Oracle-driven finance teams today face increasingly complex challenges. In recent years, the finance function has had to adapt to become more flexible as they navigate market upheaval, global inflation, and rapid changes to technology. This year, an Oracle survey of CFOs reveals CFO’s top challenges include navigating the need to cut costs, retaining talent within the finance function, and focusing on more accurate forecasting.
The evolving market landscape is driving an urgent need for a unified EPM solution, as finance teams face increasing pressures from several fronts. Rapid technological advancements, heightened competition, and the growing complexity of global markets have made financial agility and real-time decision-making critical to maintaining a competitive edge.
As cloud environments evolve, so must the security measures that protect them. With Confluent’s latest enhancement—AWS IAM role integration for managed connectors—you can now adopt temporary security credentials, reducing both the risk of long-term credential exposure and the operational burden of key management. This feature tightens security and simplifies access management for your data flows between AWS and Confluent Cloud.
Some of the responsibilities of a team leader is to empower your team with the necessary tools and skill sets so that they can excel at what they do. According to the State of Quality Report 2024, some of the most prominent challenges QA teams face include a lack of time to ensure quality, difficulty in applying test automation, and frequent changes in requirements. Training and education is the key to overcoming such obstacles.
N+1 queries are a frequent issue in complex applications built with Elixir and Phoenix. These queries can silently degrade application performance, often going unnoticed until they've compounded into a significant problem. They can substantially increase web page load times, as each additional query adds overhead to a database, consuming more time and resources. That's why it's crucial to detect and resolve N+1 queries to optimize production systems.
Software testing is welcoming the upheavals in the digital world, including the emergence of AI, data analytics, cloud computing, and more. Businesses are engaging with more sophisticated testing versions like continuous testing, shift left, security testing, and more. That’s why a world aspiring for applied AI reports a CAGR of more than 7% post-2024. Therefore, businesses across industries unanimously agree upon the critical importance of software testing.
Figma is becoming the industry standard for digital design, despite being relatively new in the market. Within eight years from its launch, it has managed to win over 40 million active users across the globe. What’s driving Figma’s growth is its ability to make collaboration effortless, no matter where your team is.
We are thrilled to announce the general availability of the Cloudera AI Inference service, powered by NVIDIA NIM microservices, part of the NVIDIA AI Enterprise platform, to accelerate generative AI deployments for enterprises. This service supports a range of optimized AI models, enabling seamless and scalable AI inference.