Top Ten IT Industry Trends for IoT Applications in 2018

In the era of the Internet of Things (IoT), IoT solutions have become a critical strategy across nearly all industries and markets. According to recent market research, ten key IT trends are expected to shape 2018. These trends reflect the growing importance of digital transformation and the need for more intelligent, connected systems. One of the leading IT strategies in 2018 will be the adoption of IoT platforms that support the integration of smart devices and data analytics. Hitachi Vantara, under the guidance of Global Technology Officer Hubert Yoshida and Asia Pacific Technical Officer Russell Skingsley, has highlighted these trends as part of its 2018 Asia Pacific Technology Development roadmap. Smart object storage, advanced analytics, AI, and agile enterprise methods are set to play a central role in the coming year. As organizations look to leverage IoT, they must focus on building scalable, secure, and intelligent infrastructures that can handle vast amounts of data and deliver real-time insights. "Having a deep understanding of business needs and the right infrastructure is essential for creating valuable IoT solutions," said Yoshida. "Choosing the right platform and service provider can make all the difference in ensuring success." Skingsley added, "Companies should seek out open and resilient IoT platforms that simplify integration with other technologies. These platforms should enable the creation of diverse industrial applications, helping businesses design, build, test, and deploy solutions quickly and efficiently." Another major trend is the rise of intelligent object storage. Enterprises often face challenges in accessing and managing data due to siloed systems. Data is frequently stored in isolated environments, making it difficult to extract value from it. This leads to inefficiencies and high costs. "Data scientists tell us that 80% of their time is spent on data preparation rather than analysis," said Skingsley. "The concept of a data lake is promising, but without proper cleaning, formatting, and metadata tagging, it can turn into a data swamp." Hitachi Content Intelligence helps address this issue by extracting data from various silos and processing it in multiple ways. It enables users to manage sensitive content effectively and maintain control over their data assets. By standardizing search processes across different systems, it connects and integrates structured and unstructured data from multiple sources. In 2018, analytics and artificial intelligence (AI) will see widespread adoption, with companies beginning to realize tangible returns on investment. IDC predicts that by the end of 2017, one-third of Fortune 500 companies will see revenue growth from information products exceeding that of traditional products and services. "Ai is no longer just a consumer technology—it's becoming a core part of many industries," said Singsley. "Tools like Pentaho Data Integration help bring machine learning and AI to developers, making it easier to create intelligent applications." Pentaho’s integration with R, Python, and Spark MLlib is a step toward making AI more accessible. Hitachi’s Lumada platform supports flexible input and output, enabling automated configuration and management of resources. It also supports Python, R, and Java for machine learning, making it a powerful tool for IoT applications. Video analytics is another area set to grow significantly in 2018. Beyond public safety, video analysis will serve as a “third eye” in retail, healthcare, automotive, manufacturing, education, and entertainment. Advanced algorithms can detect events in real time, combining video data with other IoT sources such as GPS and social media. "Video can offer unique capabilities such as 3D motion tracking and behavior analysis," said Yoshida. "Retailers, for example, use video to understand customer movement and optimize product placement." Yoshida emphasized the importance of high-quality video inputs. Technologies like noise reduction, image stabilization, and super-resolution enhance video quality, making analytics more effective. With the right tools, video analytics can deliver significant ROI and actionable insights for businesses.

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