.madrona.com/databricks-ia40-ai-data-jonathan-frankle Chapters: (00:00) Introduction  (01:02) The Vision Behind MosaicML (04:11) Expanding the Mission at Databricks (05:52) The Concept of Data Intelligence (07:42) Navigating the AI Hype Cycle (15:10) Lessons from Early Wins at MosaicML  (20:50) Building a Strong AI Team (23:36) The Future of AI and Its Challenges  (24:06) Evolving Roles in AI at Databricks (25:55) Bridging Research and Product (28:29) High School Track at NeurIPS (30:39) AI Techniques and Customer Needs (38:22) Rapid Fire Questions and Lessons Learned (42:49) Exciting Trends in AI and Robotics (45:40) AI Policy and Governance

A Daily Chronicle of AI Innovations on February 24th 2025Listen at https://podcasts.apple.com/ca/podcast/ai-daily-news-feb-24-2025-grok-3-rebels-against-musk/id1684415169?i=1000695674722The development of home humanoid robots and AI-driven career tools demonstrates the increasing integration of AI into daily life. Concerns arise from incidents such as AI censorship, misuse of AI for surveillance, and the ethical implications of AI-generated recreations. Companies are making significant investments in AI infrastructure, whilst regulatory adjustments are being considered to encourage AI innovation. New tools can classify robots by their performance and allow for video analysis, indicating progress and an increasing use of AI. Overall, the chronicle paints a picture of rapid evolution alongside emerging challenges in the field.

On this episode of Crazy Wisdom, host Stewart Alsop speaks with Ivan Vendrov for a deep and thought-provoking conversation covering AI, intelligence, societal shifts, and the future of human-machine interaction. They explore the "bitter lesson" of AI—that scale and compute ultimately win—while discussing whether progress is stalling and what bottlenecks remain. The conversation expands into technology's impact on democracy, the centralization of power, the shifting role of the state, and even the mythology needed to make sense of our accelerating world. You can find more of Ivan's work at nothinghuman.substack.com or follow him on Twitter at @IvanVendrov.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction and Setting00:21 The Bitter Lesson in AI02:03 Challenges in AI Data and Infrastructure04:03 The Role of User Experience in AI Adoption08:47 Evaluating Intelligence and Divergent Thinking10:09 The Future of AI and Society18:01 The Role of Big Tech in AI Development24:59 Humanism and the Future of Intelligence29:27 Exploring Kafka and Tolkien's Relevance29:50 Tolkien's Insights on Machine Intelligence30:06 Samuel Butler and Machine Sovereignty31:03 Historical Fascism and Machine Intelligence31:44 The Future of AI and Biotech32:56 Voice as the Ultimate Human-Computer Interface36:39 Social Interfaces and Language Models39:53 Javier Malay and Political Shifts in Argentina50:16 The State of Society in the U.S.52:10 Concluding Thoughts on Future ProspectsKey InsightsThe Bitter Lesson Still Holds, but AI Faces Bottlenecks – Ivan Vendrov reinforces Rich Sutton's "bitter lesson" that AI progress is primarily driven by scaling compute and data rather than human-designed structures. While this principle still applies, AI progress has slowed due to bottlenecks in high-quality language data and GPU availability. This suggests that while AI remains on an exponential trajectory, the next major leaps may come from new forms of data, such as video and images, or advancements in hardware infrastructure.The Future of AI Is Centralization and Fragmentation at the Same Time – The conversation highlights how AI development is pulling in two opposing directions. On one hand, large-scale AI models require immense computational resources and vast amounts of data, leading to greater centralization in the hands of Big Tech and governments. On the other hand, open-source AI, encryption, and decentralized computing are creating new opportunities for individuals and small communities to harness AI for their own purposes. The long-term outcome is likely to be a complex blend of both centralized and decentralized AI ecosystems.User Interfaces Are a Major Limiting Factor for AI Adoption – Despite the power of AI models like GPT-4, their real-world impact is constrained by poor user experience and integration. Vendrov suggests that AI has created a "UX overhang," where the intelligence exists but is not yet effectively integrated into daily workflows. Historically, technological revolutions take time to diffuse, as seen with the dot-com boom, and the current AI moment may be similar—where the intelligence exists but society has yet to adapt to using it effectively.Machine Intelligence Will Radically Reshape Cities and Social Structures – Vendrov speculates that the future will see the rise of highly concentrated AI-powered hubs—akin to "mile by mile by mile" cubes of data centers—where the majority of economic activity and decision-making takes place. This could create a stark divide between AI-driven cities and rural or off-grid communities that choose to opt out. He draws a parallel to Robin Hanson's Age of Em and suggests that those who best serve AI systems will hold power, while others may be marginalized or reduced to mere spectators in an AI-driven world.The Enlightenment's Individualism Is Being Challenged by AI and Collective Intelligence – The discussion touches on how Western civilization's emphasis on the individual may no longer align with the realities of intelligence and decision-making in an AI-driven era. Vendrov argues that intelligence is inherently collective—what matters is not individual brilliance but the ability to recognize and leverage diverse perspectives. This contradicts the traditional idea of intelligence as a singular, personal trait and suggests a need for new frameworks that incorporate AI into human networks in more effective ways.Javier Milei's Libertarian Populism Reflects a Global Trend Toward Radical Experimentation – The rise of Argentina's President Javier Milei exemplifies how economic desperation can drive societies toward bold, unconventional leaders. Vendrov and Alsop discuss how Milei's appeal comes not just from his radical libertarianism but also from his blunt honesty and willingness to challenge entrenched power structures. His movement, however, raises deeper questions about whether libertarianism alone can provide a stable social foundation, or if voluntary cooperation and civil society must be explicitly cultivated to prevent libertarian ideals from collapsing into chaos.AI, Mythology, and the Need for New Narratives – The conversation closes with a reflection on the power of mythology in shaping human understanding of technological change. Vendrov suggests that as AI reshapes the world, new myths will be needed to make sense of it—perhaps similar to Tolkien's elves fading as the age of men begins. He sees AI as part of an inevitable progression, where human intelligence gives way to something greater, but argues that this transition must be handled with care. The stories we tell about AI will shape whether we resist, collaborate, or simply fade into irrelevance in the face of machine intelligence.

