Podcasts about agentic

Claude 4: Game-changer or just more AI noise? Anthropic's new Opus 4 and Sonnet 4 models are officially out and crushing coding benchmarks like breakfast cereal. They're touting big coding gains, fresh tools, and smarter AI agentic capabilities. Need to know what's actually up with Claude 4, minus the marketing fluff? Join us as we dive in. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Claude 4 Opus and SONNET LaunchAnthropic Developer Conference HighlightsAnthropic's AI Model Naming ChangesClaude 4's Hybrid Reasoning ExplainedBenchmark Scores for Claude 4 ModelsTool Integration and Long Tasks in ClaudeCoding Excellence in Opus and SONNET 4Ethical Risks in Claude 4 TestingTimestamps:00:00 "Anthropic's New AI Models Revealed"03:46 Claude Model Naming Update07:43 Claude 4: Extended Task Capabilities10:55 "Partner with AI Experts"15:43 Software Benchmark: Opus & SONNET Lead16:45 INTROPIC Leads in Coding AI21:27 Versatile Use of Claude Models23:13 Claude Four's New Features & Limitations28:23 AI Pricing and Performance Disappointment32:21 Opus Four: AI Risk Concerns35:14 AI Model's Extreme Response Tactics36:40 AI Model Misbehavior Concerns42:51 Pre-Release Testing for SafetyKeywords:Claude 4, Anthropic, AI model update, Opus 4, SONNET 4, Large Language Model, Hybrid reasoning, Software engineering, Coding precision, Tool integration, Web search, Long running tasks, Coherence, Claude Code, API pricing, Swebench, Thinking mode, Memory files, Context window, Agentic systems, Deceptive blackmail behavior, Ethical risks, Testing scenarios, MCP connector, Coding excellence, Developer conference, Rate limits, Opus pricing, SONNET pricing, Claude Haiku, Tool execution, API side, Artificial analysis intelligence index, Multimodal, Extended thinking, Formative feedback, Text generation, Reasoning process, Lecture summary.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   SAP Doubles Down on Agentic AI, Q&A (Darian Chwialkowski, Third Stage Consulting) How to Get Ready for AI in Your Organization (Khalid Morris, Third Stage Consulting) Why Your Employees Secretly Hate Change   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

In this episode of Manufacturing the Workforce of Tomorrow, host Toni Neary talks with Dr. Timothy Wilson, SME's AI strategist, about what artificial intelligence really is—and what it means for your workforce. They break down the basics of AI (Narrow, General, Agentic), how tools like ChatGPT work, and how AI is already shaping everything from hiring to upskilling. Learn how organizations can use AI to uncover hidden talent, close skill gaps, and personalize employee development. Whether you're new to AI or ready to scale, this conversation offers clear, practical insights for the future of work.

Take a Network Break! We begin with a Red Alert for critical vulnerabilities Kubernetes Gardener. Up next, a threat actor has been squatting on unused CNAME records to distribute malware and spam, and IP Fabric rolls out a new firewall rule simulation capability to let administrators test the effect of firewall rules on traffic patterns.... Read more »

ArmorCode unveils Anya—the first agentic AI virtual security champion designed specifically for AppSec and product security teams. Anya brings together conversation and context to help AppSec, developers and security teams cut through the noise, prioritize risks, and make faster, smarter decisions across code, cloud, and infrastructure. Built into the ArmorCode ASPM Platform and backed by 25B findings, 285+ integrations, natural language intelligence, and role-aware insights, Anya turns complexity into clarity, helping teams scale securely and close the security skills gap. Anya is now generally available and included as part of the ArmorCode ASPM Platform. Visit https://securityweekly.com/armorcodersac to request a demo! As 'vibe coding", the practice of using AI tools with specialized coding LLMs to develop software, is making waves, what are the implications for security teams? How can this new way of developing applications be made secure? Or have the horses already left the stable? Segment Resources: https://www.backslash.security/press-releases/backslash-security-reveals-in-new-research-that-gpt-4-1-other-popular-llms-generate-insecure-code-unless-explicitly-prompted https://www.backslash.security/blog/vibe-securing-4-1-pillars-of-appsec-for-vibe-coding This segment is sponsored by Backslash. Visit https://securityweekly.com/backslashrsac to learn more about them! The rise of AI has largely mirrored the early days of open source software. With rapid adoption amongst developers who are trying to do more with less time, unmanaged open source AI presents serious risks to organizations. Brian Fox, CTO & Co-founder of Sonatype, will dive into the risks associated with open source AI and best practices to secure it. Segment Resources: https://www.sonatype.com/solutions/open-source-ai https://www.sonatype.com/blog/beyond-open-vs.-closed-understanding-the-spectrum-of-ai-transparency https://www.sonatype.com/resources/whitepapers/modern-development-in-ai-era This segment is sponsored by Sonatype. Visit https://securityweekly.com/sonatypersac to learn more about Sonatype's AI SCA solutions! The surge in AI agents is creating a vast new cyber attack surface with Non-Human Identities (NHIs) becoming a prime target. This segment will explore how SandboxAQ's AQtive Guard Discover platform addresses this challenge by providing real-time vulnerability detection and mitigation for NHIs and cryptographic assets. We'll discuss the platform's AI-driven approach to inventory, threat detection, and automated remediation, and its crucial role in helping enterprises secure their AI-driven future. To take control of your NHI security and proactively address the escalating threats posed by AI agents, visit https://securityweekly.com/sandboxaqrsac to schedule an early deployment and risk assessment. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-332

Take a Network Break! We begin with a Red Alert for critical vulnerabilities Kubernetes Gardener. Up next, a threat actor has been squatting on unused CNAME records to distribute malware and spam, and IP Fabric rolls out a new firewall rule simulation capability to let administrators test the effect of firewall rules on traffic patterns.... Read more »

Take a Network Break! We begin with a Red Alert for critical vulnerabilities Kubernetes Gardener. Up next, a threat actor has been squatting on unused CNAME records to distribute malware and spam, and IP Fabric rolls out a new firewall rule simulation capability to let administrators test the effect of firewall rules on traffic patterns.... Read more »

