Artificial Intelligence News for the Week of December 20
Nexla unveiled an integration with Nvidia NIM aimed at enabling customers to more easily develop and deploy AI models and applications.
Nexla unveiled an integration with Nvidia NIM aimed at enabling customers to more easily develop and deploy AI models and applications.
Nexla announced it is offering the simplicity of Nexla’s no-code data pipeline and RAG pipeline tools with NVIDIA NIM microservices.
Explore Unite.ai Interview Series with Saket Saurabh to learn what inspired him to co-found Nexla and about upcoming features and advancements in AI at Nexla.
Don’t panic. Nexla CEO Saket Saurabh explains the impact of GenAI on data engineers and how to stay ahead as it reshapes integration practices.
Saket Saurabh, CEO and Co-founder of Nexla, reveals his top 5 predictions for Generative AI (GenAI) in 2025 on Unite.ai. Don’t get left behind.
Nexla’s latest release enhances no-code AI, RAG pipelines, and data governance for enterprise-grade GenAI accessibility.
Nexla was named “a vendor to know” in CRN’s 2025 Big Data 100, recognized as one of the Coolest Data Management and Integration Companies driving innovation in big data, including data management, integration, analytics, and infrastructure.
Saket Saurabh, CEO and Co-founder of Nexla, joins Jennifer Pierce on Innovators Journey to talk about how Nexla continues to push the boundaries of AI and technology.
Co-founder and CEO at Nexla, discusses how data engineering is evolving to support generative AI—highlighting data quality, governance, and human-in-the-loop workflows for building trustworthy AI systems.
Nexla landed a spot on the DBTA 100 2025, a list recognizing the top companies shaping the future of data. This year’s list highlights leaders driving innovation in AI, data integration, and digital trust.
Nexla CTO Amey Desai shares how Nexla supports MCP, enabling secure, AI-native data integration through Nexsets and agentic orchestration without compromising standards.
Nexla CEO Saket Saurabh explains how data variety—differences in formats, sources, and structures—is a major reason AI initiatives fail to scale. You’ll learn about modern strategies like virtual data products and agentic integration.
Nexla is featured on DBTA Big Data Quarterly’s 2025 “Big Data 75,” recognized among the innovators driving progress in data collection, storage, and analytics.
Forbes recognizes how Nexla defines and enables automated data mapping—matching data fields across systems to reduce errors and fragmentation. By applying AI and machine learning to integration, Nexla helps make financial data flows more accurate and resilient.
Saket Saurabh, Nexla CEO, explains why enterprise AI’s future lies in context engineering: building the right data, memory, and workflows for smarter, more reliable AI.