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Arnab Banerjee | Managing Director & CEO,CEAT Mr. Arnab Banerjee is the Chief Operating Officer at CEAT Limited. He has a total of over 30 years of experience, during which he has worked at CEAT, Marico, and Berger Paints. Arnab is an alumnus of the Harvard Business School, IIM Kolkata, and IIT Kharagpur. He joined CEAT in the year 2005 as Vice President, Sales and Marketing. Under his leadership, CEAT has seen innovations in marketing initiatives, Sales and distribution strategies, manufacturing flexibility, and seamless Supply Chain processes over the last 15 years. Everything about customers is his passion. He also takes an interest in numismatics, photography, high-altitude trekking, and long-distance running.
Arnab Deka lives in Vancouver and loves the Pacific Northwest. He was never formally educated in computer science or software engineering - in fact, while he was studying civil engineering, he fell in love with building things and eventually, building software. Outside of tech, he is a family man and loves to sup with them and his dog. He also enjoys astronomy, and is known to attend a star party or 2, with his telescope in hand.Arnab took a sabbatical from work, and on this journey, he realized that he liked deep work and interacting with customers directly - as opposed to high level strategy and planning. He met with his now co-founder in 2022, walking then Seattle lake front, and realized what podcast junkies they both were - and they decided to build something for it.This is the creation story of Metacast.SponsorsPaddle.comSema SoftwarePropelAuthLinkshttps://metacast.app/https://www.linkedin.com/in/or9ob/Our Sponsors:* Check out Kinsta: https://kinsta.com* Check out Vanta: https://vanta.com/CODESTORYSupport this podcast at — https://redcircle.com/code-story/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
With longer and more complex sales cycles, it's harder than ever to capture and keep a prospects attention — let alone win in highly saturated, competitive markets. So the question is, how can organizations navigate these extended sales cycles and outperform their competitors?In this fireside chat, Ross and Arnab Mishra, CEO of Xactly, discuss how to build a culture of excellence and win in competitive markets. Drawing on his extensive leadership experience, Arnab shares practical insights on defining the right behaviors, setting clear expectations, and maintaining an adaptive mindset.
16th vs 17th in the Europa League final. What has the world become?! Amogh, Mukesh, Nathan and Ronaq discuss all that plus Trent getting booed, Xabi Alonso going to Real Madrid and Amogh's inherent Arnab-ness. Fun times. Also, BIG NEWS! The Corner Flag is nominated for 'Best Sports Podcast' at the HT Podmasters Awards 2025! We need your support, so head on to the link below and VOTE FOR US! https://events.htmedia.in/podmasters2025 Let us know what your thoughts are in the comments, or write in to us on our social media: Instagram: https://www.instagram.com/cornerflagpod/ Twitter: https://www.twitter.com/cornerflagpod/ YouTube: https://www.youtube.com/@CornerFlagPod/ Subscribe to us on Spotify, Apple Podcasts or wherever you get your pods from and don't forget to give us a 5 star review! Learn more about your ad choices. Visit megaphone.fm/adchoices
Despite leading the world in AI innovation, there's no guarantee that America will rise to meet the challenge of AI infrastructure. Specifically, the key technological barrier for data center construction within the next 5 years is new power capacity. To discuss policy solutions, ChinaTalk interviewed Ben Della Rocca, who helped write the AI infrastructure executive order and formerly served as director for technology and national security on Biden's NSC, as well as Arnab Datta, director at IFP and managing director at Employ America, and Tim Fist, a director at IFP. Arnab and Tim just published a fantastic three-part series exploring the policy changes needed to ensure that AGI is invented in the USA and deployed through American data centers. In today's interview, we discuss… The need for new power generation driven by ballooning demand for compute, The impact of the January 2025 executive order on AI infrastructure, Which energy technologies can (and can't) power gigawatt-scale AI training facilities (and why Jordan is all-in on GEOTHERMAL), Challenges for financing moonshot green power ideas and the role of government action, The failure of the market to prioritize AI lab security, and what can be done to fend off threats from adversaries and non-state actors. Outtro music: Ghost Crew - 蝴蝶武士 (Butterfly Warriors) (Youtube link) Learn more about your ad choices. Visit megaphone.fm/adchoices
Despite leading the world in AI innovation, there's no guarantee that America will rise to meet the challenge of AI infrastructure. Specifically, the key technological barrier for data center construction within the next 5 years is new power capacity. To discuss policy solutions, ChinaTalk interviewed Ben Della Rocca, who helped write the AI infrastructure executive order and formerly served as director for technology and national security on Biden's NSC, as well as Arnab Datta, director at IFP and managing director at Employ America, and Tim Fist, a director at IFP. Arnab and Tim just published a fantastic three-part series exploring the policy changes needed to ensure that AGI is invented in the USA and deployed through American data centers. In today's interview, we discuss… The need for new power generation driven by ballooning demand for compute, The impact of the January 2025 executive order on AI infrastructure, Which energy technologies can (and can't) power gigawatt-scale AI training facilities (and why Jordan is all-in on GEOTHERMAL), Challenges for financing moonshot green power ideas and the role of government action, The failure of the market to prioritize AI lab security, and what can be done to fend off threats from adversaries and non-state actors. Outtro music: Ghost Crew - 蝴蝶武士 (Butterfly Warriors) (Youtube link) Learn more about your ad choices. Visit megaphone.fm/adchoices
Tim Fist, Director of Emerging Technology Policy at the Institute for Future Progress, and Arnab Datta, Director of Infrastructure Policy at IFP and Managing Director of Policy Implementation at Employ America, join Kevin Frazier, a Contributing Editor at Lawfare and adjunct professor at Delaware Law, to dive into the weeds of their thorough report on building America's AI infrastructure. The duo extensively studied the gulf between the stated goals of America's AI leaders and the practical hurdles to realizing those ambitious aims.Check out the entire report series here: Compute in AmericaTo receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.
In this episode of McKinsey on Building Products, host Rikki Singh and Arnab Bose, Chief Product Officer, Okta Platform, discuss the transformative impact of AI on cybersecurity and identity management. They explore the challenges of adopting AI in security solutions, the importance of a robust strategy for identity management, and how organizations can safely adopt AI agents.See www.mckinsey.com/privacy-policy for privacy information
On this week's episode, host Caryn Antonini is joined by Chef Imad Al Arnab,chef and owner of Imad's Syrian Kitchen in London. Imad is a Syrian chef,award-winning restaurateur, cookbook author, entrepreneur and refugee. Imadoperated three successful restaurants, several juice bars and cafes in Damascusbut was forced to flee his country and seek safety when his businesses weredestroyed by the war. He made his way to the United Kingdom via Lebanon,Turkey and a host of European countries sharing his cooking skills withhundreds up other refugees along the way. In 2015, Imad arrived in London,where he worked a number of jobs before being able to resume his passion forfood and cooking, ultimately opening Imad's Syrian Kitchen in 2020.For more information on our guest:Imad's Syrian Kitchenimadssyriankitchen.co.uk | ###Get great recipes from Caryn at https://carynantonini.com/recipes/
Better TLS implementations with Rust, fuzzing, and managing certs, appsec lessons from the everlasting transition to IPv6, LLMs for finding vulns (and whether fuzzing is better), and more! Also check out this presentation from BSides Knoxville that we talked about briefly, https://youtu.be/DLn7Noex_fc?feature=shared Generative AI has been the talk of the technology industry for the past 18+ months. Companies are seeing its value, so generative AI budgets are growing. With more and more AI agents expected in the coming years, it's essential that we are securing how consumers interact with generative AI agents and how developers build AI agents into their apps. This is where identity comes in. Shiven Ramji, President of Customer Identity Cloud at Okta, will dive into the importance of protecting the identity of AI agents and Okta's new security tools revealed at Oktane that address some of the largest issues consumers and businesses have with generative AI right now. Segment Resources: https://www.okta.com/oktane/ https://www.okta.com/press-room/press-releases/okta-helps-builders-easily-implement-auth-for-genai-apps-secure-how/ Today, there isn't an identity security standard for enterprise applications that ensures interoperability across all SaaS and IDPs. There also isn't an easy way for an app, resource, workload, API or any other enterprise technology to make itself discoverable, governable, support SSO and SCIM and continuous authentication. This lack of standardization is one of the biggest barriers to cybersecurity today. Arnab Bose, Chief Product Officer, Workforce Identity Cloud at Okta, joins Security Weekly's Mandy Logan to discuss the need for a new, comprehensive identity security standard for enterprise applications, and the work Okta is doing alongside other industry players to institute a framework for SaaS companies to enhance the end-to-end security of their products across every touchpoint of their technology stack. Segment Resources: https://www.okta.com/oktane/ https://www.okta.com/press-room/press-releases/okta-openid-foundation-tech-firms-tackle-todays-biggest-cybersecurity/ https://www.okta.com/press-room/press-releases/okta-is-reducing-the-risk-of-unmanaged-identities-social-engineering/ This segment is sponsored by Oktane, to view all of the CyberRisk TV coverage from Oktane visit https://securityweekly.com/oktane. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-305
