Systems | Development | Analytics | API | Testing

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FI Transformation: T. Rowe Price's & State Street's Automation Journeys

Discover how Appian’s process automation platform has transformed technology procurement and legal departments, all aimed at catalyzing transformation within the organization. Our expert panel will delve into the adoption journey and share invaluable best practices for maximizing value across teams.

Unify your data: AI and Analytics in an Open Lakehouse

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses. Nearly two years ago, Cloudera announced the general availability of Apache Iceberg in the Cloudera platform, which helps users avoid vendor lock-in and implement an open lakehouse. With an open data lakehouse powered by Apache Iceberg, businesses can better tap into the power of analytics and AI.

Ensuring Precision: Software Testing for Nanotechnology Innovations in Healthcare and Life Sciences

While AI has garnered the attention of many industries, nanotechnology still has not lost its significance in healthcare and life sciences. Promising research continues to drive the exploration of nanotechnology for health and wellness applications. Yet, an often-overlooked element is the crucial role of software testing in this field.

How to Fix the Array Index Out Of Bounds Exception in Java

The ArrayIndexOutOfBoundsException is a runtime exception in Java that occurs when an array is accessed with an illegal index. The index is either negative or greater than or equal to the size of the array. Let’s put that in simpler terms with an analogy. Imagine you have a row of five boxes lined up in front of you. Each box has a number on it. If you want to put a toy in one of these boxes, you have to say which box number you're putting it in. For example, "Put this toy in box number 2.".

A Complete Guide to Data Analytics

Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods.