Podcasts about Arvind

For Arvind Arcot and Astrid Ries discuss how BAs are proactive problem-solvers, not passive document writers. For them it's all about questioning initiatives before jumping to solutions, avoiding technical debt, and using AI as a critical-thinking assistant.Arvind and Astrid are about challenging assumptions early by asking why before how. Astrid shares an example where she redirected an organization away from expensive software toward education and process improvement. Arvind highlights that jumping to solutions without defining problems is a major red flag on projects, and that as AI matures, strong analytical and critical thinking skills will matter most for BAs.YouTube: https://youtu.be/UzNnmMd1_og

1.    A single leak is a crime. A repeated leak is a system failure.After the 2024 NEET leak, the Radhakrishnan Committee gave roughly 95 fixes — about 60 short-term and 35 long-term — most of them reported as already implemented. Yet NEET-UG 2026 still had to be scrapped, with the Supreme Court itself observing that the agency had not learnt its lesson. When reform is announced but not delivered, the fault is no longer the question paper. It is accountability.2.    Two failures, one diagnosis: a broken gate at entry and at exit.In a single fortnight we saw a paper leak at the entrance gate — NEET — and a marking fiasco at the exit gate — the CBSE Class-12 On-Screen Marking, where students say the scanned answer-sheets do not even match their own handwriting. Some 18.5 million CBSE students; over 80 lakh NTA candidates a year. This is not bad luck twice. It is one institutional weakness showing up at both ends of a child's career.3.    An exam is the price of a year of a young Indian's life — and we are taxing it twice.A cancelled NEET, a re-test on 21 June, a disputed board result — each is lost time, lost fees, lost confidence, compounding. And this lands on a generation where graduate joblessness already runs above 13 percent — three to four times the national average of about 3 percent. We cannot also burden the young with doubt over whether the exam itself is honest.4.    Accountability — yes. Scapegoating and demolition — no.Transferring the CBSE chairman and secretary is, at best, a first step, not a reform. A recent national poll found about two-thirds of citizens want the Education Minister to resign and six in ten want the NTA dismantled. Heads of institutions must answer — I say that plainly. But I will not be misunderstood: scrapping the testing agency overnight, with lakhs of candidates already in the pipeline, risks a larger vacuum than the one we are filling. Fix the architecture; do not merely change the nameplate or burn an effigy.5.    Turn the outrage into engineering — the grievance is legitimate; the despair is not the answer.Equally, demanding accountability is not ‘anti-national.' Genuine dissent and manufactured despair both exist; conflating them is its own danger. 

In this episode of Data in Biotech, host Ross Katz sits down with Arvind Rao, Professor of Computational Medicine and Bioinformatics at the University of Michigan, for a discussion on the gap between what biomedical AI can do and what it can reliably be trusted to do in clinical practice. Arvind's research sits at the intersection of computational oncology and AI governance and his lab works across H&E histopathology, multiplex immunofluorescence, spatial transcriptomics, and single-cell RNA sequencing, not just to build predictive models, but to understand the full lifecycle from data to model to inference, and to ask where that lifecycle can be trusted and where it can't.  The conversation moves through two of his recent papers on SPIFEE, a graph-based framework that replaces scalar interaction scores in the tumor microenvironment with spatially resolved functional representations, and a multimodal framework that traces a path from stained tissue slides to nominated drug targets via morphological pattern discovery and spatial transcriptomic mapping.  What you'll learn in this episode:  >> Why the field's central failure is not algorithmic but translational and the gap between a model that performs well on a benchmark and one that can be consistently trusted in a high-stakes clinical setting  >> How SPIFEE replaces the conventional scalar edge representation of cell-cell interactions in the tumor microenvironment with spatially resolved functional edges >> How Arvind's multimodal framework moves from H&E pathology slides labeled with clinical outcomes, through morphological pattern discovery via multiple instance learning, to spatial transcriptomic mapping, to the nomination of molecular mechanisms and actionable drug targets >> Why Goodhart's Law applies directly to foundation model evaluation in biology  >> What the AI literacy gap costs when it goes unaddressed in healthcare and pharma organizations  Meet our guest: Arvind Rao is a Professor of Computational Medicine and Bioinformatics, with a joint appointment in Radiation Oncology, at the University of Michigan. His research focuses on establishing trust in biomedical AI predictions across the full data-to-decision pipeline, integrating H&E histopathology, spatial transcriptomics, multiplex immunofluorescence, and single-cell RNA sequencing to build models that are predictive, interpretable, and biologically credible. Alongside his research, Arvind develops AI literacy programs for healthcare and pharma professionals, helping clinical and procurement teams evaluate and govern AI systems with the rigor those decisions demand. Connect with Arvind Rao on LinkedIn: https://www.linkedin.com/in/arvind-rao-3301301ba/ About the host: Ross Katz is Principal and Data Science Lead at CorrDyn. Ross specializes in building intelligent data systems that empower biotech and healthcare organizations to extract insights and drive innovation. Connect with Ross Katz on LinkedIn: https://www.linkedin.com/in/b-ross-katz/ Connect with us: Follow the podcast for more insightful discussions on the latest in biotech and data science.Subscribe and leave a review if you enjoyed this episode! Sponsored by… This episode is brought to you by CorrDyn, the leader in data-driven solutions for biotech and healthcare. Discover how CorrDyn is helping organizations turn data into breakthroughs at CorrDyn. https://www.linkedin.com/company/corrdyn/

Year in Review: Clinical Investigator Perspectives on the Most Relevant New Datasets and Advances in Colorectal Cancer | Faculty Presentation 2: Optimizing the Care of Patients with Nonmetastatic Colorectal Cancer (CRC) — Arvind Dasari, MD, MS CME information and select publications

