Podcasts about ai ml

As agencies continue their digital transformation, cloud adoption is essential for mission agility, security and efficiency. This episode dives into how agencies are tackling cloud migration, operational continuity and regulatory compliance while ensuring their systems remain resilient and cost-effective.  ThunderCat Technology's Cloud CTO Nic Perez, Deon James, AI Lead at Google Public Sector and Jeff Marshall, Director of Hosting and Compute at DISA discuss best practices for securing workloads, leveraging AI/ML for performance optimization and navigating federal procurement challenges.

How did a serial entrepreneur who built AI solutions for Toyota and Honda before ChatGPT existed become India's pioneering AI-first venture capitalist? In this episode, we explore Rahul Agarwalla's bold prediction of 100 AI unicorns emerging from India and his contrarian investment framework that's reshaping the startup ecosystem. Rahul Agarwalla, Managing Partner at SenseAI Ventures, brings a unique perspective to AI investing - having built and sold three AI/ML companies since 1996, including enterprise solutions used by Fortune 500 giants like Toyota, Honda, and Canon. As India's first AI-focused VC fund, SenseAI has deployed over ₹200 crores across 31 investments, achieving four successful exits while pioneering the shift from AI infrastructure to applications. In this candid conversation with host Akshay Datt, Rahul reveals his VDAT framework for evaluating AI startups, explains why most "AI wrappers" will fail, and shares controversial takes on outcome-based pricing, founder requirements, and market timing. With AI startups capturing 57.9% of global venture capital in 2025, Rahul's insights on building sustainable AI businesses, navigating the India-US corridor, and identifying the next wave of AI unicorns provide essential guidance for founders and investors riding the AI revolution. Key Highlights:

What if the biggest value of AI isn’t answers, but better questions? For Morgan Brown, Vice President of Product and Growth at Dropbox, that realisation has transformed everything from family dinners to global product strategy. In this episode, I chat with Morgan about how he uses AI as both a problem-solver and a sparring partner. Morgan leads Dropbox’s AI products, but he’s also built his own app from scratch - with no coding background - to help his six-year-old son manage type 1 diabetes. We dive into how Morgan uses AI to eliminate grunt work, create powerful prompts, and even stress test his own ideas. This conversation will show you practical ways to turn AI into a genuine partner for your work and life. We discuss: The story behind CARB Scan, the AI-powered app Morgan built to help his son manage diabetes How he uses AI to eliminate shallow work, like meeting recaps and email sorting Why designing prompts is a superpower—and Morgan’s framework for writing great ones The automation Morgan built to scan and summarise the entire AI/ML landscape every morning How to use AI as a true thought partner for brainstorming, strategy, and decision-making The risks of skipping human feedback and why real-world validation still matters Morgan’s advice for spotting your own hidden time sinks and turning them into AI experiments Key Quotes “LLMs aren’t the best search engine. They’re much better as a thought partner.” “The real leverage of AI isn’t the answers. It’s the better questions.” Connect with Morgan Brown on X (Twitter), LinkedIn, and his website https://www.morganbrown.co/ Check out Morgan’s book Hacking Growth. Get your hands on Morgan’s AI research prompt here. If you enjoyed this, listen to my episode with Bob Johansen - we talked about reframing AI as “augmented intelligence,” and it pairs beautifully with Morgan’s approach. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: The Podcast Butler See omnystudio.com/listener for privacy information.

In this episode, Lois Houston and Nikita Abraham are joined by Principal Instructor Yunus Mohammed to explore Oracle's approach to enterprise AI. The conversation covers the essential components of the Oracle AI stack and how each part, from the foundational infrastructure to business-specific applications, can be leveraged to support AI-driven initiatives.   They also delve into Oracle's suite of AI services, including generative AI, language processing, and image recognition.     AI for You: https://mylearn.oracle.com/ou/course/ai-for-you/152601/   Oracle University Learning Community: https://education.oracle.com/ou-community   LinkedIn: https://www.linkedin.com/showcase/oracle-university/   X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   -------------------------------------------------------------   Episode Transcript:  00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hey everyone! In our last episode, we discussed why the decision to buy or build matters in the world of AI deployment. Lois: That's right, Niki. Today is all about the Oracle AI stack and how it empowers not just developers and data scientists, but everyday business users as well. Then we'll spend some time exploring Oracle AI services in detail.  01:00 Nikita: Yunus Mohammed, our Principal Instructor, is back with us today. Hi Yunus! Can you talk about the different layers in Oracle's end-to-end AI approach? Yunus: The first base layer is the foundation of AI infrastructure, the powerful compute and storage layer that enables scalable model training and inferences. Sitting above the infrastructure, we have got the data platform. This is where data is stored, cleaned, and managed. Without a reliable data foundation, AI simply can't perform. So base of AI is the data, and the reliable data gives more support to the AI to perform its job. Then, we have AI and ML services. These provide ready-to-use tools for building, training, and deploying custom machine learning models. Next, to the AI/ML services, we have got generative AI services. This is where Oracle enables advanced language models and agentic AI tools that can generate content, summarize documents, or assist users through chat interfaces. Then, we have the top layer, which is called as the applications, things like Fusion applications or industry specific solutions where AI is embedded directly into business workflows for recommendations, forecasting or customer support. Finally, Oracle integrates with a growing ecosystem of AI partners, allowing organizations to extend and enhance their AI capabilities even further. In short, Oracle doesn't just offer AI as a feature. It delivers it as a full stack capability from infrastructure to the layer of applications. 02:59 Nikita: Ok, I want to get into the core AI services offered by Oracle Cloud Infrastructure. But before we get into the finer details, broadly speaking, how do these services help businesses? Yunus: These services make AI accessible, secure, and scalable, enabling businesses to embed intelligence into workflows, improve efficiency, and reduce human effort in repetitive or data-heavy tasks. And the best part is, Oracle makes it easy to consume these through application interfaces, APIs, software development kits like SDKs, and integration with Fusion Applications. So, you can add AI where it matters without needing a data scientist team to do that work.  03:52 Lois: So, let's get down to it. The first core service is Oracle's Generative AI service. What can you tell us about it?  Yunus: This is a fully managed service that allows businesses to tap into the power of large language models. You can actually work with these models from scratch to a well-defined develop model. You can use these models for a wide range of use cases like summarizing text, generating content, answering questions, or building AI-powered chat interfaces.  04:27 Lois: So, what will I find on the OCI Generative AI Console? Yunus: OCI Generative AI Console highlights three key components. The first one is the dedicated AI cluster. These are GPU powered environments used to fine tune and host your own custom models. It gives you control and performance at scale. Then, the second point is the custom models. You can take a base language model and fine tune it using your own data, for example, company manuals or HR policies or customer interactions, which are your own personal data. You can use this to create a model that speaks your business language. And last but not the least, the endpoints. These are the interfaces through which your application connect to the model. Once deployed, your app can query the model securely and at different scales, and you don't need to be a developer to get started. Oracle offers a playground, which is a non-core environment where you can try out models, craft parameters, and test responses interactively. So overall, the generative AI service is designed to make enterprise-grade AI accessible and customizable. So, fitting directly into business processes, whether you are building a smart assistant or you're automating the content generation process.  06:00 Lois: The next key service is OCI Generative AI Agents. Can you tell us more about it?  Yunus: OCI Generative AI agents combines a natural language interface with generative AI models and enterprise data stores to answer questions and take actions. The agent remembers the context, uses previous interactions, and retrieves deeper product speech details. They aren't just static chat bots. They are context aware, grounded in business data, and able to handle multi-turns, follow-up queries with relevant accurate responses, and driving productivity and decision-making across departments like sales, support, or operations. 06:54 Oracle University's Race to Certification 2025 is your ticket to free training and certification in today's hottest tech. Whether you're starting with Artificial Intelligence, Oracle Cloud Infrastructure, Multicloud, or Oracle Data Platform, this challenge covers it all! Learn more about your chance to win prizes and see your name on the Leaderboard by visiting education.oracle.com/race-to-certification-2025. That's education.oracle.com/race-to-certification-2025. 07:37 Nikita: Welcome back! Yunus, let's move on to the OCI Language service.  Yunus: OCI Language helps business understand and process natural language at scale. It uses pretrained models, which means they are already trained on large industry data sets and are ready to be used right away without requiring AI expertise. It detects over 100 languages, including English, Japanese, Spanish, and more. This is great for global business that receive multilingual inputs from customers. It works with identity sentiments. For different aspects of the sentence, for example, in a review like, “The food was great, but the service sucked,” OCI Language can tell that food has a positive sentiment while service has a negative one. This is called aspect-based sentiment analysis, and it is more insightful than just labeling the entire text as positive or negative. Then we have got to identify key phrases representing important ideas or subjects. So, it helps in extracting these key phrases, words, or terms that capture the core messages. They help automate tagging, summarizing, or even routing of content like support tickets or emails.  In real life, the businesses are using this for customer feedback analysis, support ticket routing, social media monitoring, and even regulatory compliances.  09:21 Nikita: That's fantastic. And what about the OCI Speech service?  Yunus: The OCI Speech is an AI service that transcribes speech to text. Think of it as an AI-powered transcription engine that listens to the spoken English, whether in audio or video files, and turns it into usable and searchable and readable text. It provides timestamps, so you know exactly when something was said. A valuable feature for reviewing legal discussions, media footages, or compliance audits. OCI Speech even understands different speakers. You don't need to train this from scratch. It is pre-trained model hosted on an API. Just send your audio to the service, and you get an accurate timestamp text back in return. 10:17 Lois: I know we also have a service for object detection… called OCI Vision?  Yunus: OCI Vision uses pretrained, deep learning models to understand and analyze visual content. Just like a human might, you can upload an image or videos, and the AI can tell you what is in it and where they might be useful. There are two primary use cases, which you can use this particular OCI Vision for. One is for object detection. You have got a red color car. So OCI Vision is not just identifying that's a car. It is detecting and labeling parts of the car too, like the bumper, the wheels, the design components. This is a critical in industries like manufacturing, retail, or logistics. For example, in quality control, OCI Vision can scan product images to detect missing or defective parts automatically.  Then we have got the image classification. This is useful in scenarios like automated tagging of photos, managing digital assets, classifying this particular scene or context of this particular scene. So basically, when we talk about OCI Vision, which is actually a fully managed, no complex model training is required for this particular service. It's available via API. It is also working with defining their own custom model for working with the environments. 11:51 Nikita: And the final service is related to text and called OCI Document Understanding, right? Yunus: So OCI Document Understanding allows businesses to automatically extract structured insights from unstructured documents like invoices, contracts, recipes, and also sometimes resumes, or even business documents. 12:13 Nikita: And how does it work? Yunus: OCI reads the content from the scanned document. The OCR is smarter. It recognizes both printed and handwritten text. Then determines what type of document it is. So document classification is done. Text recognition recognizes text, then classifies the document. For example, if this is a purchase order, or bank statement, or any medical report. If your business handles documents in multiple languages, then the AI can actually help in language detection also, which helps you in routing the language or translating that particular language. Many documents contain structured data in table format. Think pricing tables or line items. OCI will help you in extracting these with high accuracy for reporting on feeding into ERP systems. And finally, I would say the key value extraction. It puts our critical business values like invoice numbers, payment amounts, or customer names from fields that may not always allow a fixed format. So, this service reduces the need for manual review, cuts down processes time, and ensures high accuracy for your system. 13:36 Lois: What are the key takeaways our listeners should walk away with after this episode? Yunus: The first one, Oracle doesn't treat AI as just a standalone tool. Instead, AI is integrated from the ground up. Whether you're talking about infrastructure, data platforms, machine learning services, or applications like HCM, ERP, or CX. In real world, the Oracle AI Services prioritize data management, security, and governance, all essential for enterprise AI use cases. So, it is about trust. Can your AI handle sensitive data? Can it comply with regulations? Oracle builds its AI services with strong foundation in data governance, robust security measures, and tight control over data residency and access. So this makes Oracle AI especially well-suited for industries like health care, finance, logistics, and government, where compliance and control aren't optional. They are critical.   14:44 Nikita: Thank you for another great conversation, Yunus. If you're interested in learning more about the topics we discussed today, head on over to mylearn.oracle.com and search for the AI for You course.  Lois: In our next episode, we'll get into Predictive AI, Generative AI, Agentic AI, all with respect to Oracle Fusion Applications. Until then, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 15:10 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.  

