Digital Transformation Hub

Digital Transformation Handpicked Articles

As computing capabilities continue to increase and handle higher complexity, computers are able to run applications that take into account the features of human brains. Recent research on Intelligence Process Automation shows us that the implementation of digital automation could increase the success rate of transformation projects by 70%. For example, the use of Robotic Process Automation (RPA) can help organizations earn up to 4 times the ROI (Return On Investment), and the conscious and effective adoption of AI can increase business productivity by up to 40%. In order to remain competitive, modern companies must keep pace with the digital revolution, exploiting the use of these smart technologies and integrating them into corporate digital networks. The huge amount of data generated can be processed and transformed into strategic information for the benefit of production and, therefore, of the business. But how is it possible to transform the collected raw data into valuable commercial business information? When predictive analyses are considered important for business purposes, those in the interdisciplinary field must use scientific methods, processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data. We call this field Data Science and it is related to data mining and Big Data. A Data Scientist is responsible for extracting, manipulating and generating predictions from the data. Here the question will arise: why should businesses utilize data scientists? There is enormous value in data processing and analysis—and that is where a data scientist steps into the spotlight. An example of adding real value for a company is the creation of predictive models that combine data from all connected areas. In this way, data scientists know how to get actionable insight out of gigabytes of data and thus unlock its power to drive business value.
Apr 8 7 mins

How Data Science is Driving Digital Transformation Now

Introduction: A Clear Digital Vision In an increasingly competitive world, we should have a deep understanding

heuristic evaluation ai
Mar 24 15 mins

Heuristic Evaluation in the age of AI-driven Tech

A quick and cheap way of getting usability evaluation done efficiently without ignoring AI.   TL/DR:

data science stage 5 - analytic integration
Mar 23 1 min

The 5 Stages of Data Science Adoption

“Some companies are built for data science. Others need to make some serious infrastructure changes in

smart port ecosystem
Mar 19 4 mins

Smart Port Silo vs Ecosystem

Are we getting closer to true Smart Ports and Logistic? The answer to this question very

steps to do before digital transformation
Mar 18 5 mins

Why What Happens Before Digital Transformation is the Key to Success

  While you may consider yourself fully prepared for the new digital transformation, that might not

Mar 13 1 min

Why is the healthcare industry still so bad at cybersecurity?

“Many articles about cybersecurity risks in healthcare begin with descriptions of live simulations (so when in

Mar 13 1 min

Generalists vs. Specialists in Data Science and Analytics

“In the Data Science and Analytics community, specialists are heavily favored over generalists — that’s just

Mar 12 1 min

The Data Science Revolution: 5 Things We Believe

“Summary Data science makes our picture of the world both more detailed and more comprehensive. Big

Mar 12 1 min

Start Your Digital Workplace Journey With Small Steps

“The phrase “digital workplace” has become so common in the modern business environment that we may

Mar 12 1 min

China’s Digital Silk Road (DSR): the new frontier in the Digital Arms Race?

“History is littered with geo-political conflicts, unfortunately many used physical assets and intelligence networks to subdue

Mar 11 1 min

How AI could benefit mental health and well-being in the workplace

“Work-related mental health has become a pressing issue for businesses globally. In the UK, a government-backed

Mar 10 3 mins

Key Ways to Avoid a Scope Creep Nightmare in your Digital Transformation Projects

The project management of digital transformation can easily turn into a horror story (beware, beware the