Digital Transformation Hub

Digital Transformation Handpicked Articles

Mixed Reality Businessman Office
Jun 22 4 mins

How Mixed Reality Can Help Entrepreneurs Adapt To Sudden Market Changes (like pandemic)

As the world moves closer to the digitalisation of all aspects of daily life, it seems

159 Views
Jun 17 6 mins

Digital Transformation – Start Your Online Learning Journey

  Opting For An Online Digital Transformation Course During Home Confinement Over six million Americans were pursuing

153 Views
May 28 5 mins

Next wave of digital transformation requires better security, automation

F5 report highlights the challenges of digital initiatives, including a struggle to secure multi-cloud environments and

218 Views
AI NLP
May 26 3 mins

Blockchain and NLP, the Potential

First the definitions, for the learners (like me).  Blockchain is a distributed and decentralised database of

1680 Views
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

1632 Views
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:

247 Views
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

296 Views
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

506 Views
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

640 Views
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

219 Views
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

205 Views
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

217 Views