Most public and private clouds have started using Linux containers, which ultimately creates a challenge for companies offering microservices. This will enable integration of computing, networking, and virtualization functionality in all hardware systems. Serverless computing makes cloud computing even easier by taking a software developer for away from infrastructure so that they can thoroughly concentrate on building code for single functions. The aforementioned cloud computing trends offer cost-effective, improved cloud monitoring solutions.
The age of Big Data has reached an all new high as disruptive and innovative digital technologies push businesses to adapt quickly in a rapidly changing consumer market. The capabilities and agility of big data combined with the scale of artificial intelligence is helping businesses across industries to understand evolving consumer behaviour and preferences, gain business intelligence and apply valuable insights when creating strategies. The convergence of big data and AI is the most significant development for businesses across the globe, enabling them to capitalise on hitherto unexplored opportunities. A major factor accentuating the importance of big data is also the massive volume of, and speed at which data is created through digital technologies and devices, providing businesses with real-time access to information from far more number of sources than ever before. As the driving force of several industries in 2017, the scale and growth of artificial intelligence in 2018 is expected to be even more greater.
Just a few years ago, companies used innovation and digital transformation mostly to differentiate themselves and to stay competitive. The dramatic growth in digital technologies and cloud computing over the last couple of years has since changed this mindset. Today, organizations must be innovative and leverage the latest technologies simply to stay in business. Enterprises that implement online retail, banking, and other services aren't considering these channels as just another route to increase their revenue. They realize that online services are fast becoming their primary revenue channel.
At KDnuggets, we try to keep our finger on the pulse of main events and developments in industry, academia, and technology. We also do our best to look forward to key trends on the horizon. To close out 2017, we recently asked some of the leading experts in Big Data, Data Science, Artificial Intelligence, and Machine Learning for their opinion on the most important developments of 2017 and key trends they 2018. This post, the first in this series of such year-end wrap-ups, considers what happened in Big Data this year, and what may be on the horizon for 2018. "What were the main Big Data related developments in 2017, and what key trends do you see in 2018?"