Part 2 of the “2018 Top IT Trends” series
In my first blog in this series, I stated my case that adoption of Internet of Things (IoT) platforms will be the number-one technology trend of 2018. However, there are other important developments going on that are very close behind. Read on.
Containers enable movement to the next level of virtualization. Container-based virtualization is the latest virtualization technology that will gain wider acceptance in 2018. Considered a new generation of virtual machines (VMs), which abstracted an entire device including the operating system (OS), containers consist only of the application and all the dependencies that the application needs.
Containers are lightweight, in that they do not need a dedicated OS for each container, which helps to reduce costs. Their open configuration also means that they can run on numerous platforms. They allow applications to run isolated from one another, resulting in greater security. Monolithic applications can be written as microservices and run in containers, for greater agility, scale, and reliability. Enterprises are migrating and developing new applications with containers in order to be competitive in today’s market that is defined by agility and efficiency.
Analytics and artificial intelligence will deliver tangible ROI. 2018 will see a growth in analytics and artificial intelligence (AI) across the board as companies see real returns on their investments. According to IDC, revenue growth from information-based products doubled the rest of the product and services portfolio for a third of Fortune 500 companies by the end of 2017.
AI became mainstream with consumer products like Amazon Alexa and Apple Siri, and we at Hitachi believe that it is the collaboration of AI and humans that will bring real benefits to society. Through tools like Pentaho Data Integration, our aim is to democratize the data engineering and data science process to make machine intelligence – a combination of machine learning and AI – more accessible to a wider variety of developers and engineers. Tools like the Pentaho with R and Python connectivity are steps in that direction.
Data governance 2.0 will be front and center. 2018 will see new challenges in data governance that will require organizations to implement new frameworks. The biggest challenge will come from the General Data Protection Regulation (GDPR), which will give EU residents more control over their personal data. This regulation will drive up costs and increase the risks involved in collecting and storing personal data. Violations of the GDPR could face fines totaling up to US$21.75 million, or 4% of EU’s total annual worldwide turnover of the preceding financial year.
Previous data governance was based on the processing of data and metadata. New data governance must now consider data context. If a user invokes their right to be forgotten, a company must be able to locate that individual’s data, eradicate it, and provide proof that this has been done. GDPR’s mandatory breach notification of within 72 hours also means organizations face a very short window to respond. The ability to do this is impossible if the data is scattered in different application silos and cannot cover data stored on mobile devices or in the cloud. In 2018, data governance frameworks will need to be updated to include content intelligence tools.
The third blog in this series will explore smart object storage for better data access, broader adoption of video analytics, and the growing acceptance of blockchain for its potential to save costs and accelerate business processes.
For more insight on technology trends, see Top AI Trends For 2018: Self-Driving Everything, Algorithm Whisperers, And More.