David A. Noever and Forrest McKee are researchers at PeopleTec, where they work on problems at the intersection of security, defense, and AI/ML. Today David joined us to present their joint work Infecting Generative AI with Viruses. This was a really great presentation that took a rigorous approach to defining the security boundaries and limitations of AI tools, and it fostered one of the better discussions we've hosted in a while. We hope you enjoy it as much as we did!

Join Zachary Hanif, VP of Data and AI at Twilio, as he discusses the fundamental differences between building AI systems in regulated financial services versus communication platforms, drawing from his experience at Capital One to implement rigorous model governance frameworks that reduce maintenance costs while accelerating development timelines. Hanif addresses the critical balance between explainable AI and high-performing black box models, emphasizing that organizations must identify where their use cases fall on the explainability spectrum rather than applying blanket requirements. He explores privacy-by-design principles for real-time AI systems, the challenge of moving from proof-of-concept to production (with 80% of AI pilots failing), and provides a practical framework for successful AI implementation that includes clear objective criteria, close collaboration between technical teams and domain experts, and properly tempered expectations for experimental development timelines.

This episode dives into "Category-Theoretic Analysis of Inter-Agent Communication and Mutual Understanding Metric in Recursive Consciousness." The paper presents an extension of the Recursive Consciousness framework to analyze communication between agents and the inevitable loss of meaning in translation. We're thrilled to feature the paper's author, Stan Miasnikov, Distinguished Engineer, AI/ML Architecture, Consumer Experience at Verizon, to walk us through the research and its implications.Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.

Episode 815: Insurance companies rely on data to optimize performance, mitigate risk, and meet the rising expectations of consumers… but new questions are being raised about what happens when there's a lack of data or missing data?   On today's Unscripted… Neil Alldredge, president and CEO of NAMIC, sits down with Lindsey Klarkowski, policy vice president of data science, AI/ML, and cybersecurity at NAMIC, to better understand how insurers are tackling this emerging issue. Today's episode is sponsored by Holborn.

Medboard   EUROPE Guidance on the implementation of the Master UDI-DI - MDCG 2024-14 - rev.1 : https://health.ec.europa.eu/document/download/c8c6cca5-460e-410e-a325-be08bfc7dea6_en?filename=mdcg_2024-14_en.pdf Updated - Notified bodies survey on certificates under MDR and IVDR: https://health.ec.europa.eu/document/download/59b9d90e-be42-4895-9f6f-bec35138bb0a_en?filename=md_nb_survey_certifications_applications_en.pdf There's a significant backlog: far more applications submitted than certificates issued, especially for IVDs. Time for certification: between 13 to 18 months on average Delay due to application missing critical information and refusal due to submission outside NB scope No transparency on capacity Germany new radiation protection regulation - Start July 1st, 2025: https://www.bfarm.de/DE/Arzneimittel/Klinische-Pruefung/Strahlenschutz/_artikel.html?nn=986770If device emit radiation and need clinical investigation in germany: Include a radiation risk assessment in your clinical investigation dossier Coordinate with Radiation protection authorities Update investigator brochure and patient information Stricter Monitoring & Reporting Impact on Timelines So stricter documentation, more authorities involved and longer approval times   UK MHRA launches Route B notification pilot Clinical trials regulations rollout: https://www.gov.uk/government/news/mhra-launches-route-b-notification-pilot-as-part-of-clinical-trials-regulations-rollout  -  https://www.gov.uk/guidance/notify-mhra-about-a-clinical-investigation-for-a-medical-device   Switzerland New in Swissdamed - Medical Device registration with UDI Device Module: https://www.swissmedic.ch/swissmedic/en/home/medical-devices/medizinprodukte-datenbank/swissdamed-informationen/registrierung-mepprodukte-moeglich.html 1 july-2026   Magazine Easy Medical Device Mag - Your QA RA Magazine: https://mailchi.mp/easymedicaldevice/emdmag1   Podcast: Best 40 Medical Device Podcast - Thanks: https://www.millionpodcasts.com/Medical-Device-podcasts/   REST OF THE WORLD SaMD and/or Artificial Intelligence on the spotlight - All countries want their regulation on it:  USA: PCCP - https://www.fda.gov/regulatory-information/search-fda-guidance-documents/marketing-submission-recommendations-predetermined-change-control-plan-artificial-intelligence SFDA: Workshop September 9th: https://www.sfda.gov.sa/en/workshop/4387139 TGA: Understanding regulation of software-based medical devices: https://www.tga.gov.au/resources/guidance/understanding-regulation-software-based-medical-devices#samd-and-ai-medical-device-compliance SAHPRA: Regulatory Requirements of AI/ML: https://www.sahpra.org.za/document/regulatory-requirements-of-artificial-intelligence-and-machine-learning-ai-ml-enabled-medical-devices/ Medical Device or Wellness device - Choose your side: https://www.sfda.gov.sa/sites/default/files/2025-08/MDS-G027.pdf  

There are very few people like Stephen Brobst, a legendary tech CTO and "certified data geek," Stephen shares his incredible journey, from his early days in computational physics and building real-time trading systems on Wall Street to becoming the CTO for Teradata and now Ab Initio Software. Stephen provides a masterclass on the evolution of data architecture, tracing the macro trends from early decision support systems to "active data warehousing" and the rise of AI/ML (formerly known as data mining). He dives deep into why metadata-driven architecture is critical for the future and how AI, large language models, and real-time sensor technology will fundamentally reshape industries and eliminate the dashboard as we know it. We also chat about something way cooler, as Stephen discusses his three passions: travel, music, and teaching. He reveals his personal rule of never staying in the same city for more than five consecutive days since 1993 and how he manages a life of constant motion. From his early days DJing punk rock and seeing the Sex Pistols' last concert to his minimalist travel philosophy and ever-growing bucket list, Stephen offers a unique perspective on living a life rich with experience over material possessions. Finally, he offers invaluable advice for the next generation on navigating careers in an AI-driven world and living life to the fullest.

As India charts its trajectory to build in-house AI/ ML capabilities, data centres emerge, quite literally, as central to the ecosystem-building exercise. What role must industry play to bring capabilities home? How do challenges pertaining to power transmission and renewability affect data centre operations?Tune into this episode of 'All Things Policy', wherein Anushka Saxena quizzes Anwesha Sen on the nitty-gritty of India's AI Data Centre ecosystem, to know.Do not forget to participate in Takshashila's 2025 China Challenge Survey, which is your way to have a say in defining India's perception of Beijing. Link: bit.ly/ChinaSurvey2025.All Things Policy is a daily podcast on public policy brought to you by the Takshashila Institution, Bengaluru.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Find out more on our research and other work here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://takshashila.org.in/research-areas⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out our public policy courses here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://school.takshashila.org.in⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Healthcare payments consume between $650 billion and $1 trillion annually in billing and insurance-related costs—an amount comparable to the entire U.S. Defense Department budget. At the heart of this staggering inefficiency lies a fundamental problem: when patients receive care, nobody actually knows in real-time whether the insurance will pay for it. Mike Desjadon, CEO of Anomaly, spent nearly two decades in healthcare payments before building a company to solve this core issue. In this episode, we explore how Anomaly is creating "payment assurance" for healthcare—bringing the same real-time payment certainty that exists everywhere else in commerce to an industry desperately in need of it. Topics Discussed: The massive scale of healthcare billing costs and why precision is impossible at this scale How the complex coding system (ICD, CPT, revenue codes) creates a "ridiculous Rubik's Cube" of payment determination Why healthcare lacks payment assurance while every other industry has real-time payment certainty The fundamental information asymmetry between providers and insurers that drives administrative waste Anomaly's approach to using AI and machine learning to predict payment outcomes early in the care process The strategic decision to focus exclusively on providers rather than serving both sides of the market   GTM Lessons For B2B Founders: Avoid "Annual Curiosity Revenue" in favor of deep customer relationships: Mike warns against chasing what he calls "ACR" - contracts driven by curiosity about new technology rather than real value. Instead of racing to accumulate surface-level customers, Anomaly focuses on 1-5 anchor customers where they forward-deploy engineers and dedicate leadership attention. As Mike explained, "I'd rather take a much smaller amount of those trusted pitches... find me 10 of the right conversations, don't find me a hundred surface level conversations." In healthcare's 14-month sales cycles, shallow relationships burn runway without building sustainable growth. Match your go-to-market strategy to industry realities, not investor expectations: Healthcare's long sales cycles and conservative nature require a fundamentally different approach than traditional SaaS growth models. Mike structured Anomaly's capital and hiring strategy around 14-month sales cycles rather than trying to compress them. "If you know that it's a 14 month sales cycle... being realistic about those timeframes and those capital structures, you just make sure your plan on burn matches your plan on strategy." This meant hiring customer success and engineering talent before traditional sales roles, aligning team composition with the actual customer adoption process. Segment ruthlessly based on transformation readiness: Not every healthcare organization is ready for transformative technology. Mike emphasizes the critical need to identify whether prospects are "looking for transformation" versus "looking to automate an isolated process." He shares that distinguishing between these segments determines the entire sales approach. Organizations seeking transformation are willing to work through implementation complexity for substantial outcomes, while those seeking automation want predictable, incremental improvements. Misreading this distinction leads to failed sales cycles and misaligned product development. Use forward-deployed engineering as a competitive advantage: Rather than traditional customer success managers, Anomaly deploys engineers directly to customers during implementation. This approach proves particularly valuable in AI/ML applications where the technology is rapidly evolving and customer needs aren't fully defined. Mike notes, "Having engineers in that has been hugely valuable for us because we're able to really quickly deliver value, very quickly deliver outsized value." This strategy enables rapid iteration, builds deeper technical trust, and often leads to expanded contracts through demonstrated capability rather than traditional sales pitches. Build category credibility through case studies, not connections: In healthcare, having impressive investors or warm introductions matters far less than demonstrating proven results with known organizations. Mike emphasizes, "What you need in healthcare is slapping six case studies down the desk... show me the six organizations that I know that you work with that are going to tell me I should work with you." This insight drives Anomaly's entire early-stage strategy—prioritizing customer success and measurable outcomes over rapid customer acquisition, building the credibility foundation needed for future sales acceleration.     //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co   //   Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM 

