Podcasts about Shashank

Coming up with AI ideas isn't the struggle for most teams. The real challenge is to make those ideas stick. In this episode, Shashank Kadetotad, Global Senior Director of Enterprise Data Science and AI at Mars, breaks down what helps companies move from interesting pilots to real business impact. He explains why adoption matters just as much as the technology itself, how culture and leadership shape success and why the best AI solution is not always the most complex one.  You'll get practical advice on involving the right users early, setting clear success and failure criteria for pilots and deciding when to build versus buy. Shashank shares lessons from leading AI work inside major organizations and offers a grounded view of what it takes to scale responsibly. If your team is trying to get more value from AI, this conversation will give you a clearer and more useful way to think about the work.  Leader Generation is hosted by Tessa Burg and brought to you by Mod Op. About Shashank Kadetotad: Shashank Kadetotad is the Global Senior Director of Enterprise Data Science and AI at Mars, where he leads the deployment of AI and advanced analytics across global consumer goods operations. With a background that spans Amazon operations, retail and CPG forecasting, and AI leadership across multiple Fortune 500 companies, he has built and scaled enterprise AI platforms that power decisions in supply chain, marketing, and finance. Shashank is recognized for his work on generative AI and multi-agent architectures, with multiple provisional patents focused on applying AI to product innovation, analytics, and consumer engagement. A frequent industry speaker, he is known for making complex AI topics accessible to business leaders while keeping the focus on responsible, high-impact AI in retail and CPG. He can be reached on LinkedIn. 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.

What happens to career strategy, leadership, and professional growth when the traditional rules of the corporate game are rewritten in real time?  In this episode of TRUST ME I KNOW WHAT I'M DOING, I sit down with executive search expert, leadership advisor, and host of the Corporate Confessions podcast, Deepali Vyas. Known widely as the "Elite Recruiter," Deepali has spent 25 years advising Fortune 500 companies, hedge funds, and high-growth AI organizations on executive hiring and leadership strategy.  Deepali pulls back the curtain on the "unwritten rules" of hierarchical organizations and explains why the traditional chronological resume is completely dead in today's attention-deficit economy. She introduces a modern framework for career positioning, detailing how professionals can build "The Signal"—a powerful one-page personal narrative—and why tying your outcomes directly to the dollar is essential for survival.  We also dive deep into the rising era of the "Company of One," the crucial differences between mentorship and true sponsorship, and how human skills like storytelling and judgment become your ultimate agency in the age of Agentic AI.  Deepali shares insights on:• The Death of the Traditional Resume: Why a chronological autobiography fails to get noticed, and how to capture an employer's attention in six seconds using "The Signal".  • The "So What" Filter: A simple, high-impact framework to flip your resume bullet points from passive tasks into quantifiable business value.  • Advisor vs. Mentor vs. Sponsor: Delineating these three fluid yet distinct roles, and why assuming your manager is your mentor by default is a common career trap.  • The "Company of One" Era: How new graduates and professionals can use portfolio careers and skill-stacking to build independent influence and security.  • Overcoming the Intelligence Paradox: Why highly accomplished individuals frequently fall into analysis paralysis, and how executive judgment thrives under ambiguity.  Whether you're a recent graduate navigating an unstable market, an executive looking to pivot, or someone trying to protect your human agency in an automated world, Deepali's masterclass in career literacy provides an invaluable blueprint.  If you enjoyed this deep dive, please hit that subscribe button, leave a comment, and share this video with someone looking to scale their own vision!   --------------------------Chapters-00:00 Introduction01:32 Deciphering Success in a Disrupted World04:05 The Unwritten Rules of Corporate Culture07:35 Post-Pandemic Workforce and Changing Rules09:23 Why the Traditional Resume Is Dead12:11 Tying Your Value to the Dollar: Modern Resume Metrics14:14 Falling into Recruiting: Cowardly Resignations & Indian Parents15:49 Navigating Wall Street & Standing Out at Goldman Sachs17:30 Sponsor Break: Travelopod19:18 Advisor vs. Mentor vs. Sponsor: Delineating the Roles23:47 Learning from Mentorship Mistakes and taking action28:49 Sponsor Break: Timberdog29:19 Overcoming the "Intelligence Paradox" & The "So What" Filter32:53 Identity, Seasons of Career, and Merit36:55 Portfolio Careers & The Era of the "Company of One"40:50 Cultivating Trust & Why AI Will Never Replace Human Connection42:44 Wrap-up & Shoutouts

Most AI failures won't come from a bad model. They'll come from bad data.Shashank Saxena spent most of his career on the buying side of enterprise technology before founding VNDLY which was acquired by Workday for $510 million. He then joined Sierra as a Managing Partner before going full time as Co-founder and CEO of Pantomath, a data operations center for enterprises that are betting their future on AI agents.We discuss why data quality is becoming one of the biggest challenges in enterprise AI. An AI agent fed bad data for 12 hours doesn't go rogue. It just makes 12 hours of wrong decisions: rejecting insurance claims, issuing credit cards, or drilling in the wrong location. As more business decisions are delegated to AI systems, companies will need far greater visibility into what is happening across their data infrastructure.Shashank also shares the decisions that led to VNDLY's acquisition, the advice he'd give founders evaluating acquisition offers today, and why a Michael Jordan analogy continues to motivate him as a second-time founder.If you're building enterprise software, selling to large companies, or trying to figure out whether experience is an asset or a liability in the AI era, this episode is for you.0:00 - Trailer01:00 - How Shashank became a second-time founder07:20 - Where Pantomath sits in the data stack10:55 - How a broken Tableau report turns mission-critical with AI12:55 - Who Pantomath sells to15:35 - Solving for a problem that doesn't exist yet19:03 - How have founder expectations changed today?20:31 - Series B companies pre- and post-AI21:26 - The Michael Jordan example23:57 - How a repeat founder chooses investors25:10 - What value Snowflake adds as a strategic investor27:05 - Data is not an open category today28:34 - The astounding Databricks outcome29:08 - The reality of the $100 million ARR number31:48 - Will non-human workers 100x in the next few years?36:00 - How to protect data in motion37:26 - How comfortable are we giving full access to agents?39:47 - Where is automation fastest today?42:09 - Why entrepreneurs tend to like uncertainty43:28 - Why Shashank chose to be a founder45:48 - A customer-driven $510M acquisition48:32 - Employees vs contractors in any organization51:22 - Building from Ohio vs the Bay Area53:14 - Learnings from selling to enterprises56:31 - How Shashank raised from Tier 1 US VCs59:19 - Heads down or network as a founder?1:02:47 - First-time vs second-time founder edge in AI1:06:22 - Hiring as a repeat founder1:08:08 - How enterprise sales has changed1:10:52 - How do you sell for a problem that isn't visible today?1:12:58 - Best piece of advice1:16:27 - The only advice for a founder considering M&A1:21:06 - Position yourself to be capable of taking risks1:24:51 - What matters to an enterprise buyer?-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us Fan Mail

In this episode, we take a break from our usual astronomical antics to reflect on sustainability in the cosmos. Cormac, Cole and Shashank explore how the Universe manages to recycle material across all scales, from pepping up prostrated pulsars to cleaning up our orbital backyard. We conclude with a discussion of how analogies are (sometimes over)used in astronomy, and ponder when exactly a supernova remnant begins. Astrobites: Recycle your paper, plastic, and… pulsars? https://astrobites.org/2026/03/31/transitional_millisecond_pulsar The Final Frontier for the Circular Economy https://astrobites.org/2026/04/24/the-final-frontier-for-the-circular-economy Video about Swift boost mission: https://youtu.be/Up0LNTMPnjI

Welcome to PGX: Raw & Real #184PGX: Raw & Real is simple. I sit with people who've lived through something and/or made it big.This isn't meant to be inspiration or a template for life (for that, you can check out PGX Ideas).This space is different. It's their story, as they experienced it.In this episode, I spoke to Shashank Udupa — SEBI Registered Research Analyst.Timestamps:00:00 - Intro03:25 - Why the Cockroach Janata Party went viral11:02 - Why PM Modi warned people about gold16:47 - Is PM's speech a temporary shock or deeper?22:17 - Is economic setback is structural collapse or temporary25:33 - Lessons from the 2013 crash31:41 - How India's economy changed after 202035:10 - Why foreign investors are leaving India42:28 - How the energy crisis affects India49:34 - How Fixing energy dependence will fix everything53:54 - Should you travel abroad or stay home?01:00:40 - Why India should use electric vehicles01:03:00 - Too many problems hitting at once01:06:40 - Advice for Middle Class01:13:33 - Why does PM Modi do too many foreign trips?01:20:29 - Is the world order changing?01:27:00 - The future of India01:34:57 - Advice for Young IndiansEnjoy.— Prakhar

We've known about the existence of galaxies for about a hundred years, but how well do we actually know the extragalactic universe? In today's episode, we dive deep on the earliest galaxies in the universe. Sanika covers her first bite on paradoxical galaxies that seem to be the deadest where we expect them to be alivest, and Shashank shows us a source of hidden mass in ancient galaxies that for once isn't dark matter.    Astrobites:   The Walking Red: Why are you so quiet and overdense? https://astrobites.org/2026/04/03/walking-red/   Too Massive, Too Early… and Still Not Massive Enough? https://astrobites.org/2026/04/07/too-massive-too-early/   Space Sound: https://www.youtube.com/watch?v=4BPFHTVMmbQ

