Systems | Development | Analytics | API | Testing

Customers can solve marketing analytics, data governance and data sharing challenges with cross-cloud analytics.

Whether inflation, global conflict or supply chain disruption, 2022 has been full of significant events that have fundamentally impacted the business landscape. The undercurrent is an accelerating de-globalization process. But this isn’t just geo-political in nature; the re-distribution of power and fragmentation of data are inextricably linked. As a result, data-driven businesses are having to adapt to a more distributed world – fast.

For the next interview in our series speaking to technical leaders from around the world, we’ve welcomed Bryan Ovalle, CEO of Hello Llama AI. Bryan solidified his love of technology studying at Carnegie Mellon University and has spent his career leading from the frontlines of business for leading companies, combining his passions for tech and business to serve and advance P.I.E. (People, Impact, and Empowerment).

Deliberations about defining your data approach often revolve around an offensive vs defensive data strategy. Here, an offensive strategy is focused on driving positive outcomes through increased revenues and profitability or by providing an enhanced customer experience. The primary objectives of an offensive data strategy are typically tailored to the product or business side of the organization, prioritizing AI and analytics use cases to drive superior commercial or financial outcomes.

The FIFA World Cup 2022 is nearing its end, and the final game promises to be a nail biter. What started with 32 countries battling it out for close to a month, will now culminate in a play-off between Argentina and France. FIFA projects more than 5 billion people to tune in for the tournament, perhaps making the World Cup Final 2022 the most watched event of the year!

With today’s accelerated pace of delivery, you need to manage dev speed while keeping high-quality ships. This requires a focus on both quality assurance and development into quality engineering. These two goals can often be at odds without a robust system for process and testing.

This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes.

The Java programming language is a high-level, object-oriented language that enables developers to create robust, reusable code. Java is known for its portability and platform independence, which means that Java code can run on any system that supports the Java Runtime Environment (JRE). Java was originally developed by James Gosling at Sun Microsystems in 1995. Since then, the language has undergone several changes and has become one of the most widely used programming languages in the world.

In this tutorial, learn how to use Python to interact with the Discord API—and build a bot using Flask.

The customer is a large India-based financial services and banking company with over 700 branches across India. It is one of the first banks in India to achieve full networking of its branches through its Core Banking System. The Bank was also one of the pioneers in deploying ATMs, Check Deposit Kiosks, Internet Banking, Mobile Banking, and other digital technologies that provide its customers with automated banking services.