Top 10 AI Companies For 2022 | Top Artificial Intelligence Companies To Watch In 2022 | Simplilearn
This video by Simplilearn is based on the Top 10 AI Companies For 2022. In this video, we will unravel the Top Artificial Intelligence Companies To Watch In 2022. These well-established companies have set the standards for AI and ML in the current IT Industry and are proving their caliber time and again by utilizing the true potential of Artificial Intelligence and Machine Learning.
This video covers the Top 10 AI Companies For 2022 in the following list below.
Google AI
Google AI is a division of Google dedicated to artificial intelligence. CEO Sundar Pichai announced it at Google I/O 2017; Google AI has its headquarters in California
Meta AI
Meta, formerly known as Facebook, is innovating an advanced way of social interaction. Meta has integrated Artificial intelligence, and it's being called the Meta AI.
Databricks
DataBricks LakeHouses combine data warehouses' reliability, performance, and governance with the openness and flexibility of data lakes.
Amazon
The Alexa maker, Amazon, is one of the tech giants interested in adopting AI into its various divisions.
DataRobot
DataRobot has its headquarters in Boston. It is one of the AI Cloud leaders providing a unified platform to its cloud users to accelerate the delivery of AI to the cloud.
Microsoft
Microsoft integrated AI into its cloud computing. Microsoft's AI Platform provides robust solutions to cloud-related problems;
Automation Anywhere
Automation Anywhere is a global robotics automation and software company founded in the year 2003. The company headquarters is located in San Jose California.
AMP AI
While others are busy trying to revolutionize mankind with AI, AMP Robotics came up with an innovative idea that happens to be a kind gesture of gratitude towards nature.
VizAI
Viz-AI focuses on implementing Artificial Intelligence to diagnose and detect abnormalities in the human body via CT, CTA, MRI, X-Ray, EKG, Ultrasound, etc.
🔥Enroll for Free AI Course & Get Your Completion Certificate: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=Top10AICompaniesIn2022&utm_medium=Description&utm_source=youtube
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Artificial Intelligence training videos: https://bit.ly/2Li4Rur
#TopAICompanies #TopArtificialIntelligenceCompanies #TopArtificialIntelligenceCompaniesToWatchIn2022 #AICompanies2022 #Simplilearn #Shorts
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills. You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
6. Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems
👉Learn more at: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=Top10AICompaniesIn2022&utm_medium=Description&utm_source=youtube
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This video by Simplilearn is based on the Top 10 AI Companies For 2022. In this video, we will unravel the Top Artificial Intelligence Companies To Watch In 2022. These well-established companies have set the standards for AI and ML in the current IT Industry and are proving their caliber time and again by utilizing the true potential of Artificial Intelligence and Machine Learning.
This video covers the Top 10 AI Companies For 2022 in the following list below.
Google AI
Google AI is a division of Google dedicated to artificial intelligence. CEO Sundar Pichai announced it at Google I/O 2017; Google AI has its headquarters in California
Meta AI
Meta, formerly known as Facebook, is innovating an advanced way of social interaction. Meta has integrated Artificial intelligence, and it’s being called the Meta AI.
Databricks
DataBricks LakeHouses combine data warehouses’ reliability, performance, and governance with the openness and flexibility of data lakes.
Amazon
The Alexa maker, Amazon, is one of the tech giants interested in adopting AI into its various divisions.
DataRobot
DataRobot has its headquarters in Boston. It is one of the AI Cloud leaders providing a unified platform to its cloud users to accelerate the delivery of AI to the cloud.
Microsoft
Microsoft integrated AI into its cloud computing. Microsoft’s AI Platform provides robust solutions to cloud-related problems;
Automation Anywhere
Automation Anywhere is a global robotics automation and software company founded in the year 2003. The company headquarters is located in San Jose California.
AMP AI
While others are busy trying to revolutionize mankind with AI, AMP Robotics came up with an innovative idea that happens to be a kind gesture of gratitude towards nature.
VizAI
Viz-AI focuses on implementing Artificial Intelligence to diagnose and detect abnormalities in the human body via CT, CTA, MRI, X-Ray, EKG, Ultrasound, etc.
🔥Enroll for Free AI Course & Get Your Completion Certificate: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=Top10AICompaniesIn2022&utm_medium=Description&utm_source=youtube
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Artificial Intelligence training videos: https://bit.ly/2Li4Rur
#TopAICompanies #TopArtificialIntelligenceCompanies #TopArtificialIntelligenceCompaniesToWatchIn2022 #AICompanies2022 #Simplilearn #Shorts
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills. You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
6. Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems
👉Learn more at: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=Top10AICompaniesIn2022&utm_medium=Description&utm_source=youtube
For more updates on courses and tips follow us on:
– Facebook: https://www.facebook.com/Simplilearn
– Twitter: https://twitter.com/simplilearn
– LinkedIn: https://www.linkedin.com/company/simplilearn/
– Website: https://www.simplilearn.com
– Instagram: https://www.instagram.com/simplilearn_elearning
– Telegram Mobile: https://t.me/simplilearnupdates
– Telegram Desktop: https://web.telegram.org/#/im?p=@simplilearnupdates
Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb
