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The integration of Artificial Intelligence (AI) into post-injury rehabilitation is transforming recovery paradigms by enabling personalized, adaptive, and efficient rehabilitation pathways tailored to individual patient needs. This podcast reviews the current advances in AI applications that facilitate assessment, monitoring, and optimization of rehabilitation programs following injuries. Through machine learning algorithms, wearable sensors, and predictive analytics, AI enhances the precision of therapy plans, tracks patient progress in real-time, and predicts recovery trajectories. The discussion includes the benefits of AI-driven rehabilitation, including improved functional outcomes, reduced recovery times, and increased patient engagement. It also addresses challenges such as data privacy, algorithmic bias, and integration with clinical workflows. 1. Transforming recovery paradigms Traditional post‑injury rehab relies on periodic in‑person assessments, therapist intuition, and standardized protocols that only partially account for individual variability. AI is shifting this model toward: Continuous, data‑driven care: Instead of snapshots in clinic, rehab can be informed by near real‑time streams of kinematic, physiological, and behavioral data from wearables, smart devices, and robot interfaces. Dynamic adaptation: Therapy intensity, task difficulty, and exercise selection can be automatically adjusted based on ongoing performance, fatigue, and recovery trends, rather than fixed schedules. Precision rehabilitation: Algorithms can identify which patients are likely to respond to specific interventions (e.g., constraint‑induced movement therapy vs robotics) and tailor plans accordingly. This moves rehabilitation from a "one‑size‑fits‑many" paradigm toward precision, context‑aware therapy, analogous to precision oncology but focused on function and participation. 2. Assessment, monitoring, and optimization AI for assessment Sensor‑based movement analysis: Machine learning models process accelerometer, IMU, EMG, and pressure data to quantify gait symmetry, joint kinematics, balance, and fine motor control with higher resolution than visual observation alone. Automated scoring: AI can approximate or support standardized scales (e.g., Fugl‑Meyer, Berg Balance Scale) by mapping sensor features or video-derived pose estimates to clinical scores, reducing inter‑rater variability and saving clinician time. Continuous monitoring Home and community tracking: Wearable and ambient sensors enable monitoring of daily steps, walking speed, arm use, posture, and adherence to exercises outside the clinic, feeding rich longitudinal datasets into AI models. Real‑time alerts: Algorithms can detect abnormal patterns—such as increased fall risk, reduced limb use, or signs of over‑exertion—and flag the clinician or adjust digital therapy content automatically. Optimization and decision support Predictive models: Using historical data, AI can forecast functional gains, plateau points, or risk of complications (e.g., falls, readmission), supporting individualized goal‑setting and resource allocation. Reinforcement learning and "digital twins": Emerging work in neurorehabilitation treats rehab as a sequential decision problem, using model‑based reinforcement learning and patient "digital twins" to recommend optimal timing, dosing, and progression of interventions over weeks to months. 3. Technologies: ML, wearables, analytics Machine learning algorithms: Supervised ML classifies movement quality (normal vs compensatory), detects exercise type from sensor streams, and estimates clinical scores. Unsupervised learning clusters patients into phenotypes (e.g., gait patterns after stroke), revealing subgroups that respond differently to certain therapies. Reinforcement learning and contextual bandits explore which therapy adjustments yield the best long‑term functional outcomes for a given individual. Wearable sensors and robotics: Inertial sensors, EMG, pressure insoles, and exoskeleton sensors capture high‑frequency movement and muscle activity data during training. Robotic devices (upper‑limb exoskeletons, gait trainers) coupled with AI can modulate assistance, resistance, or task difficulty in real time based on performance and predicted fatigue. Predictive and prescriptive analytics: Predictive analytics estimate trajectories (e.g., time to independent walking, expected upper‑limb function) to inform shared decisions with patients and families. Prescriptive analytics recommend therapy intensity, modality mix, and scheduling to maximize functional gains under resource constraints. 4. Benefits: outcomes, efficiency, engagement Improved functional outcomes: Studies report better motor recovery, gait quality, and ADL performance when AI‑assisted training is used—especially when robotics and intelligent feedback are involved. Reduced recovery time and resource use: More precise dosing and earlier identification of non‑responders can reduce ineffective sessions, shorten time to key milestones, and support safe earlier discharge with robust remote follow‑up. Increased adherence and engagement: AI‑driven digital rehab platforms use gamification, adaptive difficulty, and personalized feedback to keep patients engaged in home programs, improving adherence compared to static paper instructions. Support for clinicians: Instead of replacing therapists, AI can offload repetitive measurement tasks, highlight concerning trends, and offer data‑driven suggestions, allowing clinicians to focus on relational, motivational, and complex decision‑making aspects of care. 5. Challenges and ethical considerations Data privacy and security: Rehab AI often relies on continuous collection of sensitive motion, physiological, and sometimes audio/video data, raising questions about consent, storage, secondary use, and breach risk. Approaches like federated learning and on‑device processing are being explored to reduce centralization of identifiable data while still enabling model training. Algorithmic bias and fairness: If training data under‑represent older adults, women, certain racial/ethnic groups, or people with severe disability, AI models may misestimate performance or risk for those groups, potentially widening disparities in rehab access and outcomes. Ongoing auditing, diverse datasets, and participatory design with patients and clinicians are needed to ensure equitable performance. Integration with clinical workflows: Many AI tools are developed in research settings and are not yet seamlessly integrated into EHRs, scheduling systems, or therapist documentation workflows. Poorly integrated tools risk adding documentation burden or "alert fatigue," reducing adoption. Successful implementations co‑design interfaces with frontline therapists and physicians. Regulation, liability, and trust: It remains unclear in many jurisdictions how to regulate adaptive rehab algorithms (as medical devices, clinical decision support, or wellness tools) and who is liable when AI‑informed plans cause harm. Transparent, explainable models and clear communication to patients about the role of AI are critical for maintaining trust. 6. Case studies and emerging trends Remote and hybrid digital rehabilitation: AI‑driven platforms providing home‑based stroke, orthopedic, or Parkinson's rehab with clinician dashboards are improving adherence and extending care beyond brick‑and‑mortar clinics. Collaborative AI for precision neurorehabilitation: Frameworks combining patient‑clinician goal setting, digital twins, and reinforcement learning exemplify "collaborative AI" that augments rather than replaces therapists. Multimodal personalization: Integration of movement data, EMG, heart rate, sleep, and self‑reported pain/fatigue is enabling more nuanced adaptation to daily fluctuations in capacity. Conversational AI for education and coaching: Early work is assessing tools like ChatGPT as low‑risk supports for exercise education and motivation, though they are not yet precise enough to replace professional plan design AI is moving rehab toward patient‑centered, continuously adapting, and data‑rich care, but realizing this promise depends on addressing privacy, bias, workflow, and regulatory challenges in partnership with clinicians and patients.
Plus - Reddit is testing a new AI search feature for shopping; YouTube's latest experiment brings its conversational AI tool to TVs Learn more about your ad choices. Visit podcastchoices.com/adchoices
Customer conversations generate value. Yet most organizations never connect that value to action. Context gets lost across channels, and next steps never connect to downstream systems. This week on The Modern Customer, Ali Tore, RingCentral's SVP & GM of Conversational AI, shares how agentic voice AI closes that gap. He outlines why organizations must move beyond isolated automation and build systems that coordinate conversations, context, and follow-through across every touchpoint. If you want AI to drive real customer outcomes — not just efficiency — this episode is for you.
Are you an entrepreneur who wants to scale but worries that automation will make you sound "robotic"? Do you feel like you have to be online 24/7 just to catch potential leads? In this episode, Mackensie Liberman, founder of Orca Marketology, reveals how to leverage the power of Conversational AI to grow your business without sacrificing your personal touch. Mackensie shares her inspiring journey of taking a chance on herself—quitting her job in a lab to build a business that gave her and her family true freedom. Now, she helps other entrepreneurs achieve that same freedom by implementing "smart" systems that work while they sleep. In this interview, you will discover: • Authentic Automation: Why You Need It & How to Keep It "You" • Website Widgets for Automated Connections • ManyChat Magic: Organic Leads via Message Marketing Join Us for Conversational AI: Real Connections, Automated Results and please help get the word out and share with those who may need a business boost. Each #IBWS provides "a Goldmine of Entrepreneurial Tips, Strategies and Advice to grow your business to new Heights of Success from Inspirational Business Women in the Know.”
From IVRs to multimodal AI experiences, the hardest problems are rarely technical. In this episode, we dive into the evolving landscape of conversational AI and enterprise automation with Anne Cantera, Senior Product Designer at Optimum. With extensive experience in transforming traditional IVR systems into conversational interfaces, Anne shares valuable insights on the practical implementation of AI in customer service environments.We explore the concept of 'hybrid architecture' in AI implementation, discussing how combining rule-based automation with generative AI often provides the optimal solution for enterprise needs. Anne explains how her team strategically deploys generative AI in low-risk scenarios while maintaining deterministic approaches where precision is critical, particularly in their recently launched NLU routing system.The conversation also covers the importance of customer-centric design in AI implementations, with Anne emphasising that the ultimate goal should be making experiences simpler for customers rather than focusing solely on containment metrics. We discuss how different industries approach AI adoption based on their risk profiles and how businesses are navigating the challenges of integrating new technologies with legacy systems.Show notesFollow Anne on LinkedInFollow Kane Simms on LinkedInTake our updated AI Maturity AssessmentSubscribe to VUX WorldSubscribe to The AI Ultimatum Substack Hosted on Acast. See acast.com/privacy for more information.
