AWS for Software Companies Podcast

Frank Della Rosa, Research Vice President of SaaS, Business Platforms, and Industry Cloud at IDC, shares the recent trends of the software industry and how some successful software companies are adapting their strategies to best take advantage and create value.Topics Include:The worldwide forecast for SaaS and cloud softwareMajor growth stats for SaaS and Cloud softwareNorth America growth deep diveTop businesses investing in generative AICo-creation with individuals, teams and machinesCriticality of roadmap for generative AIMonetizing generative AI’s impact on demandData’s role in the “Year of the Platform”Purpose built platformsEnterprise generative AI use casesOpportunities and challenges of generative AIInforming ISV and SaaS partners on tech buyer focusImpact of software architecture from edge infrastructureGenerative AI and application modernization servicesEnhanced productivity, operational excellence, Hyper personalizationDomain specific models and vertical SaaS companiesWhere are we going? What’s ahead?Reiterating the final points

Mark Billige, CEO of global consultancy firm Simon Kucher and Miguel Alava, General Manager of AWS for software companies in EMEA, discuss strategic software industry insights and trends that will shape the future of data, generative AI and cost optimization.Topics Include:Shift from Growth-at-All-Costs to Profitable Growth ModelsMonetizing the Value of Generative AI OfferingsTreating Data as a Monetizable Asset for Software CompaniesStrategies for Expanding into the U.S. Software MarketRethinking Software Pricing and Revenue ModelsOrganizational Changes Required for AI-Driven InnovationAvoiding Undervaluing Software Offerings and Leaving Money on the TableBalancing Cost Optimization with Investing in GrowthLeveraging Partnerships/Acquisitions for New Market Entry

Ep035: Today's podcast features panel discussion from the "AWS for Software Companies Generative AI and Data Executive Forum" featuring leaders from Anyscale, Qlik and Rapid7 sharing insights on data models, policies and optimization for Generative AI applications.Panelists:Zhe Zang, Head of Open Source Engineering, AnyscaleBrendan Grady, EVP & GM, Analytics Business Unit, QlikLaura Ellis, VP - Data Engineering and Platform Analytics, Rapid7Sherry Marcus Ph.D., Director, Applied Science, AWSTopics Include:Introductions of the panelWhat big bets are you making with your companies and why?What have the learnings been with data preparation?Balancing present needs with the future of AI – growing data literacyCost optimization for AI and Data platformsConstraints of hardware and growing expenseWhat models and solutions have customers been asking for?High stakes risks for AI and DataHow customers are reacting to different compute modelsGuardrails, filters and risk-mitigation best practicesData and AI pain pointsNew global policies challenging data and AI developmentChallenges with data qualityHow has AI changed and evolved with digital natives?Open and closed models in the marketMetrics and selection for modelsBiggest lessons learned in the AI and data spaceSession conclusion

A panel discussion from the AWS for Software Companies Generative AI and Data Executive Forum featuring leaders from DatologyAI, Gretal.ai and Zscaler sharing insights on data analytics, AI/ML and cost optimization.Panelists:Ari Morcos - CEO and Co-founder at DatologyAIJohn Meyers - CTO and Co-Founder at Gretel.aiSanjay Kalra - Product Management at ZscalerAndy Perkins – General Manager, Data, Analytics, GenAI at Amazon Web ServicesTopics Include:Top 3 keys to success integrating insights, AI-ML, generative AIBig business opportunities for data curation, data analytics to reduce costsRecent ML innovations for solving problems with dataBalancing utility and accuracy with synthetic data for privacyWhat is the role synthetic data plays in AI/ML OpsBenefits of synthetic dataCost optimization existing data in AI/ML platformReinvesting cost savings into innovation with data and generative AIInsights and predictions for data, AI/ML, generative AI to transform user journeys

