Nastel Technologies, a global provider of messaging middleware-centric performance and transaction management for mission-critical applications, has officially launched its new and improved website. Founded in 1994, Nastel has built a reputation for excellence and is used by some of the world’s top brands, including Dell Technologies, Citi, BlueCross Blue Shield, and more. With this launch, the company takes another step toward providing an outstanding customer experience.

At Nastel Technologies, we strive to deliver new ways to integrate your technology stack and make your applications and platforms work better for your needs. In fact, we have almost 30 years of experience doing just that through the development of powerful yet flexible messaging middleware solutions.

The abundance and diversity of technologies we possess are among the most essential aspects of our rapidly progressing, modern society. From one of the most basic examples in our everyday lives, mobile phones, to the hot topic of Machine Learning and artificial intelligence, technology is constantly a part of everyday life, whether we know it or not.

ML-enhanced endpoint protection can keep schools safe from cyberattacks. Here are three benefits district leaders will find when investing in this advanced technology. Long before the pandemic, K–12 cyberattacks were a serious concern. The shift to remote learning has only increased the danger.

With baseball, hockey and football seasons in full swing, a different sort of sport is playing out among the world’s largest technology companies. Amazon.com Inc., Google and Microsoft Corp. are pouring tons of money into promoting their cloud computing products during television’s premier athletic events.

AIOps was once considered just a back-office fundamental, a solid suite of tools simplifying routine security and network monitoring tasks that primarily served the IT shop. The accelerated pace of digital transformation is changing that. Now, IT service and operations teams are in the spotlight and tasked with enabling business performance that help their companies provide seamless digital experiences and evolve in a fast-changing economic environment.

If you’re aiming for continuous improvement with your DevOps effort, prioritize these skills. They’re critical to helping teams conquer cultural and technology challenges It’s no longer a question of if organizations need DevOps, but rather when they should adopt it, according to the DevOps Institute Upskilling 2021 report.

Our shared future has always been profoundly enigmatic. Hoary seers from days of yore would never have predicted everyday life as it is now. It would have been impossible to guess most of what has already happened in the 21st century. Peering into crystal balls would have proved equally futile. Even an attempt to make well-educated guesses about possible issues with big data would likely have been way off the mark.

Experts from all industries admit the need to use and analyze data, especially generated in real-time. Therefore, business decision-makers need to know how these processes occur, under whose control they are and how to optimize them. But what technologies can help companies better cope with masses of data?

New research by Inmarsat, the world leader in global mobile satellite communications, reveals that investment in the Internet of Things (IoT) is set to overtake cloud computing, next generation security, big data analytics and other digital transformation technologies in the near future. Respondents drawn from multiple industries reported plans to invest the greatest proportion of their IT budget on IoT projects over the next three years.

The digital transformation that many companies underwent in 2020 continued in 2021 at a rapid pace as the pandemic continued to impact the world. While many of my digital Top transformation trends predictions from a year ago were proven correct, others didn’t quite come to fruition and were displaced for more urgent and strategic needs as the pandemic persisted. What does this mean for 2022?

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.

Financial institutions and their service providers have traditionally owned and run their technology infrastructure on their own premises or in their own data centres. However, that’s changing with the advent of powerful public cloud services, such as Amazon Web Services, Google Cloud and Microsoft Azure.

With the rise and advancement of technology and artificial intelligence, there is no question that new rationalists are joining this group to enforce their ideas. However, most Rationalists and highly successful people do not hold back anything, and maybe this is because the technological and financial industry embraces disruptors of the norm. One rationalist concept adopted by the technology and financial sector is Fintech.

For decades, the development and operations teams within companies were siloed. Developers created the software. Operations tested and deployed it. But in 2009, IT consultant Patrick Debois coined the term “DevOps,” a merging of development and operations to improve communications, establish best practices and create feedback loops for organizations to keep improving the overall process.

One of the questions I get asked a lot by customers, prospects, and partners is, “Will AIOps make them irrelevant?” To them, AIOps is often equivalent to automated remediation; an AIOps system automatically detects an incident and kicks off a remediation process in response to this incident, knowing exactly what process will solve the problem. IT is out of the loop, data centers and NOCs just keep humming along unattended, end users are none the wiser.

How do you determine whether one multifamily deal is better than another? Let me start by saying that a deal is only as good as the assumptions you’re making as an investor, and assumptions are not guaranteed to materialize. As a real estate investor, operator and syndicator through my company Blue Lake Capital, a significant part of our analysis when considering properties to invest in is looking at how the property performed in the past.

Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and online services don’t even require a thorough knowledge of machine learning. However, even easy-to-use machine learning systems come with their own challenges. Among them is the threat of adversarial attacks, which has become one of the important concerns of ML applications.

IT teams are under immense pressure to work faster than ever and deliver better results—at less cost. And they’re struggling to do it all as their organizations take in rapidly soaring volumes of data that must be captured, analyzed and deployed to improve business outcomes.