We are living through an unmistakably accelerated era of technological transformation. History shows that periods like this often reshape not only how organizations operate but also how individuals relate to one another and engage with the world.Looking back, the impact of major technological shifts seems obvious. But living through them is far more complex. On any given day, headlines announce CEOs radically reorganizing around artificial intelligence and replacing roles once held by people, while other reports note that many companies have yet to realize measurable benefits from their significant AI investments.The reality is that the long‑term implications—for business, society, and our daily lives—are still unfolding. Organizations must therefore be thoughtful and strategic, not reactive, in how they adopt and integrate AI technologies.This week, we're fortunate to explore these questions with Hakob Astabatsyan, founder of Synthflow.ai, an end‑to‑end Voice AI platform that aims to “redefine how enterprises connect with customers.” Our conversation goes well beyond Synthflow's product offering to examine the evolving nature of AI itself.We discuss the technical and philosophical challenges of building AI‑driven voice orchestration systems capable of mimicking human conversation. Hakob reflects on the current limitations of AI—particularly in handling emotional nuance—and the possibilities for AI tools to simulate empathy in certain contexts. He also explains Synthflow's Visual Conversational Flow Builder, which enables organizations to design guided conversational paths that help customers navigate interactions more effectively and improve outcomes.Throughout our discussion, Hakob emphasizes a central point: AI should enhance human capabilities, not replace them. While disruption is inevitable, the greater opportunity lies in elevating uniquely human skills—critical thinking, creativity, communication, and collaboration. This shift will require educational institutions to rethink what and how they teach in order to prepare students for the world emerging around us.Hakob also looks ahead, predicting that 2026 will be a pivotal year for AI adoption, driven not by futuristic breakthroughs but by improvements in usability, accessibility, and seamless integration into everyday business operations.Hakob Astabatsyan: https://www.linkedin.com/in/hakob-astabatsyan/Synthflow.ai: https://synthflow.ai/
We're back! Explore the future of artificial intelligence in the year 2026 with Patrick McGarry, Federal Chief Data Officer at ServiceNow, and Dr. Jupiter Bakakeu, Lead Generative AI Technologist at Alteryx. This milestone 200th episode examines the critical shift from AI as an answer machine to AI as an autonomous work agent capable of executing tasks independently. Learn about the four characteristics of AI agents (perceive, reflect, act, learn), discover which tasks organizations should and shouldn't delegate to AI, and understand why modernization, trust, and governance matter more than model selection. Panelists:Patrick McGarry, Federal Chief Data Officer @ ServiceNow - LinkedInJupiter Bakakeu, Lead Generative AI Technologist @ Alteryx - LinkedInJoshua Burkhow, Chief Evangelist @ Alteryx - @JoshuaB, LinkedInShow notes: ServiceNowAlteryxData.world"Beyond the Algorithm" by Patrick McGarry (upcoming publication) Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Cecilia Murray, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.
On this week's show we look at the annual Consumer Electronics Show inLas Vegas Nevada. In years past there was more for us home theater fans but we still find some cool products that will eventually find their way into our homes. News: More than 60% of audiences use TV as primary streaming device Which sports will Netflix have in 2026? LG Key Highlights Return of the Wallpaper OLED TV (LG OLED evo W6) — LG revived its iconic ultra-thin "Wallpaper" design after a multi-year hiatus. The W6 is just 9mm thick, fully wireless (with a separate connection box up to 10 meters away), uses Hyper Radiant Color Technology for improved brightness and colors, and supports features like art display via Gallery+ service. It's marketed as reflection-free and significantly brighter than average OLEDs. New OLED Lineup — Including the brighter flagship G6 (up to 20% brighter than the G5 with Primary RGB Tandem 2.0 panels and reduced reflections), split C6 series (with varying tech tiers), and claims of the world's first TVs supporting 4K 120Hz cloud gaming with low-latency controllers. Micro RGB evo TV — LG's first flagship Mini-LED TV with Micro RGB technology for vastly expanded color range and brightness, available in large sizes including the "world's largest" Micro RGB LCD TV, the 130-inch R95H. Gallery TV — A direct competitor to Samsung's The Frame, with anti-glare screens and curated art modes (designed with museum input). CLOiD Home Robot — A standout AI-powered housekeeper robot demoed on stage. It performs complex chores like folding laundry, loading/unloading dishwashers, preparing simple meals (baking croissants), and coordinating with connected appliances for a "Zero Labor Home" vision. LG Sound Suite (with Dolby) - Includes the H7 soundbar, optional M7/M5 wireless surround speakers, and W7 subwoofer. Allows free placement of speakers; the system auto-configures channels for optimal immersion, solving a major pain point in traditional wired or rigidly positioned Atmos setups.Hands-on reports highlighted its ease for real-world living rooms, delivering expansive sound without cables or furniture rearrangement. Samsung Key Highlights World's first 130-inch Micro RGB TV (): The largest in their Micro RGB lineup, featuring next-generation color accuracy (100% Rec.2020 coverage), bold new design, HDR10+ ADVANCED support, Eclipsa Audio, and AI enhancements like conversational search, proactive recommendations, AI Football (Soccer) Mode Pro, and integrations with Microsoft Copilot and Perplexity. AI Soccer Mode delivers a more exciting gameday experience through AI-driven picture and sound tuning to stadium-level quality. AI Sound Controller Pro lets you raise or lower the volume of the crowd, commentary, or background music, providing a personalized listening experience for TV shows and movies. Users can simply make verbal requests, and any TV equipped with VAC – which includes Micro LED, Micro RGB, OLED, Neo QLED, Mini LED and UHD TV – contextually carries out those requests. Expanded Micro RGB TV lineup: New sizes including 55-, 65-, 75-, 85-, 100-, 115-inch models, alongside upgrades to Neo QLED and OLED TVs The Freestyle+ portable projector: An upgraded AI-powered version with improved brightness, support for projecting on uneven surfaces (walls, ceilings, corners, curtains), and smarter entertainment features. New audio products: Music Studio 5 and 7 wireless speakers (Bluetooth/Wi-Fi, unique designs), and soundbars like the HW-QS90H (all-in-one 7.1.2 with Quad Bass Woofer system). Broader AI focus: Enhanced experiences in home appliances (e.g., Bespoke AI), TVs, and ecosystem integration. Press releases Sony No major announcements were made regarding Sony's traditional consumer products, such as new Bravia TVs, headphones, cameras, or PlayStation hardware. Sony's focus shifted toward the future of mobility and software-defined vehicles. TCL Key Highlights X11L SQD-Mini LED TV - as its 2026 flagship. It features new "SQD-Mini LED" technology (Super Quantum Dot Mini-LED), emphasizing superior color accuracy and performance. Features 10,000 Nits, 20,000 dimming zones, 100% coverage of BT.2020 color gamut. Available initially in 98-inch and 85-inch sizes (75-inch later), with launches starting as early as January 2026. Some who have seen it are saying it rivals Micro RGB TVs from competitors like Samsung and LG, potentially challenging OLED in brightness and contrast. A65K Design Series soundbar — A compact 3.1.2-channel Dolby Atmos model with Bang & Olufsen tuning and wireless subwoofer. Hisense Key Highlights RGB MiniLED evo Technology — Hisense introduced an evolved version of its RGB MiniLED backlight system, which adds a fourth primary color to improve accuracy and fill spectral gaps (especially in the 500-600nm range) for more natural and vibrant colors. This debuts in the flagship 116UXS large-screen TV, positioned for premium cinematic home viewing. Expanded RGB MiniLED Lineup — The company is bringing RGB MiniLED to more accessible screen sizes and models, including new UR9 and UR8 series TVs, making the technology available beyond ultra-premium flagships. Industry-First RGBY MicroLED Display — Hisense unveiled a new MicroLED prototype using four primary colors (Red, Green, Blue, Yellow), aimed at future ultra-large screens with enhanced color reproduction. Laser Projection and Other Displays — Extensions of multi-primary color tech to laser projectors, emphasizing better color accuracy and flexible installations. Additional Mentions — New projectors, smart home AI assistants, and support for advanced formats like Dolby Vision 2 on upcoming 2026 MiniLED models (via OTA updates). Home Audio Announcements Budget brand Ultimea surprised with the Skywave X100 Dual, a premium compact system boasting up to 9.2.6 channels across seven modular units.Focuses on high-channel-count immersion in a small footprint, positioning it as an affordable yet powerful alternative for space-constrained home theaters. SVS R|Evolution SeriesAudio specialist SVS debuted the 3000 R|Evolution subwoofers and a new Dolby Atmos soundbar, demonstrated in a full 5.2.4-channel cabin setup for reference-level performance. Klipsch Powered Speakers UpdateKlipsch refreshed its powered lineup with The Fives II, Sevens II, and Nines II, building on heritage horn-loaded designs with modern connectivity, plus concept teases for future innovations.Other mentions included Cambridge Audio's new active bookshelf speakers and various AI-enhanced EQ features across brands, but the Dolby Atmos FlexConnect implementations (especially LG's) stood out as the truly novel leap forward for effortless, high-quality home audio in 2026. The Fives II: $1,399.99/pair USD. The Sevens II: $1,999.99/pair USD. The Nines II: $2,399.99/pair USD Home Automation Announcements The standout trend was humanoid or multi-purpose home robots moving beyond single tasks (like vacuuming) to general household help, embodying a vision of embodied AI. LG CLOiD: LG's flagship reveal was this wheeled, dual-armed AI home robot designed for a "Zero Labor Home." It autonomously handles diverse chores like retrieving items from the fridge, heating food in the oven, folding laundry, and coordinating with other smart appliances. Powered by advanced AI and sensors, it demonstrates real-world household automation in demo setups. SwitchBot onero H1: SwitchBot introduced this accessible humanoid household robot as part of its "Smart Home 2.0" vision. It represents a shift to multi-task embodied AI, going beyond specialized devices to perform varied daily tasks. Accompanied by other AI robotics integrations for intuitive automation. Other mentions included updates like Samsung's AI Jet Bot Steam Ultra (with AI object/liquid recognition for smarter cleaning) and emerging players like 1X NEO, signaling a wave of practical home robotics. Devices are increasingly using on-device AI to automate routines without user programming. Conversational AI and Butler-Style Control: Widespread demos of voice assistants that learn habits and respond to natural commands, turning smart homes into proactive "housekeepers." Sorcerics Lens (CES Innovation Award honoree): An AI hub using on-device computer vision for fully contextual automation of housework, understanding environments to trigger actions intelligently. Lights turn on because the AI recognizes you're reading - not just because you moved. Lights turn off only when the AI understands you're about to sleep - not simply on a routineWhat motion and presence sensors fail to see, Sorcerics AI sees the difference. Govee Smart Lighting Advancements: New lights (e.g., Ceiling Light Ultra) that proactively adjust based on time of day, mood, space usage, and user patterns—rethinking lighting as adaptive rather than reactive. SwitchBot AI MindClip: AI MindClip continuously captures meetings, conversations, and everyday moments, transforming them into structured summaries, actionable to-dos, and a searchable personal knowledge base. Acting as a "second brain" fueled by subscribed cloud AI service, it allows users to retrieve past discussions, reminders, and learning materials on demand, ask questions when details are forgotten, and turn fragmented information into usable insight. Weighing just 18 grams and supporting over 100 languages, AI MindClip helps people organize and recall the growing volume of spoken information they encounter every day, enabling them to think more clearly, work more efficiently, and manage modern life with less cognitive load. Innovative Access and Security Aqara U400 Smart Deadbolt: Uses Ultra-Wideband (UWB) for precise, hands-free unlocking as you approach—more reliable than traditional geofencing/Bluetooth mixes. Lockin V7 Max: Features wireless AuraCharge (recharges within 4 meters) and fast unlocking, earning a CES Innovation Award. SwitchBot's biometric 3D locks with advanced vision. Other Notable Smart Home Innovations Expanded Matter ecosystem support across brands, enabling broader interoperability. Smarter kitchen tech, like Govee's Smart Nugget Ice Maker Pro. Enhanced security cameras with deeper AI context for automation triggers.
In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Miles Spencer, founder of Reflekta, about using AI to preserve the stories and legacies of loved ones. Miles explains how Reflekta enables meaningful, ongoing conversations with elders through AI while prioritizing privacy, ethics, and emotional responsibility.They explore the technical foundations of the platform, the challenges of building trust around deeply personal data, and the business model behind Reflekta. Miles also shares his journey from high school to entrepreneurship and reflects on how technology can foster genuine human connection rather than replace it.00:00 Introduction 02:35 How Reflekta Uses AI05:10 Media Processing and Conversations08:26 Privacy, Security, and Ethics13:25 Miles' Background and Journey27:57 Early Entrepreneurship and Family Challenges36:49 Finance, Venture Capital, and Media44:57 New Ventures and Career Shifts56:54 COVID-19 and Business Impact01:00:04 The Birth of Reflekta01:09:03 Ethical Challenges and the Road AheadConnect with Miles: LinkedIn: https://www.linkedin.com/in/milesspencer/Mentioned in this Episode:Reflekta: https://reflekta.ai/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs
In this episode of the Data Science Salon Podcast, we sit down with Carlos Aguilar, Head of Product at Hex and former founder of Hashboard, to discuss a topic critical for every data team: how to properly evaluate AI analytics tools.Carlos shares why traditional checklist-based evaluations fail for conversational AI and generative analytics tools, and how focusing on context, workflow, and real user testing can dramatically improve the chances of success. Drawing on his experience leading the Data Insights team at Flatiron Health, he provides practical guidance for both end-users and data teams.Key Highlights:End-User vs Data Team Evaluation: Why both perspectives are crucial for measuring AI effectiveness.Context Management: How setting up reference questions ensures accurate and relevant answers.Workflow & Observability: Why monitoring and iterating on AI outputs is essential for real-world success.Lessons from the Field: Examples of tools that look good in demos but fail in production—and how to avoid those pitfalls.
Meta just made a multi-billion acquisition for AI agents.
Today's guest is Baker Johnson, Chief Business Officer at UJET. UJET is a next-generation cloud contact center platform that leverages AI to modernize the customer experience. Baker joins Emerj Editorial Director Matthew DeMello to explain why conversational and agentic AI often fall short in CX, and how legacy processes and fragmented data prevent meaningful results. Baker also offers practical steps for improving ROI — from redesigning workflows before automating them to aligning real-time interaction data with systems of record and building a healthier balance between human and AI agents. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by UJET.
This is a recap of the top 10 posts on Hacker News on December 29, 2025. This podcast was generated by wondercraft.ai (00:30): Kidnapped by Deutsche BahnOriginal post: https://news.ycombinator.com/item?id=46419970&utm_source=wondercraft_ai(01:52): Google is dead. Where do we go now?Original post: https://news.ycombinator.com/item?id=46425198&utm_source=wondercraft_ai(03:14): GOG is getting acquired by its original co-founderOriginal post: https://news.ycombinator.com/item?id=46422412&utm_source=wondercraft_ai(04:36): You can make up HTML tagsOriginal post: https://news.ycombinator.com/item?id=46416945&utm_source=wondercraft_ai(05:58): Show HN: Z80-μLM, a 'Conversational AI' That Fits in 40KBOriginal post: https://news.ycombinator.com/item?id=46417815&utm_source=wondercraft_ai(07:20): List of domains censored by German ISPsOriginal post: https://news.ycombinator.com/item?id=46423566&utm_source=wondercraft_ai(08:42): Tesla's 4680 battery supply chain collapses as partner writes down deal by 99%Original post: https://news.ycombinator.com/item?id=46423290&utm_source=wondercraft_ai(10:05): Show HN: Vibe coding a bookshelf with Claude CodeOriginal post: https://news.ycombinator.com/item?id=46420453&utm_source=wondercraft_ai(11:27): You can't design software you don't work onOriginal post: https://news.ycombinator.com/item?id=46418415&utm_source=wondercraft_ai(12:49): Staying ahead of censors in 2025Original post: https://news.ycombinator.com/item?id=46417844&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai
What if the most valuable part of your next conversation with an AI wasn't the answer it gave, but the ad it served? Agility requires more than just adopting new platforms; it demands a complete re-imagination of how brands provide value within them. It challenges us to move from interruption to integration, ensuring our presence is not only seen but welcomed. Today, we're going to talk about a potentially significant shift in digital marketing: the collision of conversational AI and advertising. As large language models become the new interface for information and interaction, brands are facing a critical question—how do you participate in that conversation authentically and effectively, without destroying the user experience? We'll explore how to navigate this new frontier not as intruders, but as valuable contributors. To help me discuss this topic, I'd like to welcome, Andrea Tortella, CEO at Thrad. About Andrea Tortella Andrea Tortella on LinkedIn: https://www.linkedin.com/in/andrea-tortella Resources Thrad: https://www.thrad.ai/ The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://ratethispodcast.com/agileConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company
What if the most valuable part of your next conversation with an AI wasn't the answer it gave, but the ad it served? Agility requires more than just adopting new platforms; it demands a complete re-imagination of how brands provide value within them. It challenges us to move from interruption to integration, ensuring our presence is not only seen but welcomed. Today, we're going to talk about a potentially significant shift in digital marketing: the collision of conversational AI and advertising. As large language models become the new interface for information and interaction, brands are facing a critical question—how do you participate in that conversation authentically and effectively, without destroying the user experience? We'll explore how to navigate this new frontier not as intruders, but as valuable contributors. To help me discuss this topic, I'd like to welcome, Andrea Tortella, CEO at Thrad. About Andrea Tortella Andrea Tortella on LinkedIn: https://www.linkedin.com/in/andrea-tortella Resources Thrad: https://www.thrad.ai/ The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://ratethispodcast.com/agileConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company
In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Peter Swimm, founder of Toilville, about the future of AI and workplace automation. Peter shares insights from his long career in technology—from Microsoft to building large-scale conversational AI systems—and discusses the growing need for strong governance around AI usage. They explore privacy and IP concerns, the pitfalls of “vibe coding,” and why documentation and trust logs are essential for safe and effective AI adoption. The conversation also dives into generational shifts in education, the impact of COVID-19 on the job market, and how AI can enhance productivity without replacing authenticity.00:00 Introduction03:09 AI and Workplace Automation05:51 Privacy, IP, and Safety Concerns08:50 Vibe Coding and Development Challenges12:04 Governance and Compliance14:49 Evolution of AI Tools20:53 Early Tech Experiences31:28 Cultural Perspectives on AI36:31 AI and the Future of Education42:44 Career Paths and Experience50:54 Early Conversational AI56:15 COVID-19 and Contact Centers59:00 AI's Future in Business01:02:42 From Microsoft to Entrepreneurship01:13:44 Navigating the AI Landscape01:28:02 Empowering Businesses with AI SolutionsConnect with Peter: LinkedIn: https://www.linkedin.com/in/peterswimm/Mentioned in this Episode:Toilville: https://www.toilville.com/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs
Ivan co-founded Fortytwo, a planetary-scale intelligence network designed for next-generation AI applications and services. Fortytwo connects nodes running on consumer hardware with small AI models that collectively can outperform the reasoning capabilities of frontier AI (e.g.,centralized large models by OpenAI and Anthropic), creating a permissionless, scalable layer of community-driven intelligence free from intermediaries.Ivan graduated from DePaul University and, early in his career, co-founded Temporal Games, where he served as CEO, focusing on AI projects in games and entertainment. He led the creation of autonomous, self-learning AI agents using Genetic Algorithms and Reinforcement Learning, which outperformed humans in classic games. In 2018, he developed a Conversational AI service leveraging some of the earliest LLMs to enhance game character interactivity. In 2023, he collaborated with NEOM to develop a state-of-the-art generative 3D graphics model and the industry's first LLM capable of spatial reasoning. His more recent workincludes research on Animated Gaussian Splatting for capturing and reconstructing volumetric video content, followed by ongoing efforts in AI decentralization, which led to the research on swarm inference and the creation of the Fortytwo network.
