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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.

How Does Machine Learning Work?
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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”

— Saurabh Sharma, GigaOm

 

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.

Nastel Recognized as Leader in Integration Infrastructure Management & Transaction Observability by GigaOm
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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.

What can you learn from IoT with i2M – Part 1
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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.

Future Trends & Technology for Your Integration Infrastructure
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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.

Post-Pandemic Operations