Succeeding with Generative AI and LLMs in the Enterprise

Succeeding with Generative AI
and LLMs in the Enterprise

With the ability to identify patterns within vast sums of data, and create human-like content at lightning- fast speeds, generative AI applications built on top of large language models have emerged as a powerful tool for automating and optimizing a wide variety of tasks. From personalized marketing and new product design to writing code and creating synthetic data, the transformative potential crosses all industries.

Many enterprises are currently using generative AI, although adoption is still in the early stages. Right now, the most common applications are for tasks related to programming and data analysis, which is not surprising and could very well become the status quo in the future. What's certain is that many enterprises are accelerating their AI plans this year and the use and impact of generative AI in data management and analytics will continue to grow. This represents substantial opportunities as well as challenges such as skills shortages, legacy infrastructure issues, governance and security risks, data quality problems, and trust and transparency concerns.

To help IT leaders and data teams at enterprises navigate the key technologies, strategies, and emerging best practices, DBTA is hosting a special roundtable webinar on February 27th for an in-depth discussion with key industry experts.

Reserve your seat today!

Register Now to attend the webinar Succeeding with Generative AI and LLMs in the Enterprise. Don't miss this live event on Tuesday, February 27th, 11:00 AM PT / 2:00 PM ET.

SPEAKERS           MODERATOR   image
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Julian Forero
AI Product Marketing Lead
Tim Padilla
Director, Sales & Consulting North America
Dmitri Ryssev
Sales Engineer
Stephen Faig
Research Director
Unisphere Research and DBTA