AI & Machine Learning

The Last Mile of AI has two components. One is proper location of the AI recommendation, and the other is a program building trust in the business users. Failure to do both means your AI project will almost certainly fail to achieve its objectives. A good AI model is only the starting point of operationalization. The Last Mile of AI dictates success or failure.

Computer Vision (CV) is nowadays one of the main application of Artificial Intelligence. This article will walk you through some of the main steps which compose a Computer Vision System.

The most important thing in getting machine learning to work properly is training data. And even more importantly, the skills required to make a good training set have nothing to do with math, computers, or engineering.

Don’t trust machine learning and AI blindly, because the way you build effective and reliable ML/AI solutions is to force each solution to earn your trust.

Training with synthetic data is an increasingly popular way to quench the thirst of data hungry deep learning models. Learn how to train a computer vision model (AI) to detect sub-components of a Raspberry PI using only synthetic data (CGI).

Labeling is a very tedious task — especially if you want to provide a sufficient amount of data for a deep learning algorithm. Have a look at what are important questions to ask yourself before starting the labeling and the tools that are available to you.

With the increase in demand and interest in AI, many new trends are rising.
This article discusses the latest AI trends that will be prevailing in 2021. To get the most from AI incorporation, organizations must focus on the latest trends and research to develop and implement the next best solution for their business.

In enterprise IT, to democratize AI means to make it accessible for every organization or even to every person within the organization. Such dissemination of AI is indeed beneficial in many respects.

Chatbots which are AI agents are helping us in multiple ways. Different industries are getting benefit of these chatbots by adopting their intelligent assistance. This article will discuss and touch some of the areas where chatbots are leaving their huge impact.

Tiny machine learning (tinyML) is the intersection of machine learning and embedded internet of things (IoT) devices. The field is an emerging engineering discipline that has the potential to revolutionize many industries.

The application of artificial intelligence (AI) and machine learning (ML) to IT infrastructure and operations (I&O) – known as AIOps – is a hot trend in the enterprise and service provider world and for good reason: it can turbocharge IT operations. Done correctly, AIOps increases IT operational accuracy, agility and efficiency.