Podcasts about cloud services

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/

Shereen, an Infrastructure Team Leader in Cloud Services at NEXT, shares her inspiring career journey from an IT apprentice at 16 to a team leader.She discusses the critical role of cybersecurity in today's world, emphasising how her team remediates vulnerabilities and defends against constant hacking attempts to ensure business continuity. Shereen also highlights the rewarding aspect of nurturing her team's growth and potential, fostering a supportive and fun work environment. Finally, she offers valuable insights on being a woman in tech, noting the positive shift towards greater female representation in the industry.Don't forget to subscribe to our channel and hit the notification bell to receive updates on everything Life at NEXT!Pursue your ambition and join the NEXT team → https://tinyurl.com/3esp3ux8Follow us!Instagram: www.instagram.com/lifeatnextTikTok: www.tiktok.com/@lifeatnextFacebook: www.facebook.com/lifeatnextLinkedIn: www.linkedin.com/company/lifeatnext#LifeAtNEXT #LetsTakeItOn

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/

ActiveFence CEO Noam Schwartz discusses how his company evolved from protecting platforms against user-generated harmful content to helping companies deploy public-facing AI safely at scale.Topics Include:Noam Schwartz introduces himself as ActiveFence CEOFormer intelligence officer specializing in open source intelligenceMission: protect online experiences for everyone everywhereOnline platforms constantly hammered by various attacksAttacks include cybersecurity, abuse, hate speech, spamCompanies playing endless whack-a-mole game with violationsNeed scalable solution that works across languages/formatsDeveloped enterprise-grade technology for sophisticated companiesAmazon became customer and great partner early onGenerative AI introduction changed the game completelyLLMs non-deterministic unlike traditional programmed chatbotsSame input produces different outputs each timeAI deployed in customer support, healthcare, airlinesNew risks when models speak on company's behalfOne bad output creates legal and reputational damageCompanies need to deploy public-facing AI safelyTransition affects healthcare, finance, gaming, government sectorsBuilding on years of user-generated content expertiseNo specific ChatGPT moment triggered their AI pivotActiveFence was AI company since day oneModel companies like Amazon, Nvidia asked for helpRealized their expertise perfectly suited for AI safetyStaying on top of AI developments is impossibleFocus on customer adoption, not every new releaseMain enterprise challenge is trusting AI technologyUnrealistic expectations for 100% accuracy from AIMost companies will license existing models, not buildSecurity solutions remain independent like traditional cybersecurityParticipants:Noam Schwartz – CEO and Co-Founder, ActiveFenceOfer Oringher – Software and Technology Account Manager, AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Jeff Moncrief discusses Sonrai Security's Cloud Permissions Firewall, and the best practices for using AI-powered summaries and orchestration to ensure security at all points.Topics Include:Jeff Moncrief introduces Sonrai Security and Cloud Permissions FirewallFocus on achieving least privilege access in AWS quicklyLightweight orchestration layer secures IAM from inside outEliminates need to write hundreds of individual policiesCustomers struggle with identity risk in CNAP/CSPM toolsGenerative AI adoption driving top security use casesBedrock and AI agents mentioned daily by customersProduct managers should consider underlying platform security risksAI models have control over infrastructure they run onIdentity is fundamental infrastructure enabling AWS AI modelsSonrai uses Bedrock capability inside Cloud Permissions FirewallJust-in-time access provides temporary, time-boxed AWS accessBedrock generates session summaries from audit logs automaticallyPlain English insights show what happened during sessionsSession summaries improve audit compliance and incident responseCustomer with 1000 accounts manually deployed service controlsFriday afternoon deployment caused very bad weekend disasterPolicy inheritance issues broke child accounts and OUsPlanning and orchestration essential for scaling AI securitySonrai platform built 100% cloud-native on AWSCoordinates service control policies and resource control policiesJust-in-time access relies on IAM Identity CenterParticipates in ISV Accelerate and AWS MarketplaceSecurity best practices start with identity as foundation"Hackers don't hack, they just log in" philosophyEliminate standing privileges with just-in-time access patternsRestrict AI services by user, location, and accountReview over-permissioned or inactive third-party vendor accessActionable insights through useful logging and AI summarizationFuture focus on protecting new services and permissionsParticipants:Jeff Moncrief – Field CTO & Director of Sales Engineering, Sonrai SecurityLinks:Website – Sonraisecurity.comAWS Marketplace – Sonrai SecuritySee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Are you overwhelmed by the thousands of photos on your phone? Whether you're a busy mom or an entrepreneur, having a photo organization system is crucial.   Angela Andrieux, a fine art photographer and photography coach, explains how Mylio Photos can save you time and stress when searching for the perfect picture for your next project.   In this episode, we discuss: The significance of having a photo organization system for both personal and business needs Tips on starting your photo organization journey without feeling overwhelmed The 3-2-1 backup strategy to ensure your photos are safe and secure Benefits of using facial recognition and metadata for easy photo retrieval   Whether you have 1,500 photos or thousands, Angela provides actionable steps to help you take control of your digital memories. Don't let the chaos of your camera roll keep you up at night—tune in and learn how to create a system that works for you!   Check out Mylio Photos for organizing your photos.   Connect with Angela: Website: https://angelaandrieux.com  Instagram: https://www.instagram.com/angandrieux    ✨ Join my Mompreneur Glow Up email list. It's your go-to source for all things life, leadHERship, and mindset.  

Akanksha Bilani of Intel shares how businesses can successfully adopt generative AI with significant performance gains while saving on costs.Topics Include:Akanksha runs go-to-market team for Amazon at IntelPersonal and business devices transformed how we communicateForrester predicts 500 billion connected devices by 20265,000 billion sensors will be smartly connected online40% of machines will communicate machine-to-machineWe're living in a world of data delugeAI and Gen AI help make data effectiveGoal is making businesses more profitable and effectiveVarious industries need Gen AI and data transformationIntel advises companies as partners with AWSThree factors determine which Gen AI use cases adoptFactor one: availability and ease of use casesHow unique and important are they for business?Does it have enough data for right analytics?Factor two: purchasing power for Gen AI adoption70% of companies target Gen AI but lack clarityLeaders must ensure capability and purchasing power existFactor three: necessary skill sets for implementationNeed access to right partnerships if lacking skillsIntel and AWS partnered for 18 years since inceptionIntel provides latest silicon customized for Amazon servicesEngineer-to-engineer collaboration on each processor generation92% of EC2 runs on Intel processorsIntel powers compute capability for EC2-based servicesIntel ensures access to skillsets making cloud aliveAWS services include Bedrock, SageMaker, DLAMIs, KinesisPerformance is the top three priorities for successNot every use case requires expensive GPU acceleratorsCPUs can power AI inference and training effectivelyEvery GPU has a CPU head node component Participants:Akanksha Bilani – Global Sales Director, IntelSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Victoria Chin of Asana and Michael Horn of AWS demonstrate how Amazon Q integrates with Asana to enable AI-powered workflows while dramatically reducing manual work and improving cross-functional collaboration.Topics Include:Victoria Chin introduces herself as Asana's CPO Chief of StaffMichael Horn from AWS discusses customer feedback on generative AIAI agents limited by quality of data pulled into themAmazon Q Business created to analyze information and take actionHundreds of customers using Q Business across various industries dailyAWS hosts most business applications, ideal for AI journeyAmazon Q has most built-in, managed, secure data connectors availableQ Index creates comprehensive, accessible index of all company dataSecurity permissions automatically pulled in, no manual configuration neededSupports both structured and unstructured data from multiple sourcesVictoria returns to discuss Asana's integration with Q IndexBillions invested in integrations, but usage still lags behindTeams switch between apps 1000 times daily, missing connectionsRoot problem: no reliable way to track who/what/when/whyContent platforms store work but don't manage or coordinateAsana bridges content and communication for effective teamwork scalingAI disrupting software, but questions remain about real valueSoftware must provide structured framework to guide LLMs effectivelyAI needs data AND structure to separate signal from noiseAsana Work Graph maps how work actually gets done organizationallyWork Graph visualized as interconnected data, not rows and columnsMost strategic work is cross-functional, requiring multiple teams collaboratingTraditional integrations require manual setup and knowing when to useQ Index gives Asana access to 40+ different data connectorsUsers can ask questions, get answers with cross-application contextAI Studio enables no-code building of workflows with AI agentsProduct launch example shows intake, planning, execution, and reporting stagesAI can surface relevant documents, research, and updates automaticallyChat is tip of iceberg; real power comes from embedded workflowsIntegration evolves from feature-level to AI-powered product-level connectionsParticipants:Victoria J. Chin – Chief of Staff / Product Strategy, AI, AsanaMichael Horn – Principal Head of Business Development – Artificial Intelligence & Machine Learning, AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

