Industry-first group of visionary technology leaders will set an industry standard for data quality in the field of AI.
Monte Carlo, the AI-first data observability company, today formally launched its Trusted Data for AI (TDAI) Advisory Council, featuring representatives from Pepsico, BP, CreditKarma, and other data-driven organizations. The TDAI Advisory Council is an exclusive group of top technology leaders assembled to make the data powering AI more trustworthy and reliable.
As Generative AI (GenAI) becomes increasingly critical to companies across industries, the urgency with which organizations must prioritize data quality initiatives will only heighten. This sentiment was reinforced in Monte Carlo’s recent State of Reliable AI survey, which revealed that while 100% of data leaders are currently leading GenAI initiatives, two thirds of them don’t believe that their data is reliable enough to support AI products.
As organizations build their futures around AI, data quality has quickly become a topline initiative. The best practices and industry leadership that will emerge from the TDAI Advisory Council will provide the playbook for these organizations to succeed in our AI-driven world. Specifically, the TDAI Advisory Council aims to establish vendor-neutral standards around data quality for LLMs; foster thought-provoking and productive conversation around data reliability for AI products; and produce tangible and actionable guidance for industry leaders and practitioners to employ in their AI efforts.
Introducing Our TDAI Advisory Council Founding Members
Joining Monte Carlo’s TDAI Customer Advisory Council are industry leaders and data observability pioneers who each bring a wealth of experience and expertise that will greatly benefit the council, Monte Carlo and its customers, and the broader data community. They are:
- Franziska Bell, SVP, Digital Technology, BP
- Dr. Pierre A. Fischer, Product Line Lead, Data Platforms, Roche
- Iwao Fusillo, Global Head of Data and Analytics, Digital Commerce, Pepsico
- Oliver Gomes, Vice President, Analytics and Strategy, Fox
- Thomas Meyer, Chief Data Officer, Richemont & Cartier
- Vishnu Ram, VP, Engineering, Credit Karma
- Lior Solomon, Vice President, Data Engineering, Drata
"AI has skyrocketed to the top of every leader’s priority list, unlocking a host of opportunities for innovation. While organizations have invested in resources, technologies, and even teams to drive forward their AI initiatives, all too often they overlook one of AI’s most fundamental building blocks: high quality, reliable data," said Barr Moses, co-founder and CEO of Monte Carlo. "I’m excited to partner with some of the brightest minds in technology to pioneer the standards and best practices around building reliable LLMs and AI products at scale.”
The TDAI Advisory Council represents the first of many milestones for Monte Carlo’s TDAI Initiative, which will include future innovations to its data observability platform, industry partnerships, events, and more.
The Voices of Trusted AI
“Data is the lifeblood of all AI - without secure, compliant, and reliable data, enterprise AI initiatives will fail before they get off the ground. Data quality is a critical but often overlooked component of ensuring ethical and accurate models, and I’m glad to be part of a group that’s going to bring data quality for AI into the spotlight,” said Lior Solomon, VP of Data, Drata. “The most advanced AI projects will prioritize data reliability at each stage of the model development life cycle, from ingestion in the database to fine-tuning or RAG.”
"Trustworthy and high-quality data is a prerequisite to data-driven decision making and AI. I am thrilled to join the Trusted Data for AI Advisory Council, and look forward to contributing to a data quality-first AI future," said Franziska Bell.
To learn more about this initiative and how organizations are making AI trustworthy and reliable with Monte Carlo’s Data Observability Platform, visit www.montecarlodata.com or request a demo.
About Monte Carlo
As businesses increasingly rely on data to drive better decision-making, scale digital services, and power AI initiatives, it’s mission-critical that this data is trustworthy and reliable. Monte Carlo, the AI-first data observability company, solves the costly problem of broken data through their fully automated, SOC-2 certified data observability platform. Billed by Forbes as the New Relic for data teams and backed by Accel, Redpoint Ventures, GGV Capital, ICONIQ Growth, and IVP, Monte Carlo empowers companies to trust their data.
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Peter Milligan
pmilligan@montecarlodata.com
434.996.7985
