Simplifying Scalable Cloud Analytics, Data Science, and Machine Learning Workflow
Webinar Speaker: David Loshin, President of Knowledge Integrity
Date: Thursday, April 25, 2024
Time: 9:00 a.m. PT / 12:00 p.m. ET
In this online panel discussion, we will cover how a modernized cloud-based data and analytics architecture empowers data analysts, data scientists, and business users. With the increasing data volumes and demand for sophisticated machine learning and AI models, it's crucial to ensure computational performance meets data consumer expectations. We will explore how a multilayered data and analytics framework can provide real-time data insights, analysis, and visualization for various data workloads.
Along with machine learning and AI models, business intelligence platforms can help streamline this work by providing simplified and intuitive data access, delivery, and presentation.
During this webinar, attendees will learn about:
- Developing scalable data and analytics solutions
- Enabling data consumers for advanced data workflows
- Simplifying ad hoc analysis configuration for business decision-making
- Integrating platform technologies for scalable data solutions development, deployment, and management
Join us to discover how a modernized data environment can revolutionize your data workflows!
Guest Speakers
Keon Shahab
Solution Architect
Databricks
Keon Shahab is an experienced data professional and solutions architect at Databricks working with large financial services organizations. Keon has been a solutions architect at Databricks since 2021 and is passionate about enhancing the adoption of the data lakehouse architecture while helping to modernize the financial services industry with the most cutting-edge technologies.
Stipo Josipovic
Director of Product Management
Sigma Computing
Stipo Josipovic serves as Director of Product Management at Sigma. As the first Product Manager, he has played a significant role in developing Sigma's product offerings, covering core aspects like data modeling and governance, as well as innovative areas such as collaborative analysis building and data input in the warehouse. He has been instrumental in delivering essential features like Datasets, Live Edit, and Input Tables. With a diverse background in full-stack engineering, managing BI deployments, and sales engineering, Stipo's expertise has been crucial in driving innovation and success at Sigma.
David Loshin