Shashank Yadav joins this episode of AI Supercycle to discuss how AI trading agents are coming for hedge funds, how Fraction AI is building that infrastructure, and more. Shashank Yadav is Co-Founder of Fraction AI, ex-Goldman Sachs AI researcher.The Rollup is where the leaders of digital assets and finance converge.Timestamps:00:00 Intro00:25 Shashank's Background01:32 Goldman Sachs AI Role03:35 Risk Over Returns04:19 Perps: Biggest Driver05:35 How Index Works07:04 Will AI Push Back?09:07 Why Perps & Hyperliquid10:46 Goldman Advisor Today11:21 Index Is Live11:57 25,000 Strategies Run13:38 Best Strategy Revealed14:51 Trade Less, Win More16:47 Prediction Markets Next18:15 Market Structure Future19:24 The YouTube Analogy21:22 Agent Marketplace Coming22:32 AI Security Concerns23:47 No Wallet Access25:02 How To Get StartedWebsite: https://therollup.co/Spotify: https://open.spotify.com/show/1P6ZeYd...Podcast: https://therollup.co/category/podcastFollow us on X: https://www.x.com/therollupcoFollow Rob on X: https://x.com/robbieklagesFollow Andy on X: https://x.com/andyyyJoin our TG group: https://t.me/+TsM1CRpWFgk1NGZhThe Rollup Disclosures: https://goodidea.ventures

https://novacut.ai/     Shashank and Mark break down a packed few weeks in AI: new open-source and local models, MCP and tool   use, Chinese labs closing the frontier-model gap, Google's full-stack advantage, and the exploding cost   of data-center buildouts.   They debate whether AI spending keeps compounding as models get cheaper and demand rises, or whether   smaller, local, good-enough models eventually puncture today's valuations.

In this episode, recorded across two continents with   Mark in Fukuoka, Japan and Shashank by the Ganges River in   Rishikesh, India, the hosts dive into the rapidly evolving AI   landscape. They explore how ChatGPT has reached mass adoption even   among yoga practitioners and Ayurvedic doctors in India, discuss   the newly released Gemma 4 and its surprising quality as a local   model, debate the rumors around Anthropic's powerful Mythos model,   and examine the recent Axios npm supply chain attack. Most notably,    Mark shares his experience building a largely autonomous software   development workflow using AI coding agents and Playwright MCP —   burning through $350/month in AI subscriptions but achieving the   output of a 50-person engineering team. They discuss the future of   AI agent-driven companies and why human taste still matters in   product design.

