Payrix
NOVEMBER 7, 2024
At Payrix from Worldpay, we have an internal team of risk management experts dedicated to helping software companies, like yours, manage payment processing, fraud prevention, and compliance. Recently, we deployed an in-house machine learning model that predicts the likelihood of ACH payment rejections. compliance.
SaaStr
DECEMBER 22, 2022
Replace manual GRC efforts, reduce costs, and save time preparing for audits and maintaining compliance. Drata is the world’s most advanced security and compliance automation platform with the mission to help companies earn and keep the trust of their users, customers, partners, and prospects.
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SaaStr
APRIL 12, 2023
Why AI Matters to VCs Over the last decade, each type of machine learning has developed and grown, with generative AI becoming the most recent. Goldman Sachs predicts that the contribution of machine learning to GDP would fall somewhere between 1.5 – 2.9%. SaaStr Workshop Wednesdays are LIVE every Wednesday.
Tom Tunguz
MAY 15, 2023
the company has no plan/interest to staff a team to manage AI infrastructure or develop deep machine learning experience / expertise in-house. the team has or would like to develop intellectual property around machine learning as a competitive advantage or mechanism to increase the value of the business.
Advertiser: Data Robot
In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.
SaaStr
MAY 4, 2022
For example, Twilio used machine learning to retry cards at an optimal time and increased their authorization rates by two percent. Plan for compliance implications of your growth. As the internet economy grows, regulation and compliance costs grow with them. How can you use software to manage compliance for you?
Tom Tunguz
NOVEMBER 8, 2023
Whether it’s data being used inside applications, feeding machine learning models, or downstream analysis, companies are increasingly reliant on this data, and that’s not changing. Meanwhile, regulation and compliance mean the governance burden only increases. 80% of data is unstructured within organizations.
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