Podcasts about sambanova systems

This episode is sponsored by RapidSOS. Close the safety gap and transform your emergency response with RapidSOS.   Visit https://rapidsos.com/eyeonai/ today to learn how AI-powered safety can protect your people and boost your bottom line. In this episode of the Eye on AI podcast, we explore the world of AI inference technology with Rodrigo Liang, co-founder and CEO of SambaNova Systems.   Rodrigo shares his journey from high-performance chip design to building SambaNova, a company revolutionizing how enterprises leverage AI through scalable, power-efficient solutions. We dive into SambaNova's groundbreaking achievements, including their record-breaking inference models, the Lama 405B and 70B, which deliver unparalleled speed and accuracy—all on a single rack consuming less than 10 kilowatts of power.   Throughout the conversation, Rodrigo highlights the seismic shift from AI training to inference, explaining why production AI is now about speed, efficiency, and real-time applications. He details SambaNova's approach to open-source models, modular deployment, and multi-tenancy, enabling enterprises to scale AI without costly infrastructure overhauls.   We also discuss the competitive landscape of AI hardware, the challenges of NVIDIA's dominance, and how SambaNova is paving the way for a new era of AI innovation. Rodrigo explains the critical importance of power efficiency and how SambaNova's technology is unlocking opportunities for enterprises to deploy private, secure AI systems on-premises and in the cloud.   Discover how SambaNova is redefining AI for enterprise adoption, enabling real-time AI, and setting new standards in efficiency and scalability.    Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest breakthroughs in AI, technology, and enterprise innovation! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

This week, Shashank and Mark sit down with SambaNova Systems, a leading AI chip startup competing with tech giants like Nvidia and Cerebras. Joined by SambaNova's Director of Machine Learning, Urmish, and founding team member Raghu, they explore how SambaNova's reconfigurable data flow architecture is changing the game in AI inference and training. They discuss the company's unique hardware, fast inference capabilities, memory optimizations, and what the future holds for AI chip innovation. Learn what it takes to build high-performance AI systems and where the industry is headed next!

In this episode of InTechnology, Camille gets into SambaNova's full-stack AI solutions with co-host Stephanie Cope, Portfolio Development Manager at Intel Capital, and guest Rodrigo Liang, Co-Founder and CEO at SambaNova Systems. They talk about how SambaNova was founded, Intel Capital's reasons for investment, the revolutionary LLM Samba-1, how SambaNova helps enterprises cost-effectively adopt and scale gen AI, the benefits of using an open source-based solution while still protecting private data, the power of language in LLMs, Stephanie's approach to investing, and more. Try out Samba-1: https://fast.snova.ai/  Learn more about Intel Capital: https://www.intelcapital.com/  The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.  

As generative AI continues to shape the future, understanding its potential and challenges is crucial. Rodrigo Liang, co-founder and CEO of SambaNova Systems, delves into the impact of this transformative technology. Hosted by Daphne Royse, the discussion explores how SambaNova's innovative platform is setting new benchmarks in AI and what lies ahead for the industry. Only on TALRadio! Host : Daphne Royse guest : Rodrigo Liang, co-founder and CEO of SambaNova Systems you Can Reach Rodrigo @ linkedin.com/in/rodrigo-liang #GenerativeAI #AIInnovation #RodrigoLiang #SambaNovaSystems #ArtificialIntelligence #TechLeadership #AITrends #FutureOfAI #AIPlatforms #DaphneRoyse #TechInterview #AIRevolution #AIInsights #UnicornStartup #TechTalk #AIAdvancements #MachineLearning #BusinessAI #AIExperts #TechFuture #TALRadio #TALPodcast #Spotify #ApplePodcast