⬥GUESTS⬥Frida Torkelsen, PhD | AI Solution Architect at Newcode.ai | On LinkedIn: https://www.linkedin.com/in/frida-h-torkelsen/Maged Helmy, PhD | Assoc. Professor - AI at University of South-Eastern Norway and Founder & CEO of Newcode.ai | On LinkedIn: https://www.linkedin.com/in/magedhelmy/⬥HOST⬥Host: Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | On LinkedIn: https://www.linkedin.com/in/imsmartin/ | Website: https://www.seanmartin.com⬥EPISODE NOTES⬥Agentic AI is rapidly moving from theoretical promise to practical implementation, and few sectors are feeling this shift as acutely as the legal industry. In this episode of Redefining CyberSecurity, Sean Martin is joined by Frida Torkelsen, a Solution Architect, and Maged Helmy, a professor of AI, to explore how law firms and in-house counsel are applying AI agents to reduce costs, improve efficiency, and unlock strategic capabilities—while navigating critical privacy and security concerns.Frida explains how large firms are seeking to extract value from their troves of historical legal data through bespoke AI agents designed to automate workflows and improve institutional knowledge sharing. Smaller firms, on the other hand, benefit by building narrow, purpose-driven agents that automate core functions and give them a tactical edge. This democratization of capability—fueled by faster iteration and reduced development cost—could be a strategic win for niche firms that are disciplined in their focus.Maged emphasizes the architectural shift AI agents introduce. Unlike static queries to large language models with fixed knowledge, agents access tools, data, and live systems to execute tasks dynamically. This expands the use case potential—but also the risk. Because agentic systems operate probabilistically, consistent outputs aren't guaranteed, and testing becomes more about evaluating outcomes across a range of inputs than expecting deterministic results.Security risk looms large. Maged shares how a single oversight in permissions allowed an agent to make system-wide changes that corrupted his environment. Frida cautions against over-permissive access, noting that agents tapping into shared calendars or HR databases must respect internal boundaries and compliance obligations. Both guests agree that human-in-the-loop validation is essential, especially in environments with strict data governance needs.Law firms must reassess both internal information architecture and team readiness before implementing agentic systems. Start with a clear understanding of the business problem, validate access scopes, and track outcomes for accuracy, speed, and cost. Legal tech teams are forming around these efforts, but success will depend on whether these roles stay grounded in solving specific legal problems—not chasing the latest AI trend.⬥SPONSORS⬥LevelBlue: https://itspm.ag/attcybersecurity-3jdk3ThreatLocker: https://itspm.ag/threatlocker-r974⬥RESOURCES⬥Newsletter: The Law's Great Recalibration: Inside the Tech-Driven Puzzle of Legal Firm Transformation: https://www.linkedin.com/pulse/laws-great-recalibration-inside-tech-driven-puzzle-sean-martin-cissp-clnoe/⬥ADDITIONAL INFORMATION⬥✨ More Redefining CyberSecurity Podcast: 

我有個朋友，深信專業人士唔可能被 AI 取代，因為佢覺得：「你點都要搵啲人去負法律責任吖嘛；乜 AI 可以負責㗎咩？」首先，人類歷史好早就發明咗 legal person （法人）呢個概念，而「法人」係可以負責任嘅；更重要一點就係，好多責任都可以幻化成一個價錢牌。錢可以解決嘅問題，就唔係問題。專業責任保險嘅出現，未必解決到道德上責任嘅問題，但肯定處理到法律上同經濟上責任嘅問題。咁關 Agentic AI 乜事呢？最主要嘅關連係，Agentic AI 理論上可以為人類，亦即係 Principal （我亦做事主）去作出決定。先唔講 AI 去做決定會唔會好過人類（雖然我覺得絕大多數情況都會好過），但做決定就要負責任。好多人就話：「咁個責任邊個去負？」表面去睇好似好難去處理，但其實又唔係咁難；類似嘅情況就係一間企業嘅員工做錯事令顧客蒙受損失，咁邊個去負責任？法律上唔係處理唔到嘅問題。更重要係，呢啲責任絕對可以買到保險；AI 做決定出錯嘅機會率，一定有數得計。所以，一心諗住有個牌就唔會被 AI 取代嘅朋友，我勸大家都係諗清楚乜嘢為之責任。最後都係一直講個句，唔係 AI 取代人類，係識得用 AI 嘅人，取代啲以為自己份工同個專業身份好穩陣嘅人。 This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit leesimon.substack.com/subscribe

Chandar Pattabhiram, marketing maestro and Chief Go-to-Market Officer at Workato, shares his expertise on the agentic economy and the revolutionary impact of AI on go-to-market strategies.• The rise of AI agents brings productivity without pause, enabling organizations to shift from reactive to proactive approaches• Current AI implementation remains largely experimental and edge-focused rather than addressing core business processes• Workato's approach focuses on cross-functional processes versus siloed applications to prevent agent sprawl• Traditional go-to-market principles still apply – win more, win bigger, win faster – but AI provides unprecedented efficiency• Enterprise context is crucial for AI effectiveness – it's not just about LLMs but Enterprise Learning Models (ELMs)• AI enhances storytelling capabilities but emotional connection remains essential – "heart to head, not head to heart"• Success requires identifying your "onlyness" and selling to markets that value your unique differentiation• Bring philosophies rather than playbooks when moving between companies• Balance technical understanding with human connection – "CTFO: chill the F out"• Life ultimately comes down to health, experiences, and relationships (H-E-R)Ready to master go-to-market strategy in the AI era? Chandar Pattabhiram reveals the secrets behind scaling companies into billion-dollar powerhouses:

In this episode, we sat down with full-stack developer and AI innovator Matthew Henage, creator of WAOS.ai (Web App Operating System) and the incredible storytelling platform SpeakMagic.ai. This conversation took us deep into the world of agentic AI, low-code app building, and the future of intelligent workflows.We kicked things off with Matthew sharing how he's been riding the AI wave since GPT-3.5 blew his mind. His platform WoWs is all about making it easy for developers to build powerful web apps with embedded AI workflows — think of it like Zapier meets ChatGPT, but with agents working together instead of API chains.One of the most eye-opening parts of our chat was learning about agent swarms — essentially teams of specialized AI agents that collaborate to perform complex tasks. Instead of relying on one giant AI brain to do everything, you create smaller, purpose-built AIs that handle specific steps in a workflow. It's scalable, smarter, and kind of like assembling your dream dev team… but all made of code.Matthew's Speak Magic project is a jaw-dropper. It uses a swarm of over 40 agents to turn a single story idea into a fully animated, two-minute video — complete with scenes, scripts, character animations, music, and more. It's AI storytelling on steroids.We also talked a lot about:Best practices for building reliable AI workflowsThe importance of keeping context windows small (under 4,000 tokens works best!)How prompt engineering is becoming the new programmingUsing AI for vibe coding (yes, that's a thing) and rapid prototypingThe tradeoffs between using traditional programming vs. letting AI handle logicEthical considerations and how to handle memory and privacy in long-running user interactionsCheck out Matthew's work at WAOS.ai and speakmagic.ai — and as always, stay curious and keep building!Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

