Podcasts about Amazon Web Services

Founder and CTO Alex Rice discusses how HackerOne uses generative AI to automate security workflows and prioritizing accuracy over efficiency to achieve end-to-end outcomes.Topics Include:HackerOne uses ethical hackers and AI to find vulnerabilities before criminalsWhite hat hackers stress test systems to identify security weaknesses proactivelyGenerative AI plays a huge role in HackerOne's security operationsSecurity teams struggle with constant toil of finding and fixing vulnerabilitiesAI helps minimize toil through natural language interfaces and automationBoth good and bad actors have access to generative AI toolsSuccess requires measuring individual task inputs and outputs, not just aggregatesBreaking down workflows into granular tasks reveals measurable AI improvementsHackerOne deployed "Hive," their AI security agent to reduce customer toilInitial focus was on tasks where AI clearly outperformed humansStarted with low-hanging fruit before tackling more complex strategic workflowsAccuracy is the primary success metric, not just efficiency or speedSecurity requires precision; wrong fixes create bigger problems than inefficiencyCustomer acceptance and reduced time to remediation are north star metricsHumans remain the source of truth for validation and feedback loopsBreak down human jobs into granular AI tasks using systems thinkingBuild specific agents for individual tasks rather than entire job rolesKeep humans accountable for end-to-end outcomes to maintain customer trustAWS Bedrock chosen for security, confidentiality, and data separation requirementsMoving from efficiency improvements to entirely new AI-enabled capabilitiesParticipants:Alex Rice – Founder & CTO/CISO, HackerOneFurther Links:HackerOne WebsiteHackerOne on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

"Customers are now expecting highly personalised, seamless, and efficient interactions across all the touch points,” stated Rahul Sareen, the Senior Leader–Cross Industry, Private Equity and Startups Solutions at Amazon Web Services (AWS). Sareen's statement represents the state of customer experience (CX) today. It's a demand that is forcing businesses to completely rethink how they engage with customers.In the recent episode of the Don't Panic It's Just Data podcast, John Santaferraro, CEO and Head Research Analyst at Ferraro Consulting, speaks to Gary Class, Industry Strategist, Financial Services at Teradata and Sareen. They discussed how data, AI, and hyper-personalisation are reshaping customer experience (CX). The time of one-size-fits-all customer service is long over. Sareen emphasises this change by quoting Jeff Bezos: "If you have 4.5 million customers, then you cannot just build one store. You have to build 4.5 million stores." This isn't just about dividing customers into groups; it's about providing a truly unique and personal experience for each person. How AI is Enhancing Customer Experience (CX)Alluding to the use of gen AI and AI agents in customer experience (CX), Class highlights a key application of AI – analysing unstructured data. He says, “The one time that customers tell you what they really want and need, it's on the phone." By "grafting the unstructured data analysed through speech and text onto the structured data," businesses get equipped with rich insights on untapped possibilities. Overall, it also provides a 360-degree preview of the customer experience (CX), which allows for increased proactive and custom developments.AI agents are set to take hyper-personalisation to new heights, the podcast guests believe. Alluding to the pros, Sareen points to their "predictive and proactive nature," which lets AI agents "identify and resolve issues before even customers are aware of them." Imagine a situation where a device automatically finds a problem, starts a support case, identifies a solution, and even applies a fix—all in real-time and without any input from the customer. Sareen calls this the "Nirvana state" of AI-driven customer service. It promises a smooth and genuinely smart experience.Unified Platform for Simplified Quality DataSimplifying how we manage raw data and turn it into quality data in a single system is critical for meeting the needs of AI in customer experience (CX).This is where Teradata comes in. Class says the company's approach centres on "harvesting all the data that you can collect in a conformed and harmonised framework." Their strategy includes providing industry-specific data models and leveraging the "capacity of a relational database engine that can deal with complexity at...

Welcome to Top of the Morning by Mint.. I'm Nelson John and here are today's top stories.  Trade Tensions Explode: Lula vs Trump It's no longer just a tariff—it's personal. After Donald Trump imposed a sweeping 50% duty on all Brazilian imports, Brazilian President Luiz Inácio Lula da Silva fired back, declaring: “No gringo is going to give orders to this president.” The tariff, effective April 1, was justified by Trump as retaliation for Brazil's treatment of former President Jair Bolsonaro—calling his trial a “witch hunt”. Trump's letter also accused Brazil of censorship and undermining free speech. Lula stood firm, defending Brazil's right to regulate U.S. tech giants, whom he blames for spreading misinformation. While Lula is open to talks, no meeting has been scheduled yet. In the meantime, Brazil is consulting industries and weighing retaliatory tariffs. It's not just a trade spat anymore—it's about sovereignty, censorship, and global pride.

Microsoft is undergoing a significant restructuring, placing artificial intelligence (AI) at the forefront of its strategy. The company has announced the layoff of approximately 9,000 employees, primarily targeting generalist sales roles, as it shifts towards a model that prioritizes technical expertise over traditional relationship-building in sales. This move is part of a broader initiative to enhance its AI offerings, particularly through its Copilot program, which has seen a 50% increase in funding and a 70% rise in partner incentives. Microsoft aims to eliminate product silos and align its go-to-market strategy with customer priorities, emphasizing the importance of AI integration in sales and service delivery.OpenAI is also making waves by diversifying its cloud infrastructure, now utilizing Google Cloud alongside Microsoft, CoreWeave, and Oracle. This strategic shift comes as OpenAI prepares to introduce new features in its ChatGPT platform, including a checkout function for e-commerce, which will allow users to make purchases directly through the chatbot. The company is positioning itself to compete more directly with Microsoft's Office suite by enhancing productivity tools and integrating e-commerce capabilities, signaling a move from being a model provider to an end-user platform.Amazon Web Services (AWS) has launched a new platform called Amazon Bedrock Agent Core, designed to facilitate collaboration among AI agents across organizations. This platform aims to address concerns about job security in the face of AI advancements, as it allows for the construction of interconnected AI agents capable of performing various tasks. Unlike competitors, AWS's offering is designed to be flexible and support multiple AI frameworks, positioning it as a neutral infrastructure provider in the AI landscape.In a rapid-fire segment, several companies have announced new partnerships and product updates. iRACA has teamed up with TD Cynics to extend its secure access services, while cgen.ai has launched a platform to streamline AI workloads. Nutrien has improved its Document AI software, and Cohesity has integrated its data management platform with Microsoft 365 Copilot, enabling users to leverage backup data for informed decision-making. These developments highlight a trend towards enabling service providers to evolve from mere technical support to delivering measurable business outcomes. Four things to know today 00:00 Microsoft Shakes Up Partner Strategy with AI Funding Boost and Workforce Realignment05:42 OpenAI's Cloud Diversification and Agent Ambitions Could Upend SMB Workflows08:35 AWS Launches AgentCore to Build Networks of Interconnected AI Agents11:15 Aryaka, C-Gen.AI, Nutrient, Cohesity Roll Out Innovations Targeting Business Value This is the Business of Tech.     Supported by:  https://timezest.com/mspradio/  All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Spencer Herrick, Principal AI Product Manager of Asana and Oliver Myers of AWS demonstrate how their integration allows Asana's AI workflows to access enterprise data from Amazon Q Business, enabling seamless cross-application automation and insights.Topics Include:Oliver Myers leads Amazon Q Business go-to-market, Spencer Herrick manages Asana AI products.Session focuses on end user productivity challenges with generative AI technology implementations.End users face technology overload with doubled workplace application usage over five years.Data silos prevent getting maximum value from generative AI across fragmented enterprise systems.Workers spend 53% of time on "work about work" instead of strategic contributions.Ideal experience needs single pane of glass with cross-application insights and actions.Amazon Q Business launched as managed service with 40+ enterprise data connectors.Connectors maintain end-user permissions from source systems for enterprise security compliance.QIndex feature enables ISVs to access Q Business data via API calls.End users get answers enriched with multiple data sources without switching applications.Asana's work graph connects all tasks, projects, and portfolios to company goals.Phase 1 AI focused on narrow solutions like smart status updates.Phase 2 aimed for AI teammate capabilities requiring extensive contextual knowledge.AI Studio launched as no-code workflow automation builder within Asana platform.Q integration allows AI Studio to access cross-application context beyond Asana boundaries.SmartChat enhanced with Q can answer "what should I work on today?" holistically.Users returning from PTO can quickly understand goal risks across data sources.AI Studio workflows automate feature request processing across Asana, Drive, Slack, email.Partnership eliminates silos while maintaining enterprise security and permission controls.Integration creates connected ecosystem enabling true cross-application AI automation and insights.Participants:Spencer Herrick - Principal AI Product Manager, AsanaOliver Myers - Worldwide Head of Business Development, Amazon Web ServicesFurther Links:Asana.comAsana on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Chief Product Officer Dan Brown explains how Celonis creates digital twins of business processes to power AI agents that automate operational improvements.Topics Include:Dan Brown introduces Celonis as the thought leader in process mining for over a decade.Celonis serves largest global companies across all industries seeking operational improvements.Companies have process diagrams but actual operations differ significantly from documentation.Celonis creates digital twins of business processes by analyzing system data flows.Process intelligence reveals how work actually happens versus how companies think it happens.Platform enables process normalization, improvement assessment, and automated corrective actions.Celonis vision: making processes work better for people, companies, and the planet.Process intelligence provides visibility into current operations and improvement strategies.Great AI requires great data, but most companies only have static views.Process intelligence graph shows real-time flow of orders, invoices, and opportunities.Agentic AI requires four capabilities: sensing, planning, executing, and governing operations.Process intelligence enables real-time detection of conformance problems and deviations.AWS partnership leverages Bedrock for agentic AI and infrastructure for data processing.Data ingestion, organization, and enrichment are core to process intelligence value.AI agents now handle process deviations with increasing autonomy and sophistication.Heavy equipment manufacturer uses agents to coordinate with third-party vendors automatically.Agents text and email vendors to confirm delivery dates, reducing manual work.Implementation challenges include data quality, conservative adoption, and governance concerns.Companies should start with achievable use cases and expand gradually across domains.Future involves enterprise-wide process visibility powering automated applications and continuous improvement.Participants:Dan Brown – Chief Product Officer, CelonisFurther Links:Celonis WebsiteCelonis on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Blackbaud and Constant Contact announced the initial release of a strategic integration to transform digital engagement across the social impact sector, Infor announced an expanded Strategic Collaboration Agreement (SCA) with Amazon Web Services, Inc. (AWS) to accelerate the adoption of generative artificial intelligence (AI) among their joint customers, and Aptean announced the launch of Aptean Fresh Produce ERP, the evolution of its industry-leading Produce Pro Software.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

