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.

Social media conglomerate Meta is the latest tech company to build an “AI supercomputer” — a high-speed computer designed specifically to train machine learning systems. The company says its new AI Research SuperCluster, or RSC, is already among the fastest machines of its type and, when complete in mid-2022, will be the world’s fastest. “Meta has developed what we believe is the world’s fastest AI supercomputer,” said Meta CEO Mark Zuckerberg in a statement.

If 2021 was the soft launch of the Decade of the Internet of Things (IoT), 2022 is set to accelerate IoT-related technologies and investments, addressing societal and economic issues. The rollout of 5G, maturing of artificial intelligence algorithms for streaming IoT data, increased computing power at the edge and cheaper/better sensor technology is the “convergence” that has supercharged IoT adoption.

The term “Industry 4.0” originated from a committee of German technocrats who wanted to make predictions about where technology was headed next. And certainly, it fits nicely in the storyline of the initial Industrial revolution with the rise of machines powered by steam and water, the second revolution sparked by the use of electricity, and the third revolution of automated production with robots.

Over the years, this biweekly letter has provided me with the opportunity to fully and fairly document just how much free time college students can have if they try. My college roommates tried really hard.

In today’s world, data is collected at mind-boggling rates. People of all ages and backgrounds are almost constantly interacting with technology, allowing access to their names, ages, locations, content preferences and more.

Already a key strategic initiative, digital transformation — a catchall term for describing the implementation of new technologies, talent, and processes to improve business operations and satisfy customers — has taken on heightened importance during the COVID-19 pandemic.

Banking is becoming more convenient thanks to the Internet and our many connected devices, and the future of the banking industry is growing increasingly digital. Whether discussing the future of retail banking or the future of mobile banking, technology is playing a larger role in our everyday transactions. The Internet of Things (IoT) is part of this rapid evolution toward the bank of the future, and both consumers and financial institutions need to adapt to these retail and mobile banking trends.

These are heady times to be in the big data business, with big growth predicted for the foreseeable future across several measures, including data generation and storage, market spending, and data analytics hiring. First, the growth of data shows no signs of slowing down. In fact, data creation leaped forward in 2020 thanks to the COVID-19 pandemic, according to IDC’s DataSphere and StorageSphere reports.

Closing the gap between their organization’s choice to invest in a data science and machine learning (DSML) strategy and the needs that business units have for results, will dominate data and analytics leaders’ priorities in 2022. Despite the growing enthusiasm for DSML’s core technologies, getting results from its strategies is elusive for enterprises.

Artificial intelligence has been a hot topic of conversation among agency leaders for some time now, and mass adoption of AI as a valuable marketing tool is already well underway. While brands come up with innovative ways to use AI to meet their strategic business, marketing and sales goals every year, they also learn a lot through trial and error in the process.

Hybrid cloud environments can add complexity, reduce visibility, and require different logging and monitoring approaches for security teams. For a growing number of organizations, IT environments encompass a blend of public cloud services, private clouds, and on-premises infrastructure—with the latter becoming an ever-smaller portion of the mix. The past two years have seen a major uptick in the use of cloud services, and the trend shows no signs of slowing.

Enterprise cloud use cases are changing and expanding, and companies are now realizing new security challenges that need to be resolved. Cloud security solutions can include everything from new security tools to more advanced training to investing in new team strategies. See below to learn about the tops trends cloud security experts are seeing in the market.

Just flip on Netflix, and you can easily find a few dozen dystopian visions of a climate-ravaged future. As the standard storyline goes, the end of this century will see temperatures rise to ecologically disastrous heights, impacting billions of lives and changing living conditions forever.

2022 will be a watershed year for big data, AI and analytics, with more companies expecting tangible business results. But from IT’s vantage point, there is still much work to be done. Here are 10 New Year’s big data resolutions for IT. 1. Establish a data retention policy Many organizations have just kicked the can down the field, avoiding the big data retention discussion altogether.

You’ve probably heard before that the best thing to do with your extra money is to invest. And the stock market was built so that any average person could do just that. In fact, the New York Stock Exchange was originally just a group of merchants who met in person daily to buy and sell stocks and bonds. Over time, however, regulations were put in place that limited the type of people allowed to take part in the financial markets.

Over the last few years, multicloud frameworks have drifted into the mainstream. Organizations now create, store and manage enormous volumes of data across different cloud platforms. Despite the magnitude of this trend, there’s a stark and often disturbing truth: Businesses often have little or no visibility into much of the data that resides in these clouds. The culprit? Dark data.

The weakest link in most digital networks is the person sitting in front of the screen – the defining feature of the Internet of People (IoP). Because that’s where, through cunning and manipulative tactics, unsuspecting recipients can be tricked into opening toxic links. Little do they know, however, they’ve unwittingly opened the gates to digital catastrophe. Of course, I have nothing against people. In fact, some of my best friends are people!