The restaurant industry is about to experience a massive technological transformation, and Oracle's Senior Director of Strategy, Amber Trendell, reveals it's happening faster than anyone expected. In this deep dive, we explore how voice AI is revolutionizing drive-thru operations, why 70% of Gen Z customers actually want to be upsold, and how agentic AI systems will soon run restaurants autonomously without human intervention. From license plate recognition triggering personalized offers to AI agents making real-time business decisions across all platforms, this isn't science fiction—it's the reality hitting restaurants within the next 1-3 years. Whether you're a restaurant owner, tech enthusiast, or curious about the future of dining, this analysis breaks down exactly how AI will transform every aspect of the restaurant experience, from ordering to kitchen operations.~This episode is sponsored by: Gusto → https://gusto.pxf.io/PBN ~#1 rated HR platform for payroll, benefits, and moreWith Gusto's easy-to-use platform, you can empower your people and push your business forward. See why over 400,000 businesses choose Gusto.#RestaurantTech #VoiceAI #RestaurantAutomationGet Your Podcast Now! Are you a hospitality or restaurant industry leader looking to amplify your voice and establish yourself as a thought leader? Look no further than SavorFM, the premier podcast platform designed exclusively for hospitality visionaries like you. Take the next step in your industry leadership journey – visit https://www.savor.fm/Capital & Advisory: Are you a fast-casual restaurant startup or a technology innovator in the food service industry? Don't miss out on the opportunity to tap into decades of expertise. Reach out to Savor Capital & Advisory now to explore how their seasoned professionals can propel your business forward. Discover if you're eligible to leverage our unparalleled knowledge in food service branding and technology and take your venture to new heights.Don't wait – amplify your voice or supercharge your startup's growth today with Savor's ecosystem of industry-leading platforms and advisory services. Visit https://www.savor.fm/capital-advisory

IDC's Ritu Jyoti, GVP/GM, AI Automation, Data & Analytics shares research highlights on the Agentic AI fueled business from IDC Directions.

Microsoft legit just dropped a book of AI updates at the Build Conference.We're going to go over the 5 most impactful AI-powered Microsoft Copilot updates and how they will change the future of work. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GitHub Copilot's Autonomous Coding Partner UpdateCopilot Tuning for Enterprise CustomizationIntroducing Agent Foundry on AzureMulti-Agent Orchestration in Copilot StudioComputer Use Automation in CopilotMCP Native Support in Microsoft SystemsTimestamps:00:00 "Everyday AI: Transform Your Business"06:42 AI Coding Assistant Evolution09:29 Copilot Tuning for Business Leaders10:56 Data Privacy Concerns in Cloud Use16:52 "AI Collaboration Among Tech Giants"20:48 "Multi-Agent Orchestration Cautions"22:59 "Multi-Agent Orchestration in Copilot Studio"25:27 OpenAI Copilot Access and Availability29:38 Copilot Pro: Versatile AI Agent35:13 Microsoft Embraces Open AI Collaboration36:57 "Security Concerns Slow AI Rollout"39:44 Subscribe & Review RequestKeywords:Microsoft Build 2025, AI updates, Copilot AI updates, GitHub Copilot, GitHub Copilot coding agent, Autonomous coding partner, Visual Studio Code, Multimodal understanding, Natural language prompts, MCP protocol, Model context protocol, Anthropic, Microsoft 365 Copilot, Business leaders, Copilot tuning, Organization's internal data, Low code model tuning, Task specific agents, Secure service boundary, Azure, Agent foundry, AI agent playground, Enterprise grade AI agents, Grok, Elon Musk, Microsoft Azure, Agent to agent protocol, A to A, Multi agent orchestration, Copilot Studio, Agents collaboration, Agentic memory, Automated validation tools, Computer use in Copilot, Desktop applications, Repetitive tasks, MCP native support, Windows 11, Future of work, Third party applications, Agentic web, Security and access controls.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

AI is moving beyond passive outputs toward autonomous action. In this episode, John Stackhouse and Sonia Sennik explore Agentic AI, a new class of AI systems that can reason, plan, and take initiative with limited human oversight. These systems represent a major evolution beyond traditional and generative AI, capable of real-time adaptation and complex decision-making.They're joined by Adel El Hallak, Senior Director of Product Management at NVIDIA AI Enterprise, and Jacomo Corbo, CEO and Co-Founder of PhysicsX. Adel shares insights from his work delivering secure, scalable AI platforms for enterprise, while Jacomo draws on deep experience deploying AI in high-performance engineering contexts, including Formula 1 and advanced manufacturing.Together, they unpack how agentic AI is already being deployed, the economic opportunities at stake, and the roadmaps and ethical considerations businesses need to navigate as AI agents become a force in real-world operations.

Discover how agentic AI is transforming clinical workflows by enabling intelligent digital twins of healthcare professionals that learn, adapt, and act autonomously. This breakthrough supports faster decision-making, reduces bottlenecks, and expands the reach of clinical expertise across provider systems, telehealth, labs, and diagnostic settings. Dr. Sanjay Juneja hosts Dr. Harvey Castro, who explores how agentic systems integrate with wearables, streamline emergency care, and deliver timely medical insights. You'll learn how scalable AI agents enhance operational efficiency and knowledge-sharing without compromising the human touch.

