It’s true that AI and machine learning have already provided us with some opportunities to transform entrenched methods of recording and monitoring communications in regulated industries. However, to date, most companies’ injection of AI has been limited and solutions have been piecemeal. But that’s all about to change as the rapid expansion in the applications of AI in compliance is just around the corner.
Recent news about Log4j has enterprises and vendors scrambling for information and answers, including customers of messaging middleware and Integration Infrastructure Management (i2M) products. Nastel Technologies customers will not be exposed to any risks from this vulnerability, but enterprises are encouraged to check with their Cloud and other solution vendors to protect themselves and their data.
Our technology-empowered world continues to evolve at rapid pace, and so do the expectations of customers. The brands that will succeed tomorrow and in the future will be those that keep up with that change. While the vast majority of companies have transformation initiatives, in my digital transformation consulting work, I have noticed four common misconceptions about digital transformation that have the potential to derail even the most well funded efforts.
It seems that every few weeks, we are alerted to a new significant security issue within one of the plethoras of code elements that are widely used. The same pundits discuss the same range of concerns with open-sourced code each time. The list of “usual suspects” is long, and I know I could add at least 20 additional “reasons” to this list without thinking about it too hard. I’m not sure that open-sourced code is riskier than proprietary developed code. There I said it.
The Internet of Things (IoT) is a term that describes the increasingly sophisticated ecosystems of online, connected devices we share our world with. The slightly odd name refers to the fact that the first iteration of the internet was simply a network of connected computers. As the internet grew, phones, office equipment like printers and scanners, and industrial machinery were added to the internet.
There’s little doubt that cloud computing is now the absolutely dominant force across enterprise computing. Most companies have switched from buying their own hardware and software to renting both from vendors who host their services in vast anonymous data centers around the globe.
A growing number of BMC users are looking for a suitable replacement for BMC’s Middleware Management (“BMM”) solutions. The most frequently cited reasons for which these organizations are looking to replace their BMC software include: Nastel’s core business is Integration Infrastructure Management (i2M). Nastel believes that the Integration Infrastructure (commonly known as “middleware”) is the nervous system of every digitally integrated business.
Almost everyone nowadays understands what machine learning is. Some of the most exciting machine learning trends in the coming years have the potential to completely transform our current social, industrial, and economic structures. Furthermore, the machine learning industry is rapidly expanding, opening up a plethora of opportunities for business expansion.
It has been roughly two decades since cloud computing first appeared on the scene, and yet, despite overwhelming evidence of the business operational productivity improvements, cost-savings, and competitive advantages it provides, a significant remnant of the banking industry remains open without using it.
Big Data has recently made headlines as one of the important tools recruited to combat the corona crisis. Big Data technologies offer predictive capabilities and insights from vast volumes of economic, scientific, and epidemiological information to enable informed decision making, both locally and globally.