Guests are Clayton Coleman and Rob Shaw. Clayton is a Core contributor to Kubernetes, the containerized cluster manager, and founding architect for OpenShift, the open source platform as a service. Clayton helped launch the shift to cloud native applications and the platforms that enable them. At Google my mission is to make Kubernetes and GKE the best place to run workloads, especially accelerated AI/ML workloads, and especially especially very large model inference at scale with the inference gateway and llm-d. Rob Shaw is an Engineering Director at Redhat and is a contributor to the vLLM project.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week Kubernetes 1.34 is expected to release end of August Kubecrash.io: A platform Eng conference with a purpose CNCF top 30 project of 2025 Links from the interview LLM-D KubeCon EU 25 Keynote: LLM-Aware Load Balancing in Kubernetes WG Serving vLLM Disaggregated Prefilling LWS: LeaderWorkerSet

Haseeb Budhani (@haseebbudhani, CEO @rafaysystemsinc) discusses the evolution from traditional DevOps to platform engineering and what "Enterprise Ready" Kubernetes looks like in 2025. We explore AI workloads running on Kubernetes and how modern orchestration solutions can transform teams from bottlenecks into enablers. We also cover the security considerations for GPU-enabled AI workloads and balancing developer self-service capabilities with proper governance and control.SHOW: 950SHOW TRANSCRIPT: The Cloudcast #950 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:Rafay websiteTopic 1 - Welcome to the show, Haseeb. Give everyone a quick introduction.Topic 2 - Let's start by talking about the evolution of Kubernetes as a platform. You've said and we've talked about on this show for some time how Kubernetes is more of a platform to run platforms. We've also seen trends in the industry and shifts in what it means to be DevOps or Platform Engineering in recent years. You've positioned Rafay as a Kubernetes Operations Platform that's now evolved into a Cloud Automation Platform. How do you define the difference between Kubernetes management and true platform engineering?Topic 3 - What does “Enterprise Ready” Kubernetes look like in 2025?Topic 4 - Let's flip over to AI/ML and GPUs with Kubernetes for a bit. Many developers and data scientists aren't aware of the underlying platform they run on. I saw a stat recently that about 95% of AI runs on Kubernetes, either on-prem or in the cloud. Despite this, Platform teams are often stuck doing manual GPU provisioning, which doesn't scale with AI adoption. How do modern GPU orchestration solutions change the platform team's role?Topic 5 - With GPU workloads often handling sensitive data and AI models, security becomes even more critical. How should organizations approach security and compliance in their GPU-enabled Kubernetes operations?Topic 6 - "Most developers don't want to write YAML or manage clusters — they just want to ship software." How do you balance giving developers the self-service capabilities they want while maintaining the control and governance that platform teams need?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Three months after taking heat over an error-riddled first report, Health Secretary Robert F. Kennedy's Make America Healthy Again Commission was due to submit a new strategy report to President Donald Trump last week. While the report is delayed—for disputed reasons— Politico obtained a draft copy, which homes in on creating a new vaccine framework and streamlining access to investigational drugs, specifically for children. The new strategy also touches on pharma lobbying, with plans to address alleged conflicts of interest within HHS—which, incidentally, a new JAMA study found have dropped dramatically over the past 25 years. In other HHS news, Kennedy is reviving the Task Force on Safer Childhood Vaccines—which has been dormant for 30 years, and the secretary voiced his support of mRNA vaccines for cancer.   Meanwhile, weight loss continues to coral the headlines. Viking Therapeutics reported greater than 12% weight loss after 13 weeks for its obesity pill VK2735, but tolerability tanked the biotech's stock. As Viking, Eli Lilly and Novo Nordisk begin to report data from these oral options, manufacturing comes into focus, and Novo's pending approval of an oral form of Wegovy specifically puts the spotlight on the variability of high-dose peptides.  Speaking of Novo, the Danish pharma appears to be sucking in some oxygen after a difficult run. Last week, the FDA approved Wegovy as just the second drug for metabolic dysfunction-associated steatohepatitis (MASH), and on Monday, Novo teamed up with GoodRx to offer Wegovy and Ozempic and $499 per month if patients skip insurance. Not to be outdone, fellow weight loss warrior Lilly announced a $1.3 billion partnership with AI/ML startup Superluminal Medicines to advance new small molecules for cardiometabolic diseases and obesity. Lilly has also been active on the policy front, saying that it will soon announce higher prices for its drugs in markets like Europe in an effort to “align prices across developed countries.”  Always a contentious topic, pricing plays a key role in why the pharmaceutical industry fails to command the same respect as steelworkers or other all-American pursuits. Also in BioPharm Executive this week, BioSpace takes a deep dive into how the Trump administration is using Most Favored Nation pricing to target pharma companies and pursue a broader trade war.  

Good morning from Pharma and Biotech Daily: the podcast that gives you only what's important to hear in Pharma and Biotech world.Eli Lilly has invested $1.3 billion in a partnership with Superluminal, an AI/ML startup focusing on endocrine and cardiometabolic diseases to develop new small molecule obesity medications. Schrodinger has discontinued the development of an early-stage blood cancer drug after two patient deaths. Trump has delayed pharma tariffs citing other priorities. RFK Jr. has been criticized for canceling Barda contracts related to mRNA vaccine research, leading to more vaccine misinformation. Genscript announces a new era of innovation and trust. Other news includes Vedanta downsizing, Abata shutting down.

August 12, 2025 | Diagonal Therapeutics founder and CEO Alexey Lugovskoy discusses the key lessons learned over his illustrious career, starting from his childhood in the Soviet Union to founding his own company, Diagonal Therapeutics. With host Tariq Ghayur, Lugovskoy shares insights gained from working with organizations of different sizes, taking on the obstacles of building a pipeline, and integrating AI/ML into discovery programs, as well as his most memorable achievement—and most memorable failure. He also offers advice to young scientists and entrepreneurs, emphasizing the importance of challenging problems and surrounding yourself with the right people. 

This week on DisrupTV, we interviewed: - Sanjib Sahoo, President, Global Platform Group at Ingram Micro - Tim Christophersen, Vice President, Climate Action at Salesforce, Author of Generation Restoration, & Board Member Ingram Micro is betting big on AI to power its next chapter. Sanjib revealed that the company's X Vantage platform weaves AI into every stage of the business, slashing operating costs and speeding up go-to-market strategies. With 400 AI/ML models trained on 4 petabytes of data, the shift is already driving major revenue gains. On a different front, Tim called for a generational reset in our relationship with nature, pointing to AI's potential to boost ecological literacy and accelerate large-scale restoration. DisrupTV is a weekly podcast with hosts R "Ray" Wang and Vala Afshar. The show airs live at 11 AM PT/ 2 PM ET every Friday. Brought to you by Constellation Executive Network: constellationr.com/CEN.

This episode is a crossover with our friends at the SRE Prodcast. Kaslin joined Ben Good and Steve McGhee to talk about Kubernetes for Platform Engineering.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week Kubernetes 1.34 Sneak Peak Upcoming changes to the Bitnami catalog (effective August 28th, 2025) Amazon EKS enables ultra scale AI/ML workloads with support for 100K nodes per cluster CNCF Cloud Native Glossary   Links from the interview Backstage DORA Metrics

In this episode, we're joined by Amber Knight from BookingsCloud to talk advertising, marketing teams, budget, AI/ML, targeting and a LOT more!Enjoy!⭐️ Links & Show NotesAdam NorkoConrad O'ConnellAmber KnightBookingsCloudEditor's note: we had some minor audio issues during recording. 

It was time to get Frank Denneman back on the show to discuss the enhancements introduced in VCF 9 and Private AI Foundation with NVIDIA. Frank goes over all new functionality and all the enhancements like Agent Builder etc. Frank also mentioned various must-attend sessions at Explore. Register now, as these will fill up fast:Chris Wolf, keynote and breakout!Shawn Kelly and Justin Murray: Accelerating AI WorkloadsFrank's AI/ML sessions!Disclaimer: The thoughts and opinions shared in this podcast are our own/guest(s), and not necessarily those of Broadcom, or Google.