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ MLOps Coffee Sessions Special episode with Databricks, Introducing DBRX: The Future of Language Models, fueled by our Premium Brand Partner, Databricks. DBRX is designed to be especially capable of a wide range of tasks and outperforms other open LLMs on standard benchmarks. It also promises to excel at code and math problems, areas where others have struggled. Our panel of experts will get into the technical nuances, potential applications, and implications of DBRx for businesses, developers, and the broader tech community. This session is a great opportunity to hear from insiders about how DBRX's capabilities can benefit you. // Bio Denny Lee - Co-host Denny Lee is a long-time Apache Spark™ and MLflow contributor, Delta Lake maintainer, and a Sr. Staff Developer Advocate at Databricks. A hands-on distributed systems and data sciences engineer with extensive experience developing internet-scale data platforms and predictive analytics systems. He has previously built enterprise DW/BI and big data systems at Microsoft, including Azure Cosmos DB, Project Isotope (HDInsight), and SQL Server. Davis Blalock Davis Blalock is a research scientist and the first employee at MosaicML. He previously worked at PocketSonics (acquired 2013) and completed his PhD at MIT, where he was advised by John Guttag. He received his M.S. from MIT and his B.S. from the University of Virginia. He is a Qualcomm Innovation Fellow, NSF Graduate Research Fellow, and Barry M. Goldwater Scholar. He is also the author of Davis Summarizes Papers, one of the most widely-read machine learning newsletters. Bandish Shah Bandish Shah is an Engineering Manager at MosaicML/Databricks, where he focuses on making generative AI training and inference efficient, fast, and accessible by bridging the gap between deep learning, large-scale distributed systems, and performance computing. Bandish has over a decade of experience building systems for machine learning and enterprise applications. Prior to MosaicML, Bandish held engineering and development roles at SambaNova Systems where he helped develop and ship the first RDU systems from the ground up, and Oracle where he worked as an ASIC engineer for SPARC-based enterprise servers. Abhi Venigalla Abhi is an NLP architect working on helping organizations build their own LLMs using Databricks. Joined as part of the MosaicML team and used to work as a researcher at Cerebras Systems. Ajay Saini Ajay is an engineering manager at Databricks leading the GenAI training platform team. He was one of the early engineers at MosaicML (acquired by Databricks) where he first helped build and launch Composer (an open source deep learning training framework) and afterwards led the development of the MosaicML training platform which enabled customers to train models (such as LLMs) from scratch on their own datasets at scale. Prior to MosaicML, Ajay was co-founder and CEO of Overfit, an online personal training startup (YC S20). Before that, Ajay worked on ML solutions for ransomware detection and data governance at Rubrik. Ajay has both a B.S. and MEng in computer science with a concentration in AI from MIT. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Website: https://www.databricks.com/ Databricks DBRX: https://www.databricks.com/blog/introducing-dbrx-new-state-art-open-llm --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/

Huge thank you to ⁠Databricks⁠ AI for sponsoring this episode. Databricks - http://databricks.com/ Bandish Shah is an Engineering Manager at MosaicML/Databricks, where he focuses on making generative AI training and inference efficient, fast, and accessible by bridging the gap between deep learning, large-scale distributed systems, and performance computing. Davis Blalock is a Research Scientist and the first employee of Mosaic ML: a GenAI startup acquired for $1.3 billion by Databricks. MLOps podcast #219 with Databricks' Engineering Manager, Bandish Shah and Research Scientist Davis Blalock, The Art and Science of Training Large Language Models. // Abstract What's hard about language models at scale? Turns out...everything. MosaicML's Davis and Bandish share war stories and lessons learned from pushing the limits of LLM training and helping dozens of customers get LLMs into production. They cover what can go wrong at every level of the stack, how to make sure you're building the right solution, and some contrarian takes on the future of efficient models. // Bio Bandish Shah Bandish Shah is an Engineering Manager at MosaicML/Databricks, where he focuses on making generative AI training and inference efficient, fast, and accessible by bridging the gap between deep learning, large-scale distributed systems, and performance computing. Bandish has over a decade of experience building systems for machine learning and enterprise applications. Prior to MosaicML, Bandish held engineering and development roles at SambaNova Systems where he helped develop and ship the first RDU systems from the ground up, and Oracle where he worked as an ASIC engineer for SPARC-based enterprise servers. Davis Blalock Davis Blalock is a research scientist at MosaicML. He completed his PhD at MIT, advised by Professor John Guttag. His primary work is designing high-performance machine learning algorithms. He received his M.S. from MIT and his B.S. from the University of Virginia. He is a Qualcomm Innovation Fellow, NSF Graduate Research Fellow, and Barry M. Goldwater Scholar. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Website: http://databricks.com/ Davis Summarizes Papers ⁠Newsletter signup link Davis' Newsletters: Learning to recognize spoken words from five unlabeled examples in under two seconds: https://arxiv.org/abs/1609.09196 Training on data at 5GB/s in a single thread: https://arxiv.org/abs/1808.02515 Nearest-neighbor searching through billions of images per second in one thread with no indexing: https://arxiv.org/abs/1706.10283 Multiplying matrices 10-100x faster than a matrix multiply (with some approximation error): https://arxiv.org/abs/2106.10860 Hidden Technical Debt in Machine Learning Systems: https://proceedings.neurips.cc/paper_files/paper/2015/file/86df7dcfd896fcaf2674f757a2463eba-Paper.pdf --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Davis on LinkedIn: https://www.linkedin.com/in/dblalock/ Connect with Bandish on LinkedIn: https://www.linkedin.com/in/bandish-shah/