This podcast episode explores the intersection of AI and healthcare, focusing on drug development, repurposing, and access to medical treatments. Mika Newton speaks with Bob Battista about the challenges of sharing pharmaceutical data, regulatory barriers, and how AI could enhance clinical decision-making. They discuss real-world data, patient knowledge, and the role of technology in optimizing treatment pathways. The conversation also touches on privacy laws, governance, and the potential for AI to empower patients with better access to medical insights. Viewers will gain a deeper understanding of how innovation and policy changes could improve healthcare outcomes.

Meta DC in northeast LA: 4M sqft, infrastructure and build increases in a rural areaAI testing of scripts for fun: good, better, best from the major brandsNorthern VA power demand up from 21GW to 40GW since July 2024Support the show

Things aren't great in the world of data practitioners. Lots of technical debt and lack of pride in one's craft. The pressure to do more with less only compounds this problem. And AI will make it far worse.If you think the amount of poorly made data architecture and models is bad now, I think we're in for another level very soon. With AI CoPilot on the rise, right as data skills and knowledge decline, I'm increasingly worried we'll offload our critical thinking and skills to AI. The outcome will be an ever expanding Great Pacific Garbage Patch of AI Data Slop.

Supercharge your analysis with AI! Get 15% of your membership with our special link here: https://finchat.io/csi/Join us on Discord with Semiconductor Insider: https://ko-fi.com/chipstockinvestor/tiersSafeguard your personal information with Aura's monitoring service – try it free for two weeks and see where your data might be lurking: https://aura.com/chipstockinvestor

Plus, Chinese internet company Baidu reports lower revenue but doubles its profit. And truck maker Scania agrees to buy Northvolt's heavy industry business. Charlotte Gartenberg hosts.  Learn more about your ad choices. Visit megaphone.fm/adchoices

We couldn't decide what to talk to Allie about, so we're going with a bit of everything. Don't worry - it's all related and ties together nicely. First, we'll discuss AI and automation in the SOC - Allie is covering this trend closely, and we want to know if she's seeing any results yet here. Next, we'll discover SecOps data management - the blood that delivers oxygen to the SOC muscles. Finally, we'll discuss MITRE's recent EDR evaluations - there was some contention around some vendors claiming to ace the test and we're going to get the tea on what's really going on here! For each of these three topics, these are the blog posts they correspond with if you want to learn more: Generative AI Will Not Fulfill Your Autonomous SOC Hopes (Or Even Your Demo Dreams) If You're Not Using Data Pipeline Management For Security And IT, You Need To Go Beyond The MITRE ATT&CK Evaluation To The True Cost Of Alert Volumes Show Notes: https://securityweekly.com/esw-394

We couldn't decide what to talk to Allie about, so we're going with a bit of everything. Don't worry - it's all related and ties together nicely. First, we'll discuss AI and automation in the SOC - Allie is covering this trend closely, and we want to know if she's seeing any results yet here. Next, we'll discover SecOps data management - the blood that delivers oxygen to the SOC muscles. Finally, we'll discuss MITRE's recent EDR evaluations - there was some contention around some vendors claiming to ace the test and we're going to get the tea on what's really going on here! For each of these three topics, these are the blog posts they correspond with if you want to learn more: Generative AI Will Not Fulfill Your Autonomous SOC Hopes (Or Even Your Demo Dreams) If You're Not Using Data Pipeline Management For Security And IT, You Need To Go Beyond The MITRE ATT&CK Evaluation To The True Cost Of Alert Volumes Show Notes: https://securityweekly.com/esw-394

Your AI is only as good as the data its trained on. In this episode we talk to Krishna Subramaniam, Co-Founder and President of Komprise, a provider of intelligent Data Management. We discuss both the importance and challenge of unlocking the value unstructured data for AI pipelines. For more info on Komprise's Intelligent Data Management Platform:www.komprise.comAWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com