Explore how AI is reshaping the consulting landscape in this episode of Tech-Driven Business. Mustansir Saifuddin sits down with Shashank Paritala for a candid, real-world conversation on how AI is transforming the economics of consulting—especially in the data and analytics space. From shifting skillsets to accelerating delivery timelines, this episode breaks down what's changing, what still matters, and where firms can truly differentiate. If you're leading or supporting digital transformation, this is a must-listen. Shashank shares perspective on what's becoming commoditized—like code generation and refactoring—and what's increasing in value, including architecture, business context, and the ability to reduce ambiguity upfront. The conversation also explores how AI is impacting project cycles, why strong requirements and design are more critical than ever, and the risks of rapidly building disconnected “point solutions” without a cohesive data and AI strategy. Tune in for practical insights on how consultants and organizations can adapt—by focusing less on selling hours and more on delivering outcomes, building reusable solutions, and leveraging AI to move faster with greater precision. Shashank Paritala has worked across the SAP data and analytics space for over a decade, including Accenture and Avvale, where he led the Data & Analytics practice. His background includes analytics strategy, enterprise data architecture and has been involved with SAP Datasphere since the early days - helping clients turn data into business outcomes. Connect with Us: LinkedIn: Shashank Paritala Mustansir Saifuddin Innovative Solution Partners Twitter / X: @Mmsaifuddin YouTube: Or learn more about Innovative Solution Partners and schedule a free consultation at www.isolutionpartners.com. Episode Transcript: [00:00:00] Mustansir Saifuddin: Welcome to Tech- Driven Business, brought to you by Innovative Solution Partners. I'm excited to have Shashank Paritala join me today to unpack how AI is shaping the consulting landscape, especially within data and analytics. We will explore how the economics of consulting are shifting, what skills are becoming more valuable, and how organizations can rethink their approach to architecture, delivery, and value creation as AI moves from a supporting tool to a core driver of how work gets done. [00:00:39] Hello, Shashank. How are you? [00:00:46] Shashank Paritala: Hey Mustansir, I'm doing well. [00:00:48] Mustansir Saifuddin: I'm excited to have you on our show. Today we will be talking about the role of AI. What is the effect of AI and how it is shaping up the whole IT consulting work [00:01:00] from a workforce perspective. I like to keep a little bit more focused on data and analytics . I know that is very near and dear to you and what you have been doing over the course of your career. [00:01:11] The whole idea is how do we get this, elephant in the room. A lot of questions coming up and the economics is changing in this space. Let me just start with the basics. How is AI changing the whole economics of consulting? [00:01:23] Shashank Paritala: Yeah, absolutely. I've run a data and an ML sort of practice focused around SAP, but also other things. Chat GPT came out a couple years ago. It started to arrive. I think people were feeding in snippets of code, getting out outputs. [00:01:38] In the past few months it's blown up. It's 10 X. I think people see that it's really arrived. It can really handle what would be major portions of work that we would sell as consultants in terms of hours and bags of hours and buckets of hours. It can do that stuff. That realization has clicked. Let's just dive in a little bit deeper into the data and analytics space, data warehouses have been around for a long time. Data lakes have started to appear on the scene, data lake houses and all of that. But I think a lot of customers are still in the space where they're looking to do data modernization. That used to be a huge part of the consulting work that a lot of consulting firms did. hey, you're on platform X and we're gonna move you to this newer platform Z and here's a couple hundred thousand dollars bill, et cetera. [00:02:28] That was a big part of the business and I think a lot of that work was refactoring old code rebuilding data models which honestly is the part that. Right now, the agents that are available, the tools that are available have become very capable of doing. It's very interesting. [00:02:47] There's two aspects to this work that is sold. number one, you go into the customer and say, how should you modernize? And there's a whole bunch of strategy and there's a whole bunch of really valuable stuff that you do for the customer. But really you're doing all that valuable stuff. [00:03:02] A large bucket of the work of just moving refactoring old code and migrating over data, et cetera. And that part is the one that's being impacted. So I think it's a pretty meaningful disruption. As somebody who's been on so many projects, who's been part of so many RFPs, many of them, not one. I can tell you that entire space is quite confusing now with AI just coming in and changing the game. [00:03:29] Mustansir Saifuddin: And I think that's interesting how you summed it up with saying that it's just how it was in the past versus what is happening in the past year or even just few months, things have been really accelerated in this space in a good way, right? But there are of course challenges and the whole navigation of how do you merge these two. [00:03:49] The human aspect of it, and then the whole AI component to the work, work that you're doing and how customers are looking at it from their perspective. [00:03:59] Let's [00:04:00] talk about the skills now. Consulting skills. There are some that are becoming more like commodity. There are still other skills which are highly sought after, and it does make a difference. How do you categorize them? What is your view on that? [00:04:18] Shashank Paritala: That's a really good way to put it. Some things are now commoditized or less valuable and some things are actually more valuable and more meaningful to customers. I think we can have both thoughts in our head, which is, I'm anxious about what's happening, but, oh boy, there's also an opportunity out there with what's happening and the tools that are coming out, and I'm in that space. Both thoughts live in my head every day. Let's just talk about some of the things that are commoditized. I write x and y sets of code when I'm given a spec and I deliver that code. I refactoring code or writing code from scratch even really given if you have a really strong specification and my job is to go write the code. I don't think that anyone's gonna deny that's become far less valuable. I think that's just easier to do with the tools that are out now. However. Getting that specification right from the customer has actually become really valuable. If you can deliver so fast now that you have these tools it's really important that you get to that customer and you get that spec or that you're rapidly prototyping and getting something in front of the customer and avoiding ambiguity and planning these sprints in a way that is very effective. You're able to wrap up a project that would've taken eight sprints in maybe four. a consultant using these tools for doing the right things, getting to that customer, figuring out what they want, helping them reduce ambiguity and then clicking the go button and getting that project going. So much more powerful. I think there's gonna be this give and take where different parts of the space get squeezed, but then other parts of it become more valuable and the people who can do that are gonna be valuable. Another one is architecture probably. [00:06:03] Mustansir Saifuddin: I think this is a good segue into architecture and all that because that's where the real value comes in when you are looking at these projects and how they get stood up and then get implemented. The whole nine yards, it all depends on overall set up and the design. [00:06:18] And of course, the architecture piece is one of the important component of this conversation. You mentioned, how do you shape up your projects, especially when you are looking at you mentioned, two things. One was if you're doing a sprint. In the past, if it was taking you eight sprints to do something, then the whole cycle is either slashed in half or [00:06:40] cut down to a more digestible chunk. But, it very well depends on how is that requirements gathered from the customer. And how is that requirements put into a design where anyone who is looking at it, if you're using agents are able to build the code you want. [00:06:58] Or your developers are taking the help of the AI tools available at their disposal. How do you take this conversation into into an architecture perspective? What's your take on that of an overall design? [00:07:12] Shashank Paritala: Right now, when you look at where a customer is, and think about an ideal consultant. This is somebody that knows your business and you know them, and they know you, and they know your business users and they know all these little things that if only you could put them all in writing, you could feed it to a model and perhaps it would do a great job. But the reality of it is that a consultant that really knows all of those, your stakeholders, what your business users want, those all become critical and also where you're trying to go, Hey, I'm trying to acquire to grow in the next decade. All of these pieces of context help you, say, this is probably the platform you wanna be on. This is probably how you wanna [00:08:00] structure your data warehouse data lakehouse or data lake and whatever. Here's the tools you want in play. Here's how you should be thinking about this. These are all important conversations that happen before any of the build phase starts. I would say that's probably the way you are an ideal consultant is you know so much about that customer that you're able to give that feedback. And also maybe you know that customer, but you also know that industry. All of that comes into play when, I guess we can just call it instinct and judgment business context, all of [00:08:35] those, super valueable before you even clicking the go button and building something. [00:08:42] Mustansir Saifuddin: I think it makes sense because especially, like you said, the whole laying the foundation is the key to having a good build, and the build is where the real value of AI is taking off and is helping speed up the implementation part. Which kind of gets us into this discussion, right? [00:08:58] When we talk about enterprise applications in this AI first, world, everybody's looking at AI and say, I got SAP, I got some other ERP system in my environment and I looking at having this AI enablement. How do you justify that? How do you deal with it? [00:09:15] Especially, let's bring it back to data and analytics. Maybe datasphere and some of these cloud, data warehouses. There are a lot of things that goes behind it. Especially when you're dealing with enterprise level data. [00:09:28] What happens in this AI first world? [00:09:33] Shashank Paritala: First off, I think part of what you're talking about is probably security and what's happening on that context, governance . Customers are realizing if you don't give AI tools to your employees, they will find a way to still use them. This is number one. I think there, that's probably the biggest reason that people need to get going on these tools and getting them deployed, and applications deployed. But I'll go broader, just around the implementation of solutions and what I've seen which part of it is like giving me a little bit of dejavu of, because I think it's being led. Fomo, et cetera. An example of how I'm seeing AI solutions be deployed is here's a bot that you can feed some input into. [00:10:20] We have a contract with open AI or whoever. so that's one kind of usage. And that's fine. And then when you think about applications being deployed with generative AI and intelligence in and you kind of use enterprise data, make these generative AI applications. [00:10:36] What I'm seeing is a lot of point solutions. Okay. I'm seeing things be built like we wanted a generative AI app for this specific thing and we're gonna get that deployed in two weeks or whatever . Actually, this is leading to some silos and things like this, which we have both seen in data all the time. So there's agents everywhere. There's agents in your SAP system and your Salesforce system and your X system, your Y system, and none of those agents really know what's going on with the other agents and your business users are feeding context back and forth. So I think that's a really incredibly important space for customers to think about and us as consultants to think about. What's going on here? Everyone's trying to build something with AI. I've never seen so much interest in my life. Being in data and analytics, getting the time of a C-Suite executive or so difficult, right? Because they're worried about other stuff. Now they're just on calls, two directors, VPs, everyone's sitting on call, fully engaged. [00:11:38] So I think people are trying to do things, and I think this is a moment of thinking, how can we build these systems so that you don't have these context silos, data silos, et cetera. Which is a conversation I've had with some customers, but other ones that moving faster and just building point solutions. [00:11:54] Mustansir Saifuddin: That's a great way to look at it. It has to be context driven and the context sometimes can be so narrow [00:12:00] that you forget about the larger impact of that. And I think that you hit on the head on with this one, like folks who are trying to run faster, which is what everybody is trying to do right now. [00:12:10] Do not forget that, hey, if you don't have the right context, or if you're not looking at the bigger picture, you may create a bunch of small monsters around you, and then you have no control on those agents and how everything is working together. Let's look from a different angle. [00:12:24] I know you worked with larger firms and more specialized SAP environments. From your perspective, what has most shaped your view of where consultants actually create value for clients? How do you do that going forward in this AI world? [00:12:41] Shashank Paritala: If I really think about consultants and oh my God, that went really great, versus any firm could have done this kind of work. I feel it's when you are able to just get rid of the ambiguity. And I think if there was a metric I could tie this to, and by the way, I'm not saying this as someone who's done it all right. I'm talking as somebody who's done it wrong and to have a scar tissue and all this stuff. It's the idea like how many change orders did you take to get to the finish line, right? I think that matters. And the reason it matters is because yes, it might be the customer, by the terms on the contract, did ask for a change that wasn't in the original contract. But the real question is why didn't they know to ask that when you were writing the original contract. [00:13:30] And obviously you're always gonna have minor changes across the board, in every project. I think that a lot of projects, specifically in the SAP space, but probably everywhere, but I'm just gonna talk about, these are arduous journeys. [00:13:46] There's so much ambiguity, you start with this blurry idea that's not the same in everyone's head. Then you are creating this image and it's getting clear only at the end of it. There's a lot of pain in that. So I think coming in and having really an authoritative voice of and helping the customer make these decisions before you click the go button. I probably think that's the most valuable, and honestly, it's been the times in my career where I said, ah, okay. I did something there. I threw a nugget of wisdom because I did it wrong over there and now I'm doing it right and I guided this customer in the right path. It's probably the highest value. [00:14:23] Mustansir Saifuddin: I think that's the real value add like you said. This is where the customers get the most value. Take out that unknowns upfront because you're not spending too much time in the build because now we have the capability to automate some of these build steps, and spend more time on the requirements and design [00:14:38] and then making sure that, change orders are minimized. That's the whole goal, right? Do it right the first time and keep on doing that. I know we are over our time. What is the one key takeaway that you want [00:14:50] to leave with our listeners? [00:14:54] Shashank Paritala: I think that at the moment it's probably a pretty scary, anxious slash exciting time. It's both at the same time. I think consultants, I think things are gonna change, right? I think we are probably the industry where we unfortunately sold hours. That's the thing that's being hit. [00:15:12] It's really a hard time in that context. However, I think the opportunity is huge. The workflows, the things you understand having been at so many customers can lead to creation of things that you build that are proprietary to you and you can deploy to help customers and customers will find value in it. A lot of consulting companies. If you really think about the modes that they have, it's really nothing, right? [00:15:37] It's either you're really large and you have a bench, which is a great mode or was a great mode, and then number two, you have a bunch of slideware that speaks about methodologies, which are just derived from a agile or whatever. Reality is now there's a real way to build things that are gonna be valuable to customers and have that be your thing, your mode, you go in [00:16:00] and you help a customer and you serve a customer. So I think as consultant, think about the things you're doing at customers and see what you can build, I'm just figuring it out myself right now. [00:16:09] Mustansir Saifuddin: I think we all are. I think and that's the key, right? How you keep on upskilling yourself, and keeping up with what is possible with automation. What is possible with generative ai. At the same time, how do we bring down the cycles, especially when you're doing implementations, and make it a little bit more robust and in a way, bulletproof. [00:16:32] So it's able to sustain changes in a way that you can still manage it, those change orders can be minimized, and at the end, the value is given to the customer. And they see what is possible and how quickly you can do those things. I think that, that was a great way to sum this conversation up. [00:16:51] I really appreciate your time. Thank you for coming on and look forward to seeing you again. [00:16:57] Thanks for listening to Tech- Driven Business, brought to you by Innovative Solution Partners. As AI continues to reshape consulting, the shift is clear. Value is moving away from ours and toward outcomes. Shashank's key takeaway? The opportunity is real for those willing to evolve. Focus on clarity, move faster with purpose and start building solutions that scale beyond a single project. [00:17:29] Because when AI is paired with the right strategy and insight, organizations can accelerate delivery, reduce friction, and create meaningful lasting value. We would love to hear from you. Continue the conversation by connecting with me on LinkedIn or X to learn more about Innovative Solution Partners. [00:17:50] And schedule a free consultation. Visit isolutionpartners.com and don't forget to subscribe to our YouTube channel so you never miss an episode. Details are in the show notes.

In this powerful episode of The Wellness Reset, Luke Coutinho sits down with Shashank Mehta, founder of The Whole Truth, to discuss transparency, ethics, and the hidden realities of the food industry.Shashank shares his personal journey with obesity, losing 40 kilograms twice, and how that struggle pushed him to study food science and build a brand based on honesty. He explains why many “healthy” foods contain hidden sugars, how preservatives extend shelf life, and why listing every ingredient with its percentage is essential for consumer trust.The conversation also covers influencer marketing ethics, rigorous testing for contaminants like heavy metals, pricing challenges of clean ingredients, and the future of honest nutrition — especially for children.If you want to understand what's really inside your food and how to make better choices, this episode is a must-watch.

*Originally released in September 2020In this episode, we cover:Working at Kroger DigitalFounding VNDLY and raising capitalUnderstanding the market and simplifying the messageAre you earning or buying revenue?Knowing your levers so you don't burn out of runwayLocation: Cincinnati, is that a disadvantage or an advantage?

