
Ep041: Driving Growth for SaaS on AWS - Best Practices, Learnings and Observations
06/11/24 • 29 min
In this highly informative episode, we share strategies and best practices for driving growth for SaaS companies featuring Kulwinder Kalsi, head of UK and Ireland Enterprise Software and SaaS Architecture and Johan Broman, Head of Solutions Architecture for Independent Software Vendors for Europe, Middle East & Africa.
Topics Include:
- Discover the main expectations end customers have of SaaS companies, including frictionless tenant onboarding, instrumentation/monitoring, pricing transparency, and focusing on core innovation.
- Explore key trends shaping the SaaS industry, such as the shift towards consumption-based pricing models, complex pricing strategies that align packaging with customer segments, and leveraging other software partners to remove undifferentiated heavy lifting.
- Learn how AWS can help SaaS companies with its global infrastructure, robust security measures, and rich ecosystem of services and partners to accelerate growth and innovation.
- Get insights into monetizing data strategies that SaaS companies can adopt to unlock additional revenue streams from their tenant data.
- Understand the different ways AWS partners, including systems integrators, professional services, and other software vendors, can support SaaS companies through their journey.
- Receive practical advice on approaching cloud migration and modernization, including aligning leadership, assessing growth vs. retention goals, and choosing the right mix of lift-and-shift or full modernization.
- Gain a nuanced perspective on developing AI solutions, covering use case identification, model selection, deployment techniques like prompt engineering and fine-tuning, and the importance of monitoring and management.
- Hear expert tips on navigating the rapidly evolving generative AI landscape, leveraging AWS services like SageMaker and Bedrock, and utilizing specialized AI chips like Trainium and Inferentia.
In this highly informative episode, we share strategies and best practices for driving growth for SaaS companies featuring Kulwinder Kalsi, head of UK and Ireland Enterprise Software and SaaS Architecture and Johan Broman, Head of Solutions Architecture for Independent Software Vendors for Europe, Middle East & Africa.
Topics Include:
- Discover the main expectations end customers have of SaaS companies, including frictionless tenant onboarding, instrumentation/monitoring, pricing transparency, and focusing on core innovation.
- Explore key trends shaping the SaaS industry, such as the shift towards consumption-based pricing models, complex pricing strategies that align packaging with customer segments, and leveraging other software partners to remove undifferentiated heavy lifting.
- Learn how AWS can help SaaS companies with its global infrastructure, robust security measures, and rich ecosystem of services and partners to accelerate growth and innovation.
- Get insights into monetizing data strategies that SaaS companies can adopt to unlock additional revenue streams from their tenant data.
- Understand the different ways AWS partners, including systems integrators, professional services, and other software vendors, can support SaaS companies through their journey.
- Receive practical advice on approaching cloud migration and modernization, including aligning leadership, assessing growth vs. retention goals, and choosing the right mix of lift-and-shift or full modernization.
- Gain a nuanced perspective on developing AI solutions, covering use case identification, model selection, deployment techniques like prompt engineering and fine-tuning, and the importance of monitoring and management.
- Hear expert tips on navigating the rapidly evolving generative AI landscape, leveraging AWS services like SageMaker and Bedrock, and utilizing specialized AI chips like Trainium and Inferentia.
Previous Episode

Ep040: Business Applications Transforming Industries
Business applications are catalyzing profound transformations across industries, streamlining operations, enhancing productivity, and fostering innovation. Leveraging advanced technologies such as generative AI, these applications are reshaping traditional business models, driving agility, and fueling competitive advantage in the global marketplace.
Panelists:
- Neboysa Omcikus - Head of Strategy, https://www.linkedin.com/company/gleanwork/Glean
- Steve Antonakakis - Divisional COO, Enterprise Productivity, PDI Technologies
- Shiv Sehgal - Executive Vice President, Audience Analytics, RSG Media, a Naviga Global company
- Karen Hensley - Principal Data Strategist, AWS
Topics Include:
- Panel Introductions
- How did you decide where to focus with Generative AI?
- Quantifying the value of projects with customers
- Delivering the value and capability for customers
- Do customers care deeply about the technology or the experience?
- How did you move from “test and experiment” phase to production
- How did you reevaluate your data strategy when developing software?
- Working with customers on their data safety, security and ethics
- Driving innovation within data regulatory and compliance requirements
- Looking into the future – What’s the next wave of transformation for industry specific solutions?
Next Episode

Ep042: Build & Leverage AI Within Enterprise Applications & Workflows – with Jimmy Hillis of Airtable
Jimmy Hillis, Head of Engineering at Airtable, shares examples, guidance and major themes for how businesses can successfully build and leverage AI within their enterprise applications and workflows.
Topics Include:
- Introductions and Airtable overview
- Challenges businesses have articulating how AI will add value
- Core insights: AI needs to leverage your own data
- AI functionality needs to live within existing tools and workflows
- Have workflow and business experts building prompts for the desired function
- AI presents a new set of fears and restrictions
- Examples for successful implementation of AI
- Airtable AI field examples and automations feature
- Example of leveraging technology to reduce manual activity
- Data governance, training data for use
- Network governance and Flexibility
- Recapping the themes, session wrap up
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