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At the end of the year 2020, Many AI software has come into the market. There are many AI vendors or companies that use AI Softwares in their artificial intelligence  solutions . There big companies like Google, Microsoft, TCS etc companies use AI software in their projects.  Also Read:  Top 10 Fantasy Cricket Apps List in 2024 Now here I am sharing the best 5 AI Software in 2021-22. You can find it easily here:  1.  TensorFlow TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. Read More 2.  ChatBot A ChatBot is a natural language understanding framework that provides business intelligence  services to create intelligent conversational and AI-powered chatbots that engage with customers and handle their inquiries without a h

According to Gartner’s 2019 CIO Agenda survey , organisations that have deployed artificial intelligence (AI) grew from 4% to 14% between 2018 and 2019. Also Read:  Top 10 Fantasy Cricket Apps List in 2024 In this post, we will know the best 7 A rtificial I ntelligence A rticles of 2019-20 . Most readers read these articles to gain knowledge of AI. 1. 5G in Trending Technologies Like Artificial Intelligence, AR & VR Statista estimates that the value of the AR market will rise from $5.91 billion in 2018 to $198.17 billion in 2025 – it’s no coincidence that this rise will coincide with the rollout of 5G networks. 2. How Artificial Intelligence Will Impact the Internet of Things? After the evolution of the latest IoT technology , all kinds of machines are run through sensors. We do not need to physically touch the devices to perform. 3. Gartner: Three barriers to AI adoption CIOs are set to include artificial intelligence in their IT strategy. Technic

Cybersecurity, a huge industry worth over $100 billion, is regularly subject to buzzwords. Cybersecurity companies often (pretend) to use new state-of-the-art technologies to attract customers and sell their solutions. Naturally, with artificial intelligence being in one of its craziest hype cycles, we’re seeing plenty of solutions that claim to use  machine learning ,   deep learning  and other AI-related technologies to automatically secure the networks and digital assets of their clients. But contrary to what many AI development company  profess, machine learning is not a silver bullet that will automatically protect individuals and organizations against security threats, says Ilia Kolochenko, CEO of ImmuniWeb, a company that uses AI to test the security of web and mobile applications Also Read:  Top 10 Fantasy Cricket Apps List in 2024 Artificial intelligence won’t automate cybersecurity “In cybersecurity today, we overestimate the capacities of machine learning,” Kolochenko