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This webinar offers a guide for data engineers, data scientists, and ML engineers that must design and manage these pipelines. It explores three primary approaches to supporting domain-specific language models: prompt enrichment, one-shot prompting, and retrieval-augmented generation (RAG). In each case data teams aim to provide language models with the facts and context they need to generate accurate, trustworthy, and governed responses that drive value for the business.

Join our webinar with Kevin Petrie, VP of Research at Eckerson Group, and Cyril Sonnefraud, Principal Product Manager of Matillion, to learn:

• What generative AI is and how it works 

• Why companies are adopting domain-specific language models 

• How data pipelines support these GenAI initiatives 

• How prompt enrichment, one-shot prompting, and RAG compare with one another 

• What criteria to use when evaluating these approaches

Sponsor: Matillion

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At Eckerson Group, we love the end of the year. It gives us a chance to step aside from the daily cadence of creating data & analytics research and advising consulting clients. We can sit back and reflect on the events of the past year and prognosticate on what may transpire in the months ahead. 

Our predictions webinar will be a community discussion where we bring your thoughts and ideas into the conversation. Don’t be shy! Bring your eggnog or beverage of choice and celebrate the holidays and end of the year with your favorite Eckerson research analysts and consultants.

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Data products promise to deliver high-quality data sets to business users on demand, fostering greater trust in data and higher levels of empowerment and self-service. But many companies struggle to understand not only what data products are, but how to create, govern, and manage them.

This 3-hour virtual event is designed to dive into the practical implications of running an organization using data products. It will describe how a data product is different from a data asset and then describe how to create data products from data assets using a variety of tools and techniques. It will address organizational, architectural, and process considerations for delivering data products at scale. It will also review commercial products that help data producers create, publish, and monitor data products and data consumers browse, evaluate, and subscribe to data products.

Attendees Will Learn:

• The key components of a data product

• How to build data products from data assets

• How to create a data product mindset in your organization

• How to select a platform to publish and consume data products

• How to create data contracts and deliver on promises

In today's digital era, many organizations face challenges with inefficient data management processes, which can hinder the successful adoption of generative AI and other data-driven initiatives. As the reliance on domain-specific data intensifies with the advent of generative AI and language models, the imperative for stringent data governance becomes more relevant.

By attending, you will uncover how to: 

• Achieve optimized decision-making that integrates generative AI and language models, all underpinned by scalable data governance practices  

• Maximize the ROI of your generative AI initiatives by fortifying essential data processes

• Accelerate your AI adoption for rapid value delivery and adaptability

Sponsor: Informatica

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Business leaders know that decisions based on data deliver the best results, but establishing data-driven practices can be challenging. All businesses want to become data-driven, but research shows that only a third of them are succeeding.

This session will present a framework for becoming a data-driven leader that puts “business” back into business analytics. The framework will include how to effectively align the analytics strategy with the business strategy, build business-focused data models and solutions to deliver actionable insights, build KPI driver models, and design root cause business solutions.

Consultant: Rich Fox, Senior Consultant

About the What Works Series:

The What Works Series provides data and analytics leaders practical advice about how to succeed in key areas: data strategy, data architecture, data governance, data literacy, self-service analytics, and emerging technology approaches. These interactive sessions are delivered by Eckerson Group consultants who collectively have 200+ years of data & analytics experience. The sessions are unsponsored, enabling our experts to offer the unvarnished truth about trends, tools, and technology unfiltered by software vendors.