AWS leaders commemorate the podcast's 100th episode while looking ahead to expanded coverage of technology partners and continued focus on generative AI, modern data strategies, agentic AI solutions and more!Topics Include:Episode 100 celebrates milestone of AWS software companies podcastWeekly podcast shares ISV stories, best practices, guidanceToday features AWS leader thoughts on ISV communityArym Diamond heads North America data and AI salesSpecialist team helps win deals, create happy customersISV customers do cutting-edge work on AWS platformISVs create force multiplier effect for entire companyBuilding community through podcast video and audio contentKristen Backeberg leads global ISV partner marketing at AWSPodcast featured 157 ISV leaders from 121 companiesReached over 30,000 listeners across 90+ countries worldwideISV partners drive cloud innovation across all industriesAWS supports growth from startups to enterprise leadersAPN network designed to help partners succeed, scaleOlawale Oladehin directs ISV solutions architecture in North AmericaPodcast shares customer insights, journeys, and innovationsAWS technology continues evolving to meet customer needsCarol Potts leads North America ISV sales at AWSPodcast started less than two years agoFirst episode titled "Data the Engine for Growth"Customer obsession drives everything AWS does for ISVsDeep collaboration focused on joint ISV success partnershipsVishal Sanghvi heads ISV marketing for North AmericaISVs face pressure delivering products at generative AI paceModern data strategy foundational for ISV product successFavorite episodes include Snowflake, Wiz, Coupang discussionsAWS offers programs for every ISV persona typeFuture episodes focus on generative AI, cybersecurity, dataAgentic AI becoming important for production phase evolutionPodcast expanding scope to include technology partnersParticipants:Kristen Backeberg – Director, Global ISV, Solutions Enterprise and Alliance Partner Marketing, Amazon Web ServicesArym Diamond – Director, US ISV Specialists, Amazon Web ServicesOlawale Oladehin – Director, ISV, Solutions Architecture, North America, Amazon Web ServicesCarol Potts – GM, ISV Sales Segment, North America, Amazon Web ServicesVishal Sanghvi - Head of ISV Field Marketing, North America, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Executive leaders from UneeQ and Zeta Global discuss the revolutionary impact of AI technologies that enable enhanced customer experiences and improved sales performances.Topics Include:Dave Cristini introduces panel on AI in advertising and marketing.Panel explores personalized experiences at scale with privacy focus.UneeQ creates AI-powered digital humans for brand interactions.Zeta Global uses AI to optimize customer messaging.LLMs combined with traditional ML empowers marketers to create models.Marketers can now build models without needing data scientists.AI agents integrated into systems can take action, not just respond.Agent chaining orchestrates sophisticated marketing actions automatically.AWS Bedrock provides tools to shape AI marketing future.Hyper-personalization becoming more achievable through AI automation.Ethics requires authenticity in brand AI representation.Transparency about data usage builds customer trust.Win-win approach: AI should augment teams, not just reduce costs.Integration difficulties remain a major challenge for AI implementation.AI agents have limited context windows and memory.Solution: Create specialized agents with persistent viewpoints.Companies need strong integration capabilities before implementing AI.Privacy regulations impact AI use in global marketing.Highly regulated industries require careful AI implementation strategies.Generative AI creates compliance challenges with unpredictable outputs.Digital humans eliminate judgment, revealing new customer insights.Banking clients discovered customers didn't understand financial terminology.Zeta improved onboarding with AI agents for data mapping.AI data mapping increased NPS scores and accelerated monetization.CMOs and CIOs increasingly collaborating on AI initiatives.Tension exists between marketing (quick wins) and IT (security).Strategic alignment with approved infrastructure enables scaling AI solutions.CEOs have critical role in aligning AI goals across departments.Internal AI use case: practicing sales with digital humans.Sales teams achieved 500% higher sales through AI role-playing.Participants:Danny Tomsett – Chief Executive Officer, UneeQRoman Gun – Vice President, Product, Zeta GlobalDavid Cristini – Director, ISV Sales, North America – Business Applications, AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Join Kamyabi Network: https://kamyabinetwork.com/Guest Introduction: Joining us today is Zeeshan Sikander, the Founder & CEO of Zenkoders, a cutting-edge software company he's been passionately building since 2019. With over 10 years of experience in Software Development and Project Management, Zeeshan has grown Zenkoders from a solo venture into a team of 80+ talented individuals. His background also includes experience as a Product Development Engineer at Habib Bank Limited, where he focused on designing and developing HBL's mobile apps. At Zenkoders, they specialize in turning ideas into tangible success, offering services ranging from Mobile Apps and Web Development to Cloud Services and E-commerce. Zeeshan's vision is to lead Zenkoders to the forefront of the global software landscape, and he's always open to innovative collaborations.Do not forget to subscribe and press the bell icon to catch on to some amazing conversations coming your way!Socials:TBT's Official Instagram: https://www.instagram.com/thoughtbehindthings      Muzamil's Instagram: https://www.instagram.com/muzamilhasan  Muzamil's LinkedIn: https://www.linkedin.com/in/muzamilhasan    Zeeshan's LinkedIn: https://www.linkedin.com/in/mzeeshansikander/Podcast Links:Spotify: https://spoti.fi/3z1cE7F       Google Podcast: https://bit.ly/2S84VEd        Apple Podcast: https://apple.co/3cgIkf 

In this episode of Campus Technology Insider Podcast Shorts, host Rhea Kelly covers the key tech stories in higher education. Highlights include Fortinet's report on the critical role of identity in cloud security, Meta's launch of a standalone AI app featuring Llama 4, and a Cloudera survey revealing data privacy as a top concern for AI adoption. Tune in for more insights on these stories and their implications for the education sector. 00:00 Introduction and Host Welcome 00:17 Critical Security Perimeter in Cloud Services 00:48 Meta Platforms Launches Standalone AI App 01:21 Cloudera Survey on AI Agents and Data Privacy 01:57 Conclusion and Further Resources Source links: Report: Identity Has Become a Critical Security Perimeter for Cloud Services Meta Launches Stand-Alone AI App Study: Data Privacy a Top Concern as Orgs Scale Up AI Agents Campus Technology Insider Podcast Shorts are curated by humans and narrated by AI.

Ash Pembroke, Portfolio CTO of Caylent, discusses the critical balance of data accuracy in the era of Gen AI for the benefit of boosting innovation.Topics Include:Ash Pembroke, Portfolio CTO of Caylent, self-identifies as a "recovering data scientist."Caylent is an AWS native services company.Data quality remains an issue despite Gen AI.Contrasts legalism versus mysticism in data quality.Legalism: accurate data when applications need it.Mysticism: insights that help decision-making.Traditional data foundations approach is being challenged weekly.Gen AI developments force rethinking of solution architectures.Teams share solutions through giant Slack threads.Example: Vector databases questioned after model context protocol.Still do traditional data assessments, but stay flexible.Integration and data processing constantly get abstracted.Data strategy equals architecture strategy equals business strategy.Traditional approach: standardize data across engineering teams.New approach: allow business users to innovate.Bring valuable techniques back to the organization.Case study: North Sea wind turbine alerts.Initially seen as data quality issue, revealed new predictive failure signal.Gen AI enables local experimentation by business users.Blurring lines between enterprise enablement and software building.BrainBox AI case study: energy optimization across buildings.Architecture decisions impact ability to scale products.Work with business edges rather than looking for patterns.Gen AI can process information from these working groups.Think about data as a product, not asset.Redimensionalize dependencies across your organization.Now's a good time to attack data quality.New tools help visualize complexity across organizations.Participants:· Ash Pembroke – Portfolio CTO, CaylentSee 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 Market Bites, the team review earnings reports from Meta, Microsoft, Apple, and Amazon, focusing on AI investments, cloud services, and tariff impacts. They highlight strong performance across the board and discuss how these tech giants are strategically adapting to a changing economic and regulatory landscape. .

