article thumbnail

OneStream: Benchmarking the S1 Data

Clouded Judgement

With embedded applied AI and machine learning technologies built specifically for Finance, our platform automates and streamlines workflows, accelerates analysis and improves forecast accuracy, equipping the Office of the CFO to report on, predict and guide business performance.

article thumbnail

When Machine Learning Just Isn't Enough

Tom Tunguz

At SaaStr earlier this year, I spoke about the huge potential of machine learning in SaaS. There are three key phases of enterprise A.I. Only by nailing the workflow will a user grant you the time and permission to wow them with machine learning. This is very complex but very specific.

Insiders

Sign Up for our Newsletter

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

article thumbnail

The Key Ingredient to Disrupting with Machine Learning

Tom Tunguz

Which are the ripest areas for startups to disrupt using machine learning? At the core, machine learning/artificial intelligence relies on two key ingredients: advanced algorithms and data sets to train those algorithms. But in the enterprise world, natural monopolies are far fewer for many reasons.

article thumbnail

The Impact of Generative AI on Software With Theory Ventures Founder & General Partner Tomasz Tunguz (Pod 650 + Video)

SaaStr

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.

article thumbnail

5 Things a Data Scientist Can Do to Stay Current

And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Sharing data with trusted partners and suppliers to ensure top value.

article thumbnail

The Where, When, and How of AI with Theory Ventures, Open AI, MotherDuck and Lamini

SaaStr

At SaaStr Annual , he was joined by Jordan Tigani, Founder and CEO of Mother Duck Maggie Hott, GTM at OpenAI , and Sharon Zhou, Co-Founder and CEO of Lamini to discuss the new architecture for building Software-as-a-Service applications with data and machine learning at their core. This is being adopted broadly in the Enterprise.

article thumbnail

How CIOs are Leveraging AI and Machine Learning to Achieve ITSM Goals

Think Strategies

The emergence of ‘shadow IT’ as a major force within many enterprises raised questions about the role of IT in a cloud-first world. For the past decade, many IT departments have been on the defensive trying to keep pace with escalating end-user demands and competitive pressures.

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. Download the report to find out: How enterprises in various industries are using MLOps capabilities.