Ethical concerns about the use of AI have to start with training data. Too often, the primary concern is simply generating sufficient data, rather than understanding its nature. Emily Jasper and Abby Simmons are back to continue the conversation started in episode 198 with host Eric Hanselman. With generative AI, the data is the application in its most formative sense. Unlike traditional application development, where the expectation is that functionality will be expanded in later releases, GenAI applications require careful design of training data before training takes place. The perspectives contained in data age rapidly and model training doesn't differentiate between outdated and current indications. Old data can effectively poison model outputs. Businesses risk alienating customers with models that are trained with data that don't properly represent them. This is particularly true with marginalized communities, where language and context can change over shorter time frames. While there is research work on model retraining, work in AI today has to focus on effective data quality management. DeepSeek is causing a significant rethinking. Human data cleansing can be effective, but can't scale to AI demands. Data workbench tools and synthetic data approaches can help, but better automation is needed to ensure that data sets are truly representative. Data collection and data sourcing need much greater attention to ensure that model results can engage the target audience and not be a liability. It's a fundamental question of accountability that requires thinking in ways that are different than legacy development processes. Mentioned in this episode: https://transtechtent.com https://kevinguyan.com/queer-data/  More S&P Global Content: Webinar: AI in Action: Leveraging NLP to Answer Subjective Questions 2025 Trends in Data, AI & Analytics Take 5: Data quality and AI — a bidirectional relationship Compliance automation, Part 1: Governance, risk and compliance, or something new? Credits: Host/Author: Eric Hanselman Guests: Emily Jasper, Abby Simmons Producer/Editor: Kyle Cangialosi and Odesha Chan Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

A Daily Chronicle of AI Innovations on February 07th 2025

What does DeepSeek's efficiency breakthrough and the Stargate Project mean for the adoption of AI, data-center growth, power consumption and cooling-system demand? In this episode of Bloomberg Intelligence's Tech Disruptors podcast, Abhijit Dubey, CEO of NTT DATA Group, sits with Omid Vaziri, BI senior analyst, to examine new trends in AI and cloud infrastructure, growth expectations and challenges. They discuss space-based data centers, optical and wireless networks replacing electronics with photonics and likely power sources. They also talk about what gen-AI adoption could mean for the industry's operating margins and key factors to consider in its implementation. Workforce upskilling efforts needed to upgrade human capacity to adopt gen-AI makes advances in cost-efficiency from the likes of DeepSeek highly welcomed news.

Partner Janine Anthony Bowen sits down one-on-one with current Chief Information Officers in the new series, “Technology from the Top: AI, Data and the Future of Business with Today's CIOs” to discuss how they are adjusting to the everchanging technological landscape in their respective industries. Today's episode will feature an in-depth conversation with Janine on the impact artificial intelligence has on energy consumption.Questions & Comments: jbowen@bakerlaw.com

The premiere episode of season two of Deloitte's AI360 podcast features Patricia Henderson, AI & Data principal for Deloitte's Industrial Products and Construction practice. Host Jim Rowan talks to Patricia about AI's impact in three key areas: engineering and design, manufacturing efficiency, and aftermarket services.

In this action-packed episode of Security Squawk, we dive deep into the latest cybersecurity incidents shaking up industries worldwide. From ransomware attacks on critical blood centers to sophisticated hacks on WhatsApp, we cover it all. Our expert panel discusses: The crippling ransomware attack on New York Blood Center and its ripple effects in Kansas City Meta's confirmation of a WhatsApp hack targeting journalists and activists Tata Technologies' ransomware incident and its implications for global tech DeepSeek's massive AI data leak exposing over 1 million sensitive records New York's game-changing updates to data breach notification laws MGM Resorts' eye-watering $45 million data breach settlement Plus, we break down what these incidents mean for you and how to stay protected in an increasingly digital world. Don't miss this critical discussion on the evolving landscape of cybersecurity threats and defenses. Whether you're a tech enthusiast, business owner, or concerned citizen, this episode has something for everyone.

