Where Analytics Meets Modernity: Tools And Best Practices
database trends and applications, Tuesday, November 14,2023
The space of analytics is one that evolves in tandem with the data needs of any organization. With the modernization of data infrastructures and data architectures comes advanced analytics needs, ranging from going real-time to enabling AI and ML use cases, self-service, and improved performance and scalability. While the needs are varying, the accompanying challenges of modern analytics are equally as diverse.
Experts in analytics joined DBTA's webinar, The Future of Analytics: Data Warehouses, Data Lakehouses, and Data Mesh, to offer IT leaders and practitioners best practices and new technologies for navigating where modernity meets analytics.
Paul Lewis, chief technology officer at Pythian, framed his discussion of analytics around the ever-popular sphere of generative AI (GenAI).
Lewis explained that GenAI 'will have many beneficial applications in a variety of industries. However, organizations will need to address privacy, security, and compliance risks before they leverage this technology and access the next step in their analytics journey.'