Generative AI has been the talk of the technology industry for the past 18+ months. Companies are seeing its value, so generative AI budgets are growing. With more and more AI agents expected in the coming years, it's essential that we are securing how consumers interact with generative AI agents and how developers build AI agents into their apps. This is where identity comes in. Shiven Ramji, President of Customer Identity Cloud at Okta, will dive into the importance of protecting the identity of AI agents and Okta's new security tools revealed at Oktane that address some of the largest issues consumers and businesses have with generative AI right now. Segment Resources: https://www.okta.com/oktane/ https://www.okta.com/press-room/press-releases/okta-helps-builders-easily-implement-auth-for-genai-apps-secure-how/ Today, there isn't an identity security standard for enterprise applications that ensures interoperability across all SaaS and IDPs. There also isn't an easy way for an app, resource, workload, API or any other enterprise technology to make itself discoverable, governable, support SSO and SCIM and continuous authentication. This lack of standardization is one of the biggest barriers to cybersecurity today. Arnab Bose, Chief Product Officer, Workforce Identity Cloud at Okta, joins Security Weekly's Mandy Logan to discuss the need for a new, comprehensive identity security standard for enterprise applications, and the work Okta is doing alongside other industry players to institute a framework for SaaS companies to enhance the end-to-end security of their products across every touchpoint of their technology stack. Segment Resources: https://www.okta.com/oktane/ https://www.okta.com/press-room/press-releases/okta-openid-foundation-tech-firms-tackle-todays-biggest-cybersecurity/ https://www.okta.com/press-room/press-releases/okta-is-reducing-the-risk-of-unmanaged-identities-social-engineering/ This segment is sponsored by Oktane, to view all of the CyberRisk TV coverage from Oktane visit https://securityweekly.com/oktane. Show Notes: https://securityweekly.com/asw-305
Better TLS implementations with Rust, fuzzing, and managing certs, appsec lessons from the everlasting transition to IPv6, LLMs for finding vulns (and whether fuzzing is better), and more! Also check out this presentation from BSides Knoxville that we talked about briefly, https://youtu.be/DLn7Noex_fc?feature=shared Generative AI has been the talk of the technology industry for the past 18+ months. Companies are seeing its value, so generative AI budgets are growing. With more and more AI agents expected in the coming years, it's essential that we are securing how consumers interact with generative AI agents and how developers build AI agents into their apps. This is where identity comes in. Shiven Ramji, President of Customer Identity Cloud at Okta, will dive into the importance of protecting the identity of AI agents and Okta's new security tools revealed at Oktane that address some of the largest issues consumers and businesses have with generative AI right now. Segment Resources: https://www.okta.com/oktane/ https://www.okta.com/press-room/press-releases/okta-helps-builders-easily-implement-auth-for-genai-apps-secure-how/ Today, there isn't an identity security standard for enterprise applications that ensures interoperability across all SaaS and IDPs. There also isn't an easy way for an app, resource, workload, API or any other enterprise technology to make itself discoverable, governable, support SSO and SCIM and continuous authentication. This lack of standardization is one of the biggest barriers to cybersecurity today. Arnab Bose, Chief Product Officer, Workforce Identity Cloud at Okta, joins Security Weekly's Mandy Logan to discuss the need for a new, comprehensive identity security standard for enterprise applications, and the work Okta is doing alongside other industry players to institute a framework for SaaS companies to enhance the end-to-end security of their products across every touchpoint of their technology stack. Segment Resources: https://www.okta.com/oktane/ https://www.okta.com/press-room/press-releases/okta-openid-foundation-tech-firms-tackle-todays-biggest-cybersecurity/ https://www.okta.com/press-room/press-releases/okta-is-reducing-the-risk-of-unmanaged-identities-social-engineering/ This segment is sponsored by Oktane, to view all of the CyberRisk TV coverage from Oktane visit https://securityweekly.com/oktane. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-305
Generative AI has been the talk of the technology industry for the past 18+ months. Companies are seeing its value, so generative AI budgets are growing. With more and more AI agents expected in the coming years, it's essential that we are securing how consumers interact with generative AI agents and how developers build AI agents into their apps. This is where identity comes in. Shiven Ramji, President of Customer Identity Cloud at Okta, will dive into the importance of protecting the identity of AI agents and Okta's new security tools revealed at Oktane that address some of the largest issues consumers and businesses have with generative AI right now. Segment Resources: https://www.okta.com/oktane/ https://www.okta.com/press-room/press-releases/okta-helps-builders-easily-implement-auth-for-genai-apps-secure-how/ Today, there isn't an identity security standard for enterprise applications that ensures interoperability across all SaaS and IDPs. There also isn't an easy way for an app, resource, workload, API or any other enterprise technology to make itself discoverable, governable, support SSO and SCIM and continuous authentication. This lack of standardization is one of the biggest barriers to cybersecurity today. Arnab Bose, Chief Product Officer, Workforce Identity Cloud at Okta, joins Security Weekly's Mandy Logan to discuss the need for a new, comprehensive identity security standard for enterprise applications, and the work Okta is doing alongside other industry players to institute a framework for SaaS companies to enhance the end-to-end security of their products across every touchpoint of their technology stack. Segment Resources: https://www.okta.com/oktane/ https://www.okta.com/press-room/press-releases/okta-openid-foundation-tech-firms-tackle-todays-biggest-cybersecurity/ https://www.okta.com/press-room/press-releases/okta-is-reducing-the-risk-of-unmanaged-identities-social-engineering/ This segment is sponsored by Oktane, to view all of the CyberRisk TV coverage from Oktane visit https://securityweekly.com/oktane. Show Notes: https://securityweekly.com/asw-305
Could artificial intelligence be the secret ingredient to transforming sales performance management? Today, we're joined by Arnab Mishra, CEO of Xactly, to explore this intriguing possibility. Under Arnab's leadership, Xactly has pioneered the integration of generative AI into the sales process, offering organizations remarkable productivity enhancements and more streamlined operations. Arnab brings a rich background in software executive leadership and a deep understanding of SaaS product development, making him uniquely positioned to speak on the revolutionary impact of AI in sales. With his extensive experience, including roles at Xactly as SVP of Products and later COO, Arnab has been at the forefront of driving growth and innovation within the company. In this episode, we delve into the practicalities and potential of AI in redefining sales jobs and boosting overall sales productivity. Arnab will share insights on Xactly's AI Copilot, which utilizes the largest empirical sales performance dataset to enhance decision-making and productivity in sales organizations. We'll discuss the current barriers to AI adoption in sales, such as the steep learning curve and the rapid pace of sales cycles, which often hinder the effective implementation of new technologies. Moreover, Arnab will outline Xactly's strategies for overcoming these challenges, including micro-trainings embedded within products to ease the learning process and streamline adoption. We'll also touch on the broader implications of AI in sales, from automating routine tasks to transforming customer interactions through personalized experiences. As AI continues to evolve, its role in sales goes beyond merely increasing efficiency; it's about enhancing the quality of decisions and interactions. Join us as we uncover how Xactly's innovations are not just changing the game but also setting the stage for a future where AI and human ingenuity work hand in hand for superior sales performance. What do you think the future holds for AI in sales? After listening, share your thoughts and join the conversation below.