In einer zweiten Folge des unserer kurzen Serie über das Thema wie Cloud-Services wirklich entstehen teilt Thomas weitere, reichhaltige Erfahrungen aus über 13 Jahren Service-Entwicklung. Seine Erkenntnisse gewähren einen exklusiven Blick hinter die Kulissen, wie AWS seine erfolgreichen Cloud-Services von der Startphase bis zur kontinuierlichen Evolution gestaltet. Der Weg zum perfekten Service-Launch ist für AWS paradoxerweise dann am erfolgreichsten, wenn er "langweilig" verläuft. Diese scheinbar simple Philosophie verbirgt eine durchdachte Strategie: Intensive Vorbereitungen, umfassende Tests und präzise Abstimmungen mit allen Beteiligten sorgen für reibungslose Starts neuer Services. Das bewährte "You build it, you run it"-Prinzip stellt dabei sicher, dass Entwicklerteams von Anfang an die volle Verantwortung für ihre Services übernehmen. Besonders ist der Einblick in die organische Entwicklung der Teams parallel zum Servicewachstum. AWS fördert dabei gezielt die persönliche Entwicklung seiner Mitarbeiter durch interne Rotationen und aktiven Wissensaustausch. Diese Dynamik ermöglicht es den Teams, mit ihren Services zu wachsen und gleichzeitig frische Perspektiven zu bewahren. Die kontinuierliche Modernisierung bestehender Services zeigt AWS' Engagement für technische Exzellenz. Dabei steht stets der Kundennutzen im Vordergrund - sei es durch transparente Migrationen zu neuen Versionen oder durch aktive Unterstützung bei notwendigen Änderungen. AWS nutzt dabei seine eigene Infrastruktur, um Effizienz und Skalierbarkeit zu maximieren. "Der entscheidende Teil unseres Erfolgs liegt im gemeinsamen Verständnis unserer Ziele", reflektiert Lobinger. "Es geht nicht um das 'Was', sondern um das 'Wie' - und dabei steht der Kunde immer im Mittelpunkt." Diese Philosophie zieht sich wie ein roter Faden durch AWS' Serviceentwicklung und schafft eine Kultur der Innovation und Zusammenarbeit.

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

Police have been warned that shifting information to the cloud could have "severe detrimental impacts" on people if they aren't careful. Phil Pennington spoke to Corin Dann.

Jon Yoo, CEO of Suger, shares how his company automates the complex & challenging workflows of selling software through cloud marketplaces like AWS.Topics Include:Jon Yoo is co-founder/CEO of Suger.Suger automates B2B marketplace workflows.Handles listing, contracts, offers, billing for marketplaces like AWS.Co-founder previously led Confluent's marketplace enablement product.Confluent had 40-50% revenue through cloud marketplaces.Required 10-20 engineers working solely on marketplace integration.Engineers prefer core product work over marketplace integration.Product/engineering leaders struggle with marketplace deployment requirements.Marketplace customers adopt without marketing, creating unexpected management needs.Version control is challenging for marketplace-deployed products.License management through marketplace creates engineering challenges.Suger helps sell, resell, co-sell through AWS Marketplace.Marketplace integration isn't one-time; requires ongoing maintenance.Business users constantly request marketplace automation features.Suger works with Snowflake, Intel, and AI startups.Data security concerns drive self-hosted AI deployments.AI products increasingly deploy via AMI/container solutions.AI products use usage-based pricing, not seat-based.Usage-based pricing creates complex billing challenges.AI products are tested at unprecedented rates.Two deployment options: vendor cloud or customer cloud.SaaS requires reporting usage to marketplace APIs.Customer-hosted deployment simplifies some billing aspects.Marketplaces need integration with ERP systems.Version control particularly challenging for AI products.Companies need automated updates for marketplace-deployed products.License management includes scaling up/down and expiration handling.Suger aims to integrate with GitHub for automatic updates.Participants:· Jon Yoo – CEO and Co-founder, SugerSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Show DescriptionWhat are the non-US cloud services options, falling off the blogging train and trying to get back on, working on vacation, Chris recaps the Alaskan Folk Festival experience, how often do you go back and clean out JavaScript, and the idea of gilding just one lily on a new project. Listen on Website →Links European Alternatives A lack of frequency increases the pressure to deliver quality Trap (2024) Reviews Polyfilling Concepts ex-Googler · April 10, 2025 Gild Just One Lily Blog Questions Challenge CodePen Development CSS clip-path maker Sponsors

SentinelOne's Ric Smith shares how Purple AI, built on Amazon Bedrock, helps security teams handle increasing threat volumes while facing budget constraints and talent shortages.Topics Include:Introduction of Ric Smith, President of Product Technology and OperationsSentinelOne overview: cybersecurity company focused on endpoint and data securityCustomer range: small businesses to Fortune 10 companiesProducts protect endpoints, cloud environments, and provide enterprise observabilityRic oversees 65% of company operationsPurple AI launched on AWS BedrockPurple AI helps security teams become more efficient and productiveSecurity teams face budget constraints and talent shortagesPurple AI helps teams manage increasing alert volumesTop security challenge: increased malware variants through AIAI enables more convincing spear-phishing attemptsIdentity breaches through social engineering are increasingVoice deepfakes used to bypass security protocolsFuture threats: autonomous AI agents conducting orchestrated attacksSentinelOne helps with productivity and advanced detection capabilitiesSentinelOne primarily deployed on AWS infrastructureUsing SageMaker and Bedrock for AI capabilitiesBest practice: find partners for AI training and deploymentCustomer insight: Purple AI made teams more confident and creativeAI frees security teams from constant anxietySentinelOne's hyper-automation handles cascading remediation tasksMultiple operational modes: fully automated or human-in-the-loopAgent-to-agent interactions expected within 24 monthsCommon misconception: generative AI is infallibleAI helps with "blank slate problem" providing starting frameworksAI content still requires human personalization and reviewAWS partnership provides cost efficiency and governance benefitsParticipants:· Ric Smith – President – Product, Technology and Operations, SentinelOneSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Sam Gantner, Chief Product Officer of Nexthink, reveals how DEX is moving IT from reactive firefighting to proactive problem prevention and transforming enterprise productivity.Topics Include:DEX stands for Digital Employee ExperienceDEX eliminates IT issues preventing employee productivityShifts IT from reactive to proactive problem-solvingEmployees often serve as IT problem alerting systemsBest IT is transparent to employeesDEX solves device sluggishness and slow application issuesNetwork problems consistently appear across organizationsIT teams often lack visibility into employee experiencesMany organizations waste money on unused software licensesDEX Score measures comprehensive employee IT experienceSurveys capture subjective aspects of technology experienceReduction of actual problems differs from ticket reductionNexthink uses lightweight agents on employee devicesBrowser monitoring essential as browsers become application platformsEmployee engagement metrics capture real-time feedbackNexthink rebuilt as cloud-native platform using AWS servicesCompany deploys across 10+ global AWS regions30% of engineering resources dedicated to AI developmentOne customer eliminated 50% of IT ticketsAnother recovered 37,000 productivity hours worth $3M annuallyA third saved $1.3M by identifying unused licensesAI implementation requires dedicated employee trainingGood AI now better than perfect AI neverTechnology adoption is the next DEX frontierDigital dexterity becoming critical for maximizing IT investmentsParticipants:Samuele Gantner – Chief Product Officer, NexthinkSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Linda Ivy-Rosser, Vice President for Forrester, outlines the evolution of business applications and forward thinking predictions of their future.Topics Include:Linda Ivy-Rosser has extensive business applications experience since the 1990s.Business applications historically seen as rigid and lethargic.1990s: On-premise software with limited scale and flexibility.2000s: SaaS emergence with Salesforce, AWS, and Azure.2010s: Mobile-first applications focused on accessibility.Present: AI-driven applications characterize the "AI economy."Purpose of applications evolved from basic to complex capabilities.User expectations grew from friendly interfaces to intelligent systems.Four agreements: AI-infused, composable, cloud-native, ecosystem-driven.AI-infused: 69% consider essential/important in vendor selection.Composability expected to grow in importance with API architectures.Cloud-native: 79% view as foundation for digital transformation.Ecosystem-driven: 68% recognize importance of strategic alliances.Challenges: integration, interoperability, data accessibility, user adoption.43% prioritizing cross-functional workflow and data accessibility capabilities.Tech convergence recycles as horizontal strategy for software companies.Data contextualization crucial for employee adoption of intelligent applications.Explainable AI necessary to build trust in recommendations.Case study: 83% of operators rejected AI recommendations without explanations.Tulip example demonstrated three of four agreements successfully.Software giants using strategic alliances as competitive advantage.AWS offers comprehensive AI infrastructure, platforms, models, and services.Salesforce created ecosystem both within and outside their platform.SaaS marketplaces bridge AI model providers and businesses.Innovation requires partnerships between software vendors and ISVs.Enterprises forming cohorts with startups to solve business challenges.Software supply chain transparency increasingly important.Government sector slower to adopt cloud and AI technologies.Change resistance remains significant challenge for adoption.69% prioritize improving innovation capability over next year.Participants:Linda Ivy-Rosser - Vice President, Enterprise Software, IT services and Digital Transformation Executive Portfolio, ForresterSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

