Astera will host a live webinar addressing a critical challenge facing enterprises today as organizations struggle to deploy AI and conversational analytics tools that produce trustworthy results in production environments. The webinar, titled "How to Build an Enterprise Data Foundation for Reliable Analytics and AI," is scheduled for Wednesday, July 15, 2026, at 11 AM PT / 2 PM ET.
The session responds to a documented industry problem where AI and conversational analytics tools that demonstrate well in controlled settings often fail in production because they operate on data foundations that were never designed for analytical queries. Industry data shows that only one out of ten companies successfully scale AI agents to production, with inadequate data infrastructure cited as the primary barrier.
Jay Mishra, Chief Product and Technology Officer at Astera, will lead the webinar, bringing over 20 years of experience in building enterprise AI, GenAI, and automation platforms. Mishra specializes in agentic AI for large-scale data integration and warehouse automation.
"The disconnect between AI capabilities and data readiness has become a critical bottleneck for enterprises," said Mishra. "Organizations invest heavily in AI tools that generate confident answers, but without a properly structured analytical foundation, those answers cannot be trusted for business-critical decisions. Our Centerprise AI platform addresses this by building both the conversational interface and the underlying data warehouse simultaneously, ensuring they remain synchronized throughout the lifecycle."
The webinar will demonstrate how organizations can build dimensional warehouses, connect data from multiple sources into unified data models, and implement skill files that provide analytics agents with data definitions, business context, and key performance indicators. Attendees will learn practical approaches to asking questions using business language and receiving charts, reports, and written summaries without writing SQL, while maintaining complete traceability to source data.
The Enterprise Data Foundation approach presented in the webinar enables data teams to consolidate warehouse construction, pipeline generation, and analytics into a single platform. This eliminates the need for multiple specialized tools and reduces engineering handoffs between teams. Early adopters of the methodology report significant improvements in warehouse development speed and maintenance efficiency.
The session targets data and BI leaders, CIOs, technology leaders, data engineering teams, and business analysts seeking to establish reliable AI analytics capabilities. Participants will gain insights into maintaining control and ownership of data, context, and governance while making AI responses transparent, traceable, and auditable.
Astera provides AI-powered data solutions that consolidate extraction, integration, preparation, and visualization workflows into a single platform. The company's Centerprise AI platform enables organizations to design, test, and deploy data warehouses, pipelines, and data models across structured and unstructured sources through conversational interfaces and agentic workflows. The platform supports hundreds of source connectors spanning databases, ERP systems, file formats, cloud storage, and APIs, with deployment options for both cloud-hosted and on-premises environments.
###
For more information about Astera, contact the company here:
Astera
Mashaal
+1 888-77-ASTERA
sales@astera.com
30721 Russell Ranch Rd, Suite 140, Westlake Village, CA, United States, 91362