The Strategic Petroleum Reserve is the world's largest emergency supply of crude oil. In huge underground salt caverns along the Gulf of Mexico, the American federal government can store up to 714 million barrels, more than what the country uses in one month. Historically, the SPR has been tapped at the discretion of the president when natural disasters or crises cause the price of oil for consumers to spike.But when Russia invaded Ukraine and oil prices went haywire, Arnab Datta and Skanda Amarnath proposed a novel idea: what if the SPR wasn't just used as a stockpile of a commodity? If it used its ability to acquire oil strategically, could it support American industry and calm oil markets? Today, we talked to both of them.Timestamps:(00:00) Introduction(00:40) How do oil markets work?(02:25) How has the SPR been used historically?(07:42) Why oil investment kept dropping(16:53) Arnab and Skanda's big idea(20:55) Convincing the Biden administration(23:45) "Fixed-price forward contracts"(34:54) Isn't the SPR too small to shape oil markets?(42:10) The SPR pilot buy fails(51:09) A more aggressive approach(58:01) Keeping the political coalition together(01:02:26) The importance of elite media(01:09:43) Did the SPR "beat OPEC"?(01:12:52) Lessons for policy advocates This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.statecraft.pub
What does JD think about currency, tariffs, and industrial policy? How has the Strategic Patroleum Reserve evolved into new relevance with some fun new powers over the past few years, and how can America take lessons from this success and apply them to addressing critical minerals? And what secrets of policy entrepreneurship can Arnab teach me? To discuss we have on Arnab Datta of Employ America and Matt Klein of The Overshoot podcast. Plus we get some parent corner! Outtro music: Melody by Ash Island (matched my mood of wanting to scream things I don't understand) https://www.youtube.com/watch?v=yHWWGm0nxYk Learn more about your ad choices. Visit megaphone.fm/adchoices
It's been a year since we started working on Metacast. In this episode Arnab and Ilya reflect on the journey and compare working on a startup with the old corporate days.Get Metacast at metacast.app.Join the r/metacastapp subreddit.Segments[05:35] No going back to corporate[06:21] Annual reviews[13:43] Best year of Ilya's career[15:49] Frustrations with corporate[20:32] Anxiety and collaboration[26:41] Playing a long game[27:33] Letting go of old habits[34:13] Getting back into coding[37:22] What's new in the app[40:55] Book & podcast recommendationsShow notesLinksIlya's LinkedIn post with reflectionsPodcastsMetacast Ep. 24, part 1: Leaving jobs at Google and Amazon to start a podcast tech companyMetacast Ep. 24, part 2: Non-linear career paths, culture at Google vs. AmazonWhat Are Sperm Whales Saying? Researchers Find A Complex 'Alphabet' on the Short Wave podcastWas the 401(k) a Mistake? on The Daily podcastGoogle Eats Rocks + A Win for A.I. Interpretability + Safety Vibe Check on the Hard Fork podcastAdam Mosseri on the Tetragrammaton with Rick Rubin podcastBooksThe 4-Hour Workweek by Tim FerrissThree-Body Problem by Cixin LiuMusashi by Eiji YoshikawaThe Book of Five Rings by Miyamoto MusashiRevolutionary Road by Richard YatesThe Celestine Prophecy by James RedfieldBurn Book: A Tech Love Story by Kara SwisherMovies & TVShogun TV seriesRevolutionary RoadFord v FerrariGet in touch
Finding Peace is a new ambient and chill music podcast. Please check out this great session of music. Artist names and song titles are in order of play...RELIF-MY ANGEL, AWWAY-DREAMS, RELIF-DARK WILD, ALCHEMORPH-SOLARIS, BRUMAL-LETHE, THE MOON-POKUKRNNT ISLAND, VOIDSHADE-THE WAY, EXODYNAMIX-PULSE, NO SHIFT-I'M LOST, ARNYD-FLIGHT, ARNAB 888-IN MY BRAIN, TAEVI-RECOVERY, ARCHER OFFICIAL-ECHOES OF SOLITUDE, BXI-QUIET SOLUTION, ARC-RADIANCE, EVNLOST-SECONDS, EVERIE-DON'T KNOW HOW, KARINA DeLEAU-INSIDE YOU, OTHERSIDE-SHADOW, A NEW HOPE-LEFT BEHIND. End. Thanks for listening from Ken Steele.
Al-Minahu-l Miskiyyah المنح المسكية في الخوارق المبكية Di téere boo xamne Sëriñ Muhammadu-l Amiin Joob Dagana, moo ko bind, jagleel ko lenn ci kéemaane Sëriñ Tuubaa yi mu fekkee, ak yi mu jëlee ci nettali yu wér. Tekki ak jottali gi : Abdu Xaadir BA Majalis --- Send in a voice message: https://podcasters.spotify.com/pod/show/librairie-majalis/message
We're discussing the dilemma of positioning Metacast as both powerful and simple, break down the recent power struggle about 5% transparency of a UI element, and share our experience with the DUNS number that developers have to get to be in Apple App Store and Google Play Store.Get Metacast at metacast.app.Join the r/metacastapp subreddit.Segments[02:00] The positioning dilemma[10:15] Remaining features to launch the app and recent updates[13:30] Power struggle between Arnab and Ilya[17:40] DUNS (doh...)[23:08] Book and podcast recommendationsShow notesLinksD-U-N-S NumberPodcastsMicrosoft episode on AcquiredThe Point of ConvergenceThe Emerald: For the IntuitivesBooksThree-Body Problem by Cixin LiuGet in touch
Rahul wants to debate Modi. And Modi does not want to even give him the time of the day. What makes Rahul thinks that he has a better grip over issues when he could not even answer the easiest of questions posed by Arnab in 2014? Urban Naxals of the World screamed when Kejri was jailed. Now that he is out on parole to campaign, will it move the needle? What is the truth in Opposition's claim that BJP is not getting a majority? #RahulGandhi #NarendraModi #BJP #Congress #LokSabhaElection2024 #Election2024 #LokSabhaElections2024 #Elections2024 #OppositionAlliance #IndiAlliance #Kejriwal #AAP
Arnab Sinha is a Managing Director and Senior Partner in the Philadelphia office of Boston Consulting Group (BCG) and the North American Lead for Pricing Topic, as well as Global Lead for Revenue Management. In this episode, Arnab shares what's behind writing the book 'Game Changer' and discusses how the pricing strategy frameworks discussed inside the book works for the different industries like software, consumer packaged goods, pharmaceuticals, among others. Why you have to check out today's podcast: Discover how to create value across diverse industries and implement innovative pricing strategies that can revolutionize your approach Uncover the innovative pricing strategies used by pharmaceutical companies to market their products Find out the crucial role of creating value to effect strategic pricing "Figure out how much value you want to share, and how you communicate that, because that's what drives long-term value creation." - Arnab Sinha Topics Covered: 01:14 - How he got into pricing and why he never regretted choosing it over mechanical engineering 03:48 - What's behind writing the book 'Game Changer' 06:21 - Pivotal role of value creation in pricing strategy as gleaned from the book 08:03 - How his pricing strategy framework be used in software companies 11:40 - Significance of understanding customer needs and tailoring offerings accordingly for both acquisition and retention, with competition in mind 14:25 - The strategic pricing approach for consumer packaged goods companies 17:34 - Understanding the 'uniform game' in the consumer packaged goods and how it is influenced by factors such as brand strength and price gap elasticity in relation to competitors 20:08 - From a static view of pricing strategy in the CPG towards a dynamic approach utilizing AI and machine learning to model the best pricing strategy 22:00 - Innovative pricing strategy in pharmaceuticals 26:42 - Pricing based on where value is created 29:22 - Arnab's best pricing advice 30:03 - Discussing on how much value should one keep Key Takeaways: "I think the competitor's price is a critical input. And this is where we weave it in through something like your brand strength and your brand equity." - Arnab Sinha "And this is where I think our belief is, it is not just about the one-time value of one transaction, but you need to think about the lifetime value of all of the consumers you will be serving." - Arnab Sinha "...at the intersection of the cost and competitive game, you need to understand if you are creating value and make a choice of how much value you want to share regardless of what game you're playing. Because in the absence of value creation, there is no transaction." - Arnab Sinha People/Resources Mentioned: Jean-Manuel Izaret: https://impactpricing.com/podcast/563-game-changing-pricing-strategies-for-long-term-success-with-jean-manuel-izaret/ Game Changer: How Strategic Pricing Shapes Businesses, Markets, and Society by Jean-Manuel Izaret and Arnab Sinha: https://www.amazon.com/Game-Changer-Strategic-Pricing-Business/dp/1394190581 SAP: https://www.sap.com Oracle: https://www.oracle.com/ph/ Quickbooks: https://quickbooks.intuit.com Microsoft: https://www.microsoft.com Coke: https://www.coca-cola.com/ph/en Pepsi: https://www.pepsi.com Walmart: https://www.walmart.com Kroger: https://www.kroger.com/ Publix: https://www.publix.com Target: https://www.target.com Pfizer: https://www.pfizer.com Connect with Arnab Sinha: LinkedIn: https://www.linkedin.com/in/arnab-sinha Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com
Dor Fledel, Product Manager at Spera by Okta, and Arnab Bose, Chief Product Officer, Workforce Identity Cloud at Okta, join host Charlie Osborne in this episode of Identity Belongs To You, a Cybercrime Magazine podcast series brought to you by Okta. Together, they discuss Okta's acquisition of Spera Security, how the two companies are joining forces, and more. A trusted partner to businesses around the world, Okta powers identity for the internet by creating great user experiences, increasing customer engagement, improving employee productivity, and getting apps to market faster. To learn more about our sponsor, visit https://okta.com.
