AI & Retail: What’s Lined Up for a Post-Pandemic World
E-commerce platforms are currently adopting a cautious approach to the situation and focusing on delivering essentials – though things are currently erratic as everyone is waiting for the crisis to tide over.
What’s Keeping Datacenters Afloat During the COVID19 Pandemic?
While in many cases this pandemic has proved to be a roadblock, it has also taught people to be flexible and adopt technologies that can keep the show going on.
The Rise of Cognitive QA in the IT Industry
In the future, the delivery cycles will continue to shrink and the pressure on testing will increase. Continuous testing in such times might not be able to keep pace with this.
Extending a Ticket Analyzer for AI-based Alert Management in Various IoT Domains
For quite some time now, data scientists and machine and deep learning (ML/DL) experts are using different techniques to automate triaging and analysis of tickets in various hi-tech sectors.
[Infoblog] Machine Learning
Machine Learning, or ML as we call it, is not a new entity. Often, ML and Artificial Intelligence (or AI) are used interchangeably as if they are the same terms. But that’s not the case. You’ll see why through this discerning InfoBlog.
Biomedical Image Analysis and Machine Learning
These techniques help in the understanding of the disease as well as initiation and evaluation of ongoing treatment. Apart from this, the dataset of these images is used in further analysis of such diseases occurring around the world as a whole.
Search in Artificial Intelligence
Search is a key part of many AI problem-solving strategies that assist in exploring the problem spaces. As explained by Peter Norvig “Normal programming is telling the computer what to do when we know what to do. AI is when we tell the computer what to do when we don’t know what to do.”
Understanding Supervised Machine Learning
Machine learning is about using data to build intelligent artefacts that learn over time. It involves collecting and analysing large amounts of data to extract information using various computational structures and algorithms.
Storage Analytics is becoming more complex – can AI and ML help?
Physical servers and storage equipment are a data center reality. How can we ensure that the workloads are distributed correctly across this infrastructure?AI and Machine Learning can come to the rescue here as well. With these technologies, data centers can distribute workloads equally and efficiently across these servers.
7 Sectors that are getting transformed by AI
There’s no longer any room for doubt that AI is transforming how the world operates. The effect of AI will only become more and more pronounced. Experts predict that the use cases of the future will be no different from the stuff sci-fi movies are made off. The question is, how will it disrupt your business model?