Not since the advent of the personal computer have you seen so much innovation and change in enterprise computing. The rise of mobile, augmented reality, smart personal assistants, business intelligence, social business, the Internet of Things, and more changes are sweeping through data centers like yours around the country. Here are four key tech trends in enterprise data to watch.
Security has moved to the forefront of important tech trends in 2016. The previous year was a disaster in terms of enterprise security breaches: VTech toys, the FBI, Experian, Scottrade, Excellus BlueCross Blue Shield, CVS, Walgreens and many more companies were hit.
Companies are making a much more diligent effort to harden security protocols and protect corporate data. At the same time, hackers are moving on to smartphones and tablets as mobile computing continues to explode in popularity.
With more employees bringing their own devices to work (BYOD), enterprise security experts are facing a whole new slate of challenges.
According to a poll by Narrative Science, just over 60 percent of organizations expect to be using Artificial Intelligence (AI) by 2018. Similarly, IDC reports that a scant one percent of developers are adding cognitive computing routines to their apps today, but over 50 percent believe they will be doing so by 2018.
AI systems operate more like your brain than the computer on your desk — they understand video and photos, have languages skills and can use predictive analysis. It will be used everywhere: driverless cars, software that can learn new skills as it operates, household robotics and more.
A key driver of AI is the rapid growth of the Internet of Things (IoT).
As household appliances, clothing, tools, home fixtures, automobiles and a myriad of other objects become wired to the internet, AI will be needed to process the massive amounts of data generated.
AI will not only search the data for useful information, it will use machine learning to improve the data gathering process at the same time.
As we move from the Information Age to a more connected, collaborative Communication Age, business is evolving as well. Organizations will continue to flatten as top-down hierarchies give way to a network approach.
Social software is fueling this evolution, helping employees communicate, share, collaborate and network with each other on a wide variety of projects, some reaching over traditional boundaries to create new synergies.
Engagement, feedback, real-time collaboration and rapid deployment of concepts and ideas are key components of the trend toward social business.
Heavily influenced by social media, social business is forcing business leaders to reevaluate the linear approaches of the past and embrace a new way of thinking that is highly networked and natively digital and represents a seismic shift in corporate culture.
Many legacy systems are moribund, lethargic and costly to maintain. They survive in enterprises because they do the basic tasks required to run the company, and replacing an entire system is prohibitively expensive and would take years to complete. Yet consumers are demanding new services and innovation like never before.
Increasingly, enterprises are turning to microservices to rapidly develop and deploy new products, features and services. Instead of a monolithic system, microservices break down big applications into small, autonomous units. This makes it much faster and easier to develop, maintain and update programs.
Infrastructure needs are reduced, in some cases up to 50 percent, and downtime is decreased due to the lack of a single point of failure. All that adds up to better products, more engaged customers and increased revenue.
Mobile security, artificial intelligence, social business and microservices are four red-hot data science trends that show no sign of slowing down in the near future. As your enterprise data center looks to the future, one thing is for sure — change is the only constant you can count on.
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