Digital transformation has remained an important trend in banking in 2021. Similar to its impact on other business domains, technology is gradually reshaping the financial services industry in every aspect. However, the industry has a long way to go, and banks are still dipping their toes in the digital water, with 27% only launching a digital transformation strategy in 2021. Meanwhile, customers have changed too.

As a child in the 70’s who was consumed by technology, I go to experience the user interface changing from computers that only provided a hex keypad for input and 8 individual LED’s for output and memory that was well below 1K of RAM. I was delighted by what you could do with a keyboard and teletype printer. I Remember the green screens, acoustic couplers, Bulletin boards, Perkin Elmer minis that didn’t come with floating point arithmetic.

Which technology will lead the dive into the Metaverse – inspiring the infrastructure to give us an extra life If we needed evidence that the Metaverse is already alive and kicking, we don’t need to look farther than a recent wedding that took place in it. Incredibly, people are actually beginning to migrate part of their formerly-physical lives to the virtual world. Not to be left behind, companies are hastily repositioning themselves to cash in. Metaverse real estate is in-demand.

More and more agencies and brands are relying on machine learning these days to analyze mountains of data and provide insights they can use to better inform advertising campaigns. Using ML, artificial intelligence tools can recognize patterns in data gleaned from existing campaigns to see how ads are impacting customer engagement, purchase intent and conversion rates.

In case you missed it, insurtech — technology developed to improve and transform the insurance industry — is having a bit of a moment. Forrester recently reported record-breaking funding for insurtechs, closing Q3 at $15 billion – more funding than in 2019 and 2020 combined – with more deals anticipated by the end-of-year.

The ‘Internet of Things’ was first coined to help people understand the concept of digital appliances that could communicate with an app or central hub. If you’ve been to CES at any point in the last decade, you could see many examples on the show floor, such as connected weight scales or a connected fridge. But these early examples of ‘connected’ tech felt more gimmicky than useful, and were largely contained to the consumer electronics industry.

Researchers discovered that diagnostic artificial intelligence models used to detect cancer were fooled by cyberattacks that falsify medical images. Diagnostic artificial intelligence (AI) models hold promise in clinical research, but a new study conducted by University of Pittsburgh researchers and published in Nature Communications found that cyberattacks using falsified medical images could fool AI models.

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.

Banks and fintechs are locked in competition. But as we examine the drivers, challenges and opportunities in the financial services industry, it’s increasingly evident that we should all be sitting on the same side of the table. Today, bank and fintech partnerships are leading the way to the future of financial services.

Big Data, a serious shift toward rapid experimentation, is the need of the day for most firms who are interested in reaping its potential benefits and constructing a wise and clear path to the changeover. Big Data has been the topic of discussion for a few years and is a method for businesses to acquire large amounts of data on their customers in order to deal with that data while respecting customer privacy and adhering to ethical guidelines.

We use energy in many different ways in our lives, be it for lighting up our houses, running electronic appliances or as fuel in our vehicles. There are mainly two types of energy: renewable energy and non-renewable energy. Non-renewable energy includes fossil fuels like natural gas, petroleum and coal. However, these energy sources come from nature itself; it is impossible to renew them quickly. This means that these resources will become entirely exhausted in the upcoming years.