In the new age of Industry 4.0 the shopfloor is no longer an isolated environment. It’s the heartbeat of manufacturing operations, responsible for producing, monitoring, and refining goods. But since the lines blur between operational technology (OT) on the shopfloor and information technology (IT) in the enterprise, integrating these systems has become a formidable challenge.

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An inside look into how we use our own platform to bring generative AI from concept to execution.

From AI to real-time insights, learn how Saks, Paylocity and Dropbox are using Fivetran to unlock efficiency and scale their data operations.

In the digital era, data integration is not just a luxury—it’s a necessity for efficient business operations and informed decision-making. With data stored across different platforms, applications, and cloud environments, businesses need tools that can help them unify these disparate data sources. MuleSoft and ETL are two commonly discussed solutions in the data integration space, but they serve very different purposes.

In the world of data analysis, handling vast quantities of information across diverse data sources efficiently and securely is crucial. Snowflake, a cloud-based data platform, has revolutionized how analysts manage and derive insights from data. Paired with Integrate.io's ETL (Extract, Transform, Load) capabilities, the process of working with Snowflake data becomes streamlined, enabling data analysts to focus on generating valuable insights instead of dealing with the complexities of data movement.

Learn how Fivetran’s Hybrid Deployment helps enterprises conquer data silos, achieve security and build a strategy for future growth.

At API Summit 2024, a common theme covered was how there's no AI without APIs. This couldn’t be more true for Writer, the full-stack generative AI platform for enterprises — and a notable user of the Kong Konnect unified API platform. Writer recently launched AI Studio, billed as “the fastest way to build generative AI apps.” AI Studio uses Writer API, Writer Framework, and Writer No Code to give people enterprise-grade generative AIs they can put in their own apps and services.

The barrier to entry for building practical generative AI is lower than you think, but you have to follow the right steps.