Youtube Channel: https://www.youtube.com/@GenerativeAIMeetup Mark's Travel Vlog: https://www.youtube.com/@kumajourney11 Mark's Personal Youtube Channel: https://www.youtube.com/@markkuczmarski896 Attend a live event: https://genaimeetup.com/ Shashank Linked In: https://www.linkedin.com/in/shashu10/  Novacut: https://novacut.ai    Mark and Shashank break down the latest developments in AI from their travels in Fukuoka and Seychelles. They cover Gemini 3.1 Pro matching human performance on the ARC-AGI-1 benchmark at a fraction of the cost, the upcoming ARC-AGI-3 video game-style test, and why only three US companies (OpenAI, Anthropic, Google) seem to be pushing state-of-the-art right now while Meta and xAI deal with leadership shakeups. The conversation moves to OpenAI's GPT 5.3 Codex Spark model running on Cerebras hardware for lightning-fast inference, Abu Dhabi's M42 initiative sequencing 700,000+ genomes and centralizing health records for AI-driven healthcare, and the viral OpenClaw incident where an AI agent wrote a hit piece on a human open-source maintainer who rejected its pull request. They also discuss the Anthropic vs. Pentagon drama over autonomous weapons and mass surveillance restrictions, an ex-Google Maps PM who vibe-coded a Palantir-style intelligence dashboard in a weekend, and their hands-on experiences with Claude Code, Codex, Cursor, and MCP integrations. The episode wraps with thoughts on agent swarms, the human-in-the-loop problem for taste-driven tasks, and whether we're close to the first solo-founder billion-dollar company powered entirely by AI agents.

What does it actually take to pull carbon out of the air — and turn it into a scalable business? In this episode, we sit down with Shashank Samala, CEO & Founder of Heirloom Carbon, to unpack the reality of building one of the world's most ambitious direct air capture companies. We dive into commercializing DAC at scale, raising climate infrastructure capital, navigating policy and 45Q, and partnering with buyers like Microsoft, Stripe, and Frontier to bring first-of-a-kind projects to life.

In this episode, we move away from point particles to talk about fields. Shashank, Cole and Cormac start with a discussion of different kinds of fields in astrophysics. Then, Cole describes Lagrange points and why they can be useful for satellites and asteroids seeking a safe place to camp out (or lay siege). Cormac dives into the atmospheres of hot Jupiter exoplanets, where we get a glimpse of temperature and wind velocity fields on other planets. By the end, you'll certainly have a lot more field experience!    What's the (Lagrange) point? https://astrobites.org/2026/01/29/whats-the-lagrange-point/   The Fires Within: Investigating the Atmospheres of Inflated Hot Jupiters https://astrobites.org/2023/01/03/hot_interior_exoplanets/   Space sound:  https://www.esa.int/Applications/Observing_the_Earth/FutureEO/Swarm/The_scary_sound_of_Earth_s_magnetic_field

Shashank Bijapur, co-founder and CEO of Spotdraft, explores the transition from the archaic, manual world of legal practice to the high-velocity domain of B2B SaaS. In this episode, we strip away the jargon surrounding "LegalTech" to reveal how Spotdraft powers the invisible infrastructure of global commerce - from airport leases to ride-sharing agreements. Shashank provides a masterclass on finding product-market fit in the mid-market, the reality of AI's role in high-stakes legal workflows, and the strategic pivot from technical perfection to market-driven iteration.Key Takeaways1. The "Aha Moment": Identifying Stagnation in Essential Industries- Digital Lag: While photography (Adobe) and accounting (Intuit) underwent digital revolutions decades ago, legal innovation peaked in 1993 with Microsoft Word's "Track Changes."- The Opportunity Gap: Identifying ubiquitous, paper-heavy processes that remain manual despite technological advancements is the strongest signal for a SaaS disruption.- Democratic Software: The goal isn't just to replace a lawyer; it's to turn complex legal processes into software that is as accessible and intuitive as a consumer app.2. GTM Strategy: The Power of Mid-Market Focus- Avoid the "Gambler's Fallacy": Shashank emphasizes the importance of trashing unusable early products rather than doubling down on a failing idea.- Homogeneity Matters: The US is the primary target for Indian SaaS due to its massive, homogeneous market, which allows for a repeatable ecosystem and faster flywheels.- The Mid-Market Sweet Spot: Avoiding the high-churn "small business" trap and the "unobtainable enterprise" early on leads to a focused GTM where legal teams (the true buyer persona) have decision-making power.3. The Founder's Dilemma: Accuracy vs. Speed- Legal Training vs. Startup Reality: Lawyers are trained for 100% accuracy; founders must embrace "fail fast." Overcoming the urge to pursue a "perfect product" is essential to gathering user feedback.- Technical Maturity: In 2017, the promise of AI exceeded the technology's capability. Spotdraft pivoted to building robust workflows first, capturing the data needed to make today's LLM integrations effective.- The Talent Moat: When a founder lacks specific functional knowledge (like GTM or engineering), the solution is "talent density"—hiring highly motivated experts who believe in the mission.4. The Future of AI in High-Stakes Legal- The End of "Form Filling": UI is shifting from manual data entry to conversational interfaces where users describe an outcome, and the AI configures the workflow.- Context is King: General LLMs lack company-specific context. AI's value in SaaS comes from mapping global laws against a company's specific historical data and standards.- Humans in the Loop: AI will handle "grunt work" and pattern recognition, but $1M+ deals will still require a human handshake and strategic negotiation for at least the next decade.About Spotdraft:Spotdraft is an AI-driven, end-to-end contract automation platform designed to clear the "madness from quote to cash." It helps businesses of all sizes—from startups to giants like Uber and Airbnb—create, manage, and analyze contracts seamlessly.Chapters:00:10 - Introduction00:50 - Journey from Lawyer to SaaS CEO03:34 - The "Aha Moment" for LegalTech07:09 - Spotdraft's Hidden Role in Everyday Life11:34 - GTM Strategy: Building from India for the US18:24 - Balancing Legal Risk with Founder Speed22:56 - How LLMs are Changing Legal Workflows30:22 - Lightning Round: Lessons Learned & AI ToolsVisit our website - https://saassessions.com/Connect with me on LinkedIn - https://www.linkedin.com/in/sunilneurgaonkar/

  In our valentines' day special, Shashank, Cole, and Cormac explore the dating lives of stars and other compact objects by looking at the romantic couples of astrophysics: binary systems. Immediately ruining this theme, Shashank covers some particularly messy breakups (though these lovers are able to rebound and move on) while Cormac shows us how even stars' healthy relationships involve some give and take.   Astrobites:   What are Partial Tidal Disruption Events, and How Do We Find Them? https://astrobites.org/2025/08/04/partial-tdes-galactic-center/   Sharing is caring: how do binary stars actually transfer mass? https://astrobites.org/2025/07/14/binary-mass-transfer/   Space Sound: https://www.nasa.gov/missions/chandra/nasa-telescopes-tune-into-a-black-hole-prelude-fugue/

After a brief hiatus, Mark and Shashank dive into the whirlwind of AI developments from recent weeks. They explore Kimi 2.5's impressive open-source capabilities, Google's groundbreaking Project Genie world model, and AI solving previously unsolved mathematical problems. The conversation shifts to the Davos discussions between Demis Hassabis and Dario Amodei on AGI timelines, before taking a fascinating detour into space-based data centers. The episode culminates with an in-depth look at OpenClaw (formerly ClawdBot) and Moltbook—a Reddit-like social network for AI agents that's spawning everything from cryptocurrency to manifestos. The hosts grapple with both the exciting possibilities and unsettling implications of autonomous AI agents collaborating at scale.

It's been a travel-heavy hiatus—Mark's been living in Spain and Shashank's been bouncing across Asia (including a month in China)—but they're back to unpack a packed week of AI news. They start with the headline hardware story: the Groq (GROQ) deal/partnership dynamics and why ultra-fast inference is becoming the next battleground, plus how this could reshape access to cutting-edge serving across the ecosystem. From there, they pivot to NVIDIA's CES announcements and what “Vera Rubin” implies for data center upgrades, cost-per-token curves, and the messy real-world math of rolling hardware generations. Shashank then brings the future to life with on-the-ground stories from China: a Huawei “everything store” that feels like an Apple Store meets a luxury dealership, folding devices that look straight out of sci-fi, and a parade of robots—from coffee bots to delivery robots that can ride elevators and deliver to your hotel room. They also touch on companion-style consumer robots and why “cute” might be a serious product strategy. Finally, Mark announces the launch of Novacut, a long-form AI video editor built to turn hours of travel footage into a coherent vlog draft—plus export workflows for Premiere, DaVinci Resolve, and Final Cut. They close by talking about the 2026 shift from single model calls to “agentic” systems, including a fun (and slightly alarming) lesson from LLM outcome bias using poker hand reviews. Topics include: Groq inference, NVIDIA + CES, Vera Rubin GPUs, GPU depreciation math, China robotics, Huawei ecosystem, hotel delivery bots, companion robots, Novacut launch, Cursor vs agent workflows, and why agents still struggle with sparse feedback loops. Link mentioned: Novacut — https://novacut.ai

