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Josh Poduska reposted thisJosh Poduska reposted thisPacific Gas and Electric Company is on the search for a new Senior Manager, Data Science to join our family! This role leads PG&E’s AI & Data Science Center of Excellence, setting enterprise-wide standards, governance, and best practices for responsible, scalable use of AI, ML, and GenAI. The Senior Manager focuses on enabling and elevating data science across the company—through guidance, frameworks, workforce development, and consulting—rather than directly delivering individual solutions. It combines technical thought leadership, people leadership, and regulatory-aware AI governance to help PG&E improve safety, reliability, and affordability. If interested, please click the link and apply! https://lnkd.in/g_Jn3tnz #ArtificialIntelligence #AI #datascience
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Josh Poduska shared thisJob posting alert! Leadership opportunity to advance PG&E's AI program as we realize our goals in customer affordability, system reliability, and safety for all. https://lnkd.in/gU_2GXH3Senior Manager, Data Science - AI & Data Science Center of Excellence at PG&E CorporationSenior Manager, Data Science - AI & Data Science Center of Excellence at PG&E Corporation
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Josh Poduska shared this🌟 Hiring Alert: Data Scientist Opportunity at PG&E 🌟 Pacific Gas and Electric Company is seeking an experienced Data Scientist to join our Data Science & AI Center of Excellence. In this pivotal role, you will: -Coach and mentor teams across the company -Enhance the governance, safety, and technical application of AI/ML -Contribute to PG&E’s critical societal mission If you have a proven track record of data science development/deployment and are passionate about using your experience to help others achieve similar success, we want to hear from you! https://lnkd.in/gwygUdVA #AI #datascience #ML #coach #mentor
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Josh Poduska shared thisLooking forward to the Pacific Gas and Electric Company Innovation Summit on Nov 13th. We'll have tables highlighting the latest in applied AI&ML project work. If you'll be in attendance, be sure to stop by and check it out. https://lnkd.in/gwqvyhuS #ai #datasciencePG&E 2024 Innovation Summit to Showcase Novel Climate-Tech Solutions, Additional Speakers ConfirmedPG&E 2024 Innovation Summit to Showcase Novel Climate-Tech Solutions, Additional Speakers Confirmed
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Josh Poduska reacted on thisI sat down for a media interview covering trends from the recent #ODSC East conference in Boston including #AI safety and the future of building better AI models. Key takeaways: - Large language models (LLMs) are everywhere, but they're not always safe or accurate. - AI governance is a growing concern, with regulations likely to come in the future, especially in healthcare and finance. - Human testing and monitoring are crucial throughout the AI development lifecycle to ensure quality and safety. Intriguing questions: - Will AI become more personalized in the next five years? - How can we find the right balance between regulating AI and allowing it to advance? Listen to the full podcast episode! https://lnkd.in/dPkcQmAE
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Josh Poduska shared thisI sat down for a media interview covering trends from the recent #ODSC East conference in Boston including #AI safety and the future of building better AI models. Key takeaways: - Large language models (LLMs) are everywhere, but they're not always safe or accurate. - AI governance is a growing concern, with regulations likely to come in the future, especially in healthcare and finance. - Human testing and monitoring are crucial throughout the AI development lifecycle to ensure quality and safety. Intriguing questions: - Will AI become more personalized in the next five years? - How can we find the right balance between regulating AI and allowing it to advance? Listen to the full podcast episode! https://lnkd.in/dPkcQmAE
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Josh Poduska posted thisOne of my contacts is looking for a Technical Account Manager role for a ML platform vendor that is growing. Reach out to me if you're interested.