Fund your account in five minutes or less at https://www.public.com/CSI and get up to $10,000 when you transfer your old portfolio. Join us on Discord with Semiconductor Insider: https://ko-fi.com/chipstockinvestor/tiers Is Meta spending on Nvidia AI out of control? How long can the data center super-cycle last? And is Meta stock still a good buy after an epic run the last couple of years? Chip Stock Investor explains some important points for investors in the AI boom, and discusses expectations for CapEx in 2025. Supercharge your analysis with AI! Get 15% of your membership with our special link here: https://finchat.io/csi/ Affiliate links that are sprinkled in throughout this video. If something catches your eye and you decide to buy it, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction! Content in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. #meta #metastock #nvidia #nvidiastock #gpu #datacenter #semiconductors #chips #investing #stocks #finance #financeeducation #silicon #artificialintelligence #ai #financeeducation #chipstocks #finance #stocks #investing #investor #financeeducation #stockmarket #chipstockinvestor #fablesschipdesign #chipmanufacturing #semiconductormanufacturing #semiconductorstocks Nick and Kasey own shares of Meta and Nvidia Public Disclosure: All investing involves the risk of loss, including loss of principal. Brokerage services for US-listed, registered securities, options and bonds in a self-directed account are offered by Public Investing, Inc., member FINRA & SIPC. Public Investing offers a High-Yield Cash Account where funds from this account are automatically deposited into partner banks where they earn interest and are eligible for FDIC insurance; Public Investing is not a bank. Cryptocurrency trading services are offered by Bakkt Crypto Solutions, LLC (NMLS ID 1890144), which is licensed to engage in virtual currency business activity by the NYSDFS. Cryptocurrency is highly speculative, involves a high degree of risk, and has the potential for loss of the entire amount of an investment. Cryptocurrency holdings are not protected by the FDIC or SIPC. A Bond Account is a self-directed brokerage account with Public Investing, member FINRA/SIPC. Deposits into this account are used to purchase 10 investment-grade and high-yield bonds. The 6%+ yield is the average, annualized yield to worst (YTW) across all ten bonds in the Bond Account, before fees, as of 12/13/2024. A bond's yield is a function of its market price, which can fluctuate; therefore, a bond's YTW is not “locked in” until the bond is purchased, and your yield at time of purchase may be different from the yield shown here. The “locked in” YTW is not guaranteed; you may receive less than the YTW of the bonds in the Bond Account if you sell any of the bonds before maturity or if the issuer defaults on the bond. Public Investing charges a markup on each bond trade. See our Fee Schedule. Bond Accounts are not recommendations of individual bonds or default allocations. The bonds in the Bond Account have not been selected based on your needs or risk profile. See Bond Account Disclosures to learn more. Alpha is an AI research tool powered by GPT-4. Alpha is experimental and may generate inaccurate responses. Output from Alpha should not be construed as investment research or recommendations, and should not serve as the basis for any investment decision. Public makes no warranties about its accuracy, completeness, quality, or timeliness of any Alpha out. Please independently evaluate and verify any such output for your own use case. *Terms and Conditions apply.

The 1990s saw the explosion of the internet, transforming the global economy and social development in ways we could have never imagined. But will AI truly have the same impact? While its potential is undeniable, the road ahead is full of risks, challenges, and ethical concerns. Will AI drive efficiency and innovation, or will it create new vulnerabilities that companies must scramble to control?In this episode of Corruption, Crime, and Compliance, Michael Volkov dives deep into the legal, ethical, and compliance challenges surrounding AI. He explores how businesses are navigating AI adoption, the risks they face, and the safeguards they must implement to protect themselves.You'll hear him discuss:Why AI's economic impact, while significant, may not match the transformative power of the internetGoldman Sachs' prediction that AI could add $7 trillion to global GDP over the next decadeThe massive investments required to scale AI, from semiconductors and data centers to energy and infrastructureHow generative AI is reshaping industries by creating human-like content with limitless applicationsThe hidden dangers of AI, including misinformation, deepfakes, fraud, and identity theft risksWhy businesses are cautiously adopting AI while grappling with privacy, copyright, and security concernsThe importance of AI compliance programs to mitigate legal, ethical, and reputational risksBest practices for companies to ensure AI-generated content is accurate, transparent, and responsibly usedResourcesMichael Volkov on LinkedIn | X (Twitter)The Volkov Law Group

In this episode of the Other Side of the Firewall podcast, the hosts discuss the latest cybersecurity news, focusing on the recent breach of the DeepSeek AI database. They explore the implications of this breach for the AI industry, the challenges faced by startups in maintaining security, and the broader impact on market dynamics and privacy regulations. The conversation emphasizes the need for robust security measures in the rapidly evolving tech landscape. Article: DeepSeek AI Database Exposed: Over 1 Million Log Lines, Secret Keys Leaked https://thehackernews.com/2025/01/deepseek-ai-database-exposed-over-1.html?m=1&fbclid=IwZXh0bgNhZW0CMTAAAR3wwq78tAR4BpHrSlFgNfqB_0B1IKuGHn_fV-CZEX3XF84r47p4JQ_Vu2Q_aem_9h6h9QtJ_QWYRMV6PiiQ0w Please LISTEN

#AI: Data Centers and natural gas generated electricity demand. Henry Sokolski, NPEC 1951 The Day the Earth Stood Still

Preview: Colleague Henry Sokolski Advocates Private Natural Gas-Fueled Electricity as Superior Solution for AI Data Center Power Demands. More Later. 1940

In this episode of the Fail Faster Podcast, Gurdeep Singh, a seasoned solution architect at Chubb with over 25 years in the technology sector, shares his fascinating journey from dismantling radios in his childhood to tackling large-scale modernization projects in financial services. Gurdeep discusses the complexities of legacy system transformation, navigating organizational resistance, and the power of aligning business and technology for impactful change. He also shares his insights on leveraging AI responsibly, building strong data foundations, and fostering collaboration across all levels of an organization. Packed with lessons learned from career-defining challenges and forward-looking strategies, this episode is a must-listen for anyone aiming to modernize systems while keeping people at the heart of innovation.

