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Using Generative AI to Drive Corporate Impact

TechEmpower SaaS

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.

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Thanks to Mercury, Rattle, Remote, Trustero, and Vention for Sponsoring SaaStr Annual 2023!

SaaStr

Remote makes it easy to manage international payroll, benefits, taxes, stock options, and compliance in 50+ countries. Trustero aims to be the trust clearing house for SaaS businesses, replacing the need for a traditional approach to compliance through 3rd party consultancy.

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Best DAST scanning tool for DevOps-enabled software development teams

Audacix

This can help your software engineering teams to remediate vulnerabilities faster, reducing the window of opportunity for attackers. Using DAST tools can also help your company meet compliance requirements, for example for ISO27001 certification or SOC2 certification. How does DAST work?

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Best DAST tools for DevOps & software development teams

Audacix

This can help your software engineering teams to remediate vulnerabilities faster, reducing the window of opportunity for attackers. Using DAST tools can also help your company meet compliance requirements, for example for ISO27001 certification or SOC2 certification. How does DAST work?

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Best application vulnerability assessment tools for software companies (paid & free)

Audacix

Configuration compliance issues that is used in compliance reporting for ISO27001 certification or SOC2 certification. Can all vulnerability scanning tools find security vulnerabilities in software? What steps should I take to see if automated vulnerability scanning is right for my software team?

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The Data-Centric AI Movement and Opportunities for the MLOps Ecosystem

OpenView Labs

If you haven’t seen his talk— “From model-centric to data-centric AI” —we highly recommend watching it. While there’s certainly more innovation to be had in this category, AI practitioners are starting to see diminishing returns from model improvements. Machine learning models have improved dramatically over the last decade.