Experts believe that innovations like advanced quants, augmented reality, etc. will change ways how enterprises approach their business. With traditional IT systems waning, more similar extensive technology innovations are expected in the near future. Here are some of the ephemeral and elusive technology trends that will gain market acceptance in the near future:
Autonomous Things: Intelligent things like advanced Robotics, Smart Vehicles, Drones, Appliances, etc., will build new opportunities for automation. Unlike rigid models, autonomous things will more effectively converse with information systems in an ecosystem. This level of automation will interact more seamlessly with users or business ecosystems – it will move past normal technology trends and deliver advanced behaviors. These things might sound too futuristic but they will be used for cobbling stronger IT security, developing a strategic response for incidents,
Augmented Analytics: Semantic layer based analytic platforms will efficiently deal with an intensifying barrage of data. These platforms will introduce big ramifications to different industries. Data scientists will be able to use these platforms to prepare, analyze, or group data and support decision-based models.
Using these models, businesses will be able to acquire knowledge, interpret inputs in a better way, and generate a better response. These models will be able to solve critical problems facing enterprises. For instance, they can get bigger capabilities to take better business decisions:
- Whether to acquire a company or not?
- How to re-engineer products?
- To enter a new market or not?
In the coming days, over 40% of data science tasks will be automated. It is also expected that deep learning tools or developer tools will be available to every business user – and not just to data scientists and developers.
Digital Twin:Dynamic software models or digital manifestation of organizational processes will be used by enterprises to drive business value. Digital Twins are advanced versions of computer-aided design representations differentiated by proximity to real-world scenarios. Today’s digital twin models are robust and hold the promise to support enterprise decision making in effective ways. Enterprises can envision near real-time business processes and drive improved efficiencies. Using these models, organizations can operationalize their business models and deliver expected customer value.
Empowered Edge: Endpoint devices embedded in the real world via a network topology around us for an empowered edge will bring key breakthroughs in 2019. These devices will be defined by greater processing power, faster speed, and greater density. With higher bandwidth of 5G edge, enterprises will get more robust connections spanning across different domains. Coalescing around empowered edge will deliver capabilities to deliver an immersive experience, storage processing, and centralized service execution.
Blockchain: Many enterprises will bring Blockchain into their operations. Advanced versions of this immutable distributed ledger will help enterprises in tracing transactions without the need for centralized party. Manufacturing, healthcare, supply chain will be able to use Blockchain for transacting with their parties at a lower cost and faster time. Experts believe that Blockchain solutionwill create 3.1$ of value in the coming days. Enterprises will be able to set up programmable economies around Blockchain functionalities, i.e., smart contracts, consensus model, etc.
Quantum Computing: Nonclassical computing model called quantum computing will be leveraged by many enterprises. Quantum computing is an exponentially scalable and highly parallel computing model. Enterprises can use this computing to spread out processing and establish significantly deeper neural networks. This model will help enterprises in setting up diverse architectures and moving forward with full throttle. This computation force and ability to leverage millions of computations can be used for bio-metrics optimization, material sciences, and cryptography.
The aforementioned were some of the trends which forward-thinking enterprises can make use of to race past their peers. However, the practical application of these trends will require layered integration. Traditional integration approaches will pose formidable chaos challenges as they cannot be scaled for collaborative innovations. On the contrary, enterprise technology integration can provide a strategic roadmap to help enterprises in accelerating these capabilities and bucking future growth.