This blog lists the top 10 worldwide predictions for connected devices and consumer digital transportation. These technology predictions are meant to help the players throughout the connected device and consumer DX ecosystem with strategic planning within a typical five-year cycle.
Think about all the connected “things” you carry with you or have in your home: Smart phones, iPads, PCs, fitness watches and many other devices. Some we’ve used for years, others are part of the growing Internet of Things (IoT). We use them frequently for communicating, connecting socially, monitoring our health and fitness or conducting business. All of this data is contributing to what IDC calls the Global DataSphere. You may not realize this, but as soon as you connect anything to the internet, you establish a data exchange relationship that adds to the world’s DataSphere until the device is disconnected.
The amount of data that organizations collect and use to inform their strategies and power applications is truly astounding; IDC expects that the amount of data created in 2023 will reach over 100ZB (one trillion gigabytes) or 10 times more than the amount of data created in 2014. Organizations need to make sure that their data is secure, which is why the data protection industry is so important. Data production as a service (DPaaS) solutions are the fastest growing segments of the data protection industry.
We’ve discussed how crowded the overall Internet of Things (IoT) market is, but the ultimate value in IoT lies in IoT applications. However, IoT applications require a strong technology base in order to be successful; hardware, other software platforms and software analytics, and connectivity are all important pieces to the IoT applications puzzle.
Earlier this month, GM announced that it will be adopting Google’s Android Automotive operating system, which included Google’s voice assistance (Google Assistant), embedded navigation (Google Maps), and in-vehicle applications (via the Google Play Store), for all of its vehicle brands beginning in 2021. This landmark deal reinforces the importance of developing and delivering a differentiated in-vehicle experience, as well as demonstrates how large horizontal technology platforms and brands are targeting IoT and key verticals (like automotive) for growth.
We’ve discussed how the term artificial intelligence (AI) covers a wide array of applications; just like many of these functionalities, affective computing is beginning to see some growth in the market. Spanning across computer science, behavioral psychology, and cognitive science, affective computing uses hardware and software to identify human feelings, behaviors, and cognitive states through the detection and analysis of facial, body language, biometric, verbal and/or vocal signals.
Artificial intelligence (AI) adoption is at a tipping point, as more and more organizations develop their AI strategies for implementing the revolutionary technology within their organizations. However, there are still major challenges to AI adoption; in fact, cost of the solution and lack of skilled resources are cited as the top inhibitors of adopting AI.
Data is the fuel for modernizing and transforming business. While there is no shortage of data – IDC expects data to reach 175 Zettabytes by 2025 – insightful, relevant data is in much shorter supply. I experience this daily in the cloud-related inquiries I receive. In addition to generating timely and relevant insights from data, my role is also to make the data actionable for customers. This means providing the data in a more consumable format and context based on a deeper understanding of what the client needs.
For the past few years I’ve been covering the Augmented Reality and Virtual Reality (AR/VR) market and over the years I’ve seen some impressive demos. For VR headsets these usually revolved around some sort of game or other-worldly experience — the kind of stuff that’s always fun and exciting for users.
