Industry leaders sat down to explore the need for company-wide AI readiness, knowledge graphs and using data curation to drive smarter business decisions.
George Fraser, CEO of Fivetran, Bob Muglia, former CEO of Snowflake, and Steve Jones, EVP of Capgemini discuss the challenges and solutions to creating mature, production-ready generative AI models. It’s not just about algorithms or data — success lies in effective data management.
EDI stands for electronic data interchange, the automated process of exchanging business documents, such as purchase orders (PO) and invoices, between a company and its trading partners. EDI standards, like ANSI X12 and EDIFACT, ensure that these documents follow a consistent structure, streamlining communication and accelerating transactions.
In today’s data-driven world, businesses rely on efficient data management to remain competitive. ETL (Extract, Transform, Load) processes are critical in ensuring that data from multiple sources is collected, transformed into a usable format, and loaded into centralized systems for analysis. This enables organizations to unlock valuable insights and make informed decisions.
Did you know? In the past decade, mobile app usage has evolved and grown tremendously all around the world. Not only that, according to a recent study, the SaaS industry has progressed from $31.5 billion to an estimated $171.9 billion in 2022 as per the report published by Exploding Topics. That equates to around 5x growth in only seven years. That’s incredible, isn’t it?
Fivetran's newest innovation, Hybrid Deployment, allows customers to run security-restricted pipelines within their own secure network or VPC, at no additional cost.