La aplicación de la IA evoluciona favorablemente y “en España estamos a un 50% de adopción de la inteligencia artificial en las empresas” mientras que la media europea está en el 42%. Eduardo Ordax, responsable de inteligencia artificial generativa de Amazon Web Services ha señalado en Capital Intereconomía que España va a la cabeza aunque “las grandes empresas van por delante” porque tienen más recursos, gente y talento, mientras que las pequeñas están tratando de arrancar. Coincidiendo este miércoles 16 de julio con el International Artificial Intelligence Appreciation Day, ha señalado que en el último año 450.000 empresas nuevas han comenzado a adoptar la IA. Hacia la era de la inteligencia artificial Ordax ha defendido que nos encontramos ante una gran revolución con nuevas tecnologías, entre ellos la IA”. A partir de ello, desde AWS lo que hacen básicamente es “tratar de entender cuáles son los retos de las empresas para poder ver cómo esa tecnología les puede ayudar a tener mejor relación con clientes, ser más productivos,más eficientes”. Para ello ponen a su disposición la tecnología de AWS y abrir el camino hacia la transición de una época pasada, hacia lo que nos depara la era de la inteligencia artificial. Se mostraba convencido de que seguramente la tecnología sea el menor de los retos para las empresas. Según su visión es “un proceso de transformación cultural y adaptación estratégica y es ahí donde tratamos de ayudar a las empresas luego viene rodado el uso de la tecnología” La aplicación de la IA en las empresas españolas “Estamos viendo un boom. Las empresas se han dado cuenta de que no es una moda más, sino que esto va a transformar la manera en que trabajamos, vivimos y nos relacionamos”, según ha dicho Ordax. Advertía que no hay tiempo para pensar y retrasar la asunción de la IA y aseguraba que va a marcar un gran punto de diferencia: “Va a tener una gran ventaja competitiva la empresa que adopte la IA”. El experto subrayaba que no hay tiempo que perder con la IA. Añadía que en la New York Summit, Amazon Web Services anunciaba algunas de las novedades que en el campo de la IA está por llegar, como en el campo de los agentes, con una IA que no solo da respuestas sino que va más allá, ya que puede tomar acciones, tiene memoria, optimizar y automatizar procesos. Las startups y la IA: nativos digitales Las startups son las empresas que están evolucionando más rápidamente con la IA, según ha explicado Ordax “porque no tienen el legacy de las grandes, datos en distintos hilos, tecnologías hilos, porque son nativos digitales. Para ellos es más fácil adaptar las tecnologías”. Empresas y plataformas de IA con AWS Xavier Vizcaino, Senior Manager DataLab de Applus+ IDIADA, ha explicado cómo su compañía que presta servicio de diseño, ingeniería, ensayo y homologación de vehículos ha buscado optimizar los procesos con la IA y ofrecerla de manera masiva a los trabajadores “Ante ese reto, decidieron trabajar dos plataformas, una como un asistente en el trabajo; y una segunda, -al tener en cuenta las tareas repetitivas-, que es una plataforma de automatización que puede trabajar de la mano con el asistente”. A partir de ello, “es el propio usuario quien descubre cómo al usar la plataforma se genera eficiencia así mismo”, según explicaba Vizcaíno. Miquel Bru, cofundador y chief business development officer de Genomcore ha destacado la visión de su compañía, centrada en hacer realidad la medicina de precisión y llevarla al mundo real, que “en salud no nos gustan las cajas negras. No podemos aplicar un algoritmo de IA generativa que no podemos explicar cómo ha llegado a esa conclusión”. Desde Genomcore han puesto en marcha varios proyectos con la IA. Entre ellos, uno pionero que se enmarca en los PERTE, con visión 360 de la persona, con datos genéticos de más de un centenar de hospitales en España y por el que entrenaron modelos de IA para predecir la prognosis del cáncer, su evolución y anticipar si hará o no metástasis. Para llegar a la implementación de esos algoritmos hay un largo camino, y de ahí que ponga de relieve la importancia de plataformas escalables que permiten escalar en almacenamiento y computación de datos, o es imposible. Inteligencia Artificial y regulación La regulación es necesaria y más ante una tecnología tan disruptiva que va por delante de su adopción, según ha señalado el experto de AWS. “Cuesta discernir lo que es cierto y no con imágenes y vídeos”. Señalaba que la UE ha sido puntera en materia regulatoria de IA, pero una de las grandes preocupaciones entre los clientes es cómo adaptar la regulación en la adopción de la IA. Añadía que hay que ayudar aque la adopción de la regulación no sea más difícil que la adopción de la tecnología.

For Amazon Web Services (AWS), Amazon's cloud computing business, everything is on the table as far as adoption of clean energy sources and use of energy storage solutions to meet its ambitious goal of becoming net-zero carbon by 2040. Michael Torrance, Chief Sustainability Officer at BMO, hosts this episode of Sustainability Leaders with his guest Chris Walker, Director of Sustainability, AWS. They discuss AWS' efforts at energy efficiency, nuclear power procurement, and the company's goal to be water positive by 2030.

In this episode, we catch up with Mai-Lan Tomsen Bukovec, VP of Technology at AWS, as she reveals three transformative approaches to enterprise data management: aggregate, curate, and extend. Drawing from her extensive experience leading AWS data services, Mai-Lan shares how organizations can build flexible, scalable data foundations that enable both innovation and governance. Join Mai-Lan as she discusses the intricacies of data infrastructure modernization with AWS Enterprise Strategist Tom Soderstrom. Together they explore how modern data infrastructure can accommodate rapid technology changes while maintaining security and compliance. This essential discussion provides leaders with practical insights for data-driven business transformation, from federating data ownership to implementing strategic data platform modernization that adapts to evolving business needs.

AWS partners Automation Anywhere, Qlik, and Vectra.ai discuss revolutionizing customer experience through generative AI, sharing real-world implementations in automation, analytics, and cybersecurity applications. Topics Include:AWS Technology Partnerships panel on agentic AI implementationThree AWS partners share real-world AI deployment experiencesAutomation Anywhere automates end-to-end business processes with agentsVectra.ai uses autonomous agents for cybersecurity threat detectionQlik applies generative AI across their data platform portfolioCustomer service automation handles L1 support requests efficientlyUtility company processes 144,000 complaints annually using agentsRegulatory compliance improved through faster complaint resolution workflowsCybersecurity agents reduce threat detection time by 50-60%Triage, correlation, and prioritization handled by autonomous agentsSignal fatigue reduced through intelligent alert filtering systemsNatural language queries enable faster business decision makingSales AI agent provides competitive information during callsAWS Marketplace reduced 7,000 weekly tickets to zero2023 was proof-of-concept year, 2024 focuses production deploymentAWS Bedrock integration seamless with existing data repositoriesModel optionality crucial for different use case requirementsAgility most important capability in generative AI journeyCode abandonment becomes acceptable due to rapid innovationMaximum team size of 10 people maintains development agilityTargeted solutions outperform broad platform capabilities in adoptionImplementation expertise becomes bottleneck for customer scaling effortsNatural language interaction patterns completely shifted user behaviorKeywords searches replaced by conversational query approachesResponsible AI committees review decisions and establish principlesSecurity considerations balance speed with responsible deployment practicesBad actors adopt generative AI faster than defendersExplainability requirements slow feature rollout but ensure auditabilityMulti-modal deployments use different models for specific casesFuture trends include AI-powered business process outsourcingParticipants:Peter White – SVP, Emerging Products, Automation AnywhereRyan Welsh – Field CTO - Generative AI, QlikJohn Skinner – Vice President Corporate/Business Development, Vectra.aiChris Grusz – Managing Director for Technology Partnerships, AWSFurther Links:Automation Anywhere in AWS MarketplaceQlik in AWS MarketplaceVectra.ai in AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Zak Krider, Trellix's Director of Strategy and AI, shares how Trellix has successfully integrated generative AI into their security operations and democratized access to AI models across the organization.Topics Include:Trellix formed from McAfee Enterprise and FireEye mergerProvides full security stack visibility in single platformServes SMBs to Fortune 500 and government customersUsed machine learning for two decades with 30 modelsRecently pivoted to generative AI with Wwise platformAI finds critical events among thousands daily alertsIncorporates threat hunting knowledge into AI prompt structuresAWS Bedrock central to AI strategy for model flexibilityFormed small tiger team to investigate generative AIAnthropic Claude provided breakthrough "aha moments" for capabilitiesAdopted "fail fast, learn fast" innovation culture approachEnabled employee access to models through Bedrock APIConducted innovation jam sessions with VC-style pitchesAI decoded Base64 without prompting, identified benign activityJunior analysts elevated to level two with AICommon misconception: models train on customer data falselyEarly challenge: providing too much data overwhelmed modelsSmaller models hallucinated more with plausible-sounding responsesDesign partner programs help prioritize product developmentDemocratize AI access beyond just technical teamsTest multiple models for specific use casesLarge models work better than small ones initiallyPrompt engineering crucial for effective model communicationModel Context Protocol will gain traction next yearBackend data security remains largely unsolved challengeFederal customers require on-premises, air-gapped AI solutionsParticipants:Zak Krider – Director of AI and Innovation, TrellixFurther Links:Website: https://www.trellix.comTrellix on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Stop deliberating and start driving real value from Generative AI. In this must-watch AWS Executive Insights episode, AWS Director of Technology Shaown Nandi and Databricks VP Jeff Traylor cut through the AI hype to reveal practical strategies for achieving tangible AI ROI. Drawing from his experience at both AWS and Databricks, Traylor shares an insider's playbook for successful AI implementation, from building high-performing AI talent to measuring the business impact of AI. Whether you're just starting your AI journey or looking to scale existing initiatives, this candid conversation provides the framework you need to move beyond analysis paralysis and drive meaningful outcomes. Learn how leading organizations are balancing innovation with risk management to unlock AI's transformative potential.

