Upcoming technology that will blow you mind
The Future of IoT is App-less
Every IoT app development company will have to rethink how user interfaces can be designed
Existing mobile, web and embedded applications will become more complex.
Mobile app solutions will by no means fall off IoT developers’ radar. At the end of the day, the Internet of Things is simply a database, and we need familiar interfaces to manage the information.
There are numerous IoT use cases where data visualization and, specifically, access to historical sensor data presented in a meaningful and understandable way, come to the forefront. These include assisted ambient living devices, retail proximity solutions based on beacons, and wearable gadgets with a low memory footprint and limited screen space.
In some cases, however, it is possible to minimize user interactions with IoT systems, and thus introduce a new level of convenience. With the powerful processors like Raspberry Pi 4 and pre-trained Artificial Intelligence solutions offered by Amazon, Microsoft, and Google, adding smart device management capabilities to a connected product is no longer an option. And it’s the next step in the Internet of Things or IoT mobile app development.
On top of “mobile-only” device management, many IoT device management companies lack cognitive capabilities on the device level.
Basically, this means sensor data is sent back and forth between the cloud and a smart device. Considering the rising cloud server costs, possible connectivity issues, and the proliferation of scenarios where lower latency (the period of time between when sensor data is transferred to the cloud, and a proper command is sent to the gadget) is required, relocating data analytics closer to the edge of a network is inevitable.
Deep learning and machine learning have a huge role to play. With data volumes already overwhelming businesses and yet constantly increasing, we’re going to see more organizations looking to algorithms to do the heavy lifting and unearth actionable insights. The manual approach of having armies of analysts identifying intent, reading and classifying data by hand is neither scalable nor cost-effective.
The Internet of Things and voice control will develop in tandem. Voice is innately suited to interfacing with devices that are embedded into our environment. Advances in machine learning and natural language processing have already made conversational agents possible. As they grow in sophistication, they will move from the periphery and become a primary interface for IoT devices and networks.
Cyber Attacks On IoT Devices
Instances of ransomware are already growing at an incredibly rapid rate. As we transition to the daily use of more smart devices, such as smart cars and smart watches, we anticipate that these platforms will be targeted. It’s important that we understand this now so that we can get out ahead of it to protect businesses and consumers.