Despite the importance of digital transformation, there is still an alarmingly high failure rate of 70%. Because there is a disconnect in the process, it is extremely difficult to get right. You’re told it’s necessary to stay competitive, and the next step is to be sold on it by a slew of savvy new automated tools.
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When the term “fintech” first appeared, many people assumed it was just another buzzword. Fintech has met the many diverse needs of today’s tech-savvy consumers and carved out a niche that is steadily expanding into the mainstream.
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With the current shortage of tech talent and the pressure to get new products to market as soon as possible, many organizations are considering low-code/no-code development as a possible solution. Employees with limited technical experience can build products using “plug-and-play” platforms rather than writing code from scratch.
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Blockchain is now being used in novel ways, forcing us to be more human as we seek new forms of connection and build trust into ecosystems that previously lacked it. Everything from supply chain management to how we use incentives in business to the ever-expanding arena of digital products is undergoing unprecedented change. And, while doing blockchain correctly can be extremely difficult, the payoff is proving to be well worth it.
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We outline the five steps to building a data center, from concept to completion. The construction of data centers is booming. Despite rising material and real estate costs, the data center construction market is expected to grow by $8.7 billion over the next four years, at a CAGR of more than 10%. Last year, more than 100 hyperscale data centers were built, with hundreds of new projects in the works.
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Cloud computing refers to the provisioning of resources such as data and storage on demand, in real-time. It has proven to be revolutionary in the IT industry, with market valuation increasing at an alarming rate.
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All of the cloud’s major promises — increased IT efficiency, flexibility, and scalability — come with one major challenge: security.
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Edge computing trends are important in business because edge deployments are now almost everywhere. With the number of edge computing devices growing at an exponential rate – including smartphones, smartwatches, and autonomous vehicles – business professionals must stay current with edge trends as we approach 2022.
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R in Data Science
In this blog, we tell you about the significance of Data Science and how to implement it using the R programming language. Everything operates on data now that technology has taken over the planet!
The evolution of data science over the next millennium is inextricably related to answering key concerns about time and intelligence. In this blog, we tell you about the future of data science.
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