In this conversation, Jakub shares his insights on the evolution of AI in finance, emphasizing the importance of specialized AI agents and the need for a robust infrastructure. He discusses his transition from corporate life to entrepreneurship, highlighting the challenges and rewards of building a startup. Jakub also offers practical advice on team dynamics, customer acquisition, and learning AI, stressing the significance of being customer-obsessed and the need for continuous learning and adaptation in the fast-paced tech landscape. Episode # 160 Today's Guest: Jakub Polec, Head of Quant, AI/ML Research Manager for Systematic Strategies, Quant Journey He has over 23 years of experience in IT and finance, excelling in regional leadership roles at Oracle, Microsoft, France Telecom, T-Mobile, and in hedge funds. He combines a strong scientific background from the University of Warsaw and CERN with deep tech expertise. As an entrepreneur, he has successfully launched, scaled, and exited ventures in AI/ML, MLOps, NLP, and e-commerce. Website: Quant Journey Youtube: Quant Journey What Listeners Will Learn: AI in finance requires specialized agents for better results.  Building a business around AI is more about organization than technology. Startup teams should balance experience with passion. Customer obsession is key to success in any business. Bootstrapping can lead to faster product development. Learning AI should be practical and application-focused. Engaging with the community can enhance learning. AI can automate many tasks traditionally done by humans. Effective leadership inspires and empowers teams. The landscape of technology is rapidly changing, making it easier to innovate. Resources: Quant Journey

Is your nonprofit still buried in paper forms and outdated systems? In this episode, I sit down with Patrick Waldo—AI and SaaS innovator and CEO of Unicorn Forms—to talk about the real risks and opportunities around e-signatures, data security, and going digital. From board agreements to grant paperwork and beyond, we explore how even small nonprofits can make a big leap into smarter, safer, and more accessible systems. If you're tired of chasing signatures and retyping forms, you need this conversation. Episode Highlights 05:20 - E-sign solutions and nonprofit needs 01:16 - Nonprofit Paperwork Challenges with Patrick Waldo 06:27 - E-signatures: Legal Basics & Security 13:14 - Digital Transformation & Real-World Examples 22:48 - Data, Analytics & The Future of Nonprofit Tech Meet the Guest My guest for this episode is Patrick Waldo. Patrick Waldo, CEO, is a seasoned technology leader with over 15 years of experience developing AI/ML and data analytics SaaS solutions adopted by the Fortune 500. As CEO of UnicornForms, Inc., he's on a mission to make paperwork frictionless through innovative form and document management. Previously, he served as VP of Product at Decernis, where he drove product development, led technical due diligence through two PE acquisitions, and secured two patents in AI/ML and NLP. At FoodChain ID, he led post-merger integration strategies, and at Redica Systems, he oversaw FDA analytics and monitoring for the pharmaceutical industry. Waldo holds master's degrees from Carnegie Mellon University and the University of Bologna, with expertise in IT, management, policy, and economics. He holds a Bachelor's degree from Grinnell College. Connect with Patrick: Web: https://www.unicornforms.com LinkedIn: https://www.linkedin.com/company/unicornforms Instagram: http://instagram.com/unicornforms Facebook: http://facebook.com/unicornforms Sponsored Resource Join the Inspired Nonprofit Leadership Newsletter for weekly tips and inspiration for leading your nonprofit! Access it here >> Be sure to subscribe to Inspired Nonprofit Leadership so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated! Let us know the topics or questions you would like to hear about in a future episode. You can do that and follow us on LinkedIn.

Podcast: PrOTect It All (LS 26 · TOP 10% what is this?)Episode: Lessons Learned in OT Security: Regulation, Collaboration, and the Rise of AI Threats with Kam Chumley-SoltaniPub date: 2025-07-28Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationIn this episode, host Aaron Crow is joined by Kam Chumley-Soltani, Director of OT Security at Armis, for a candid conversation that dives into the ever-evolving landscape of OT (operational technology) and IT cybersecurity. After several rescheduling attempts across time zones and even parking lots, Aaron and Kam finally sit down to share their frontline experiences and insights from the world of critical infrastructure security. From the increasing visibility of OT threats and the surge in regulatory requirements, to the convergence of IT and OT teams, they dig into what's driving organizations to prioritize real-time visibility, risk management, and collaboration. Kam reflects on his diverse background in the military, at Cisco, Dragos, and now Armis, while Aaron draws on decades of experience leading teams across power plants and utilities in Texas. They both underscore the importance of people, process, and technology - reminding us that even the best tools are only as valuable as the teams that wield them. The discussion explores the challenges smaller utilities face, balancing regulation with limited resources, and the need for cyber-informed engineering from the very start. Plus, they look ahead at the role of AI in cybersecurity, the daisy-chain effects of infrastructure attacks, and the importance of community and continuous learning in keeping ahead of the curve. Whether you're a cybersecurity veteran, just breaking into OT, or simply want to understand why your electricity bill matters, this episode is packed with anecdotes, practical advice, and a few laughs. So pull up a chair and get ready to protect it all! Key Moments:  03:18 Cybersecurity Developments and Regulatory Changes 06:33 Demand for Consulting and Assessments 09:51 Future of Regulation and Community 13:06 Regulating Small Utilities Challenges 16:41 Cybersecurity in Critical Infrastructure 19:43 Simplifying Complex Issues for All 26:12 Embracing AI in Cybersecurity 27:39 "Embrace Challenges, Educate Yourself" 30:14 Cybersecurity Threats to Infrastructure 34:29 Evaluating Automated Alerting Systems 39:38 Controlled Network Configuration Risks 42:10 Underfunded Team: Multi-Skill Necessity 45:31 "Collective Progress and Contribution" 48:13 "Geopolitical Threats to Infrastructure" About the guest :  Kam Chumley-Soltani serves as the Director of OT Solutions Engineering for the U.S. Public Sector at Armis, where he specializes in industrial cybersecurity. His expertise lies in designing secure and resilient network architectures for critical infrastructure environments. Previously, Kam led Cisco's OT Solutions Engineering team for the entire U.S. Public Sector, delivering end-to-end solutions across IoT/OT security, network architecture, diverse RF wireless deployments, embedded systems, and edge computing. He has guided numerous global enterprises, federal agencies, and SLED organizations in architecting solutions that incorporate robust networking, cybersecurity controls, advanced threat detection, and proactive vulnerability management. A Navy veteran, Kam served as a flight systems engineer and mission operations planner. He holds a B.S. in Cyber Operations from the United States Naval Academy, an M.S. in Cybersecurity from Brown University, and an M.B.A. from Northwestern University's Kellogg School of Management. He is currently pursuing his Doctor of Engineering (D.Eng.) in AI/ML from George Washington University.  How to connect Kam:  Linkedin: https://www.linkedin.com/in/kam-chumley-soltani/ Connect With Aaron Crow: Website: www.corvosec.com  LinkedIn: https://www.linkedin.com/in/aaronccrow   Learn more about PrOTect IT All: Email: info@protectitall.co  Website: https://protectitall.co/  X: https://twitter.com/protectitall  YouTube: https://www.youtube.com/@PrOTectITAll  FaceBook:  https://facebook.com/protectitallpodcast    To be a guest or suggest a guest/episode, please email us at info@protectitall.co   Please leave us a review on Apple/Spotify Podcasts: Apple   - https://podcasts.apple.com/us/podcast/protect-it-all/id1727211124 Spotify - https://open.spotify.com/show/1Vvi0euj3rE8xObK0yvYi4The podcast and artwork embedded on this page are from Aaron Crow, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Episode 22 — AI, ML, and the evolving role of the NDT inspectorOur Guest: Lennart Schulenburg - CEO, VisiConsultIn this episode of the NDE 4.0 podcast, we we welcome back Lennart Schulenburg as our guest to discuss the main drivers of AI and ML adoption in NDT, safety and accountability in AI-driven inspection systems, and the changing role of the inspector.

What happens after AI helps you write code faster? You create a bottleneck in testing, security, and operations. In part two of their conversation, SADA's Simon Margolis and Google Cloud's Ameer Abbas tackle this exact problem. They explore how Google's AI strategy extends beyond the developer's keyboard with Gemini Code Assist and Cloud Assist, creating a balanced and efficient software lifecycle from start to finish. We address the burning questions about AI's impact on the software development ecosystem: Is AI replacing developers? What does the future hold for aspiring software engineers? Gain insights on embracing AI as an augmentation tool, the concept of "intentional prompting" versus "vibe coding," and why skilled professionals are more crucial than ever in the enterprise. This episode offers practical advice for enterprises on adopting AI tools, measuring success through quantitative and qualitative metrics, and finding internal champions to drive adoption. We also peek into the near future, discussing the evolution towards AI agents capable of multi-step inferencing and full automation for specific use cases. Key Takeaways: Gemini Code Assist: AI for developer inner-loop productivity, supporting various IDEs and SCMs. Gemini Cloud Assist: AI for cloud operations, cost optimization, and incident resolution within GCP. AI's Role in Development: Augmentation, not replacement; the importance of human agency and prompting skills. Enterprise Adoption: Strategies for integrating AI tools, measuring ROI, and fostering a culture of innovation. The Future: Agents with multi-step inferencing, automation for routine tasks, and background AI processes. Relevant Links: Blog: A framework for adopting Gemini Code Assist and measuring its impact Gemini Code Assist product page Gemini Cloud Assist product page Listen now to understand how AI is shaping the future of software delivery! Join us for more content by liking, sharing, and subscribing!