New Relic's Chief Customer Officer Arnaldo (Arnie) Lopez details how their observability platform helps 70,000+ customers monitor cloud performance through AWS infrastructure while introducing AI capabilities that simplify operations.Topics Include:Arnie Lopez is SVP, Chief Customer Officer at New Relic.Oversees pre-sales, post-sales, technical support, and enablement teams.New Relic University offers customer certifications.Founded in 2008, pioneered application performance monitoring (APM).Now offers "Observability 3.0" for full-stack visibility.Prevents interruptions during cloud migration and operations.Serves 70,000+ customers across various industries.16,000 enterprise-level paying customers.Platform consolidates multiple monitoring tools into one solution.Helps detect issues before customers experience performance problems.Market challenge: customers using disparate observability solutions.Reduces TCO by eliminating multiple monitoring tools.Targets VPs, CTOs, CIOs, and sometimes CEOs.Decade-long partnership with AWS.Platform built on largest unified telemetry data cloud.Uses AWS Graviton instances and Amazon EKS.AWS partnership enables innovation and customer trust.Three AI approaches: user assistance, LLM monitoring, faster insights.New Relic AI helps write query language (NURCLs).Monitors LLMs in customer environments.Uses AI to accelerate incident resolution.Lesson learned: should have started AI implementation sooner.Many customers still cautiously adopting AI technologies.Goal: continue growth with AWS partnership.Offers compute-based pricing model.Customers only pay for what they use.Announced one-step AWS monitoring for enterprise scale.Amazon Q Business and New Relic AI integration.Agent-to-agent AI eliminates data silos.Embeds performance insights into business application workflows.Participants:Arnie Lopez – SVP Chief Customer Officer, New RelicSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

PDI Technologies' Steve Antonakakis shares how his company is implementing generative AI across their fuel and retail technology ecosystem through a practical, customer-focused approach using Amazon Bedrock.Topics Include:PDI's COO/CTO discussing generative AI implementationPractical step-by-step approach to AI integrationTesting in real-world settings with customer feedbackAWS Bedrock and Nova models exceeded expectationsEarly adoption phase with huge potentialFuel/retail industry processes many in-person transactionsPDI began in 1983 as ERP providerGrew through 33+ acquisitionsProvides end-to-end fuel industry solutionsOwns GasBuddy and Shell Fuel RewardsProcesses millions of transactions dailyGenerative AI fits into their intelligence plane architectureAWS Bedrock integrates well with existing infrastructureFocus on trusted, controlled, accountable AIProductizing AI features harder than traditional featuresCreated entrepreneurial structure alongside regular product teamsTeam designed to fail fast but stay customer-focusedAI features can access databases without disrupting applicationsCustomers want summarization across different business areasAI provides insights and actionable recommendationsConversational AI replaces traditional reporting limitationsWorking closely with customers to solve problems togetherBeyond prototyping phase, now in implementationAWS Nova provides excellent cost-to-value ratioFocus on measuring customer value over immediate profitabilityRFP use case saved half a million dollarsEarly prompts were massive, now more structuredSetting realistic customer expectations is importantData security approach same as other applicationsTreating AI outputs with same data classification standardsParticipants:Steve Antonakakis – COO & CTO, Retail & Energy, PDI TechnologiesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

AWS partners Braze, Qualtrics, and Tealium share strategies for marketplace success, vertical industry expansion, and generative AI integration that have driven significant business growth. Topics Include:Jason Warren introduces AWS Business Application Partnerships panel.Three key topics: Marketplace Strategy, Vertical Expansion, Gen-AI Integration.Alex Rees of Braze, Matthew Gray of Tealium, and Jason Mann of Qualtrics join discussion.Braze experienced triple-digit percentage growth through AWS Marketplace.Braze dedicating resources specifically to Marketplace procurement.Tealium accelerated deal velocity by listing on Marketplace.Tealium saw broader use case expansion with AWS co-selling.Qualtrics views Marketplace listing as earning a "diploma."Understanding AWS incentives and metrics is crucial.Knowing AWS "love language" helps partnership success.Braze saw transaction volume increase between Q1 and Q4.Aligning with industry verticals unlocked faster growth.Tealium sees bigger deals and faster close times.Tealium moved from transactional to strategic marketplace approach.Private offers work well for complex enterprise agreements.Qualtrics measures AWS partnership through "influence, intel, introductions."AWS relationships help navigate IT and procurement challenges.Propensity-to-buy data guides AWS engagement strategy.Marketplace strategy evolving with new capabilities and international expansion.Brazilian marketplace distribution reduces currency and tax challenges.Partnership evolution: sell first, then market, then co-innovate.Braze penetrated airline market through AWS Travel & Hospitality.RFP introductions show tangible partnership benefits.Tealium partnering with Virgin Australia and United Airlines.MUFG bank case study shows joint AWS-Tealium success.Qualtrics won awards despite not completing formal competencies.Focus on fewer verticals yields better results.Gen AI brings both opportunities and regulatory concerns.First-party data rights critical for AI implementation.AWS Bedrock integration provides security and prescriptive solutions.Participants:Alex Rees – Director Tech Partnerships, BrazeJason Mann – Global AWS Alliance Lead, QualtricsMatthew Gray - SVP, Partnerships & Alliances, TealiumJason Warren - Head of Business Applications ISV Partnerships (Americas), AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Yashodha Bhavnani, Head of AI at Box, reveals Box's vision for intelligent content management that transforms unstructured data into actionable insights. Topics Include:Yashodha Bhavnani leads AI products at Box.Box's mission: power how the world works together.Box serves customers globally across various industries.Works with majority of Fortune 500 companies.AI agents will join workforce for repetitive tasks.Workflows like hiring will become easily automated with AI.Content will work for users, not vice versa.Customers demand better experiences with generative AI.Box calls this shift "intelligent content management."90% of enterprise content is unstructured data.AI thrives on unstructured data.Current content systems are unproductive and unsecured.AI can generate insights from scattered company knowledge.AI extracts metadata automatically from documents like contracts.Automated workflows triggered by AI-extracted data.Box provides enterprise-grade AI connected to your content.AI follows same permissions as the content itself.Customer data never used to train AI models.AI helps classify sensitive data to prevent leaks.Box offers choice of AI models to customers.AI is seamlessly connected with customer content.Administrators control AI deployment across their organization.Partnership with AWS Bedrock brings frontier models to Box.Box supports customers using their own custom models.Box preparing for AI agents to join workforce.Introduced "AI Units" for flexible pricing.Basic AI included free with Business Plus tiers.Both horizontal and vertical multi-agent architectures planned.Working toward agent-to-agent communication protocols.Participants:Yashodha Bhavnani - VP of Product Management, AI products, BoxSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Tech leaders from RingCentral, Zoom and AWS discuss how generative AI is transforming business communications while balancing challenges & regulatory concerns in this rapidly evolving landscape.Topics Include:Introduction of panel on generative AI's impact on businesses.How to transition AI from prototypes to production.Understanding value creation for customers through AI.Introduction of Khurram Tajji from RingCentral.Introduction of Brendan Ittleson from Zoom.How generative AI fits into Zoom's product offerings.Zoom's AI companion available to all paid customers.Zoom's federated approach to AI model selection.RingCentral's new AI Receptionist (AIR) launch.How AIR routes calls using generative AI capabilities.AI improving customer experience through sentiment analysis.The disproportionate value of real-time AI assistance.Economics of delivering real-time AI capabilities.Real-time AI compliance monitoring in banking.Value of preventing regulatory fines through AI.Voice cloning detection through AI security.Democratizing AI access across Zoom's platform.Monetizing specialized AI solutions for business value.Challenges in taking AI prototypes to production.Importance of selecting the right AI models.Privacy considerations when training AI models.Maintaining quality without using customer data for training.Co-innovation with customers during product development.Scaling challenges for AI businesses.Case study of AI in legal case assessment.Ensuring unit economics work before scaling AI applications.Zoom's approach to scaling AI across products.Importance of centralizing but federating AI capabilities.Breaking down data silos for effective AI context.Navigating evolving regulations around AI.EU AI Act restrictions on emotion inference.Balancing regulations with customer experience needs.Future of AI agents interacting with other agents.How AI enhances human connection by handling routine tasks.Impact of AI on company valuations and M&A activity.Participants:Khurram Tajji – Group CMO & Partnerships, RingCentralBrendan Ittleson – Chief Ecosystem Officer, ZoomSirish Chandrasekaran – VP of Analytics, AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

CEO Joe Kim shares how Sumo Logic has implemented generative AI to democratize data analytics, leveraging AWS Bedrock's multi-agent capabilities to dramatically improve accuracy.Topics Include:Introduction of Joe Kim, CEO of Sumo Logic.Question: Overview of Sumo Logic's products and customers?Sumo Logic specializes in observability and security markets.Company leverages industry-leading log management and analytics capabilities.Question: How has generative AI entered this space?Kim's background is in product, strategy and engineering.Non-experts struggle to extract value from complex telemetry data.Generative AI provides easier interface for interacting with data.Question: How do you measure success of AI initiatives?Focus on customer problems, not retrofitting AI everywhere.Launched "Mo, the co-pilot" at AWS re:Invent.Mo enables natural language queries of complex data.Mo suggests visualizations and follow-up questions during incidents.Question: What challenges did you face implementing AI?Team knew competitors would eventually implement similar capabilities.Single model approach topped out at 80% accuracy.Multi-agent approach with AWS Bedrock achieved mid-90% accuracy.Bedrock offered security benefits and multiple model capabilities.Question: How was working with the AWS team?Partnered with Bedrock team and tribe.ai for implementation.Partners helped avoid pitfalls from thousands of prior projects.Question: What advice for other software leaders?Don't implement AI just to satisfy board pressure.Identify problems without mentioning generative AI first.Innovation should come from listening to customers.Question: Future plans with AWS partnership?Moving toward automated remediation beyond just analysis.Question: Has Sumo Logic monetized generative AI?Changed pricing from data ingestion to data usage.New model encourages more data sharing without cost barriers.Participants:Joe Kim – Chief Executive Officer, Sumo LogicSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

