AWS for Software Companies Podcast

AWS - Amazon Web Services
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Mar 22, 2023 • 17min

Ep004: Accelerate Machine Learning for SaaS Projects with Veeva Systems

Alessandro Maoggi, Senior Manager of Engineering at Veeva Systems, shares their journey and lessons learnt developing AI/ML tools with AWS Sagemaker.Topics Include:Intro to Veeva SystemsBackground of Veeva TMF BotLeveraging AWS SageMakerScaling horizontally with smaller instances
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Mar 14, 2023 • 18min

Ep003: Accelerate Machine Learning for SaaS Projects with Rokt

Kanishka Mohaia, VP of Engineering (Data and Machine Learning) at Rokt, shares their journey and lessons learnt in developing AI/ML teams.Topics Include:Introduction: Kanishka Mohaia, VP of Engineering (Data and Machine Learning) at RoktMachine Learning focused on improving eCommerceWhy 85% of AI project failHiring, structures & best practices for AL/ML teamsRokt architecture overview and AWS Services
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Feb 21, 2023 • 10min

Ep002: Accelerate Machine Learning for SaaS Projects with Proofpoint

Machine Learning is critical for software teams. Adam Starr, Senior Global Engineering Manager, Data Science at Proofpoint, shares their journey to successfully building and deploying AI/ML solutions using Amazon SageMaker.Topics Include:Adam Starr, Senior Global Engineering Manager, Data Science at Proofpoint IncHow Proofpoint leverages AI in security modelML Ops leverages AWS SageMakerAWS Innovation – Going from idea to prototype to production (Sagemaker Studio, Ground Truth, GitPush, Sagemaker Pipeline, Sagemaker Endpoints)Critical success factors and which AWS services to usePartnering with AWS on Machine Learning Operational platform
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Feb 7, 2023 • 55min

Ep001: Data - The Engine for Growth

Listen in as Industry Leaders from Coupang, Snowflake and Wiz discuss strategies for using data as a business driver and share their experiences. Topics include:Intro by Barry Morris of AWSYinon Costica of Wiz - introductionElise Bergeron of Snowflake - introductionSeshu Adunuthula of Coupang – introductionWhat is the biggest opportunity going forward using data in developing software products?Integration of disparate data and power of combining itElimination of data silos and focusing on how to use itCulture gaps in data analysisDeploying AI to address data requirementsCentralized and decentralized data modelsTeam structure for data managementGraph data modelTechnology enablers for data managementHow can customer data be leveraged?Building a data-driven culture internally and w customersWhat lessons should customers avoid?Staying close to customers and ensuring alignmentBuilding roadmaps with customersData monitoring & management tipsAdvice for software companies on data platforms

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