Apply to join us as a co-host! https://astrosoundbites.com/recruiting-2025 In today's extra-special seasonal episode, Cormac, Lucia and Shashank share some of their highly curated metrics inspired by Spotify wrapped to end our a[s]b year. Much like ourselves, this episode is a mixed bag - we hope you enjoy it! This also marks the start of our long-awaited Winter (or Summer, depending on your hemisphere) break - see you in a few weeks! Space sound: https://www.youtube.com/watch?v=RmsOmqf7Hso Bonus festive EWOCS JWST image released after we recorded: https://esawebb.org/images/potm2512a/

Apply to join us as a co-host! https://astrosoundbites.com/recruiting-2025   This week, Shashank, Cole, and Cormac dive into the many disks of the universe, from planet-forming disks to AGN and galactic structures. Cole explores a misbehaving protoplanetary disk that hints at chaotic early planet formation. Cormac follows by showing how external radiation can erode disks and hinder the birth of giant planets. We then zoom out to compare these turbulent young systems to the massive disks around galaxies and supermassive black holes, tying together why disks form across so many cosmic environments and the methods we use to explore them.   Astrobites: https://astrobites.org/2025/09/18/forming-misaligned-discs/ https://astrobites.org/2025/11/01/planet_formation_vs_stellar_uv_radiation/   ALMA images: https://www.almaobservatory.org/en/press-releases/alma-campaign-provides-unprecedented-views-of-the-birth-of-planets/attachment/20181212-andrews-et-al-all-disks/ Space Sound: https://www.youtube.com/watch?v=8__1mSFS7vQ

Youtube Channel: https://www.youtube.com/@GenerativeAIMeetup Mark's Travel Vlog: https://www.youtube.com/@kumajourney11 Mark's Personal Youtube Channel: https://www.youtube.com/@markkuczmarski896 Attend a live event: https://genaimeetup.com/ Shashank Linked In: https://www.linkedin.com/in/shashu10/    In this episode of the Generative AI Meetup Podcast, Mark (in Ohio) and Shashank (in India) finally sit down after a month of travel to unpack a very eventful stretch in AI. They dive into Google's new Gemini 3 Pro, its standout scores on Humanity's Last Exam and ARC-AGI, and why these reasoning benchmarks matter more than yet another near-perfect standardized test score. Mark also makes a public feature request to DeepMind: please increase Gemini's max output tokens. From there they get hands-on with the developer experience: Google's new Anti-Gravity coding IDE (and how it compares to Cursor) Using GPT-5.1 Codex High in Cursor's autonomous “plan mode” Why long context and long output windows are critical for deep research and book-length projects The conversation then shifts to the bigger picture: LLMs as therapists, sycophancy, safety, and the danger of AI always agreeing with you Mark's rant on robotics, humanoid robots, and a coming age of extreme abundance where robots handle most physical and intellectual work Why learning to code may become the mental equivalent of going to the gym—a “brain gym” in a world where AI can do most practical tasks They also cover the latest AI industry drama and milestones: Yann LeCun leaving Meta, what that might signal about Big Tech AI labs, and how godfathers like Hinton, LeCun, and Bengio see the road to AGI DeepMind's new game-playing agent and why world models in 3D environments matter for real-world robotics Genspark hitting unicorn status and what it means for “ChatGPT wrapper” startups Co-inventing a new term on air: a “narwhal” = a trillion-dollar private company If you're curious about where frontier models, coding agents, robotics, and AGI trajectories all intersect—plus some philosophical musing on jobs, meaning, and abundance—this episode is for you.

Episode 113: Black Holes? Here? It's more likely than you think.   In today's episode, Cole, Cormac, and Shashank celebrate our glorious return from hiatus by tackling an astronomical favorite: black holes. These guys are important to astronomers for a wide range of reasons, but what happens when you find a black hole somewhere weird? Like in another black hole's accretion disk? Or in your model of dark energy? Or in a Hot dog? Shashank covers a lot of similar-sounding acronyms for when we find black holes living inside (the accretion disks) of other black holes, while Cormac does his second ever Astrobite with a type of sausage in the title, establishing a worrying precedent. If you're interested in Science Communication, make sure you apply to Astrobites: https://astrobites.org/2025/10/31/apply-to-write-for-astrobites-2025/ And to cohost our show! https://astrosoundbites.com/recruiting-2025/   Questions?  astrosoundbites@gmail.com   Astrobites: https://astrobites.org/2025/10/28/the-black-hole-meet-up-emris-and-imris-in-the-same-agn-disk/ https://astrobites.org/2025/10/23/hide-hot-dog/   Space Sound: https://www.nasa.gov/universe/new-nasa-black-hole-sonifications-with-a-remix/

This week, Paul interviews Shashank who is the co-CEO of Nazranaa, the largest wholesaler and retailer of Indian garments in the U.S. In addition to running Nazranaa, Shashank is the executive producer of the YouTube series, Nazranaa Diaries, which highlights some of the store's best customers and has taken on a life of its own. Shashank discusses the challenges of growing and managing this business amidst extreme tariff unpredictability as well as developing a show around his brand.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Joining the pod today are Rob Lee of FPRI, Shashank Joshi of the Economist, and Tony Stark of the Breaking Beijing substack. We discuss… Whether Ukraine represents a revolution in military affairs and what lessons the war holds for other theaters Why roughly 80% of casualties in Ukraine are caused by UAVs, and the symbiotic relationship between artillery and drones, The limits of FPVs and UAVs, tactics to counter UAV attacks, and the role of unmanned ground vehicles, Institutional friction within the Ukrainian forces, How Chinese components and commercial drones from DJI are shaping the battlefield. Drone incidents over Europe, burden sharing, and the US policy climate. Outro music:  Leon Bridges and Khruangbin - Texas Sun, a song that made it onto a 2022 playlist a reporter made of songs they heard on the front in Ukraine (⁠https://open.spotify.com/playlist/72paG2c3VqKblZsZlsCBOx?si=ace9197c40c6440f⁠) Learn more about your ad choices. Visit megaphone.fm/adchoices

Joining the pod today are Rob Lee of FPRI, Shashank Joshi of the Economist, and Tony Stark of the Breaking Beijing substack. We discuss… Whether Ukraine represents a revolution in military affairs and what lessons the war holds for other theaters Why roughly 80% of casualties in Ukraine are caused by UAVs, and the symbiotic relationship between artillery and drones, The limits of FPVs and UAVs, tactics to counter UAV attacks, and the role of unmanned ground vehicles, Institutional friction within the Ukrainian forces, How Chinese components and commercial drones from DJI are shaping the battlefield. Drone incidents over Europe, burden sharing, and the US policy climate. Outro music:  Leon Bridges and Khruangbin - Texas Sun, a song that made it onto a 2022 playlist a reporter made of songs they heard on the front in Ukraine (⁠https://open.spotify.com/playlist/72paG2c3VqKblZsZlsCBOx?si=ace9197c40c6440f⁠) Learn more about your ad choices. Visit megaphone.fm/adchoices

Joining the pod today are Rob Lee of FPRI, Shashank Joshi of the Economist, and Tony Stark of the Breaking Beijing substack. We discuss… Whether Ukraine represents a revolution in military affairs and what lessons the war holds for other theaters Why roughly 80% of casualties in Ukraine are caused by UAVs, and the symbiotic relationship between artillery and drones, The limits of FPVs and UAVs, tactics to counter UAV attacks, and the role of unmanned ground vehicles, Institutional friction within the Ukrainian forces, How Chinese components and commercial drones from DJI are shaping the battlefield. Drone incidents over Europe, burden sharing, and the US policy climate. Outro music:  Leon Bridges and Khruangbin - Texas Sun, a song that made it onto a 2022 playlist a reporter made of songs they heard on the front in Ukraine (https://open.spotify.com/playlist/72paG2c3VqKblZsZlsCBOx?si=ace9197c40c6440f) Learn more about your ad choices. Visit megaphone.fm/adchoices

Joining the pod today are Rob Lee of FPRI, Shashank Joshi of the Economist, and Tony Stark of the Breaking Beijing substack. We discuss… Whether Ukraine represents a revolution in military affairs and what lessons the war holds for other theaters Why roughly 80% of casualties in Ukraine are caused by UAVs, and the symbiotic relationship between artillery and drones, The limits of FPVs and UAVs, tactics to counter UAV attacks, and the role of unmanned ground vehicles, Institutional friction within the Ukrainian forces, How Chinese components and commercial drones from DJI are shaping the battlefield. Drone incidents over Europe, burden sharing, and the US policy climate. Outro music:  Leon Bridges and Khruangbin - Texas Sun, a song that made it onto a 2022 playlist a reporter made of songs they heard on the front in Ukraine (https://open.spotify.com/playlist/72paG2c3VqKblZsZlsCBOx?si=ace9197c40c6440f) Learn more about your ad choices. Visit megaphone.fm/adchoices