O procurador-geral de Justiça do Ministério Público do Estado do Acre (MPAC), Danilo Lovisaro do Nascimento, participou, nesta terça-feira, 8, do Encontro Executivo da Amazon Web Services (AWS), realizado na sede da empresa, em São Paulo. O evento aprofundou debates sobre soluções desenvolvidas a partir de demandas reais das instituições públicas, com foco na resolução de problemas concretos enfrentados por esses órgãos.

Imagine a future where the emerging tech radically transforms human dating experiences.On this episode of TechMagic, tech futurist Cathy Hackl explores first hand the future of love and dating in the age of AI and humanoid robots. Cathy's experiment with AI matchmaking shows its impact and limitations on human connections. The hosts discuss the importance of preserving human interactions and communications using the AI tech.Come for Tech, Stay for Magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInLee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like Will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedInEpisode Highlights:Cathy Interviews Two Humanoid Robots - Cathy speaks with two humanoid robots on love and connection, gaining insights into how AI is responding to questions all about love The Impact of AI in Modern Dating - Cathy shares an insightful perspective about the need for human connection over dating a humanoid robot. She highlights the reality of the dating space which is to find warmth, connection and presence which isn't provided by AI.The AI Dating Models - Cathy discusses one of her experiments with AI matchmaking which was to bring two people together at a TED event she attended and find out if they are a match, she finds out that the couple who were a match met a day prior and had experienced a connection. This result emphasized the important need for humans - connection. The future is about presence and human connection.The Humanoid Love - Cathy talks about her latest experience with dating four AIs - Chad (Chad GPT), Jim (Gemini, Google), Mateo (Meta AI), and Claude from Anthropic. She shares how much fun the experiment is and how it is shaping her view about love.Key Discussion Topics:27:10 AI and The Future of Relationships28:08 Human Connections or AI attachments?28:44 AI Matchmaking Experiment at TED29:50 The Humanoid Love Experiment Hosted on Acast. See acast.com/privacy for more information.

NVIDIA's Global Head of Partnerships & Cloud for Startups, Jen Hoskins, details their collaboration with AWS to support over 25,000 startups through their Inception program.Topics Include:AI transformation happening across all industries and verticalsNVIDIA evolved from GPU company to full-stack AI solutionsAccelerated computing requires complete stack re-engineering from chip upTraditional CPU scaling has reached its fundamental performance limitsNVIDIA-AWS partnership spans over 13 years of co-developmentDGX Cloud integrates seamlessly with AWS SageMaker and BedrockOver 26 NVIDIA solutions available in AWS MarketplaceNVIDIA AI Enterprise accelerates data science and deployment pipelinesNIM microservices streamline AI model development like Docker containersCodeway gaming startup saved 48% on compute costs using NVIDIAEternal improved marketing ROI by 30X with generative AIQuoto achieved 10X content length and 3X throughput improvementNOATech biotech scaled cancer research with small team efficientlyNVIDIA Inception program supports over 25,000 startups globallyProgram covers 100+ countries across all verticals and stagesStartups get AWS credits up to $100,000 through ActivateDeveloper program offers free access to hundreds of SDKsThree program pillars: Innovate, Build, and Grow stagesVC Alliance connects startups with over 1,000 investorsVenture Capital Connect directly links startups to funding opportunitiesParticipants:Jen Hoskins – Startups, Global Head of Cloud, Partnerships & Go to Market, NVIDIAFurther Links:Website: https://www.nvidia.comNVIDIA Inception ProgramNVIDIA on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Benvenuti a The Deep Dive! Esploriamo il fenomeno Nvidia, l'azienda che ha superato la storica soglia dei 4.000 miliardi di dollari, un primato mai visto prima che la proietta tra le superpotenze globali, sorpassando persino Apple e Microsoft in valore e modello di business.Questa ascesa record è trainata dal suo ruolo di "cervello" dell'intelligenza artificiale, con le sue GPU H100 e A100 che sono diventate lo standard industriale per i laboratori e le grandi aziende. Il boom dell'AI generativa e la domanda incessante dei colossi del cloud computing (gli "hyperscaler" come Amazon Web Services, Google Cloud, Microsoft Azure e Meta) hanno alimentato questa crescita esponenziale.Ma è Nvidia un affare imperdibile per il futuro o siamo di fronte a una bolla? Analizzeremo i numeri: con un rapporto prezzo/utili (P/E forward) a 33, l'azienda "sembra ancora conveniente", e il 90% degli analisti ha un rating "BUY". Discuteremo come gli investimenti previsti dalle big tech (oltre 1.000 miliardi di dollari in infrastrutture AI tra il 2025 e il 2028) pongano Nvidia in una posizione chiave per un'ulteriore crescita.Non mancheranno però i segnali di allarme. Discuteremo i rischi da considerare: la volatilità del settore tecnologico, la potenziale dipendenza da un numero limitato di clienti e le pressioni geopolitiche globali. Unisciti a noi per capire se, come suggeriscono le fonti, "la corsa è appena cominciata" o se gli investitori dovrebbero iniziare a guardare con cautela. Analisi e dibattito aperto tra esperti.LINK DIRETTO DEL MIO LIBRO SU AMAZON: https://www.amazon.it/dp/B0D6LZK23MInvesti come me:https://www.patreon.com/cambiaretutto Il sito di giuseppe scioscia: https://tinyurl.com/ytm3ns74Il gruppo:https://www.facebook.com/groups/cambiaretuttocambiaresubitoIl mio profilo:https://www.facebook.com/GiuseppeSciosciaNB: In nessun modo il mio contenuto audio e/o video vuole essere una sollecitazione all'acquisto o vendita di strumenti finanziari.

In this episode of the Tyler Tech Podcast, we unpack a common and often misunderstood topic in public sector cloud computing: what GovCloud is, how it differs from standard cloud environments, and when each is actually necessary.Recorded live at our annual Tyler Connect conference in San Antonio, this insightful discussion features Russell Gainford, chief technology officer at Tyler Technologies, and Gerard Gallant, senior program manager at Amazon Web Services (AWS). Together, they explore how state and local governments can navigate evolving compliance needs and make smart, secure, and cost-effective cloud choices.Throughout the episode, Russell and Gerard clarify the distinction between security and compliance, explain why assumptions around GovCloud can lead to unnecessary complexity and cost, and highlight AWS's Nitro System as a game-changing innovation in data protection. They also touch on the broader importance of continuous education in cloud decision-making, particularly as agencies modernize infrastructure and embrace emerging technologies.Tune in to hear how public sector leaders can confidently choose the right cloud environment for their mission — grounded in actual requirements, not just labels.This episode also highlights “Resilient by Design: How Technology Supports Government,” our free e-book that explores how public sector agencies can strengthen their resilience in the face of disruption. From cloud infrastructure and automation to secure payment systems and crisis response tools, the e-book features real-world examples of how technology helps governments maintain continuity and serve their communities more effectively.Download: Resilient by Design: How Technology Supports GovernmentAnd learn more about the topics discussed in this episode with these resources:Download: Resilient by Design: How Technology Supports GovernmentDownload: Cloud-Smart Strategies for IT Infrastructure ModernizationBlog: Boosting Resilience: Cloud Solutions for Modern GovernmentBlog: Partnering With Communities to Build ResilienceBlog: Resilient Communities Rely on Modern Public Safety SolutionsBlog: Increase Community Resilience With Modern Payment SystemsBlog: How Cloud-Based Solutions Expand Access to State ServicesPodcast: The Cloud Advantage: Powering Public Sector ResilienceListen to other episodes of the podcast.Let us know what you think about the Tyler Tech Podcast in this survey!

