Digital Transformation

Data Science Project Lifecycle

Data Science Project Lifecycle

Data Science is the art of combining data, science and technology to solve a business problem. There is a general misconception that Data Science is all about applying cool statistical/machine learning algorithms.  However, Data Science involves several other critical steps before and after the use of statistical/machine learning algorithms. In this post, we will take a brief look at the life cycle of a data science project.
What is Deep Learning? Simple Explained

What is Deep Learning? Simple Explained

Deep learning is a type of machine learning in which a model learns to perform classification tasks directly from images, text, or sound. Deep learning is usually implemented using a neural network architecture. The term “deep” refers to the number of layers in the network - the more layers, the deeper the network. Traditional neural networks contain only 2 or 3 layers, while deep networks can have hundreds.

AI Act: A Risk-Based Policy Approach for Excellence and Trust in AI

AI Act: A Risk-Based Policy Approach for Excellence and Trust in AI

The EU Artificial Intelligence Act is the first-ever comprehensive attempt at regulating the uses and risks of this emerging technology

What is the difference between DevOps and DevSecOps?

What is the difference between DevOps and DevSecOps?

DevOps is a methodology aiming at establishing closer collaboration between programmers and system administrators in the software development process. A DevOps engineer is a specialist working on the intersection of these two fields. 

Lotus Evija “porous design” for an electric hyper car

Lotus Evija “porous design” for an electric hyper car

Well…the articles’ title summarize my vision and impressions about this masterpiece! How is it possible to be not impressed by a car that changes his personality depending by the viewing angle?

Cyber Security: How to stay ahead in 2022

Cyber Security: How to stay ahead in 2022

We joined the last Twitter Chat on ‘Cyber Security: How to stay ahead in 2022’, the virtual conversation along with Kingston Cognate, hosted by Industry Expert Sally Eaves, on February 9th at 4pm GMT. Below are our thoughts and some other insights.

Building trust in IoT devices with powerful IoT security solutions

Building trust in IoT devices with powerful IoT security solutions

Securing the Internet of Things (IoT) does not require a radically new, complex set of ideas and principles.  What it needs is an evolution of best practices that have been built up over many years in all areas of IT security.  The starting point for securing an IoT deployment should be the principles of security by design.

Why ModelOps Is an Enterprise-Level Capability Under the CIO’s Accountability

Why ModelOps Is an Enterprise-Level Capability Under the CIO’s Accountability

We all have heard of DevOps and the transformation it has brought to application delivery in enterprises. However, there is another equally powerful emerging capability, ModelOps, which can give the organization of the so-called Enterprise AI a competitive advantage too.

Model Operations for Secure and Reliable AI

Model Operations for Secure and Reliable AI

Artificial intelligence and Machine Learning are expressing incredible potential in various application fields; however, very few companies engaged in a 4.0 transition path can successfully implement these technologies in business processes. What needs to be done to make such applications profitable?

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