Patrick Moorhead and Daniel Newman dig into the week's biggest moves in enterprise AI: Anthropic and OpenAI launching PE-backed enterprise JVs on the same day, Anthropic filling its compute gap with SpaceX's Colossus, Cerebris filing for a $3.5 billion IPO, NVIDIA going deep on co-packaged optics with Corning, and a full IBM Think and ServiceNow recap. Plus, for The Flip, hosts debate whether Anthropic, at $1.2 trillion, is the most important company in enterprise tech. The handpicked topics for this week are: 1. Anthropic and OpenAI Launch PE-Backed Enterprise JVs on the Same Day — Both companies announced private equity joint ventures, with OpenAI backed by Bain, Brookfield, and Advent, and Anthropic partnering with Blackstone, Goldman Sachs, Apollo, and General Atlantic. Daniel's read is that this is fundamentally a distribution play, using private equity portfolio companies as a deployment channel for AI at scale. Pat sees it as the clearest admission yet that enterprise AI cannot be self-implemented at scale without specialized consulting support, and flags that mid-tier systems integrators (SIs) could get cut out of the middle. (The Decode) 2. Anthropic Signs Massive Compute Deal with SpaceX Colossus — Anthropic urgently needed compute and SpaceX had 300 megawatts and 220,000 GPUs sitting at Colossus One in Memphis without enough business to fill them. Pat's take is blunt: this move is pragmatic. Anthropic needs it, xAI has it. Daniel adds that Dario himself said they planned for 10x growth and got 80x, and this deal is the fast backfill that reality demanded. The side note both hosts flag: Anthropic is running on H100s, H200s, and B200s, which puts the whole "Anthropic only runs on Trainium and TPUs" narrative to rest. (The Decode) 3. Cerebris Files for a $3.5 Billion IPO at $26.6 Billion Valuation — This marks their second attempt at an IPO after pulling the first filing. The architecture is genuinely unique, a complete wafer with massive on-chip SRAM and interconnects built directly onto the wafer rather than copper or photonics. Pat calls it the first credible Western alternative for AI inference. Daniel's framing cuts through: you do not have to beat NVIDIA to sell right now. You just need to have availability. The more interesting headline, both hosts agree, is that Sam Altman and Greg Brockman are angel investors, which adds fuel to the ongoing OpenAI lawsuit. (The Decode) 4. NVIDIA and Corning Announce $500 Million Optical Partnership — Three new US factories, co-packaged optics for Vera Rubin, and a supply chain strategy that mirrors what NVIDIA did with Coherent. Pat's context: this is vertical integration through investment rather than acquisition. Daniel's observation is that the pace of movement toward co-packaged optics is accelerating faster than anyone expected, and his "rule of and" applies here too. Copper is not going away. Optics are being added on top because the data volumes moving across these racks are outrunning what copper alone can handle. US manufacturing in North Carolina and Texas is a strategic bonus. (The Decode) 5. IBM Think 2026: Day Zero, Sovereign Core, and the Quantum Plus AI Bet — Pat moderated on stage with CEO Arvind Krishna and calls this IBM's best showing in five years. Arvind opened with the AI divide, the gap between companies still running POCs and companies already in production, and framed where IBM sits as day zero, not because nothing has happened, but because enterprise AI deployment at scale is still so early. Daniel's biggest takeaways: watsonX Orchestrate updates, Sovereign Core going GA with policy at runtime, and the Confluent acquisition potentially being IBM's most important asset since Red Hat, given that 40% of Fortune 500 companies run on it and real-time streaming data is foundational to agentic systems. Both hosts land on quantum plus AI as IBM's next inflection moment. (The Decode) 6. ServiceNow Knowledge 2026: Enterprise SaaS 2.0 is Emerging — Daniel got there on day three of the event and noted the conference was densely packed. His observation: enterprises have not gotten the memo from Wall Street that SaaS is supposedly dead. His emerging thesis is that middleware could make a comeback for AI, with companies needing a layer that lets agents work across any infrastructure, any app, and within the rules of their specific business. Pat agrees and adds that the growth question is about mix, not survival. (The Decode) 7. The Flip: Is Anthropic at $1.2 Trillion the Most Important Company in Enterprise Tech? — Daniel took the affirmative citing that Claude Code is deeply entrenched in developer workflows. Anthropic went from $9 billion to $45 billion ARR in months. Every major hyperscaler is both a customer and an investor. The PE JVs are turning verticals into Anthropic engines. Dario said they planned for 10x and got 80x. Pat's counter: the enterprise trust gap is real after what Anthropic pulled on pricing and performance. Microsoft has 2 billion users across 365, Azure, and Copilot. NVIDIA is the infrastructure Anthropic runs on. And workforce replacement, which is how Anthropic extracts its terminal value, is not arriving as fast as the valuation suggests. In reality, both hosts admit their notes looked almost identical. (The Flip) 8. AMD — Lisa Su guided AI data center growth up from 60% to 80%. With OpEx growing 83%, net income up 95%, free cash flow ripping, and CPUs growing at nearly 40% without price increases, Pat reads this as unit market share gains coming soon. Daniel's framing: AMD is now a two-headed juggernaut with CPUs and GPUs for the data center. And Helios has not even started shipping yet. Both hosts take a victory lap for previously calling this one. (Bulls and Bears) 9. Palantir — Triple beat on revenue, EPS, and forward guidance. Rule of 40 at 145%. Government revenue up 84%, 47 deals over $10 million, and the largest guidance raise in the company's history. Daniel's take: Palantir is redefining the category entirely. It's not a software company in the Salesforce or ServiceNow sense. It's technology, plus ontology, plus people, deployed at the deepest layers inside governments and enterprises. Pat adds that the four deployed FTE model lets them stand up AIP POCs within a week, which is why they are winning business at this pace. (Bulls and Bears) 10. ARM — AGI processor demand doubled from $1 billion to $2 billion within 45 days. Record revenue, strong pipeline, royalty growth at 21% for the full year. The stock ripped after hours, then sold the next day when management confirmed only enough supply for $1 billion of that $2 billion demand. Pat's read: 50% CPU market share with hyperscalers at the core level is the most underdiscussed signal on the call. Daniel adds that the worry about ARM competing with its own customer base in custom silicon has been quietly swept away by the sheer volume of compute demand. (Bulls and Bears) 11. Supermicro — A board member allegedly used a hairdryer to remove labels from GPU boxes being shipped to China. Approximately 20% of their revenue has reportedly been illegally shipped to China. They beat on EPS and Q4 guide but missed Q3 revenue versus consensus. Stock still ripped 18%. Daniel's take: if you are selling picks and shovels during a gold rush and you are this messed up, he cannot imagine owning it with the overhang that is building. (Bulls and Bears) 12. Lattice Semi and Coherent — Lattice revenue up 42%, back into growth, guiding to 50% year-on-year at midpoint. The AMI acquisition at $1.65 billion doubles their serviceable market from $6 billion to $12 billion and puts them inside every AI server on the planet at the BIOS and platform firmware layer. Pat calls the timing right: core financials crushing it, time to make a move. Coherent printed 21% year-on-year growth, 55% EPS growth, margins expanding, debt coming down, entered the S&P 500, and sits at the center of the co-packaged optics trend that is accelerating. Pat's choke point note: Indium phosphide capacity is the constraint. Six-inch fabs are doubling capacity in 2026, a quarter ahead of plan, and competitors are still ramping their transitions. (Bulls and Bears) Want the full breakdown from IBM Think and ServiceNow Knowledge, and check out our on-the-ground coverage linked in the show notes. Be part of our community. Hit that subscribe button and let us know what you want us to cover next week in the comments. Intro Pat on Stage at IBM Think https://x.com/PatrickMoorhead/status/2051381046537601101?s=20 The Decode OpenAI and Anthropic Both Launch PE-Backed Enterprise Services JVs on the Same Day — The Palantir FDE Model Goes Mainstream https://www.bloomberg.com/news/articles/2026-05-04/openai-finalizes-10-billion-joint-venture-with-pe-firms-to-deploy-ai https://techcrunch.com/2026/05/04/anthropic-and-openai-are-both-launching-joint-ventures-for-enterprise-ai-services/ https://www.semafor.com/article/05/04/2026/openai-anthropic-ramp-up-enterprise-push Anthropic and SpaceX Sign Massive Compute Deal — Full 300MW / 220,000 GPU Colossus 1 Memphis Data Center Plus Exploration of Multi-Gigawatt Orbital AI Compute https://www.cnbc.com/2026/05/06/anthropic-spacex-data-center-capacity.html https://www.bloomberg.com/news/articles/2026-05-06/anthropic-inks-computing-deal-with-spacex-to-meet-ai-demand https://www.tomshardware.com/tech-industry/artificial-intelligence/musks-spacex-has-rented-out-access-to-its-supercomputers-220-000-nvidia-gpus-and-300-megawatts-of-ai-compute-power-to-rival-anthropic Cerebras Files for $3.5B IPO at $26.6B Valuation — The First Major AI Chip IPO of 2026 https://www.cnbc.com/2026/05/04/cerebras-ipo-ai-chipmaker.html https://theaiinsider.tech/2026/05/06/cerebras-systems-eyes-3-5b-in-largest-tech-ipo-of-2026-on-strength-of-ai-chip-demand/ https://www.briefs.co/news/ai-chipmaker-cerebras-just-filed-for-a-3-5-billion-ipo/ NVIDIA and Corning Announce Game-Changing Optical Partnership — $500M Investment, 3 New U.S. Factories, and Co-Packaged Optics for Vera Rubin and Beyond https://www.corning.com/worldwide/en/about-us/news-events/news-releases/2026/05/nvidia-and-corning-announce-long-term-partnership-to-strengthen-us-manufacturing-for-ai-infrastructure.html https://www.cnbc.com/2026/05/06/nvidia-corning-optical-factories-nc-texas-ai.html https://www.wsj.com/tech/nvidia-corning-form-partnership-to-expand-fiber-optic-manufacturing-17f525de https://kfgo.com/2026/05/06/corning-partners-with-nvidia-to-expand-us-fiber-optic-output-for-ai-growth/ IBM Think 2026 Boston — Watsonx Orchestrate Next-Gen, Confluent Real-Time Data, IBM Concert, and Sovereign Core Define IBM's Agentic Operating Model https://newsroom.ibm.com/2026-05-05-think-2026-ibm-delivers-the-blueprint-for-the-ai-operating-model-as-the-ai-divide-widens https://www.ibm.com/new/announcements/ibm-announcements-at-think-2026 https://www.instagram.com/reel/DX42DlrglOs/ ServiceNow Knowledge 2026 Las Vegas https://www.servicenow.com/events/knowledge.html https://newsroom.servicenow.com/press-releases/details/2026/Cohesity-and-ServiceNow-Deliver-Real-Time-Recovery-for-Enterprise-AI-Agents/default.aspx https://www.cnbc.com/2025/09/04/nvidia-backed-cohesity-eyes-2026-ipo-with-valuation-rivaling-17-billion-rubrik.html   The Flip: Anthropic at $1.2T Now the Most Important Company in Enterprise Tech — More Important Than NVIDIA, Microsoft, or OpenAI FOR: Dual-hyperscaler compute anchor (Amazon $33B + Google $40B = $73B) is structural — unmatched https://futurumgroup.com/insights/anthropics-gigawatt-scale-tpu-deal-with-broadcom-creates-a-structural-advantage/ Constitutional AI safety positioning wins regulated industries https://www.anthropic.com/news/anthropic-nec-japan-ai-engineering-workforce $900B valuation surpasses OpenAI ($852B) at faster revenue growth and lower burn rate https://techcrunch.com/2026/04/30/anthropic-potential-900b-valuation-round-could-happen-within-two-weeks/   AGAINST: NVIDIA still controls the substrate — every Anthropic dollar of revenue requires NVIDIA inference at some layer https://www.cnbc.com/2026/04/27/nvidia-just-hit-an-all-time-high-why-some-think-a-rally-is-just-getting-started.html Microsoft has the enterprise distribution — 365 + Azure + Copilot reach >2 billion users https://www.marketbeat.com/originals/microsofts-maia-200-the-profit-engine-ai-needs/ $900B valuation is venture marketing — the IPO will reset the number https://www.semafor.com/article/05/04/2026/openai-anthropic-ramp-up-enterprise-push   Bulls & Bears: AMD Q1 2026 — Revenue $10.3B (+38% YoY), MI300X Data Center GPU Demand Drives Stock +20% on the Print https://ir.amd.com/news-events/press-releases/detail/1284/amd-reports-first-quarter-2026-financial-results https://www.cnbc.com/2026/05/05/amd-q1-2026-earnings-report.html https://finance.yahoo.com/markets/stocks/articles/amd-q1-2026-earnings-revenue-203331768.html Palantir Q1 2026 — Revenue +85% YoY, US Commercial +133%, Rule of 40 Score Hits 145%; Largest Guidance Raise in Company History https://investors.palantir.com/files/Palantir%20-%20Q1%202026%20Business%20Update.pdf https://www.reddit.com/r/PLTR/comments/1t3t0me/palantir_reports_q1_2026_us_revenue_growth_of_104/ https://finance.yahoo.com/markets/stocks/articles/palantir-technologies-inc-q1-2026-002218719.html https://semiconalpha.substack.com/p/palantir-q1-2026-rewriting-the-rule Arm Holdings Q4 FY2026 — Record $1.49B Quarter, Full-Year Revenue Crosses $4.92B, $2B AGI CPU Pipeline; Stock +16% After Hours https://finance.yahoo.com/markets/stocks/articles/arm-q4-earnings-call-highlights-225942093.html https://www.stocktitan.net/sec-filings/ARM/6-k-arm-holdings-plc-uk-current-report-foreign-issuer-7e9ca9ac7dda.html https://semiconalpha.substack.com/p/arm-q4-fy2026-record-quarter-2-billion Super Micro Computer Q3 FY2026 — Revenue $10.2B (+123% YoY), Strong Q4 Guide; Stock +18% AH on First Earnings Call Since Co-Founder Indictment Drama https://www.cnbc.com/2026/05/05/super-micro-smci-q3-earnings-report-2026.html https://www.stocktitan.net/sec-filings/SMCI/8-k-super-micro-computer-inc-reports-material-event-e70b2f8b3cb7.html https://www.instagram.com/reel/DX42DlrglOs/ Lattice Semiconductor Q1 2026 — Beat-and-Raise Quarter ($170.9M, +42% YoY) Paired With $1.65B AMI Acquisition That Doubles Lattice's SAM to $12B https://www.stocktitan.net/sec-filings/LSCC/8-k-lattice-semiconductor-corp-reports-material-event-642a862b2bf9.html https://www.ami.com/resources/ami-announces-agreement-to-be-acquired-by-lattice-semiconductor/ https://www.linkedin.com/posts/patmoorhead_lattice-semiconductor-posts-beat-and-raise-activity-7457411226944425984-xA8T Coherent Q3 2026 Earnings https://www.msn.com/en-us/money/companies/coherent-cohr-tops-revenue-expectations-in-q3-as-ai-demand-accelerates-shares-decline/ar-AA22Bz24?ocid=finance-verthp-feeds  

We've curated a special 10-minute version of the podcast for those in a hurry. Here you can listen to the full episode: https://podcasts.apple.com/no/podcast/ibm-ceo-transforming-a-tech-giant-ai-bets-and/id1614211565?i=1000766363117&l=nbNicolai Tangen sits down with Arvind Krishna, Chairman and CEO of IBM, for a wide-ranging conversation on technology, leadership, and reinvention. Arvind shares how he has reshaped one of the world's most iconic companies into a growing force in hybrid cloud and AI, and why he placed an early, decisive bet on AI long before it entered the mainstream. They explore the opportunities and risks of the current AI boom, IBM's push into quantum computing, and what it takes to reignite a risk-averse culture. Arvind also reflects on leading a global organization operating in more than 170 countries, and the lessons from his 35-year journey at IBM. Tune in for an insightful conversation!In Good Company is hosted by Nicolai Tangen, CEO of Norges Bank Investment Management. New full episodes every Wednesday, and don't miss our Highlight episodes every Friday. The production team for this episode includes Isabelle Karlsson and PLAN-B's Niklas Figenschau Johansen, Sebastian Langvik-Hansen and Pål Huuse. Background research was conducted by Karoline Woie. Watch the episode on YouTube: Norges Bank Investment Management - YouTubeWant to learn more about the fund? The fund | Norges Bank Investment Management (nbim.no)Follow Nicolai Tangen on LinkedIn: Nicolai Tangen | LinkedInFollow NBIM on LinkedIn: Norges Bank Investment Management: Administrator for bedriftsside | LinkedInFollow NBIM on Instagram: Explore Norges Bank Investment Management on Instagram Hosted on Acast. See acast.com/privacy for more information.