Is there anything real left on the internet? Neil deGrasse Tyson and co-hosts Chuck Nice and Gary O'Reilly explore deepfakes, scams, and cybercrime with the Director of Threat Research at Bitdefender, Bogdan Botezatu. ​​Scams are a trillion-dollar industry; keep your loved ones safe with Bitdefender: https://bitdefend.me/90-StarTalkNOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/deepfakes-and-the-war-on-truth-with-bogdan-botezatu/Thanks to our Patrons Bubbalotski, Oskar Yazan Mellemsether, Craig A, Andrew, Liagadd, William ROberts, Pratiksha, Corey Williams, Keith, anirao, matthew, Cody T, Janna Ladd, Jen Richardson, Elizaveta Nikitenko, James Quagliariello, LA Stritt, Rocco Ciccolini, Kyle Jones, Jeremy Jones, Micheal Fiebelkorn, Erik the Nerd, Debbie Gloom, Adam Tobias Lofton, Chad Stewart, Christy Bradford, David Jirel, e4e5Nf3, John Rost, cluckaizo, Diane Féve, Conny Vigström, Julian Farr, karl Lebeau, AnnElizabeth, p johnson, Jarvis, Charles Bouril, Kevin Salam, Alex Rzem, Joseph Strolin, Madelaine Bertelsen, noel jimenez, Arham Jain, Tim Manzer, Alex, Ray Weikal, Kevin O'Reilly, Mila Love, Mert Durak, Scrubbing Bubblez, Lili Rose, Ram Zaidenvorm, Sammy Aleksov, Carter Lampe, Tom Andrusyna, Raghvendra Singh Bais, ramenbrownie, cap kay, B Rhodes, Chrissi Vergoglini, Micheal Reilly, Mone, Brendan D., Mung, J Ram, Katie Holliday, Nico R, Riven, lanagoeh, Shashank, Bradley Andrews, Jeff Raimer, Angel velez, Sara, Timothy Criss, Katy Boyer, Jesse Hausner, Blue Cardinal, Benjamin Kedwards, Dave, Wen Wei LOKE, Micheal Sacher, Lucas, Ken Kuipers, Alex Marks, Amanda Morrison, Gary Ritter Jr, Bushmaster, thomas hennigan, Erin Flynn, Chad F, fro drick, Ben Speire, Sanjiv VIJ, Sam B, BriarPatch, and Mario Boutet for supporting us this week. Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of the Gen.AI Meetup Podcast, hosts Shashank and Mark dive into the latest AI developments that are reshaping how we create, code, and browse. They explore OpenAI's impressive Sora 2 video generation model and its built-in social network, compare it with Google's VO3, and discuss whether AI-generated content will become mainstream entertainment. The conversation shifts to the newest coding models, including Anthropic's Claude 4.5 Sonnet and Grok 4 Fast, examining their performance, pricing, and whether they're worth the cost for developers. Mark shares his experience vibe coding with Cursor and why faster, cheaper models might be better than the most powerful ones. The hosts also explore the maturing AI browser space, discussing Perplexity's Comet browser, Dia from the Browser Company, and Google's Gemini integration in Chrome. They debate whether these AI-native browsers can convince users to switch from Chrome and what features would actually make them indispensable. Finally, they tackle the big question: Is NVIDIA's $4.5 trillion valuation justified? They discuss the company's dominance in AI chips, the circular investment patterns in the industry, and whether specialized compute chips can compete with NVIDIA's end-to-end ecosystem. Timestamps: 0:00 - Intro & OpenAI's Sora 2 announcement 8:30 - Sora 2 vs Google VO3: The new video generation king 15:45 - Claude 4.5 Sonnet: Worth the premium price? 25:20 - Grok 4 Fast: Crazy cheap, crazy fast 35:15 - NVIDIA's dominance: Bubble or justified? 50:40 - AI browsers: Comet, Dia, and the future of browsing 1:02:15 - Ambient computing and what's next Mentioned Resources: OpenRouter - Multi-model API aggregator Cursor - AI-powered code editor Perplexity Comet - AI-native browser Upcoming event: Coding Agents Showcase - Jan 9th, Palo Alto https://partiful.com/e/joRDIOYMqpogKjNtvlHY  Don't forget to RSVP for our Coding Agents event featuring Zed, Augment Code, Code Flash, Factory AI, and more! Spots are limited and filling fast. Have questions? Drop them in the YouTube comments and we'll answer them in future episodes!

Ask a question on our Youtube Channel: https://www.youtube.com/@GenerativeAIMeetup Mark's Travel Vlog: https://www.youtube.com/@kumajourney11 Mark's Personal Youtube Channel: https://www.youtube.com/@markkuczmarski896 Attend a live event: https://genaimeetup.com/ Shashank Linked In: https://www.linkedin.com/in/shashu10/    In this episode of the Generative AI Meetup Podcast, hosts Shashank and Mark dive into the latest breakthroughs in AI and technology. Fresh from his adventures across North America, Mark joins Shashank to discuss OpenAI's groundbreaking GPT-4B advancements in biology and medicine, including AI-driven cell reprogramming for potential longevity breakthroughs. They also cover Meta's newly announced Ray-Ban smart glasses with heads-up displays and gesture controls, Apple's iPhone 17 AI features like real-time translation and transcription (and how they stack up against Google's Pixel phones), massive funding for Figure AI's humanoid robots, Tesla's Optimus updates, and Waymo's expansion to San Francisco International Airport. Plus, insights on the US-China robotics race, upcoming coding agents meetups during Tech Week, and the future of consumer AI hardware. Tune in for an engaging mix of news, analysis, and excitement about AI's real-world impact! Mark Linked in: https://www.linkedin.com/in/markkuczmarski/ 

In this episode of Life of a CISO, Dr. Eric Cole sits down with CEO and entrepreneur Shashank Shekhar to dive into the mindset of business leaders and how CISOs can better communicate with executives. From navigating the 2008 financial crisis to building successful companies in mortgage, AI, and fintech, Shashank shares powerful insights on what CEOs really value, how they view cybersecurity, and the mistakes most security leaders make when pitching solutions. If you want to learn how to put yourself in the CEO's shoes, align security with business growth, and earn a seat at the executive table—this episode is a must-listen.  

In this episode of the we welcome Shashank Nigam, who, together with Dirk Singer, has co-authored the Sustainability in the Air book series, two volumes that cover many of the most prominent entrepreneurs, companies and projects striving to make air travel cleaner and more sustainable.Now, Shashank is no newcomer to the aviation industry. He is also the founder of Simpliflying, a firm that has been providing advice in marketing and sustainability to airlines and airports for quite a few years, and also runs the Sustainability in the Air podcast.So, in a way, this is a bit of a special episode because you get not just one, but two sustainable aviation podcasters on the show!With Shashank we talk about the second volume of Sustainability in the Air and what's new in this new book, which focuses on how the industry is moving from experimentation towards execution and how the different players in the ecosystem are learning to collaborate. Global sentiment towards sustainable aviation has swung a bit with the volatile global political and financial situation, but, as Shashank says, sustainability is a marathon rather than a sprint! We even had some birds singning in the background during the recording, quite apt for a podcast about sustainable air travel!

Ask a question on our Youtube Channel: https://www.youtube.com/@GenerativeAIMeetup Mark's Travel Vlog: https://www.youtube.com/@kumajourney11 Mark's Personal Youtube Channel: https://www.youtube.com/@markkuczmarski896 Attend a live event: https://genaimeetup.com/ Shashank Linked In: https://www.linkedin.com/in/shashu10/  Mark Linked in: https://www.linkedin.com/in/markkuczmarski/  In this episode of the Generative AI Meetup Podcast, hosts Shashank (a software engineer at Google Labs working on the AI vibe design tool Stitch) and Mark (a former Amazon engineer now building a stealth startup) dive into the world of "vibe coding"—a revolutionary approach to programming inspired by AI researcher Andrei Karpathy. Vibe coding lets you focus on the big picture and product vision while letting large language models (LLMs) handle the nitty-gritty details, melting away traditional coding hurdles. Shashank walks through his weekend project, Convo (convochat.io), an AI-powered app that analyzes exported chat backups from WhatsApp, Telegram, Facebook Messenger, or SMS. It delivers fun stats (like 11,000 messages sent to a friend over four years), conversation summaries, sentiment analysis, and even tips for better chats—all built with minimal manual coding. The duo shares practical tips for vibe coding success: brainstorming ideas with Claude, designing UIs in Stitch, building with tools like Cursor or Replit, using Git for checkpoints, picking popular frameworks (e.g., Tailwind CSS), writing tests, debugging with logs, optimizing SEO, and branding with AI-generated logos. They discuss pros (rapid prototyping, low costs—Shashank spent just $18), cons (scaling challenges, bug fixes), and best practices for beginners, including modularity, documentation, and refactoring. Whether you're a seasoned dev or a total newbie, this episode shows how AI tools can turn ideas into launched MVPs in days, not months. Tune in for inspiration, real-world examples, and motivation to vibe code your next project!

