When it comes to mobile app technology, there’s always something new on the horizon. Now, more than ever, it’s a great time to be a tech geek. And we can’t help but wonder: What’s coming next?
If you’re on the lookout for a good sector to start a business in, these are all interesting trends. If you’re already an entrepreneur, think about how you can leverage these technologies to reach your target audience in new ways. And the business that makes the best of them will definitely be ahead of the competition.
Let’s dig a few of the top 10 emerging technology trends of 2017:
Technology Trend 1: Advanced Artificial Intelligence and Machine Learning
One of the technology trends causing a lot of buzz is AI (Arttificial Intelligence) and ML (Machine Learning). Together they bring technologies such as deep learning, neural networks and natural language processing, and can also incorporate more advanced systems that are able to understand, learn, predict, adapt, and potentially function autonomously. The systems can learn and modify future behaviour, leading to the creation of more intelligent systems and programs. This new era is thanks to the combination of powerful parallel processing and complex algorithms that are driven by advanced data sets.
In the banking industry, AI and ML are appealing for modeling current transactions in real time, as well as for developing predictive transaction models that account for fraud probability. Businesses that wish to bet on this trend in order to stimulate digital innovation must evaluate several business scenarios in order to associate a precise commercial value with these technologies. They must also plan for low-risk preliminary trials of these technologies to test feasibility.
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Technology Trend 2: Intelligent Applications
Applications such as virtual personal assistants (VPA) can accomplish tasks similar to those performed by human assistants. They can facilitate daily tasks (prioritizing emails, for example) and improve productivity for their user (by highlighting the most important information and deliverables). Other applications such as virtual customer assistants (VCA) offer more specialized services in the areas of sales and customer service. To that end, these applications have the potential to transform the nature of work and even the workplace itself.
“Within 10 years, nearly every application and service will feature some degree of AI,” confirms M. Cearley. “This trend will continue to evolve in the long term, expanding the use of AI and ML in both applications and services.”
Technology Trend 3: Intelligent Objects
Intelligent objects refer to things that execute above and beyond strict programming models and utilize applied AI and ML in order to perfect behaviors and to integrate more naturally with their immediate environment and people alike. Gartner predicts that as independent intelligent objects such as drones, autonomous vehicles and intelligent devices become more common, they will also become more collaborative.
Technology Trend 4: Virtual and Augmented Reality
Virtual reality (VR) and augmented reality (AR) are transforming the way that people interact with each other and with software systems, encouraging the development of immersive environments. For example, we can use VR for training purposes and remote experience. Thanks to AR, which allows for superimposition and mixing of the real and virtual world, businesses can superimpose graphics on real objects, such as concealed wires on the image of a wall. Immersive experiences making use of both AR and VR have reached a tipping point in terms of price and capability, but have yet to replace other interface models. In time, they will go beyond visual immersion and will integrate all of the senses. By 2020, businesses should be researching applications targeting VR and AR.
Technology Trend 5: Digital Twin
Within the next 3 to 5 years, billions of objects will be represented by digital twins, a dynamic software representation model for physical objects or systems. With the help of physical functionality data for object components (and their reaction to the environment) as well as data provided by sensors in the real world, the digital twin can analyze and simulate actual conditions. It can also react to changes, improve operations and provide added value. Digital twins work as proxies, either for competent professionals (ex. technicians) or for monitoring devices and checks (ex. gauge). Their proliferation has mandated a culture shift for collaboration between maintenance personnel and data scientists/IT professionals. Digital twins of tangible properties that are linked to digitally represented equipment or environment, as well as to people, businesses, or processes, increasingly favor a more detailed digital representation of the real world for simulation, analysis, and testing.
Technology Trend 6: Blockchain
The blockchain is a sort of distribution registry in which transactional exchanges of value (in bitcoins or other digital currency) are grouped in blocks according to a sequential order. Blockchain and distribution registry concepts are generating more and more interest thanks to the possibilities they afford for transforming operations models in industries such as music distribution, identity verification, and registering titles. They provide a glimpse into the potential of a model, increasing confidence in unstable environments and reducing commercial tensions by offering transparent access to the information contained in the chain. While they have generated much interest, the majority of blockchain initiatives are still in the alpha and beta phases and still face crucial technological challenges.
Technology Trend 7: Conversational Systems
Conversational interfaces are based on virtual assistants and devices that feature microphones (speakers, smartphones, tablets, PCs, cars). However, the virtual mesh encompasses a growing number of methods used to access applications and information or to interact with people, social communities, governments, or businesses. The device mesh goes beyond office computers and traditional mobile devices and includes the entire range of possible methods for human interaction. Once the mesh develops further, connection models will multiply and we will see the emergence of enhanced collaborative interaction between devices. This will be the foundation for a new prevailing continuous digital experience.
Technology Trend 8: Mesh Application and Service Architecture
The Intelligent digital mesh will force changes in terms of architecture, technology, and the tools used to develop solutions. Mesh application and service architecture (MASA) consists of a flexible and dynamic modular multi-way architecture that harness the cloud and serverless computing with modules, microservices, application programming interfaces (API) and event interfaces. Essentially, the solutions support multiple users performing multiple functions on multiple devices communicating with multiple networks. However, MASA is a long term architecture shift that requires a substantial redesign in terms of development tools and best practices.
Technology Trend 9: Technical Digital Platforms
Digital platforms constitute the base components for digital enterprises and are essential for industry penetration. Each company utilizes a mix of 5 platforms: information systems, client experience, analysis and intelligence, the internet of things, and business ecosystems. In particular, new platforms and services that are linked to the IoT, AI, and conversational systems will be a focal point until 2020. Companies will need to follow platform evolution and plan for the evolution of their own platforms in order to meet future digital challenges.
Technology Trend 10: Adaptive Security Architecture
Given the evolution of the intelligent digital mesh and digital platforms along with application architecture, security must also become fluid and adaptive. In the IoT environment, security has been problematic. Security teams must work together with application architects, solution architects, and business architects to ensure that an immediate focus is placed on security during the development of IoT applications or solutions. Nearly every business should be able to fall back on multi-level security and behavior analysis for users and other entities alike.