Nicolai Tangen sits down with Arvind Krishna, Chairman and CEO of IBM, for a wide-ranging conversation on technology, leadership, and reinvention. Arvind shares how he has reshaped one of the world's most iconic companies into a growing force in hybrid cloud and AI, and why he placed an early, decisive bet on AI long before it entered the mainstream. They explore the opportunities and risks of the current AI boom, IBM's push into quantum computing, and what it takes to reignite a risk-averse culture. Arvind also reflects on leading a global organization operating in more than 170 countries, and the lessons from his 35-year journey at IBM. Tune in for an insightful conversation!In Good Company is hosted by Nicolai Tangen, CEO of Norges Bank Investment Management. New full episodes every Wednesday, and don't miss our Highlight episodes every Friday. The production team for this episode includes Isabelle Karlsson and PLAN-B's Niklas Figenschau Johansen, Sebastian Langvik-Hansen and Pål Huuse. Background research was conducted by Karoline Woie. Watch the episode on YouTube: Norges Bank Investment Management - YouTubeWant to learn more about the fund? The fund | Norges Bank Investment Management (nbim.no)Follow Nicolai Tangen on LinkedIn: Nicolai Tangen | LinkedInFollow NBIM on LinkedIn: Norges Bank Investment Management: Administrator for bedriftsside | LinkedInFollow NBIM on Instagram: Explore Norges Bank Investment Management on Instagram Hosted on Acast. See acast.com/privacy for more information.

Arvind is back to provide an update on all things Memory Tiering. The interest in Memory Tiering is high due to insane memory prices and supply chain issues. Arvind goes over the basics of memory tiering and provide an insight into what to expect in the upcoming release of VCF/vSphere when it comes to Memory Tiering!Some of the items discussed:Performance whitepaper here: https://www.vmware.com/docs/memtier-vcf9-perfMemory tiering doc's which describes how to disable it on a VM: https://techdocs.broadcom.com/us/en/vmware-cis/vsphere/vsphere/9-0/how-do-i-activate-memory-tiering-in-vsphere-.htmlMany different blogs, and an assessment script by Dave Morera: https://blogs.vmware.com/cloud-foundation/vcf-advanced-memory-tiering/

Today my guests are Arvind Subramanian and Devesh Kapur. Arvind is a Senior Fellow at the Peterson Institute for International Economics and a former Chief Economic Advisor to the Government of India. Devesh is the Starr Foundation Professor of South Asian Studies and Director of the Asia Programs at the Johns Hopkins. They are co-authors of the recent book, A Sixth of Humanity: Independent India's Development Odyssey. We talked about India's redistributive democracy, why Indian states have taken such different development paths, India's socialism and consequent scarcity, manufacturing challenges, and much more. Recorded February 13th, 2026. Read a full transcript enhanced with helpful links. Connect with Ideas of India Follow us on X Follow Shruti on X Follow Arvind on X Click here for the latest Ideas of India episodes sent straight to your inbox. Timestamps (00:00:00) - Intro (00:01:18) - A Sixth of Humanity (00:06:51) - The Effect of Education on State Development (00:13:39) - Redistributive Democracy in India (00:21:54) - One Democracy, Multiple Outcomes at the State Level (00:36:52) - Tamil Nadu (00:38:01) - The Collapse of Punjab (00:42:12) - Shades of Socialism in India (01:08:00) - Upside-Down State (01:26:36) - Manufacturing (01:46:23) - Outro

India is not a country that eases you in gently. It doesn't really do gentle. It's a place of somewhere between 1.4 and 1.5 billion people, the most populous nation on earth, having overtaken China in 2023, and it carries that scale in everything: the noise, the colour, the traffic, the sheer press of human life happening all around you at once. It is the world's largest democracy, has a space programme, a film industry that dwarfs Hollywood, and somewhere in excess of twenty official languages. It's not a country so much as a civilisation that happens to have borders around it. In this special, we go to two cities. Kolkata, in the east, formerly Calcutta, and Varanasi, on the Ganges, which may well be the oldest continuously inhabited city in the world and which confronts you, very directly, with questions about life and death that most of us spend considerable energy avoiding. Into all of this walked eight photographers, Anne, Bill, Fraser, Lloyd, Mercedes, Nicola, Owen and Peter, along with my travelling partner, in The Journey Beyond Lynn Fraser, and our Indian mentors and guides: Shivam, Shubh, Mohit and Arvind. What you're about to hear is an India special edition of the Photowalk Podcast, and honestly, as you'll hear, it affected us in ways we weren't expecting. It's a long episode, and for that I make no apology… but I hope that, with the music, the characters, the surprises, and the scenes described, you will feel you have photowalked there with us. Read more about our photographic adventures on our photography travel website, The Journey Beyond. Links to all guests and features will be on the show page, my sincere thanks to our Extra Milers, without whom we wouldn't be walking each week and Arthelper.ai, giving photographers smart tools to plan, promote, and manage your creative projects more easily. WHY: A Sketchbook of Life is available here.

This week on Commerce Code, we speak with Rikard Bandebo from VantageScore and Arvind Ronta from Pentadata. A little about the companies - VantageScore is a leading credit scoring company whose model is especially predictive because it uses new data sources that make it possible to provide credit scores to people even if they have limited credit history.Pentadata is a big reason VantageScore is able to do this. Pentadata is a financial data orchestration platform – which means its customers can access many different kinds of financial data through a single point of contact, or, in software terms, a single API.Rikard and Arvind have joined us to talk about:What's making credit scores more accurate - things like rent and utility payments that are big predictors of consumer payment behavior, but which have been omitted from credit scoring until recently.What it takes to get new kinds of data like that into the credit scoring system - it's not as easy as it looks!And what all of this means for the marketplace, from consumers to businesses.

Adi Polak talks to Arvind Suresh (OpenAI) about his career in distributed systems and real-time streaming. Arvind's first job: coding at school. His challenge: turning OpenAI's fragile Kafka setup into a reliable, multi-region streaming backbone.SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo  

A new special topic episode of Sound Speed Action is out now everywhere you get your podcasts!The big ongoing story in the entertainment world has been the fate of Warner Bros. Discovery. Paramount has acquired Warner Bros. Discovery after a long bidding war with Netflix. Netflix is being called the loser in all of this. Look, either of these companies getting their hands on this archive of content pushes this industry into some uncertain territory. But the narrative that Netflix was outplayed here is crazy to me. Today's episode gets into why.

What if the anxiety you feel walking into a meeting, networking event, or conference isn't a personal flaw, but social anxiety? In this episode, clinical psychologist Dr. Ellen Hendriksen talks about the psychology behind social anxiety and why avoidance keeps it alive. She breaks down the belief at the core of social anxiety and tools to challenge anxious thoughts, manage shame, and build confidence even when anxiety is still present. Then, entrepreneur and former LinkedIn executive Arvind Rajan shares what it's like to build a successful career while living with social anxiety. Tune in to learn how to manage social anxiety, build confidence, and show up fully. Check out our sponsors: Northwest Registered Agent - Protect your privacy, build your brand and get your complete business identity in just 10 clicks and 10 minutes! Visit https://www.northwestregisteredagent.com/achieverfree Shopify - Sign up for a $1 per month trial, just go to http://shopify.com/anxiousachiever Talkiatry - Head to http://talkiaitry.com/achiever and complete the short assessment to get matched with an in network psychiatrist in just a few minutes. Working Genius - Take the working genius assessment today and get 20% off with code ACHIEVER at working http://genius.com Brevo - Meet brevo, the all in one marketing and CRM platform built to help you connect with customers, boost engagement and grow your business smarter. Go to brevo.com/achiever and use code ACHIEVER50 for 50% off.  In this Episode, You Will Learn 00:00 Why social anxiety is the most common type of anxiety. 02:00 The 2 types of avoidance that keep social anxiety alive. 05:00 What's the difference between generalized anxiety and social anxiety? 07:45 How social anxiety shows up in the workplace. 09:45 The strengths that often come with social anxiety. 14:00 How shame and fear of judgment affect leadership. 18:00 A framework for managing social anxiety. 22:45 When did you realize that you have social anxiety? 24:30 Why forcing yourself through anxiety doesn't always work. 28:30 Why authenticity makes leaders more effective. 31:45 How leaders can build teams that support different personalities. Resources + Links Get Dr. Ellen Hendriksen's book How to Be Yourself HERE Get a copy of my book - The Anxious Achiever Watch the podcast on YouTube  Find more resources on our website morraam.com Follow Follow me: on LinkedIn @morraaronsmele + Instagram @morraam Follow Ellen on LinkedIn @ellenhendriksen Follow Arvind on LinkedIn @arvindrajan

Episode 226 - Leafs Trade Deadline Recap by Arvind, Acting the Fulemin

This special episode is an inside look at AI music from three very different vantage points: the builder, the investor, and the industry insider.Andreas is joined by Sundar Arvind, CEO & Co-Founder at Mozart AI, building a collaborative generative audio workstation; Daniel Waterhouse, General Partner at Balderton Capital; and Ash Pournouri, Co-Founder of Belong, entrepreneur, producer, and former manager of Avicii.Together, they unpack how AI is reshaping music creation, how serious investors underwrite risk in a litigious industry, why “one-click songs” miss the point, and whether AI expands creativity or commoditizes it.If you want a grounded view of where the real fault lines are — rights, training data, authorship, collaboration, and the psychology of creativity — this is it.ShareWhat's covered:00:40 Mozart AI's vision: a collaborative generative audio workstation05:10 DAWs, EDM, and why tech has always expanded music creation06:35 Why “one-prompt songs” optimise for quantity, not craft09:20 Underwriting AI music: how VCs think about billion-dollar incumbents13:00 Is this a new instrument or a 100x larger market?18:45 Are professional artists already using AI tools?21:00 Copyright, training data, and legal diligence in AI music25:15 Philosophically: what are “rights” when machines learn from music?33:40 Diffusion models explained simply: how AI generates sound36:30 The return of the band? Multiplayer music creation40:00 Ash Pournouri joins: the industry's instinct is protection44:10 “You can't stop development”: why demand always wins48:50 Packaging matters: AI as tool vs AI as replacement51:20 Lowering thresholds and democratization across decades56:30 Five-year predictions? We're on the vertical part of the curve58:10 The “vibe coding” moment for music

