Have these trends affected your business in the past years? Or do you expect them to in the coming years?
APIs are methods of communication between software components. They can facilitate interactions between your own data/services, but also tie in with external sources.
Example: With Google Maps API, you can build new services based on Maps data, like transport planning or real estate scanning.
Bots use natural language processing to understand a user’s so-called ‘intent’. They then engage with that user to fulfil that need. Bots can be found on public messaging platforms, in proprietary chat systems and enterprise message clients. They are a way of delivering personalised user interactions at scale.
Internet of Things (IoT)
The Internet of Things refers to adding connectivity to objects, allowing them to send and receive data. This creates an network of physical devices, vehicles, buildings, electronics and sensors.
A peer-to-peer (and thus decentralized) distributed ledger where all transactions are recorded. It is secure by design, blockchains are inherently resistant to fraudulent modification of the data. A blockchain can be either open or private. Blockchain enables things like cryptocurrencies, programmable money and smart contracts.
Withing augmented reality, digital information, content and markers are added to the physical world. This can be achieved by looking at the world through a smartphone (e.g. ARKit, ARCore, Facebook Studio) or dedicated AR-glasses (e.g. Google Glass, Microsoft Hololens).
Virtual reality immerses audiences into a simulated or imaginary environment. This involves the use of a headset (low-end: Gear VR and Daydream; high-end: Vive and Oculus Rift) and head tracking, but sometimes also controllers or hand tracking, or even room-scale motion tracking.
Through advancements in speech recognition and natural language processing, voice is becoming an important means of input, especially in certain situations (so-called “place-onas”) like in the car, kitchen and on-the-go. Voice can be present on smartphones, or in smart speakers like Google Home or Amazon Echo.
A field within artificial intelligence, machine learning at its most basic is the practice of using algorithms to learn from data, and then make a determination or a prediction, without being explicitly programmed. Machine learning in its present form can be used for pattern recognition, prediction, anomaly detection and recommendation systems.