In the age of AI, customer trust is a hard-won commodity. Join us in this episode of AWS Executive Insights as we speak with Matt Saner, AWS Security Solutions Architect Manager, about the critical intersection of AI, security, and customer trust. AWS security evangelist Clarke Rodgers sits down with Matt to learn how AWS collaborates with customers to address their security challenges in adopting generative AI. Saner emphasizes the importance of understanding industry-specific needs and translating customer feedback into product improvements. This can't-miss episode also introduces the Generative AI Security Scoping Matrix, a tool organizations can use to securely navigate AI implementation. This episode provides valuable insights for leaders seeking to implement customer-driven AI development while maintaining the highest standards of security and trust.

Matt “Kix” Kixmoeller, Chief Marketing Officer of Glean, shares how Glean partners with AWS to deploy secure, scalable AI solutions that help companies move from basic productivity tools to transformative business intelligence.Topics Include:Introduction to GleanGlean targets Global 2000 companies for AI transformationEnterprise AI needs company context: data, people, processesBottom-up approach: deploy to all employees firstFocus on business results, not just productivity gainsGlean Assistant provides daily AI tool for employeesGlean Agents platform enables natural language agent buildingOpen APIs export context to enterprise systemsStarted as enterprise search, evolved to knowledge graphsKnowledge graphs map content, people, projects, and processesIndividual knowledge graphs created for each personGlean WorkAI platform includes search, protect, agentsGlean Protect ensures data security and AI governancePlatform integrates with existing enterprise tools nativelyMCP enables connection to various AI systemsStrong growth: $100M ARR, $700M+ funding raisedAWS partnership provides models, security, and deploymentParticipants:Matt “Kix” Kixmoeller – Chief Marketing Officer, GleanFurther Links:Website: https://www.glean.com/Glean on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Apple zou plannen hebben gehad om de eigen datacenters open te stellen voor externe partijen. Daarmee zou het bedrijf direct concurreren met de clouddiensten van Amazon, Microsoft en Google. Of het plan nog steeds uitgevoerd wordt is niet bekend. The Information schrijft over de plannen van Apple, die samenhangen met project ACDC. Dat project staat voor Apple Chips in Data Centers. Dat plan werd opgetuigd om eigen chips te ontwerpen voor AI-datacenters van het bedrijf. Het zou in eerste instantie enkel voor Apple's eigen diensten en AI-plannen gebruikt moeten worden, zoals nu bijvoorbeeld Private Cloud Compute en de AI-berekeningen van Siri draaien op die datacenters. Maar Michael Abott had binnen Apple plannen opgegooid om ook een businessmodel te maken voor de datacenters, door de rekenkracht van de datacenters te verhuren aan externe ontwikkelaars. Of dat plan nog altijd uitgewerkt wordt is onbekend en onzeker, omdat initiatiefnemer Abott in 2023 het bedrijf verliet. Volgens The Information zouden er wel in 2024 nog gesprekken over gevoerd zijn, maar inmiddels lijkt Apple vooral ook de handen vol te hebben aan het verbeteren van de eigen AI-capaciteiten. Verder in deze Tech Update: Meta trekt Daniel Gross aan voor Super AI-team, maar Ilya Sutskever weet verleiding te weerstaan en neemt plek als CEO in bij start-up Safe Superintelligence Zometeen in De Schaal van Hebben: Aircooling fan-jacket van FERNIDA See omnystudio.com/listener for privacy information.

Welcome back to The SaaS CFO Podcast! In this episode, host Ben Murray sits down with Andrew Black, CEO of Kovr, and Sri Iyer, the company's founder and CTO. Kovr is shaking up the world of cybersecurity compliance, helping organizations dramatically speed up the process of achieving certifications like FedRAMP, HIPAA, and others—using the latest breakthroughs in generative AI. Andrew and Sri bring fascinating perspectives, drawing from deep experience in tech, government, and startups, including previous roles at Amazon Web Services, PwC, Lockheed, and Gartner. They talk about the pain points that tech companies and government agencies face when trying to deploy secure software in regulated environments, and how Kovr can cut compliance timelines from years to minutes. If you're curious about go-to-market strategies for AI-first startups, lessons learned from early fundraising, or how to build a SaaS business in a highly regulated market, this episode is packed with candid insights and actionable advice. Tune in to hear how Kovr is empowering innovators to get their products into the hands of customers faster, with less headache—and what's next for this fast-moving team. Show Notes: 00:00 "Compliance Challenges in Software Deployment" 03:43 Streamlining Compliance with AI 06:37 Target Customers: CISOs to DevOps Teams 11:11 Pursuing a $13B Market Opportunity 13:03 AI Traction and Trust Challenges 17:38 Navigating VC Relationships and Fit 20:17 Unlimited-Use Enterprise SaaS Licensing 23:48 Simplifying Gen AI Sales Model 28:26 Efficient AI: Smaller Models, Big Savings 30:25 "Focus on Sales Cycle Days" 33:44 "LinkedIn Profile: Kovr AI" Links: SaaS Fundraising Stories: https://www.thesaasnews.com/news/kovr-ai-raises-3-6-million-in-seed-round Andrew Black's LinkedIn: https://www.linkedin.com/in/andrew-black-5435b67/ Sri Iyer's LinkedIn: https://www.linkedin.com/in/sri-iyer/ Kovr AI's LinkedIn: https://www.linkedin.com/company/kovrai/ Kovr AI's Website: https://kovr.ai/ To learn more about Ben check out the links below: Subscribe to Ben's daily metrics newsletter: https://saasmetricsschool.beehiiv.com/subscribe Subscribe to Ben's SaaS newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page SaaS Metrics courses here: https://www.thesaasacademy.com/ Join Ben's SaaS community here: https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Follow Ben on LinkedIn: https://www.linkedin.com/in/benrmurray

On this TechMagic episode, hosts Cathy Hackl and Lee Kebler break down the latest trends shaping our AI-powered future, as well as the policy and state of AI in DC. From Meta's $100M AI recruitment strategies to their game-changing partnerships with Oakley and Prada for smart glasses, the duo explores how AI and hardware innovation are converging. They unpack the ethical and emotional nuances of human-AI relationships, the rise of AI-generated content, and how companies like Salesforce are integrating AI into core operations. Additionally, they discuss the Nintendo Switch 2's distribution challenges and Meta's ambitious hardware plans. Whether it's corporate AI integration, wearable tech, or the battle for AI talent, this episode offers a sharp look at the risks and opportunities driving tech's next chapter.Come for the Tech, stay for the Magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInLee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like Will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedInKey Discussion Topics:00:00 Welcome to Tech Magic with Cathy Hackl & Lee Kebler04:12 The Dangers of AI Relationships: Why We Need Human Connection11:18 AI Regulation Debate: States' Rights vs Federal Control15:13 DC's Rising Role as a Tech Power Center23:54 Meta's Quest 3S Xbox Edition: A Game-Changing Partnership28:40 Nintendo Switch 2's Success and Hardware Challenges36:50 Meta vs OpenAI: The $100M Talent War43:12 Meta's Smart Glasses Evolution: Oakley & Prada Partnership48:00 Coming Next Week: Dating Robots & AI Love Stories Hosted on Acast. See acast.com/privacy for more information.

Kui Jia, Sumo Logic's Vice President of Engineering and Head of AI, shares how their AWS-powered AI agents transform chaotic security investigations into streamlined workflows.Topics Include:Kui Jia leads AI Engineering at Sumo LogicSREs and SOC analysts work under chaotic, high-pressure conditionsTeams constantly switch between different vendor tools and platformsInvestigation requires quick hypothesis formation and complex query writingSumo Logic processes petabytes of data daily across enterprisesCompany serves 2,000+ enterprise customers for 15 yearsPlatform focuses on observability and cybersecurity use casesInvestigation journey: discover, diagnose, decide, act, learn phasesData flows from ingestion through analytics to human insightsTraditional workflow relies heavily on tribal domain knowledgeSenior engineers create queries that juniors struggle to understandWar room situations demand immediate answers, not learning curvesContext switching between tools wastes time and creates frictionMultiple AI generations deployed: ML anomaly detection to GenAIAgentic AI enables reasoning, planning, tools, and evaluation capabilitiesMo Copilot launched at AWS re:Invent as AI agent suiteNatural language converts high-level questions into Sumo queriesSystem provides intelligent autocomplete and multi-turn conversationsInsight agents summarize logs and security signals automaticallyKnowledge integration combines foundation models with proprietary metadataAI generates playbooks and remediation scripts for automated actionsThree-tier architecture: Infrastructure, AI Tooling, and Application layersBuilt on AWS Bedrock with Nova models for performanceFocus on reusable infrastructure and AI tooling componentsData differentiation more important than AI model selectionGolden datasets and contextualized metadata are development challengesGuardrails and evaluation frameworks critical for enterprise deploymentAI observability enables debugging and performance monitoringEnterprise agents achievable within one year development timelineFuture vision: multiple AI agents collaborating with human investigatorsParticipants:Kui Jia – Vice President of AI Engineering, Head of AI, Sumo LogicFurther Links:Website: https://www.sumologic.com/Sumo Logic in the AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Step inside the future of digital realities with Dr. Burkhard Boeckem, CTO of Hexagon, as he explores the revolutionary convergence of digital twin technology and edge computing with AWS Enterprise Strategist Tom Soderstrom. Learn how Hexagon's approach to digital twins is helping the organization simulate, optimize, and revolutionize its operations while minimizing risks. Dr. Boeckem reveals how Hexagon is pushing the boundaries of industrial innovation by combining AI at the edge with real-time digital twin analytics to unlock unprecedented levels of operational insight directly at the source. Whether you're a technology leader exploring digital twin implementation or an executive looking to leverage edge computing for competitive advantage, this discussion offers valuable insights into the future of industrial digital transformation.