Summary In this episode of the AI for Sales podcast, host Chad Burmeister welcomes Arvind Murali, co-founder and chief data officer at Data Color AI. They discuss the transformative impact of AI on customer experience, the importance of trust and value in AI projects, and the misconceptions surrounding AI and job replacement. Arvind emphasizes the need for human augmentation rather than replacement, and they explore emerging AI technologies and the ethical considerations that come with them. The conversation concludes with insights on the skills sales professionals need to thrive in an AI-augmented world. Takeaways AI projects often fail due to lack of trust and value. The three pillars of AI are value, trust, and scale. AI can significantly enhance customer experience and efficiency. Augmentation of human jobs is the key benefit of AI. Empathy and creativity cannot be replaced by AI. AI governance is a shared responsibility among stakeholders. Emerging AI technologies are evolving towards voice-activated interfaces. Sales professionals must learn to leverage AI tools effectively. AI can lead to significant reductions in customer service workload. The future of AI will require a focus on ethical considerations. Chapters 00:00 Introduction to AI for Sales Podcast 03:55 The Three Pillars of AI: Value, Trust, and Scale 08:46 Transforming Customer Experience with AI 13:47 Success Stories: Real-World AI Impact 18:24 Misconceptions About AI and Job Replacement 23:15 Emerging AI Technologies and Their Future 28:02 Ethics and Governance in AI 32:40 Skills for Success in an AI-Augmented World The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Fluent Fiction - Hindi: Arvind's Allergic Adventure and the Power of Friendship Find the full episode transcript, vocabulary words, and more:fluentfiction.com/hi/episode/2026-02-20-23-34-02-hi Story Transcript:Hi: हैदराबाद में सर्दियों की शुरुआत हो चुकी थी। सड़कों पर महाशिवरात्रि की तैयारियों की धूम थी।En: Winter had begun in Hyderabad and the bustle of Mahashivratri preparations was evident on the streets.Hi: हर दिशा में शिवजी के भजन और बेल-पत्रों की माला बिक रही थीं।En: In every direction, devotional songs of Shivji echoed, and garlands of bel leaves were being sold.Hi: हाई-टेक सिटी अपने नाम के मुताबिक, ऊंचे-ऊंचे तकनीकी भवनों से सजी थी।En: True to its name, the Hi-Tech City was adorned with tall technological buildings.Hi: इन सबके बीच, अंदर ही अंदर घबराए हुए अरविंद शहर आए थे।En: Among all this, Arvind had come to the city, inwardly nervous.Hi: अरविंद दिल्ली से थे।En: Arvind was from Delhi.Hi: वे एक तकनीकी सम्मेलन में भाग लेने के लिए हैदराबाद आए थे।En: He had come to Hyderabad to participate in a technical conference.Hi: उनका लक्ष्य था अपनी नई प्रोजेक्ट का प्रदर्शन करना।En: His aim was to present his new project.Hi: लेकिन पृष्ठभूमि में एक डर हर समय उनके साथ था - उनका पुराना एलर्जी का इतिहास।En: But lurking in the background was a constant fear – his history of allergies.Hi: सम्मेलन का दिन आया।En: The day of the conference arrived.Hi: उनका मन यही सोच रहा था कि सब ठीक से हो।En: His mind was preoccupied with hoping everything would go well.Hi: लेकिन दुर्भाग्य से, उस दिन सुबह-सुबह, नाश्ते में कुछ ऐसा खा लिया जिससे उन्होंने तेज एलर्जी का अनुभव किया।En: But unfortunately, that morning, he ate something at breakfast that triggered a severe allergic reaction.Hi: उनका चेहरा लाल हो गया, सांस लेने में दिक्कत होने लगी।En: His face turned red, and he started having difficulty breathing.Hi: उन्हें समझ नहीं आ रहा था कि क्या करें।En: He didn't know what to do.Hi: एक तरफ उनका सपना था - मंच पर जा कर अपनी प्रेजेंटेशन देना, और दूसरी तरफ उनकी सेहत।En: On one side was his dream – to go on stage and give his presentation, and on the other was his health.Hi: इसी बीच मेघा और राघव, उनके सहकर्मी, उनकी मदद के लिए आगे आए।En: In the midst of this, his colleagues, Megha and Raghav, came forward to help him.Hi: मेघा ने कहा, "अरविंद, तुम्हारी सेहत सबसे पहले है। तुम्हें डॉक्टर के पास जाना चाहिए।"En: Megha said, "Arvind, your health comes first. You should see a doctor."Hi: सम्मेलन हॉल के बाहर, राघव ने अरविंद को तुरंत अस्पताल ले जाने का प्रयास किया।En: Outside the conference hall, Raghav tried to rush Arvind to the hospital immediately.Hi: अरविंद शुरू में झिझके लेकिन फिर उन्होंने सोचा, "अगर सेहत ही ठीक नहीं रही, तो सब कुछ बेकार है।"En: Initially hesitant, Arvind then thought, "If health isn't well, then everything else is worthless."Hi: मेघा और राघव ने मिलकर अरविंद को अस्पताल पहुंचाया।En: Megha and Raghav together took Arvind to the hospital.Hi: डॉक्टर ने उन्हें देखकर तुरंत इलाज शुरू किया।En: Seeing him, the doctor promptly began treatment.Hi: सही दवाओं और देखभाल से अरविंद की हालत में सुधार हुआ।En: With the right medications and care, Arvind's condition improved.Hi: उसी शाम, उनकी हालत नियंत्रण में आ गई।En: By that evening, his condition was under control.Hi: अरविंद ने तब समझा कि काम और सपने महत्वपूर्ण हैं, लेकिन सेहत उन सब से ऊपर है।En: Arvind then realized that while work and dreams are important, health is above all else.Hi: उन्होंने अपने दोस्तों की मदद का भी शुक्रिया अदा किया।En: He also thanked his friends for their help.Hi: वो समझ गए थे कि असली दोस्त वही होते हैं जो मुश्किल वक्त में आपके साथ खड़े होते हैं।En: He understood that true friends are those who stand with you in difficult times.Hi: हैदराबाद की वो ठंडी शाम अरविंद के लिए एक नई सीख लेकर आई थी।En: That cold evening in Hyderabad brought a new lesson for Arvind.Hi: उन्होंने निश्चय किया कि आगे से वे अपनी सेहत को नजरअंदाज नहीं करेंगे और दोस्ती की असली परख इस अनुभव के जरिए पा ली थी।En: He resolved not to overlook his health in the future, and through this experience, he discovered the true test of friendship.Hi: महाशिवरात्रि के इस विशेष समय ने उनके जीवन में एक अनमोल सबक जोड़ दिया था।En: The special time of Mahashivratri had added an invaluable lesson to his life. Vocabulary Words:bustle: धूमdevotional: भजनadorned: सजीinwardly: अंदर ही अंदरnervous: घबराएparticipate: भाग लेनेtriggered: प्रेरित कियाreaction: प्रतिक्रियाhesitant: झिझकेpromptly: तुरंतmedications: दवाओंcondition: स्थितिoverlook: नजरअंदाजinvaluable: अनमोलexperience: अनुभवconference: सम्मेलनcolleague: सहकर्मीdream: सपनाpresentation: प्रेजेंटेशनconstant: लगातारsevere: तेजdifficulty: दिक्कतcare: देखभालimportant: महत्वपूर्णunder control: नियंत्रण मेंresolved: निश्चय कियाhistory: इतिहासtall: ऊंचेechoed: गूंजbackground: पृष्ठभूमि

This is a conversation series with former students of Sri Sathya Sai Institute of Higher Learning wherein they share their learnings and experiences that shaped theirlife and living.

Stephen and Arvind welcome back Trent Green for a deep dive into one of the most requested follow-ups to site archive: file-level archive.  Trent explains how this new capability gives IT admins a more precise way to manage storage—archiving individual files or folders within active sites instead of entire sites. The team walks through how it works, what the end-user experience looks like, and how archived files can be reactivated (including a built-in seven-day undo window).  They also cover public preview timing, consumption-based billing, and what's coming next—like admin-driven policies based on last access dates. If you're looking for smarter ways to manage aging content without disrupting collaboration, this episode breaks it down clearly and practically! 

This is a conversation series with former students of Sri Sathya Sai Institute of Higher Learning wherein they share their learnings and experiences that shaped their life and living.

This is a conversation series with former students of Sri Sathya Sai Institute of Higher Learning wherein they share their learnings and experiences that shaped their life and living.

In the AI gold rush, most startups chase hype. Few focus on solving real problems. On the Predictable Revenue Podcast, host Collin Stewart spoke with Arvind Ramasamy, founder of StaffAgent.AI, about what actually drives traction: listening to customers, iterating fast, and doing the hard work of founder-led sales. This post breaks down that conversation into clear, actionable lessons for founders building AI products and chasing product-market fit, without getting lost in the noise. Highlights include: Finding the First Customer: Networking and Validation (07:16), Pivoting for Success: Adapting to Market Needs (09:33), Pricing Strategies: Finding the Right Model (14:17), Learning from the Journey (17:52), Navigating Funding Challenges (20:50), And more... Stay updated with our podcast and the latest insights on Outbound Sales and Go-to-Market Strategies!

This is a conversation series with former students of Sri Sathya Sai Institute of Higher Learning wherein they share their learnings and experiences that shaped their life and living.