Guest: Christine Sizemore, Cloud Security Architect, Google Cloud  Topics: Can you describe the key components of an AI software supply chain, and how do they compare to those in a traditional software supply chain?  I hope folks listening have heard past episodes where we talked about poisoning training data. What are the other interesting and unexpected security challenges and threats associated with the AI software supply chain?  We like to say that history might not repeat itself but it does rhyme – what are the rhyming patterns in security practices people need to be aware of when it comes to securing their AI supply chains? We've talked a lot about technology and process–what are the organizational pitfalls to avoid when developing AI software? What organizational "smells" are associated with irresponsible AI development?  We are all hearing about agentic security – so can we just ask the AI to secure itself?  Top 3 things to do to secure AI software supply chain for a typical org?   Resources: Video “Securing AI Supply Chain: Like Software, Only Not” blog (and paper) “Securing the AI software supply chain” webcast EP210 Cloud Security Surprises: Real Stories, Real Lessons, Real "Oh No!" Moments Protect AI issue database “Staying on top of AI Developments”  “Office of the CISO 2024 Year in Review: AI Trust and Security” “Your Roadmap to Secure AI: A Recap” (2024) "RSA 2025: AI's Promise vs. Security's Past — A Reality Check" (references our "data as code" presentation)

I asked Phenom to demo a few of their new AI agents for voice screening and chatbots.

In this episode of 5 Insightful Minutes, AWS's Justin Swagler joins us to explain why physical stores remain critical in today's digital-first retail landscape. He introduces a compelling framework for the future of retail powered by edge computing, IoT, and agentic AI. ⏱ Key Moments: 0:29 – Why physical stores still matter (Hint: 80%+ of sales happen there) 1:39 – The three pillars for retail tech success: Edge, Cloud, and AI 2:30 – The role of computer vision and unified store data 3:02 – How AI connects store systems for operational efficiency 3:56 – A glimpse into the future: Agentic retail automation 4:20 – Real-world examples: broken machines, out-of-stock items, and how AI solves them 4:55 – What retailers should prioritize for long-term value And be sure to check out the ‘IDC TechScape: Frictionless CX-Enabling Technologies in Retail, 2025' report to unlock detailed insights on retail technology trends and discover how AWS Retail Solutions can help you implement these innovations today -- https://pages.awscloud.com/GLOBAL-brand-awareness-content-download-25-idc-ardm-techscape-frictionless-cx-enabling-technologies-retail-report-learn.html?trk=0693c56e-73b3-49cb-94ab-b24715581a0d&sc_channel=el #aws #retailai #edgecomputing #agenticai #futureofretail #StoreInnovation #retailtechnology #omnichannel #SmartStores #customerexperience Music by hooksounds.com Sponsored Content

Alibaba (BABA) shares are down after earnings, something Derek Yan believes is due to investors' overestimated growth expectations for its Cloud segment. Derek discusses the company's agentic A.I. outlook as well as the costs associated with powering the applications within China's internet companies. Derek also makes the case for Chinese tech stocks as a value-play with U.S.-China trade tensions cooling.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Is regulation a blessing and a curse? Can liabilities become commercial assets? Deloitte's Financial Services AI Lead Ryan Lockard sheds light on the most intriguing real-world applications of AI in financial services, including one that shows why organizations are embracing agentic AI.

What is agentic AI? And why is it important? In this week's episode of the B2B Marketing Podcast, we spoke to Hut 3 about the very topic and how it can be implemented in the various ABM stages. We're joined by Darryl Merkli, Head of AI Studio & Services, Hut 3 and Andy Johnson, Founder and Director, Hut 3. The trio discuss everything from how Hut 3 built their own agentic AI workflows to striking the balance between the human touch and AI technology. Plus, if you want to find out Hut 3's top tips when it comes to AI data privacy, stay tuned until the very end. If you'd like to learn more, we recommend checking out our Martech Vendor Spotlight Reports on ABM and AI here: https://www.b2bmarketing.net/reports/b2b-ai-marketing-tools-2025/ https://www.b2bmarketing.net/reports/martech-vendor-spotlight-report-2025-for-abm/

What happens when automation grows and learns to think, reason, and adapt? That is precisely what I explored in today's episode with Bennet Kumar, Executive Vice President and Global Head of Business Process Services at Hexaware Technologies. As the enterprise world braces for rapid AI-driven change, Bennet joined me to unpack how agentic AI quietly transforms customer experience from the ground up. Bennet explains how agentic AI is fundamentally different from earlier forms of automation. We go beyond the buzzwords to explore how these intelligent systems retain business context, plan and execute tasks with autonomy, and collaborate with other agents to deliver meaningful outcomes. This isn't just a new toolset for organizations focused on ROI, customer satisfaction, and operational efficiency. It is a new way of working. One of the most compelling parts of our conversation centered around AI-powered voice translation. Bennet clearly shows what happens when language ceases to be a barrier. Service agents are no longer required to be fluent in dozens of languages. Instead, they can focus on empathy, listening, and resolution while AI handles translation in real time. We also explore how these technologies reduce stress on customer service staff, giving them more meaningful roles and the tools to thrive. Of course, no digital transformation is complete without understanding the people behind it. Bennet shares thoughtful insights on change management, addressing customer trust and employee concerns. We discuss how AI can empower rather than replace, and why organizations must be intentional about communication, leadership development, and cultural shift. From multilingual support to hyper-personalized customer journeys, and AI assistants to back-end process orchestration, agentic AI is no longer a future concept. It is already here. But are enterprises prepared for a world where customers and AI agents interact seamlessly, at scale, daily? What does the rise of intelligent agents mean for your business?

This episode, recorded live at the Becker's Hospital Review 15th Annual Meeting, features Dugan Winkie, Vice President, Head of Commercial Strategy at Cedar. He shares insights on the launch of Cedar's new AI voice agent Kora, and how it's reducing costs for providers, streamlining patient billing experiences, and shaping the future of healthcare financial engagement.This episode is sponsored by Cedar.

On the 51st episode of Enterprise AI Innovators, host Evan Reiser (Abnormal AI) talks with Shyam Bhojwani, Chief Information Officer at Nextdoor. With millions of users across the U.S., the U.K., and Canada, Nextdoor is one of the largest neighborhood-based platforms in the world, connecting communities with real-time information, local recommendations, and public safety alerts. In this conversation, Shyam shares his perspective on how AI is shifting automation from static workflows to dynamic, context-aware agents, why IT and cybersecurity are prime candidates for fast AI wins, and how culture, architecture, and data readiness all shape the long-term success of enterprise transformation.Quick hits from Shyam:On unlearning in the age of AI: “Every day with AI is a new learning but also a lot of unlearning. What we thought wasn't possible yesterday is already possible today.”On the evolution from automation to agentic orchestration: “Earlier, you would sort of create static processes, step A, step B, step C. Now with AI, it can go from step A to step C based on context. These AI agents aren't just automating tasks, they're orchestrating workflows with real-time intelligence.On how to avoid AI chaos across teams: “There needs to be a centralized AI Ops team to connect the dots. Otherwise, every department ends up buying the same tool twice.”Recent Book Recommendation: The New Automation Mindset by Vijay Tella--Like what you hear? Leave us a review and subscribe to the show on Apple, Google, Spotify, Stitcher, or wherever you listen to podcasts.Enterprise AI Innovators is a show where top technology executives share how AI is transforming the enterprise. Each episode covers the real-world applications of AI, from improving products and optimizing operations to redefining the customer experience. Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/ Enterprise AI Innovators is produced by Josh Meer.