We had our first existential crisis when Apple announced that they're adding transcripts to Apple Podcasts. We panicked for a few minutes, regrouped, and decided to ship Metacast in open beta ASAP. On the episode, Arnab, Ilya and Jennie discuss the whole ordeal as it was happening. Get Metacast at metacast.app. Join the r/metacastapp subreddit. Segments [01:09] Launch stages at Google and Amazon [07:21] Our secret sauce [13:00] Why we decided to start talking about the app openly [17:22] Our first existential crisis [31:07] Re-evaluation of priorities [34:35] Building a community on Reddit [38:03] Books and podcasts recommendations Links Metacast Get Metacast for iOS and Android r/metacastapp subreddit Podcasts Interview with Christian Selig on Builders Gonna Build Getting Curious with Jonathan Van Ness The Game w/ Alex Hormozi Books Broken Code: Inside Facebook and the Fight to Expose Its Harmful Secrets by Jeff Horwitz The Wanderer by Sharon Creech The Elements of Style by William Strunk Jr. & E. B. White Learn Spanish with Paul Noble for Beginners by Paul Noble Next Steps in Spanish with Paul Noble for Intermediate Learners by Paul Noble Bone by Jeff Smith Sandman by Neil Gaiman Dog Man by Dav Pilkey We Are Legion (We Are Bob): Bobiverse, Book 1 by Dennis E. Taylor Eleanor & Park by Rainbow Rowell Shows Queer Eye on Netflix Get in touch
To close off 2023, Arnab and Ilya sat down for a lighthearted review of our favorite books, podcasts, products and experiences of 2023. Segments [01:51] A lesson in geology [03:16] Our top books of 2023 [23:46] Our favorite podcasts of 2023 [41:04] Our favorite products [49:34] Experiences of the year 2023 Show notes Books Arnab's The Ministry for the Future: A Novel by Kim Stanley Robinson Project Hail Mary: A Novel by Andy Weir Open: An Autobiography by Andre Agassi The Mom Test: How to talk to customers & learn if your business is a good idea when everyone is lying to you by Rob Fitzpatrick Bobiverse by Dennis E. Taylor By His Bootstraps by Robert Heinlein Seveneves by Neal Stephenson Ilya's The Three-body Problem trilogy by Cixin Liu Books about Apple and simplicity Jony Ive: The Genius Behind Apple's Greatest Products by Leander Kahney Build: An Unorthodox Guide to Making Things Worth Making by Tony Fadell Insanely Simple: The Obsession That Drives Apple's Success by Ken Segall Creative Selection: Inside Apple's Design Process During the Golden Age of Steve Jobs by Ken Kocienda Elon Musk by Walter Isaacson Becoming Supernatural: How Common People Are Doing the Uncommon by Dr Joe Dispenza Music, addiction, etc. It's So Easy: and other lies by Duff McKagan How To Be A Man (and other illusions) by Duff McKagan Slash by Slash and Anthony Bozza Podcasts Get the Metacast podcast app to open links or reach out to us at team@metacast.app to get early access if the app is not yet public by the time you're reading this. Ilya's Metacast: Behind the Scenes Mark Cuban: “And for that reason I'm out” on "The Really Good Podcast" Bobbi Althof interviews Drake (bootleg video) E235: The Man That Makes Millionaires: How To Turn $1,000 Into $100 Million!: Alex Hormozi on the "The Diary Of A CEO with Steven Bartlett" podcast Arnab's The Bing Who Loved Me + Elon Rewrites the Algorithm on the "Hard Fork" podcast Las cartas de papá on "Duolingo Spanish Podcast" Show 69 - Twilight of the Aesir & Show 70 - Twilight of the Aesir II on "Dan Carlin's Hardcore History" Products Metacast podcast app - the best podcast app. Ever. Period. Duolingo Learn Spanish with Paul Noble for Beginners – Complete Course: Spanish Made Easy with Your Personal Language Coach by Paul Noble What ayahuasca feels like: It opens the heart of darkness | Paul Rosolie and Lex Fridman Get in touch
The proton radiation center began operations in the James Outpatient Center on December 13. While there are a handful of cancer hospitals in the world that offer proton radiation treatment, the James proton radiation facility is the “most advanced proton radiation therapy in the world,” said Arnab Chakravarti, MD, chair of the James Department of Radiation Oncology. In this episode, Chakravarti explains the advantages of proton radiation. “With conventional radiation there is an entry point and exit point and all the normal tissue in-between receives radiation,” he said. “With proton radiation, one of the great benefits, is it minimizes the amount of normal tissue that is irradiated and succumbs to acute and later side effects of radiation … The goal is to eradicate the tumor and minimize the side effects in patients.” Initial studies have shown that proton radiation can reduce the number of what Chakravarti calls “radiation-induced malignancies.” Over the next few years, Chakravarti and his radiation oncology team will develop new ways to better utilize proton radiation therapy, including FLASH proton therapy. “FLASH refers to an ultra-high dose of proton radiation that can be 10,000 fold more potent than conventional radiation,” Chakravarti said. “So, treatments that currently take six to eight weeks, with the patient being treated five days a week, can be shortened to a single treatment lasting less than a tenth of a second.” Pre-clinical tests will be developed to “prove the efficacy and safety” of FLASH proton therapy. Another advance is the development of image-guided proton radiation therapy. “Cancer cells have microscopic extensions beyond what we can see on scans,” Chakravarti said. “We're developing an image-guidance platform that will target cancer cells where they sequester; they can run but they can't hide from this technology.” Another advance being developed is utilizing artificial intelligence (AI) to better and more precisely deliver the proton radiation. The radiation treatment will be specific to each James patient and “will result in the tumor getting the maximum proton radiation dose and minimizing it on the surrounding tissue,” Chakravarti said.
In its quest to combat inflation the Federal Reserve has seemingly done everything in its power to engineer a recession, which would throw millions of people out of work. Rather than question the Fed's actions, mainstream economists cheered them on, claiming that we need multiple months of high unemployment to bring inflation down. But do we really need to immiserate America's working class in order to save the economy? Today's guest, Arnab Datta, and his colleagues at Employ America are producing research that suggests we should instead be using macroeconomic policies to steer the economy to high employment and robust wage growth—which would reduce inequity, spur economic development, and expand the availability of good-paying jobs for all Americans. Arnab Datta serves as the Senior Counsel for Employ America, which is an organization focused on economic policy research and advocacy that prioritizes full employment, wage growth, and economic stability. Employ America seeks to influence economic policy discussions and shape the narrative around employment and economic well-being. Twitter: @ArnabDatta321, @employamerica Website: www.employamerica.org The Fed Is Trying To Engineer A Recession https://www.employamerica.org/blog/the-fed-is-trying In The Right Context, Full Employment Can Support A Pickup In Productivity https://www.employamerica.org/blog/in-the-right-context-full-employment-can-support-a-pickup-in-productivity Website: http://pitchforkeconomics.com Twitter: @PitchforkEcon Instagram: @pitchforkeconomics Nick's twitter: @NickHanauer
Arnab and Ilya discuss different approaches to building products from the angle of do-what-you-want platforms vs. opinionated products. Show notes Insanely Simple WeCrashed Super Pumped Blackberry Hitchhiker's Guide to the Galaxy Fall of Civilizations Hardcore History What Now? Podcast Industry News The Metallica Podcast
Arnab and Ilya reminisce about their first social media experiences with ICQ and Orkut, discuss fixing X-Twitter, read an eulogy for Threads, and strategize about becoming social media influencers. Segments: [03:12] First experiences with social media [10:52] Reddit [16:19] Threads [18:35] Misuse of Instagram as a text blogging platform [21:25] Can existing social networks be replaced? [23:47] The hard life of a social media influencer [25:28] X / Twitter [29:04] AI content creation [32:23] Value of being an influencer [37:10] Downvotes and dislikes [40:25] Engagement pods [42:07] LinkedIn Lunatics [43:43] Our social media strategy [54:05] Book and podcast recommendations
In the fast-paced world of SaaS, achieving revenue growth and maintaining happy customers can sometimes seem impossible. But fear not, because, in this episode of the SaaS Fuel, Jeff Mains is joined by Arnab Mishra, COO of Xactly – a SaaS provider of sales performance management and revenue intelligence solutions. Arnab shares insights on creating pipelines and forecasts with confidence and the importance of collaboration and alignment between sales, marketing, and finance teams. Discover the secret sauce to empowering your team, leveraging data, and fostering collaboration.Key Takeaways[00:02:43] - Empower, trust, and recognize for exceptional service[00:08:11] - Sales success requires both art and science[00:11:08] - Data can inform sales decisions[00:16:35] - Unique data set for AI[00:23:49] - AI can improve sales planning[00:26:08] - Collaboration is key in sales planning[00:31:36] - Simpler compensation plans are better[00:39:23] - Alignment and collaboration drive success[00:41:31] - Automating mundane tasks increases productivity[00:50:49] - Take a systems-level approach[00:52:18] - Implement an intelligent revenue platform earlyTweetable Quotes"It's another to have a team that is completely sold out to the mission, and they're engaged, they're driven, they're ready to tackle any mission doesn't even matter what it is." - 00:05:27 Jeff Mains"And so I think that's such a game changer, just to be able to ask a question and get back an answer that you can make a decision on right now." - 00:19:06 Jeff Mains"But what we do is we validate those biases or we negate those biases by saying, oh, the data says that it's something different." - 00:23:18 Arnab Mishra"Well, it's like the collaboration is the eternal balancing act, aligning sales teams objectives with the broader revenue goals of the organization." - 00:28:20 Jeff Mains"Our general view is that simpler compensation plans are better." - 00:31:36 Arnab Mishra"But the real value of that is that it frees people up to do the strategic value-added work that they wanna be doing." - 00:41:31 Arnab MishraSaaS Leadership LessonsBreak Down Silos. Silos between different departments can hinder collaboration and alignment. It is crucial to break down these silos and create a unified perspective by implementing a platform that allows all teams to access and analyze the same data. Embrace Data-Driven Decision Making. Data is a powerful tool that can guide decision-making and provide valuable insights. Encourage your teams to embrace data-driven approaches and leverage technology, such as AI and machine learning, to analyze and interpret data effectively. Simplify Compensation Plans. Complex compensation plans can confuse sales reps and hinder their performance. Aim for simplicity in your compensation plans, focusing on three to four key measures that align with the company's objectives. This clarity will enable sales reps to understand how they are rewarded and motivate them to achieve their targets.Augment Intuition with Data: While experience and intuition play a role in sales forecasting and pipeline management, augmenting them with data-driven insights can enhance accuracy. Use technology to capture and analyze customer interactions, deal health, and other relevant data points. Focus on Value-Added Work. By automating mundane tasks and streamlining processes, you can free up your teams to focus on value-added work. This not only improves efficiency but also allows individuals to contribute strategically to the...