Phil Le-Brun of AWS speaks to Brad Porter, CEO of Orion Health about the exciting future healthcare, communities that have adopted a “Digital First” strategy and improving the healthcare experience through data and technology.Topics Include:The ambitious mission and vision for Orion HealthcareImproving the clinician and patient experience through dataThe role of data in healthcareOpportunities for digitization and innovation in healthcareAI and data for improving healthcare predictability & efficiency.Using technology to “join the dots” for health trends of the populationExamples and benefits of communities that have a “Digital First” strategy for healthcareThe patient experience with their healthcare dataBuilding trust with personal health informationLearning about digital opportunities from personal experiences with healthcare

In this podcast we’ll hear from Stephen Manley, CTO of Druva, about the problem of data sprawl, and how AWS customers like Druva have prepared, orchestrated, and unified petabytes of data to analyze and perform at scale. Topics Include:Generative AI has flipped a lot of legacy AI in last few monthsOverview of Druva / a SaaS backup companyHow do we use generative AI to help customers get more value?What problems did we not expect with generative AI?Curating data to feed into LLMsIntegrating security and privacy into the productMeasuring performance with generative AIAWS team helping solve the issuesBetting big on AWS BedrockIngesting data into S3 with 5x performance improvementUnified view of security, aggregating data for efficiencyWalking through an example querySummary recommendations

Today, in collaboration with Business Insider India, Raviteja Dodda, Founder and CEO of MoEngage shares the story of how MoEngage is shaping customer engagement and provides guidance for other software leaders wishing to make the same journey. Topics Include:Jeff Klaus and Raviteja Dotta IntroductionsHow has the Customer Engagement Space evolved in recent years?How has SaaS help automate AI-driven personalization?Maximizing existing customersSteps and best practices for growing to multiple marketsDeveloping GTM approach for Asia, Europe and North American marketsCreating a “flywheel effect” by leveraging customer communitiesInnovating to stay ahead of the curve in the software industryMoEngage implemented AI in 2016 – how had that AI strategy evolved through to generative AI?Recommendations and Lessons Learned

Today, a session from the AWS for Software Companies Executive Forum at re:Invent, Jeremy Schnieder, Senior Partner at McKinsey & Company, shares some mega trends of the software industry.Topics Include:Software is growing significantly.Total value of Enterprise software industry has doubled in the last 5 yearsIT spending rising, SaaS now over 50% of software revenueOpportunities & major growth drivers with GenAIShifts balance of internal development and commercial software due to GenAIGenAI influenced changes in various market segmentsTactics that product led sales are usingProductivity benefits from generative AI-assisted software developmentProductivity metrics for generative AI

Gabriele Lasauskaite, Head of Growth & Community Programs at AWS, speaks with Luke Anear, CEO and Founder of SafetyCulture as he shares the story of SafetyCulture, becoming a critical app for businesses, supporting 75,000 customer globally and the plans for 100x growth in the coming years.Topics Include:How did SafetyCulture begin? What problem were you trying to solve?Who are the customers of SafetyCulture?Australian Open using SafetyCulture for their eventsAirlines relying on SafetyCultureThe role of technology on SafetyCultureThe importance of User ExperienceGrowing the SafetyCulture business 100x by 2032Interview wrap up

James Hunt, Vice President of Product Management of eGain shares the story of how eGain Analytics is helping Amazon Connect customers to measure, manage and optimize their contact centers.Topics Include:Overview of eGaineGain Solution hubs: Knowledge, Conversation & AnalyticsWhy enterprises choose eGain AnalyticsContact Center Analytics: Buy vs. BuildNavigating a migration from On-Premise to Amazon Connect – Best Practices & Pitfalls.A real customer migration experienceBuilding trust with large enterprises and government clientsHow eGain leverages AWS servicesThe Amazon/eGain partnershipAdvice for other software executivesFind out more: eGain.com and eGain on AWS MarketplaceNavigating the migration from On-Premise Solutions to Amazon Connect – Best Practices & Pitfalls.