It is once again time to look back and evaluate the struggles and successes of the previous year and then build those lessons into the year to come. Part of how we do that here at DATAVERSITY is to look at the content consumed by the community over the year and evaluate what was hot […]
Training Artificial Intelligence Systems
Computer vision systems are driving some incredible developments. Convolutional neural network (CNN) algorithms are most commonly applied to analyzing visual imagery. That involves the “classification, detection, [and] segmentation of entities in the 2D space and analyzing temporal information in the 3D space, such as Action/Video,” says PR Krishan, VP and Global Head, Enterprise Intelligence Automation, […]
Blockchain and Artificial Intelligence: Driving the Fourth Industrial Revolution
The Fourth Industrial Revolution, as an expression, was originally introduced by Klaus Schwab, the World Economic Forum’s Executive Chairman. He used it in a 2015 article published in Foreign Affairs. Mastering the Fourth Industrial Revolution became the World Economic Forum Annual Meeting theme a few years ago. The Fourth Industrial Revolution describes the fundamental changes […]
Semantic Web and Semantic Technology Trends in 2020
One way or another, it’s all about graphs. And machine learning. And AI. And what their connections to each other are. Welcome to the world of semantic technology in 2020. The year ahead largely picks up the pace on what industry experts predicted would happen in 2019. Graph technologies have finally become mainstream, says Andreas […]
Deep Neural Networks, Big Data, AI, and the Road to Autonomous Systems
Autonomous driving – green light, red light, or yellow? Earlier this year Tesla CEO Elon Musk said the future is now. By the middle of 2020, he said at an event for investors, Tesla’s autonomous system will have improved to the point where drivers will not have to pay attention to the road. He revealed […]
Artificial Intelligence and Machine Learning Trends in 2020
“Artificial Intelligence and Machine Learning have reached a critical tipping point and will increasingly augment and extend virtually every technology enabled service, thing, or application.” – Gartner An article on the future of AI and machine learning mentions that while cloud technology offers “agility to business processes,” artificial intelligence (AI) and machine learning (ML) technologies […]
Challenges of Data Quality in the AI Ecosystem
Artificial intelligence (AI), encompasses the broad fields of data capture, data storage, data preparation, and advanced data analytics technologies. In other words, AI systems are not limited to a single aspect of Data Management; rather, they are increasingly penetrating any and every aspect of business through allied data technologies like machine learning (ML), deep learning, […]
Smart AI Means Smart Data Prep
Every company wants to put artificial intelligence (AI) to work. Its potential seems limitless. Big business benefits at the snap of a finger. But then reality hits: the value that AI can deliver isn’t easy. Even IBM, a pioneer in the early age of AI (or AI’s rebirth if you want to trace it back […]
The Future of Blockchain
The media focus around blockchain over the last five to ten years has shifted from the currency bitcoin to the underlying database technology, which is a distributed ledger technology(DLT), now used in a wide variety of use cases. So, what is the reason behind blockchain suddenly gaining so much traction? McKinsey Report’s Blockchain’s Potentials, Limitations, […]
It’s Time to Productionize Data Science
To make Data Science part of business value creation, business users have to be part of the Data Science lifecycle. They need to be able to go back to Data Science teams and provide feedback so that the Data Science process reflects their requirements — and quickly. Models may need to be updated or functionalities […]