Ivan co-founded Fortytwo, a planetary-scale intelligence network designed for next-generation AI applications and services. Fortytwo connects nodes running on consumer hardware with small AI models that collectively can outperform the reasoning capabilities of frontier AI (e.g.,centralized large models by OpenAI and Anthropic), creating a permissionless, scalable layer of community-driven intelligence free from intermediaries.Ivan graduated from DePaul University and, early in his career, co-founded Temporal Games, where he served as CEO, focusing on AI projects in games and entertainment. He led the creation of autonomous, self-learning AI agents using Genetic Algorithms and Reinforcement Learning, which outperformed humans in classic games. In 2018, he developed a Conversational AI service leveraging some of the earliest LLMs to enhance game character interactivity. In 2023, he collaborated with NEOM to develop a state-of-the-art generative 3D graphics model and the industry's first LLM capable of spatial reasoning. His more recent workincludes research on Animated Gaussian Splatting for capturing and reconstructing volumetric video content, followed by ongoing efforts in AI decentralization, which led to the research on swarm inference and the creation of the Fortytwo network.
Are you a home service business owner who feels overwhelmed by the pace of change in 2025? Do you worry that AI is moving faster than your team, your systems, and even your competitors? How do you keep up with the new rules of search, booking, content, and customer experience without burning cash or wasting time? In this episode of The Better Than Rich Show, host Mike Abramowitz talks with Jennifer Bagley, CEO of CI Web Group and Co-Founder of JustStartAI.io. Jen is known as one of the leading experts in agentic AI systems for contractors. She is passionate about helping small- and mid-sized home service owners future-proof their businesses, increase visibility, raise margins, and eliminate operational waste through AI-enabled systems that operate 24 hours a day. Her background in development, automation, and large-scale digital operations makes her uniquely qualified to explain the shifts happening in the industry and how owners can win today, not someday. If you want to understand the real path forward, Jen brings clarity, urgency, and practical steps you can apply right away. Timestamps [00:00] Why AI matters for home service owners [01:20] Conversational AI vs agent vs multi agent vs agentic [04:30] How Jen builds a whole AI-driven content team [09:30] What agentic workflows look like in real life [12:00] Why trying to build your own network is risky [13:15] Why Jen invested millions to stay ahead [18:20] What owners should do right now [20:00] Inside Start AI and how to get free credits [23:00] How AI improves marketing efficiency [26:30] Building systems for booking and follow-up [33:45] Why WordPress is holding contractors back [37:40] The shift from Google to AI search [43:20] Running a lean and profitable business with AI [46:10] Remodeling your PNL with AI [51:00] What being better than rich means to Jen Key Quotes "Consumer adoption accelerates when devices receive updates overnight. This allows users to experience improved features right away, leading to faster acceptance of new technology." "The speed of progress is crucial right now. Staying ahead in a rapidly changing market is key to success." "Content acts as your storefront; if it's outdated, you risk becoming invisible. Fresh and relevant content is essential for attracting customers in the digital age." "AI will not replace contractors, but those who use AI will surpass those who don't. Embracing AI can boost efficiency and innovation, giving forward-thinking contractors a significant advantage." Key Takeaways Identify where clients are dropping off in the process and quickly eliminate any friction. Utilize AI-enabled vendors before attempting to build anything in-house. Increase daily content output to boost visibility, impressions, and the number of booked jobs. Prepare for AI agents that can schedule appointments on behalf of homeowners. Modernize booking tools to allow agents to schedule appointments smoothly. Transition to low-code platforms when appropriate. Use AI to analyze and remodel your profit and loss statements to enhance margins. Links Mentioned Just Start AI: https://juststartai.io CI Web Group: https://ciwebgroup.comConnect with The Better Than RichWebsite - https://www.betterthanrich.com/Facebook - https://m.facebook.com/betterthanrich/Instagram - https://www.instagram.com/betterthan_rich/Twitter - https://mobile.twitter.com/betterthan_richTikTok - https://www.tiktok.com/@betterthanrichYouTube - https://www.youtube.com/channel/UC3xXEb7rKBvkCOdtWd4tj2ALinkedin - https://www.linkedin.com/company/betterthanrich
Young people and caregivers must be involved in the design of AI technology, say Natalia Kucirkova, Alexis Hiniker, Sho Tsuji, Robert Wolfe, Aayushi Dangol, and Megumi Ishikawa. Read the article on BOLD.Stay up to date with all the latest research on child development and learning at boldscience.org.Join the conversation on X (Twitter), Facebook, Instagram.Subscribe to BOLD's newsletter.
Wake up — it's here. Conversational AI has officially arrived in automotive, and it's transforming dealership operations faster than anyone expected. In this episode, Jen sits down with one of the true OGs of voice AI, Rich Sands, CEO of Stella Automotive AI, to unpack what's really happening behind the scenes as dealerships adopt AI in service and sales. https://stellaautomotive.com Rich shares the evolution of Stella—from early hurdles to the all-new rebuilt platform—and opens up about the human side of AI: the integration challenges, the mistakes, the breakthroughs, and the massive shift in customer adoption. You'll hear real data on engagement, booking speed, and why some callers now prefer Stella over a human. Jen and Rich break down: Why voice AI is accelerating dealership operations on both the service and sales sides How customer behavior toward AI has radically changed in just two years What "the new Stella" actually means (zero latency, deep integrations, powerful customization) The ROI dealers are seeing—and why AI is now outperforming humans in call handling and appointment booking The must-do steps for dealers deploying voice AI (yes, the greeting matters more than you think) How data, context, and personalization are creating a new wave of VIP-level customer experience If you want real talk about scaling voice AI in a dealership—without the vendor pitch—this episode is your roadmap. It's tactical. It's honest. And it'll prepare you for the next big operational shift already hitting stores nationwide. Dealer Talk with Jen Suzuki Podcast |
In this episode of Crazy Wisdom, host Stewart Alsop talks with Kevin Smith, co-founder of Snipd, about how AI is reshaping the way we listen, learn, and interact with podcasts. They explore Snipd's vision of transforming podcasts into living knowledge systems, the evolution of machine learning from finance to large language models, and the broader connection between AI, robotics, and energy as the foundation for the next technological era. Kevin also touches on ideas like the bitter lesson, reinforcement learning, and the growing energy demands of AI. Listeners can try Snipd's premium version free for a month using this promo link.Check out this GPT we trained on the conversationTimestamps00:00 – Stewart Alsop welcomes Kevin Smith, co-founder of Snipd, to discuss AI, podcasting, and curiosity-driven learning.05:00 – Kevin explains Snipd's snipping feature, chatting with episodes, and future plans for voice interaction with podcasts.10:00 – They discuss vector search, embeddings, and context windows, comparing full-episode context to chunked transcripts.15:00 – Kevin shares his background in mathematics and economics, his shift from finance to machine learning, and early startup work in AI.20:00 – They explore early quant models versus modern machine learning, statistical modeling, and data limitations in finance.25:00 – Conversation turns to transformer models, pretraining, and the bitter lesson—how compute-based methods outperform human-crafted systems. 30:00 – Stewart connects this to RLHF, Scale AI, and data scarcity; Kevin reflects on reinforcement learning's future. 35:00 – They pivot to Snipd's podcast ecosystem, hidden gems like Founders Podcast, and how stories shape entrepreneurial insight. 40:00 – ETH Zurich, robotics, and startup culture come up, linking academia to real-world innovation. 45:00 – They close on AI, robotics, and energy as the pillars of the future, debating nuclear and solar power's role in sustaining progress.Key InsightsPodcasts as dynamic knowledge systems: Kevin Smith presents Snipd as an AI-powered tool that transforms podcasts into interactive learning environments. By allowing listeners to “snip” and summarize meaningful moments, Snipd turns passive listening into active knowledge management—bridging curiosity, memory, and technology in a way that reframes podcasts as living knowledge capsules rather than static media.AI transforming how we engage with information: The discussion highlights how AI enables entirely new modes of interaction—chatting directly with podcast episodes, asking follow-up questions, and contextualizing information across an author's full body of work. This evolution points toward a future where knowledge consumption becomes conversational and personalized rather than linear and one-size-fits-all.Vectorization and context windows matter: Kevin explains that Snipd currently avoids heavy use of vector databases, opting instead to feed entire episodes into large models. This choice enhances coherence and comprehension, reflecting how advances in context windows have reshaped how AI understands complex audio content.Machine learning's roots in finance shaped early AI thinking: Kevin's journey from quantitative finance to AI reveals how statistical modeling laid the groundwork for modern learning systems. While finance once relied on rigid, theory-based models, the machine learning paradigm replaced those priors with flexible, data-driven discovery—an essential philosophical shift in how intelligence is approached.The Bitter Lesson and the rise of compute: Together they unpack Richard Sutton's “bitter lesson”—the idea that methods leveraging computation and data inevitably surpass those built from human intuition. This insight serves as a compass for understanding why transformers, pretraining, and scaling have driven recent AI breakthroughs.Reinforcement learning and data scarcity define AI's next phase: Stewart links RLHF and the work of companies like Scale AI and Surge AI to the broader question of data limits. Kevin agrees that the next wave of AI will depend on reinforcement learning and simulated environments that generate new, high-quality data beyond what humans can label.The future hinges on AI, robotics, and energy: Kevin closes with a framework for the next decade: AI provides intelligence, robotics applies it to the physical world, and energy sustains it all. He warns that society must shift from fearing energy use to innovating in production—especially through nuclear and solar power—to meet the demands of an increasingly intelligent, interconnected world.