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Josh Poduska shared thisPleased to share that I'll be presenting at Open Data Science Conference (ODSC) in Boston on Wednesday, the 24th at 2 pm. Péter Pham and I will be speaking on the important role crowdsourcing plays across the AI lifecycle. This is a trend I see growing as regulations increase and #AI models/products grow in complexity and specificity. https://lnkd.in/gHUeZmX2Overcoming the Limitations of LLM Safety Parameters with Human Testing and MonitoringOvercoming the Limitations of LLM Safety Parameters with Human Testing and Monitoring
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Josh Poduska liked thisJosh Poduska liked thisPacific Gas and Electric Company is on the search for a new Senior Manager, Data Science to join our family! This role leads PG&E’s AI & Data Science Center of Excellence, setting enterprise-wide standards, governance, and best practices for responsible, scalable use of AI, ML, and GenAI. The Senior Manager focuses on enabling and elevating data science across the company—through guidance, frameworks, workforce development, and consulting—rather than directly delivering individual solutions. It combines technical thought leadership, people leadership, and regulatory-aware AI governance to help PG&E improve safety, reliability, and affordability. If interested, please click the link and apply! https://lnkd.in/g_Jn3tnz #ArtificialIntelligence #AI #datascience
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Josh Poduska liked thisJosh Poduska liked thisExciting news: I'm doubling down on knowledge research and AI products as Chief Scientist! Ash Ashutosh is joining Pinecone as our new CEO! Here is what I posted on our blog just now: I'm thrilled to share that Ash Ashutosh is joining Pinecone as our new CEO! Ash is an accomplished entrepreneur and tech veteran. He will grow the company and expand Pinecone’s leadership in the vector database space. I will become the company’s Chief Scientist and drive forward our mission: to make AI knowledgeable. Ash is a three-time founder of storage and data infrastructure companies Serano Systems, AppIQ, and Actifio, leading those to hundreds of millions in annual revenues and eventual acquisitions. His 40-year journey in technology also includes time spent as the CTO of HP’s storage division, a partner at VC firm Greylock, and most recently, Global Director of Solution Sales at Google. He holds a degree in electrical engineering and a master’s degree in computer science from Penn State University. It was not easy to find a leader like Ash who fits our culture, deeply understands cloud infrastructure, and has the operational track record of successfully growing companies. Over the last several months, I spent many hours with Ash talking about technology, strategy, our market and vision, and what kind of company we want Pinecone to be. I could not have hoped for a better person than Ash to partner with me on growing Pinecone. As for myself, I’ll focus my energy on the critical and urgent effort to unlock the next phase of our technology, pushing the boundary of knowledgeable AI and search, and building delightful and context-aware products and infrastructure. We are at a pivotal moment. The convergence of AI and data represents the defining technology transition of our lifetime. The potential value for our customers is limitless, both through leveraging AI models to revolutionize search, and by using search to enrich the context for AI. This powerful intersection is precisely where Pinecone thrives. This is where I will dig deep as Chief Scientist. On a personal note, for those who know me, you can guess how excited I am to be spending more time with data and models, coding and prototyping, and understanding the tooling and ecosystem better. To the Pinecone team, my 46th birthday was this weekend. My 7yo daughter gave me the best birthday wish ever: “Dad, I hope you have a fun year at Pinecone and work with nice and helpful people.” She nailed it. Thank you all for being “nice and helpful.” Building Pinecone with you is a ton of fun, you rock! I want to take the opportunity to also thank our loyal customers and users. Thank you for loving our product and trusting us with your production workloads. There is sooo much more coming! I can’t wait to spend more time with you, learn from you, and build for you. Nano-banana made "Ash and me" engage in a vivid conversation. I sure would love to know what they are talking about : )
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Josh Poduska liked thisJosh Poduska liked thisMy Vertica journey has come to an end. After 8 years of contribution, I’ve learned so much and had the pleasure of building both a product (VerticaPy) and a team that I’m truly proud of. I still remember when it all started in Grenoble 8 years ago, under the guidance of Yassine Faihe, Ph.D. and Fouad Teban. Thank you both for building the foundation of my career and for supporting me over so many years. I cherish every moment we shared as a team, how we built a product together and delivered impactful PoCs across the world. You’ve been exemplary leaders, and I still use what I’ve learned from you every single day. Over time, I grew into the role of a Presales Data Scientist, working with hundreds of clients whom I thank for their trust. I also had the chance to develop a product that reached a global scale. A few special thanks along the way: 🔹 Maurizio Felici & Marco Gessner (M&Ms) – You’ve been true mentors. Thanks to you, I significantly improved my SQL and C++. Many successful projects were built based on your advice, and you played a huge part in Vertica’s golden years. 🔹 Matteo Monaldi, Abdelhak Zabour, Umar, Arash, George, Waqas, Mark, Roy – It was a pleasure working with you on the Machine Learning side of Vertica. Together, we built a powerful suite of in-database ML features at scale, something now being followed by even the biggest players. 🔹 Colin Mahony, Joy King – Thank you for your trust and for giving me the opportunity to achieve so much. You led Vertica at a time when the product truly reached new heights. 🔹 Maciej Paliwoda, Pablo Vidal, David Cañadillas, gianluigi viganò, Eric Rousseau, Evgeny Stepanov, Jack Shi, Raghunath Pawar, Kaito Tonooka, Kristen Boyd, Bryan Herger, Marc Heimlich, Hamza Gürani AKBULUT, Michael Flower, Moshe Goldberg, Aleksandr Skorobogatov, Andrei V. Kirilenkov – I had the chance to work with you on numerous projects that helped me grow personally and professionally. Presenting our work around the world was an amazing experience that I’ll always be grateful for. 🔹 Oussama Chakri, Fabien Contaminard, Koumaran Bergen, Eric Rousseau – Thank you for supporting the VerticaPy project with major clients in France. You amplified what began as a simple PoV into something truly impactful. 🔹 Stephen Walkauskas, Yuanzhe Bei, Erik Sargent, William Jones – Thank you for guiding me post-R&D. You helped me grow in terms of understanding PI fundamentals and how to structure robust, scalable code. To those still at Vertica – I wish you all the best in what’s ahead. You have a great product, and I’m confident it will continue to succeed. 🤞 As for me, I’m continuing my journey with what I believe to be one of the best products in the market today in its category. Stay tuned – I’ll be announcing my next adventure very soon. 🚀 Below, you can see a picture of the first VerticaPy logo, my first home office in Grenoble, and a photo from the first presentation of the supported VerticaPy version in Zagreb.
