Financial planning and analysis (FP&A) is recognized as an essential tool for driving business success. At a time when agility has taken center stage, though, FP&A is giving way to the new discipline of extended planning and analysis (xP&A). Why? Because in an increasingly digital landscape where agility is paramount, actionable real-time feedback is essential.

What are the differences between generative AI vs. large language models? How are these two buzzworthy technologies related? In this article, we’ll explore their connection. To help explain the concept, I asked ChatGPT to give me some analogies comparing generative AI to large language models (LLMs), and as the stand-in for generative AI, ChatGPT tried to take all the personality for itself.

Modernizing legacy systems is often a daunting task, often filled with risks and uncertainties. The Strangler Pattern offers a proven, incremental approach to replace these outdated systems by gradually building new features around them, eventually phasing out the old system. The Strangler Pattern is a software modernization strategy that incrementally replaces parts of a legacy system with new functionality, allowing both systems to coexist until the legacy system is fully phased out.

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?

The new contribution analysis model in BigQuery lets you analyze metrics of interest from your dataset across defined test and control subsets.

Kubernetes has transformed how developers build, test, and deploy applications, providing a consistent platform for managing containerized workloads. Setting up efficient Kubernetes clusters is crucial for streamlining the development process, reducing time-to-market, and ensuring that applications run reliably from development to production.

In today’s data-driven landscape, businesses must continuously optimize their billing systems to stay competitive. Prepaid billing, where customers pay for services upfront before use, offers a flexible solution that benefits both companies and users. By ensuring immediate revenue and minimizing unpaid invoices, prepaid billing empowers businesses, while users enjoy greater control over their spending.

Today is Day 3 of Launch Week, and we are excited to announce not just one, but two new regions are generally available to deploy your low-latency AI workloads, full stack applications, APIs, and databases globally! Join us in welcoming Paris and Tokyo to the Koyeb platform and to a growing list of global locations where you can deploy your applications! As of today GA locations now include: Paris , Tokyo , Washington, D.C. , Singapore , and Frankfurt.

According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making. More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision. For that reason, Cloudera is evaluating a new line of business: Cloudera Integrated Data and AI Exchange (InDaiX).

Imagine you’re running a complex, distributed system—everything seems smooth until, without warning, a sudden failure brings the entire operation to a halt. What caused it? How can you prevent it from happening again? This is where chaos testing comes in. Chaos testing, or chaos engineering, is a proactive approach to discovering system weaknesses before they turn into catastrophic failures.