Once the first step - connectivity - is completed, the device begins to generate real usage data. But without a clear strategy, that potential remains untapped. This is where a data strategy comes into play: a framework that gives strategic meaning to data and turns it into tangible value-creating new business opportunities, process optimization, and product innovation. For many manufacturers, the IoT journey stops at data collection: the product is connected, sends data, and that data is stored in the cloud. But without a clear data strategy, much of that value risks going unrealized. That’s when real transformation begins.

Many devices today already have built-in electronics but are still not connected . And yet, without data, there is no AI . That’s why the first step toward AI integration is designing your product’s connectivity . This means selecting the right electronics and firmware from the outset to enable: data collection directly from the field connection to an IoT cloud platform a stable local interface to control the device.

35 real-life IoT applications to get some ideas for your projects

In 2025, while Artificial Intelligence shapes new technological scenarios, there's a growing need to reflect on the pervasiveness of technology in our daily lives and its limitations.  The CES in Las Vegas, the world stage for consumer electronics innovation, has once again demonstrated how technology is becoming an ever-present force in most personal aspects of our lives. This is evidenced by Panasonic's stands, Hisense's "AI Your Life" exhibit, and LG's emblematic "Life's Good" space.