In this episode, hosts Lois Houston and Nikita Abraham welcome back Cloud Delivery Lead Sarah Mahalik for a detailed tour of the four pillars of Oracle Fusion Cloud Applications: ERP, HCM, SCM, and CX.   Discover how Oracle weaves AI, analytics, and automation into every layer of enterprise operations. Plus, learn how Oracle Modern Best Practice is redefining digital workflows.   Oracle Fusion Cloud Applications: Process Essentials https://mylearn.oracle.com/ou/course/oracle-fusion-cloud-applications-foundation-hcm/146870 https://mylearn.oracle.com/ou/course/oracle-fusion-cloud-applications-foundations-enterprise-resource-planning-erp/146928/241047 https://mylearn.oracle.com/ou/course/oracle-fusion-cloud-applications-foundation-scm/146938 https://mylearn.oracle.com/ou/course/oracle-fusion-cloud-applications-foundation-cx/146972   Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. ------------------------------------------------------------- Episode Transcript:   00:00   Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started!   00:25   Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and joining me is Nikita Abraham, Team Lead: Editorial Services.     Nikita: Hi everyone! Last week, we spoke about Oracle Cloud Apps and the Redwood design system. Today, we'll take a closer look at the four key pillars of Oracle Cloud Apps.    Lois: And we're so excited to have Sarah Mahalik back with us. Sarah is a Cloud Delivery Lead here at Oracle. Hi Sarah! In the last episode, we briefly spoke about the various Oracle Cloud Apps offerings and their capabilities. For anyone who missed that episode, can you give us a quick introduction?   01:06   Sarah: Oracle Cloud Applications is an incredibly broad suite that covers many of the most important business functions, from Human Capital Management, Supply Chain Management, to Enterprise Resource Planning and Customer Experience. The products in the Oracle Fusion Cloud Applications suite are organized by functional groups or pillars. All of these applications sit on Oracle Cloud Infrastructure, a foundation built from scratch to support mission-critical applications.    Oracle Fusion Applications deliver a single source of truth, enabling quick responses to disruptions and market opportunities. With unified data and consistent business rules, teams can build streamlined end-to-end processes, access real time analytics, and make faster data-driven decisions for improved outcomes.   01:52   Nikita: Ok, let's actually get into each of these areas. I think we can start with Human Capital Management.   Sarah: Oracle Human Capital Management is an end-to-end solution that allows you to manage all aspects of people data from hire to retire. It all starts with recruiting, or requisitions are used to advertise vacant positions, and candidates are managed through the hiring process. After recruitment, successful candidates are transferred to the human resources module.   You can configure the organization structure to mirror that of your business. And this allows for easy reorganization whenever the structure changes. People data is a staple element of HCM. Therefore, as part of this product, an HR specialist can manage everything about the employee life cycle, including promotions, transfers, general assignment changes, and terminations.   A robust self-service offering allows employees and managers to take ownership and responsibility for the data pertaining to themselves and their teams. By removing the burden of simple data processing from the HR specialists, it not only eases the pressure on the HR department but allows them to concentrate on more specialized tasks.   03:00   Lois: And how are the core products of HCM categorized?   Sarah: The core products of Human Capital Management are categorized into four main groupings according to their logical purpose. First up, we have our human resources. This grouping includes the elements for implementing and maintaining the enterprise and workforce structure and employee life cycle data. This is where you would configure the organization structure as well as manage an employee's data from the HR specialist point of view. In addition, modules such as benefits, work life, workforce modeling and planning, and advanced HCM controls also sit within this category.   This brings us to talent management. This category is one of the largest because it includes recruiting, learning, goals and performance management, career development, succession planning, talent reviews, and compensation. In addition to that, dynamic skills and opportunity marketplace are also included in this grouping. Within workforce management, you'll find absence management and time and labor.   These naturally sit together because most organizations that implement both configure it so that an employee can enter both work time and absences on a time card, instead of having to visit two different entry points. You'll also find workforce health and safety here. And finally, payroll. All aspects of payroll are included here, whether you're simply using global payroll or localizations, such as UK, Canada, and Mexico.   It also encompasses payroll interface for those organizations that run their payroll from another system, and just need to extract and migrate the relevant data from Fusion HCM Cloud. When talking about HCM systems, we cannot forget the employee self-service aspect of the product. For this, there's an employee experience module called Oracle Me. Here you'll find options, such as HCM communicate, touchpoints, journeys, HR help desk, and Oracle digital assistant.   All of these combined enable an employee to take control and ownership of their own data, and use the many self-help options to get the information they need quickly and efficiently. In order to control how the system behaves and how users interact with it and perform the various processes, there are configuration options. These options allow organizations to define such things as the user experience, workflows, and approval policies based on their business requirements. And to meet the constant need for reporting, there's analytics, planning, and data modeling.   And in addition to all of that, you can use configuration options, such as extensibility, integration, or import and extracts, security, and adaptive intelligence to help enhance the system and have it working and looking the way you need. Of course, much of these latter configuration items are not exclusive to HCM but are available for the Oracle Fusion Cloud as a whole.   05:47   Lois: That's great. Ok, let's move on to Oracle Enterprise Resource Planning, or ERP.   Sarah: This is a complete modern Cloud ERP suite that provides your teams with advanced capabilities, such as AI, to automate the manual processes that slow them down, analytics to react to market shifts in real time, and automatic updates to stay current and gain a competitive advantage.   Oracle Cloud ERP automates the entire Record to Report process and provides a common repository of information for global financial reporting and compliance. Within ERP, we have the broadest and deepest suite offering everything you need, from financials, project management, enterprise performance management, risk management and compliance, and analytics.    06:34   Nikita: Sarah, could you break down the different modules within ERP?   Sarah: First, we have Financials, which is a global financial platform that connects and automates your financial management processes, including payables, receivables, fixed assets, expenses, and reporting for a clear view into your total financial health. Oracle Project Management offers a single project cloud solution designed to help you gain a complete picture of your organization's project finances and operations. It's seamlessly integrated across the enterprise with the Oracle Fusion Cloud ERP, HCM, and SCM applications.   Oracle Fusion Cloud Enterprise Performance Management, or EPM, helps you model and plan across finance, HR, supply chain and sales, streamline the financial close process, and drive better decisions. Oracle Fusion Cloud Risk Management and Compliance is a security and audit solution that controls user access to your Oracle Cloud ERP financial data, monitors user activity, and makes it easier to meet compliance regulations through automation.   Oracle Risk Management Compliance uses AI and ML to strengthen financial controls to help prevent cash leaks, enforce audit, and protect against emerging risks, saving you hours of manual work. Oracle Analytics for Cloud ERP complements the embedded analytics in Cloud ERP to provide pre-packaged use cases, predictive analysis, and KPIs based on variance analysis and historical trends.    08:06   Lois: And what about Supply Chain Management?   Sarah: Oracle Supply Chain Management empowers organizations to plan, source, make, deliver, and service goods with agility and resilience. It offers a solution that integrates advanced capabilities, such as AI/ML and blockchain, to optimize the supply chain life cycle from start to finish.   08:31   Adopting a multicloud strategy is a big step towards future-proofing your business and we're here to help you navigate this complex landscape. With our suite of courses, you'll gain insights into network connectivity, security protocols, and the considerations of working across different cloud platforms. Start your journey today to multicloud today by visiting mylearn.oracle.com.    08:58   Nikita: Welcome back! Sarah, what makes Oracle Fusion SCM so powerful?   Sarah: When it comes to planning, you can leverage strategic, tactical, and operational processes for accurate forecasting and resource alignment. Sourcing and manufacturing help you streamline procurement and production to meet supply and demand efficiently. Inventory and warehousing processes ensure the right goods are available, stored, and managed effectively.   Fulfillment is also known as the pick, pack, and ship part of the supply chain and delivery entails order tracking and receipt. Having connected processes in place ensures that billing and revenue recognition are applied correctly on the goods and services. Great customer service models provide accurate tracking of customer orders and deliveries. And this can provide insight for an accurate picture of future planning, manufacturing, and inventory forecasts. This is a constant cycle because information and analytics feed into the planning process.   Oracle Supply Chain Management is designed to seamlessly integrate and optimize every step of the supply chain process, ensuring businesses can adapt to dynamic market conditions and customer expectations. The solution supports end-to-end supply chain processes and leverages cutting-edge technologies to transform how organizations manage their operations.   In planning, Oracle SCM empowers businesses with advanced planning tools to align supply and demand effectively. Sourcing and manufacturing assists in streamlining procurement and manufacturing workflows to drive efficiency. Inventory and warehousing optimizes inventory and warehouse management processes with intelligent capabilities.   Fulfillment delivery helps to accelerate order fulfillment and delivery operations to meet customer needs. And servicing allows you to maintain strong customer relationships through seamless post-sale servicing. Oracle SCM ensures an agile and resilient supply chain with the help of technologies like AI, ML, and blockchain. These tools empower organizations to stay competitive in a fast-paced environment while exceeding customer expectations.   11:03   Lois: To round out our discussion, let's talk about Oracle Customer Experience.   Sarah: Customer Experience, or CX, provides the platform and products necessary to capture all customer touch points and interactions. This platform also automates the business process from interest and lead generation to the sale and provision of products and services. The major product areas are marketing, sales, service, and CX platform.    11:32   Nikita: Could you dive a bit deeper into its key areas?   Sarah: Oracle Marketing solutions allow you to create targeted cross-channel marketing campaigns, optimize lead generation activities, personalize customer and prospect communication, and automate marketing activities. Use real-time data-driven insights to engage, convert, and nurture buyer relationships to increase sales. Featured products include Eloqua Marketing Automation, Responsys Campaign Management, CrowdTwist Loyalty and Engagement, Infinity Behavioral Intelligence, Unity Customer Data Platform, and more.   With Oracle Sales, you can deliver responsive selling across all touchpoints. Oracle Sales guides sellers with intelligent recommendations and gives them a faster path to critical records to help them focus on the right prospects at the right time. The modern, unified selling and buying approach of Oracle CX connects sales and commerce to service, marketing, and the entire customer experience. Featured products include Salesforce Automation, Sales Planning, Sales Performance Management, Configure, Price, and Quote, Subscription Management, Partner Relationship Management, and Customer Data Management.   Oracle Service enables you to help customers when and where they need you with automated workflows for customer self-service, agent-assisted service, and Field Service engagements. You can accelerate the resolution of service issues with AI-driven recommendations, unified data visibility, and cross-organization and cross-channel collaboration tools.   At Oracle, we make every customer interaction matter by using a suite of CX Cloud applications that connect marketing, sales, customer service, Field Service, and e-commerce. Oracle connects our customer experience systems with finance, supply chain, and HR on a unified cloud platform for a single, dynamic 360-degree view of the customer.   13:31   Lois: Before we wrap up, how does Oracle Modern Best Practice, or OMBP, fit into Oracle Cloud Apps?   Sarah: OMBP illustrates common business processes optimized to leverage the latest applications and technologies in Oracle Fusion Applications.   Oracle Modern Best Practice comprises reimagined industry standard business processes powered by Oracle technology. Engineered into Fusion Applications, OMBP simplifies and streamlines workflows, enabling organizations to leverage modern, efficient, and scalable practices. As we align more assets with OMBP, there will be a stronger connection between global process owners and business process innovation within a customer's organization.   OMBP was derived from over 10,000 successful delivery projects. To publish an OMBP, past Oracle projects were analyzed for successful and unsuccessful processes. Successful processes were reviewed and optimized by product experts, engineers, customers, and key users. Optimized processes were published to OMBP to make them available to other customers.   14:40   Lois: Well, that's it for this episode. Thank you, Sarah, for all of your incredible insights.    Nikita: If you want to learn more about what we discussed today, head over to mylearn.oracle.com and take a look at the Oracle Fusion Cloud Applications Process Essentials courses. Until next time, this is Nikita Abraham…   Lois: And Lois Houston, signing off!   15:01   That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.  

