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5 Technologies CIOs Should be Investing in 2020

By CIOReview | Wednesday, September 11, 2019

Looking ahead, innovation leaders need to take a look at these tech trends that will drive business operations.

FREMONT, CA: Technology is an essential part of our daily life. From the moment one wakes up until going back to sleep, everyone today relies heavily on technology. With the introduction of machine learning and artificial intelligence, enterprises have been able to automate several business activities. With the evolution of digitalization, the technology trends change, the choices change, and the demands change. Digitalization has made an effort to change the way businesses works. By the invention of robots and data management, leveraging technologies have become handy. Yet, technology and innovation are challenging even for the most innovative enterprises. Several technologies and innovations have played a major role in growth of businesses. These emerging technologies will change the way humans interact and definitely revolutionize the way business is done. All the trends sharpen the future, which is true as we can see how AI and machine learning is simplifying the day to day work. 2019 witnessed many innovations in the business sector; by 2020, the world will face many more innovations. Here are some of the emerging technologies all CIOs need to be aware of when the digital ecosystem changes around us.

1. Augmented Human

Augmented human offers the creation of both physical and mental improvements of the human body. Creating limb prosthetics that can exceed the natural human performance is one such example of how augmented human can provide natural human performance. Emerging technologies that are focused on extending human capabilities such as biochips augmented intelligence, personification, emotion AI, a biotech that is cultured or artificial tissue, and immersive workspace will be popular in 2020.

2. Sensing and mobility

By integrating sensor technologies with AI, machines can get a better understanding of the world around them, by enabling the mobility and manipulation of objects. Sensing technologies are a core component of the IoT and the wide range of data collected. Using this intelligence enables the ability to gain different types of insights that can be applied for many scenarios. Organizations that consider leveraging sensing and mobility capabilities should consider the following technologies like AR Cloud, 3D-sensing cameras, light-cargo delivery drones, flying autonomous vehicles, and autonomous driving Level 4 and 50. For instance, it is estimated that over the next decade, AR cloud will design a 3D map of the world, which enables new interaction models, and in turn, new business models that will monetize the physical space.

3. Postclassical compute and communications

For ages, classical core computing, communication and integration technologies made prominent advances largely through improvements in traditional architectures comprising faster CPUs, denser memory and growing throughout as predicted by Moore's law. This classifying includes only the new approaches but also, the incremental improvements that have potentially dramatic impacts. CIOs should analyze technologies such as 5G, next-generation memory, Leo systems, and nanocycle 3D printing. The next generation utilizing these technologies will surely see wide adoption of the new architecture.  

4. Digital Ecosystems

Digital ecosystem leverages enterprises, people, and things sharing a mutual digital platform to receive beneficial purposes mutually. Digitalization has facilitated the deconstruction of classical value chains, which leads to a stronger and more flexible and resilient web of value delivery which is continuously morphing to create better-improved products and services. The examples of the digital ecosystem comprise of DigitalOps, knowledge graphs, synthetic data, decentralized autonomous organizations, and decentralized web. 

5. Advanced AI and Analytics

 Advanced analytics includes the autonomous or semiautonomous examination off data or content using complex techniques and tools, typically beyond those of the traditional business intelligence (BI). The technologies to track comprised adaptive machine learning edge AI, explainable AI,  edge analytics, AI platform as a service, transfer learning, graph analytics, and generative adversarial networks.

Nowadays, change is the only constant. Every business owner must work to keep up with emerging business technologies, regulatory changes, security practices, and more. This transformation is not about embracing the new technology or their innovation, it is about accepting the change in thought and organization culture. Digital transformation is about enhancing the growth of business activities, improving time to market, lower cost, bringing about a positive change in processes, people, and competency models.