Arvind Krishna, the Chairman, President, and Chief Executive Officer of IBM, stepped into the CEO role at IBM in 2020, following 30 years at the company. Prior to that, he held various senior positions, spanning VP of Cloud and Cognitive Software to Head of Research, where he drove innovation in core technologies – including artificial intelligence, quantum computing, and cloud platform services. In today’s episode, Arvind joins our North America Chair and senior partner Eric Kutcher to discuss how he led IBM to triple its share price in just five years, the current AI landscape, how to pursue opportunities from volatility, the potential of quantum computing, what it takes to drive growth through innovation, and the dangers of being too risk-averse. Related insights CEO Excellence: The Six Mindsets That Distinguish the Best Leaders from the Rest A CEO for All Seasons: Mastering the cycles of leadership The Strategic CEO newsletter Delta Air Lines CEO Ed Bastian: Lessons from the captain’s seat Doug Parker, former chairman and CEO of American Airlines, shares leadership lessons John Stankey talks about leaning into the long term at AT&TSupport the show: https://www.linkedin.com/showcase/mckinsey-strategy-&-corporate-finance/See www.mckinsey.com/privacy-policy for privacy information

Glean has grown into a $7.2B company by giving employees AI assistants and agents that extend their capabilities.CEO Arvind Jain is back on Grit alongside Joubin Mirzadegan. Here's what stood out:“My mindset by default is that if you build something last year, that it's got to be obsolete. There has to be a new way to do that thing better today. If not, then it's just lack of imagination.”“I have no doubts that AI capabilities are just going to increase more and more over the next few years. But even more important is this concept of how much are we even leveraging what AI can do today? I would say that we've not even used 1% of current capabilities of these models”“If you're trying to be everything to everyone, then you just cannot compete with somebody who's focused on a smaller problem and going deep into that.”You can also listen to Arvind's earlier episode here: https://www.youtube.com/watch?v=iIH0Qp6d6bg&list=PLRiWZFltuYPF8A6UGm74K2q29UwU-Kk9k&index=96Guest: Arvind Jain, founder and CEO, Glean​Connect with Arvind JainX: https://x.com/jainarvindLinkedIn: https://www.linkedin.com/in/jain-arvind/Connect with JoubinX: https://x.com/JoubinmirLinkedIn: https://www.linkedin.com/in/joubin-mirzadegan-66186854/Email: grit@kleinerperkins.comFollow on LinkedIn:https://www.linkedin.com/company/kpgritFollow on X:https://x.com/KPGrit​Learn more about Kleiner Perkins:https://www.kleinerperkins.com/

Fluent Fiction - Hindi: A Lost Letter and New Friendships in Festive Connaught Place Find the full episode transcript, vocabulary words, and more:fluentfiction.com/hi/episode/2026-01-05-08-38-20-hi Story Transcript:Hi: कड़कड़ाती ठंड थी और दिल्ली का कनॉट प्लेस मकर संक्रांति की रौनक से चमक रहा था।En: It was biting cold and Delhi's Connaught Place was shining with the festivity of Makar Sankranti.Hi: आसमान रंग-बिरंगी पतंगों से भरा हुआ था और सड़कों पर लोग हँसी-खुशी में मगन थे।En: The sky was filled with colorful kites, and the streets were bustling with happy, joyful people.Hi: अरविंद अक्सर कोने की चाय की दुकान पर आया करता था, लेकिन आज वह कुछ उलझा हुआ दिख रहा था।En: Arvind used to frequently visit the tea shop at the corner, but today he seemed a bit troubled.Hi: अरविंद के पास एक पत्र था, जो उसके परिवार से मिला था।En: Arvind had a letter that he received from his family.Hi: उसमें संवेदनशील जानकारी थी।En: It contained sensitive information.Hi: इसे खो देने का मतलब था उसके परिवार की इज़्ज़त दांव पर लगाना।En: Losing it would mean risking his family's honor.Hi: एक पल की लापरवाही में, वह पत्र खो गया।En: In a moment of carelessness, the letter was lost.Hi: उसकी करीबी दोस्त मीरा, जो हमेशा अरविंद के पास खड़ी रहती थी, ने उसे शांत करने की कोशिश की।En: His close friend Meera, who always stood by Arvind, tried to calm him down.Hi: मीरा ने महसूस किया कि ये मौका उसके लिए भी था कुछ नया अनुभव करने का।En: Meera realized that this was also an opportunity for her to experience something new.Hi: वे दोनों कनॉट प्लेस की भीड़ में पत्र खोजने के लिए जुट गए।En: Both of them set off to search for the letter in the crowded Connaught Place.Hi: अरविंद ने सोचा कि शायद कोई स्टॉल के पास गिरा होगा।En: Arvind thought it might have fallen near a stall.Hi: उसने धीरे-धीरे सभी स्टॉल्स की तलाशी लेनी शुरू की।En: He slowly started searching each stall.Hi: वहीं मीरा ने दुकानदारों और राहगीरों से पूछना शुरू किया।En: Meanwhile, Meera began asking shopkeepers and passersby.Hi: हर कदम पर उन्हें उम्मीद थी कि पत्र उन्हें मिल जाएगा, लेकिन कोई सफलता नहीं मिली।En: With every step, they hoped to find the letter, but there was no success.Hi: यह तब था जब उन्होंने देखा कि एक बच्चा पतंग उड़ा रहा है और उसके पास अरविंद का पत्र था।En: It was then that they saw a boy flying a kite, and he had Arvind's letter.Hi: अरविंद बच्चे के पास गया और थोड़ी बातचीत के बाद, उसने बच्चे को समझाया कि वह पत्र कितना महत्वपूर्ण है।En: Arvind approached the boy, and after a brief conversation, he explained how important the letter was.Hi: बच्चे ने खुशी-खुशी पत्र लौटा दिया।En: The boy happily returned the letter.Hi: वापस घर जाने से पहले, अरविंद और मीरा ने एक पल के लिए आसमान में उड़ती पतंगों को देखा।En: Before heading home, Arvind and Meera took a moment to gaze at the kites flying in the sky.Hi: अरविंद ने पहली बार मीरा के समर्थन को सराहा और वह समझ गया कि वह अकेला नहीं है।En: For the first time, Arvind appreciated Meera's support and realized he wasn't alone.Hi: मीरा ने देखा कि अरविंद मुस्कुरा रहा है और उसने महसूस किया कि दूसरों की मदद करना स्वयं की खुशी के लिए कितना महत्त्वपूर्ण है।En: Meera noticed Arvind was smiling and understood how important it is to help others for one's own happiness.Hi: दोस्तों ने एक दूसरे की ओर देखा, दोनों के चेहरों पर संतुष्टि थी।En: The friends looked at each other, a sense of satisfaction on both their faces.Hi: पत्र सुरक्षित था और कनॉट प्लेस की वो खट्टी-मीठी यादें उनके मन में बस गई थीं।En: The letter was safe, and the sweet and sour memories of Connaught Place stayed in their minds. Vocabulary Words:biting: कड़कड़ातीshining: चमक रहाfestivity: रौनकkite: पतंगbustling: मगनtroubled: उलझाfrequently: अक्सरsensitive: संवेदनशीलhonor: इज़्ज़तcarelessness: लापरवाहीcalm: शांतopportunity: मौकाcrowded: भीड़stall: स्टॉलsearching: तलाशीpassersby: राहगीरोंsuccess: सफलताgaze: देखाmemory: यादेंsupport: समर्थनrealize: समझ गयाappreciate: सराहाsatisfaction: संतुष्टिbrief: थोड़ीexplain: समझायाrisking: दांव पर लगानाmoment: पलstall: स्टॉलexperience: अनुभवimportance: महत्त्वपूर्ण

This presentation challenges instrumental views of technology by drawing on Sikh philosophy and global traditions of thought. Professor Mandair explores how alternative models of individuation and spirituality can reshape our relationship with technology beyond modern Western frameworks.

Fluent Fiction - Hindi: Unlocking Jaipur's Hidden Treasures: A Mysterious Fort Adventure Find the full episode transcript, vocabulary words, and more:fluentfiction.com/hi/episode/2025-12-21-08-38-20-hi Story Transcript:Hi: जैपुर की सर्दियों की एक खुशनुमा सुबह थी।En: It was a pleasant winter morning in Jaipur.Hi: आमेर किले की ऊँची दीवारों के बीच अरविंद, लीला और किरण घूम रहे थे।En: Among the towering walls of the Amer Fort, Arvind, Leela, and Kiran were wandering.Hi: किला बहुत ही भव्य था, अपनी विशाल गलियारों और intricate नक्काशी के साथ।En: The fort was magnificent, with its vast corridors and intricate carvings.Hi: चारों ओर क्रिसमस की सजावट थी, जिससे माहौल और भी रंगीन हो उठा था।En: All around, there were Christmas decorations, making the atmosphere even more colorful.Hi: अरविंद इतिहास के प्रति बेहद उत्सुक था और कुछ रोमांचक खोजने की चाह रखता था।En: Arvind was extremely curious about history and eager to discover something exciting.Hi: उसी समय, लीला हमेशा ही चीजों को लेकर सतर्क रहती थी, उसे पुरानी चीजों पर इतना भरोसा नहीं था।En: Meanwhile, Leela was always cautious about things and did not trust old artifacts much.Hi: किरण, अपनी जिज्ञासा और थोड़ी शरारत वाली आदत के साथ, हर नए रास्ते की ओर दौड़ पड़ती थी।En: Kiran, with her curiosity and playful nature, would run towards every new path.Hi: वे तीनों किले के अंदर एक संकरी और थोड़ी टूट फूट की स्थिति में दीवार के पास पहुँचे।En: The trio reached a narrow and slightly dilapidated spot near a wall inside the fort.Hi: वहाँ एक पत्थर थोड़ा हटकर अदृश्य दरवाजे की तरह दिखता था।En: There, a stone seemed slightly out of place, resembling a hidden door.Hi: अरविंद ने तुरंत अपने हाथों को खिसकाकर उस पत्थर को बाहर खींचा।En: Arvind immediately slid his hands and pulled out the stone.Hi: वहाँ से एक पुराना, घिसा-पिटा सा नक्शा गिरा।En: From there, an old, worn-out map fell.Hi: "यह क्या है?En: "What is this?"Hi: " किरण ने उत्सुकता से नक्शा उठाते हुए कहा।En: Kiran asked eagerly, picking up the map.Hi: नक्शे पर कुछ रहस्यमई रास्ते थे जो कि किले के भीतर गहनों की ओर इशारा कर रहे थे।En: The map showed some mysterious paths pointing towards treasures inside the fort.Hi: अरविंद की आँखों में एक चमक थी, "हमें इसे देखना चाहिए!En: Arvind's eyes sparkled, "We should check this out!"Hi: ""यह नक्शा कितना पुराना है, और यह किले का बंद क्षेत्र भी तो हो सकता है," लीला ने अपनी चिंता जताई।En: "This map seems very old, and it could also be a restricted area of the fort," Leela expressed her concern.Hi: लेकिन अरविंद और किरण ने जल्दी से फैसला किया कि वे अवश्य ही इस रोमांचक यात्रा पर निकलेंगे।En: But Arvind and Kiran quickly decided that they had to embark on this adventurous journey.Hi: फोर्ट बंद होने का समय नजदीक आ रहा था, लेकिन उन्हें रोकना मुश्किल था।En: The fort's closing time was approaching, but it was difficult to stop them.Hi: वे नक्शे के रास्ते पर चल पड़े।En: They started following the path on the map.Hi: पथरीले गलियारों से होकर एक गुप्त कक्ष के पास पहुंचे।En: Through the rocky corridors, they reached a secret chamber.Hi: सूरज का प्रकाश धीरे-धीरे गायब हो रहा था, और तभी अचानक उन्होंने पीछे से किसी के कदमों की आहट सुनी।En: The sunlight was slowly fading, and just then, they heard footsteps behind them.Hi: वे निश्चित रूप से अकेले नहीं थे।En: They were definitely not alone.Hi: लेकिन साहस का परिचय देते हुए, उन्होंने कमरे के बीचों-बीच एक पुराना बॉक्स खोला।En: But showing courage, they opened an old box in the middle of the room.Hi: उसमें नकदी या गहने नहीं थे, बल्कि एक ऐतिहासिक कलाकृति थी, जो मूल्यवान थी।En: It did not contain cash or jewels, but a historical artifact, which was invaluable.Hi: उनके सामने का रहस्य सुलझ चुका था।En: The mystery before them was solved.Hi: अरविंद को अब समझ आया कि इतिहास कितनी कहानियाँ समेटे हैं।En: Arvind now realized how many stories history holds.Hi: लीला भी थोड़े रोमांच की खुशी महसूस कर रही थी।En: Leela also felt the joy of a bit of adventure.Hi: उन्होंने उस महत्त्वपूर्ण कलाकृति को एक स्थानीय इतिहासकार को देने का फैसला किया, ताकि वह इसका सही आंकलन कर सके।En: They decided to give the important artifact to a local historian so that it could be properly assessed.Hi: इस अनुभव ने अरविंद को रोमांच से ज्यादा इतिहास के प्रति नई नजरिया दी।En: This experience gave Arvind a new perspective on history beyond just adventure.Hi: वहीं, लीला ने सीखा कि कभी-कभी नए अनुभवों को अपनाने में भी आनंद हो सकता है।En: Meanwhile, Leela learned that embracing new experiences can also bring joy.Hi: जैपुर की सर्द रात में, आमेर किले ने इन्हें एक अद्भुत कहानी दे दी थी।En: In the cold night of Jaipur, Amer Fort had gifted them an amazing story. Vocabulary Words:pleasant: खुशनुमाtowering: ऊँचीmagnificent: भव्यintricate: जटिलcorridors: गलियारोंexciting: रोमांचकcautious: सतर्कdilapidated: टूट फूटresembling: मिलता जुलताeagerly: उत्सुकता सेsparkled: चमकrestricted: बंदembark: प्रारंभapproaching: नजदीकsecret: गुप्तchamber: कक्षfootsteps: कदमों की आहटshowing courage: साहस का परिचयbox: बॉक्सhistorical artifact: ऐतिहासिक कलाकृतिinvaluable: मूल्यवानperspective: नजरियाembracing: अपनानेjoy: आनंदamazing: अद्भुतdiscover: खोजनाtreasures: गहनेassessed: आंकलनnew experiences: नए अनुभवsunlight: सूरज का प्रकाश

