Data Platform for AI Agents: 7 Capabilities to Demand
A data platform for AI agents must do 7 things: connect, abstract, govern, deliver, act, observe, secure. Use this checklist to evaluate any vendor or stack.
Nexla was recognized in Gartner’s 2024 Emerging Technology AI Report 2024 as a standout vendor that enables “citizen data engineers” to access and use data.
Explore groundbreaking GenAI applications for poverty alleviation showcased by Nexla at the Gartner Data & Analytics Summit 2024. Discover how our data integration platform empowers AI teams.
From GenAI prototypes to production: the contributions of integration engineers in model management, vector pipelines, RAG workflows, GPT quality control, & LLM governance.
In today’s data-driven world, organizations are increasingly relying on data integration to manage, move, and…
As we step into 2024, we partnered with Database Trends & Applications (DBTA.com) to take…
Optimize Generative AI success with these key capabilities. Steer clear of ‘garbage-in, garbage-out’ scenarios by adopting the right technology stack.
Insights from AWS re:Invent 2023 on how data products and modern architecture help asset managers use unstructured data for better decisions.
Updating ETL / ELT data pipeline practices for more scale & efficiency Today, data comes…
With OpenAI’s unveiling of customizable, no-code GPTs for specialized applications, the question arises: How can…
Generative AI (GenAI) is a type of artificial intelligence that can generate new data, such…
During SuiteWorld 2023, Smarte Carte and Arcadia Cold joined Nexla’s CEO to share their first-hand…
Today, we’re super-excited to bring a major design update to the Nexla UI! Using our…