As long-time listeners will know, I love the consumer lending space. So, I am delighted to welcome back to the podcast Matt Potere, the CEO of Happy Money, a position he has held since September 2024. Previously, Matt served as CEO of Sunlight Financial, which he took public via SPAC in 2021. With decades of experience in consumer finance across multiple asset classes, Matt brings deep expertise in credit cycles, risk management, and building successful lending platforms.In this episode, we discuss what differentiates Happy Money, their focus on credit unions, how they approach technology and underwriting, their big new forward flow agreement, the state of the consumer today, their use of AI, why culture is so important and much more.In this podcast you will learn:What attracted Matt to the opportunity at Happy Money.How he describes Happy Money today.What he learned leading Sunlight Financial that helps at Happy Money.Why they have focused on partnering with credit unions.Who is the typical customer coming to Happy Money.How their origination process works with their credit union partners.How they are using automation and AI/ML in their underwriting.Matt's perspective on the state of the US consumers.The primary use cases for a Happy Money loan.How they differentiate themselves from other fintech lenders.Matt's approach to scaling a lending business.How they are using AI tools in their operation.How the $500 million deal with Fortress and Edge Focus came together.What are his thoughts on an IPO.Matt thoughts about adding new products to personal loans.What they are focused on for the next 12 months.Connect with Fintech One-on-One: Tweet me @PeterRenton Connect with me on LinkedIn Find previous Fintech One-on-One episodes

As Black Hat USA 2025 approaches, the cybersecurity world is buzzing with innovation—and Dropzone AI is right at the center of it. With roots in Seattle and a mission to bring true intelligence into the security operations center (SOC), the Dropzone AI team is gearing up for a packed week in Las Vegas, from BSides to the AI Summit, and finally at Startup City (booth #6427).Founded by Edward Wu, former Head of AI/ML at ExtraHop Networks, Dropzone AI was built on a key realization: the last thing SOCs need is another flood of alerts. Instead, they need help processing and acting on them. That's where Dropzone comes in—offering an AI-powered security analyst that doesn't just detect threats, but investigates, correlates, and takes action.During a recent pre-event chat with ITSPmagazine's Sean Martin and Marco Ciappelli, Edward explained the core philosophy behind the platform. Unlike hype-driven claims of “fully autonomous SOCs,” Dropzone takes a practical, tiered approach to automation. Their agentic AI system performs full investigations, determines the nature of alerts (true vs. false positives), and recommends or executes containment actions depending on risk tolerance and policy.The tech has found particular traction with lean security teams, or those expanding toward 24/7 coverage without adding headcount. Rather than replacing humans, the platform augments them—freeing analysts from the drudgery of low-priority alert triage and giving them space to focus on strategic work. As Edward put it, “Nobody wants to be a tier-one analyst forever.” Dropzone helps make sure they don't have to be.The platform integrates across existing security stacks and data sources, drawing from threat intel, logs, and endpoint signals to build a full picture of every alert. Security teams retain full control, with human-in-the-loop decision-making remaining the standard in most use cases. However, for low-risk assets and off-hours scenarios, some customers are already authorizing autonomous action.With conversations at Black Hat expected to revolve around the reality of AI in production—not just the vision—Dropzone is entering the perfect arena. From demonstrating real-world impact to sharing insights on agentic design and trust boundaries, their presence will resonate with everyone from analysts to CISOs.Whether you're building out your SOC, questioning your MDR provider, or simply overwhelmed with alert fatigue, this may be your signal. Dropzone AI isn't selling buzzwords. They're delivering results. Visit them at Startup City, booth #6427, and see for yourself what the future of alert triage and SOC efficiency looks like—one investigation at a time. Note: This story contains promotional content. Learn more.Guests:Edward Wu, Founder/CEO at Dropzone AI On LinkedIn: https://www.linkedin.com/in/edwardxwu/DROPZONE AI: https://itspm.ag/dropzoneai-641Hosts:Sean Martin, Co-Founder at ITSPmagazine | Website: https://www.seanmartin.comMarco Ciappelli, Co-Founder at ITSPmagazine | Website: https://www.marcociappelli.com______________________ResourcesVisit the DROPZONE Website to learn more: https://itspm.ag/dropzoneai-641Learn more and catch more stories from Dropzone on ITSPmagazine: https://www.itspmagazine.com/directory/dropzoneaiLearn more about ITSPmagazine Brand Story Podcasts: https://www.itspmagazine.com/purchase-programsNewsletter Archive: https://www.linkedin.com/newsletters/tune-into-the-latest-podcasts-7109347022809309184/Business Newsletter Signup: https://www.itspmagazine.com/itspmagazine-business-updates-sign-upAre you interested in telling your story?https://www.itspmagazine.com/telling-your-story

Chief Product Development Officer Mitchell Johnson discusses how Sonatype protects enterprise developers from malicious open source components while keeping them productive through AI.Topics Include:Sonatype provides software supply chain solutions for enterprises using open source componentsThey serve large enterprises, government agencies, and critical infrastructure providers globallyMain challenge: keeping developers productive while maintaining secure software supply chainsCybercrime and supply chain attacks are massive, growing industries threatening developersAI adoption is happening faster than expected, profoundly changing development workflowsBad actors evolved from waiting for vulnerabilities to creating malicious componentsMalicious open source components specifically target developer and DevOps toolchainsSonatype's security research team uses AI/ML to analyze every open source componentThey can predict and block malicious components before entering customer environmentsAWS partnership helps Sonatype meet customers where they want to do businessPartnership focuses on go-to-market alignment, not just technical integrationAWS sales teams should be treated as extensions of your own sales organizationUnderstanding AWS sales structure and incentives is crucial for successful partnershipsAI development is following same pattern as open source adoption twenty years ago"Shadow AI" parallels the earlier "shadow IT" trend with open source softwareAI speeds up code generation but security review processes haven't kept paceDevelopers need a "Hippocratic Oath" - taking responsibility for AI-generated code outputWithin 24 months, professionals not skilled in AI will struggle to stay relevantSonatype's culture encourages curiosity, experimentation, and accepts failure as part of innovationTheir core mission: help developers focus on innovation, not security choresParticipants:Mitchell Johnson – Chief Product Development Officer, SonatypeFurther Links:Sonatype WebsiteSonatype on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Low-code systems democratize artificial intelligence tools, allowing nontechnical staff members to produce data-driven apps independently. This movement creates questions about governance, security, and quality control even while it gives innovators agility and speed. How can companies enable low-code tool-equipped business units to provide strong security and governance? Are there best practices for juggling autonomy with control in democratized AI systems? What unanticipated difficulties might result from this move toward general AI availability? Guest: Udit Pahwa, Chief Information Officer at Blue Star Limited Guest Bio: Udit Pahwa More on this Episode: https://www.ciotalknetwork.com/low-code-ai-apps-enabling-innovation-ensuring-control/ More on AI & ML: https://www.ciotalknetwork.com/topics/artificial-intelligence-machine-learning/ Visit CIO Talk Network Website: https://www.ciotalknetwork.com/  

Is generative AI just another tool in the belt, or is it a fundamental transformation of the developer profession? We kick off a two-part special to get to the bottom of how AI is impacting the enterprise. SADA's Associate CTO of AI & ML, Simon Margolis, sits down with Ameer Abbas, Senior Product Manager at Google Cloud, for an insider's look at the future of software development. They cut through the noise to discuss how tools like Gemini Code Assist are moving beyond simple code completion to augment the entire software delivery lifecycle, solving real-world challenges and changing the way we think about productivity, quality, and automation. In this episode, you'll learn: What Gemini Code Assist is and the broad range of developer personas it serves. The critical debate: Is AI augmenting developer skills or automating their jobs? How to leverage AI for practical enterprise challenges like application modernization, improving test coverage, and tackling technical debt. Why the focus is shifting from developer productivity to overall software delivery performance. Ameer's perspective on the future of development careers and why students should lean into AI, not fear it. The limitations of "vibe coding" and the need for intentional, high-quality AI prompting in a corporate environment.   Join us for more content by liking, sharing, and subscribing!

In this episode of the Data Science Salon Podcast, we sit down with Anusha Nerella, a seasoned technology leader and Senior Principal Software Engineer at State Street Corporation. With over a decade of experience across top-tier institutions like Barclaycard, Citibank, and USPTO, Anusha brings deep technical expertise in AI/ML automation, enterprise engineering, and scalable financial systems. In this conversation, Anusha shares her journey from software development to leading enterprise-scale AI initiatives, her work in high-frequency trading and automation frameworks, and her passion for mentoring and advancing the next generation of tech talent. Key Highlights: Engineering with Purpose: Anusha walks us through how she's building intelligent, AI-powered automation frameworks to optimize performance and reliability in financial systems at scale. Bridging Code & Vision: A look at how her work integrates AI, DevOps, and big data architecture to deliver long-lasting, strategic impact within complex enterprise environments. Leading with Intention: Anusha discusses the role of mentorship, community involvement, and advocacy in shaping a more inclusive and innovative future in tech. The Future of AI Automation: Insight into where the industry is heading—from operationalizing machine learning to driving cross-industry transformation with intelligent systems. Whether you're a technical founder, enterprise leader, or aspiring AI engineer, this episode offers a deep dive into how real-world AI systems are built, scaled, and delivered with precision and purpose.