Today's show: Alex interviews founders from two frontier technologies reshaping our world. First, ZioSec is tackling the cybersecurity risks of AI agents with continuous adversarial testing before real attacks happen. Then, Terabase shows how mobile robotic factories are transforming solar energy deployment, assembling massive solar farms directly in the desert. With AI scaling across enterprises and clean energy demand surging, these startups are building critical infrastructure for our future.Timestamps:(0:00) Introduction to the episode(0:53) Show Kickoff with Alex(1:15) ZioSec is Putting Agentic AI in Charge of Cybersecurity(9:41) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.(11:07)How Complex is ZioZec's Testing?(19:48) Superpower - The best founders know: better health = better business. Visit http://superpower.com/twist to skip the waitlist.(21:01) ZioSec's Vision for the Future(26:55) Terabase Wants to Transform How Solar is Built(30:00) Hubspot for Startups - Visit hubspot.com/startups and join the founders who are turning growth challenges into opportunities.(31:30) Is Solar Our AI Power Problem Savior?Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpLinks from episode:Check out ZioSec: https://ziosec.com/Check out Terabase: http://www.terabase.energyFollow Aaron:LinkedIn: https://www.linkedin.com/in/aaron-walls/X: https://x.com/aaron0wallsFollow Andruis:LinkedIn: https://www.linkedin.com/in/auseckas/Follow Terabase:X: https://x.com/terabaseenergy?lang=enFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(9:41) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.(19:48) Superpower - The best founders know: better health = better business. Visit http://superpower.com/twist to skip the waitlist.(30:00) Hubspot for Startups - Visit hubspot.com/startups and join the founders who are turning growth challenges into opportunities.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Agentic AI is equally as daunting as it is dynamic. So…… how do you not screw it up? After all, the more robust and complex agentic AI becomes, the more room there is for error. Luckily, we've got Dr. Maryam Ashoori to guide our agentic ways. Maryam is the Senior Director of Product Management of watsonx at IBM. She joined us at IBM Think 2025 to break down agentic AI done right. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Agentic AI Benefits for EnterprisesWatson X's New Features & AnnouncementsAI-Powered Enterprise Solutions at IBMResponsible Implementation of Agentic AILLMs in Enterprise Cost OptimizationDeployment and Scalability EnhancementsAI's Impact on Developer ProductivityProblem-Solving with Agentic AITimestamps:00:00 AI Agents: A Business Imperative06:14 "Optimizing Enterprise Agent Strategy"09:15 Enterprise Leaders' AI Mindset Shift09:58 Focus on Problem-Solving with Technology13:34 "Boost Business with LLMs"16:48 "Understanding and Managing AI Risks"Keywords:Agentic AI, AI agents, Agent lifecycle, LLMs taking actions, WatsonX.ai, Product management, IBM Think conference, Business leaders, Enterprise productivity, WatsonX platform, Custom AI solutions, Environmental Intelligence Suite, Granite Code models, AI-powered code assistant, Customer challenges, Responsible AI implementation, Transparency and traceability, Observability, Optimization, Larger compute, Cost performance optimization, Chain of thought reasoning, Inference time scaling, Deployment service, Scalability of enterprise, Access control, Security requirements, Non-technical users, AI-assisted coding, Developer time-saving, Function calling, Tool calling, Enterprise data integration, Solving enterprise problems, Responsible implementation, Human in the loop, Automation, IBM savings, Risk assessment, Empowering workforce.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7SSummaryIn this conversation, Ryan Staley discusses how to deploy Agentic automations in ChatGPT in three simple steps. He highlights the advanced reasoning and memory features of the latest version, demonstrating how to create and manage tasks effectively. Staley shares insights on dynamic task customization and the potential of automation to enhance productivity and business transformation.Chapters00:01 Introduction to Agentic Automations in ChatGPT02:52 Exploring Advanced Reasoning and Memory Features06:12 Creating and Managing Tasks Effectively09:04 Dynamic Task Customization and Automation Insights

Join us this week on The Tech Leaders Podcast, as Gareth sits down with Joseph Connor, Chairman of Agentic AI specialist, CarefulAI and Professor at UCL and formerly Director of AI innovation at NHS England. Joseph talks about his allegiance to the NHS, his love of Stoicism, and his experiences building AI agents for businesses. On this episode Joseph and Gareth discuss why innovation is difficult in the public sector, how AI can help with effective ITAM and compliance, how to prevent it from stealing your IP, and how to make sure everyone benefits from Agentic AI.Time Stamps: Good leadership and Joseph's early days (2:30) Lessons learned and musings on Stoicism (7:19) Allegiance to the NHS (11:10) Careful AI (15:20) What is Agentic AI? (23:48) Maintaining control of AI Agents (30:44) Always read the terms and conditions (35:55) Concerns around the next five years of AI (40:10) AI in education (49:10) Conclusions (53:48) https://www.bedigitaluk.com/

In this podcast episode, Dawn Tiura interviews Remi Legorrec, the CRO and co-founder of Flowie, an AI-powered orchestration platform for procurement and finance. Remi shares insights from his experience at the pitch showdown during the Global Executive Summit, his background in engineering and strategic consulting, and the evolution of Flowie. The conversation delves into the concepts of agentic orchestration, intelligent automation, and the role of generative AI in procurement. Remi emphasizes the importance of collaboration, data security, and the need for human involvement in decision-making processes, while also addressing concerns about AI hallucinations and biases. 