In this episode of The InEVitable by MotorTrend, host Ed Loh takes you inside GM Forward — General Motors' technology showcase in New York — to explore the company's electrified, autonomous, and AI-driven future. From new lithium manganese-rich batteries that cut costs while keeping range high, to hands-free, eyes-off driving coming to the 2028 Cadillac Escalade IQ, and even Google Gemini AI built directly into millions of GM vehicles — this episode dives into every major innovation reshaping the automaker. You'll hear from the engineers, designers, and executives behind GM's next generation of mobility, including: Gary Cygan - Director of Platform Engineering General Motors Kurt Kelty - VP of Battery Propulsion and Sustainability General Motors Aseem Kapur - Chief Revenue Officer GM Energy Baris Cetinok - Sr. Vice President Software & Services, Product and Design, General Motors David Richardson - Sr. Vice President of Software Services General Motors Key topics: ⚡️ GM's unified computing architecture for all vehicles
In this episode, we dive into the art and science of context engineering with Martin Cross, President of Connect, a company that empowers enterprises to transform through the use of AI and automation.Martin shares how most businesses still approach AI with a technology-first mindset, deploying solutions before clearly defining the customer problem they're solving. He explains why successful AI experiences begin with understanding the user journey, designing the right interaction, and then selecting the appropriate tools, not the other way around.We also unpack Connect's acquisition of Elerian AI and why contact centre voice recordings represent an untapped goldmine of training data. Martin explains how fine-tuning models with real-world conversations, including dialects, accents, and customer intents, can dramatically improve AI accuracy and empathy.The conversation delves into the various layers of context - from session-level to journey-wide to CRM-integrated, and how they work together to transform generic interactions into deeply personalised, proactive experiences. We also reflect on why the industry continues to repeat old mistakes and how businesses can design AI that truly understands and anticipates customer needs.Show notesFollow Martin Cross on LinkedInFind out more about ConnectFollow Kane Simms on LinkedInDiscover VUX ConsultingTake our updated AI Maturity AssessmentSubscribe to VUX WorldSubscribe to The AI Ultimatum Substack Hosted on Acast. See acast.com/privacy for more information.
“If responses aren't near real-time, the bot won't feel human.” — Ruchir Brahmbhatt, Co-Founder & CTO, Ecosmob Ruchir Brahmbhatt, Co-Founder and CTO of Ecosmob, joined Doug Green, Publisher of Technology Reseller News, to discuss the engineering behind human-like voicebots—where milliseconds make the difference between a smooth conversation and a frustrating one. With more than 18 years in VoIP and AI/ML development, Ecosmob builds custom voicebots for MSPs, ITSPs, and UCaaS/CCaaS providers seeking real-time automation and compliance. Brahmbhatt outlined how Ecosmob's architecture achieves sub-second latency through: Python async orchestration for thousands of concurrent sessions Redis in-memory queues for ultra-low-latency streaming NVIDIA Canary ASR and Kokoro TTS for fast, natural speech llama.cpp LLM engine with dynamic quantization for efficient processing In a live healthcare demo, Ecosmob's voicebot scheduled an appointment in natural, human-like dialogue—with total round-trip latency under 600 milliseconds. Brahmbhatt emphasized that modern contact centers are shifting from IVRs to AI-driven self-service, and that on-prem and GDPR-compliant deployments are increasingly essential. Learn more at ecosmob.com.
Discover how Neurix is building the next generation of voice AI that sounds and reacts like a human in this conversation with Peeyush, former Google technologist and co-founder of Miracle Labs. Peeyush shares how Neurix is solving the toughest challenges in conversational AI — from eliminating latency to creating natural, real-time dialogue that mirrors human interaction. He explains why voice is the hardest frontier in AI, how Neurix's proprietary models manage conversation flow, and what it takes to integrate voice agents into enterprise systems at scale. Learn how Neurix is combining low-latency speech recognition, dialogue management, and large language models to deliver seamless, multilingual customer experiences. If you're a business leader, product builder, or AI professional interested in how human-like voice agents are transforming customer support and enterprise communication, this episode reveals the future of intelligent conversation. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI
In this thought-provoking episode of the "Father and Joe" podcast, hosts Father Boniface Hicks and Joe Rockey delve deep into the potential impacts of technology, particularly artificial intelligence (AI), on human relationships and spiritual life. The conversation builds on the last week's discussion about the encroachment of AI in personal interactions, highlighting the dangers of relying too heavily on technology to connect with others and ourselves.Joe and Father Boniface discuss how AI can create a sense of emptiness in relationships, akin to trying to fill an infinite void with finite substances, which is often how sin manifests. They raise a critical question: When does the artificial relationship, facilitated by AI, feel fulfilling, and when does it leave us longing for more? This episode provides a "litmus test" to help listeners evaluate their interactions with AI—does it enrich their lives, or does it deplete their relational and emotional capacities?Father Boniface introduces insights from a Vatican document, "Antiqua et Nova," emphasizing that AI lacks the intrinsic qualities necessary for genuine human interaction—it has no interiority, intentions, or the capacity to truly care. Despite AI's sophisticated simulation capabilities, it cannot replace the profound depth of embodied human experiences that shape our intellect, morals, and soul.Through the lens of spirituality, the hosts explore the notion that AI, devoid of a soul, cannot nurture our spirituality or contribute to the development of virtues. Joe and Father Boniface urge listeners to critically assess their engagement with technology, ensuring it serves humanity rather than detracts from it.Towards the episode's end, the importance of traditional, interpersonal connection is revisited. In an age where technology often mediates relationships, the hosts stress the enduring necessity of face-to-face interaction for spiritual growth and relationship building.This episode is a call to mindfulness about the roles technology plays in our lives, encouraging continued philosophical inquiry into its ramifications. Joe and Father Boniface affirm the value of questioning and discerning technology's place in supporting human essence—a distinctly relational nature imbued with the divine spark.Tags:AI, Artificial Intelligence, Human Relationships, Technology, Spirituality, Church, Faith, Soul, Relational Growth, Podcast, Father and Joe, Religion, Emptiness, Sin, Vatican, Bible, Antiqua et Nova, Emotional Intelligence, Interpersonal Connection, Moral Discernment, Genuine Care, Spiritual Direction, Relationship Skills, Holiness, Embodied Experience, Humanity, Personal Development, Emotional Fulfillment, Relationship Evaluation, AI Therapists, Technology and Faith, Conversational AI, AI Limitations, Relational Intelligence, AI Impact, Emotional Health, Authentic Connection, Technology Dependence, Friendship, Connection, Spiritual Growth, Meaningful InteractionsHashtags:#AI #ArtificialIntelligence #HumanRelationships #Technology #Spirituality #Church #Faith #Soul #RelationalGrowth #Podcast #FatherAndJoe #Religion #Emptiness #Sin #Vatican #Bible #AntiquaEtNova #EmotionalIntelligence #InterpersonalConnection #MoralDiscernment #GenuineCare #SpiritualDirection #RelationshipSkills #Holiness #EmbodiedExperience #Humanity #PersonalDevelopment #EmotionalFulfillment #RelationshipEvaluation #AITherapists #TechnologyAndFaith #ConversationalAI #AILimitations #RelationalIntelligence #AIImpact #EmotionalHealth #AuthenticConnection #TechnologyDependence #Friendship #Connection #SpiritualGrowth #MeaningfulInteractionsThis line is here to correct the site's formatting error.