Should engineers and product managers “stay in their lanes”? What big company habits should you keep vs unlearn when transitioning to working at a start-up? Could an ayahuasca retreat give you more clarity on your career goals? Ilya and Arnab join the show to share their journey quitting big tech to bootstrap a podcasting startup. Arnab and Ilya are the co-founders of Metacast. Before starting the company, Arnab was a Principal Engineer at AWS while Ilya was a Sr. Product Manager at Google and Principal PM at Amazon before that. While at Amazon, Arnab and Ilya worked together on various projects including AWS Chatbot, which they started from scratch and launched into a successful AWS service. Show Notes: Sign-up for the podcast app that they're launching soon: metacast.app Newsletter about their startup journey: https://www.metacastpodcast.com/ Stay in Touch: ✉️ Subscribe to our newsletter: https://softwaremisadventures.com
Jennie Buechner is a Senior Software Engineer and the first hire at Metacast. We discussed leaving Amazon to join an early stage startup and how we thought about equity compensation when we can't afford to pay a salary yet. Segments: [02:04] Jennie introduces herself [03:57] ChatGPT introduces Jennie, Ilya and Arnab [07:29] Explaining the number 42 [10:38] Leaving Amazon [20:46] Joining Metacast [28:08] Working for equity without a salary component [45:57] Living off savings [49:29] Jennie's role at Metacast ✉️ Subscribe to Metacast newsletter: https://www.metacastpodcast.com
Today's guest is Arunabh Dastidar. As an ex-asset owner and manager of projects worth over $5B, Arunabh Dastidar has first-hand experienced the flaws that hinder growth in the real estate industry. His mission is to revolutionize the future of rental management. Show summary: In this podcast episode, Arnab Naskar, discusses how his platform simplifies and accelerates data analysis in the real estate industry. He explains the streamlined integration process and emphasizes positive customer feedback. Arnab shares his background and how he got involved in real estate, highlighting the need for a solution to improve decision-making. Sam delves into Arnab's entrepreneurial journey, and Arun Doster discusses the incorporation of AI in real estate. They emphasize the importance of data-driven decision-making and storytelling. -------------------------------------------------------------- Intro [00:00:00] Revolutionizing the Future of Rental Management [00:00:42] Arnab Naskar's Background and Journey [00:01:09] Predictive Pricing and Decision Making in Real Estate [00:04:59] The power of language models with AI [00:12:57] Detecting ongoing issues and tenant satisfaction [00:14:17] Real Grow: Using external data for portfolio growth [00:21:12] The future of real estate decision-making [00:22:10] Getting in touch with the guest [00:22:33] Closing [00:23:05] -------------------------------------------------------------- Connect with Arunabh: Linkedin: https://www.linkedin.com/in/arunabhadastidar/ Web: https://realsage.com/ Connect with Sam: I love helping others place money outside of traditional investments that both diversify a strategy and provide solid predictable returns. Facebook: https://www.facebook.com/HowtoscaleCRE/ LinkedIn: https://www.linkedin.com/in/samwilsonhowtoscalecre/ Email me → sam@brickeninvestmentgroup.com SUBSCRIBE and LEAVE A RATING. Listen to How To Scale Commercial Real Estate Investing with Sam Wilson Apple Podcasts: https://podcasts.apple.com/us/podcast/how-to-scale-commercial-real-estate/id1539979234 Spotify: https://open.spotify.com/show/4m0NWYzSvznEIjRBFtCgEL?si=e10d8e039b99475f -------------------------------------------------------------- Want to read the full show notes of the episode? Check it out below: Arunabh Dastidar (00:00:00) - They can literally drag drop their CSV or Excel files to bring their internal data into the system. And then our AI actually maps those with and cleans it up to a greater extent so that it becomes immediately usable because as you mentioned, this is a daunting task of ingesting all that data. We have made it so simple and we are one of the fastest integration the industry has ever seen. And this is not what I am saying is what like our customers say. Intro (00:00:29) - Welcome to the How to scale commercial real estate show. Whether you are an active or passive investor, we'll teach you how to scale your real estate investing business into something big. Sam Wilson (00:00:42) - As an asset owner and manager of projects worth over $5 billion, Arun Doster has firsthand experience the flaws that hinder growth in the real estate industry. His mission is revolutionized the future of rental management. Arnab Welcome to the show. Arunabh Dastidar (00:00:58) - Thanks for having me. Sam Wilson (00:00:59) - Absolutely. The pleasure is mine. Arnab There are three questions I ask every guest who comes on the show in 90s or less. Sam Wilson (00:01:05) - Can you tell me where did you start? Where are you now and how did you get there? Arunabh Dastidar (00:01:09) - Oh that's amazing. Where did I start? I'm an engineer myself. I sold my first company when I was 25 and then travel 20 countries before ending up in real estate private equity world. And one evening I was taking a call on $130 million deal and my Excel was crashing. And that cuts gets you to where I'm at now. We are solving that problem of decision making across real estate by bringing AI and data models into the industry. So where we are heading towards is revolutionizing the way how real estate makes decisions using advanced data models and making it more efficient, productive and more accurate so that everyone of us can make more money. Sam Wilson (00:01:56) - I love it. I love it. I mean, those are those are high ideals, but I'd love to get into the weeds and really find out what that means. But means but before we get there, you sold your first company at the age of 25 that you just grow up in an entrepreneurial family that just said, hey, you know what? Go out and carve your own way. Sam Wilson (00:02:14) - How did that happen? Arunabh Dastidar (00:02:16) - Oh, that's that's interesting. I did not grow up. My my family was, you know, like very humble beginnings. We had mostly people working in sales. So I had the sales knack from the very beginning, but I did engineering and ended up in a very clear cross. So I started coding when I was 12, and by the time I was in engineering I was like, I know a lot about computers. Maybe I should select more build worlds. So I ended up doing civil engineering. So that's how the whole infrastructure and technology comes into play. And then at the very early age, I was involved in bigger projects with public private partnership the world has ever seen. Because of this, you need mix of technology and infrastructure and found a solution for hyperlocal deliveries for renovation materials across Asia. And then that was my first company, which I coded from scratch with a couple of other buddies. We we were in 22 different cities, huge operations, and then we went out racing and ended up getting acquired by one of the top companies. Arunabh Dastidar (00:03:26) - And then, you know, rest is history. Sam Wilson (00:03:28) - Wow. Wow. That's a lot of experience that you've wrapped up long before many of us even figure out who we want to be when we grow up, which I'm not sure I know the answer to that question. But, you know, I think we'll spend the rest of our life figuring that out. So you sold that company and then what did you do to how did you get involved in real estate when you said, hey, you know what, I think real estate is the next move. Arunabh Dastidar (00:03:52) - Yeah. So I was always interested in pre-development investments, walled off real estate. So, you know, during my voyage to like, travel around the world, Abed was like exploring what to do next. And I was drawn towards, you know, drawn towards learning more. And that's how I pursued my MBA. And that's where I specialized in real estate investments and ended up working with real estate private equity for a couple of years to handling around $1 billion of project assets in North America. Arunabh Dastidar (00:04:29) - And that's what like drawn me towards the new problem, which now we are solving about. Everyone talks about real estate moves slow. Nobody knows why. I'm going to tell you it is the decision making which makes it slow because there are so many different things you need to look at before you say a thumbs up or thumbs down to a deal or thumbs or thumbs down to a to a capital expenditure. And that's the process which we'll say is definitely helping to bridge the gap in. Sam Wilson (00:04:59) - Well, tell me tell me, what are some of those decisions that you feel like you've been able to accelerate the decision making process on? Arunabh Dastidar (00:05:08) - Yeah. So we have different data models. One of the most used data models of ours is predictive pricing. So before going to market, you have major asset classes which are prone to seasonality, market changes, neighborhood changes and things like that. You can bring your internal and external data sets on our platform and our platform can predict and prescribe how much rentals you can should charge in each of these neighborhoods preemptively and also can tell you three months from now you're going to see there's a high probability that you're going to see this week and see you should use this marketing channel versus this marketing channel to nail it. Arunabh Dastidar (00:05:49) - So those are a few of the use cases which are most used. Apart from that, we have use cases around how to reduce your expenditure or improve your tenant satisfaction. So we correlate data points on work orders then in satisfaction online ratings as well as your actual cost basis and give you predictions about if you change a in this building, this will improve your in your tenant satisfaction, which is some of the decisions asset managers are regularly making. And you can see that in a very nice looking dashboard and by which