President Donald Trump brought the leaders of OpenAI, Oracle and SoftBank to the White House this week, and announced they will spend $500 billion to build AI data centers. But Trump's photo-op moment was quickly dissed online by his Silicon Valley confidante, Elon Musk. On POLITICO Tech, E&E News energy technology editor Christa Marshall joins host Steven Overly to discuss the new AI initiative, called Stargate. Plus, all three of President Donald Trump's nominees to lead the Department of Energy, the Department of Interior, and the Environmental Protection Agency are advancing to a full Senate vote. Learn more about your ad choices. Visit megaphone.fm/adchoices

Drex covers Hewlett Packard Enterprise investigating claims from a hacking group, Intel Broker, who alleges access to sensitive data, including source code and private keys. Next, explore research revealing the risks of employees entering sensitive data into generative AI tools, highlighting governance challenges. Finally, get the latest on Ascension Health's February 2024 data breach and their ongoing response efforts. Remember, Stay a Little Paranoid Subscribe: This Week Health Twitter: This Week Health LinkedIn: Week Health Donate: Alex's Lemonade Stand: Foundation for Childhood Cancer

Prince Varma, global vice president, and Ben Blanquera, VP of technology and sustainability, both of Rackspace Technology, discuss a recent survey.

OpenAI and Softbank team up for a $500 billion AI data center venture, another subscription price hike for Netflix, and Instagram blocked searches for #democrats and other political hashtags. It's Wednesday, January 22nd and this is Engadget News. There's more to these stories and more tech news at Engadget.com. This episode featured journalism from Mariella Moon, Anna Washenko, and Karissa Bell and was voiced and produced from the sound studios of SpokenLayer. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Fei-Fei Li is a pioneering AI scientist breaking new ground in computer vision, a Stanford professor, and currently leading the innovative start-up World Labs. While her career is deeply rooted in technical expertise, Dr. Li's journey is driven by an insatiable curiosity. In this episode, Brad and Dr. Li reflect on poignant moments from her memoir, "The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI," highlighting the crucial role of keeping humanity at the center of AI development. They also explore how government-funded academic research, driven by curiosity rather than profits, can lead to unexpected and profound discoveries that propel innovation and economic opportunities.Click here for the episode transcript.

In this episode of Leader Generation, Tessa Burg welcomes Kevin Purvis, managing partner at Cothrom Risk and Insurance Services, to discuss the growing risks marketers face in today's fast-evolving digital landscape.  From data privacy laws like CCPA and GDPR to the increasing use of AI tools in marketing, Kevin sheds light on the vulnerabilities these innovations bring and how marketers can address them proactively. Listeners will gain valuable insights into safeguarding their marketing strategies, building cross-departmental collaboration, and using insurance as a safety net for emerging risks.  Leader Generation is hosted by Tessa Burg and brought to you by Mod Op.  About Kevin Purvis: Kevin Purvis is the Managing Partner of Cothrom Risk & Insurance Services, an insurance brokerage focused on innovation businesses such as technology, med-tech, life sciences and advanced manufacturing. An 18-year insurance veteran, he is a Chartered Property Casualty Underwriter (CPCU) and prior Chair of TechAssure (techassure.org). He, his wife, and four kids live in Fort Lauderdale, Florida, and are all avid mountain bikers. About Tessa Burg: Tessa is the Chief Technology Officer at Mod Op and Host of the Leader Generation podcast. She has led both technology and marketing teams for 15+ years. Tessa initiated and now leads Mod Op's AI/ML Pilot Team, AI Council, and Innovation Pipeline. She started her career in IT and development before following her love for data and strategy into digital marketing. Tessa has held roles on both the consulting and client sides of the business for domestic and international brands, including American Greetings, Amazon, Nestlé, Anlene, Moen and many more. Tessa can be reached on LinkedIn or at Tessa.Burg@ModOp.com.  

Joe Biden signs executive order to speed AI data center construction Please Subscribe + Rate & Review KMJ’s Afternoon Drive with Philip Teresi & E. Curtis Johnson wherever you listen! --- KMJ’s Afternoon Drive with Philip Teresi & E. Curtis Johnson is available on the KMJNOW app, Apple Podcasts, Spotify, Amazon Music or wherever else you listen. --- Philip Teresi & E. Curtis Johnson – KMJ’s Afternoon Drive Weekdays 2-6 PM Pacific on News/Talk 580 & 105.9 KMJ DriveKMJ.com | Podcast | Facebook | X | Instagram --- Everything KMJ: kmjnow.com | Streaming | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

Joe Biden signs executive order to speed AI data center construction Please Subscribe + Rate & Review KMJ’s Afternoon Drive with Philip Teresi & E. Curtis Johnson wherever you listen! --- KMJ’s Afternoon Drive with Philip Teresi & E. Curtis Johnson is available on the KMJNOW app, Apple Podcasts, Spotify, Amazon Music or wherever else you listen. --- Philip Teresi & E. Curtis Johnson – KMJ’s Afternoon Drive Weekdays 2-6 PM Pacific on News/Talk 580 & 105.9 KMJ DriveKMJ.com | Podcast | Facebook | X | Instagram --- Everything KMJ: kmjnow.com | Streaming | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