FROM THE VAULT: This Isn't Therapy... it's the *encore* episode about AI therapists and if they can ever replace the real thing. In this episode, Jake and Simon discuss a recent BBC article about why teens are seeking out AI therapist bots and what that means for the future of mental health. Conversational AI or, in other words, "chatbots with a personality" are gaining more attention and users are finding new therapy-ish use-cases on platforms like Character.ai and Replika. The pros, the cons, the risks, and the benefits. All that and more!BBC Article discussed: Young people turning to AI therapist botsGot a quandary, query, or question? Submit your Q (anonymously) to Asking For A Friend...Creators & Guests Simon Paluck - Host Jake Ernst - Host Hello, hi! Validate us by...Following us on Instagram: @notatherapypodcastFollowing us on TikTok: @notatherapypodcastJake Ernst: @mswjakeSimon Paluck: @directedbysimon
In this episode, we explore how to boost engagement and recover sales by moving from clicks to conversations. Giorgio Pagliari, CEO of Spoki, shares how his platform uses WhatsApp and AI to deliver instant customer support, automate communications, and drive revenue growth for ecommerce businesses. He also explains how AI is creating a new era of conversational commerce.Topics discussed in this episode: Why transactional emails are no longer an effective way to communicate with customers.What makes WhatsApp a powerful communication tool for e-commerce.How to use AI to automate 80% of customer support inquiries.What Spoki does to recover abandoned carts and increase sales.How AI can create a personalized shopping experience for customers.Why the future of commerce is conversational and AI-driven.How to train Spoki's AI agent with your brand's specific language.How a food e-commerce brand increased its revenue by 50% using Spoki.Why a merchant needs a dedicated phone number to get started with Spoki.What a customer-centric approach means for e-commerce success.Links & Resources Website: https://spoki.it/en/LinkedIn: https://www.linkedin.com/company/spokiapp/Instagram: https://www.facebook.com/spokiappFacebook: https://www.facebook.com/spokiappGet access to more free resources by visiting the show notes at https://tinyurl.com/m4c8wsvn______________________________________________________ LOVE THE SHOW? HERE ARE THE NEXT STEPS! Follow the podcast to get every bonus episode. Tap follow now and don't miss out! Rate & Review: Help others discover the show by rating the show on Apple Podcasts at https://tinyurl.com/ecb-apple-podcasts Join our Free Newsletter: https://newsletter.ecommercecoffeebreak.com/ Support The Show On Patreon: https://www.patreon.com/EcommerceCoffeeBreak Partner with us: https://ecommercecoffeebreak.com/podcast-sponsorship/
Tyler McGregory Dropped Out of College to Master AI & Now Saves Businesses Millions
Gartner's Magic Quadrant for Conversational AI platforms is back in 2025! This is a must-watch for CX leaders seeking to make informed decisions about their AI tech stack. Here, we provide deep technology market analysis for artificial intelligence in customer experience. Whether you're looking to build AI chatbots, AI agents, Retrieval Augmented Generation applications, these conversational AI platforms are the best of breed.Show notesKane Simms on LinkedInDiscover VUX ConsultingTake the updated AI Maturity AssessmentSubscribe to VUX WorldSubscribe to The AI Ultimatum Substack Hosted on Acast. See acast.com/privacy for more information.
Enterprise AI Agents for Work, Service and Process: www.kore.ai Kore.ai founder and CEO Raj Koneru breaks down how enterprises are moving beyond chatbots into agentic AI that actually ships. We get into the no-code tooling behind multi-agent workflows, agentic RAG, guardrails that keep outputs in scope, and why a control layer for governance is now essential. Raj shares real scale numbers, the three Kore.ai product lanes for customer and employee experience, and how partnerships with Microsoft and AWS let teams build where they already run. If you care about building secure, explainable AI agents that integrate fast and scale cleanly, this one is for you. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Raj Koneru's Journey & The Birth of Kore.ai (03:10) From Chatbots to Enterprise-Grade Agents(06:33) Security, Scale & Proof in the Market(07:04) What Agentic AI Really Means(12:16) Building & Governing AI Agents(17:26) Kore.ai's Product Lines & Differentiation(20:22) Industry Applications & Case Studies(28:17) User Experience & Change Management(34:46) Governance, Identity & Cost Controls(39:56) Adoption Timelines & Market Outlook(43:51) Roadmap & Partnerships(47:38) Future of the Enterprise AI Landscape
É o assunto do momento: inteligência artificial. Muito tem sido dito sobre o efeito dela na sociedade. Mas e os efeitos em nossa mente? Afinal, ela afeta nossa capacidade cognitiva? O que a ciência já tem a dizer sobre isso?Confira o papo entre o leigo curioso, Ken Fujioka, e o cientista PhD, Altay de Souza.>> OUÇA (58min 57s)*Naruhodo! é o podcast pra quem tem fome de aprender. Ciência, senso comum, curiosidades, desafios e muito mais. Com o leigo curioso, Ken Fujioka, e o cientista PhD, Altay de Souza.Edição: Reginaldo Cursino.http://naruhodo.b9.com.br*APOIO: INSIDERIlustríssima ouvinte, ilustríssimo ouvinte do Naruhodo,qual é minha dica INSIDER do mês?Eu precisava de uma calça que servisse para o trabalho e para o lazer.Numa só peça.A resposta chegou:Calça FutureForm da INSIDER.É elegante.É confortável.É versátil.É durável.Não precisa passar.Vai da reunião de trabalho ao rolê do fim de semana.E Setembro, que é o Mês do Cliente, é a melhor oportunidade para começar a comprar INSIDER: combinando o cupom NARUHODO com os descontos do site, o seu desconto total pode chegar a até 50%! Isso mesmo: sua compra pode sair até pela metade do preço.Mas tem que acessar pela URL especial:creators.insiderstore.com.br/NARUHODOINSIDER: inteligência em cada escolha.#InsiderStore*REFERÊNCIASAI study: Over 60 per cent use Artificial Intelligence at work – almost half of all employees are worried about losing their jobshttps://www.deloitte.com/ch/en/about/press-room/ai-study-almost-half-of-all-employees-are-worried-about-losing-their-jobs.htmlAI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinkinghttps://www.mdpi.com/2075-4698/15/1/6Impact of artificial intelligence on human loss in decision making, laziness and safety in educationhttps://www.nature.com/articles/s41599-023-01787-8The impact of artificial intelligence on human society and bioethicshttps://pmc.ncbi.nlm.nih.gov/articles/PMC7605294/Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Taskhttps://arxiv.org/pdf/2506.08872v1A user-centred approach to functions in Excelhttps://dl.acm.org/doi/abs/10.1145/944705.944721Spreadsheet usage by management accountants: An exploratory studyhttps://www.sciencedirect.com/science/article/pii/S0748575114000736Technology and Unemploymenthttps://www.proquest.com/openview/c94ac907d0063472c88497666cafca0d/1?pq-origsite=gscholar&cbl=1817076Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statisticshttps://www.nber.org/papers/w24001The productivity paradox of information technologyhttps://dl.acm.org/doi/10.1145/163298.163309Automation and Job Displacement's Impact on the Labor Market in the USAhttps://soar.suny.edu/handle/20.500.12648/16197The Simple Macroeconomics of AIhttps://shapingwork.mit.edu/research/the-simple-macroeconomics-of-ai/The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?https://arxiv.org/abs/2410.04699Will Generative Artificial Intelligence Chatbots Generate Delusions in Individuals Prone to Psychosis? https://academic.oup.com/schizophreniabulletin/article/49/6/1418/7251361Experiences of hearing voices: analysis of a novel phenomenological surveyhttps://www.thelancet.com/journals/lanpsy/article/PIIS2215-0366(15)00006-1/fulltextThe Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysishttps://mental.jmir.org/2025/1/e64396/Ontological Drift: Accounting for Unexplained Anomalies in the AI Mental Health Crisishttps://www.researchgate.net/profile/Julian-Michels-3/publication/394845017_Ontological_Drift_Accounting_for_Unexplained_Anomalies_in_the_AI_Mental_Health_Crisis/links/68a85fa36327cf7b63d8b7ba/Ontological-Drift-Accounting-for-Unexplained-Anomalies-in-the-AI-Mental-Health-Crisis.pdfArtificial intelligence-assisted psychosis risk screening in adolescents: Practices and challengeshttps://pmc.ncbi.nlm.nih.gov/articles/PMC9641379/Naruhodo #442 - Qual o efeito da arte sobre nós?https://www.youtube.com/watch?v=9pgyTDtRbeoNaruhodo #435 - Jogar videogame pode ajudar a curar doenças?https://www.youtube.com/watch?v=7Ob___Y97d4Naruhodo #272 - Quais são os grandes desafios da psicologia no Brasil?https://www.youtube.com/watch?v=Kxt23k6HCa0Naruhodo #165 - Quando tomo antidepressivos continuo sendo eu mesmo?https://www.youtube.com/watch?v=dWyfUyHUiA4Naruhodo #235 - Por que suspiramos?https://www.youtube.com/watch?v=Obh8T90AefANaruhodo #415 - Subir escadas pode ajudar pessoas com transtornos psiquiátricos?https://www.youtube.com/watch?v=jqhtO6W03CcNaruhodo #407 - Existe razão sem emoção?https://www.youtube.com/watch?v=qUxluRrHV3ENaruhodo #346 - Programação Neurolinguística (PNL) tem base científica? - Parte 1 de 2https://www.youtube.com/watch?v=p9-iauANzY0Naruhodo #347 - Programação Neurolinguística (PNL) tem base científica? - Parte 2 de 2https://www.youtube.com/watch?v=yggQXOE9lRYNaruhodo #443 - Quais os impactos dos robôs em nossas vidas? - Parte 1 de 2https://www.youtube.com/watch?v=tCUsvZ9hQ60Naruhodo #444 - Quais os impactos dos robôs em nossas vidas? - Parte 2 de 2 https://www.youtube.com/watch?v=yLVhdONlrug*APOIE O NARUHODO!O Altay e eu temos duas mensagens pra você.A primeira é: muito, muito obrigado pela sua audiência. Sem ela, o Naruhodo sequer teria sentido de existir. Você nos ajuda demais não só quando ouve, mas também quando espalha episódios para familiares, amigos - e, por que não?, inimigos.A segunda mensagem é: existe uma outra forma de apoiar o Naruhodo, a ciência e o pensamento científico - apoiando financeiramente o nosso projeto de podcast semanal independente, que só descansa no recesso do fim de ano.Manter o Naruhodo tem custos e despesas: servidores, domínio, pesquisa, produção, edição, atendimento, tempo... Enfim, muitas coisas para cobrir - e, algumas delas, em dólar.A gente sabe que nem todo mundo pode apoiar financeiramente. E tá tudo bem. Tente mandar um episódio para alguém que você conhece e acha que vai gostar.A gente sabe que alguns podem, mas não mensalmente. E tá tudo bem também. Você pode apoiar quando puder e cancelar quando quiser. O apoio mínimo é de 15 reais e pode ser feito pela plataforma ORELO ou pela plataforma APOIA-SE. Para quem está fora do Brasil, temos até a plataforma PATREON.É isso, gente. Estamos enfrentando um momento importante e você pode ajudar a combater o negacionismo e manter a chama da ciência acesa. Então, fica aqui o nosso convite: apóie o Naruhodo como puder.bit.ly/naruhodo-no-orelo