Episode 112: It's not fun to be in a YMC, eh? Apply to join us as a co-host! https://astrosoundbites.com/recruiting-2025 In today's episode, Cormac, Shashank and Lucia come together to crack open the craziness inside Young Massive (Stellar) Clusters - some of the most exciting neighbourhoods in our Universe. They're a very hot topic at the moment, and not just because of their intense radiation - they host the majority of massive stars, and ancient YMCs might be the ancestors of the globular clusters that orbit our own Milky Way today. Shashank shares a recipe for cooking up YMCs through a computational collision, and Lucia takes a peek at YMCs emerging from their dust-embedded embryonic environs. We round off with a casual discussion of whether simulationists are taking Wittgenstein's Tractatus Logico-Philosophicus a bit too literally and chat about our favourite star clusters. Astrobites: https://astrobites.org/2025/07/23/ymc_formation/ https://astrobites.org/2025/07/09/gmc-dispersal/

Shashank Sripada argues that no one can surpass Apple's (AAPL) "operational prowess and supply chains," though it's a different story for software. He considers the company's lack of GPUs a critical hinderance to growth as its peers advance in A.I. Shashank believes Apple needs to seek outside help to building out its A.I. software so it can focus on hardware. His top candidate: OpenAI.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

The only thing better than studying the largest compact objects in the universe is smashing them together. In this episode, Lucia, Shashank, and Cole cover binary black hole mergers and what these violent events can tell us about our universe! Lucia talks us through some mergers' specific spins and Cole forces Shashank to talk about cosmology again.  Astrobites: https://astrobites.org/2025/06/27/pisngap_gws_flexible_models/ https://astrobites.org/2025/07/17/lss-bbhgw-expansionrate/   Space Sound: https://science.nasa.gov/mission/hubble/multimedia/sonifications/

Youtube Channel: https://www.youtube.com/@GenerativeAIMeetup Mark's Travel Channel: https://www.youtube.com/@kumajourney11 Mark's Channel: https://www.youtube.com/@markkuczmarski896 Gen AI Meetup: https://genaimeetup.com/ Shashank Linked In: https://www.linkedin.com/in/shashu10/  Mark Linked in: https://www.linkedin.com/in/markkuczmarski/  Join hosts Shashank and Mark in this electrifying episode of the Gen.ai Meetup Podcast, where they unpack a whirlwind week of AI advancements reshaping the future of technology. From Anthropic's Claude 4.1—a subtle yet powerful upgrade boosting coding prowess and multi-file edits for enterprise dominance—to OpenAI's long-awaited open-source comeback with GPT-OSS models (a beefy 120B parameter beast and a tiny laptop-friendly version rivaling proprietary giants), the duo dives into benchmarks, real-world applications, and how tools like Ollama make deployment a breeze. They explore Gemini's DeepThink, a reasoning powerhouse solving Olympiad-level math puzzles through extended inference, and Google's groundbreaking “world model”—a seamless blend of video generation and game engine tech that lets you control characters in hyper-realistic, physics-aware simulations. Along the way, Shashank and Mark share candid insights on vibe coding pitfalls, side projects built with AI agents, OpenAI's staggering valuations, and the open-source ecosystem's role in driving innovation. Whether you're a developer wrestling with agentic workflows, an enterprise leader eyeing LLM integrations, or an AI enthusiast dreaming of interactive worlds, this episode delivers expert analysis, practical tips, and forward-thinking speculation. Tune in for a fun, far-flung chat (Mark's broadcasting from a Canadian road trip en route to the Arctic!) and discover why AI's evolution is accelerating faster than ever. Drop your questions in the comments—we'll tackle them next time! Timestamps: 00:00:00 - Introduction: Shashank welcomes listeners and introduces Mark, who's road-tripping in Canada to the Arctic Ocean. 00:03:50 - Episode Overview: A quick rundown of the week's major AI announcements. 00:07:44 - Claude 4.1 from Anthropic: Discussing the incremental improvements of Claude Opus 4.1, its coding strengths, and enterprise adoption. 00:16:32 - Claude's Enterprise Impact: Why Claude leads in enterprise LLMs and its role in tools like Cursor for vibe coding. 00:28:38 - Gemini's DeepThink Feature: Deep dive into Gemini's reasoning capabilities for complex math and problem-solving. 00:29:28 - OpenAI's GPT-OSS Release: OpenAI's open-source models (120B and 20B parameters), their performance, and community implications. 00:44:94 - OpenAI's Valuation Debate: Exploring OpenAI's $300B valuation and the strategic benefits of open-source releases. 00:45:18 - Google's World Model Announcement: Exploring the steerable 3D environments blending video generation and game engine tech. 00:50:32 - World Model Applications: Potential uses in robotics, self-driving, and synthetic data generation. 00:54:86 - Coding Agents and Side Projects: Shashank and Mark share experiences with vibe coding and AI-powered side projects. 00:58:74 - Amazon's Spec-Driven Development: Insights on Amazon's Kero tool and the importance of detailed software specifications. 00:58:94 - Ollama and Ollama Turbo: How Ollama simplifies model deployment and the new cloud-based Ollama Turbo service. 01:07:26 - Prompt Engineering Tips: Practical advice on crafting effective prompts and iterating with LLMs for better outputs. 01:11:50 - Closing and Call for Questions: Wrap-up and a call for listener questions in the YouTube comments. Subscribe and leave a comment with your questions for the next episode! #AI #GenAI #Claude4.1 #OpenAI #GPTOSS #GeminiDeepThink #WorldModels #Ollama #CodingAgents #TechPodcast

Apply to join us as a co-host! https://astrosoundbites.com/recruiting-2025   This week, Shashank, Cole and Cormac discuss a concept that has come up on many an ASB episode past: Bayesian statistics. They start by trying to wrap our heads around what a probability really means. Cole introduces us to a recent and attention-grabbing paper on a potential biosignature in the atmosphere of an exoplanet, with lots of statistics along the way. Then, Cormac brings up some counterpoints to this detection. They debate what it would take—statistically and scientifically—for a detection of biosignatures to cross the line from intriguing to compelling.   New Constraints on DMS and DMDS in the Atmosphere of K2-18 b from JWST MIRI https://iopscience.iop.org/article/10.3847/2041-8213/adc1c8   Are there Spectral Features in the MIRI/LRS Transmission Spectrum of K2-18b? https://arxiv.org/abs/2504.15916   Insufficient evidence for DMS and DMDS in the atmosphere of K2-18 b. From a joint analysis of JWST NIRISS, NIRSpec, and MIRI observations https://arxiv.org/abs/2505.13407   Space Sound: https://www.youtube.com/watch?v=hGdk49LRB14

What happens when a Harvard-trained corporate lawyer, tired of copying and pasting contract language, starts reading about self-driving cars? In Shashank Bijapur's case, it sparked the creation of SpotDraft, a contract lifecycle management company that just raised $54 million in Series B funding and that counts major companies such as Airbnb among its customers. In this episode of LawNext, host Bob Ambrogi sits down with Bijapur, CEO and cofounder of SpotDraft, to explore his journey from White & Case associate to legal tech entrepreneur. It all began with that pivotal New Year's Eve moment – working on due diligence while eating Chinese food and reading about Elon Musk's self-driving cars – that made him realize something fundamental: Cars were driving themselves but lawyers were still stuck copying and pasting contract language. The conversation traces SpotDraft's evolution from its original version as an AI redlining platform to becoming a comprehensive CLM solution. Bijapur shares the hard-won lessons of pivoting when their initial AI approach proved only as accurate as a coin toss, and how co-building with early customers who believed in their vision helped shape the product into what it is today. They also dive deep into how generative AI is transforming contract management, get a preview of SpotDraft's new AI assistant called Sidebar, launching to the public next month, and discuss practical implementation challenges based on insights from SpotDraft's recent survey on AI adoption in legal departments. Looking ahead, they discuss where the CLM market is heading in the age of generative AI. Throughout the discussion, Bijapur reflects on the entrepreneurial journey itself – learning to sell when trained to be demure, developing an appetite for risk after being taught to be risk-averse, and discovering that every startup milestone brings new challenges that require completely different approaches. It's a candid look at both the technical and human sides of building a legal tech company.  Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out.   Paradigm, home to the practice management platforms PracticePanther, Bill4Time, MerusCase and LollyLaw; the e-payments platform Headnote; and the legal accounting software TrustBooks. Briefpoint, eliminating routine discovery response and request drafting tasks so you can focus on drafting what matters (or just make it home for dinner). Paxton, Rapidly conduct research, accelerate drafting, and analyze documents with Paxton. What do you need to get done today?    If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.  

In this episode, I sit down with Shashank Dubey, Co-founder and Chief Revenue Officer at Tredence, to explore what makes Empowering Leadership a cornerstone of high-velocity growth. Tredence, a global leader in data science and AI consulting, is ranked No. 1,681 on the 2024 Inc. 5000 list, highlighting its consistent trajectory of success. We dive into how Empowering Leadership unfolds through granting teams autonomy, building a culture of continuous learning, and staying laser-focused on outcomes over activity. Shashank shares actionable strategies that empower leaders to cultivate freedom with accountability and drive innovation at scale. Tune in to uncover how Empowering Leadership fuels sustained impact and builds companies that thrive.