The endless excitement around Agentic AI might seem to eclipse the traditional blocking and tackling of data management, but don't be fooled. The fundamentals of working with data are now more important than ever. If anything, the lure of AI puts added pressure on teams to button down their data pipelines and move closer to optimal data orchestration, whether for data warehousing, RAG models, or training the next generation of deep learning modules. Register for this episode of InsideAnalysis to learn best practices for getting your data house in order! Host @eric_kavanagh will explain why Responsible AI starts and ends with data quality. He'll be joined by Ariel Pohoryles and Mani Gill of Boomi, who will demonstrate why optimal data flows will be crucial for success with AI. Attendees will learn: the power of data orchestration for optimizing AI why a platform approach to data management is crucial the importance of feeding AI Agents with trusted, real-time data how organizations can overcome data inertia to catch the AI train

Nathan Sobo is back talking about the next big thing for Zed—agentic editing! You now have a full-blown AI-native editor to play with. Collaborate with agents at 120fps in a natively multiplayer IDE.

Co-founder & CEO of Landbase, Daniel Saks, delves into the transformative impact of Agentic AI on sales and marketing strategies. Discover how Landbase, the world's first agentic AI platform, revolutionizes go-to-market processes with its GTM-1 Omni suite. Gain insights from Daniel Saks on leveraging AI to automate, unify, and optimize sales and marketing workflows for scalable lead generation. Show NotesConnect With: Daniel Saks: Website // LinkedInThe MarTech Podcast: Email // LinkedIn // TwitterBenjamin Shapiro: Website // LinkedIn // TwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Co-founder & CEO of Landbase, Daniel Saks, delves into the transformative impact of Agentic AI on sales and marketing strategies. Discover how Landbase, the world's first agentic AI platform, revolutionizes go-to-market processes with its GTM-1 Omni suite. Gain insights from Daniel Saks on leveraging AI to automate, unify, and optimize sales and marketing workflows for scalable lead generation. Show NotesConnect With: Daniel Saks: Website // LinkedInThe MarTech Podcast: Email // LinkedIn // TwitterBenjamin Shapiro: Website // LinkedIn // TwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of FinTech Layer Cake, host Reggie Young welcomes back Simon Taylor—fintech thought leader, writer of Fintech Brainfood, and Head of Strategy & Content at Sardine.They explore the rapidly emerging world of agentic payments and what Visa's new tokenization framework means for AI-driven commerce. Simon also unpacks real-world use cases, from “vibe shopping” to automated business purchasing, and what hurdles—like consumer trust and fraud—still stand in the way.The conversation then shifts to Sardine's groundbreaking Agentic Oversight Framework, which shows how AI agents can safely handle complex compliance tasks like KYC.Whether you're building AI tools, working in compliance, or just curious about the next frontier in payments—this is an essential listen.

In this episode, host Joe Colantonio dives deep into the future of AI in DevOps with Bridges Smith, the VP of Product Management for AI at SmartBear. With over 25 years of experience leading innovations in product development, machine learning, and AI, Bridges brings a wealth of firsthand insights on how AI is rapidly evolving and shaping how developers and testers work. Together, Joe and Bridges explore the shift from basic generative AI to the rise of agentic AI. These AI systems can make decisions and automate more complex tasks within DevOps and testing pipelines. They discuss the importance of keeping humans in the loop, how AI is tackling mundane and repetitive tasks to free up creativity, practical strategies for successfully integrating AI tools, and what metrics you should track to measure real gains. You'll also hear about SmartBear's unique approach to embedding AI directly into workflows—accelerating testing, documentation, and observability—plus real-world use cases where these advancements are already making a difference. Whether you're optimistic or skeptical about AI's impact on the software industry, this episode is packed with actionable insights on future-proof your skills and embrace what's next in DevOps and AI. Tune in, learn what's hype and what's real, and get ready to take your DevOps toolchain to the next level! Visit their AI hub to see how AI is shaping the future of software testing: https://testguild.me/aihubs  

Nathan Sobo is back talking about the next big thing for Zed—agentic editing! You now have a full-blown AI-native editor to play with. Collaborate with agents at 120fps in a natively multiplayer IDE.

Welcome to The Ecommerce Braintrust podcast, brought to you by Julie Spear, Head of Retail Marketplace Services, and Jordan Ripley, Director of Retail Operations. This is your April edition of the Retail Round-Up! In today's episode, we dive into the latest trends shaking up the retail media landscape, from AI-driven shopping innovations and Walmart's evolving media strategy to concerns about Prime Day restock limits and the ongoing impact of tariffs. The retail media space is moving fast, and there's no sign of slowing down. We're excited to welcome special first-time guest Shahrez Anjum, Senior Account Manager at Acadia, alongside our media expert and friend of the pod, Ross Walker, Director of Retail Media at Acadia. Tune in to stay ahead of the curve!   KEY TAKEAWAYS In this episode, Julie, Jordan, Ross, and Shahrez discuss: Amazon recently introduced two major AI-driven features that signal a fundamental shift in how product discovery and shopping journeys will operate: Interests AI and Buy for Me. Interests AI is a product discovery tool that allows Amazon shoppers to enter detailed prompts reflecting their hobbies and passions.  Buy for Me, currently in beta, uses agentic AI to place orders on third-party brand websites directly from the Amazon app. Amazon has introduced tighter control over off-site placements, which allows advertisers to manage their spend on external platforms more effectively. Walmart has made two significant updates to its media offering through Walmart Connect, adding Vizio inventory for media buying and the ability to do advanced targeting for on-site display ads.  Amazon has made significant strides in simplifying and enhancing how advertisers can interact with its audience targeting capabilities, particularly by integrating AMC (Amazon Marketing Cloud) audiences into its ad console. Native Bid Boosters: Amazon is making it easier for advertisers to access and use audience segments directly within the ad console. The ongoing discussions around tariffs and their potential impact on retail prices have become a recurring topic in the e-commerce space, especially in relation to Amazon. As Prime Day approaches, concerns about restock limits and potential supply chain challenges are rising. In particular, there are indications that Amazon may reintroduce restock limits, a measure previously used to manage inventory flow.