Glean started as a Kleiner Perkins incubation and is now a $7B, $200m ARR Enterprise AI leader. Now KP has tapped its own podcaster to lead it's next big swing.From building go-to-market the hard way in startups (and scaling Palo Alto Networks' public cloud business) to joining Kleiner Perkins to help technical founders turn product edge into repeatable revenue, Joubin Mirzadegan has spent the last decade obsessing over one thing: distribution and how ideas actually spread, sell, and compound. That obsession took him from launching the CRO-only podcast Grit (https://www.youtube.com/playlist?list=PLRiWZFltuYPF8A6UGm74K2q29UwU-Kk9k) as a hiring wedge, to working alongside breakout companies like Glean and Windsurf, to now incubating Roadrunner which is an AI-native rethink of CPQ and quoting workflows as pricing models collapse from “seats” into consumption, bundles, renewals, and SKU sprawl.We sat down with Joubin to dig into the real mechanics of making conversations feel human (rolling early, never sending questions, temperature + lighting hacks), what Windsurf got right about “Google-class product and Salesforce-class distribution,” how to hire early sales leaders without getting fooled by shiny logos, why CPQ is quietly breaking the back of modern revenue teams, and his thesis for his new company and KP incubation Roadrunner (https://www.roadrunner.ai/): rebuild the data model from the ground up, co-develop with the hairiest design partners, and eventually use LLMs to recommend deal structures the way the best reps do without the Slack-channel chaos of deal desk.We discuss:* How to make guests instantly comfortable: rolling early, no “are you ready?”, temperature, lighting, and room dynamics* Why Joubin refuses to send questions in advance (and when you might have to anyway)* The origin of the CRO-only podcast: using media as a hiring wedge and relationship engine* The “commit to 100 episodes” mindset: why most shows die before they find their voice* Founder vs exec interviews: why CEOs can speak more freely (and what it unlocks in conversation)* What Glean taught him about enterprise AI: permissions, trust, and overcoming “category is dead” skepticism* Design partners as the real unlock: why early believers matter and how co-development actually works* Windsurf's breakout: what it means to be serious about “Google-class product + Salesforce-class distribution”* Why technical founders struggle with GTM and how KP built a team around sales, customer access, and demand gen* Hiring early sales leaders: anti-patterns (logos), what to screen for (motivation), and why stage-fit is everything* The CPQ problem & Roadrunner's thesis: rebuilding CPQ/quoting from the data model up for modern complexity* How “rules + SKUs + approvals” create a brittle graph and what it takes to model it without tipping over* The two-year window: incumbents rebuilding slowly vs startups out-sprinting with AI-native architecture* Where AI actually helps: quote generation, policy enforcement, approval routing, and deal recommendation loops—Joubin* X: https://x.com/Joubinmir* LinkedIn: https://www.linkedin.com/in/joubin-mirzadegan-66186854/Where to find Latent Space* X: https://x.com/latentspacepodFull Video EpisodeTimestamps00:00:00 Introduction and the Zuck Interview Experience00:03:26 The Genesis of the Grit Podcast: Hiring CROs Through Content00:13:20 Podcast Philosophy: Creating Authentic Conversations00:15:44 Working with Arvind at Glean: The Enterprise Search Breakthrough00:26:20 Windsurf's Sales Machine: Google-Class Product Meets Salesforce-Class Distribution00:30:28 Hiring Sales Leaders: Anti-Patterns and First Principles00:39:02 The CPQ Problem: Why Salesforce and Legacy Tools Are Breaking00:43:40 Introducing Roadrunner: Solving Enterprise Pricing with AI00:49:19 Building Roadrunner: Team, Design Partners, and Data Model Challenges00:59:35 High Performance Philosophy: Working Out Every Day and Reducing Friction01:06:28 Defining Grit: Passion Plus Perseverance Get full access to Latent.Space at www.latent.space/subscribe

Glean started as a Kleiner Perkins incubation and is now a $7B, $200m ARR Enterprise AI leader. Now KP has tapped its own podcaster to lead it's next big swing. From building go-to-market the hard way in startups (and scaling Palo Alto Networks' public cloud business) to joining Kleiner Perkins to help technical founders turn product edge into repeatable revenue, Joubin Mirzadegan has spent the last decade obsessing over one thing: distribution and how ideas actually spread, sell, and compound. That obsession took him from launching the CRO-only podcast Grit (https://www.youtube.com/playlist?list=PLRiWZFltuYPF8A6UGm74K2q29UwU-Kk9k) as a hiring wedge, to working alongside breakout companies like Glean and Windsurf, to now incubating Roadrunner which is an AI-native rethink of CPQ and quoting workflows as pricing models collapse from “seats” into consumption, bundles, renewals, and SKU sprawl. We sat down with Joubin to dig into the real mechanics of making conversations feel human (rolling early, never sending questions, temperature + lighting hacks), what Windsurf got right about “Google-class product and Salesforce-class distribution,” how to hire early sales leaders without getting fooled by shiny logos, why CPQ is quietly breaking the back of modern revenue teams, and his thesis for his new company and KP incubation Roadrunner (https://www.roadrunner.ai/): rebuild the data model from the ground up, co-develop with the hairiest design partners, and eventually use LLMs to recommend deal structures the way the best reps do without the Slack-channel chaos of deal desk. We discuss: How to make guests instantly comfortable: rolling early, no “are you ready?”, temperature, lighting, and room dynamics Why Joubin refuses to send questions in advance (and when you might have to anyway) The origin of the CRO-only podcast: using media as a hiring wedge and relationship engine The “commit to 100 episodes” mindset: why most shows die before they find their voice Founder vs exec interviews: why CEOs can speak more freely (and what it unlocks in conversation) What Glean taught him about enterprise AI: permissions, trust, and overcoming “category is dead” skepticism Design partners as the real unlock: why early believers matter and how co-development actually works Windsurf's breakout: what it means to be serious about “Google-class product + Salesforce-class distribution” Why technical founders struggle with GTM and how KP built a team around sales, customer access, and demand gen Hiring early sales leaders: anti-patterns (logos), what to screen for (motivation), and why stage-fit is everything The CPQ problem & Roadrunner's thesis: rebuilding CPQ/quoting from the data model up for modern complexity How “rules + SKUs + approvals” create a brittle graph and what it takes to model it without tipping over The two-year window: incumbents rebuilding slowly vs startups out-sprinting with AI-native architecture Where AI actually helps: quote generation, policy enforcement, approval routing, and deal recommendation loops — Joubin X: https://x.com/Joubinmir LinkedIn: https://www.linkedin.com/in/joubin-mirzadegan-66186854/ Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction and the Zuck Interview Experience 00:03:26 The Genesis of the Grit Podcast: Hiring CROs Through Content 00:13:20 Podcast Philosophy: Creating Authentic Conversations 00:15:44 Working with Arvind at Glean: The Enterprise Search Breakthrough 00:26:20 Windsurf's Sales Machine: Google-Class Product Meets Salesforce-Class Distribution 00:30:28 Hiring Sales Leaders: Anti-Patterns and First Principles 00:39:02 The CPQ Problem: Why Salesforce and Legacy Tools Are Breaking 00:43:40 Introducing Roadrunner: Solving Enterprise Pricing with AI 00:49:19 Building Roadrunner: Team, Design Partners, and Data Model Challenges 00:59:35 High Performance Philosophy: Working Out Every Day and Reducing Friction 01:06:28 Defining Grit: Passion Plus Perseverance

80 milliards de dollars pour un rachat et sans intelligence artificielle cette fois ! C'est en tout cas la volonté de la part de Netflix de racheter Warner Bros. Et puis on a un premier lauréat comme première grande plateforme à être sanctionnée par l'Union européenne dans le cadre du Digital Services Act (DSA) : c’est X pour 140 millions de dollars au sujet de plusieurs manquements jugés graves. Nouveau : offrez un abonnement Patreon pour Noël : techcafe.fr/cadeau Patreon YouTube Discord Interactions auditeurs Gloups, je suis un poisson avec Thiasma. Le répondeur et Chat control. Mika Excelle ? Une vidéo spécial dédicace pour Steven40k. L'explorateur de xZ0Uka. Warned Bros Microsoft 365 augmente encore ses prix, c'est pas fini… AWS re:Invent pas la roue. Arvind et Dario sont dans un bateau. OpenAI en code rouge, surtout côté compta. Meta devient de plus en plus méta. Confundo ! Netflix rachète Harry. Et Joël aussi… Les jeux vidéo sont concernés. Apollo en PLS : Artemis va-t-elle se faire griller ? Plainte contre X : Elon sanglot des violons de l'automne… Le Père Noël n’aime pas que vous offriez des abonnements Patreon ! (vidéo) French Touch Tesla en balade à Paname. Le vent se (re)lève : nouveaux Mistral et Ministral. La baleine revient, où se planque-t-on ? Le Gradium qui tombe à pic et la fête de l'UMA. Jeux vidéo Le housing arrive sur Wow, moi je veux aller chez les pandas. Frame : I wanna live forever, I'm gonna learn how to fly. Que dort Médine : EA beaucoup plus Saoudien que prévu. Participants Une émission préparée par Guillaume Poggiaspalla Présenté par Guillaume Vendé