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Josh Poduska liked thisJosh Poduska liked thisIt's been an eventful week, I was privileged to attend and participate in the 2nd Annual Business of Space conference hosted at The University of Alabama in Huntsville. It was a very successful event where industry, government, academic, and defence organizations shared the current state of business in space and discussed hurdles and opportunities. A big thank you to Jeremy Fehrenbacher and Christine Kretz for their work. I'm proud of the work that Above Space does every day to provide More Space in Space, and for the many companies that we have enabled to access space for the first time. Many more exciting things are ahead in the coming weeks and months.
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Winston Clay
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Uptycs
When evaluating AI-native security platforms, the most important question is how conclusions are formed. Many tools layer AI on top of fragmented data, which limits outputs to summaries without real context. Without an ontology-driven reasoning layer, AI cannot connect assets, identities, permissions, and activity into a coherent understanding of risk. Architecture determines whether AI produces explainable decisions or confident noise. Read more: https://bit.ly/49GniUF #AISecurity #SecurityArchitecture #CISO #CloudSecurity #SecOps
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Gravity
AI systems often blend data and inference making it harder to trace bias back to its source. Orion is built with intention. By separating data pipelines from inference, it anchors decisions in verified customer systems, not generated assumptions. That structure gives us greater control over bias and keeps insights aligned with reality.
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Posit PBC
Your data science team's models are ready. But are they reaching production? New BARC research shows why nearly half of organizations struggle to deploy data science applications—and how leaders are eliminating the bottleneck. The problem isn't technical skill. It's the structural gap between open-source innovation and enterprise governance. This Spotlight reveals: → How to accelerate deployment while maintaining compliance → Why purpose-built applications deliver higher ROI than dashboards → Real examples from NASA and regulated industries 🔎 For data science and IT leaders balancing speed with control. Download the research: https://lnkd.in/gAtm_sXX #DataScience #MLOps #DataGovernance #EnterpriseAnalytics
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Ted Kyi
Another great new educational series is starting at San Diego Machine Learning. With the explosion of AI, many people have been asking how to jump start their ML skills. SDML is responding with a weekly program based on the Hands-On Machine Learning book by Aurelien Geron. This free series will be available both in person and online on Saturdays, starting August 2nd. There are no prerequisites, and people who complete the program will learn all of the core ML skills needed to excel. https://lnkd.in/gB_3N2S4 #ai #ml #datascience #machinelearning
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Joseph Belafonte
Most companies don’t have an AI problem. They have an adoption problem. Over the past several years, I’ve built proprietary AI platforms with both broad enterprise reach and highly specialized applications. What I’ve consistently seen is this: AI value does not come from model sophistication. It comes from operational integration. The shift happens when: • AI moves from pilot to production • Data strategy is tied directly to revenue accountability • Leadership funds infrastructure, not experiments • Teams are trained to use AI daily, not occasionally AI transformation is not just about technology. It’s about operating model evolution. The organizations that will outperform over the next 3–5 years are the ones that: • Embed AI into core workflows • Align it to measurable commercial outcomes • Invest in scalable data foundations • Treat AI as an operating capability, not a feature Curious how others are thinking about AI enablement at scale.
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Nextnet
Scientific knowledge is expanding faster than ever but the data behind it remains fragmented. Genes, diseases, drugs, publications, datasets… all living in separate silos. Nextnet Ontology brings these pieces together into a unified semantic framework that connects biological entities, relationships, and evidence across the life sciences landscape. The result: 🔸 More meaningful discovery 🔸 Smarter AI reasoning 🔸 A deeper understanding of how knowledge truly connects Read the full blog to see how ontology powers the foundation of the Nextnet platform 👉 https://lnkd.in/ebr3VE_a
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Seth Bergeson
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Ontologize
Palantir Technologies recently released a new Foundry update that lets you build directly on your source tables, removing the need for manual syncing. As Ontologize’s Ben Thomas explains, most teams used to have to move data into Foundry before they could start modeling. With this update, you can create ontology object types backed by virtual or iceberg tables, so your data stays where it already lives, whether that’s in Snowflake, S3, or another external system. It’s a small change that removes hours of setup and makes it easier to model directly on your source systems. Try it out, and let us know what you think!
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