Send me a messageWelcome to 2025, and to the 49th episode of the Sustainable Supply Chain podcast, my first for the year!In this episode, I had the pleasure of chatting with Jenna Fink, Principal of Research at Zero100, about the evolving intersection of sustainability and supply chains. With her diverse experience—from Amazon's high-speed operations to Bayer's more structured approach—Jenna offers fascinating insights into what drives sustainability initiatives and how businesses can balance priorities.We delved into some pressing questions: Where is the push for sustainability coming from—employees, customers, investors, or regulators? And how do companies ensure that sustainability isn't just an added burden, but rather an opportunity to enhance efficiency and resilience?One major takeaway was the significance of Scope 3 emissions reporting, often seen as the most challenging but also the most transformative for organisations. Jenna shared practical strategies to get started—leveraging existing data, collaborating with suppliers, and finding the internal champions who can drive change.We also explored the role of AI in reducing waste and improving efficiency. Jenna highlighted projects like PepsiCo's Perfect Sorting Consortium, showing how AI tools can enable smarter, more sustainable decision-making.Finally, we touched on the human side of sustainability transformations—prioritisation struggles, cultural shifts, and the value of tying sustainability wins to cost savings or operational efficiency to make the case clear across organisations.If you're grappling with sustainability in your supply chain, this episode is packed with pragmatic advice and actionable insights to help you navigate the regulatory landscape anElevate your brand with the ‘Sustainable Supply Chain' podcast, the voice of supply chain sustainability.Last year, this podcast's episodes were downloaded over 113,000 times by senior supply chain executives around the world.Become a sponsor. Lead the conversation.Contact me for sponsorship opportunities and turn downloads into dialogues.Act today. Influence the future.Support the showPodcast supportersI'd like to sincerely thank this podcast's generous supporters: Lorcan Sheehan Olivier Brusle Alicia Farag Kieran Ognev And remember you too can Support the Podcast - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one.Podcast Sponsorship Opportunities:If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!FinallyIf you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn, or send me a text message using this link.If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks for listening.

Plus, shares of Rivian soar after the electric-vehicle maker beats delivery expectations. And, China will expand consumer subsidies to include smartphones and tablets in an effort to spur domestic spending. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Adam Nagus is a digital transformation leader who has built award-winning digital and data capabilities for organizations like Accenture and FTI Consulting, along with founding Digimasters. Adam's expertise spans strategic workforce planning, generative AI, and design thinking, making him a thought leader in the AI-powered world. In this conversation, we explored: Building and managing AI-focused teams, The importance of empathy and storytelling in data visualization, Integrating AI into organizations for real business outcomes. EPISODE LINKS: Adam Nagus on Twitter: https://x.com/ScubaDam Adam Nagus on LinkedIn: https://www.linkedin.com/in/adamnagus/ Adam's Website: http://digimasters.co.uk/ TIMESTAMPS: 00:00:00 Intro00:00:26 What's the next idea?00:05:08 LLMs and language CONNECT: Website: https://hoo.be/elijahmurray YouTube: https://www.youtube.com/@elijahmurray Twitter: https://twitter.com/elijahmurray Instagram: https://www.instagram.com/elijahmurray LinkedIn: https://www.linkedin.com/in/elijahmurray/ Apple Podcasts: https://podcasts.apple.com/us/podcast/the-long-game-w-elijah-murray/ Spotify: https://podcasters.spotify.com/pod/show/elijahmurray RSS: https://anchor.fm/s/3e31c0c/podcast/rss

In this episode, we dive into the transformative world of AI, data analytics, and cloud infrastructure with Josh Miramant, CEO of Blue Orange Digital. As a seasoned entrepreneur with over $25 million raised across ventures and two successful exits, Josh shares invaluable insights on scaling data-driven businesses, integrating machine learning frameworks, and navigating the rapidly evolving landscape of cloud data architecture. From generative AI to large language models, Josh explores cutting-edge trends shaping financial services, real estate, and consumer goods. Tune in for a masterclass in leveraging data for impact and innovation!   Links https://blueorange.digital/ https://blueorange.digital/blog/a-data-intelligence-platform-what-is-it/ https://blueorange.digital/blog/ai-makes-bi-tools-accessible-to-anyone/    

Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com Cybersecurity professionals like to talk about data “at rest” and data “in transit.”  They never mention how exactly this concept of “in transit” takes place. Once upon a time, in a data center far, far away, one could take a database and move it easily. Kind of like taking a suitcase in your car and driving across town. Today, federal agencies are deluged with so much data, is it more like dragging your entire house across town? Moving data today involves concepts like data tiring. This is an approach where data is taken to a third place and transferred from there. Due to limitations of latency, network bandwidth, and compliance concerns, this is a process that can take way more time than can be imagined. You may have some highly compensated data scientists waiting days for a complete transfer. Let us take another scenario. What if your agency has some data stored in a specific cloud provider? It may be discovered that charges were higher than expected and the data need to be returned to the on prem environment. If not done properly, this transition can be fraught with issues. Further, many federal agencies are sitting a veritable treasure trove of data, both structured and unstructured. These could be images, text, email, or video. Pure Storage offers ways to derive value from a wide variety of unstructured data. structured and unstructured data. These could be images, text, email, or video. Pure Storage offers ways to derive value from various unstructured data.  