Idea-stage investors are still excited about AI, but the savvier ones are looking for social proof and tangible takeaways from the customer discovery process. Before they commit, these investors are seeking evidence that the idea/team they're considering won't melt like snow in the rain the next time a major player improves their model. With that in mind, I interviewed Rodrigo Liang, co-founder and CEO of SambaNova Systems, for Episode 2. Launched in 2017, SambaNova raised more than a billion dollars in its first three years to create a full-stack LLM platform. Our conversation covered a lot of ground, including his thoughts on product-led growth strategy for AI startups and the importance of aligning the needs of customers with the technology you're developing. Here's a breakdown: SambaNova's founding, market dynamics, and early product development (1:22) AI in enterprise environments, developing an ideal customer profile (4:23) how to ID different customer classes (6:47) developing a cohesive marketing strategy from Day 1 (10:09) keeping product development aligned with the needs of your customer (14:11) the pitfalls (and payoffs) of creating a feature for a single customer (17:13) customer transparency: can you/should you share your product roadmap? (20:28) overcoming AI adoption challenges and controlling costs (24:24) understand your customer's journey to deliver value quickly (28:21) "we really are focused on getting those quick proofs of success” (30:09) Rodrigo's advice for early-stage AI startup employees (35:45) early-stage fundraising should be about milestones, not runway (38:17) Fund/Build/Scale is sponsored by Mayfield. If you have a fundable idea for an AI-first startup at the cognitive plumbing layer, email aistart@mayfield.com. The podcast is also sponsored by Securiti, pioneer of the Data Command Center. Follow Fund/Build/Scale on Substack and LinkedIn.  

In this episode, we speak with Rodrigo Liang, the Co-Founder and CEO of SambaNova Systems. Customers turn to SambaNova to quickly deploy state-of-the-art generative AI capabilities within the enterprise.  Its purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing. Headquartered in Palo Alto, California, the company was founded in 2017 by industry luminaries and is backed by investors including SoftBank, funds and accounts managed by BlackRock, Intel Capital, Google Ventures, and other notable investors. I am your host RJ Lumba.  We hope you enjoy the show.  If you like the episode click to follow.