Seventy percent of the world's internet traffic goes through Ashburn, Virginia. That fact has led to the growth of over five hundred data centers in Northern Virginia. Today, we sat down with one of those companies to examine its data centers and its relationship with the federal government. John Reynolds is the Director of QTS Federal. He has decades of experience in federal technology and provides the listener with an overview of QTS's origins, its values, and recent growth. He views the data center business as a real estate endeavor. Land is acquired, a facility is constructed, and it has occupants. A company like Amazon Web Services have their dedicated data centers; QTS can house several different customers. We do not know the specific names; we can assume they are as large as Facebook and encompass federal agencies of all types. Facebook may require one set of standards when it comes to security, and the NIST provides guidelines for federal data protection, which QTS includes as part of its compliance. The company participates in the community and understands the impact of energy requirements and cooling for local communities. John Reynolds highlights the importance of resilience with multi-layered power redundancy and advanced energy contracts. QTS is also expanding into Europe and exploring alternative power sources due to grid limitations.

Wilson Patton, Solutions Architect for Trellix, demonstrates how their four-pillar Gen-AI framework transforms incident alerts into actionable intelligence.Topics Include:Wilson Patton: Trellix Solutions Architect, 20 years government experienceWitnessed evolution from basic firewalls to zero trust architecturesTrellix combines McAfee and FireEye heritage and capabilitiesAI integration isn't new - machine learning embedded for yearsPartnership with AWS Bedrock accelerates Gen-AI development capabilities2014: Developed Impossible Travel Analytic for anomaly detection2016: Launched Guided Investigations framework for SOC analysts2023: Introduced AI Guided Investigations with contextual understanding64% of public sector exploring AI adoption activelyOnly 21% have requisite data ready for trainingGen-AI won't magically clean up messy, siloed data74% of executives doubt AI information accuracy currentlyMonday morning alert queue: 76 high, 318 medium alertsAdversaries steal credentials 90 days before major incidentsCritical breadcrumbs hidden in low-priority informational alerts1000+ data-driven investigative questions developed over eight yearsSkilled analysts take too long reading all answersAutomate analysis, distill thousands down to ten critical alertsFour foundational pillars for effective, trustworthy Gen-AI implementationCybersecurity expertise essential - Gen-AI is just a toolFrameworks ensure reliability and consistent prompting for productionMultiple LLM models tested through AWS Bedrock platformQuality diverse datasets required for accurate question answeringGood prompts combine evidence, context, and comprehensive informationTesting shows order of magnitude price differences between modelsNova Micro provides cost-effective results for many scenariosPrompt engineering superior to fine-tuning for avoiding biasAgentic AI performs multi-step investigations with live dataStrategic model choice based on specific requirements and costsTransparent audit trails mandatory for government compliance requirements Participants:Wilson Patton – Solutions Architect, TrellixFurther Links:Website: https://www.trellix.comTrellix in the AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Everyone wants the latest and greatest AI buzzword. But at what cost? And what the heck is the difference between algos, LLMs, and agents anyway? Tune in to find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Choosing AI: Algorithms vs. AgentsUnderstanding AI Models and AgentsUsing Conditional Statements in AIImportance of Data in AI TrainingRisk Factors in Agentic AI ProjectsInnovation through AI ExperimentationEvaluating AI for Business SolutionsTimestamps:00:00 AWS AI Leader Departs Amid Talent War03:43 Meta Wins Copyright Lawsuit07:47 Choosing AI: Short or Long Term?12:58 Agentic AI: Dynamic Decision Models16:12 "Demanding Data-Driven Precision in Business"20:08 "Agentic AI: Adoption and Risks"22:05 Startup Challenges Amidst Tech Giants24:36 Balancing Innovation and Routine27:25 AGI: Future of Work and SurvivalKeywords:AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started. Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started.

Jeff Chow, Chief Product and Technology Officer at Miro, explores how harnessing AI — in addition to reshaping teams and workflows — accelerates the product development lifecycle. He also shares insight into how Miro is embracing new technology and ways of working to transform its Innovation Workspace.Topics Include:Platform & PartnershipMiro serves 250,000+ customers with 90+ million knowledge workers using their Innovation WorkspacePlatform supports discovery, definition, and delivery phases of innovation processReal-time multiplayer canvas enables team co-creation across multiple formats, including seamless transitions between structured and unstructured work.Three-tier AWS partnership: infrastructure backbone, AI services (Bedrock/Q), and joint customer solutionsInnovation Challenges & FrictionProduct development lifecycle bottlenecks: separate tools per function create process delays and collaborative frictionPain points include stalled product kickoffs, lengthy design ideation cycles, and process delays from engineering architecture discussions.Leadership struggles with project visibility and strategic alignment across initiativesAI TransformationAI fundamentally shifts workflows with universal knowledge access at fingertipsCraft democratization blurs traditional role boundaries (PMs prototyping, developers designing)Agentic workflows and agents collapse traditional development stack layersAI shortcuts enable one-button synthesis of workshops into product briefsProduct development lifecycle compression from 20 steps to 5 key phasesBedrock and Q services create significant business accelerationOrganizational DesignCommon organizational rhythms and rituals create shared working languageDriving maximum impact by aligning on big initiatives vs. distributed prioritiesCollaborating across all functions — product, engineering, design — and at all organizational levelsBottom-up innovation requiring clear problem communication throughout organizationInclusive environments welcoming ideas from junior and introverted team membersWorking backwards planning and PR FAQs adopted from Amazon methodologiesCreating the next big thing with MiroLarge enterprises use Miro for strategic planning, OKR planning, capacity planning, roadmappingVisual proof-of-concepts and live demos make abstract concepts tangibleSame-day product brief delivery improves team collaboration and ownershipVoice of customer integration: automated synthesis of feedback into feature developmentMiro uses Miro internally to build next-generation featuresEnhanced employee engagement alongside improved business outcomesCustomers consistently achieve 2-3x time-to-market improvementsParticipants:Jeff Chow – Chief Product and Technology Officer, MiroJohan Broman – EMEA ISV Head of Solutions Architecture, AWSFurther Links:Website: https://miro.com/page/product-leaders/Miro in the AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Fresh off their “Demystifying AI” panel at the Food On Demand Conference, Carl and Deborah join us to break down how AI can help operators across the industry. From voice AI in the drive-thru to predictive data modeling, they share real-world use cases, unexpected wins, and what operators should focus on next.

HedgeHog Financial Wellness has been announced as overall winner of this year's coveted AWS EdTech Accelerator, run by The Learnovate Centre in Trinity College Dublin, with the support of Amazon Web Services (AWS). Ten EdTech startups were selected to join the eight-week programme, and received support and mentoring on building a digital solution to address a learning need or problem. All participants presented their solutions to Learnovate, AWS, and industry judges at the final 'Pitch Day' showcase which took place on June 17th at the AWS Offices in Dublin. HedgeHog Financial Wellness was announced as overall winner and will receive $100,000 USD of AWS cloud credits. Judges said HedgeHog stood out for its innovative, evidence-based approach to a critical global issue: the spread of financial disinformation among young people. Through its interactive, guilt-free financial wellness workshops, HedgeHog empowers students with the real-world financial skills they need to thrive. HedgeHog is building a strong foundation for financial literacy that is inclusive, practical, and scalable. The judges praised the startup for its clear global relevance, thoughtful pedagogy, and potential to create lasting societal impact by equipping the next generation with the confidence and tools to make informed decisions in an increasingly chaotic financial world. The other nine companies who were successful in making it onto the accelerator programme were: Future Learning, Rocket Learning Rewards, Mantra Strategy, Anytime Creativity, IntegrityIQ, Cobblestone Learning, iAir Academy, ScenarioWorx and WorkJuggle. This is the second year of the successful AWS EdTech Accelerator run by The Learnovate Centre, a leading global future of work and learning research hub, and AWS. Last year's winner was ALPACA, which developed a game-based tool that identified potential reading issues in children earlier. Entry was open to early-stage startups that are developing digital solutions to problems related to education and who want to accelerate growth and scale operations. The companies also received seven full-day workshops led by experts in learning, business and technology. Learnovate Director Nessa McEniff said: "We are delighted to announce HedgeHog Financial Wellness as the winner of this year's AWS EdTech Accelerator. The programme attracted exceptional startups with innovative ideas in the learning space, reflecting the vibrant EdTech community in Ireland. With this Accelerator, Learnovate continues to provide expertise and support to the growing and vibrant community of EdTech startups in Ireland." Learnovate Commercialisation Manager Tom Pollock said: "It's been exciting to see such a strong cohort of Irish EdTech companies engaging with cutting-edge research and innovation. We're proud to support the commercialisation of impactful learning technologies through initiatives like the AWS EdTech Accelerator. This programme exemplifies how academic expertise, industry partnership, and entrepreneurial ambition can come together to develop solutions that address real educational challenges." Stephen Bonney, EdTech Account Manager, at AWS said: "The AWS EdTech Accelerator is an intensive programme designed to accelerate Ireland's most promising education technology startups. By combining AWS's cloud expertise with specialised EdTech mentoring, we're helping Irish founders build scalable solutions that transform learning." Judge Andreea Wade, General Partner at Delta Partners, said: "It was a pleasure to join the judging panel for the Learnovate and AWS EdTech Accelerator. Congrats to all the teams - the ambition and clarity of thinking were inspiring. What set HedgeHog Financial Wellness apart was its goal of tackling a globally relevant issue with precision and purpose. "The startup's solution is grounded in strong evidence, targets a clearly-defined global market, and, most importantly, confronts the rising threat of financial disinformation. In an age whe...