is associated with it. Sam Wilson (00:06:29) - This this year above my pay grade by a long shot here. So I'm going to attempt to ask intelligent questions and they'll probably come out as unintelligent ones along the way. But that's that's okay. I'm here to learn right along with our listeners today because this is truly fascinating to me, aggregating this data in a meaningful way, like acquiring like you were talking. Let's go back to predictive pricing to me, that just sounds like a daunting task where you're going, okay, you've got to get all the historical data. Sam Wilson (00:06:59) - You then have to collect even the hyperlocal data and then and then and then aggregate that and then synthesize it into some sort of meaningful output. How in the world are you doing that? Arunabh Dastidar (00:07:12) - Yeah. So thanks to our data plug partners, that's one of the major things which we have worked on. We partner with a variety of data providers within the platform. If you're already subscribed to some of them, you can bring that data through into the platform and do on demand analysis on that or the beauty of how what where we spend most time is making it so simple and no code for asset owners that they can literally drag drop their CSV or Excel files to bring their internal data into the system. And then our AI actually maps those with and cleans it up to a greater extent. So that it becomes immediately usable because as you mentioned, this is a daunting task of ingesting all that data. We have made it so simple and we are one of the fastest integration the industry has ever seen. And this is not what I am saying is what like our customers say. Sam Wilson (00:08:12) - That's really, really wild. So you guys partner with a whole bunch of others? I mean, let's face it, there's a million data sources out there. Exactly right. And so you obviously, you're not out there, you know, picking up the phone and calling all the local apartments and saying, okay, what's your rental rates? What's this and that? You're aggregating this from other data sources. But I think the key there is what you've said is that you're able to get that in, ingest it, and then have a meaningful output in mere seconds. How long did you work on this before you felt like you had had the template refined to where you could then take this to the public? Arunabh Dastidar (00:08:47) - It's it's a team, actually. We work with PhDs from some of the top universities across North America who have built these models with us for the last two years. We did a commercial launch last year and now we're being used by 300 plus buildings and now like have tons and tons of more interest in the models because the what it can do is just give superpowers to asset managers, because now they can do like ten x more work without spending that much of like grind and like legwork time. Sam Wilson (00:09:24) - Right? Yeah. They're not, like you said, you know, digging through an Excel model at 10:00 at night going, okay, did I, did I map these fields correctly for the output that I got? And I think that's correct. And then you sleep on on the next morning, you find out you made an error. Arunabh Dastidar (00:09:38) - Oh, yeah. Yes. Yeah. It used to happen to me so much. So many times the next morning. Oh, I missed that assumption. Sam Wilson (00:09:46) - Right, right, right. This assumption. I was off by a factor of two on this assumption. And that really made which I mean, I still find myself doing that on occasion. I'm like, okay, I'm going to sleep on this and come back tomorrow and see if this makes sense still. So yeah, that's really, really cool. Predictive pricing. Let's get let's get back to that a little bit. When you say that, are you are you talking about resale pricing? Are you talking about predictive pricing on what you should be charging on a per unit basis? Like what how many things wrap into predictive pricing? Arunabh Dastidar (00:10:18) - So predictably we can tell rental pricing. Arunabh Dastidar (00:10:21) - So how much you should charge for your corner unit in a particular neighborhood in the summer month which is coming up. Or you can also based on. So now there are two elements on predictive pricing. Of course, go to market. The second is renewals, which are very, very important, right? So if you're having a lease renewal coming up, you want to know the tenant satisfaction data, you want to know how many work orders they have released, and then you want to know what's their alternative to before proposing a price to for that renewal as well. Right? So our technology can actually bring these three data sets and can synthesize a price which they cannot like. They would have high probability to accept and not get you into a vacancy, which you have to gain market and spend money on. So that is what we do. We are building on models on resale as well. So it's something in our product pipeline. Currently we do more on asset management where you have to constantly deliver results on the bottom line of your assets, right? Sam Wilson (00:11:30) - No, I think that's cool. Sam Wilson (00:11:32) - So so if I'm just to recap what you said, you have the resale data, things like that. That's part of the in the in the pipeline for the predictive pricing side of things. Yeah, that's cool. I love that, man. This is really, really wild. I think the incorporating artificial intelligence into this, I mean, we've seen just the what even the the I'm going to call it simple, but it's not even what ChatGPT is doing right now. I mean, that's what most of us who aren't in the AI world, at least that's what I think of. I'm like, okay, chat GPT. I even used it last week, which I'm just astounded by because I was writing a newsletter and it was, you know, if anybody's written anything ever, you just hammer out a whole 100 different thoughts and like, yeah, because you don't want to stop the flow. And I'm like, I was going to read, synthesize it or reorder it and kind of make it into a meaningful newsletter. Sam Wilson (00:12:22) - I'm like, You know what? I'm going to stick all of this in chat GPT and see what it can do to turn this into one cohesive thought, like organize this thoughts and make it a logical, a logical paragraph. And seconds later I had a 15 newsletter and of course I edited because there was some things that were not perfect, but I mean, it saved me two hours of time at least. That's right. Rewriting something, I'm like, Oh my gosh, this is. This is amazing. So you guys are doing kind of the same thing with incorporating AI and how that's, you know, that's shaping the future of real estate. But tell us tell us what your thoughts are on that. Arunabh Dastidar (00:12:57) - You gave a great example. Now imagine that power of language models with descriptive and productive AI. So which works on math, right? ChatGPT is still bad at math, right? Okay. Math is tough, right? So it's still bad in math, but it's still a great at language. Arunabh Dastidar (00:13:15) - So how we do these two things together is we have built a proprietary, specific industry, specific data models that feeds the language models to give you the responses with math. So now you are you're actually accelerating not only the process of like data driven decision making, but also the storytelling aspect of it. So when you see look at our our dashboard, so you can see all the data points. But then when you look at our insights, you can see that explained in a human language format, which gives you more confidence to take that action or nudge you towards the right direction to look at it. So it's it's really great language which helps you like make more human sense, right? Instead of like spreadsheets. And then it's great data models that give you that data. And combining these two is what changes decision making, what accelerates that decision making part. Sam Wilson (00:14:17) - Wow, that's really awesome. So let's let's cover some more of those decisions that your platform helps people make. What, outside of predictive pricing? Give me some other examples if you can. Arunabh Dastidar (00:14:30) - Yeah. So one of the very interesting things which were platform was able to detect is the kind of work orders you generate and preemptively telling you that these are the ongoing issues or regular issues which comes up and which impacts your tenant satisfaction. So there are a few maintenance modules which tells you the ongoing system but cannot correlated with external factors or few things which are outside of that particular niche. Right? So what our system can tell you that, you know, maybe this is an ongoing issue, but this is a smaller issue. But this every time this particular issue comes in, maybe it is water leakage or it is like an issue comes in, it impacts your tenant sentiment much more because we connected with the tenant sentiment data, which is another software as well. So think of us at that layer where synthesizing multiple different, you know, the ERP as well as external data points and giving you what is the most relevant decision to make without like without having a tunnel vision, right? So if you go currently to each of these systems, they give you a tunnel vision on, okay, this is the most repeated work order, that's great. Arunabh Dastidar (00:15:53) - But what with that right, if you if you get the data but you don't know the how, you are actually missing 80% of the picture and our system helps you get to the how connecting from these two areas. Sam Wilson (00:16:06) - That and doing that again on the fly is, I think, the most powerful part of this. Yes. Because it's one thing like and I like the way you put that where you said, hey, it's you know, it's one thing to see, okay, this might be the most repeated work order, but it might be that it really doesn't impact tenant satisfaction any. That's right. Might not impact the bottom line in a way that maybe there's one work order that's only 5% of the total work orders that come in, but it really honks every tenet off when it happens and they end up leaving because. Well, and