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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

  1. Tensorflow

Tensorflow is the deep learning Python library promoted by Google for the 1st hottest technology capability for 2020. It is applied for artificial intelligence specialization termed neural networks. The library is used to find foresight from huge datasets. The breakdown of 2019 marked the awaited update to the modern library with the release of TensorFlow 2.0. Since its initial release, Tensorflow has surprised with the potential to use the library in languages ​​rather than Python, which includes JavaScript and Swift.

TensorFlow.js is a JavaScript library that teaches and deploys models in the browser. TensorFlow has expanded, producing large data sets for machine learning tasks from start to finish. And TensorFlow Lite uses fewer processing energy than a desktop computer to use models on mobile or Internet of Things devices. The biggest update of TensorFlow 2.0 is the integration of Geras into the default API, allowing simpler and faster prototypes.

  1. Chatbot

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.

Built on the complex backend of artificial intelligence techniques such as machine learning and natural language processing, as well as data processing, the natural way in which humans tell computers what to do with a conversation UI, or messaging or speaking. However, there is no need to bother about how to improve your technical teams in the development of a new chatbot. Chatbot engines, such as Dialogflow (owned by Google), do much to create and deploy conversational interfaces for companies. By connecting chatbot engines with developing teams with JavaScript and Node.js capabilities, companies can adopt chatbot technology without completely reorganizing them.

  1. 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.

  1. OpenCV

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.

OpenCV holds Python, C ++, and Java interfaces and covers macOS, iOS, Linux, Windows, and Android operating systems. The library supports facial, gesture, and target recognition applications. This technology is only accessible to high-level scholars, but thanks to OpenCV, professionals with JavaScript knowledge can develop computer vision designs.

  1. 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.