One of our research obsessions is Edge AI through which we study opportunities to build and deploy AI on a computing device at the edge of a network. The premise is that AI in the cloud benefits from scale but is challenged by cost and privacy and Edge AI solves many of these challenges by eliminating cloud computing costs and keeping data within secure environments. Given this interest, we were excited to talk with Rodrigo Liang, the Co-Founder and CEO of SambaNova Systems which has built a platform to deliver enterprise grade chips, software, and models in a fully integrated system, purpose built for AI. In this interview, Rodrigo discusses how his company is enabling enterprises to adopt AI in a secure, customizable way that builds long-term value by building AI assets. Their full-stack solutions aim to simplify AI model building and deployment, especially by leveraging open source frameworks and using modular, fine-tuned expert models tailored to clients' private data. Key Points: SambaNova Systems aims to help companies adopt AI technology, particularly in enterprise environments. It provides full-stack AI solutions including hardware, software, models, etc. to simplify adoption. The company's offerings are designed to enable companies to leverage AI while maintaining data privacy and security. A modular approach provides the flexibility to adapt to diverse enterprise needs. SambaNova takes an "AI asset" approach focused on creating long-term value rather than just providing "AI tools." A focus on open source models provides diversity of technology while reducing vendor lock-in. The company's software stack enables fine-tuning of granular models on customer data, creating a multitude of AI experts to serve the enterprise. Unlimited use encourages experimentation without the same cost challenges as public cloud AI. If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world's great minds. Subscribe to get Artificiality delivered to your email Learn about our book Make Better Decisions and buy it on Amazon Thanks to Jonathan Coulton for our music

"You better better know how to go with the flow." In this episode, I'm in conversation with Rodrigo Liang, the co-founder and CEO of SambaNova Systems. Generative AI solutions have taken the world by storm and will speed up industry by 10x. "What's necessary for us to train these models, we need very, very large data sets. And well guess what? These cloud services and these large hyper scalars have been able to accumulate so much data, that now you have large enough datasets that are allowing us to train these models really well." The problem is that enterprises want to have their own enterprise AI model that uses their proprietary company data, not a generic dataset scraped from the Internet. SambaNova helps companies build these specific enterprise AI models.  "The main reason people don't use the largest model is the training cost is significantly higher than the smaller models..." Rodrigo Liang is co-founder and CEO of SambaNova Systems, a leader in enterprise-scale artificial intelligence solutions. With deep roots in Stanford University, he and his co-founders designed a new full-stack hardware and software platform optimized for AI workflows and set the company on a mission to enable the future of artificial intelligence for the enterprise.  Rodrigo says that we are witnessing the fastest industrial revolution in history – and it's happening right in front of our eyes. The way artificial intelligence has unfolded in the past few months is just the tip of the iceberg, and it's going to transform the world as we know it.   "Text is still the number one format of your data, regardless of what you say about imaging and videos and things like that. Most of your data at rest exists as text." USEFUL LINKS LinkedIn profiles (personal, business):  Personal: https://www.linkedin.com/in/rodrigo-liang Business: https://www.linkedin.com/company/sambanova Twitter handles: @SambaNovaAI YouTube: https://www.youtube.com/c/SambaNovaSystems/featured Website:  https://sambanova.ai/  

Rodrigo Liang of SambaNova Systems joins Nate to discuss The Future of Generative AI, Innovating at the Hardware Layer, and the Path to Artificial General Intelligence. In this episode we cover: The Rise of Neural Nets and Demand for Computing Power Transition models vs. legacy models. E-Chat GPT Introduction was Game Changing. Predictions For The Future of Generative AI AI's role in the digital age. Are there any professions that are at risk? Guest Links: LinkedIn Twitter SambaNova Systems The host of The Full Ratchet is Nick Moran, General Partner of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. To learn more about New Stack Ventures by visiting our Website and LinkedIn and be sure to follow us on Twitter. Want to keep up to date with The Full Ratchet? Subscribe to our podcast and follow us on 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!

Founded in 2017, Fathom is the nation's leading medical coding automation platform, an AI solution that brings together the best of deep learning and natural language processing (NLP) to automate medical coding with unprecedented accuracy and efficiency. https://hitconsultant.net/2022/11/09/fathom-ai-medical-coding-automation-funding/ An Amazon Sparrow package handling robot during the Delivering the Future event at the Amazon Robotics Innovation Hub in Westborough, Massachusetts, U.S., on Thursday, November 10, 2022. https://www.cnbc.com/2022/11/10/amazon-introduces-robotic-arm-that-can-do-repetitive-warehouse-tasks.html Ravin AI, which offers artificial intelligence-based visual inspection services, said Wednesday that Hertz is testing the company's AI technology in Sweden and Norway. https://www.autoremarketing.com/technology/ravin-ai-teams-hertz-inspections SambaNova Systems, a Silicon Valley artificial intelligence (AI) startup, announced Monday that it has shipped eight units of its latest AI system to the U.S. Argonne National Laboratory, which is expanding its AI offerings for researchers. https://www.reuters.com/technology/us-argonne-national-lab-scales-up-startup-sambanovas-latest-ai-system-2022-11-14/ Subway believes you can, and to that end, the sandwich franchisor has begun rolling out a new line of smart refrigerators in the US to sell pre-made Subway sandwiches. https://thespoon.tech/subway-debuts-smart-fridges-to-sell-pre-made-sandwiches/ Visit www.integratedaisolutions.com