so and that can drive, you know, an outsized and outsized return or lack thereof, you know, without and being able to aggregate that data in a meaningful way. Sam Wilson (00:16:47) - I think one of the and this again, I'm not a techie. I'm just going to tell you that right now, I can send an email, I can get on a Zoom call. And outside of that, I'm pretty well stuck. But I'm just thinking about stuff like even our investor portals where it's like we upload all these documents and it just maps it all to the right, you know? Okay, this is your k one, your k one, and reads the names on it and plugs it without us having to go through and select who the 100 investors are in that deal and like and that's that's a small idea of what technology can do that really makes our lives easier. But you guys are kind of doing that same thing at scale. And I think that's that's a powerful part of what we haven't even mentioned the name of it here. Can you tell us the name of your company so our listeners can actually go out and find this? Arunabh Dastidar (00:17:30) - It's called Real Sage. Yeah. So real sage. Arunabh Dastidar (00:17:35) - Sage is the wise. Yes. Real sage. Sage is the wise person. Real comes from real estate. So we're bringing wisdom to real estate. And that's how it is. Real sage. Sam Wilson (00:17:45) - That's really fantastic. How did you sell this idea? Let's get into the nuts and bolts of how you built your company just for a couple of minutes here, because I think this is always, always a fun conversation as we talk about how to scale commercial real estate. You had this great idea. You saw a problem. You have the intelligence in the background to figure out how to solve that. But then how did you incorporate all these other PhDs, universities and people like that into what you were doing and sell them on the idea that this is a problem that we can solve. Arunabh Dastidar (00:18:13) - It's first of all, it's believing in the problem, right, as a team. So I have two other co-founders. The other guy went to Columbia for his master's, comes from very deep real estate background work with private equity. Arunabh Dastidar (00:18:28) - We are the people who come from industry. There is no one else who can be passionate, more passionate than us to actually solve the problem. And you know, when you go with the passion and like show what you're trying, what you're trying to do as a mission driven company ourselves, people will tag along. You know, that's I have seen like for us and I so I advise a couple of companies in San Francisco and other places. One thing which I recommend, anyone who is in entrepreneurship, it's a hard journey. If you're not passionate about it, you can't do it. You have to have that really great mission. And that's what differentiates us as a team and product to have that mission, to change it for the industry. And that's how the first nuts and bolts got together. We spoke to our clients, we heard them, we resonated with their problem and each fact of our product, when you look at it, it will tell you, it will scream that this is a customer problem, which we are solving. Arunabh Dastidar (00:19:36) - Right? And a lot of technical products, right? Like do this mistake of making it too technical on the behind. So you need lots of analyst or external consultant to like actually bridge it together. So which is a big pull for an asset manager or anyone from the industry to take. We have made it so simple that it's a no code solution for anyone who can get on a zoom and know how to open an Excel file can start using our system. Why? Because we come from the industry and we understand that. And that's how, like the first few pieces started talking, talking to a lot of customers, always helpful. And now where we are at is also like given regular feedback, regular touch with the people. And I personally do onboarding. I personally sit on onboarding calls as well. Sam Wilson (00:20:23) - So that's really, really cool. Yeah. You've lowered or eliminated as much as you can the barriers to adoption because like you're saying, you know, if all of a sudden you have to learn to code or you know, you mentioned the word APIs and this and that and the other, and it's like, I mean, you call a guy like me and if I needed your product, I'd be like, Yeah, that's just that's too hard. Sam Wilson (00:20:42) - I don't I don't have three weeks to learn how to adopt what it is that you're not. I see that. I think you've seen it probably too, in the tech space. And it's like, this just doesn't work simply because the, the interface with a common user just isn't there. So I think that's really cool. You guys have done some awesome stuff. I wish we had more time to dig into some of the other things that that your current product does. But I got one last question here for you, and we talked about this briefly about things that are in the pipeline. What are some other major problems you guys are looking to solve in the near term? Arunabh Dastidar (00:21:12) - Yeah, one of the big launches of which we are looking to do is real grow. We know there are so many commercial real estate investors who are going into transaction and actually building our growing their portfolio. Our technology would be helping them to bring more external data sets and do disposition and acquisition analysis based on the trends on those markets. Arunabh Dastidar (00:21:38) - So imagine you want to buy something in Texas and you don't know anything about Texas. Market partner with one of our data plug partners. Bring the Texas demographic data our system can do on demand, No code analysis on where the market is going and then can suggest you spots where you can then go and scout for deals that can help you grow in the next five years and six years horizon. So that's one of the big things which we are working on and we're looking forward to it. Sam Wilson (00:22:10) - Wow, that's really, really cool. I have thoroughly enjoyed having you on the show today. Thank you for taking the time to come on and share with our listeners just the future of real estate and how decisions are going to be made. Because I think this is this is you're ahead of the curve on this. And I think this is a really, really fun topic to to discuss. So thank you again for your time today. If our listeners want to get in touch with you and learn more about you. What is the best way to do that? Arunabh Dastidar (00:22:33) - Yes, you can go to real estate and hit on request. Arunabh Dastidar (00:22:40) - Our team would be love to like chat with you, understand your problem and go from there. You can follow us on our LinkedIn page at Real Sage or reach me out on LinkedIn at the Star or Twitter as well at T. Sam Wilson (00:22:56) - Fantastic. We'll make sure we include all of that there in the show notes. Arnab Thank you again for your time today. I certainly appreciate it. Arunabh Dastidar (00:23:02) - Thanks a lot, Sam, for having me. Take care. Sam Wilson (00:23:05) - Hey, thanks for listening to the How to Scale Commercial Real Estate podcast. If you can do me a favor and subscribe and leave us a review on Apple Podcasts, Spotify, Google Podcasts, whatever platform it is you use to listen. If you can do that for us, that would be a fantastic help to the show. It helps us both attract new listeners as well as rank higher on those directories. So appreciate you listening. Thanks so much and hope to catch you on the next episode.
Arnab talks about Mr. Trudeau and his face-off with India --- Support this podcast: https://podcasters.spotify.com/pod/show/appodcast/support
Suhel joins Arnab in this discussion on Jawan. #SpoilerAlert --- Support this podcast: https://podcasters.spotify.com/pod/show/appodcast/support
Arnab reviews Lust Stories 2. Warning: May contain spoilers. --- Support this podcast: https://podcasters.spotify.com/pod/show/appodcast/support
In this episode, we cover the topic we wanted to cover for the last few weeks but always ran out of time. It's the topic of SaaS subscriptions. As a business that doesn't yet make any revenue, we pay quite a bit in subscription fees because these days everything is a subscription. Apparently, soon we'll be paying a subscription to heat our butts in cars — Arnab tells a story of a car manufacturer that will ship cars with all the hardware, but will disable “premium” features unless you pay a monthly fee. In this episode, we introduce our lovely Chief Dog Officer who often inserts a few soundbites into our podcast. Sometimes he takes a bite too. He's a star employee and we love him. We covered a few other topics like how producing TikTok worthy content changes who you are and the crab emoji at Google that can be funny but also passive aggressive. Segments [00:38] First annual Metacast all-hands [02:33] Creating TikTok worthy content [05:58] Active listening strikes back [08:05] In-person recording setup [10:03] Introducing our CDO, Chief Dog Officer [10:52] Crab emoji at Google [12:09] Reflection on the Jason Fried episode [15:45] User research studies for our app [20:58] The original name for our company [22:56] The SaaS Subscriptions Pandemic [33:55] Google vs. Amazon culture
We are starting to share bits of what we're working on — a podcast app! The main topic of today's episode is podcast listening apps and the things they suck at. Also in the episode: some backstory of how we decided to work together, golden handcuffs of a big tech, the working backwards approach, and importance of checklists.
When he fled his war-torn hometown of Damascus, Imad Al Arnab spent three dangerous months smuggled in lorries trying to reach Europe. He arrived in the UK in the autumn of 2015 with a fake passport and just £12 in his pocket. Now, the Syrian chef has opened his own restaurant in Soho, and written a cookbook that is as much a celebration of his homeland as a reflection of his experience as a refugee. Today on Ways to Change the World, Imad Al Arnab joins Krishnan Guru-Murthy to talk about fleeing Syria and his journey from losing everything in the war to rebuilding a life in the UK.
