Published September 15, 2022
Introduction
Both Artificial Intelligence and Machine Learning are complex things. There are so many things to know. These days human life has changed because of AI. So, before understanding the differences, let’s know about different factors.
Published September 6, 2022
Introduction
In this era, machine learning is important. Machine learning helps in business Management operations and understanding customer behaviors. It also helps in the development of new products.
Every leading company is shifting towards machine learning.
Published July 19, 2022
New Analyst Report Details Emerging i2M Sector, Market Landscape, and Key Insights for IT and Business-level Buyers
"Nastel is uniquely placed when it comes to understanding the configuration information and message content of messaging middleware and integration infrastructure”
Nastel Technologies, the world’s #1 i2M (Integration Infrastructure Management) company, today announced that it has been rated as a leader in GigaOm’s new Integration Infrastructure Management & Transaction Observability Sonar Report.
Published November 1, 2021
The Internet of Things (IoT) is a wonderful marketing term given to devices that are connected to the internet. Today everything from light switches, air conditioners to door locks have the option of being internet-connected.
Now that multiple companies have created “tags” that you can add to anything from keys to cars and packages, anything can be tracked.
Published October 12, 2021
Integration is now the #1 IT expense category at many enterprises and new complexities increase the burden on Service Delivery, CI/CD, IBM MQ administration, and other “integration professionals” every day. Your enterprise has Microservices, Mobile, Mainframes, Cloud, and more applications and application updates than you can count and it takes the routing of transactions, messages and more through a rapidly growing integration infrastructure layer to make it all work together. That is now a trend.
Published February 25, 2021
The classic operations toolkit revolves around monitoring sets of physical properties (such as volume, speed, capacity) and having smart people build complex algorithms that describe when an event threshold has been breached.
As systems continue to become more advanced with more moving parts and more flexibility as to how they are combined, these algorithms have become too complex for the event the smartest teams to manage, so the response has been to deploy advanced data analytics with machine learning AI capabilities to augment these teams.