Fathom wurde 2017 gegründet und ist die landesweit führende Automatisierungsplattform für die medizinische Kodierung, eine KI-Lösung, die das Beste aus Deep Learning und Natural Language Processing (NLP) vereint, um die medizinische Kodierung mit beispielloser Genauigkeit und Effizienz zu automatisieren. https://hitconsultant.net/2022/11/09/fathom-ai-medical-coding-automation-funding/ Ein Amazon Sparrow-Pakethandhabungsroboter während der Veranstaltung „Delivering the Future“ im Amazon Robotics Innovation Hub in Westborough, Massachusetts, USA, am Donnerstag, den 10. November 2022. https://www.cnbc.com/2022/11/10/amazon-introduces-robotic-arm-that-can-do-repetitive-warehouse-tasks.html Ravin AI, das auf künstlicher Intelligenz basierende visuelle Inspektionsdienste anbietet, sagte am Mittwoch, dass Hertz die KI-Technologie des Unternehmens in Schweden und Norwegen testet. https://www.autoremarketing.com/technology/ravin-ai-teams-hertz-inspections SambaNova Systems, ein Start-up für künstliche Intelligenz (KI) aus dem Silicon Valley, gab am Montag bekannt, dass es acht Einheiten seines neuesten KI-Systems an das U.S. Argonne National https://www.reuters.com/technology/us-argonne-national-lab-scales-up-startup-sambanovas-latest-ai-system-2022-11-14/ Subway glaubt, dass Sie das können, und zu diesem Zweck hat der Sandwich-Franchisegeber damit begonnen, eine neue Reihe intelligenter Kühlschränke in den USA auf den Markt zu bringen, um vorgefertigte Subway-Sandwiches zu verkaufen. https://thespoon.tech/subway-debuts-smart-fridges-to-sell-pre-made-sandwiches/ Visit www.integratedaisolutions.com

Podcast jest dostępny także w formie newslettera: https://ainewsletter.integratedaisolutions.com/ Założona w 2017 roku firma Fathom jest wiodącą w kraju platformą automatyzacji kodowania medycznego, rozwiązaniem AI, które łączy najlepsze cechy głębokiego uczenia się i przetwarzania języka naturalnego (NLP) w celu automatyzacji kodowania medycznego z niespotykaną dokładnością i wydajnością. https://hitconsultant.net/2022/11/09/fathom-ai-medical-coding-automation-funding/ Robot do obsługi paczek Amazon Sparrow podczas wydarzenia Delivering the Future w Amazon Robotics Innovation Hub w Westborough, Massachusetts, USA, w czwartek, 10 listopada 2022 r. Amazon twierdzi, że Sparrow wykorzystuje wizję komputerową i sztuczną inteligencję do przenoszenia produktów, zanim zostaną zapakowane. https://www.cnbc.com/2022/11/10/amazon-introduces-robotic-arm-that-can-do-repetitive-warehouse-tasks.html Ravin AI, który świadczy usługi kontroli wizualnej oparte na sztucznej inteligencji, powiedział w środę, że Hertz pilotuje technologię sztucznej inteligencji firmy w Szwecji i Norwegii. https://www.autoremarketing.com/technology/ravin-ai-teams-hertz-inspections SambaNova Systems, startup zajmujący się sztuczną inteligencją w Dolinie Krzemowej, poinformował w poniedziałek, że dostarczył osiem jednostek swojego najnowszego systemu AI do amerykańskiego Argonne National Laboratory, które rozszerza swoją ofertę sztucznej inteligencji dla naukowców. https://www.reuters.com/technology/us-argonne-national-lab-scales-up-startup-sambanovas-latest-ai-system-2022-11-14/ Subway wierzy, że możesz, iw tym celu franczyzodawca kanapek zaczął wprowadzać nową linię inteligentnych lodówek w USA, aby sprzedawać gotowe kanapki Subway. https://thespoon.tech/subway-debuts-smart-fridges-to-sell-pre-made-sandwiches/ Odwiedź www.integratedaisolutions.com