CTO Arun Kumar discusses how Socure leverages AWS and generative AI to collect billions of data points each day in order to combat sophisticated online fraud at scale.Topics Include:Introduction of Arun Kumar, CTO of SocureWhat does Socure specialize in?KYC and anti-money laundering checksMission: eliminate 100% fraud on the internetFraud has increased since COVIDSocure blocks fraud at entry pointWorks with top banks and government agenciesCTO responsibilities include product and engineeringFocus on increasing efficiency through technologyTwo goals: internal efficiency and combating fraudCountering tools like FraudGPT on dark webMeasuring success through reduced human capital needsFraud investigations reduced from hours to minutesImproved success rates in uncovering fraud ringsDetecting multi-hop connections in fraud networksQuestion: Who's winning - fraudsters or AI?It's a constant "cat and mouse game"Creating a fraud "red team" similar to cybersecurityPartnership details with AWSAmazon Bedrock provides multiple LLM optionsBuilding world's largest identity graph with NeptuneReal-time suspicious activity detectionBlocking account takeovers through phone number changesSuccess story: detecting deepfake across 3,000 IDsCollecting hundreds of data points per identityChallenges: adding selfie checks and liveness detectionFuture strategy: 10x-100x performance improvementsCreating second and third-order intelligence signalsInternal efficiency applications of generative AIAI-powered sales tools and legal document reviewParticipants:Arun Kumar – Chief Technical Officer, SocureSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Oron Noah of Wiz outlines how organizations evolve their security practices to address new vulnerabilities in AI systems through improved visibility, risk assessment, and pipeline protection.Topics Include:Introduction of Oron Noah, VP at Wiz.Wiz: largest private service security company.$1.9 billion raised from leading VCs.45% of Fortune 100 use Wiz.Wiz scans 60+ Amazon native services.Cloud introduced visibility challenges.Cloud created risk prioritization issues.Security ownership shifted from CISOs to everyone.Wiz offers a unified security platform.Three pillars: Wiz Cloud, Code, and Defend.Wiz democratizes cloud security for all teams.Security Graph uses Amazon Neptune.Wiz has 150+ available integrations.Risk analysis connects to cloud environments.Wiz identifies critical attack paths.AI assists in security graph searches.AI helps with remediation scripts.AI introduces new security challenges.70% of customers already use AI services.AI security requires visibility, risk assessment, pipeline protection.AI introduces risks like prompt injection.Data poisoning can manipulate AI results.Model vulnerabilities create attack vectors.AI Security Posture Management (ASPM) introduced.Four key questions for AI security.AI pipelines resemble traditional cloud infrastructure.Wiz researchers found real AI security vulnerabilities.Wiz AI ASPM provides agentless visibility.Supports major AI services (AWS, OpenAI, etc.).Built-in rules detect AI service misconfigurations.Participants:Oron Noah – VP Product Extensibility & Partnerships, WizSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Ruslan Kusov of SoftServe presents how their Application Modernization Framework accelerates ISV modernization, assesses legacy code, and delivers modernized applications through platform engineering principles.Topics Include:Introduction of Ruslan Kusov, Cloud CoE Director at SoftServeSoftServe builds code for top ISVsSuccess case: accelerated security ISV modernization by six monthsHealthcare tech company assessment: 1.6 million code lines in weeksBusiness need: product development acceleration for competitive advantageBusiness need: intelligent operations automationBusiness need: ecosystem integration and "sizeification" to cloudBusiness need: secure and compliant solutionsBusiness need: customer-centric platforms with personalized experiencesBusiness need: AWS marketplace integrationDistinguishing intentional from unintentional complexityPlatform engineering concept introductionSelf-service internal platforms for standardizationApplying platform engineering across teams (GenAI, CSO, etc.)No one-size-fits-all approach to modernizationSAMP/SEMP framework introductionCore components: EKS, ECS, or LambdaModular structure with interchangeable componentsCase study: ISV switching from hardware to software productsFour-week MVP instead of planned ten weeksSix-month full modernization versus planned twelve monthsAssessment phase importance for business case developmentCalculating cost of doing nothing during modernization decisionsHealthcare customer case: 1.6 million code lines assessedBenefits: platform deployment in under 20 minutesBenefits: 5x reduced assessment timeBenefits: 30% lower infrastructure costsBenefits: 20% increased development productivity with GenAIIntegration with Amazon Q for developer productivityClosing Q&A on security modernization and ongoing managementParticipants:Ruslan Kusov – Cloud CoE Director, SoftserveSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Send us a textIn this conversation, Amit Saar shares his journey from software engineering at Microsoft to founding OpenOps. He focuses on the challenges and solutions in FinOps. He highlights the need for automation, accountability, and balancing innovation with governance in managing cloud costs. Amit points out the fatigue that engineering managers face due to overwhelming demands. He stresses the need for better tools and practices to streamline FinOps processes. The discussion also covers the challenges of automating FinOps, the role of no-code platforms, and the importance of community engagement through open sourcing.Topics include the fragmentation of systems in enterprises and the advantages of a no-code approach for automation. Amit discusses monetization strategies for sustaining an open-source model. The conversation wraps up with practical advice on getting started with OpenOps.

Richard Sonnenblick and Lee Rehwinkel of Planview discuss their transition to Amazon Bedrock for a multi-agent AI system while sharing valuable implementation and user experience lessons.Topics Include:Introduction to Planview's 18-month journey creating an AI co-pilot.Planview builds solutions for strategic portfolio and agile planning.5,000+ companies with millions of users leverage Planview solutions.Co-pilot vision: AI assistant sidebar across multiple applications.RAG used to ingest customer success center documents.Tracking product data, screens, charts, and tables.Incorporating industry best practices and methodologies.Can ingest customer-specific documents to understand company terminology.Key benefit: Making every user a power user.Key benefit: Saving time on tedious and redundant tasks.Key benefit: De-risking initiatives through early risk identification.Cost challenges: GPT-4 initially cost $60 per million tokens.Cost now only $1.20 per million tokens.Market evolution: AI features becoming table stakes.Performance rubrics created for different personas and applications.Multi-agent architecture provides technical and organizational scalability.Initial implementation used Azure and GPT-4 models.Migration to AWS Bedrock brought model choice benefits.Bedrock allowed optimization across cost, benchmarking, and speed dimensions.Added AWS guardrails and knowledge base capabilities.Lesson #1: Users hate typing; provide clickable options.Lesson #2: Users don't like waiting; optimize for speed.Lesson #3: Users take time to trust AI; provide auditable answers.Question about role-based access control and permissions.Co-pilot uses user authentication to access application data.Question about subscription pricing for AI features.Need to educate customers about AI's value proposition.Question about reasoning modes and timing expectations.Showing users the work process makes waiting more tolerable.Participants:Richard Sonnenblick - Chief Data Scientist, PlanviewLee Rehwinkel – Principal Data Scientist, PlanviewSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Executives from DataRobot, LaunchDarkly and ServiceNow share strategies, actions and recommendations to achieve profitable growth in today's competitive SaaS landscape.Topics Include:Introduction of panelists from DataRobot, LaunchDarkly & ServiceNowServiceNow's journey from service management to workflow orchestration platform.DataRobot's evolution as comprehensive AI platform before AI boom.LaunchDarkly's focus on helping teams decouple release from deploy.Rule of 40: balancing revenue growth and profit margin.ServiceNow exceeding standards with Rule of 50-60 approach.Vertical markets expansion as key strategy for sustainable growth.AWS Marketplace enabling largest-ever deal for ServiceNow.R&D investment effectiveness through experimentation and feature management.Developer efficiency as driver of profitable SaaS growth.Competition through data-driven decisions rather than guesswork.Speed and iteration frequency determining competitive advantage in SaaS.Balancing innovation with early customer adoption for AI products.Product managers should adopt revenue goals and variable compensation.Product-led growth versus sales-led motion: strategies and frictions.Sales-led growth optimized for enterprise; PLG for practitioners.Marketplace-led growth as complementary go-to-market strategy.Customer acquisition cost (CAC) as primary driver of margin erosion.Pricing and packaging philosophy: platform versus consumption models.Value realization must precede pricing and packaging discussions.Good-better-best pricing model used by LaunchDarkly.Security as foundation of trust in software delivery.LaunchDarkly's Guardian Edition for high-risk software release scenarios.Security for regulated industries through public cloud partnerships.GenAI security: benchmarks, tests, and governance to prevent issues.M&A strategy: ServiceNow's 33 acquisitions for features, not revenue.Replatforming acquisitions into core architecture for consistent experience.Balancing technology integration with people aspects during acquisitions.Trends in buying groups: AI budgets and tool consolidation.Implementing revenue goals in product teams for new initiatives.Participants:Prajakta Damle – Head of Product / SVP of Product, DataRobotClaire Vo – Chief Product & Technology Officer, LaunchDarklyAnshuman Didwania – VP/GM, Hyperscalers Business Group, ServiceNowAkshay Patel – Global SaaS Strategist, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

