Most companies take their integration infrastructure for granted. I'm talking about middleware such as IBM MQ, Kafka, Solace, ActiveMQ, RabbitMQ. These form the basis of most enterprise-level businesses. One of our electronic manufacturing customers was building products worth $40K per minute. A failure in one of the factory floor's automated systems brought manufacturing operations to a complete halt.
Today, I would like to simplify the technical advantage that Nastel Technologies offers its clients. In a nutshell, Nastel is the leader in i2M (Integration Infrastructure Management) by managing a multi-middleware-platform infrastructure (MQ, Tibco, Kafka, Solace, …) from one interface.
2021 saw several ongoing trends in financial technology, or “fintech,” accelerate, as well as completely novel developments burst onto the stage. What will 2022 hold? Here are five predictions from my vantage point: Cybersecurity will be paramount. Modern-day hackers are going to continue to be aggressive in exploiting every avenue and opening in disrupting commerce and operations. The financial industry is on the front lines of cyberattacks with an extraordinary amount of exposure.
Digital transformation has been the big technology story of the 2020s. Businesses that have embraced this ongoing movement have improved their customer journeys, strengthened their security, and even opened up data analysis to multiple facets of their business. Reflecting the widespread interest, companies like IKEA, DHL, and Nike have undergone successful digital transformations. Business leaders need to stay on top of these 7 key digital transformation trends moving into 2022.
For decades, scientists and tech visionaries have envisioned a day when computers become so powerful that they become smarter than the human race. There is no shortage of science fiction stories and movies about robot uprisings. We are very far from that scary scenario, but at the same time artificial intelligence (AI) is no longer sci-fi. Many applications of AI abound today in business, and it is even being used in creative professions.
After talking to machine learning and infrastructure engineers at major Internet companies across the US, Europe, and China, two groups of companies emerged. One group has invested hundreds of millions of dollars into infrastructure to allow real-time machine learning and has already seen returns on their investments. The other group still wonders if there’s value in real-time machine learning.
The attacks cybercriminals are using grow more complex and sophisticated by the day. However, with the help of big data analytics, you aren’t left defenseless. You can use big data analytics to fortify your cyber defenses and reduce your vulnerabilities. 1. Analytics can help you uncover suspicious patterns. Big data analytics protects your business data and strengthens your cybersecurity by providing valuable cybersecurity intelligence to your data analytics experts.
Knowing what business problem you want to address will help you know which data mining technique will produce the best results. Each of the data mining strategies listed below addresses a different business challenge and yields a different result. We are surrounded by big data in today’s digital world, which is expected to rise at a rate of 40% per year over the next decade. The irony is that we are awash in data yet deficient in knowledge. Why?
The FinTech revolution is truly transforming the way that we manage our money, bringing new online banks, new models for insurance provision, new ways to access loans, and much more. It rests on a number of pillars, but one of the most important is that of big data.