Today's guest is Dr. Krishna Bulusu. Holding a Ph.D. from the Institute of Cancer Research and completing his post-doctoral research at the University of Edinburgh, Krishna was, until recently,  an Honorary Lecturer for the Department of Neuroscience at the University of Sheffield. Krishna has worked at Astra Zeneca for the last six years and is currently the Director of Early Computational Oncology. In this episode, Krishna discusses how we can more effectively leverage endless streams of data in the life sciences industry to develop drugs and treatments with knowledge graphs. He also shares his perspective on the current impact of AI and where and how knowledge graphs are impacting workflows today. This episode is part of our AI is Here series sponsored by SambaNova Systems. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today's guest is Marshall Choy, Senior Vice President of Product at SambaNova Systems. This episode is part of our AI is Here series, where we've talked about the current impact of AI across industries with practitioners and leaders across the United States and Europe. In this episode, we're focusing on AI adoption trends and what successful AI adopters are doing that others aren't. Marshall discusses the trends he's noticed in enterprises adopting AI well from a team perspective, a technology perspective, and a decision-making perspective. He also speaks about some of the differences between the American and European AI ecosystems and what European business leaders may potentially want to consider. This episode is brought to you by SambaNova Systems. To learn more about the AI is Here initiative and to learn more about how you might reach Emerj's global audience, visit emerj.com/ad1.

This week, Matt Taylor of SambaNova Systems and Esteban Rubens of NetApp join us to discuss medical imaging workloads and how Samba Nova and NetApp partner to improve the overall AI/ML experience for those use cases.

Today's guest is Caroline Gorski, Group Director for R2 Data Labs at Rolls Royce. As the world's second-largest aircraft engine maker, Rolls Royce makes all kinds of large and heavy machinery that require numerous parts. In today's episode, we explore the questions of how to source those necessary parts and leverage AI to achieve greater transparency in our supply chain. Caroline discusses where AI is making a dent in the industry today. She also provides a glimpse into the future with her perspectives on how companies will deal with supplies and how outside data sources might affect the supply chain and, consequently, estimated arrival dates for various parts from vendors around the world. This episode is part of our AI is Here series sponsored by SambaNova Systems. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

This is another episode in our AI is Here series. We've covered all sorts of industries in this recent series, from financial services to oil and gas, but we've yet to touch on defense. Our guest today is Jared Dunnmon. Jared is a Ph.D. from Stanford in Artificial Intelligence and is now the Technical Director of AI and Machine Learning for the Defense Innovation Unit (DIU). In this episode, we explore two key themes: individual use-cases and capabilities that are becoming important and the adoption of AI in the defense industry today. Jared highlights how we can find patterns in data in the world and the must-knows in the enterprise to get AI off the ground. This AI is Here episode is brought to you by SambaNova Systems. To learn more about Emerj Media and how to engage with the Emerj audience, visit emerj.com/ad1.

This is another episode in our AI is Here series, and today, we're focusing on AI in the hospital setting. In this episode, we discuss patient data and being able to guide a patient's treatment journey with artificial intelligence. Our guest is Dr. Kostas Papagiannopoulos. Kostas is an Honorary Senior Lecturer at Leeds University and serves as Thoracic Surgeon for Leeds Teaching Hospitals. He is also a Medical Advisor to several substantial medical device companies and, until recently, was President of the European Society for Thoracic Surgeons. In today's episode, Kostas discusses where he's seeing AI make its way into the hospital setting and some of the critical barriers to adoption, and how leaders should overcome them. This series is brought you to by SambaNova Systems. SambaNova believes that AI is here, and we've partnered with them to bring you leading experts across industries to discuss where AI is making an impact today.