In this episode, Anurag Goel, founder and CEO of Render, explores the challenges of competing with major cloud providers, the evolution of cloud infrastructure, and Render's mission to simplify DevOps complexities. He shares insights from his journey, including his early programming experiences in India and the importance of fostering a supportive environment for success. Anurag reflects on his time at various companies, including startups and his pivotal role in Stripe's early development. He also emphasizes the significance of developer relations and the need for flexible product offerings to accommodate diverse customer needs.00:00 Introduction00:30 What is Anurag Doing Today?07:30 Cloud Infrastructure and Render20:00 First Memory of a Computer22:00 Education in India34:00 Early Career and Growth44:30 The Rise of Stripe1:00:00 Building Render1:11:30 The Importance of Pricing in Cloud Services1:14:15 Streamlined Deployment and Ops 1:27:25 Contact InfoConnect with Anurag: Email: anurag@render.comLinkedin: https://www.linkedin.com/in/anuragoel/X: https://x.com/anuraggoelMentioned in this Episode:Render: https://render.com/Stripe: https://stripe.com/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

Ryan Steeb shares DTEX Systems' strategic approach to implementing generative AI with AWS Bedrock, reducing risk while focusing on meaningful customer outcomes.Topics Include:Introduction of Ryan Steeb, Head of Product at DTEX Systems Explanation of insider risk challenges Three categories of insider risk (malicious, negligent, compromised) How DTEX Systems is using generative AI Collection of proprietary data to map human behavior on networks Three key areas leveraging Gen AI: customer value, services acceleration, operations How partnership with AWS has impacted DTEX's AI capabilities Value of AWS expertise for discovering AI possibilities AWS Bedrock providing flexibility in AI implementation Collaboration on unique applications beyond conventional chat assistants AWS OpenSearch as a foundational component Creating invisible AI workflows that simplify user experiences The path to monetization for generative AI Three approaches: direct pricing, service efficiency, operational improvements Second and third-order effects (retention, NPS, reduced churn) How DTEX prioritizes Gen AI projects Starting with customer problems vs. finding problems for AI solutions Business impact prioritization framework Technical capability considerations Benefits of moving AI solutions to AWS Bedrock Fostering a culture of experimentation and innovation Adopting Amazon's "working backwards" philosophy Balancing customer-driven evolution with original innovation Time machine advice: start experimenting with Gen AI earlier Importance of leveraging peer groups and experts Future outlook: concerns about innovation outpacing risk mitigation Security implications of Gen AI adoption Participation in the OpenSearch Linux Foundation initiative Final thoughts on the DTEX-AWS partnershipParticipants:Ryan Steeb – Head of Product, DTEX SystemsSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

From cost management to practical implementation, Sage's Amaya Souarez shares invaluable insights on building AI-powered business tools that deliver measurable value to customers.Topics Include:Amaya Souarez introduced as EVP Cloud Services at SageOverview of Sage: offers accounting, finance, HR and payroll tech for small businessesCompany emphasizes human values alongside technology developmentAmaya oversees core cloud services and operations across 200+ productsSage Co-Pilot announced as new AI assistant – helping automate invoicing and cash flow managementCommon misconceptions with Generative AIAI solutions aren't always solution to every problemCompares AI hype to previous blockchain enthusiasmEmphasizes starting with clear use cases before implementationDifference between task-based and reporting-based use casesPartnering with AWS to build accounting-specific language modelsDifferent accounting terminology varies by countryUsing AWS Bedrock and Lex for a domain-specific language model developmentMultiple AI models may be needed for single solutionCustomer feedback drives project funding decisionsAI development integrated into regular product roadmapsFocus on reducing cost per user for AI featuresSuccess story: reducing 20-hour task to 5 minutesTracks AI usage costs per customer interactionEarly Gen AI hype caused confusion in the marketPlans to make domain-specific models available via APIWill offer language models on AWS MarketplaceEmphasizes practical AI application over blind implementationParticipants:Amaya Souarez - EVP Cloud Services and Operations, SageSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Box's Chief Product Officer Diego Dugatkin discusses how the enterprise content management platform is leveraging AI through partnerships with AWS Bedrock and continuing to innovate for their customers.Topics Include:Introduction of Diego Dugatkin as Box's Chief Product OfficerBox provides cloud content management for enterprise customersFocus on Intelligent Content ManagementBox serves 115,000 customers including 70% of Fortune 500Company manages approximately one exabyte of enterprise dataBox expanding product portfolio to offer more customer valuePartnership with AWS Bedrock for AI implementation announcedCollaboration with Anthropic for LLM technology integrationBox offers neutral approach letting customers choose preferred LLMsCommon misconceptions about generative AI capabilities and limitationsGenerative AI helps accelerate contract analysis and classification processesBox Hubs enables content curation and multi-document queriesSuccess measured through hub creation and query accuracy metricsLong-term AWS partnership continues expanding with new technologiesAmazon is major Box customer while Box uses AWSAPI integration important for third-party developer implementationsAI development exceeding speed expectations in efficiency improvementsChallenges remain in defining AI agent roles and capabilitiesContent strategy crucial for deploying intelligent content managementCompanies must prepare for AI agents in workplaceFlexibility in tech stack recommended over single-vendor approachNext 12-24 months will see accelerated industry changesBox maintains innovative culture through intrapreneurship approachCompany regularly hosts internal and external hackathonsFocus on maintaining integrated platform while acquiring companiesPartnership between Box and AWS continues growing strongerParticipants:Diego Dugatkin – Chief Product Officer, BoxSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Through case studies of Graviton implementation and GPU integration, Justin Fitzhugh, Snowflake's VP of Engineering, demonstrates how cloud-native architecture combined with strategic partnerships can drive technical innovation and build business value.Topics Include:Cloud engineering and AWS partnershipTraditional databases had fixed hardware ratios for compute/storageSnowflake built cloud-native with separated storage and computeCompany has never owned physical infrastructureApplications must be cloud-optimized to leverage elastic scalingSnowflake uses credit system for customer billingCredits loosely based on compute resources providedCompany maintains cloud-agnostic approach across providersInitially aimed for identical pricing across cloud providersNow allows price variation while maintaining consistent experienceConsumption-based revenue model ties to actual usagePerformance improvements can actually decrease revenueCompany tracked ARM's move to data centersInitially skeptical of Graviton performance claimsPorting to ARM required complete pipeline reconstructionDiscovered floating point rounding differences between architecturesAmazon partnership crucial for library optimizationGraviton migration took two years instead of oneAchieved 25% performance gain with 20% cost reductionTeam requested thousands of GPUs within two monthsGPU infrastructure was new territory for SnowflakeNeeded flexible pricing for uncertain future needsSigned three to five-year contracts with flexibilityTeam pivoted from building to fine-tuning modelsPartnership allowed adaptation to business changesEmphasizes importance of leveraging provider expertiseRecommends early engagement with cloud providersBuild relationships before infrastructure needs ariseMaintain personal connections with provider executivesParticipants:Justin Fitzhugh – VP of Engineering, SnowflakeSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

In this episode, I provide an update on the UK regulator investigation into the cloud services market, I talk an increase of Windows 11 adoption, I discuss a helpful script to combat a vulnerability exploit and much more! Reference Links: https://www.rorymon.com/blog/report-on-cloud-service-market-win11-on-the-rise-dell-orders-return-to-the-office/

