Xebia Articles

The most well-known benefits of SAFe, Scaled Agile Framework, are increased efficiency, improved collaboration, reduced time-to-market, and greater customer value. But, what if you have implemented SAFe and are not seeing these results? Serge Beaumont, Principal Agile Consultant & Trainer at Xebia, shares what often goes wrong and how to turn the tide. 

The inevitability of adapting automated tax reform under Direct Tax Function

Witteveen+Bos is an engineering and consultancy firm with 22 offices in 11 countries. Its global team of over 1,200 engineers is responsible for completing an average of 4,000 projects in infrastructure, water, the environment, and construction yearly. Witteveen+Bos aims to create sustainable solutions, maximum client value, and opportunities for its workforce's ongoing development.

An interview with Otto Schepers, Manager Digital Acceleration & Support Lead at Witteveen+Bos, conducted by Michael Maurer, Principal Digital Data Consultant at Xebia.

Introduction: 

Software as a Service has been expanding in its usage as more and more enterprises are adopting it. Snowflake's cloud platform emerged as one such SaaS data warehouse. It enables the storage and processing of data and offers analytical solutions that are flexible, fast, and easy to use. The difference between traditional data clouds and Snowflake is that Snowflake stands independent of database technology or big data software platform. It combines a SQL query engine and a native cloud architectural design. It has a 3 layered architecture including database storage, query processing, and cloud services as the key layers. Hence, as a user of Snowflake, you will have the functionality of an enterprise analytic database with special features and unique capabilities. 

Serious Gaming is increasingly used to train teams and to develop effective leadership in organizations. What benefits does this bring over traditional training in terms of knowledge, skills, and attitude? Where can you best apply Serious Gaming in your organization, and when would it be better to opt for traditional training? It is clear that our learning needs are changing. We want it to be faster, it has to be fun and different, and more impactful. What’s more, we want to challenge people and invite them to think and work out of the box from time to time. 

Almost everything we see around us has advanced technology embedded into it. One of such breakthrough technologies is artificial intelligence. Any machine that is "intelligent" can learn how to perform tasks and improve at them, an avenue explored by enterprises to their fullest. Global sending on AI and other cognitive systems will reach 57.6 million dollars in 2021 and 190 billion dollar industry by 2025. An AI platform is a space where you can train and host your machine learning models and make predictions about new data at your convenience. Google's Machine Learning Platform features a convenient location where you can do hassle-free development, with a faster production time, availability of no-code-based tools, and robust governance having interpretable models. 

The birth of big data occurred simultaneously with the web and internet when there was a creation of multiple avenues to model unique data collection methods, which analyze and store the massive amounts of structured and unstructured data and extract useful information from it. However, as time passed, data from web-based content was dwarfed by data generated by mobile devices and most recently, the Internet of Things. A record of 40 zettabytes of data was created by 2020 and the market is growing at a rate of 45% annually.

What does RPA mean?

Let's start with a hard and inconvenient truth: transforming your business is a highly complex undertaking with social, organizational, and technological factors at play. Many (research McKinsey 70%) organizations fail to deliver on their transformation's promises.