Xebia Articles

India’s Tax Function has gone through substantial changes in the last 4 years. The transformations have taken place significantly to keep up with social transformation, globalization, and digitization.

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.

How to Be Ready for the Future? Invest in Sustainable Growth. Invest in the Workforce of the Future.

Ask CHROs how much time and money they spent on finding the right person for a job - they will admit it's quite a lot. A large part of HR's budget will go towards recruiting and onboarding people to introduce new skills and competencies. But what about developing the capabilities of your current team? Why is that option so frequently overlooked?

Data is the new gold, and becoming a data-driven company is at the top of many companies' change calendars. However, transforming your business proves to be challenging. It requires great alignment across many layers and effective collaboration between Business, IT, and Data Science.

Shifting paradigms unlocks new possibilities. The COVID-19 pandemic has been a great case in point, showing that being Digital and Agile is what differentiates between those that adapt, and those that fail and become irrelevant as part of a natural evolution process. Still, most companies are not able to take advantage of this shift. Often, a clear shared vision to build a strategy and set concrete goals and expectations is missing, diluting the value delivery down in the organizational trenches. Furthermore, the organization often gets stuck in politics, individual motives, and human biases, also known as a ‘social strategy’, disabling, and debilitating the ability for change to be manifested in the desired behaviors. In many cases, the leadership shies away from making big moves and instead sticks to the status quo. This results in semi-cooked or no digital and agile change. This is understandable, since managing change amidst complexity is risky and requires bold moves and significant time investment from the leadership.