In Episode 142 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes are joined by Kelly Powers, a fellow middle school educator and curriculum designer, to explore the dynamic world of middle school instruction. As a passionate advocate for computational thinking, Powers shares valuable insights on introducing students to the concepts of AI, data science, and cybersecurity in a way that is both rigorous and joyful. Topics Covered Engaging Middle School Students: Strategies for capturing and maintaining student interest. Creativity and Collaboration: How to foster a collaborative environment that inspires creativity. Core Computational Concepts: Real-world applications that make these concepts accessible and interesting. Data Science Projects: Practical advice on integrating data science into your curriculum. Generative AI Ethics: Discussing the ethical use of AI in education. Python as a Teaching Tool: Exploring the versatility of Python for various projects. Key Takeaways Integrating Computational Thinking Skills: Tips on how to weave these skills into everyday classroom routines. Teamwork and Communication: The importance of teamwork and effective communication in coding projects. Engaging Lessons with Python: How Python can be used to create engaging and meaningful projects for students. About Kelly Powers Kelly Powers transitioned from the business world to education, bringing a fresh perspective on teaching computational thinking. She offers invaluable insights into making rigorous and joyful learning experiences for middle school students. Whether you are an experienced teacher or new to the field, this episode is packed with actionable ideas and inspirational moments that will help you create a more engaging and effective learning environment. Tune in for a lively conversation that celebrates the magic of middle school teaching and the endless possibilities of computer science education. Listen to the episode: Teaching Python Podcast (https://www.teachingpython.fm/142) Follow us on Social Media: - Twitter (https://twitter.com/teachingpython) - Facebook (https://www.facebook.com/teachingpython) - LinkedIn (https://www.linkedin.com/company/teaching-python) ``` Special Guest: Kelly Powers.

There is no AI without data. Host David Nicholson is joined by Dell Technologies' Global Portfolio Lead, AI, Apps & Data Services, Beth Williams on this episode of the Six Five On The Road at SC24. Beth and David discuss the importance of data in virtually any AI use case and how Dell is addressing the challenges of AI Data Management. Tune in for more on ⤵️ Data-related challenges organizations face when adopting AI, including: ✅ Managing massive data volumes ✅ Ensuring data quality ✅ Meeting AI-specific regulatory standards ✅ Adapting to the demands of AI development and deployment. Techniques and technologies organizations can adopt to address AI Data Management challenges Dell's Data Management Services, including optimization and implementation services for data cataloging and pipelines, and Dell's collaboration with leading technology providers to offer advanced data management for AI  

Send me a messageIn this episode of the Sustainable Supply Chain podcast, I sit down with Kayla Broussard, CTO for the Consumer and Travel Market at Kyndryl, to explore how data and technology are reshaping supply chains to be more resilient, efficient, and sustainable.Kayla walks us through some of the biggest challenges in supply chains today, from waste generated by defective products and discarded materials to fragile global networks vulnerable to disruption. She explains how technologies like AI, machine learning, blockchain, and digital twins are being deployed to address these challenges, creating smarter, more connected supply chains.We dive into real-world examples from industry leaders like Walmart, Unilever, Tesla, and Procter & Gamble, examining how data-powered strategies are reducing food waste, optimising transport routes, and improving resource efficiency. Kayla also shares insights into the often-overlooked environmental cost of managing data itself and offers practical tips for companies to reduce their digital carbon footprint.One standout theme in our conversation is the concept of treating data as a product. Kayla discusses how this approach enables companies to foster better collaboration and drive innovation by making data more accessible and actionable across their supply chain ecosystems.We also touch on emerging technologies like private 5G networks, IoT devices, and AI-driven automation, which are enhancing visibility and efficiency across the supply chain. KElevate your brand with the ‘Sustainable Supply Chain' podcast, the voice of supply chain sustainability.Last year, this podcast's episodes were downloaded over 113,000 times by senior supply chain executives around the world.Become a sponsor. Lead the conversation.Contact me for sponsorship opportunities and turn downloads into dialogues.Act today. Influence the future.World of Work Experts on the People and Performance PodcastInterviews with experts and business leaders focused on ways to inspire employees.Support the showPodcast supportersI'd like to sincerely thank this podcast's generous supporters: Lorcan Sheehan Olivier Brusle Alicia Farag Kieran Ognev And remember you too can Support the Podcast - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one.Podcast Sponsorship Opportunities:If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!FinallyIf you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn, or send me a text message using this link.If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks for listening.

Asher Genoot, CEO of HUT 8, discusses the company's multifaceted approach to energy, AI data centers, and Bitcoin mining. Asher emphasizes the importance of energy in supporting AI and data center demands, as well as the strategic role of Bitcoin in HUT 8's business model. The discussion also touches on partnerships, innovations in mining infrastructure, and the future outlook for Bitcoin and energy technology. Hosted by Ann Berry. The content of the video is for general and informational purposes only. All views presented in this show reflect the opinions of the guest and the host. You should not take a mention of any asset, be it cryptocurrency or a publicly traded security as a recommendation to buy, sell or hold that cryptocurrency or security. Guests and hosts are not affiliated with or endorsed by Public Holdings or its subsidiaries. You should make your own financial and investment decisions or consult respective professionals. Full disclosures are in the channel description. Learn more at Public.com/disclosures. Past performance is not a guarantee of future results. There is a possibility of loss with any investment. Historical or hypothetical performance results, if mentioned, are presented for illustrative purposes only. Do not infer or assume that any securities, sectors or markets described in the videos were or will be profitable. Any statements of future expectations and other forward-looking statements are strictly based on the current views, opinion, or assumptions of the person presenting them, and should not be taken as an indicator of performance nor should be relied upon as an investment advice.

 Vik Patel, COO at Tido Inc. joins Sarah for the news. Vik shares his journey from hospital IT to founding Tido Inc., discussing the nuanced challenges of integrating AI and the role of strong governance frameworks in avoiding unintended biases. Together, we tackle questions of strategic prioritization, from the intricacies of data migration and legacy archiving to the pressing need for reliable, responsive tech solutions in high-stakes clinical environments. Through the lens of real-world applications, the episode raises important considerations about balancing innovation with practicality in healthcare IT.Key Points:04:09 The Importance of AI Governance in Healthcare07:27 Challenges and Solutions in Healthcare IT20:00 Practical AI Applications and Integration30:49 Conclusion and Final ThoughtsNews articles:Dr. Patrick McGill Urges Health Systems to Establish AI Governance Early'AI is like tuition': CommonSpirit CIO's approach to AI hypeChatGPT overprescribed emergency treatment: UCSF studySupport the showListen to all This Week in Health Tech episodesVik Patel - LinkedInTido Inc. - WebsiteTido Inc. - LinkedIn

Dec 6, 2024 – Financial Sense Newshour's Jim Puplava interviews Mark Mills, Executive Director of the National Center for Energy Analytics, on the rapidly growing demand for electricity in the US, driven by AI, data centers, EVs, reshoring of...

This Week in Startups is brought to you by… Vanta. Compliance and security shouldn't be a deal-breaker for startups to win new business. Vanta makes it easy for companies to get a SOC 2 report fast. TWiST listeners can get $1,000 off for a limited time at https://www.vanta.com/twist OpenPhone. Create business phone numbers for you and your team that work through an app on your smartphone or desktop. TWiST listeners can get an extra 20% off any plan for your first 6 months at https://www.openphone.com/twist⁠ Sprig. The Product Experience platform that generates AI-powered opportunities to continuously improve your product at scale. Visit https://www.sprig.com/twist to book a demo and get a $75 gift card. * Todays show: Jason and Alex dig into why Nvidia's latest earnings report is such a big deal, and how the chip giant could help keep the AI hype alive. Or, how it could poke a hole in market enthusiasm. The pair also welcome the CEO of Allen Control Systems to discuss building venture-backed defense companies. Then, the CEO of Querio joins the show to show off what his company has built. * Timestamps: (0:00) Jason and Alex kick off the show (1:32) Nvidia's expected $33B revenue and its transition from gaming GPUs to AI workloads. (9:01) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist (10:05) Nvidia's growth over time (15:55) When will an Nvidia lighthouse customer switch to a competitor's product? (22:28) OpenPhone - Get 20% off your first six months at https://www.openphone.com/twist⁠ (23:28) Allen Control Systems' Steven Simoni joins the show (32:38) Sprig - Visit https://www.sprig.com/twist to book a demo and get a $75 gift card. (33:52) The rise of venture-backed defense startups and autonomous systems for military applications (50:20) Querio's Rami Abi Habib joins the show (55:38) Demo of Querio's platform * Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp * Mentioned on the show: Check out Allen Control Systems: https://www.allencontrolsystems.com Check out Querio: https://querio.ai * Follow Steven: X: https://x.com/stevensimoni LinkedIn: https://www.linkedin.com/in/stevensimoni * Follow Rami: X: https://x.com/ramiabih LinkedIn: https://www.linkedin.com/in/datarami * Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm * Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Thank you to our partners: (9:01) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist (22:28) OpenPhone - Get 20% off your first six months at https://www.openphone.com/twist⁠ (32:38) Sprig - Visit https://www.sprig.com/twist to book a demo and get a $75 gift card. * Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland * Check out Jason's suite of newsletters: https://substack.com/@calacanis * Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com * Subscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916