- February 4, 2019
- Posted by: suma
- Category: Artificial Intelligence, Blockchain
While quantum computing may seem like science fiction technology, the technology is maturing faster than most realize. Developers can now build and run quantum computing applications via a cloud environment, and researchers recently proved the advantage quantum computers have over classical computers. CIOs should begin monitoring the technology, which could see significant adoption by 2022 or 2023
Gartner defines a smart space is a physical or digital environment in which humans and technology-enabled systems interact in increasingly open, connected, coordinated and intelligent ecosystems. The growth of the “smart spaces” trend can be seen through smart cities, digital workplaces, smart homes, and connection factories.
Blockchain promises to promises to reshape industries by enabling decentralized trust, providing transparency and reducing friction across business ecosystems. While many CIOs are just now beginning to explore blockchain and evaluate its potential, early adopters such as Walmart and Maersk are already expanding their pilot programs.
Digital twins, or digital representations of real-world entities or systems, has been a growing trend as the Internet of Things has exploded. One of the most interesting aspects will be the implementation of digital twins of the organization (DTOs). DTOs are dynamic software model that relies on operational or other data to understand how an organization operationalizes its business model, connects with its current state, deploys resources and responds to changes to deliver expected customer value.
Artificial intelligence can be used to augment human capabilities or automate them. Within the realm of augmented intelligence, Gartner sees augmented analytics, which it defines as the use of machine learning to transform how analytics content is developed, consumed, and shared, rapidly advancing through mainstream adoption. This will enable organizations to optimize decisions and actions of all employees, and not just those of analysts and data scientists.
As organizations increasingly leverage AI-enhanced tools and technologies during development, there is a growing need for easy-to-use tools that can be leveraged by application developers rather than data scientists. Indeed by 2022, Gartner predicts that 40 percent of new app development projects will include AI co-developers within their teams.