IBM was instrumental to the entire 20th century of computing — but it's a lot harder for most of us to see what it's been up to during this century. That's because it's fully an enterprise company, and CEO Arvind Krishna says that business is booming. But there's a huge change coming to that business as well, as Watson-style deep learning has given way to LLMs and generative AI. Sure, Arvind says IBM got there a little too early. But he doesn't seem concerned that IBM would be stuck on the sidelines.  Links:  Computer wins on ‘Jeopardy!': Trivial, it's not | New York Times (2011) What Ever Happened to IBM's Watson? | New York Times (2021) America Forgot About IBM Watson. Is ChatGPT Next? | The Atlantic IBM acquires Red Hat | The Verge IBM and Groq Partner to Accelerate Enterprise AI Deployment | IBM IBM's Jerry Chow on the future of quantum computing | Decoder IBM: quantum computing partnership with AMD is bearing fruit | The Verge Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Our producers are Kate Cox and Nick Statt. Our editor is Ursa Wright. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Join Reality After Show Podcaster Lauren Pratt as she sits down with 99 to Beats Arvind Srinivasaraghavan and James Meadows to talk about their experience on the show! #99tobeatfox #realityaftershow #realitytv #podcast

Fresh off the biggest OneDrive moment of the year, Stephen and Arvind return with a full recap of the Copilot + OneDrive event—breaking down the announcements, the behind-the-scenes surprises, and the features that are already reshaping how we work. From personalized intelligence with the FAB button to the future of search, photos, and Researcher, the team walks through the four major themes of the show and shares what it was like to step on camera as part of the launch. They even react to the unexpected blooper reel that made its way into the final cut! This episode also features a special guest: Belle Podeanu, product manager behind the brand-new Transfer Ownership experience. Belle walks through how the team redesigned this critical workflow end-to-end—from modernized emails to shared-file filtering to smarter move-and-keep-sharing options—all built to reduce data loss and simplify transitions when employees leave.

We welcome back Arvind Subramanian, Senior Fellow at the Peterson Institute for International Economics, to Kopi Time. We focus on some recent work by Arvind and Shoumitro Chatterjee (see article here), in which they argue that China’s continued dominance in low-skill export sectors reflects not just efficiency, but deliberate policy choices that prevent poorer countries from climbing the development ladder. We talk about their findings, nuances to the conclusions, implication for trade and exchange rate policy, geopolitical considerations, and delve into a few issues beyond the article, including China’s rapid climb up the technology value-addition ladder. We also touch in Arvind’s new book, A Sixth Of Humanity: Independent India's Development Odyssey, co-authored with Devesh Kapur.See omnystudio.com/listener for privacy information.

A Sixth of Humanity: Independent India's Development Odyssey is a landmark new book by the scholars Devesh Kapur and Arvind Subramanian.The book is an audacious attempt to trace how India—uniquely and daringly—attempted four concurrent transformations—building a state, creating an economy, changing society, and forging a sense of nationhood under conditions of universal suffrage.It is the joint product of one of India's most respected political scientists and one of its best known economists. The book includes insights from politics, economics, history, and literature and provides a developmental history of India that is big, bold, engaging, and utterly unique.To talk more about their book and the lessons it holds for India's next 75 years, Arvind and Devesh return to Grand Tamasha to speak with Milan.Devesh Kapur is the Starr Foundation professor of South Asia Studies at Johns Hopkins University School of Advanced International Studies.Arvind Subramanian is senior fellow at the Peterson Institute for International Economics, in Washington, DC. He previously served as former chief economic adviser to the government of India.The trio discuss the vision for the book, India's checkered history of upholding the rule of law, and what we get wrong about India's tryst with central planning. Plus, they discuss India's stellar record as an export powerhouse, the long shadow of vested interests, the pressures on India's model of fiscal federalism, and ongoing challenges with nation-building.Watch the video version of this episode here.Episode notes:1. Arvind Subramanian, “Can India reverse its manufacturing failure?” Financial Times, November 10, 2024.2. Josh Felman and Arvind Subramanian, “Is India Really the Next China?” Foreign Policy, April 8, 2024.3. “The Future of India's Fiscal Federalism (with Arvind Subramanian),” Grand Tamasha, October 16, 2024.4. Amit Ahuja and Devesh Kapur, eds., Internal Security in India: Violence, Order, and the State (New York: Oxford University Press, 2023).5. “Opening the Black Box of India's Internal Security State (with Amit Ahuja and Devesh Kapur),” Grand Tamasha, May 10, 2023.6. Devesh Kapur, “Why Does the Indian State Both Fail and Succeed?” Journal of Economic Perspectives 34, no. 1 (Winter 2020): 31-54.7. Rohit Lamba and Arvind Subramanian, “Dynamism with Incommensurate Development: The Distinctive Indian Model,” Journal of Economic Perspectives 34, no. 1 (Winter 2020): 3-30.8. Yamini Aiyar, “New GST regime: A grand bargain reduced to imperfect compromise,” Hindustan Times, October 7, 2025.9. “A Blueprint for India's State Capacity Revolution (with Karthik Muralidharan),” Grand Tamasha, May 23, 2024.

Join us on this episode of FNO InsureTech as we welcome Arvind Sontha, the visionary founder and CEO of Kyber. Hear about his interesting journey from Google's cutting-edge technology to revolutionizing claims processing through AI-powered document solutions. Arvind shares his insights on tackling the complexities of compliance and personalization in the insurance industry, alongside inspiring and honest stories of building Kyber from the ground up. Whether you're curious about the intersection of AI and insurance or eager to learn from a startup pioneer's experiences, this episode is packed with valuable insights and inspiring tales. Key Highlights Kyber leverages AI to automate document creation for insurance carriers, addressing the industry finding that “40% of claims time is spent on paperwork.” The platform supports multilingual output, including Spanish, Italian, and French, with pending carrier requests for Haitian Creole and Russian. Kyber integrates efficiently with core systems such as Guidewire, SnapSheet, and PCMS, enabling streamlined workflow within carriers' existing technology environments. AI-driven templates are designed to maintain regulatory compliance and reduce manual intervention in claims documentation processes. Founder Arvind Sontha brings experience from applied machine learning at Google and practical knowledge gained as a licensed insurance broker.

In this week's episode, host Daniel Raimi talks with Arvind Ravikumar, an assistant professor at the University of Texas at Austin, about recent federal deregulation of methane emissions in the United States; specifically, the effects on methane emissions from the production of natural gas and liquefied natural gas. Ravikumar highlights some of his recent research, which explores how all steps in the supply chain of natural gas can affect emissions intensity—including transportation of the energy source to end users—and the variation in methane emissions across countries from their natural gas supply chains. References and recommendations: “Tracking U.S. Liquefied Natural Gas Supply Chain Greenhouse Gas Emissions Intensity through Direct Measurements” by Yuanrui Zhu, Greg Ross, Jenna Brown, Olga Khaliukova, William Daniels, Jiayang (Lyra) Wang, Selina Roman-White, Fiji George, Daniel Zimmerle, Dorit Hammerling, and Arvind Ravikumar; https://chemrxiv.org/engage/chemrxiv/article-details/6882ca69fc5f0acb52e159e3 “Probabilistic, Measurement-Informed Greenhouse Gas Emissions from Global Liquefied Natural Gas Supply Chains Reveal Wide Country-Level Variation” by Haoming Ma, Yuanrui Zhu, Wennan Long, Mohammad Masnadi, Garvin Heath, Paul Balcombe, Fiji George, Selina Roman-White, and Arvind Ravikumar; https://chemrxiv.org/engage/chemrxiv/article-details/6883b68723be8e43d6fdcf73 “AI as Normal Technology” by Arvind Narayanan and Sayash Kapoor; https://knightcolumbia.org/content/ai-as-normal-technology

Sponsored by Auth0 for Startups --> 1-year free https://auth0.com/startups/vipAuth0 is an adaptable authentication and authorization platform that helps you secure your apps and AI agents. It delivers convenience, privacy, and security so you can focus on building a great UX.FOUNDER PROFILE:Arvind Parthasarathihttps://www.linkedin.com/in/arvindparthasarathi/  

Back from a short summer break, Stephen and Arvind return with a brand-new Sync Up episode—spotlighting audio overviews in OneDrive. From quick summaries to full podcast-style recaps, this new Copilot feature transforms how you catch up on documents. Joining the conversation are Cass Weber and Cammi Mejia from the OneDrive team, who share the inside story of bringing Audio Overviews to life: the pivots they made along the way, the challenges of testing AI outputs, and even a few laugh-out-loud moments (pirate voices included). Whether you're on the go, pressed for time, or just looking for a smarter way to digest dense content, this episode has something for you.   ▶️  Subscribe to SyncUp on YouTube   Stephen Rice | LinkedIn | co-host Arvind Mishra | LinkedIn | co-host Cass Weber | LinkedIn | guest Cami Mejia | LinkedIn | guest OneDrive | Twitter | Blog | Newsletter

Discover how Glean AI is transforming enterprise productivity with AI-powered search and intelligent agents.About the episode:Join Nataraj as he explores the evolution of enterprise AI with Arvind Jain, CEO of Glean. From its roots as an AI-powered search solution, Glean has transformed into a comprehensive AI agent platform, helping companies like Zapier, Carta, and Grammarly boost productivity. Arvind shares his journey, the challenges of building a universal AI assistant, and his vision for the future of AI at work. Discover how Glean is helping enterprises leverage AI to streamline workflows and enhance employee efficiency. Learn how Glean ensures AI delivers value safely and securely.What you'll learnUnderstand the evolution of Glean from an AI-powered search tool to a comprehensive AI agent platform.Discover how Glean helps enterprises address productivity challenges by providing quick access to internal knowledge.Learn about the techniques Glean employs to reduce hallucinations and ensure accurate, reliable AI-driven insights.Explore the diverse use cases of AI agents in sales, customer service, engineering, and legal departments.Gain insights into Arvind Jain's vision for the future of work, where AI proactively assists employees in their daily tasks.About the Guest and Host:Arvind Jain: CEO of Glean, work AI platform, and co-founder of Rubrik.Connect with Guest:→ LinkedIn: https://www.linkedin.com/in/jain-arvind→ Website: glean.comNataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor.→ LinkedIn: https://www.linkedin.com/in/natarajsindam/→ Substack: ⁠https://startupproject.substack.com/⁠In this episode, we cover(00:01) Introduction to Arvind Jain and Glean AI(01:13) What Glean does: AI-powered search and conversational AI assistant(03:43) The origin story of Glean: Solving productivity challenges in fast-growing companies(06:46) The evolution from search to an AI assistant(09:45) The advantages of tackling hard problems in startups(12:37) Techniques to reduce AI hallucinations and ensure accuracy(17:31) Model Hub: The different models Glean uses(20:16) Use cases for AI agent platforms across various departments(24:42) Workflow agents and the importance of integrations(31:59) The future of work: Proactive AI companions(37:14) Glean's cross-platform vision(39:07) How AI is changing the business of fast-growing startups(43:39) How Glean is becoming more AI-first internally(47:04) Ideas Arvind would explore if starting over with AI(49:49) Key metrics Arvind watches at Glean AIDon't forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts.#GleanAI #EnterpriseAI #AISearch #AIAgents #FutureofWork #Productivity #ArtificialIntelligence #Innovation #SaaS #Startups #BusinessInsights #Technology #AIPlatform #WorkflowAutomation #MachineLearning #DeepLearning #AIStrategy #DigitalTransformation #AIinBusiness #TechPodcast