Today's guest is Peter Tu, Chief Scientist for Artificial Intelligence at GE Global Research. In this episode, Peter provides a full-circle perspective on how data can inform maintenance processes and optimize specific outcomes. He also discusses some of the challenges in bringing these applications to life and some of the obstacles that GE has had to overcome. Peter speaks about these challenges as transferable lessons across different elements of heavy industry that have really made AI start to come to life. This episode is part of our special AI is Here brought to you by SambaNova Systems. SambaNova believes that AI is here, and we've partnered with them to bring you leading experts in varied industries and discuss where AI is hitting the ground running today.

Today's guest in our second episode of the AI is Here series is Gero Gunkel, COO for Zurich Customer Active Management at Zurich Insurance. He was formerly the company's Global Head of AI. In this episode, Gero provides his perspective on the accessibility of NLP applications in insurance and where it's making a difference today. Gero also gives a good idea of why that is, what use-cases he's seeing make a dent today, and connects those thoughts to what the future of insurance looks like. This special AI is Here episode is brought to you by SambaNova Systems, the sponsor of this series. SambaNova believes that AI is Here, and we've partnered with them to bring these episodes to you. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today's episode is part of our new sponsored series called “AI is Here,” where we will speak with AI experts across industries and ask them where AI is impacting their industry today and what that means for the future. In this first episode, we're exploring the energy sector by speaking to an AI expert at one of the world's largest energy firms: Shell. Today's guest is Dan Jeavons, VP of Computational Science, Digital Innovation, and IT. In this episode, Dan speaks about leveraging AI to simulate the operations of an energy firm to achieve better business and sustainability outcomes. He also paints a picture of the world we're headed into, one with a more distributed energy ecosystem where the environment is an even more important consideration for energy firms. This special episode is brought to you by SambaNova Systems. SambaNova believes that AI is here, and we've partnered with them to bring you AI trends and impacts affecting different industries today in this new Wednesday series. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Jolie Hunt Takin' Care of Lady Business with Jennifer Justice Episode 031: She Did It Her Way: Knowing and Communicating Your Brand Jolie has built reputations for some of the world's leading companies. As CEO of Hunt & Gather, Jolie creates strategic approaches for every client. She counsels C-Suite executives on building their profiles, refining their brand positioning, and crafting their communications strategies. She also specializes in connecting brands, businesses and leaders to create partnerships and collaborations that deliver real commercial impact. Before founding Hunt & Gather, Jolie served as chief marketing & communications officer for AOL and as senior vice president, global head of brand & public relations at Thomson Reuters. Earlier in her career, she was the global director of corporate & business affairs at IBM and director of public relations for the Financial Times.Jolie serves on the boards of Kilroy Realty (NYSE: KRC), the Civilian Public Affairs Council forWest Point Military Academy and The Lowline. She is an advisor to Accompany, dv01, The New Stand, SambaNova Systems and Humbition. In 2011, the European Public Relations Consultants Association named Jolie “In-House Professional of the Year.”  Listen to this Takin' Care of Lady Business episode where Jolie shares the lessons she learned from climbing the corporate ladder, and then founding her a company of her own. Here is what to expect on this week's show:  ● Understanding brand-building as a tool to build the matriarchy ● Tactical approaches to building a consistent, concise, recognizable brand ● Using your women's intuition to guide you to better employment opportunities, and signs that you may need to leave your current job ASAP ● Recognizing when to negotiate, and the people you absolutely need in your corner when negotiating ● When to hire communications people ● Why your personality and intuition are your best tools for strong brand-building  Connect with Jolie: WEBSITE: https://www.hunt-gather.com/ LINKEDIN: https://www.linkedin.com/company/hunt-&-gather-inc-/     Learn more about your ad choices. Visit megaphone.fm/adchoices