In this episode of The ROCC Pod, we dive deep into the world of emotionally intelligent AI with Christine Chubenko of CodeBaby. Jon hosts solo while Lisais away, and together with Christine, we explore how AI is reshaping business efficiency, customer interaction, and our daily digital experience.We begin by learning about CodeBaby, a platform that powers emotionally intelligent avatars capable of handling repetitive customer service tasks on behalf of businesses. These avatars go far beyond the likes of "Clippy" — they can smile, laugh, and emulate human responses, allowing businesses to provide 24/7 assistance that reflects their brand tone and values. Christine emphasizes that users maintain full control over their data and avatar behavior, which can evolve over time as the business grows or shifts.Christine shares examples from retail and healthcare. In stores, avatars answer common customer questions, freeing up human staff to focus on higher-priority tasks. In medical practices, avatars or even holograms can offer patients a safe space to ask questions — particularly beneficial for older patients who may hesitate to speak directly to doctors. ("But they're so busy!")As we discuss the broader AI landscape, Christine explains her career roots in computer science and AI, dating back to the 1990s. While the foundation of AI has remained rooted in pattern recognition and statistical models like k-nearest neighbor, the scale and sophistication of modern AI have exploded. She debunks the myth that AI is sentient — emphasizing that despite the human-like responses, these systems are still just machines built by humans with clear limitations and no true consciousness.We explore how AI is already part of our everyday lives through Siri, Alexa, social media algorithms, smart appliances, and personalized streaming suggestions. Christine argues that AI's role is to reduce tedious tasks — not replace humans entirely. Jobs that require emotional nuance, tactile presence, or creativity (like nurses or preschool teachers) remain well out of AI's reach. Meanwhile, automation can fill gaps where businesses struggle to hire, like in food service or basic admin roles.Christine also breaks down what makes AI emotionally intelligent: prompt engineering. It's not just about asking a question; it's about asking it the right way, setting the tone, and defining the persona you want the AI to emulate. For instance, telling ChatGPT to answer as a cardiovascular surgeon or in a humorous tone drastically alters the output.To close, Christine encourages listeners who are curious about AI to simply sign up for a tool like ChatGPT and ask, “Where do I start?” That simple first step leads to powerful learning. She reminds us that while AI may seem intimidating, it's just another tool — and it's one we can all learn to wield effectively.More:Email Christine: cchubenko@codebaby.comCodeBaby Website: https://www.codebaby.com/ Learn more about the Royal Oak Chamber of Commerce: https://www.royaloakchamber.com/Connect with our hosts:Jon Gay from JAG in Detroit Podcasts - http://www.jagindetroit.com/Lisa Bibbee from Century 21 Northland - http://soldbylisab.com/
Open Tech Talks : Technology worth Talking| Blogging |Lifestyle
In this episode of OpenTechTalks.tv, we dive into the intricate world of conversational AI with Yam, the founder of Parland. Discover the challenges of managing complexity and uncertainty in AI systems, and explore the opportunities that arise with the advent of GPT-4 and beyond. Yam shares insights on the importance of control in AI development, the role of subjectivity in conversation design, and the potential pitfalls of overhyped expectations. Join us for a thought-provoking discussion on the future of AI and its impact on the tech industry. Sound Bites "I wanted to start my own company at that point." "How can we introduce more control into GenAI?" "We felt that things were really overhyped." Episode # 163 Today's Guest: Yam Marcovitz, Co-founder and CEO of Parlant Yam Marcovitz is the co-founder and CEO of Parlant, an open-source platform that assists enterprises in building reliable, compliant, and predictable AI agents for customer experience. Website: Parlant What Listeners Will Learn: A journey from coder to entrepreneur highlights the evolution of AI. The challenges in programming languages stem from subjective decision-making. Control in generative AI is crucial for building reliable systems. Conversational design must consider real user behavior and preferences. Market research is essential for understanding user needs in AI. Open-source frameworks should focus on specific use cases for better utility. Managing complexity in AI conversations requires a clear separation of concerns. Mistakes in AI can have significant implications, not just in terms of frequency. New developers should seek mentorship and avoid hype-driven decisions. Understanding the landscape of AI requires practical experience and community engagement. Chapters 00:00 Introduction to Jam and His Journey 02:34 The Genesis of Parland and GPT-4 Influence 05:13 Challenges in Programming Language Design 07:59 Exploring Control in Generative AI Systems 10:39 Conversations and User Experience in AI 13:26 Building a Powerful Open Source Engine 14:57 Building Efficient AI Agents 15:53 Challenges in Complex AI Interactions 18:09 Managing AI Safety and Control 21:10 Key Learnings for AI Project Development 22:08 Understanding Uncertainty in AI Development 25:26 Addressing Hallucinations in AI Systems 27:24 Navigating the Learning Journey in AI Development
This episode is brought to you by Extreme Networks, the company radically improving customer experiences with AI-powered automation for networking.Extreme is driving the convergence of AI, networking, and security to transform the way businesses connect and protect their networks, delivering faster performance, stronger security, and a seamless user experience. Visit https://www.extremenetworks.com/ to learn more. JotForm began nearly twenty years ago as a simple online form builder. Today, it has grown into a platform powering millions of users and has recently stepped into a new era of AI. In this episode, Aytekin Tank, founder and CEO of JotForm, shares the story of how the company pivoted from forms to launching AI Agents that are changing the way small and medium-sized businesses handle customer support and automation. Aytekin explains how JotForm's AI journey started as an internal experiment to fill out forms by voice, only to discover that most users wanted it for customer service. That insight sparked the creation of JotForm AI Agents, tools that don't just answer questions, but perform tasks, scale support teams, and transform the customer experience. Beyond the technology, Aytekin outlines a bold vision of the future where every business, no matter the size, will have its own AI-powered agent available around the clock to schedule appointments, answer questions, and even process transactions. This conversation explores how AI is reshaping customer service and why small businesses, nonprofits, and educators stand to benefit the most from this wave of innovation. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) The Scale of JotForm Today and the AI Vision (01:32) Aytekin's Journey: From Developer to Bootstrap Founder (03:36) The Pivot: From Voice Forms to AI Customer Service (05:25) Building and Launching JotForm AI Agents (06:20) Using AI Internally: Cutting Tickets and Boosting Resolution Rates (08:13) Why AI Agents Go Beyond Chatbots (12:22) Demonstrating JotForm AI in Action (21:40) The Tech Stack Behind JotForm's AI Agents (24:59) Training and Teaching Your Own AI Agent (33:27) Competition, Differentiation, and Market Strategy (36:55) Why Small Businesses Need AI the Most (38:24) The Future: Every Business With Its Own AI Agent (40:19) Pricing, Growth, and Lessons in Scaling AI (42:26) Slow Growth vs Explosive Scale and Lessons Learned (43:55) Aytekin's Vision for AI in Business
AI is changing advertising—and fast. In this episode, Joe and Maarja break down how AI is impacting the world of Amazon and retail media, from generative creative tools to AI-driven customer journeys and predictive campaign optimization. They explore what's real, what's hype, and what it all means for brands and marketers.
