Every organizational activity or interaction today generates data. This quickly creates large amounts of data at organizational and departmental levels, but data generation is only the beginning. No matter how much raw data you have at your disposal, you can only leverage it fully if you know how to process it correctly for your requirements. You can process data flows using one of two approaches: batch processing or batch processing.

Today, mobile apps are no longer a luxury but a necessity for businesses striving to stay competitive. Whether it’s an e-commerce platform, a banking app, or a fitness tracker, the expectation is clear: the app must perform flawlessly and scale effortlessly to meet growing user demands. The success of your mobile app hinges not just on its initial launch but on its ability to scale and perform consistently as your user base expands. Selecting the right tools to support this growth is critical.

The asset management firm’s tech business discusses how it enables data-driven investment decisions during Snowflake Summit 2024.

Imagine that you’re a healthcare provider who’s just treated a patient. It’s time to get paid for your services, but you don’t want to deal with endless paperwork and unnecessary phone calls. There’s a better and more streamlined way to handle it — the electronic way. Electronic Data Interchange (EDI) is responsible for providing just that.

Digital marketing tools aren’t just a convenience—they’re a lifeline. It may sound intense, but without the right tech stack, your business risks falling into the shadows while competitors soar ahead. Think about it – the right tools don’t just improve productivity, but they also help you do more with less, freeing up time for strategy over stress.

‍ The rise of artificial intelligence (AI) in testing is enabling more predictive and intelligent test generation, execution, and defect analysis. This shift aims to reduce the time and effort required for manual testing to enhance test coverage and improve the overall software quality. Justifiably, key insights from Fortune Business project the growth of the AI-enabled testing market from USD 736.8 million in 2023 to USD 2,746.6 million by 2030.

Believe it or not, there was a time when healthcare providers, global enterprises, Ecommerce stores, and other organizations used proprietary—and often very different—methods to communicate with other businesses for everything from invoices to purchase orders. You can maybe imagine how difficult communication between businesses was before the introduction of EDI.

What do developers really think about artificial intelligence (AI)? To many, AI is synonymous with innovation. While some noisy naysayers on the sidelines may cry the promise of generative AI (GenAI) is overhyped, the reality experienced by actual developers and leaders in the digital trenches working with GenAI and large language models (LLMs) tells a clear story: AI is a top priority in the enterprise today because it has already delivered real, tangible business benefits.

Every business has key customer behaviors it aims to drive — whether it's encouraging repeat purchases, promoting product upgrades or boosting add-on services. Yet, despite access to advanced marketing technology and rich customer profiles, most businesses still rely on broad, generalized lifecycle marketing campaigns that fail to engage with customers.