We include the technical capabilities that every web developer, data analyst, and IT specialist will have in the year 2020. It’s time to look at which tech skills are gaining popularity in the market. These architectures, languages , and cloud computing platforms represent the capabilities that have become popular based on data from Spark Databox’s 50+ million global learners. When considering where to invest your learning in the next decade or what tools to adopt within your company, take a look at these five hot tech skills. For more learning and employee training insights, download the 2020 Workplace Learning Trends Report: Skills of the Future.
Top 5 Hottest Technology Skills of 2020
According to a Gartner forecast, by 2021, 15% of all customer service interactions will be handled by artificial intelligence – chatbots, in particular. Chatbot technology is software-driven by AI to replicate human conversations. Chatbots replicate the way a human interacts with customers to solve customer service teams, a boon, manage tasks, sales, or frequently asked questions (frequently asked questions) to scale customer service teams and provide clock support. In a
survey of Gartner CIOs, chatbots were labeled as the primary use of AI in their companies, from finance to healthcare to retail, which is why it ranks 2nd on the hot tech capabilities list for 2020.
- Microsoft Azure
Amazon’s AWS Cloud Computing is the market ruler of all cloud providers. Microsoft’s Azure cloud services are increasing its popularity for enterprises, requiring robust security implementation and alignment with a set of Microsoft services already, which are already in use. The multi-cloud approach is gaining popularity as IT leaders recognize the cost savings and efficiencies of developing different cloud providers for different purposes. The growth in Azure demand has made this technology 3rd in thermal technology capabilities for 2020.
IT professionals can check their Azure’s skills, and Microsoft provides various certifications, covering from General Azure Administrator to Advanced Azure Architect. Even though your team is not currently using Azure solutions, Spark Databox teaches you to learn the basics to boost personal business growth and stay ahead of any technology changes your company can make as it moves to the cloud.
Through a branch of artificial intelligence, computer vision and computing systems learn and identify static images and videos. This technology is now applied to help your self-driving cars recognize barriers on the street, carefully diagnose medical situations, and recognize old photos of your family. The computer vision field is projected to grow to $ 26 billion by 2025. Accessing the use of computer vision for developers with all the background levels is OpenCV, an open-source library, which is the 4th technology to notice in 2020.
- Neural networks
Neural networks are a division of the deep learning section of artificial intelligence, and neural networks are algorithms created to run like the neurological pathways of the brain. By imitating the complex way humans learn, these algorithms can detect patterns within complex datasets and generate independent insights.
Neural networks help us increase the utility of computer systems and further advantages for sure. Developers create multiple graphs with tiers of nodes and edges using various programming languages and frameworks such as TensorFlow and Python.
A node in each node is connected to the next layer in each node, as does the transmitting data. This approach allows neural networks to do more machine learning than complex predictions. For example, neural networks can detect images, fraudulent account activity, with near-perfect accuracy.