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Arvind Sontha, COE and co-founder of Kyber, an AI startup redefining how carriers handle claims correspondence. The insurance industry is undergoing a seismic shift as carries face mounting pressure to deliver faster, more transparent, and compliant communications to policy holders and clients, so the need for digital claims transformation has never been greater. KEY TAKEAWAYS If you think about insurance and tailoring insurance, the underlying model for risk is effectively a ‘user personal model'. We started with an obscure line of insurance that didn't exist yet – or did around personal cyber insurance. We wondered what it would look like, rather than SMB or commercial cyber insurance, as individual underwriting and risk modelling. We got lucky finding a great partner in branch insurance very early on. Over the course of our time engaging with them we ended up turning into an extension of their team. We were able to work closely with them, they trusted us to quickly understand their problems and iterate to give them quick solutions, while at the same time they understood that there are going to be quirks with products that aren't fully fleshed out which they could iron out over time. It was a symbiotic relationship. If an adjustor has to take an hour to put a document together you have to clear a 1.5-hour space in your calendar to do that. Life is hectic, you have meetings and other tasks to do and so that 1.5-hour block keeps getting moved back, same thing happens to managers. If you can take it from 1.5 hours to 30 seconds for a high-quality letter and a one-click process to approve, you can slip that into any part of your calendar. That's a really underrated part of the process. Some of the things we want to do in the future is include things like managed parameters. We think it's obtuse for all the carriers to manage all the fraud language individually all the time, for example. Kyber could manage that for you to make sure everything's automatically compliant and good to go. Statutory language really enables the full organisation to be prepared to catch each other. BEST MOMENTS ‘Kyber is an AI native, document generation and delivery platform made for claims teams, that's what we do.' ‘Nobody doubted that I could build the complex AI to underwrite and quantify the risk, what they needed to figure out was could I sell insurance, which is why I got my broker's licence!' ‘The results have been better than I expected, we've seen 65% faster drafting times, 80% consolidation of their templates across a 50-state operation, and 5x reduction in letter cycle times for documents.' ABOUT THE GUESTS Arvind Sontha is co-founder and CEO of Kyber, an AI startup that is redefining how carriers' NTPAs handle claims correspondence. Arvind is at the forefront of digital transformation, leading Kyber's mission to automate and streamline the entire lifecycle of claims forms and letters. Kyber's clients report the impact of AI automation is undeniable: Claims teams using Kyber have reduced letter drafting time by up to 85%, cut review time by 60%, and achieved a 3x faster outreach to policy holders. LinkedIn ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook TikTok Email Website This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

Arvind Jain is the founder and CEO of Glean, the Work AI platform that connects to all your company's data so you can find, create, and automate anything. In this episode, Arvind shares his journey as a second-time founder and first-time CEO, reflecting on the challenges of moving from a deeply technical role into leading an organization.He talks about why selling is one of the most important skills for founders, the importance of hiring for desire and cultural fit, and how company culture and values shape everything from attracting talent to making tough decisions. Arvind also shares how persistence helps founders push through moments of market indifference, and why self-reflection is one of the most powerful tools for becoming an effective leader.Whether you're a first-time founder, a seasoned operator, or simply curious about the human side of leadership, this episode offers a grounded look at what it takes to grow both a company and yourself along the way.Where to find Naveen:GleanXLinkedInIn this episode, you'll learn:How a CEO needs to adapt The crucial skill for founders. The most important traits to look for when hiring. How company culture leads to attracting talent.Self-reflection is vital for effective leadership.Timestamps:(00:00) Introduction and Context Setting(01:32) Transitioning from Founder to CEO(05:47) Learning to Sell and Collaborate(10:08) Hiring for Growth and Culture(18:18) The Vision Behind Glean and AI Integration(25:19) The Importance of Company Culture(26:40) The Challenges of the Startup Journey(31:02) Building a Strong Company Culture(37:51) Navigating Early Struggles and Market Challenges(44:43) Self-Reflection and Leadership Growth(53:26) Lessons Learned and Advice for FoundersConnect with Alisa! Follow Alisa Cohn on Instagram: @alisacohn Twitter: @alisacohn Facebook: facebook.com/alisa.cohn LinkedIn: https://www.linkedin.com/in/alisacohn/ Website: http://www.alisacohn.com Download her 5 scripts for delicate conversations (and 1 to make your life better) Grab a copy of From Start-Up to Grown-Up by Alisa Cohn from Amazon

In this episode of Action Junkeez, Jon Orlando sits down with Dr. Arvind Chakravarthy to talk all things health, fitness, and weight loss. From breaking common diet myths to revealing the science behind lasting results, Dr. Chakravarthy shares practical tips anyone can use to transform their body and improve their life. Whether you're an athlete, a weekend warrior, or just starting your fitness journey, this conversation will get you motivated to take action.

In this episode of Gradient Dissent, Lukas Biewald sits down with Arvind Jain, CEO and founder of Glean. They discuss Glean's evolution from solving enterprise search to building agentic AI tools that understand internal knowledge and workflows. Arvind shares how his early use of transformer models in 2019 laid the foundation for Glean's success, well before the term "generative AI" was mainstream.They explore the technical and organizational challenges behind enterprise LLMs—including security, hallucination suppression—and when it makes sense to fine-tune models. Arvind also reflects on his previous startup Rubrik and explains how Glean's AI platform aims to reshape how teams operate, from personalized agents to ever-fresh internal documentation.Follow Arvind Jain: https://x.com/jainarvindFollow Weights & Biases: https://x.com/weights_biasesTimestamps: [00:01:00] What Glean is and how it works [00:02:39] Starting Glean before the LLM boom [00:04:10] Using transformers early in enterprise search [00:06:48] Semantic search vs. generative answers [00:08:13] When to fine-tune vs. use out-of-box models [00:12:38] The value of small, purpose-trained models [00:13:04] Enterprise security and embedding risks[00:16:31] Lessons from Rubrik and starting Glean [00:19:31] The contrarian bet on enterprise search [00:22:57] Culture and lessons learned from Google [00:25:13] Everyone will have their own AI-powered "team" [00:28:43] Using AI to keep documentation evergreen [00:31:22] AI-generated churn and risk analysis [00:33:55] Measuring model improvement with golden sets[00:36:05] Suppressing hallucinations with citations [00:39:22] Agents that can ping humans for help [00:40:41] AI as a force multiplier, not a replacement [00:42:26] The enduring value of hard work

Today, I'm joined by Dr. Arvind Chakravarthy and Sanjiv Lal—two visionaries at the forefront of regenerative medicine. Dr. Arvind, an ER doctor turned regenerative therapy expert, and Sanjiv, a former pharmaceutical scientist now pioneering next-gen biotech, share their journey from the broken systems of traditional medicine to developing breakthrough therapies that reawaken the body's youthful potential.   What we discuss:Defining stem cells, exosomes, and cell factor ... 00:12:21 Analogies to understand regenerative therapy landscape ... 00:12:21 Placental sourcing and cell factor science ... 00:15:31 Restoring “stemness” and youthful healing ... 00:19:04 Safety & screening for cell-derived products ... 00:20:26 Cell factor vs. exosomes & clinical applications ... 00:27:05 Inflammation modulation & case studies (injury, autism, alopecia) ... 00:34:08 Lymphatic system's role & immune modulation ... 00:40:14 Combining with peptides; protocol innovations ... 01:03:25 Chronic pain, receptor reset, and medication reduction ... 01:08:10 Access, affordability, and regulatory notes ... 01:12:42   Our Amazing Sponsors: NEW Timeline Gummies: Urolithin A supports muscle strength and cellular energy. It's about improving how your body functions at the source. Mitopure is the only clinically proven Urolithin A, giving you six times more than you'd get from a glass of pomegranate juice. Visit Timeline.com/nat20 and use code nat20 for 20% off your purchase.    StemRegen - A plant-based supplement protocol designed to enhance stem cell function. support your recovery, flexibility, and long-term vitality. Visit stemregen.co/NAT15 and use code: NAT15 for 15% off your order.   LVLUP - Ultimate GI Repair by LVLUP Health - Whether you're struggling with digestive discomfort or want to strengthen your gut health, Ultimate GI Repair provides the comprehensive support your body needs to restore balance. The ingredients are unmatched! Visit https://lvluphealth.com/ and use code NAT at checkout for 20 % off.   More from Nat:  YouTube Channel Join My Membership Community Sign up for My Newsletter  Instagram  Facebook Group

Send us a textKathy and Ramesh review Meiyazhagan (transl. The man with a beautiful soul), a 2024 Indian Tamil-language drama film written and directed by C. Prem Kumar. It is produced by Jyothika and Suriya under 2D Entertainment. The film stars Karthi and Arvind Swamy in the lead roles alongside Rajkiran, Sri Divya, Devadarshini, Jayaprakash, Sriranjani, Ilavarasu, Karunakaran and Saran Shakthi.Support the show

When Arvind Ethan David was a student, he decided to adapt the Douglas Adams novel Dirk Gently's Holistic Detective Agency into a play. Arvind didn't imagine that Adams would show up to see the play (which he did), nor that Arvind would grow up to become a caretaker of Adams' legacy. Arvind just released an audiobook called Douglas Adams: The Ends of The Earth, produced by Pushkin Industries. It features unheard archival audio of Douglas Adams and interviews with friends and colleagues of the late author who ponder what Adams was trying to tell us, and whether the great humorist always meant what he said. I talk with Arvind about the origin of the audiobook, and we hear an excerpt on why Adams publicly rejected the label of being a science fiction author -- even though he had created a sci-fi cultural phenomenon with The Hitchhiker's Guide to The Galaxy. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Two visions for the future of AI clash in this debate between Daniel Kokotajlo and Arvind Narayanan. Is AI a revolutionary new species destined for runaway superintelligence, or just another step in humanity's technological evolution—like electricity or the internet? Daniel, a former OpenAI researcher and author of AI 2027, argues for a fast-approaching intelligence explosion. Arvind, a Princeton professor and co-author of AI Snake Oil, contends that AI is powerful but ultimately controllable and slow to reshape society. Moderated by Ryan and David, this conversation dives into the crux of capability vs. power, economic transformation, and the future of democratic agency in an AI-driven world. ------