As generative AI increasingly takes hold across the federal government, a class of that greater tech discipline called agentic AI is also gaining momentum. Think of it like an AI sidekick. Agentic AI moves beyond rules-based AI assistants of the past to act autonomously to accomplish something without the need for constant human intervention. According to Jonathan Alboum, federal CTO of ServiceNow and a former federal CIO at USDA, agentic AI holds massive potential for the future of the federal government, particularly amid the Trump administration's slashing of the federal workforce and placing a premium on efficiency. Alboum joins the podcast to discuss that, some exciting news from ServiceNow's Knowledge conference this week in Las Vegas and his thoughts on how federal CIOs are managing ongoing consolidation of federal IT programs. President Donald Trump's fiscal 2026 budget proposal would slash $491 million from the budget of the Cybersecurity and Infrastructure Security Agency, according to a summary released Friday. That would amount to a nearly 17% reduction to the agency's approximately $3 billion budget. The administration did not release a detailed itemization of the cuts, only an outline. “The Budget refocuses CISA on its core mission — Federal network defense and enhancing the security and resilience of critical infrastructure — while eliminating weaponization and waste,” a summary reads. In broad strokes, if approved by Congress, the budget would target for reduction what it identified as “so-called” disinformation and misinformation programs and offices; “duplicative” programs of other programs at the state and federal level; “external engagement offices such as international affairs”; and consolidate “redundant security advisors and programs.” A startup founder and Department of Government Efficiency associate named Sam Corcos is the new chief information officer of the Treasury Department, according to a person within the agency. Corcos was introduced with that title at a recent meeting for Treasury bureau chief information officers, the person added. Corcos, who most recently helped create a health company called Levels, had been representing DOGE in the Treasury Department, with the official title of special advisor. Corcos, who has appeared on Fox News with Treasury Secretary Scott Bessent, has said his top priority is looking at the operations and maintenance budget, as well as modernization, at the IRS. He's also sought access to government data and, according to Wired, was involved in an effort to organize an IRS hackathon. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

In this episode of the AI in Action podcast, our host, David Levy, is joined by Steve Moss, Director of watsonx Americas at IBM, to discuss HR, agentic AI, and the real-world impact of IBM's transformation journey. Dive into this insightful conversation to get an insider's look at how IBM has integrated AI agents into the HR workflow—and how you can harness their power, too. Agentic AI drives strategic shifts, boosts productivity and scales teams effectively. Learn what it takes to advance from traditional AI to agentic AI in HR and beyond. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Agentic AI has the potential to revolutionize healthcare operations by automating tasks, predicting challenges, and optimizing workflows. In this episode, Harpaul Sambhi, founder and CEO of Magical, explores how AI employees are transforming the workplace and addressing inefficiencies in healthcare. He highlights the burden of tedious tasks and technology integration challenges that shift focus away from patient-centric care. Harpaul contrasts the adaptability of Agentic AI, exemplified by Magical's AI employee earning an HFMA certification, with the limitations of Robotic Process Automation (RPA). He emphasizes that RCM leaders are embracing Agentic AI for its intelligence and scalability while advising healthcare executives to prioritize clarity, collaboration, and adaptability in digital transformation. Join us and discover how Agentic AI can provide a competitive advantage and transform healthcare operations! Resources: Connect with and follow Harpaul Sambhi on LinkedIn. Learn more about Magical on their LinkedIn and website.

What does it actually take to build agentic AI applications that hold up in the real world? In this episode, Ashok sits down with Austin, founder of Focused, to share field stories and hard-won lessons from building AI systems that go beyond flashy demos. From legal assistants to government transparency tools, Austin breaks down the concrete criteria for identifying where AI makes sense — and where it doesn't. They unpack how to find the right starting point for your first agentic app, why integration with legacy systems is the real hurdle, and the engineering must-haves that keep AI behavior safe and reliable. You'll hear practical guidance on designing eval frameworks, using abstraction layers like LangChain, and how observability can shape your development roadmap just like in traditional software. Whether you're a product leader or a CTO, this conversation will help you distinguish hype from real opportunity in AI. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Inside the episode... A practical checklist for identifying your first AI-powered app The hidden cost of "AI for AI's sake" and where traditional software is better Why repetitive knowledge work is prime territory for automation How Focused helped Hamlet build an AI for parsing government meeting data Where read-only data access gives you a safe starting point Why integration is often more complex than the AI itself The importance of eval frameworks and test-driven LLM development How to use observability to continuously improve AI agent behavior Speed vs. believability: surprising lessons from Groq-powered inference Using multiple models in one system and LLMs to QA each other Mentioned in this episode Hamlet (government transparency startup) - https://www.myhamlet.com/?convergence  LangChain - https://www.langchain.com/?convergence  Groq - https://groq.com/?convergence  Claude (Anthropic) - https://claud.ai/?convergence  Dspy Prompting framework - https://dspy.ai/?convergence  Shopify AI memo (referenced) - https://convergence.fm/episode/shopifys-leaked-ai-mandate-explained-6-takeaways-for-your-product-team?convergence Amazon Bedrock / SageMaker - https://aws.amazon.com/bedrock/?convergence Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence

In this episode, Maribel speaks with  Shub Bhowmick, the CEO and Co-founder of Tredence on how its using AI internally and externally. Bhowmick also provides advice on what's important for enterprise buyers looking to leverage AI. TakeawaysThe shift from proof of concept to proof of value is crucial for businesses.AI is enabling organizations to achieve more with fewer resources.Agentic solutions are becoming increasingly relevant in various industries.Internal innovations at Treatance are focused on developing interconnected AI agents.Organizations must prepare for a future where they need to do more with less.Crawl, walk, and run is a practical approach to AI implementation.Creating a robust monitoring and operations foundation is essential.Small language models can be more effective and cost-efficient than larger models.AI can significantly enhance productivity and creativity in the workplace.Health and personal well-being are important considerations in a fast-paced professional environment.Sound Bites"Proof of value is the new proof of concept.""AI is enabling you to do more with less.""Agents are like smart interns, very analytical.""The speed of AI is moving much faster.""AI can 10x your productivity.""Crawl, walk, and run with AI implementation.""Small language models are the new thing."Chapters00:00Introduction to Treatance and AI Trends07:28Emerging Use Cases in AI11:46Real-World Applications of AI in Business18:33Internal Innovations at Treatance30:33Advice for Organizations on AI Implementation

This week on The Audit Podcast, we've gathered the best moments from our conversations with Agentic AI experts—featuring standout insights from Charles King, John Thompson, and Andrew Clark.   Be sure to follow us on our new social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes:   4:46- Charles King: Understanding the Fundamentals of Agentic AI   7:52 - John Thompson: Using Agents to Help Auditors Focus on What Matters Most   11:28 - Andrew Clark: Challenging the Conventional Thinking on Agentic AI   19:06 - Trent Russell: How Audits Fit Into the World of Agentic AI   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.  