In this episode of the Level Up Claims podcast, host Galen Hair is joined by Charlotte Lindberg, Program Manager at Personal AI, to explore exciting applications of AI in modern business. Charlotte shares how their personalized AI systems are transforming industries by automating competitor analysis, enhancing customer intake, and refining internal workflows, all while ensuring data privacy and security. With AI's rapid evolution, this episode is a must-listen for anyone interested in leveraging AI to stay ahead in their field. Tune in for insights to level up your business! Highlights Misconceptions about AI before entering the field. Personalized AI vs. generic large language models. Building workflows to reduce reliance on constant re-prompting. Creating multiple AI personas for different functions. Importance of proprietary knowledge in AI training. Cross-referencing external and internal resources for strategy. Application of AI for competitor intelligence. Conversational AI for legal intake processes. Alternative to traditional live chat with AI interaction. Encouragement to consider AI before hiring decisions. Concept of AI agents interacting with each other. Efficiency and support as the purpose of AI, not replacement. Episode Resources Connect with Galen M. Hair https://insuranceclaimhq.com hair@hairshunnarah.com https://levelupclaim.com/ Connect with Charlotte Lindberg https://www.linkedin.com/in/charlotte-lindberg619/
Brett Winton and ARK analyst Jozef Soja dive deep into the rapidly evolving world of AI agents—software entities that are increasingly automating enterprise functions like customer support. They explore why AI agents are gaining traction, how they're priced, and the potential for a new kind of agent-versus-agent arms race between companies and consumers. Later in the episode, they're joined by Dr. Alan Bekker, founder of eSelf.ai and former Head of Conversational AI at Snap, who shares his journey from building voice agents for call centers to launching a real-time, face-to-face AI tutoring platform. Alan offers insights into how the rise of large language models (LLM) is reshaping education, what makes a great AI tutor, and why a visual, embodied presence is crucial for learning.Key Points From This Episode:00:00:00 What enterprise AI agents actually do and how companies like Salesforce are pricing them00:03:41 Why $2 per AI conversation may already undercut human support costs00:05:04 The Return On Investment (ROI) model behind agent adoption and enterprise productivity00:06:41 Why agent-based software may retain higher pricing power than other AI tools00:09:11 The coming arms race: AI agents negotiating with other AI agents00:12:30 Scaling demand for customer service with intelligent automation00:15:04 Vertical vs. horizontal Software as a Service (SaaS) in the AI agent ecosystem00:16:43 AI's impact across the software stack—SaaS, Platform as a Service (PaaS) , and Infrastructure as a Service (IaaS)00:17:56 Why building your own AI apps may soon be cheaper than onboarding SaaS00:20:01 ARK's internal hackathon and how non-engineers are becoming developers00:20:29 Guest: Dr. Alan Bekker joins to discuss the evolution of conversational AI00:22:04 The journey from decision trees to LLMs: Lessons from Snap's AI team00:27:32 Seeing GPT's impact from inside: OpenAI's early partner outreach00:31:47 Why face-to-face AI tutors found strong product-market fit in education00:33:59 eSelf's go-to-market strategy: Partnering with publishers as a business to business to consumer (B2B2C) wedge00:36:24 Pricing real-time AI tutoring tools in a margin-conscious market00:40:00 Business to consumer (B2C) aspirations: Moving toward a direct-to-student tutoring product00:44:56 What's still missing for real-time AI to match human-level teaching00:48:03 The psychological impact of avatars: Building trust through embodied agents00:51:43 Why personalization—not just LLM knowledge—matters in tutoring00:54:20 Democratizing learning: LLMs as the end of expert-driven education
Today's interview is with Nikola Mrkšić, Co-founder & CEO of PolyAI, a leading supplier of Conversational AI for automated customer service. We talk about some recent research of theirs that finds that the phone still reigns in customer service, making the contact center into a ‘command center,' why voice channels aren't relics of the past but are, in fact, essential infrastructure, that customer service interactions are becoming increasingly contentious and what their AI capabilities are doing to help with that. This interview follows on from my recent interview – The future of CX and agentic CX – Interview with Sid Banerjee of Medallia – and is number 544 in the series of interviews with authors and business leaders who are doing great things, providing valuable insights, helping businesses innovate and delivering great service and experience to both their customers and their employees.
My day-to-day coding looks very different from what it was a few years ago. Today, you'll learn about my voice-to-code workflow and how I leverage smart tools to have so much free time that I feel guilty for "not working enough." Seriously.The blog post: https://thebootstrappedfounder.com/from-code-writer-to-code-editor-my-ai-assisted-development-workflow/The podcast episode: https://tbf.fm/episodes/395-from-code-writer-to-code-editor-my-ai-assisted-development-workflowCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw
Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.
Fasten your tech-hipster bum bags—Chad, Lieven, and Emi globe-trot through HR mayhem, startup soap operas, and political facepalms.
你知道AI已經能感受並判讀你的語氣及情緒了嗎？本集《AI百工百業》將揭密InventAI團隊如何從中華電信內部專案轉型為AI新創「小金雞」，如何透過DeepFlow與DeepVoice打造能聽、能懂、會回應的智慧客服，重塑企業溝通模式，甚至還應用於金融業、醫療業及校園？下載聽「未來城市」，掌握數位轉型契機！ 主持人：未來城市頻道總監 陳芳毓 來賓：中華電信研究院 前瞻科技研究所所長 汪世昌、InventAI執行長 李柏青 製作團隊：天下實驗室、天下整合傳播部 本集節目由 中華電信合作推薦 -- Hosting provided by SoundOn
What happens when you combine 8 billion minutes of voice data with a full-stack AI engine? Yes, that's what Dialpad is doing. In this episode, Brian Peterson, CTO and Co-Founder, breaks down how they've built an AI-powered communications platform from the ground up. From real-time sales coaching and AI-driven support agents to predictive analytics that can spot churn before it happens, Brian shares why owning the full stack — infrastructure, LLMs, and data is the only way to deliver truly intelligent customer experience. If you're curious about the future of AI in business communication, this is the episode to watch. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Brian's Founding Story (03:56) What Dialpad Actually Does Today (05:17) Is Voice the Most Valuable Untapped Data Source? (07:41) Inside DialpadGPT (10:10) AI Solutions for Sales, Support & Collaboration (12:24) Owning the Entire Customer Journey with Unified Comms (14:11) How Dialpad Stays Ahead in the AI Race (17:50) Real-Time AI Coaching & Playbooks (22:32) Why Most Enterprises are Behind in AI Adoption (25:28) Action-Oriented AI Agents (32:40) What's Next for AI in Customer Communication
In this episode of Builders Wanted, we sit down with Dugan Winkie, Head of Commercial Strategy at Cedar, to explore how AI is reshaping one of the most emotionally complex industries: healthcare. From frustrating call center experiences to opaque billing processes, Dugan breaks down how Cedar is reimagining patient engagement with conversational AI, real-time data, and a builder's mindset.-------------------Key Takeaways:Strategic innovation involves closely monitoring market feedback, especially given significant operational cost constraints, regulatory uncertainties, and budget cuts.The use of conversational AI ensures that patients receive timely and accurate assistance, which reduces dependency on call centers and enhances the overall patient experience.Health systems must balance using innovative technologies while adhering to strict regulatory frameworks to ensure a seamless and secure patient financial experience.-------------------“ There is a lot of information silos, simultaneously, where we're expecting patients to know how to navigate a very complex system. And we think conversational AI and agentic AI is a great manifestation where we can leverage a lot of our core competency and network connections to help answer those patients' questions in a way that is delightful.” – Dugan Winkie-------------------Episode Timestamps:*(02:10) - The boldest thing Cedar is building right now*(03:52) - How Cedar is using AI to humanize the patient financial experience*(14:24) - Recent patient behaviors that pushed Cedar to rethink the billing experience*(23:11) - How Cedar designed its AI agent, Kora, to be helpful and empathetic to patients*(31:10) - How Cedar is balancing AI innovation and healthcare regulations*(35:40) - How AI has already improved the patient journey-------------------Links:Connect with Dugan on LinkedInConnect with Kailey on LinkedInLearn more about Caspian Studios-------------------SponsorBuilders Wanted is brought to you by Twilio – the Customer Engagement Platform that helps builders turn real-time data into meaningful customer experiences. More than 320,000 businesses trust Twilio to transform signals into connections—and connections into revenue. Ready to build what's next? Learn more at twilio.com.
#97.In this deep-dive episode, Josh sits down with Alex Sambvani to explore how AI is revolutionizing customer experiences in the restaurant industry. Alex shares valuable insights from his work at Slang and draws parallels to his time at Spotify, highlighting how personalization drives engagement across different sectors. They delve into the distinction between conversational and agentic AI, with Alex dispelling common misconceptions while emphasizing that well-implemented AI enhances rather than replaces human connection in hospitality settings.Josh and Alex move from theoretical to practical as they explore how AI integration with restaurant systems can leverage data to personalize guest experiences, streamline operations, and ultimately drive business growth. Alex's enthusiasm for natural voice interactions and conversational design reveals a future where technology transparently serves both businesses and customers, creating seamless experiences that feel intuitive rather than intrusive.Links and resources
Plus Jason Howell reports from the Nothing party in Barcelona but has something to say about the new Nothing phones. Starring Tom Merritt and Jenn Cutter.Links to stories in this episode can be found here.
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