In this AWS panel discussion, Naveen Rao, VP of AI of Databricks and Vijay Karunamurthy, Field CTO of Scale AI share practical insights on implementing generative AI in enterprises, leveraging private data effectively, and building reliable production systems.Topics Include:Sherry Marcus introduces panel discussion on generative AI adoptionScale AI helps make AI models more reliableDatabricks focuses on customizing AI with company dataCompanies often stressed about where to start with AIBoard-level pressure driving many enterprise AI initiativesStart by defining specific goals and success metricsBuild evaluations first before implementing AI solutionsAvoid rushing into demos without proper planningEnterprise data vastly exceeds public training data volumeCustomer support histories valuable for AI trainingModels learning to anticipate customer follow-up questionsProduction concerns: cost, latency, and accuracy trade-offsGood telemetry crucial for diagnosing AI application issuesSpeed matters more for prose, accuracy for legal documentsCost becomes important once systems begin scaling upOrganizations struggle with poor quality existing dataPrivacy crucial when leveraging internal business dataRole-based access control essential for regulated industriesAI can help locate relevant data across legacy systemsModels need organizational awareness to find data effectivelyPrivate data behind firewalls most valuable for AICustomization gives competitive advantage over generic modelsCurrent AI models primarily do flexible data recallNext few years: focus on deriving business valueFuture developments in causal inference expected post-5 yearsComplex multi-agent systems becoming more importantScale AI developing "humanity's last exam" evaluation metricDiscussion of responsibility and liability in AI decisionsCompanies must stand behind their AI system outputsExisting compliance frameworks can be adapted for AIParticipants:Naveen Rao – VP of AI, DatabricksVijay Karunamurthy – Field CTO, Scale AISherry Marcus Ph.D. - Director, Applied Science, AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Plus, Google fights $4.55 billion EU antitrust fine over Android. And, tech stocks rebound after yesterday's DeepSeek rout. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Suresh Vasudevan, CEO of Sysdig, discusses the evolving challenges of cloud security incident response and the need for new approaches to mitigate organizational risk.Topics Include:Cybersecurity regulations mandate incident response reporting.Challenges of cloud breach detection and response.Complex cloud attack patterns: reconnaissance, lateral movement, exploit.Rapid exploitation - minutes vs. days for on-prem.Importance of runtime, identity, and control plane monitoring.Limitations of EDR and SIEM tools for cloud.Coordinated incident response across security, DevOps, executives.Criticality of pre-defined incident response plans.Increased CISO personal liability risk and mitigation.Documenting security team's diligence to demonstrate due care.Establishing strong partnerships with legal and audit teams.Covering defensive steps in internal communications.Sysdig's cloud-native security approach and Falco project.Balancing prevention, detection, and response capabilities.Integrating security tooling with customer workflows and SOCs.Providing 24/7 monitoring and rapid response services.Correlating workload, identity, and control plane activities.Detecting unusual reconnaissance and lateral movement behaviors.Daisy-chaining events to identify potential compromise chains.Tracking historical identity activity patterns for anomaly detection.Aligning security with business impact assessment and reporting.Adapting SOC team skills for cloud-native environments.Resource and disruption cost concerns for cloud agents.Importance of "do no harm" philosophy for response.Enhancing existing security data sources with cloud context.Challenges of post-incident forensics vs. real-time response.Bridging security, DevOps, and executive domains.Establishing pre-approved incident response stakeholder roles.Maintaining documentation to demonstrate proper investigation.Evolving CISO role and personal liability considerations.Proactive management of cyber risk at board level.Developing strong general counsel and audit relationships.Transparency in internal communications to avoid discovery risks.Security teams as business partners, not just technicians.Sysdig's cloud security expertise and open-source contributions.Participants:· Suresh Vasudevan – CEO, SysdigSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

From hard-coded credentials to boardroom buy-in, join four tech security leaders from Clumio, Mongo DB, Symphony and AWS, as they unpack how building the right security culture can be your organization's strongest defense against cyber threats.Topics Include:Security culture is crucial for managing organizational cyber riskGood culture enables quick decision-making without constant expert consultationMany security incidents occur from well-meaning people getting dupedPanel includes leaders from AWS, Symphony, MongoDB, and ClumioMeasuring security culture requires both quantitative and qualitative metricsBoard-level engagement indicates organizational security culture maturitySelf-reporting of security incidents shows positive cultural developmentSecurity committees' participation helps measure cultural engagementHard-coded credentials remain persistent problem across organizationsInternal audits and risk committees strengthen security governancePublic security incidents change board conversations about prioritiesLeadership vulnerability and transparency help build trustBeing pragmatic beats emotional responses in security leadershipSecurity programs should align with business revenue goalsCustomer security requirements drive program improvementsExcessive security questionnaires drain resources from actual securitySecurity culture started as exclusionary, evolved toward collaborationFinancial institutions often create unnecessary compliance burdenEarly security involvement in product development prevents delaysSecurity teams must match development team speedTrust between security and development teams enables efficiencySmall security teams can support large enterprise requirementsVendor partnerships help scale security capabilitiesProcess changes work better than adding security toolsSecurity leaders need deep business knowledgeTechnical depth and breadth remain essential skillsEvangelism capability critical for security leadership successInfluencing without authority key for security effectivenessCrisis moments create opportunities for security improvementSocializing between security and development teams builds trustDEF CON attendance helps developers understand security perspectiveBug bounty programs provide continuous security feedbackRegular informal meetings between teams improve collaborationBuilding personal relationships improves security outcomesModern security leadership requires balance of IQ and EQParticipants:Jacob Berry – Head of Information Security, ClumioGeorge Gerchow – Interim CISO, Head of Trust, Mongo DBBrad Levy – Chief Executive Officer, SymphonyBrendan Staveley – Global Sales Leader, Security Services, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

AWS executive Giancarlo Casella explains how organizations can navigate global privacy regulations and achieve compliant international expansion using AWS's privacy reference architecture.Topics Include:Welcome to executive forum on security and Gen AIIntroduction of Giancarlo Casella from AWS Security Assurance ServicesAWS helps organizations with compliance and audit readinessGlobal expansion requires understanding local privacy lawsGermany and France interpret GDPR differentlyGermany has Federal Data Protection Act (BDSG)France focuses on consumer privacy through CENILRisk of non-compliance includes fines and reputation damagePrivacy laws existed in only 10 countries in 2000EU Privacy Directive of 1990 was prominentBy 2010, forty countries had privacy lawsHIPAA and GLBA introduced in United StatesNow over 150 countries have privacy regulations75% of world population under privacy laws soonRegulations are vague and open to interpretationGDPR example: encryption requirements lack specificityNeed right stakeholders for privacy complianceLegal team must lead privacy interpretationEngineering implements technical privacy aspectsRisk and compliance teams coordinate evidence gatheringData Protection Officer oversees entire programCIO, CTO, CISO alignment creates strong foundationSecurity transforms from bureaucratic to revenue enablerAWS develops cloud-specific privacy reference architectureIndustry standards provide guidance frameworksAWS privacy reference architecture focuses on cloud specificsData minimization and individual autonomy are keyCase study: Middle Eastern AI company expands to CanadaCompany used CCTV at gas stationsCreated privacy baseline and roadmapData flow documentation essential for complianceContinuous compliance strategy helps enable successAligning stakeholders across different organizational linesFuture of US federal privacy regulation discussedDiscussion of responsible AI usage requirementsParticipants:Giancarlo Casella - Head of Business Development and Growth Strategies, AWS Security Assurance ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

In der heutigen Folge nehmen wir euch mit auf eine Reise in die dynamische Welt des Cloud Computings, speziell zugeschnitten auf die Versicherungsindustrie. Eure Hosts Dominik Badarne und Herbert Jansky freuen sich, heute gleich zwei hochkarätige Experten begrüßen zu dürfen: Christian Richter und Fabian Lober.Christian Richter betont die Flexibilität und Skalierbarkeit von AWS, das keine Lizenzen oder Produkte verkauft, sondern per-Use-Services anbietet. Seit 2006 wurden die Preise bereits über 130 Mal gesenkt, um diese Vorteile an die Kunden weiterzugeben. Fabian Lober hebt die Bedeutung der Zusammenarbeit zwischen verschiedenen Anbietern hervor und spricht über die einzigartigen Services und Konferenzen von AWS, wie die innovative re:Invent.In dieser Episode diskutieren wir die Herausforderungen und Chancen der Cloud-Transformation, die in der Versicherungsindustrie besonders relevant sind. Christian und Fabian teilen ihre Expertise über die Rolle der Künstlichen Intelligenz und wie AWS eigene Chips entwickelt, um kosteneffiziente Trainings für große Sprachmodelle zu ermöglichen. Wir erfahren, warum rund 61% der Versicherungsunternehmen die Cloud nutzen und wie dies die Branche transformiert.Außerdem werfen wir einen Blick auf die neueste Entwicklung bei Amazon: die Amazon Nova Familie von Large Language Models und wie diese Modelle die Effizienz und Genauigkeit von KI-Anwendungen verbessern. Wir werden auch die Performance von Matt Garman, einem AWS-Manager, erörtern und die Keynote-Highlights der AWS re:Invent-Konferenz sowie deren Bedeutung für die Cloud-Community analysieren.Freut euch auf spannende Einblicke, technische Tiefe und die neuesten Entwicklungen im Cloud-Bereich. Bleibt dran, es lohnt sich!Schreibt uns gerne eine Nachricht!Folge uns auf unserer LinkedIn Unternehmensseite für weitere spannende Updates.Unsere Website: https://www.insurancemondaypodcast.de/Du möchtest Gast beim Insurance Monday Podcast sein? Schreibe uns unter info@insurancemondaypodcast.de und wir melden uns umgehend bei Dir.Dieser Podcast wird von dean productions produziert.Vielen Dank, dass Du unseren Podcast hörst!

