Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Digital twins enable enterprises to model and simulate buildings, products, manufacturing lines, facilities and processes. This can improve performance, quickly flag quality errors and support better decision-making. Today, most digital twin projects are one-off efforts.

Cloud can do much more than reduce a retailer's cost of computing and data storage. In fact, it can offer new experiences to both employees and customers which are hard to imagine without being on cloud. While this may sound intuitive to digital natives, traditional organisations need to wear a different lens to understand the power of cloud. Digital solutions can enable intelligent retail that better understands customers, empowers employees to deliver breakout customer experiences, builds robust supply chains and contributes to reimagining the customer experience. A good starting point is prioritising desired business capabilities.

Modern organized enterprises recognize that the adoption of a data-driven strategy is crucial to compete in an increasingly digitalized market. Data and analytics have become a very high priority, rising to the board level, which sees technologies such as Machine Learning and Artificial Intelligence as an opportunity to increase business capabilities, making processes more efficient, and facilitating the spread of new business models. Far and wide, investment in AI and data management are drastically increasing, and new data science projects are underway to build predictive and analytical models for various purposes. However, while companies plan to scale up sophisticated Artificial Intelligence solutions in a reasonable time, the harsh reality is that the adoption of these solutions is often stalled because companies generally focus more on development than on the operationalization of the models. For many non-digital native businesses, the adoption of the data science discipline is often begun with numerous self-contained and fragmented data science teams committed by and large to developing models of Machine Learning and Deep Learning. These small teams of data scientists have sprung up in the varied business units with the aim of building models for different business purposes.

Modern organized enterprises recognize that the adoption of a data-driven strategy is crucial to compete in an increasingly digitalized market. Data and analytics have become a very high priority, rising to the board level, which sees technologies such as Machine Learning and Artificial Intelligence as an opportunity to increase business capabilities, making processes more efficient and facilitating the spread of new business models. Far and wide, investment in AI and data management are drastically increasing and new data science projects are underway to build predictive and analytical models for various purposes. However, while companies plan to scale up sophisticated Artificial Intelligence solutions in a reasonable time, the harsh reality is that the adoption of these solutions is often stalled because companies generally focus more on development than on the operationalization of the models. Many non-digital native's businesses., the adoption of the data science discipline is often begun with numerous self-contained, and fragmented data science teams, committed by and large to developing models of Machine Learning and Deep Learning. These small teams of data scientists have sprung up in the varied business units with the aim of building models for different business purposes.

Although virtual assistants have been around for a while, and most consumers are used to dealing with them, the application is limited and the experience can be poor. However, there is a whole new level of virtual assistance on the way called advanced virtual assistants, which are capable of functioning as virtual billing agents, virtual AI/VR agents or even virtual driver/car agents. The impact will be substantial in industries, organizations and consumer interactions. But advanced virtual assistants are just one of 23 of the most impactful technologies featured on the Gartner Emerging Technologies and Trends Impact Radar for 2021. Let's look at some of the technologies that I find especially interesting. I'll examine a few that are right around the corner (e.g., advanced virtual assistants) and one that is further out (AR cloud).

For some, it is self-evident to use AI in their business and digitalization in the company. For others, it seems more like a trend. And yet we can observe how more and more AI platforms are in use. Nevertheless, and perhaps precisely because of this, it is challenging to determine how to implement this technology. If misused, misunderstood, or wrongly applied, artificial intelligence can damage businesses.

In most cities in China, citizens and visitors must download Health Code -- an app that indicates COVID-19 status -- to access many public and private spaces and services. A green screen means the person is free to travel, yellow indicates required quarantine and red means a confirmed infection. In India, the Aarogya Setu app indicates which travelers are "safe" to use rail and air travel. The United Arab Emirates recently launched ALHOSN UAE, which also indicates via color if a person is okay, infected or need to be quarantined, but also has an option for "hasn't been tested." ALHOSN UAE is currently being used to grant access to air travel.

As part of its Hype Cycle for emerging technologies in 2020, Gartner has identified social distancing technologies, composable enterprise, AI-assisted design, differential privacy and biodegradable sensors as the five key emerging trends that will drive technology innovation over the next decade. "Emerging technologies are disruptive by nature, but the competitive advantage they provide is not yet well known or proven in the market. Most will take more than five years, and some more than 10 years, to reach the Plateau of Productivity. But some technologies on the Hype Cycle will mature in the near term and technology innovation leaders must understand the opportunities for these technologies, particularly those with transformational or high impact," said Brian Burke, research vice president at Gartner. For example, Gartner points to health passports and social distancing technologies, both related to the COVID-19 pandemic, that are taking the fast track through the Hype Cycle and having a high impact.

Social distancing technologies, composable enterprise, AI-assisted design, differential privacy and biodegradable sensors are among key technologies that will drive technology innovation for the next decade, said leading research and advisory company Gartner in a new report. The 30 must-watch technologies on the Gartner report "Hype Cycle for Emerging Technologies, 2020" include technologies that enable a composable enterprise, aspire to regain society's trust in technology, and alter the state of your brain. "Emerging technologies are disruptive by nature, but the competitive advantage they provide is not yet well known or proven in the market. Most will take more than five years, and some more than 10 years, to reach the Plateau of Productivity. But some technologies on the Hype Cycle will mature in the near term and technology innovation leaders must understand the opportunities for these technologies, particularly those with transformational or high impact," said Brian Burke, research vice president at Gartner.

In most cities in China, citizens and visitors must download Health Code -- an app that indicates COVID-19 status -- to access many public and private spaces and services. A green screen means the person is free to travel, yellow indicates required quarantine and red means a confirmed infection. In India, the Aarogya Setu app indicates which travelers are "safe" to use rail and air travel. The United Arab Emirates recently launched ALHOSN UAE, which also indicates via color if a person is okay, infected or need to be quarantined, but also has an option for "hasn't been tested." ALHOSN UAE is currently being used to grant access to air travel.