Innovation is not a new idea, but a new value. Turning an idea into a successful product requires change agents and a supportive environment. This trend is about new business models, processes, technologies, and products, successful and failed cases, inventors, investors and managers, market conditions and government conditions. Anything that helps – and hinders innovation automated palletizer.

Generative Artificial Intelligence

Generative AI models are machine learning techniques that study content or objects and use them to create new, completely original data. They can be used for coding, drug development, and targeted marketing. Gartner estimates that by 2025, generative artificial intelligence will account for about 10% of all data produced.

Data Fabrics

Over the past decade, the number of disparate data warehouses and applications has grown dramatically, while the headcount in data and analytics teams has either remained unchanged or declined. In this regard, there is a demand in the world for data factories – flexible but sustainable integrations between platforms and business users. With built-in analytics, they can improve information processing, reducing data management efforts by up to 70% while reducing time to value.

Distributed Enterprise

With the proliferation of remote and hybrid work models, traditional office-oriented enterprises with geographically dispersed employees are receding into the background. Of course, these changes require major changes, but Gartner predicts that in 2023 75% of enterprises that take advantage of the geographically distributed model of work will grow 25% faster than their competitors.

Cloud-Native Platforms

Cloud platforms are essential to provide digital services anywhere in the world. They provide scalable and resilient IT capabilities for technology creation that reduce time to time and lower costs. Cloud platforms will power more than 95% of new digital initiatives by 2025, up from less than 40% in 2021, Gartner predicts.

Autonomic Systems

Autonomous systems made themselves known as early as 2021 – thanks to the ability to dynamically change their own algorithms without external software updates, they can quickly adapt to new conditions, as people do. Gartner predicts that autonomous systems will become commonplace in robots, drones and manufacturing machines.

Decision Intelligence

Decision-making intelligence is a practical discipline used to improve decision-making through a well-defined decision-making system, evaluating results, managing them, and improving them through feedback. According to preliminary estimates, in the next two years, a third of large organizations will use this method for structured decision-making in order to increase their competitive advantage.

Composable Applications

In turbulent times, companies have a growing need to adapt to an ever-changing business context, requiring a technology architecture that supports fast, secure, and efficient application change. Composite application architecture provides this adaptability, and companies that implement this approach will outperform competitors by 80% in terms of speed of new features implementation.

Hyperautomation

Hyper-automation enables accelerated growth and increased business resilience by quickly identifying, validating, and automating as many processes as possible. Gartner research shows that the most effective hyperautomation groups focus on three key priorities:

• improving the quality of work,
• acceleration of business processes,
• increasing the flexibility of decision making.

Privacy-Enhancing Computation (PEC)

PEC techniques, which protect personal and confidential information at the data, software or hardware level, enable secure exchange, aggregation and analysis of data without compromising confidentiality. Gartner expects that by 2025, 60% of large companies will use one or more methods of computing that strengthen the protection of user data.