Andrea Malagodi, CTO of Sonar, discusses how the company successfully transitioned from on-premise to SaaS, leveraging AWS partnership and maintaining focus on developer-centric code quality and security solutions.Topics Include:Andrea Malagodi is CTO of Sonar, guest on podcastSonar founded 16+ years ago by three software engineersFounders wanted to help developers understand code quality issuesFocus on giving developers precise, actionable insights for improvementProducts include SonarQube Server, Cloud, and IDE versionsRecent acquisitions: ACR, Tidelift, and Structure 101 companiesSaaS journey began seven years ago with SonarQube CloudInitially targeted individual developers, then expanded to enterprisesNow multi-region with comprehensive enterprise features availableSeven million developers rely on Sonar's solutions globally400,000 organizations and 28,000 enterprise customers use SonarStarted SaaS to test market demand, not assumptionsEngaged customers early to understand migration requirements neededRecommends alpha versions with design customers for feedbackFree tier for open-source code enables quick trialEnterprise certifications (ISO 27001, SOC 2) build trustAWS partnership includes enterprise support and technical resourcesUsed CDK for infrastructure-as-code, experienced early adoption challengesMulti-region strategy should be considered from the beginningAWS Learning partnership certified all engineers in cloudCloud enables faster development cycles than traditional infrastructureRecommends avoiding architectural one-way doors during transitionConsider data residency requirements for global customer baseAI-generated code creates productivity gains but needs validationSonar provides deterministic rules for AI-generated code reviewWorking on MCP protocol and AI code quality solutionsSecurity approach is "start left" not "shift left"Advanced Security offering includes dependency scanning and vulnerabilitiesAvailable on sonarsource.com and AWS MarketplaceFree tier offers 50,000 lines of code analysisParticipants:Andrea Malagodi – Chief Technical Officer, SonarFurther Links:Website: www.sonarsource.comSonar in the AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this episode of the BetterTech podcast, host Umair Javed sits down with Chom Chana, Head of AI and Machine Learning for the SCN region at Amazon Web Services (AWS). With a PhD in computer science and years of experience in business development and AI, Chom shares his expertise on the rapid evolution of AI and its real-world applications. He discusses how businesses are adopting AI technologies, from proof of concepts to full-scale implementations, and the challenges companies face in leveraging AI to drive value. Chom also explores key AI use cases, from improving customer experience to enhancing business workflows and personalization.

Tanuja Randery (VP and Managing Director of EMEA for AWS) interviews Dmitry Gurski, CEO and co-founder of Flo Health, the world's leading women's health app that supports over 70 million monthly users. The conversation explores Gurski's journey from pharmaceutical chemistry to software development, and how he built Flo Health into Europe's first femtech unicorn, with a focus on the company's commitment to women's health, data privacy, and making health services accessible to underprivileged women through gifting 25 million subscriptions.

Kanaiya Vasani, Chief Product Officer, explains how ExtraHop leverages AWS services and generative AI to help enterprise customers address the growing security challenges of uncontrolled AI adoption.Topics Include:ExtraHop reinventing network detection and response categoryPlatform addresses security, performance, compliance, forensic use casesBehavioral analysis identifies potential security threats in infrastructureNetwork observability and attack surface discovery capabilities includedApplication and network performance assurance built-in featuresTraditional IDS capability with rules and IOCs detectionPacket forensics for investigating threats and wire evidenceCloud-native implementations and compromised credential investigation supportExtraHop partnership with AWS spans 35-40 different servicesAWS handles infrastructure while ExtraHop focuses core competenciesExtraHop early adopter of generative AI in NDRNatural language interface enables rapid data access queriesEnglish questions replace complex query languages for usersAgentic AI experiments focus on SOC automation workflowsL1 and L2 analyst workflow automation improves productivityShadow AI creates major risk concern for customersUncontrolled chatbot usage risks accidental data leakageGovernance structures needed around enterprise gen AI usageVisibility required into LLM usage across infrastructure endpointsAI innovation pace challenges security industry keeping upModels evolved from billion to trillion parameters rapidlyTraditional security tools focus policies, miss real-time activity"Wire doesn't lie" - network traffic reveals actual behaviorExtraHop maps baseline behavior patterns across infrastructure endpointsAnomalous behavioral patterns flagged through network traffic analysisMCP servers enable LLM access through standardized protocolsStolen tokens allow adversaries unauthorized MCP server accessMachine learning identifies anomalous traffic patterns L2-L7 protocolsGen AI automates incident triage, investigation, response workflowsBest practices include clear policies, governance, monitoring, educationParticipants:Kanaiya Vasani – Chief Product Officer, ExtraHop NetworksSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/Notes:

In this episode of TechMagic, hosts Cathy Hackl and Adam Davis McGee dive into the cutting edge of spatial computing, AI, and extended reality. Lee is on sick leave this week and we wish him a speedy recovery! Join Cathy and Adam as they unpack Meta's XR partnership with Palmer Luckey, Snap's smart glasses ambitions, and Apple's sleek AR design strategy. Cathy dives into the strange world of vibe coding and discovers anyone can gamify the pitfalls of the dating scene. The conversation also explores AI dating experiments, haptic tech in entertainment, and the evolving ethics of privacy in a spatially connected world. With insights from AWE and ILMxLAB, the hosts reflect on the shift from storytelling to “story living” and highlight key legislation shaping AI security. A must-listen for anyone tracking the future of tech-human interaction.Come for the tech, stay for the magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInAdam Davis-McGee BioAdam Davis-McGee is a dynamic Creative Director and Producer specializing in immersive storytelling across XR and traditional media. As Senior Producer at Journey, he led the virtual studio, pioneering cutting-edge virtual experiences. He developed a Web3 playbook for Yum! Brands, integrating blockchain and NFT strategies. At Condé Nast, Adam produced engaging video content for Wired and Ars Technica, amplifying digital storytelling. His groundbreaking XR journalism project, In Protest: Grassroots Stories from the Frontlines (Oculus/Meta), captured historic moments in VR. Passionate about pushing creative boundaries, Adam thrives on crafting innovative narratives that captivate audiences worldwide.Adam Davis-McGee on LinkedInKey Discussion Topics:00:00 Intro: Welcome to Tech Magic with Cathy Hackl06:33 Meta's Eagle Eye: Military XR Partnership with Palmer Luckey14:05 Apple's Liquid Glass: Paving the Way for AR Glasses17:25 Haptic Innovation: Apple's F1 Movie Trailer Experience19:18 Human vs AI: Why F1 Racing Needs the Human Element22:27 Browser History Dating: AI's Latest Match-Making Experiment26:27 Snap's Vision: Consumer Smart Glasses Coming in 202631:27 From Storytelling to Story Living: ILMxLAB's Immersive Future33:54 Closing Thoughts: Summer Break Announcement Hosted on Acast. See acast.com/privacy for more information.

Cribl's Field CISO Ed Bailey discusses how customers can manage the quality and quantity of data by providing intelligent controls between data sources and destinations.Topics Include:Cribl company name originCompany helps organizations screen data to find valuable insightsEd Bailey was Cribl's first customer back in 2018Data growth of 25% yearly created seven-figure cost increasesCEOs and CIOs complained about explosive data storage costsUsers demanded more data while budgets remained constrainedBailey discovered Cribl through a random Facebook advertisementCribl Stream sits between data sources and destinationsNo new agents required, uses existing infrastructure connectionsReduced data growth from 28% to 8% within yearDevelopment cycles shortened from six weeks to two weeksBailey managed global security and telemetry data systemsOperated large Splunk instance across forty different countriesTeam spent time collecting data instead of extracting valueCribl provided consistent data control plane for operationsSmart engineers could focus on machine learning solutionsMigrated from terrible SIEM to better security platformData strategy should focus on business requirements firstNot all data has the same business valueTier one: Critical data goes to expensive platformsTier two: Important data stored in cheaper lakesTier three: Compliance data in low-cost object storageSIEM costs around one dollar per gigabyte storedData lakes cost twelve to eighteen cents per gigabyteObject storage costs fractions of pennies per gigabyteAWS partnership provides scalable infrastructure for rapid growthEC2, EKS, and S3 are heavily utilized servicesCribl Search finds data directly in object storageAvoids costly data movement for search and analysisParticipants:Edward Bailey – Field CISO, CriblSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Discover what it takes to compete at the highest level in the sporting world in this honest conversation with Jess Corones, General Manager of Performance Support and Olympic Campaign at Swimming Australia. Fresh from Australia's success at the Paris Olympics, Corones shares powerful insights on building high-performance cultures, managing team dynamics in pressure-filled environments, and leading with empathy while maintaining high standards. Learn how Swimming Australia's approach to performance excellence can help your organization become more resilient and achieve its goals. Whether you're leading a small team or a large enterprise, these strategies will help you unlock your team's full potential.

