Data Engineering Trends in 2024: Solving Challenges to Ensure Success with Analytics, AI/ML, and LLMs (GMT Timezone)
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Monday, September 9, 2024
Time: 10:00 a.m. GMT
Data engineers are essential for designing and building data pipelines and data systems so data scientists, analysts, developers, and others can solve business problems and innovate. As data explodes in volume, variety, and velocity, data engineers must use scalable, adaptable technologies and cloud services to rapidly deploy new workloads and data-rich applications.
What’s ahead in 2024 for data engineering? To maximize ROI in data, organizations must solve challenges that hinder progress with analytics and AI/ML, including data silos (which may increase as organizations adopt LLMs and generative AI), costly data infrastructure complexity, and determining what is “right time” data for an expanding variety of users and workloads.
Register today to attend this TDWI webinar where experts will discuss the top data engineering trends and how your organization can address challenges and achieve data-driven objectives by:
- Developing strategies for reducing data silos, especially as you seek to deploy LLMs and generative AI
- Viewing data streaming as a continuum, not just real time, letting you match update capabilities with requirements and balance data latency with cost
- Taking advantage of AI-infused automation and LLMs to overcome data engineering complexity
Shiyi Gu
Senior Product Marketing Manager
Snowflake
Shiyi leads Snowflake’s data engineering go-to-market efforts, driven by her deep passion for data’s ability to foster connections and drive cultural change. Prior to Snowflake, she accrued extensive experience in data management across roles at Talend, DataStax, and SAP.
David Stodder