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    Technology

    AWS for Software Companies Podcast

    Stay ahead of the rapidly evolving cloud and AI landscape with the AWS for Software Companies podcast. 

    Hear from renowned software leaders, respected industry analysts, and experienced consultants alongside AWS experts as they explore the technologies shaping the future—from generative AI and agentic systems to intelligent cloud architectures, and modern data management. Learn how AI agents are transforming enterprise workflows, how leading companies are modernizing their cloud strategies with security best practices at the core, and what’s driving the next wave of SaaS innovation. 

    New episodes drop regularly to keep you informed on the trends that matter most to your business.

    Advertise

    Copyright: © 2023 Amazon Web Services

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    Latest Episodes:
    Ep007: Data-Driven Enterprise - Vision to Value with Tom Godden May 02, 2023
    Show notes

    Tom Godden, Enterprise Strategist with AWS and Executive advisor shares his experience as both a CIO and CTO on how to drive higher value from data strategies.

    Topics include:

    • About the Enterprise Strategy team
    • Learning from customers using data to go from vision to value
    • Speed and agility is the only differentiator
    • What it means to be a data-driven enterprise
    • How companies like Disney, Formula 1 and Amazon use data as a differentiator
    • “Data is the new oil” – CIO Magazine
    • 79% of the challenges around the adoption of data are cultural
    • 4 “Es” of data – Engage, Enable, Educate, Eliminate
    • Insist on having the data
    • One way and two-way doors & Two pizza teams
    • Decentralize data producers, distribute throughout organization
    • Be prepared to re-evaluate your metrics
    • Govern to enable, not to restrict
    • Building tenets for data policies and procedures
    • A data asset is not successfully deployed until it is fully automated
    • Think big and execute small
    • Building a smarter organization leveraging machine learning
    • A mission statements needs to mean something
    • Work to eliminate biases
    • Avoiding “The Frozen Middle”
    • Be clear on the “why” for implementing machine learning
    • Start small and think big with AI
    • Presentation wrap up

    Ep006: Leading and Innovating Through a Major Disruption with Jonathan Barouch of Local Measure Apr 18, 2023
    Show notes

    Jonathan Barouch, CEO of Local Measure, joins us to discuss their journey of leading and innovating through a major business disruption.

    Topics Include:

    • Intro to Local Measure
    • The pre-Covid business model and customers
    • Impact of Covid
    • Losing 75% of their revenue within months
    • Teams navigating the early months of Covid
    • Reinventing the business
    • Testing, iterating new business models
    • Leveraging AWS APIs for Amazon Connect Cloud Contact Center solution
    • Balancing the former focus and contact centre pivot
    • The importance of a call centre in lean times
    • Migrating call centres of airlines and banks within 30 days
    • Change management and the Local Measure solution
    • Leveraging AI/ML for additional customer efficiencies
    • Shaving seconds off calls equate to huge savings
    • Leveraging AI/ML to turbocharge agents
    • Additional industries for the Local Measure solution
    • Transforming data for tangible benefit
    • Proactive, predictive and outbound engagements
    • Guidance for other Software Executives going through disruption
    • What’s next for Local Measure
    • Interview wrap up

    Ep005: Building a Roadmap for SaaS Apr 04, 2023
    Show notes

    Multiple software industry leaders speak about their journey in building a resilient SaaS business.

    Speakers:

    • Adrian Deluca - Director of Solutions Architecture – AWS
    • Ashley Kramer - CMO, CSO, Acting CTO at GITLAB
    • Kochira Okamoto - CEO at Yayoi
    • Tendü Yoğurtçu, PHD - Chief Technology Officer at Precisely
    • Mathias Golombek - Member of the Executive Board and Chief Technology Officer at Exasol
    • Akshay Patel - Principal SaaS Business Development Lead at AWS

    Topics Covered:

    • Introduction by Adrian Deluca
    • Balancing growth and profitability Q/A by Tendü Yoğurtçu
    • Building and keeping both Exasol’s product lines running Q/A by Mathias Golombek
    • What do Enterprise customers value most? Q/A by Ashley Kramer
    • Balancing growth and profitability in Japanese countries & pivoting the company in a new direction Q/A by Kochira Okamoto
    • What strategies are used through SaaS factoring engagements Q/A by Akshay Patel
    • Favorite Metric for growth and profitability Q/A by Kochira Okamoto and Tendü Yoğurtçu
    • What were you unprepared for, when you were releasing your SaaS products? Q/A by Mathias Golombek and Tendü Yoğurtçu and Ashley Kramer
    • What sort of attributes do you look for in your developer you hire? Q/A by Ashley Kramer and Kochira Okamoto and Tendü Yoğurtçu
    • How is diversity playing out particularly in your business? Q/A by Tendü Yoğurtçu, Ashley Kramer and Akshay Patel
    • What do you think about Re-skilling? Q/A by Mathias Golombek, Kochira Okamoto, Ashley Kramer, Akshay Patel and Tendü Yoğurtçu
    • What do you do to invest in yourself for personal growth? by Mathias Golombek, K, Ashley Kramer, Akshay Patel and Tendü Yoğurtçu
    • End – Conclusion by Adrian Deluca



    Ep004: Accelerate Machine Learning for SaaS Projects with Veeva Systems Mar 22, 2023
    Show notes

    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 Systems
    • Background of Veeva TMF Bot
    • Leveraging AWS SageMaker
    • Scaling horizontally with smaller instances

    Ep003: Accelerate Machine Learning for SaaS Projects with Rokt Mar 14, 2023
    Show notes

    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 Rokt

    Machine Learning focused on improving eCommerce

    Why 85% of AI project fail

    Hiring, structures & best practices for AL/ML teams

    Rokt architecture overview and AWS Services


    Ep002: Accelerate Machine Learning for SaaS Projects with Proofpoint Feb 21, 2023
    Show notes

    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 Inc
    • How Proofpoint leverages AI in security model
    • ML Ops leverages AWS SageMaker
    • AWS 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 use
    • Partnering with AWS on Machine Learning Operational platform

    Ep001: Data - The Engine for Growth Feb 07, 2023
    Show notes

    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 AWS
    • Yinon Costica of Wiz - introduction
    • Elise Bergeron of Snowflake - introduction
    • Seshu Adunuthula of Coupang – introduction
    • What is the biggest opportunity going forward using data in developing software products?
    • Integration of disparate data and power of combining it
    • Elimination of data silos and focusing on how to use it
    • Culture gaps in data analysis
    • Deploying AI to address data requirements
    • Centralized and decentralized data models
    • Team structure for data management
    • Graph data model
    • Technology enablers for data management
    • How can customer data be leveraged?
    • Building a data-driven culture internally and w customers
    • What lessons should customers avoid?
    • Staying close to customers and ensuring alignment
    • Building roadmaps with customers
    • Data monitoring & management tips
    • Advice for software companies on data platforms

    Previous 1 21 22 23

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