Communications networks underpin the services and applications that are critical to consumer well-being and business growth, which has amplified the impact of network outages. In this episode, Sergy Mummert, SVP, Sales Global Cloud & Strategic Partnerships at SES Networks, joins us to discuss how advances in satellite technology are enabling a more resilient network fabric.

On this week's show we discuss Braden's YouTubeTV price increase as well as a discussion on how to reboot your internet modem when it locks up even if you aren't home. One of our listeners, Josh in Huntsville AL, shares his experience dealing with warranty service on a large screen TV. We also read your emails and take a look at the week's news. News: LG stops making Blu-ray players, marking the end of an era Venu Sports backers lose motion to dismiss case Amazon's 2nd & 3rd Gen Echo Buds Are Dirt Cheap Try this easy trick to delay your upcoming YouTube TV price increase Other: Pioneer CS-707 | hifi-wiki.com Contact House of Sound NYC for Audio Tours, Events & Partnerships YouTube TV price update Braden received the following email from YouTubeTV raising his TV service costs by $10: YouTube TV has always worked hard to offer you the content you love, delivered the way you want, with features that make it easy to enjoy the best of live TV. To keep up with the rising cost of content and the investments we make in the quality of our service, we're updating our monthly price from $72.99/month to $82.99/month starting January 13, 2025. We don't make these decisions lightly, and we realize this has an impact on our members. We are committed to bringing you features that are changing the way we watch live TV, like unlimited DVR storage and multiview*, and supporting YouTube TV's breadth of content and vast on-demand library of movies and shows. The price of your YouTube TV Base Plan membership will change in your first billing cycle on or after January 13, 2025, and will be charged to your payment method on file going forward. To view your current plan, go to Settings > Membership for updated information. If you are currently on a trial or promotional price for the Base Plan, that promotion is still honored and unchanged. We hope YouTube TV continues to be your service of choice, but we understand that some of our members may want to cancel their subscriptions. As always, family managers have the ability to pause or cancel anytime. You can find more information in our Help Center. With lots of exciting shows and live events ahead in the new year, we'll continue to strive to deliver the best of TV, all in one place. Thank you for being a loyal YouTube TV member. Sincerely, The YouTube TV team Cable Internet Going Down While Away On a recent trip Ara's cable modem locked up and would not come back online until he returned home and cycled power. So how do you prevent this from happening again? Ara takes a look at a solution called Keep Connect, a $50 device that monitors your internet connection and reboots the system when connection to the internet is lost.  Features: Automatic Router Rebooter / Reset - Stop manually restarting your router! Automate the process to ensure highly reliable internet connection uptime  Constantly Monitors Router and/or Modem Internet Health. Keep Connect provides 24/7/365 protection to ensure that your smart home and connected devices are always online and available.  Notifications - Free Texts or Emails from Keep Connect notifying you of detected eventsif you choose to enter your phone number/email. You may also choose No Notifications.  Perfect for Smart Home Reliability - Schedule Periodic Resets to keep your connection fresh and fast.  Premium Cloud Services App Available (iOS App Store and Google Play Store) - Our Premium Keep Connect Cloud Services platform allows using our Online/Mobile App to monitor many locations in one place as well. Cloud Services allows remote management of devices at all locations as well as heartbeat monitoring of your Keep Connects to notify you in the event of an ISP internet outage at one of your sites. Large TV Warranty Experience I've meant to write about my TCL TV experience for quite some time.  What can I say, life is just busy.  I have two more kids than Braden! When I heard a couple of weeks ago a question about warranty experiences for large TVs, I thought I had put off writing this story long enough. After listening to Braden hype up TCL TVs for at least a couple of years, as well as reading many reviews for TVs and watching the developing technology trends at the time, in September 2020 I ordered a TCL 75R635, a so-called 6-series Roku 4K QLED 75-inch TV with a respectable 240-zone backlight array.  The TV had been announced earlier in the year, perhaps at CEDIA or CES and I was ready to replace my 10-year old Panasonic plasma HD TV with this TCL model.  I watched over the next many months for the TV to become available.  While I hoped for a sale, I also knew from watching similar TVs that the stock tended to get bought out pretty quickly.  Amazon finally had the TV available to order in September 2020 and I ordered immediately for a retail price of $1399 plus tax.  I received it on October 3. The TV worked great for about 6 months.  In late March 2021, the screen suddenly and mysteriously slowly faded to a sort of dark backlit state in the middle of whatever my wife was watching.  A backlight was on, but no picture elements were displayed.  You could still hear the TV making sounds associated with navigating the menu when pushing buttons on the remote.  I started a warranty claim March 31 nothing I was well within the 1-year warranty period.  I don't recall exact timing, but a service tech was scheduled to attempt to repair the TV within 10 days.  The day he was supposed to come, he called me beforehand and said he'd already been trying to repair the same model TV for another purchaser.  He asked me a couple of questions about what the TV was doing.  His conclusion over the phone and based on trying to work on the same model of TV was that it was not repairable and he would elevate the case to sending a replacement. Here is where the process got a little frustrating.  TCL honored the claim.  However, the process became surprisingly slow.  As I said, I don't recall exactly when the service tech came, but if it was Day 10, that would have been April 9.  TCL told me on April 23 the TV was finally being shipped.  It was considered a freight shipment, so TCL handed me off to Pilot Deliveries from that point forward.  I had to contact Pilot to arrange delivery if you can believe that!  I also had to coordinate with Pilot to pick up the defective unit.  I did all of this.  By May 3, I still had not received the replacement.  It took another call to TCL at this point to investigate the problem because tracking showed it bouncing all over the map.  I think it came from China.  Landed in California, then I think it made it to Nashville, then Chattanooga, back to Nashville, and hopped over me in Huntsville to wind up in Mobile, Alabama. By this point, Pilot seemed to finally acknowledge they weren't handling this delivery well.  It did get flown one last time to Huntsville.  Then they sent the TV on an unmarked box truck (No "Pilot" markings) with a kid who was maybe 20 to deliver the TV to my home.  The TV was the only thing on the truck.  And, it had fallen over which I suspected when I came around to the back of the truck and saw the driver just finishing standing the box back up.  The driver admitted this was the case when I asked.  But, jumping to the end, the TV has always worked fine.  I had to help get the very large box in the house because they should have sent two people to handle this delivery.  This was May 6 when I finally took possession.  So, a little over 5-week process.  I never expected it to take that long. The rumors amongst forums at the time were that because this was most likely a first production run model (remember, I bought it as soon as it was available), there were manufacturing defects.  And the failure itself was likely because TCL was wiring the backlight array in-series, so if one light goes out, they all stop working.  I think the “dark light” that we could see came from the edges, so maybe the light array was separated into zones somehow.  I guess I'll never really know. Finally, some anecdotes: Anecdote #1:  I am a sentimental sort and I was a little sad to see the original go as me and my kids had broken in that first TV watching the then new Mandalorian series which we greatly enjoyed. Anecdote #2:  My “finance committee” hates it when we spend “large” amounts of money all at once.  In all those years I was listening to you guys, doing research, and waiting for the TV to become available, I banked my Amazon credit card reward points just for a TV.  When the time came, I only paid $61.02 out of pocket for this TV. We've greatly enjoyed the TV ever since.  I couldn't swing $4000-$5000+ at the time for the 55-inch OLEDs that were out then.  But the TCL has always been enjoyable.  HDR and Dolby Vision content especially look great for deep dark blacks.  Would I buy one similar to this again?  Maybe—the technology continues to improve even in just the last 4 years and prices have also come down.  There are lots of options.  Honestly, I think more about a short throw projector for my next TV based on Ara's experiences. Hope you and the listeners enjoy this story about my warranty experience. Josh Huntsville, AL

Alan Rozenshtein, Associate Professor at the University of Minnesota Law School and Senior Editor at Lawfare, sits down with David Kris, founder of Culper Partners and the former Assistant Attorney General for National Security in the Obama administration, to talk about a new paper that David has published as part of Lawfare's ongoing Digital Social Contract series, entitled "A Data Proxy for Clients of Cloud Service Providers.”Kris argues that cloud storage offers significant benefits for security and efficiency, but many organizations may be hesitant to adopt it due to the risk of secret disclosure: the practice by which law enforcement can compel cloud service providers to turn over customer data while legally prohibiting them from notifying the customer. To address this concern, Kris proposes the appointment of a "data proxy," a highly trusted individual (like a retired federal judge) who would be contractually authorized to represent the organization's interests when it cannot represent itself due to a nondisclosure order.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/c/trumptrials.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.