The lack of interoperability due to vendor lock-in, incompatibility between different transport protocols (e.g., WiFi, Bluetooth, Zigbee) and the absence of standards is preventing IoT from realizing its full potential.
Analysts predict that by 2025, there will be over 55 billion connected devices worldwide.ĭespite its rapid growth, IoT faces important challenges such as interoperability. IoT is here, now – already it has given rise to innovative applications in sectors as diverse as health care (remote monitoring and patient care), industrial automation (asset tracking, predictive maintenance ), smart buildings and homes, transportation (fleet management, connected vehicles), entertainment (augmented reality) and wearable devices. These devices enable them to generate, exchange and consume data via private networks or the public internet with minimal human intervention. In simple terms, IoT (Internet of Things) extends network connectivity to physical devices and everyday objects that are equipped with sensors, actuators, embedded computers and communication interfaces. In 2022 and beyond, we will witness rapid growth in IoT deployments across industry sectors.
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These are exciting times, as BI software will become a huge enabler across all industries, advancing our capabilities to make more informed decisions and introducing next-gen functionality. The results can provide predictive insights on what likely will occur based on the data analyzed. Users of BI software will also take advantage of integrated algorithms run against data sources to detect anomalies, correlations, patterns and trends. Similar to asking Alexa or Siri to perform an action on a speaker or phone, users can vocally ask some BI software to provide insight and answer questions with different views of data based on the criteria requested. Users of BI software will expand their use of its understanding to natural language – often spoken rather than typed – to ask questions about any data source connected to the BI software. The shift is away from static, historical data in spreadsheets and toward proactive analysis and alerts produced by BI software.
Entities across higher education and other industries are moving toward extensive use of BI software, which can provide visual representations of data for improved analytics and analysis. While business intelligence (BI) software has existed for a while, 2022 will see a significant expansion in its use for enhanced, data-driven decision-making.
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