New Relic's Head of AI and ML Innovation, Camden Swita discusses their four-cornered AI strategy and envisions a future of "agentic orchestration" with specialized agents.Topics Include:Introduction of Camden Swita, Head of AI at New Relic.New Relic invented the observability space for monitoring applications.Started with Java workloads monitoring and APM.Evolved into full-stack observability with infrastructure and browser monitoring.Uses advanced query language (NRQL) with time series database.AI strategy focuses on AI ops for automation.First cornerstone: Intelligent detection capabilities with machine learning.Second cornerstone: Incident response with generative AI assistance.Third cornerstone: Problem management with root cause analysis.Fourth cornerstone: Knowledge management to improve future detection.Initially overwhelmed by "ocean of possibilities" with LLMs.Needed narrow scope and guardrails for measurable progress.Natural language to NRQL translation proved immensely complex.Selecting from thousands of possible events caused accuracy issues.Shifted from "one tool" approach to many specialized tools.Created routing layer to select right tool for each job.Evaluation of NRQL is challenging even when syntactically correct.Implemented multi-stage validation with user confirmation step.AWS partnership involves fine-tuning models for NRQL translation.Using Bedrock to select appropriate models for different tasks.Initially advised prototyping on biggest, best available models.Now recommends considering specialized, targeted models from start.Agent development platforms have improved significantly since beginning.Future focus: "Agentic orchestration" with specialized agents.Envisions agents communicating through APIs without human prompts.Integration with AWS tools like Amazon Q.Industry possibly plateauing in large language model improvements.Increasing focus on inference-time compute in newer models.Context and quality prompts remain crucial despite model advances.Potential pros and cons to inference-time compute approach.Participants:Camden Swita – Head of AI & ML Innovation, Product Management, New RelicSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Ivan Pylypchuk, the CEO of Softblues, and Olha Pylypchuk, the company’s COO. In today’s discussion, we’ll explore: What Agentic AI is and why it’s poised to disrupt traditional business processes, how Ivan and Olha are leveraging multi-agent systems to solve domain-specific challenges and deliver business transformation, and the future of AI agents and their role in shaping the workplace of tomorrow. KEY TAKEAWAYS If you talk about traditional AI systems, they can handle one simple, specific task, such as image recognition, data classification, content generation. Agentic AI is more autonomous and capable of complex decision making across multiple steps. Our approach is focussed on controlled, multi-agent systems. The biggest challenge companies face is collecting data and putting it together. Often, companies have their valuable data spread across different systems and departments, like customer databases, email records, business software. These don’t always talk to each other. To have an effective AI implementation, you must make sure that all this data is collected neatly and accurately. Surprisingly, some companies don’t know how their people work. When you observe their processes sometimes, they miss important details about their daily operations which can create a lot of wasted investment when we rectify these mistakes afterwards. That’s why we invest a lot of time work with and talking to the businesses about how their workflows move from point A to B. Then we can enhance them with the help of AI. How team members embrace this technology is very important. Even a perfect solution will fail it teams don’t use it. We create simple interfaces and make sure our systems explain their recommendations in plain language. This approach improves the understanding of how AI works dramatically and build trust. BEST MOMENTS ‘Agentic AI gives us scalability in different domains, explainability to understand what it’s doing, so we can provide the exact information that is needed across an organisation.’ ‘It’s important to start very small, on a piece of a project so the AI can show clearly its quick results. After the goal has been demonstrated, then we scale the solution.’ ‘Our recruitment solution help reduced time to hire by 60% and provided an increase in the quality of hires by 40%.’ ‘It gives you more time to do strategic work that brings more value to the business than managing this data.’ ABOUT THE GUEST Ivan Pylypchuk is the CEO and AI Solution Architect at Softblues, a company specializing in building multi-agent AI systems to tackle real-world business challenges. LinkedIn Olha Pylypchuk is the Co-founder and Chief Operating Officer of Softblues, where she drives operational excellence and spearheads AI-driven business automation initiatives. LinkedIn ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook TikTok Email Website

OpenAI's newest models are already topping the charts. It's almost like another week, another chart-topping AI release from a big player. So what's different about OpenAI's new o3 (and o4 mini)?And is it really better than Google's super impressive Gemini 2.5 Pro? Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI o3's Advanced Tool Useo3 Versus o4 Model ComparisonAgentic AI: o3's Tool Chainingo3 Full Model's Global BenchmarksLimitations of o3 in Practical UseOpenAI's Image and Python Capabilitieso3 and o4 Mini Context LimitsAI Model Intermodel CommunicationTimestamps:00:00 OpenAI's new models02:30 Daily AI news06:50 Most powerful models?09:05 New OpenAI O-Series Released11:54 O Three: Powerful AI Model16:30 ChatGPT Context and Safety Enhancements18:09 ChatGPT's New Features Overview22:21 "Gemini 2.5 vs. O Series"24:41 "Hybrid Language Models Prevail"29:03 Top AI Model: O3 and O432:05 "OpenAI Browsing Benchmark Update"35:33 GPT Usage Strategy: O3 vs. O4 Mini38:06 Comparing Models in Autonomous Decisions41:33 "Analyzing AI Tools: A Guide"44:44 OpenAI's GPT-5 Release DelayedKeywords:OpenAI's o3, OpenAI's o4, Most powerful AI model, OpenAI vs Google, AI news updates, Huawei 910c chip, US restrictions on NVIDIA, Competitive AI chips, OpenAI memory with search, AI in education, AI executive order, K-12 AI training, ChatGPT, Autonomous AI, Agentic AI models, o series models, AI model naming issues, AI tool use, Visual input reasoning, AI context window, 200k token context, AI reasoning capabilities, AI benchmarks, Large Language Models, AI model speed and efficiency, Agentic tool chaining, AI coding capabilities, AI's impact on education, AI-driven insights, AI model comparison, Chain of Thought reasoning.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Glean is a workplace search and knowledge discovery company that helps organizations find and access information across various internal tools and data sources. Their platform uses AI to provide personalized search results to assist members of an organization in retrieving relevant documents, emails, and conversations. The rise of LLM-based agentic reasoning systems now presents new The post Agentic AI at Glean with Eddie Zhou appeared first on Software Engineering Daily.