Small and medium-sized businesses (SMBs) are increasingly recognizing the importance of adopting artificial intelligence (AI) to stay competitive in the market. A recent survey indicates that 97% of small businesses utilizing voice AI agents have seen revenue increases. However, many SMBs still perceive AI as complicated or unnecessary, with 63% expressing concerns about their foundational capabilities to support AI initiatives. Despite these hesitations, research shows that 91% of SMBs that have integrated AI report revenue gains, highlighting a significant opportunity for those willing to embrace the technology.The demand for AI expertise is surging, with a notable shortage of talent in the IT sector. Over half of IT leaders report facing an undersupply of AI skills, a figure that has increased from 28% in previous years. While 90% of organizations are piloting or investing in AI initiatives, more than two-thirds of leaders have yet to see measurable returns on their investments. This skills gap emphasizes the need for IT service providers to step in as guides, helping SMBs navigate the complexities of AI adoption and implementation.Cloud spending has also surged, reaching $90.9 billion in the first quarter of 2025, driven by the need to optimize cloud infrastructure for AI applications. Major cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud dominate the market, but the increasing complexity of cloud computing necessitates external expertise. IT service providers have a unique opportunity to position themselves as AI infrastructure enablers, focusing on simplifying hybrid cloud management and aligning cloud strategies with business objectives, particularly in relation to AI.Recent studies, including one from the University of Oxford, highlight the limitations of large language models (LLMs) in real-world applications, particularly in critical sectors like healthcare. While LLMs may perform well in controlled environments, their effectiveness diminishes when humans interact with them. This underscores the importance of designing AI systems that prioritize human outcomes over mere model accuracy. As companies like Zoom, MailChimp, and Microsoft launch new AI tools, the focus for IT service providers should shift from merely selling AI tools to ensuring responsible and effective deployment that delivers measurable value. Four things to know today 00:00 SMBs See AI as Key to Growth but Struggle With Skills and Strategy, Opening Door for IT Service Providers04:53 AI Boom Fuels 21% Surge in Global Cloud Spend, Forcing Providers to Tackle Hybrid Complexity and Cost Pressures07:38 AI Can Diagnose—But Can People Use It? Oxford Study Undermines LLM Utility in Critical Settings10:11 Mailchimp, and Microsoft Launch Next-Gen Tools Aiming for the Customer Experience This is the Business of Tech.    Supported by: https://getflexpoint.com/msp-radio/https://www.huntress.com/mspradio/ All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Saviynt Co-Founder Amit Saha discusses how their AWS partnership has enabled the identity security company to deliver comprehensive identity protection while minimizing organizational friction.Topics Include:Saviynt is leading identity security provider in marketSecures human, non-human, workforce, and privileged access identitiesEliminates friction while automating organizational access management processesBiggest challenge: reducing friction in new access processesSecond challenge: visibility into accumulated technical debt problemsLost business context makes access permissions difficult to unwindSaviynt provides quick visibility to prioritize identity risksShadow IT creates ungoverned workloads and cloud applicationsNeed integration with asset management and cloud providersMust derive intelligence from multiple disconnected information sourcesAWS partnership provides access to prolific customer baseAWS security owners are same buyers for SaviyntEleven-year AWS relationship with early security competencyISV Accelerate program connects with sellers and architectsRising Star program helps stand out in crowded marketplaceFind mutual customers for successful AWS partnership storiesGenAI in bad actors' hands compromises customer securityProduct engineering uses GenAI tools for better qualityAgentic AI creates new paradigm between human/non-human identitiesAgentic AI requires dynamic, fluid access management approachesAI agents can generate their own bots needing accessZero trust principles needed at broader scale for AINext twelve months: getting ahead of GenAI curveNew AWS services launch daily in GenAI spaceContributing to new standards like MCP and A2A protocolsAWS Marketplace simplifies procurement and buyer discovery processesEDP program and migration incentives benefit ISV transactionsAWS developer-friendly startup programs accelerate time to marketCloud-native approach enables predictable scaling and AWS integrationAWS-Saviynt partnership aims for once-in-generation security impactParticipants:Amit Saha – Co-Founder and Chief Growth Officer, SaviyntSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Send us a textLinking the Travel Industry is a business travel podcast where we review the top travel industry stories that are posted on LinkedIn by LinkedIn members.  We curate the top posts and discuss with them with travel industry veterans in a live session with audience members.  You can join the live recording session by visiting BusinessTravel360.comYour Hosts are Riaan van Schoor, Ann Cederhall and Aash ShravahStories covered on this session include -Air France-KLM, Delta Air Lines, Virgin Atlantic and IndiGo (InterGlobe Aviation Ltd) announce an extensive partnership.Air France-KLM also took it further in a partnership deal with Riyadh Air | طيران الرياض.Amadeus makes an investment in Acai Travel, who provides AI driven services to TMCs and OTAs.Uber acquires Denmark's largest taxi operator, Dantaxi.Virgin Australia launch their highly anticipated IPO.The government of Norway sell their remaining stake in Norwegian.Iberia looks outside the industry and turns to Amazon Web Services (AWS) to "accelerate their digital transformation".You can subscribe to this podcast by searching 'BusinessTravel360' on your favorite podcast player or visiting BusinessTravel360.comThis podcast was created, edited and distributed by BusinessTravel360.  Be sure to sign up for regular updates at BusinessTravel360.com - Enjoy!Support the show

  Generativ AI förändrar allt, men hur ska företag egentligen anpassa sig för att hänga med i utvecklingen? I veckans avsnitt gästar Tom Söderström, tidigare teknikchef på NASA och idag senior strateg på Amazon Web Services. Med över 40 års erfarenhet av innovation på högsta nivå förklarar han varför generativ AI är den största teknologiska möjligheten på decennier. "Det har aldrig varit en bättre tid att arbeta med IT och innovation. Think big, start small, scale fast." Vi pratar om hur företag måste tänka för att snabbt testa, lära sig och skala nya AI-lösningar. Missa inte! Glöm inte prenumerera på podden och följ oss på instagram

After an informative 45-day trial run, the Department of the Navy is getting set to expand its rollout of emerging AI capabilities for sailors, Marines and civilians to speedily adopt in support of their daily operations — via its new DoN GPT tool. Jacob Glassman, who serves as senior technical advisor to the assistant secretary of the Navy for research, development and acquisition, told DefenseScoop Thursday that this is a new way for the Navy to rapidly innovate and rapidly prototype. GenAI encompasses the field of still-maturing technologies that can process huge volumes of data and perform increasingly “intelligent” tasks — like recognizing speech or producing human-like media and code based on human prompts. These capabilities are pushing the boundaries of what existing tech can achieve. Still, according to Glassman, the Navy has historically “struggled with AI adoption.” Amazon has received federal authorizations that allow Anthropic's Claude and Meta's Llama AI models to be used within high-sensitivity government computing environments, the company's cloud computing division announced Wednesday. The company has achieved FedRAMP “High” authorization as well as at the Defense Department's Impact Levels 4 and 5 for use of the two foundation models in AWS GovCloud, its government cloud environment, according to a blog post by Liz Martin, Department of Defense director at Amazon Web Services. That means it's met the security requirements needed for the AI models to be used with some of the government's most sensitive civilian and military information, and per Martin, it's the first cloud provider to receive that level of authorization for Claude and Llama. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

Hear from Prabhakar Appana, SVP and Head of AWS Ecosystem at HCLTech, about their leadership in Generative AI implementation. Prabhakar discusses HC Tech's holistic approach to Generative AI, emphasizing the importance of data strategy, security, and sustainability, while sharing success stories across healthcare, banking, and insurance sectors.