Got ideas? Here's how to turn them into income—again and again.In this episode of 7-8 Figure Special Series I interviewed Jeremy Lessaris. Jeremy is an experienced global marketing and communicationsexecutive and entrepreneurial leader, with over two decades of experience in the industrial, energy, transportation, and technology sectors, establishing and investing in numerous ventures across several different industries.He previously served as Global Vice President of Marketing & Communications for Power Solutions International, owned by Weichai, a $28 billion Chinese industrial and marine conglomerate. Jeremy successfully managed global marketing efforts and secured over $30 million in capital and grants. During his tenure he rang the opening bell at NASDAQ and helped lead the company to become one of the fastest growing stocks in Illinois, up 364% in the first 6 months. Jeremy more recently founded, bootstrap funded and served as CEO of a leading US-based design agency Designed.co which was sold in late 2023. His leadership helped grow the agency nearly 3000% in the first 18 months of operation. His current role is Founder and CEO of Payment Brokers a fintech application that utilizes AI/ML to uncover proprietary pricing data used for negotiations with credit card processing companies. As an accomplished tech founder, with a proven track record, Jeremy has led 8 of his companies to successful exit. Want to build more than one business? Check this out!Show Links:Jeremy on LinkedIn: https://www.linkedin.com/in/jlessaris/Book a call with Michelle: https://go.appointmentcore.com/book/IcFD4cGJoin our Facebook group for business owners to get help or help other business owners!The Business Ownership Group - Secrets to Scaling: https://www.facebook.com/groups/businessownershipsecretstoscalingLooking to scale your business? Get free gifts here to help you on your way: https://www.awarenessstrategies.com/

Hear from Cristian deRitis, deputy chief economist at Moody's Analytics, on the stress testing impact of heightened geopolitical risk, constantly shifting tariffs, climate risk developments, and AI/ML evolution. This podcast examines stress testing challenges and trends, with an eye on how regulation and recent events are shaping these important exercises. Regulatory stress tests play a key role in ensuring that large banks hold enough capital withstand extreme recessions, while internal stress tests at banks are used for everything from capital and liquidity planning to risk monitoring, risk identification and operational resilience. Today, though, there are questions about whether regulatory stress tests – particularly the Federal Reserve's CCAR exercise – are transparent enough. Internal tests, moreover, are being heavily influenced by heightened geopolitical risk and U.S. policy changes, such as fluctuating tariffs. To more effectively manage all the different scenarios they must consider, financial institutions are also making greater use of next-generation technology, like artificial intelligence and machine learning, in their stress-testing methodologies. What's more, they must consider changing regulatory winds on climate risk. Relevant Links: GARP Benchmarking Initiative Modeling Risk (Risk Intelligence column by Cristian deRitis)   Speaker's Bio Cristian deRitis is Managing Director and Deputy Chief Economist at Moody's Analytics. As the head of econometric model research and development, he specializes in the analysis of current and future economic conditions, scenario design, consumer credit markets and housing. In addition to his published research, Cristian is a co-host on the popular Inside Economics Podcast. He can be reached at cristian.deritis@moodys.com.

How do you build a DePIN network with 2.7M+ devices, zero CAC, and data streams optimized for AI—without draining batteries or compromising user trust?In this episode of The Index, Alex Kehaya sits down with Jesse Adams, serial entrepreneur and co-founder of Uprock, to unpack how they're building the world's first mobile-first DePIN for AI.Jesse's journey spans building an adult app store, launching an encrypted browser (Tenta, acquired), and now scaling Uprock—a decentralized physical infrastructure network designed to deliver real-time, geo-distributed data for AI/ML. Instead of relying on always-on proxies, Uprock's task-based architecture wakes mobile devices only when needed, performs lightweight actions (like scraping or uptime checks), and puts them back to sleep—keeping performance high and energy use low.We explore:Why location-specific data is critical for LLMs and autonomous agentsHow Uprock scaled to 2.7M devices with zero paid acquisitionTheir crypto micropayment model for rewarding bandwidth contributionAI-driven dev workflows for code review, QA, and marketing at speedIf you're building in DePIN, Web3 infra, or AI tooling—this convo is packed with ideas from the frontier.

Kai Wang joins the MLOps Community podcast LIVE to share how Uber built and scaled its ML platform, Michelangelo. From mission-critical models to tools for both beginners and experts, he walks us through Uber's AI playbook—and teases plans to open-source parts of it.// BioKai Wang is the product lead of the AI platform team at Uber, overseeing Uber's internal end-to-end ML platform called Michelangelo that powers 100% Uber's business-critical ML use cases.// Related LinksUber GenAI: https://www.uber.com/blog/from-predictive-to-generative-ai/#uber #podcast #ai #machinelearning ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Kai on LinkedIn: /kai-wang-67457318/Timestamps:[00:00] Rethinking AI Beyond ChatGPT[04:01] How Devs Pick Their Tools[08:25] Measuring Dev Speed Smartly[10:14] Predictive Models at Uber[13:11] When ML Strategy Shifts[15:56] Smarter Uber Eats with AI[19:29] Summarizing Feedback with ML[23:27] GenAI That Users Notice[27:19] Inference at Scale: Michelangelo[32:26] Building Uber's AI Studio[33:50] Faster AI Agents, Less Pain[39:21] Evaluating Models at Uber[42:22] Why Uber Open-Sourced Machanjo[44:32] What Fuels Uber's AI Team

In this episode, we continue our conversation with Bhanu Prasad, an Impact Innovation Coach at Digital Impact Square (DISQ), a social innovation center based in Nashik, Maharashtra. DISQ uses cutting-edge digital technologies to address key societal challenges across sectors like Health, Education, Water, and Environment, and has been instrumental in guiding young entrepreneurs towards creating meaningful solutions for India's growing needs. Bhanu delves into the transition of young entrepreneurs into mature founders, sharing insights on how DISQ's mentorship programs and innovation platforms are driving this transformation. He also discusses one of his favorite startup success stories, highlighting how impactful solutions are emerging from DISQ. In this episode, Bhanu sheds light on his experience coaching healthcare startups, which are solving critical health issues in India, and offers a look at the exciting ed-tech startups being nurtured at DISQ. As the episode unfolds, Bhanu also shares his vision for the future of DISQ, outlining how the center plans to continue scaling innovations to address pressing social challenges in India.✨ ABOUT ME ✨ Hello, my name is Vidyangi (Vida) Patil. I am a mindset coach, author, and speaker. Five years ago when I started understanding success hacks for individuals, startups, and larger organizations little did I know I would end up working with mentors hail from Silicon Valley at Stanford University, MIT Media Lab, Singularity University, and incubators and accelerators. All the way from guiding AI/ML startup founders in winning pitch competitions, and bagging investor appointments to helping youth entrepreneurs and women land their dream job or promotion, I plan to spill the beans of wisdom to launch you higher wherever you are in your life. I have successfully coached communities in social impact initiatives during COVID. Every week you will see new videos from me on career, personal growth, and technology trends to onboard your rocket ship to success!

In this episode, we are joined by Bhanu Prasad, an Impact Innovation Coach at Digital Impact Square (DISQ), an open social innovation center located in Nashik, Maharashtra. DISQ encourages the use of digital technologies to address significant social challenges in sectors such as Health, Hygiene, Housing, Transportation, Food, Agriculture, Energy, Water, Environment, Financial and Personal Security, Citizen Empowerment, Transparency, Education, and Skills Development across India. Founded on the collaborative principles inspired by the MIT Media Lab's Camera Culture research group, DISQ represents a unique platform where local communities, domain experts, the government, and industry partners converge to address these challenges. Through initiatives like the Kumbhathon, DISQ played a pivotal role in improving the experience at the Simhastha Kumbh Mela, one of the largest gatherings of human beings in the world. This effort not only enhanced visitor experiences but also demonstrated how technology-driven solutions can solve large-scale problems in real-time. Join us as Bhanu Prasad shares insights into DISQ's mission, the impact of digital innovations on social issues, and the incredible journey of leveraging technology for public good.✨ ABOUT ME ✨ Hello, my name is Vidyangi (Vida) Patil. I am a mindset coach, author, and speaker. Five years ago when I started understanding success hacks for individuals, startups, and larger organizations little did I know I would end up working with mentors hail from Silicon Valley at Stanford University, MIT Media Lab, Singularity University, and incubators and accelerators. All the way from guiding AI/ML startup founders in winning pitch competitions, and bagging investor appointments to helping youth entrepreneurs and women land their dream job or promotion, I plan to spill the beans of wisdom to launch you higher wherever you are in your life. I have successfully coached communities in social impact initiatives during COVID. Every week you will see new videos from me on career, personal growth, and technology trends to onboard your rocket ship to success!

What if we told you that just one bad experience could send your customers running?

In this exciting episode of Pitch Cafe, we sit down with Divya, the founder of Sinewave AI, to discuss how AI is reshaping the healthcare landscape. By addressing the time-consuming process of prior authorization, Sinewave AI has created a solution that turns 30-40 minutes of work into just 30 seconds. Hear how this innovation is saving doctors more than 2 hours a day, empowering them to focus on what truly matters—patient care. Tune in to learn more about this game-changing technology! ------------------------------------------------------------------------------ ✨ ABOUT ME ✨ Hello, my name is Vidyangi (Vida) Patil. I am a mindset coach, author, and speaker. Five years ago when I started understanding success hacks for individuals, startups, and larger organizations little did I know I would end up working with mentors hail from Silicon Valley at Stanford University, MIT Media Lab, Singularity University, and incubators and accelerators. All the way from guiding AI/ML startup founders in winning pitch competitions, and bagging investor appointments to helping youth entrepreneurs and women land their dream job or promotion, I plan to spill the beans of wisdom to launch you higher wherever you are in your life. I have successfully coached communities in social impact initiatives during COVID. Every week you will see new videos from me on career, personal growth, and technology trends to onboard your rocket ship to success!