We've heard feedback that listeners really love our metasodes — the episodes where Arnab and I chat about all things podcasting, careers, books, etc. We also heard feedback loud and clear that our episodes are too long… On today's episode, we chat about these changes, producing a video episode in Descript, Conway's law, our new merch store, our upcoming book, and a few more things.
Starting a podcast can feel daunting but it need not be. In this episode, we've put together insights from our interviews with podcasters, creators of tech for podcasters, and radio hosts.
Asylum Speakers Podcast with Jaz O'Hara: Stories of Migration
In today's episode I speak to the wonderful Imad Al Arnab of Imad's Syrian Kitchen. Imad has such an amazing story. He was a successful restaurateur in his home city of Damascus, Syria where he owned multiple restaurants, several juice bars and coffee shops. After they were all bombed and it became apparent he had to leave, he made the dangerous journey to the UK, where at first he worked in a car wash and as a car salesman. It didn't take long for him to go on to open his very successful restaurant in Central London - Imad's Syrian Kitchen.. He's now written a recipe book also called Imad's Syrian Kitchen - a love letter from Damascus to London, and is in the process of opening an even bigger restaurant still in Kingly Court off Carnaby Street.In the run up to interviewing Imad I read loads of articles about his story. In some he spoke about the 65 days he spent living in Calais, holding on to the underside of lorries trying to get to the UK. But most importantly I remember him talking about how cooking was always a part of his journey. How a British Pakistani volunteer had given him a small stove and gas canisters so he could cook for himself and 14 friends. How he didn't want to carry a knife and appear dangerous so he broke the vegetables up with his hands, and how a local Calais resident had been annoyed with them fishing close by, until one day Imad offered him some of the dish he had made with the fish, and from then on, he allowed Imad and his friends to charge their phones at his house. Imad is so instantly warm and likeable. We recorded this episode in the restaurant after having lunch there together. I didn't order, but before I knew it the table was covered in colourful, beautiful dishes. I remembered some of Imad's words from another article saying “In Syria we don't ask ‘what do you want to eat? We just serve lots of food and you can eat whatever you like, whenever you like. It's like family.”I LOVED Imad's positive outlook and came away from the conversation totally topped up and inspired… I'm so sure you will too…--To support the show: https://www.patreon.com/theworldwidetribeThis episode is brought to you by Skin + Me - a personalized skincare solution that has not only transformed my skin, but also my packing experience wherever I'm going. Use the code ASYLUMSPEAKERS for an over 85% discount on your first month. Hosted on Acast. See acast.com/privacy for more information.
Part 2 of the episode about taking a break from corporate careers to start our own podcast technology company. We'll soon announce our product, so stay tuned! [02:10] Arnab's story: from SDE I to a Principal Engineer at Amazon [06:35] Getting promoted to your level of incompetence and leaving [11:44] Google vs. Amazon culture [23:09] One thing we'd take away from Amazon and Google to our startup [25:32] Join our alpha program [25:51] Time for silly questions [28:21] Working from a Google office [30:28] Biggest risk Ilya took previously [35:58] Goals for the next year [37:32] A pathless career path (answering a question from a subscriber) Full show notes with links: https://www.metacastpodcast.com/p/024-pt2-non-linear-careers-google-amazon-culture We're always happy to hear back from our listeners, so don't hesitate to drop us a note! - Email: hello@metacastpodcast.com - Ilya's LinkedIn: https://www.linkedin.com/in/ilyabezdelev/ - Arnab's Twitter: https://twitter.com/or9ob Subscribe to our newsletter where we announce new episodes, publish key takeaways, and ramble about interesting stuff at https://www.metacastpodcast.com.
We're taking a short break from our usual programming about podcasting to dive into what's next for us. Ilya quit his job at Google on June 1st and Arnab left his job at Amazon last year. On this episode, we're discussing why we decided to jump ship, how we manage risk, financial planning, etc. We're also going a bit personal and talking about our approach to career planning. [02:21] Ilya's left Google to work on a podcasting company with Arnab [03:23] What did Ilya do at Google? [04:54] Google's “defragging” of Google Reader [09:48] Getting tired of a corporate job [16:07] Wantepreneurs vs. entrepreneurs [22:35] Realizing I can't do it anymore and conquering fears [25:53] Preparing finances to jump corporate ship [33:48] Indie development model [37:06] Preparing the family for leaving your job [43:12] Health Insurance Full show notes with links: https://www.metacastpodcast.com/p/024-pt1-leaving-jobs-at-google-and-amazon We're always happy to hear back from our listeners, so don't hesitate to drop us a note! - Email: hello@metacastpodcast.com - Ilya's LinkedIn: https://www.linkedin.com/in/ilyabezdelev/ - Arnab's Twitter: https://twitter.com/or9ob Subscribe to our newsletter where we announce new episodes, publish key takeaways, and ramble about interesting stuff at https://www.metacastpodcast.com.
It's official — we are creating a company together and in this episode we're starting to talk a bit about that. Going forward, we'll use our metasodes to provide an update on how the business and product development is going, so, if you're interested in our entrepreneurial journey, subscribe/follow our show! Full show notes with links: https://www.metacastpodcast.com/p/023-radio-aint-dead-starting-company-little-kids Chapters: [00:39] Arnab's computer possessed by ghosts [03:36] Quick recap of the last episode with TechTalkRadio [10:19] Working together for 30 years on radio and in music [12:59] Is radio dead yet? [15:19] Analytics and ratings in radio [18:31] Starting a company with little kids [28:16] Ilya leaving his job at Google and we're starting a company [31:09] Bitching about radio buttons and other UX elements in cars We're always happy to hear back from our listeners, so don't hesitate to drop us a note! - Email: hello@metacastpodcast.com - Ilya's LinkedIn: https://www.linkedin.com/in/ilyabezdelev/ - Arnab's Twitter: https://twitter.com/or9ob Subscribe to our newsletter where we announce new episodes, publish key takeaways, and ramble about interesting stuff at https://www.metacastpodcast.com.
Arnab talks about the two tech topics of the day: The "alleged" data breach of Cowin and Why aren't Indians producing innovation "allegedly"? --- Support this podcast: https://podcasters.spotify.com/pod/show/appodcast/support
We sat down with TechTalkRadio's hosts Andy Taylor, Justin Lemme and Shawn DeWeerd to talk about all things radio. Topics in this episode: - Story of one of the very first podcasts out there - What are AM and FM radio stations anyway? - Role of AM radio in emergencies - Syndication in the world of radio - Audience measurement and ratings - Live reporting for television using a satellite truck - Sticking to producing a show and not giving up - Segments about tech products on TV - Taking phone calls on live radio - Recording gear: Arrakis, Comrex, etc. - Going with the flow - Funny moments on a radio show - Advice to aspiring podcasters - A special section for Jennie - Metacast T-shirts - Podcast recommendations Full show notes with links: https://www.metacastpodcast.com/p/022-techtalkradio We're always happy to hear back from our listeners, so don't hesitate to drop us a note! - Email: hello@metacastpodcast.com - Ilya's LinkedIn: https://www.linkedin.com/in/ilyabezdelev/ - Arnab's Twitter: https://twitter.com/or9ob Subscribe to our newsletter where we announce new episodes, publish key takeaways, and ramble about interesting stuff at https://newsletter.metacastpodcast.com.
Arnab and Ilya talk about: Cookie-cutter, pre-recorded intros/outros (meh, we don't like those) Using GitHub to manage our podcast workflow What happens when podcasts change hosts Our inability to stick to a topic. It needed a meme, so we made one up! Tangents: video codecs, Back to the Future, music (Nirvana, Alice in Chains, Judas Priest), Tony Fadell's book "Build," and thermostats. Full show notes with links: https://www.metacastpodcast.com/p/021-all-things-tangential-memesode We're always happy to hear back from our listeners, so don't hesitate to drop us a note! Email: hello@metacastpodcast.com Ilya's LinkedIn: https://www.linkedin.com/in/ilyabezdelev/ Arnab's Twitter: https://twitter.com/or9ob Subscribe to our newsletter where we announce new episodes, publish key takeaways, and ramble about interesting stuff at https://www.metacastpodcast.com.
Justin Jackson, co-founder of Transistor.fm, shares his views on decentralization in podcasting, the unrealized hype created by Spotify investing $1B into podcasting, and the benefits of friction in leaving comments. Full show notes with links: https://www.metacastpodcast.com/p/020-justin-jackson-transistorfm We're always happy to hear back from our listeners, so don't hesitate to drop us a note! Email: hello@metacastpodcast.com Ilya's LinkedIn: https://www.linkedin.com/in/ilyabezdelev/ Arnab's Twitter: https://twitter.com/or9ob Subscribe to our newsletter where we announce new episodes, publish key takeaways, and ramble about interesting stuff at https://www.metacastpodcast.com.
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