The Semantic Cure for Your GenAI Hangover
Lecturer: Inna Tokarev Sela 15.8.2023
Recently, there has been a lot of buzz surrounding Gnerative AI and LLMs, with many discussions focusing on the huge impacts they have on the world.
How will these changes influence our approach to data and analytics? How can we leverage the capabilities of GPT effectively to optimize our data processes, save time, and streamline our efforts?
In the upcoming meetup, we will delve into GPT and how it will transform our relationship with data. We will discuss the importance of semantic layer in unlocking the full power of visual data exploration and gaining deeper insights, enabling us to make better informed decisions with the same data.
Furthermore, we will shed light on the expanding utilization of graph technology, which plays a significant role in data analysis, and we will emphasize the importance of data governance. Lastly, we will discuss how organizations capitalize on technological advancements to foster innovation in a data driven world.
The lecture is for anyone interested in GenerativeAI and Data, suitable for beginners and experts alike.
Lecturer: Inna Tokarev Sela, The founder and CEO of illumex, the unified Business Data Language for Enterprises with proprietary Generative AI for automated Data and Analytics Interpretation.
Throughout her career leading Data Products and as a data stakeholder, Inna recognized the oxymoron of our domain: despite huge investments in data and analytics, most business decisions are still not based on data or insights. Therefore, she uses her vast industry and academic experience to solve this conundrum and help data and business teams scale trust-based decision-making.
Before embarking on her entrepreneurial journey, Inna was VP of AI at Sisense and Senior Director of Machine Learning at SAP. Additionally, She authored several patents on knowledge graphs, natural language, and deep learning, is a frequent speaker at leading D&A and AI conferences, and is Head of the Women in Data Israel chapter.
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