This week, Lucia, Cormac, and Shashank dive into the depth of the Mediterranean Sea to discover more about the most energetic neutrino measured to date, which had an energy of a whooping 120 PeV! They then pay a visit to the South Pole to discuss what the ICECUBE neutrino observatory can tell us about the proton fraction of cosmic rays at the highest energies.  Casting a wide (KM3)NeT for a record-breaking neutrino https://astrobites.org/2025/05/29/km3net-neutrino Kachow! Three high energy neutrinos speed through IceCube https://astrobites.org/2025/05/31/template-post-33 Space Sound: https://youtu.be/VKvuohsicZs (Particle of Doubt by David Ibbett) Gammapy Song: https://gammapy.org/gammapy_song.mp3 (Gammapy Python package: https://gammapy.org) 

The more things change, the more they, uh, change. This episode Cole, Shashank, and Cormac cover the exciting events that change what we see on the night sky. Ancient astronomers tracked the motions of the planets and the arrival of “guest stars” (supernovae), and nowadays we're lucky enough to see some really wild and energetic events. Cormac gives us a view into what happens when a star punches through a black hole's accretion disc, Shashank shows us a particularly persnickety pulsar, and Cole gets his twenty minute monologue on modern classical music cut for time.    Astrobites: This Pulsar Has Mood Swings https://astrobites.org/2025/05/21/this-pulsar-has-mood-swings/   X-treme X-rays in an X-tra young system https://astrobites.org/2025/04/16/x-treme-x-rays-in-an-x-tra-young-system/   Space Sound: https://www.youtube.com/watch?v=Q2_3RgX-RIY&list=PPSV   Gif of Sagittarius A* we mentioned: https://www.youtube.com/watch?v=B0QRpid5_QU

https://rtrvr.ai/ Join hosts Shashank from Google AI Labs and Mark (currently on hiatus from Amazon) as they interview Arjun and Pavani, the founders of Retriever AI. This episode explores how Retriever's innovative browser extension brings agentic LLM capabilities directly to your desktop browser, offering unique advantages over cloud-based alternatives. Learn how Retriever can automate repetitive tasks, extract data across multiple websites, and interact with your personal accounts while maintaining security and privacy. The founders share their journey from big tech to startup life, demonstrate real-world use cases, and reveal their exciting vision for a federated network of browser agents that could revolutionize how we interact with the web.

In this webinar, the CardioNerds collaborated with the Cardiogenic Shock Working Group (CSWG) to discuss LV unloading and the updated AMI guidelines, which upgraded transvalvular flow pumps to a Class 2A recommendation in AMI shock. Dr. Rachel Goodman and Dr. Gurleen Kaur from CardioNerds were joined by Dr. Navin Kapur (Tufts Medical Center), Dr. Shashank Sinha (INOVA Fairfax Hospital), and Dr. Rachna Kataria (Brown University) from the CSWG. Together, they explore a case of an older woman who presented with inferior STEMI and was found to have complete occlusion of an anomalous single coronary artery originating from the right coronary cusp and supplying the entire left ventricle. She was treated with DES to the anomalous RCA. Her course was complicated by AMI shock with re-occlusion of the DES, which was treated with thrombectomy and balloon angioplasty. An IABP was placed. After transfer to a tertiary care center, a pulmonary artery catheter revealed a CI of 0.96. With worsening shock, rising lactate, and end organ dysfunction, the team proceeded with VA-ECMO and Impella CP for LV unloading. Her lactate subsequently normalized. Produced by CardioNerds in collaboration with the Cardiogenic Shock Working Group. CardioNerds Cardiac Critical Care PageCardioNerds Episode PageCardioNerds AcademyCardionerds Healy Honor Roll CardioNerds Journal ClubSubscribe to The Heartbeat Newsletter!Check out CardioNerds SWAG!Become a CardioNerds Patron!

Shoot, someone made the mistake of letting Cole pick the episode topic. In this episode, Cole, Cormac, and Shashank talk about the big boy on cosmology campus: Lambda CDM. This model has gotten a bit too big for its britches we think: what are the things about the universe that this model can't explain? Shashank gives us a tour through the dark matter hearts of galaxies which don't match up with cosmological predictions and Cormac shows us how 1500 (ish? We're not clear on this one.) supernovae could hint at a fundamental flaw in Lambda CDM.   Astrobites: Testing cosmology with the DES 5-year supernovae dataset: https://astrobites.org/2024/03/22/template-post-21/   Digging into the Core: Dark Matter and Dwarf Galaxies https://astrobites.org/2015/07/14/digging-into-the-core-dark-matter-and-dwarf-galaxies/   Space Sound: Listen to the hum of NANOGrav's gravitational wave background https://www.youtube.com/watch?v=nGO0wQK9ns4

We're back with another Meraki Unboxed episode where we unpack Cisco Meraki MV solutions and their role in blending physical security with IT networks. We'll chat about how cloud-managed security and AI are making workspaces safe and introduce you to the new MV53X bullet and MV84X multi-imager cameras. Plus, find out how our new Cross-Camera Tracking feature is revolutionizing surveillance without using facial recognition. And sprinkled throughout the discussion are deployment strategies, industry use cases, and the scoop on upcoming physical security events. Listen now!Products MV53X PDP MV84X Datasheet (coming April 2025)  Other Activations Build Physical Security Superpowers with Smart Bullet Cameras and Multi-Imagers Blog Meraki MV ISC West InvitationUpcoming April 10 WebinarHostTanner Yehlik, Technical Marketing Engineer, Cisco MerakiGuestsShashank Nalla is Product Manager of the Cisco Meraki smart camera portfolio, where he drives the development of cloud-managed AI-enabled smart camera solutions. With expertise in product strategy, hardware development, and cross-functional collaboration, he delivers innovative products that streamline modern physical security solutions. Prior to Meraki, Shashank worked at Osram, where he contributed to the development of advanced lighting and sensor products. His experience spans multiple industries, equipping him with a deep understanding of technology and customer needs to deliver impactful solutions.George Bentinck is Vice President of Product Management – IoT and Edge Intelligence at Cisco Meraki. He leads the strategic direction and growth of AI-enabled products, including MV smart cameras and MT smart sensors. Since joining Cisco through the 2012 Meraki acquisition, George has been instrumental in developing new product categories and expanding into new markets.      With a background in sales engineering at Avaya and Nortel, George holds a Bachelor's degree in internet engineering from the University of Exeter. He lives in San Francisco and enjoys designing sensor systems for optimizing race car performance in his spare time. 

The crypto world is rife with smart contracts that have been outsmarted by attackers, with consequences in the millions of dollars (and more!). Shashank shares his research into scanning contracts for flaws, how the classes of contract flaws have changed in the last few years, and how optimistic we can be about the future of this space. Segment Resources: https://scs.owasp.org https://scs.owasp.org/sctop10/ https://solidityscan.com/web3hackhub https://www.web3isgoinggreat.com Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-322

Note: This episode was recorded Wednesday February 26th, two days before Zelenskyy's press conference with J.D. Vance and Trump in the White House. Shashank Joshi (Defence Editor at The Economist) and Michael Horowitz (Biden's Deputy Assistant Secretary of Defense for Force Development and Emerging Capabilities, now back at Penn) come on the show to discuss: Ukraine's Chances on the Battlefield: We revisit J.D. Vance's tweet war with Shashank where he claims Ukraine is fated to lose, highlighting how war is nonlinear and dependent on political cohesion, economic strength, and defense industrial capacity beyond just manpower. Trump's Pivot to Putin: We try to think through what Trump is doing with Ukraine and Russia at the strategic level and what the long term and second order consequences are. AI and the Future of Warfare: We discuss of how AGI would transform warfare, with Horowitz suggesting progress will be incremental rather than revolutionary, emphasizing government adoption challenges over 0 to 1 technical breakthroughs. "Precise Mass" in Combat: Ukrainian forces have demonstrated how AI-guided drones achieving 80%+ hit rates have changed battlefield dynamics, introducing the concept of "precise mass" - lower-cost precision systems deployed at scale across domains including air, land, and sea. See Mike's Foreign Affairs piece on the topic here: https://www.foreignaffairs.com/world/battles-precise-mass-technology-war-horowitz Defense Innovation Challenges: Western bureaucratic processes severely impede military innovation, with Horowitz noting that reprogramming just 0.05% of the defense budget required over 40 congressional briefings, contrasting with Ukraine's wartime innovation speed and calling for acquisition reform. Recommended Books: Under the Nuclear Shadow by Fiona Cunningham Army of None by Paul Scharre Billion Dollar Spy by David Hoffman Outtro Music: Santigold, You'll Find a Way: https://www.youtube.com/watch?v=IodbPh7RkBw Vampire Weekend, Walcott: https://open.spotify.com/track/0BZY839qKXibapu4S0GYE2?si=7ecc773a95ee4d62 Learn more about your ad choices. Visit megaphone.fm/adchoices

Shashank Saxena of Sierra Ventures joins Nick to discuss How AI Transforms Services into Software and Revolutionizes Enterprise SaaS. In this episode we cover: Vendor Management System Vinley The Future of Work and AI The Role of AI in Enterprise Adoption Regulation and AI Adoption Characteristics of Successful Founders Guest Links: Shashank's LinkedIn Company's LinkedIn Company's Website Company's Twitter The host of The Full Ratchet is Nick Moran of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. Want to keep up to date with The Full Ratchet? Follow us on social. You can learn more about New Stack Ventures by visiting our LinkedIn and Twitter. Are you a founder looking for your next investor? Visit our free tool VC-Rank and we'll send a list of potential investors right to your inbox!