article thumbnail

Data Product Teams : Best Practices for a Modern Data Team

Tom Tunguz

DPRDs, or Data Product Requirements Documents, contain the key information about a data product: what it will provide, how it will produce value, how the data will be governed including data quality alerting. Unlike code, data is stochastic or unpredictable. Data may change in size, shape, distribution, or format.

Data 203
article thumbnail

Generative AI Governance: Essential Tips to Get Started

Scytale

However, AI’s arrival (and implementation) has certainly caused a fair amount of whiplash, as some companies still try to wrap their heads around use, risks, and overall ethical governance. Hence, there is a growing need for and importance of Generative AI governance. What is Generative AI Governance?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

AI-Driven SaaS Governance: Ensuring Cloud Security

SaaS Metrics

Enter AI-Driven SaaS Governance—a powerful ally in your security toolbox. What is AI-Driven SaaS Governance? Read more The post AI-Driven SaaS Governance: Ensuring Cloud Security first appeared on SaaS Metrics. You need robust security to guard against ever-evolving threats.

article thumbnail

What the Online Advertising World Can Teach Us about the Evolution of Machine Learning in SaaS

Tom Tunguz

With machine learning, we may see another evolution of this. Machine learning startups create models based on data provided by customers. Unlike the first wave of SaaS software, machine learning startups benefit from the data their customers share with them. Which is the right viewpoint?

article thumbnail

Build Trustworthy AI With MLOps

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.

article thumbnail

Ethics in Machine Learning - An Opportunity for Startups to Lead

Tom Tunguz

It’s one of undoubtedly many technologies which will use one machine learning model to detect another machine learning model. But I’m hopeful that many machine learning startups who develop novel technologies will also adopt ethics statements. This idea is not new.

article thumbnail

The Convergence of Data & Software Engineering in the Age of AI

Tom Tunguz

Machine learning’s demand for data has accelerated this movement because AI needs data to function. Security systems govern access to databases akin to secrets management & identity access management solutions do in the cloud.

article thumbnail

The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models.

article thumbnail

10 Keys to AI Success in 2021

The importance of governance in ensuring consistency in the modeling process. How MLOps streamlines machine learning from data to value. AI storytelling in communicating value to your organization. Trusted AI and how vital it is to your AI projects.

article thumbnail

Resilient Machine Learning with MLOps

To prevent deployment delays and deliver resilient, accountable, and trusted AI systems, many organizations invest in MLOps to monitor and manage models while ensuring appropriate governance. Download today to find out more!