In this episode of Pitch Cafe, we sit down with Jeel Patel, a young and ambitious entrepreneur who, just 1.5 years out of college, is already working on his third startup, FieldCamp. His latest venture is building the first fully AI-powered software for SMBs, tapping into a $3 billion market that even VCs struggle to understand. But what makes jeel confident in his success? It's not just the idea—it's his deep industry knowledge, his experienced team, and his ability to leverage real connections with SMBs. Tune in to hear jeel's insights on AI, startup challenges, and why this time, he's betting big! ------------------------------------------------------------------------------ ✨ ABOUT ME ✨ Hello, my name is Vidyangi (Vida) Patil. I am a mindset coach, author, and speaker. Five years ago when I started understanding success hacks for individuals, startups, and larger organizations little did I know I would end up working with mentors hail from Silicon Valley at Stanford University, MIT Media Lab, Singularity University, and incubators and accelerators. All the way from guiding AI/ML startup founders in winning pitch competitions, and bagging investor appointments to helping youth entrepreneurs and women land their dream job or promotion, I plan to spill the beans of wisdom to launch you higher wherever you are in your life. I have successfully coached communities in social impact initiatives during COVID. Every week you will see new videos from me on career, personal growth, and technology trends to onboard your rocket ship to success!

In this Checkout episode, we get a behind-the-scenes look at Luke Matthews, the Head of IT at Camilla who's helping drive international growth. Luke shares his experience building DIY drones, the underrated power of integration platforms like iPaaS, and why breathing techniques from James Nestor's Breath are his secret weapon against stress. He also reflects on what brands like Kitchen Warehouse are doing right, his admiration for brands that prioritise operational excellence, and the endless prioritisation challenges that come with scaling a global retail business. Check out our full-length interview with Luke Matthews here: https://addtocart.com.au/add-to-cart/the-unseen-tech-behind-camillas-global-fashion-empire-518/ This episode was brought to you by StudioHawk.About your guest:Luke Matthews is an experienced technology executive with over a decade leading digital transformation and innovation in retail. As Head of IT at Camilla Australia, he drives technology initiatives that enhance customer experience, streamline operations and support growth across physical and online stores. A former CTO at Kitchen Warehouse Australia, Luke championed digital advancements, including website optimisation, data-driven marketing, and click-and-collect solutions. He has also led major projects at Retail Directions, delivering software development and system localisation for global retailers. Luke's expertise spans cybersecurity, AI/ML in retail, data analytics, cloud architecture and business process re-engineering. With a results-driven mindset, he consistently delivers solutions that boost profitability, efficiency and customer engagement.About your host:Nathan Bush is the host of the Add To Cart Podcast and a leading ecommerce transformation consultant. He has led eCommerce for businesses with revenue $100m+ and has been recognised as one of Australia's Top 50 People in eCommerce four years in a row. You can contact Nathan on LinkedIn, X or via email.Got an idea, opportunity or just want to get involved? Whether you're keen to sponsor Add To Cart, interested in jumping on the mic as a co-host, or have feedback to help us make the show even better, we'd love to hear from you. Shoot us an email at hello@addtocart.com.au and let's chat! Hosted on Acast. See acast.com/privacy for more information.

Welcome to another powerful episode of Pitch Cafe Podcast!

Welcome to a special episode covering everything happening at the RSAC 2025. Meet Sameer Ahirrao, Founder & CEO of Ardent Privacy, with 25+ years of experience working with global giants like Deloitte, Lockheed Martin, and Symantec. Joining him is Nick Salian, CISO at Cantor Fitzgeraldic, and an AI regulation expert who's played key roles at Wipro and Palo Alto Networks. In this episode, we dive deep into how AI is transforming the cybersecurity landscape, the biggest trends at RSA 2025, and why AI governance solutions are the next big thing. We also break down the concept of Data Bill of Materials and how Ardent Privacy helps organizations protect critical data infrastructures—whether you're launching new software or safeguarding legacy IT. Sameer's reference in the interview • "AI Ethics by Design Is the Way Ahead to P...

Second guest episode of the SP era - with a guy living the dream. Akash worked in the front offices of the New York Yankees and Miami Dolphins as well as a Google data scientist before leaving it all behind to be a full-time bettor.This builds on our recent modeling episodes as we take a jump from simple/ regression based models into the AI/ML blackbox.You can find Akash in the GP Discord under the name joshroyale00:00 Show Intro 01:50 Yankees Front Office 11:05 Transition from Sports Analytics to Betting  23:30 Data Pipelines, Friction Reduction and Useful Features  39:45 AI vs. Pro Sports Bettor49:50 Modeling Philosophy: Transparency vs. Black Boxes  1:11:35 Handling Downswings and Model Validation  1:17:00 News Roundup: IL Tax, FanDuel Ban, Polymarket x Twitter  1:30:50 Listener Q&A Welcome to The Risk Takers Podcast, hosted by professional sports bettor John Shilling (GoldenPants13) and SportsProjections. This podcast is the best betting education available - PERIOD. And it's free - please share and subscribe if you like it.My website: https://www.goldenpants.com/ Follow SportsProjections on Twitter: https://x.com/Sports__ProjWant to work with my betting group?: john@goldenpants.comWant 100s of +EV picks a day?: https://www.goldenpants.com/gp-picks

June 10, 2025 | This episode of The Chain features a panel discussion from May's PEGS Boston. Moderated by Peter Tessier, Albert M. Mattocks professor of Pharmaceutical Sciences and Chemical Engineering at the University of Michigan, the panelists include Sarel Fleishman, professor of Biomolecular Sciences at the Weizmann Institute of Science; Kadina Johnston, senior specialist of Discovery Biologics at Merck & Co.; Vincent Ling, chief business officer of Morphocell Technologies; Arvind Rajpal, SVP of Xaira; and Max Vasquez, chief computing officer of Adimab. Together they discuss benchmarking AI/ML methods compared to traditional approaches, development of human-relevant training data, identifying and addressing core challenges in de novo designs, and more. Links from this episode:  PEGS Boston Conference & Expo Engineering Bispecific Antibodies University of Michigan University of Michigan Chemical Engineering Weizmann Institute of Science Scala Biodesign Merck & Co., Inc. Morphocell Technologies Bill & Melinda Gates Foundation Xaira Adimab LLC 

Go to https://cozyearth.com and use code HUMANHR for 40% off their best-selling sheets, pajamas, towels, and more. And if you get a post-purchase survey? Let them know you heard about Cozy Earth right here.In this episode, Traci Chernoff interviews Eric Charran about his book 'Have You Ever Had a Boss That Succeeded in a Dysfunctional Workplace'. They discuss the impact of toxic leadership on employee well-being and productivity, the archetypes of dysfunctional managers, and practical strategies for navigating these challenges. Eric shares personal experiences that inspired his book and emphasizes the importance of understanding and addressing unhelpful managerial behaviors to foster a healthier workplace culture. In this conversation, Traci Chernoff and Eric Charran delve into the complexities of workplace dynamics, focusing on emotional responses, the importance of managing up, and the necessity of empathy in leadership. They discuss various archetypes of managers, particularly the 'surprised' archetype, and how these behaviors impact team dynamics. The conversation emphasizes the importance of building trust, understanding emotional reactions, and developing coping strategies to navigate workplace challenges effectively. Eric shares insights from his book, encouraging listeners to empower themselves and recognize their worth in professional settings.Chapters00:00 Introduction to Dysfunctional Workplaces02:59 The Genesis of the Book05:53 Understanding Manager Archetypes09:00 The Impact of Toxic Leadership01:53 Breaking the Cycle of Dysfunction14:55 Exploring Manager Archetypes17:46 The Emergency Broadcaster Archetype21:54 Coping with Chaos: Understanding Emotional Responses24:13 Managing Up: The Art of Diplomacy28:43 Building Trust: The Importance of Empathy31:47 The Surprised Archetype: Navigating Unexpected Challenges36:51 Empowerment Through Understanding: Knowing Your WorthWe hope you enjoyed this episode with Eric Charran. If you found our discussion insightful, we'd like you to take a moment to rate our podcast. Your feedback helps us grow and reach more listeners who are passionate about these topics. You can also leave a review and tell us what you loved or what you'd like to hear more of - we're all ears!Don't forget to rate, review, and subscribe! Plus, leave a comment if you're catching this episode on Spotify or YouTube.About Our Guest: Eric Charran is a visionary data and AI executive with over 25 years of experience transforming global organizations through innovative data strategies, AI/ML solutions, and scalable enterprise platforms. He has led the design of next-generation data ecosystems—including lakehouse, mesh, and fabric architectures—driving $250M+ in revenue, reducing time-to-insight by 45%, and boosting marketing ROI by 20%. His expertise spans Generative AI, traditional AI/ML, and multi-cloud strategies that have delivered $30M in annual savings while ensuring resilience and compliance. A recognized thought leader, Eric is passionate about ethical AI, data governance, and building cultures of innovation that align technology with business impact.Connect with Eric Charran here:LinkedIn: https://www.linkedin.com/in/ericcharran/ Connect with Traci here: ⁠https://linktr.ee/HRTraci⁠Disclaimer: Thoughts, opinions, and statements made on this podcast are not a reflection of the thoughts, opinions, and statements of the Company by whom Traci Chernoff is actively employed.Please note that this episode may contain paid endorsements and advertisements for products or services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode.

On this episode of That Tech Pod, Laura and Kevin sit down with Alexander Patrushev, Head of Product for AI/ML at Nebius, a European cloud platform focused on machine learning infrastructure. Kicking things off, we unpack the buzz around China's fully AI-powered “Agent Hospital,” raising questions about what role AI should play in medicine. Laura also shares a personal rant about navigating the healthcare system in search of real answers.Then, Alex joins from Luxembourg to explain what Nebius does, who it's built for, and how it helps companies tackle ML workloads. He breaks down the common mistakes teams make when launching ML projects and why success depends more on people and processes than just tech. The conversation also goes into whether companies should host their own LLMs or use pay-per-token APIs, and how to approach that decision. Looking ahead, Alex challenges the idea that AI is inherently hard and shares what businesses should really be focusing on, from smarter software to evolving hardware needs, as AI infrastructure continues to grow. It's a thoughtful, practical look at the future of AI from someone who builds the tools to power it.Alexander Patrushev is an experienced IT leader with over 15 years in the industry, including the past six focused on artificial intelligence. He currently serves as Head of Product for AI/ML at Nebius, a European cloud platform designed for building and deploying machine learning workloads. Based in Luxembourg, Alexander is known for his practical approach to solving real-world challenges faced by AI practitioners. He's especially focused on delivering user-centric, innovative solutions, and believes strongly in the importance of in-house R&D to drive product excellence and stay ahead in a fast-moving space.