Title

AWS re:Invent 2023 - Unlocking SaaS backup data’s transformative potential (ANT104)

Summary

• Gene Unn from Own Company and Girish Chanchalani from AWS presented on leveraging SaaS backup data as a strategic asset.
• OWN is a leading data platform for mission-critical SaaS applications, utilizing AWS services and available on the AWS marketplace.
• The session highlighted the continuous rise of SaaS applications, with enterprises using an average of 370 SaaS applications and the SaaS market projected to reach $10 trillion by 2030.
• OWN's products focus on protecting critical SaaS data and activating SaaS data for deeper insights.
• The importance of SaaS backup data is emphasized, which is often overlooked but contains valuable information for business transformation.
• OWN has developed OWN Discover, a secure data service that provides access to SaaS backup data for analysis, AI model training, and integration with other systems.
• Girish discussed AWS services like QuickSight for business intelligence, SageMaker for machine learning, and Amazon Bedrock for generative AI, which can be used with OWN Discover data.
• OWN offers a suite of products for data security, backup and recovery, data governance, compliance, and data activation.
• The session concluded with an invitation to visit OWN's booth and download more information about their products.

Insights

• The exponential growth of SaaS applications is creating vast amounts of data, which presents both challenges and opportunities for businesses to harness this data for strategic advantage.
• Backup data, traditionally seen as an insurance policy, is being repositioned as a valuable resource for business intelligence, predictive analytics, and AI model training.
• OWN's integration with AWS services like QuickSight and SageMaker indicates a trend towards seamless interoperability between data management platforms and cloud services, enabling more sophisticated data analysis and machine learning capabilities.
• The emphasis on non-technical user accessibility, such as through natural language queries in QuickSight, reflects a broader industry move towards democratizing data analytics and AI, making these technologies more accessible to a wider range of business users.
• The presentation of use cases, such as sentiment analysis of customer interactions and predictive sales forecasting, illustrates practical applications of SaaS backup data that can drive business decisions and strategies.
• The mention of generative AI and its integration into software interactions, such as chatbots and copilots, signals an ongoing innovation in how businesses interact with and utilize software, potentially transforming user experiences and productivity.
• OWN's comprehensive suite of products for various aspects of data management, from security to activation, suggests a holistic approach to SaaS data that caters to diverse business needs, including compliance, development, and strategic analysis.