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As an industry built on data, financial services has always been an early adopter of AI technologies. In a recent industry survey, 46% of respondents said AI has improved customer experience, 35% said it has created operational efficiencies, and 20% said it has reduced total cost of ownership. Now, generative AI (gen AI) has supercharged its importance and organizations have begun heavily investing in this technology.

If you’re looking to build an app with realtime data APIs but don’t know which data source to use, you may find yourself struggling to get started due to the sheer amount of options available to you. In this blog, we’ll dig into some of our favorite free examples to choose from (it’s worth a quick note to remind you to check their usage license and free tier allowance). Below are data sources split into transport, weather, and currency sources.

One example of a modern e-commerce marketing automation platform is Drip, which has different powerful features designed for businesses’ prosperity. In 2013, Drip came into existence and was later bought by Leadpages in 2016. It aims at making the marketing procedure for an internet shop simpler. It offers SMS message automation and streamlined email marketing campaigns for customer-centric individualization.

In 2024, the robotic process automation (RPA) market will shift due to four major trends. These include (you guessed it) artificial intelligence’s effect on RPA, shifts in the market landscape, changes to RPA’s place in the larger automation landscape, and new data management methods.

AI automation is changing the game in business operations. For many companies, global competition is heating up fast on an increasingly crowded playing field. In the past, business leaders knew their competitors and how they operated. But now, executives across industries have to look over their shoulders for new challengers that arrive with surprising speed from virtually any corner of the globe.

As your organization grows, so does the complexity of managing data. It’s a critical challenge—get it wrong, and you’re facing a world of siloed and inaccurate data, compliance nightmares, and security risks. The consequences of poor data governance are not just operational hiccups; they can directly impact an organization’s performance. If you’re looking for a solution to tackle these challenges head-on, you’re in the right place.

There are a lot of self-service data platforms out there. And picking the one that best fits your organization’s needs can be challenging. In this article, we’ll discuss what you should expect from a self-service data platform and what features make it a good choice.

We’re excited to announce a new addition to our Kong Konnect EKS Blueprint Family: the Kong Konnect Mesh EKS Blueprint Add-on to deploy your Mesh Zones. Deploy your zones securely on AWS with the new Mesh Manager offering in Kong Konnect. It gives you an opinionated install of Kong Mesh to quickly ramp up on Kong Konnect’s Mesh Manager on Amazon EKS. Let’s dive in.

Parallel processing in computers is like having an efficient team working on different parts of a task simultaneously. In traditional programming, tasks are executed one after the other, like solving a puzzle piece by piece. However, parallel processing divides the task into smaller chunks, and these chunks are handled simultaneously by multiple processors or cores. Python provides modules that allow programs to leverage multiple processor cores efficiently.

Dear our valued customers, users, and partners, Cheers to a New Year filled with exciting possibilities! We hope you welcomed 2024 with joy and surrounded by your loved ones. As we close the chapter in 2023, we're excited to share a snapshot of the year's dynamic journey with you. From breaking through challenges to introducing cutting-edge features, your partnership has been key to our success.