Today we're joined by Jennifer Glore, VP of customer engineering at SambaNova Systems. In our conversation with Jennifer, we discuss how, and why, Sambanova, who is primarily focused on building hardware to support machine learning applications, has built a GPT language model for the financial services industry. Jennifer shares her thoughts on the progress of industries like banking and finance, as well as other traditional organizations, in their attempts at using transformers and other models, and where they've begun to see success, as well as some of the hidden challenges that orgs run into that impede their progress. Finally, we explore their experience replicating the GPT-3 paper from a R&D perspective, how they're addressing issues of predictability, controllability, governance, etc, and much more. The complete show notes for this episode can be found at twimlai.com/go/561

Today's guest is Bob Gaines, Managing Director of Business Development at SambaNova Systems, a firm based in the Bay Area that has raised $1B to date. Bob has worked in financial services and technology with companies like IBM, Cray Supercomputing, Deephaven Data Labs. In this episode, he brings his perspective on how this technology has evolved regarding AI's impact in finance and where it's going. He also discusses how AI is being used not just to look at the individual entities exchanging funds but also to look at the behavior of the entities around them and the entities they do business with. This episode is sponsored by SambaNova Systems. Visit emerj.com/ad1 to learn more about reaching our global audience.

Marshall Choy, SVP Product, SambaNova SystemsUS firm SambaNova Systems is building what is being claimed as Europe's fastest AI supercomputer for Hungary's OTP Bank. The partnership between the two will deploy a multi-rack AI system, built on SambaNova Dataflow-as-a-Service GPT, offering the most advanced language model in the world at a commercial bank. The system will also be provided as a national AI resource in cooperation with Hungary's Ministry for Innovation and Technology. Robin Amlôt of IBS Intelligence discusses the impact of AI on banking with Marshall Choy, SVP Product at SambaNova Systems.

This week's guest is Everton Paulino, Business Development Executive of Automotive & Manufacturing at SambaNova Systems. SambaNova Systems has raised approximately $1B to bring their hardware and software solutions to market. In this episode, he brings experience to bear and discusses three unique use-cases for where AI might make a difference in the future of manufacturing. This episode is brought to you by SambaNova Systems. If you're interested in reaching Emerj's global executive audience through our podcasts, newsletter, website, or more, visit emerj.com/ad1 to download our media kit and learn more about our sponsored content guidelines and offerings.

Join us in The BreakLine Arena for a insightful conversation with Rodrigo Liang, CEO and co-founder of SambaNova Systems.In this conversation Rodrigo shares how developing rich relationships over the course of his career remains foundational to his success. He also provides deeper insight into how SambaNova aims to help bring AI to everyone, everywhere.Prior to joining SambaNova, Rodrigo was responsible for SPARC Processor and ASIC Development at Oracle. He led the engineering organization responsible for the design of state-of-the-art processors and ASICs for Oracle's enterprise servers.If you like what you've heard please like, subscribe, or rate The BreakLine Arena on your preferred streaming platform! We would also love to hear your thoughts, feedback, or recommendations on the content we are creating. Feel free to reach out to us at questions@break-line.com.To learn more about BreakLine Education visit us at breakline.org.

Today's guest is Marshall Choy, VP of Product at SambaNova Systems. In this episode, Marshall discusses two different approaches to AI adoption: doing it yourself and leveraging AI platforms. He shares his perspective on the advantages and disadvantages to both and insight on how to decide which approach might best suit your organization. This episode is sponsored by SambaNova Systems. To learn more about reaching our global executive audience through our sponsored content offerings, email list, website, and more, visit emerj.com/ad1.

Today's guest is Bill Fox, Business Development Executive for Healthcare Strategy at SambaNova Systems. Founded in Paolo Alto, California, SambaNova offers hardware, software, DataFlow-as-a-Service, and more. Today, Bill speaks about what SambaNova's team is seeing in terms of near-term future opportunities for computer vision and artificial intelligence. Bill also discusses use-cases relating to diagnostics and health and what the future of healthcare transformation could potentially look like. This episode is sponsored by SambaNova Systems. If you're interested in reaching Emerj's global audience via our podcast, newsletter, or website, be sure to visit emerj.com/ad1 for more information.