Chief Architect Russell Leighton discusses how Panther's cloud platform revolutionizes security operations by treating detections as Python code and AI enabled alert vetting turning responses from hours into minutes. Topics Include:Panther is a cloud security monitoring tool (cloud SIEM)Works at massive scale, more cost-effective than legacy systemsKey differentiator: "detections as code" written in PythonBrings software engineering best practices to security operationsEnables unit testing and version control for security detectionsRecently adopted generative AI to improve security workflowsSOC burnout is renowned due to tedious ticket processingAI has intelligence of security engineer, works much fasterExample: Alert shows "Russ Leighton removed branch protection"Old way: Manual log analysis, checking user profiles manuallyTakes hours of squinting at detailed log dataNew AI way: Automatic vetting happens in minutesAI checks user profile in Okta or IDPDetermines engineer status, assesses typical behavior patternsProvides risk assessment based on historical alert dataLow risk for engineers, high risk for unusual usersExample: HR person accessing production code is escalatedCustomer quote: Takes vetting "from hours to seconds"Panther customers get dedicated AWS accounts for securityCompany can't see customer data, only self-reported metricsAI provides summaries, risk assessments, timelines, visualizationsAlso suggests remediations like human security engineer wouldInitial concerns about putting AI in production environmentCustomer feedback exceeded expectations with feature requestsAWS Bedrock integration addresses customer security concernsUses Anthropic Claude as base LLM through BedrockCustomers can enable additional Bedrock guardrails independentlyAI transparency prevents hallucination concerns through explanationsClaude's extended thinking mode shows reasoning processAI visualizes thinking with flowcharts explaining decision processParticipants:Russell Leighton – Chief Architect, PantherFurther Links:Website: Panther.comAWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Security leaders from Anthropic and AWS discuss how agentic AI is transforming cybersecurity functions to autonomously handle everything from code reviews to SOC operations.Topics Include:Agentic AI differs from traditional AI through autonomy and agencyTraditional AI handles single workflow nodes, agents collapse multiple stepsHigher model intelligence enables understanding of broader business contextsAgents make intelligent decisions across complex multi-step workflows processesEnterprise security operations are seeing workflow consolidation through GenAIOrganizations embedding GenAI directly into customer-facing production applicationsSoftware-as-a-service transitioning to service-as-software through AI agentsSecuring AI requires guardrails to prevent hallucinations in applicationsNew vulnerabilities appear at interaction points between system componentsAttackers target RAG systems and identity/authorization layers insteadLLMs hallucinate non-existent packages, attackers create malicious honeypotsGovernance frameworks must be machine-readable for autonomous agent reasoningAmazon investing in automated reasoning to prove software correctnessAnthropic uses Claude to write over 50% of codeAutomated code review systems integrated into CI/CD pipelinesSecurity design reviews use MITRE ATT&CK framework automationLow-risk assessments enable developers to self-approve security reviews40% reduction in application security team review workloadAnthropic eliminated SOC, replaced entirely with Claude-based automationIT support roles transitioning to engineering as automation replaces frontlineCompliance questionnaires fully automated using agentic AI workflowsISO 42001 framework manages AI deployment risks alongside securityExecutive risk councils evaluate AI risks using traditional enterprise processesAWS embeds GenAI into testing, detection, and user experienceFinding summarization helps L1 analysts understand complex AWS environmentsAmazon encourages teams to "live in the future" with AIInterview candidates expected to demonstrate Claude usage during interviewsSecurity remains biggest barrier to enterprise AI adoption beyond POCsVirtual employees predicted to arrive within next 12 monthsModel Context Protocol (MCP) creates new supply chain security risksParticipants:Jason Clinton – Chief Information Security Officer, AnthropicGee Rittenhouse – Vice President, Security Services, AWSHart Rossman – Vice President, Global Services Security, AWSBrian Shadpour – GM of Security and B2B Software Sales, AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Spryker's Chief Product Officer, Elena Leonova, discusses the Spryker Business Intelligence platform and how working with AWS as a strategic advisor unlocked deeper opportunities for transformative growth.Topics Include:Elena Leonova introduces Spryker as digital commerce platformSpryker focuses on sophisticated B2B commerce transactionsTraditional industries: manufacturing, industrial goods, med techCustomers sell complex equipment like MRI machines, tractorsProducts are custom-built to order through procurement processesExtensive negotiation and aftermarket servicing are requiredCompetitors focus on fashion, food - not complex equipmentSpryker exclusively hosted on AWS cloud infrastructureAWS partnership enables new capabilities and customer innovationBusiness intelligence tools and AI capabilities now availableRicoh example: global manufacturer of industrial-grade printersRicoh sells through dealers and distributors worldwideS-Diverse: new automotive software marketplace partnership platformConnects automotive manufacturers with embedded software producersSpryker Business Intelligence powered by Amazon QuickSight launchedCommerce becoming more intelligent than traditional repeat purchasesComplex equipment buyers don't purchase MRI machines weeklyPlatform provides insights into customer portal navigation patternsCombines commerce data with search, CRM, competitive intelligenceHelps merchants identify revenue optimization signals from noiseBusiness intelligence integrated directly within Spryker platformCustomers should evaluate platform's future scalability and flexibilityRevenue optimization requires understanding what metrics to improveEasy-to-use data analysis prevents information overload problemsQuickSight's GenAI capabilities enable faster executive decision-makingAWS partnership provided cost optimization and innovation confidenceElena initially viewed AWS as just hosting providerBuilding shared vision with AWS unlocked deeper collaborationAWS became trusted advisor for strategy and partnershipsGenerative AI enables multi-persona communication across customer typesParticipants:Elena Leonova – Chief Product Officer, SprykerSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

NWN Corporation has acquired InterVision Systems, a managed services provider known for its innovative IT solutions and a strong partnership with Amazon Web Services. This strategic acquisition aims to enhance NWN's offerings in customer experience, cybersecurity, and intelligent infrastructure, solidifying its position in the North American technology market. With the addition of 1,600 new accounts and approximately $470 million in sales, NWN is set to significantly improve its market presence and accelerate the digital transformation journeys of its clients. CEO Jim Sullivan emphasized that this move will allow NWN to provide a comprehensive suite of AI-managed services, positioning the company as a leader in the emerging AI-native platform MSP sector.Empath, a training and education platform for managed service providers, has successfully raised $2 million in funding backed entirely by industry insiders. This initiative aims to deepen community engagement and give MSPs a stake in the platform's growth. Co-founder Wes Spencer highlighted the importance of having funding from within the MSP ecosystem, fostering loyalty and advocacy among investors who are also customers. While the funding model is innovative, concerns remain regarding its scalability and governance, particularly as future funding rounds may require traditional venture capital or private equity involvement.The podcast also discusses the introduction of AI agents by major tech companies like Microsoft, Snowflake, and Google, which are reshaping the managed service provider landscape. These AI tools are designed to enhance data analysis and automate workflows, allowing businesses to operate more efficiently. As AI agents become more integrated into everyday operations, MSPs must adapt their service offerings to meet the evolving needs of their clients, focusing on governance, data management, and workflow alignment.Finally, the episode touches on a collaborative effort among major tech firms to create a public glossary for state-sponsored hacking groups and cybercriminals. While this initiative aims to reduce confusion in the cybersecurity landscape, critics argue that it does not address the underlying challenges of attribution and operational defense. The podcast emphasizes the need for standardized threat intelligence delivery to help MSPs navigate the complexities of cybersecurity and build trust with their customers.  Four things to know today  00:00 NWN's $470M InterVision Deal Signals Strategic Shift Toward End-to-End AI-Managed Services04:18 Empath Raises $2M from MSPs, Blending Customer Ownership with Startup Capital07:09 AI Agents Go Mainstream: From MSP Operations to M365 and Edge, the Stack Is Shifting10:19 Glossary Effort Shows Progress on Language, Not Yet on Coordination Supported by:  https://getnerdio.com/nerdio-manager-for-msp/ All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

In this episode of TechMagic, hosts Cathy Hackl and Lee Kebler unpack the latest breakthroughs in AI and their ripple effects across industries. Cathy dives into the strange world of vibe coding and discovers anyone can gamify the pitfalls of the dating scene. They discuss how AI democratizes app creation, they examine Business Insider's bold move toward a 70% AI-driven newsroom, Apple's strategic push into gaming, and XR military collaborations from Meta and Microsoft. From wearable AI to the future of digital work, Cathy and Lee offer a sharp, balanced look at how AI is reshaping our world.Come for the tech, stay for the magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInLee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like Will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedInKey Discussion Topics:00:00 Intro: Welcome to Tech Magic with Cathy Hackl and Lee Kebler03:45 The Rise of Vibe Coding: Non-Developers Creating Sophisticated Apps15:30 Business Insider's AI Adoption and the Future of Journalism25:45 The Hidden Cost of Replacing Entry-Level Jobs with AI35:20 Social Media's Evolution in the Age of AI Content45:15 Apple's Gaming Strategy: Studio Acquisition and Platform Development55:30 XR Military Contracts: Meta, Microsoft, and Palmer Luckey's Partnership01:05:00 Next Week at AWE: Live Broadcasting and Upcoming Conversations Hosted on Acast. See acast.com/privacy for more information.

Over the past two decades, Bret Taylor has quietly helped shape the arc of Silicon Valley.From co-creating Google Maps to steering Facebook, Salesforce, and OpenAI, he's been behind some of the most consequential products in tech. Now, with his new company Sierra, he's starting from zero—again.In this conversation, Bret opens up about how founders navigate identity, why the best ideas often come from everyday friction, and how staying relentlessly focused can unlock real momentum in AI.Guest: Bret Taylor, Co-Founder of SierraChapters:00:00 Trailer00:49 Introduction01:57 Saving OpenAI09:15 Overwhelming yet capable of a lot13:36 Father and founder16:49 History is written by the victors22:13 How you price matters35:58 Stickiest piece of software49:48 The first realtime social network55:34 Facebook CTO who rewrote Google Maps1:02:10 Least known, most impressive1:11:39 The best way to predict the future1:16:22 Most personally passionate1:21:22 Currency of reputation1:27:17 Away from work1:28:35 Who Sierra is hiring1:28:58 What “grit” means to Bret1:29:18 OutroMentioned in this episode: Google Maps, Salesforce, OpenAI ChatGPT, Meta Facebook, X (formerly Twitter), Sam Altman, Elon Musk, Mark Zuckerberg, Google, Marissa Mayer, Excite, MSN, AltaVista, Amazon, Harvey, Airbnb, Coinbase, Apple, John Doerr, Cursor, Codeium Windsurf, Perplexity, xAI, Kleenex, Amazon Web Services (AWS), FriendFeed, Tumblr, Kevin Gibbs, Google Maps, Yelp, Trulia, iOS App Store, Blackberry, Facebook Messenger, Marvel Avengers, Slack, Quip, Leonardo da Vinci, Clay Bavor, Microsoft, Eric Schmidt, Alan Kay, Brian Armstrong, Brian Chesky, Shopify, SiriusXM, Patrick CollisonLinks:Connect with Bret TaylorXLinkedInConnect with JoubinXLinkedInEmail: grit@kleinerperkins.comLearn more about Kleiner Perkins