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Top 100 Artificial Intelligence Companies 2020

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As artificial intelligence has become a growing force in business, today's top AI companies are leaders in this emerging technology. Often leveraging cloud computing, AI companies mix and match myriad technologies. Foremost among these is machine learning, but today's AI leading firms tech ranging from predictive analytics to business intelligence to data warehouse tools to deep learning. Entire industries are being reshaped by AI. RPA companies have completely shifted their platforms. AI in healthcare is changing patient care in numerous – and major – ways. AI companies are attracting massive investment from venture capitalist firms and giant firms like Microsoft and Google. Academic AI research is growing, as are AI job openings across a multitude of industries. All of this is documented in the AI Index, produced by Stanford University's Human-Centered AI Institute. Consulting giant Accenture believes AI has the potential to boost rates of profitability by an average of 38 percentage points and could lead to an economic boost of $14 trillion in additional gross value added (GVA) by 2035. In truth, artificial intelligence holds not just possibilities, but a plethora of risks. "It will have a huge economic impact but also change society, and it's hard to make strong predictions, but clearly job markets will be affected," said Yoshua Bengio, a professor at the University of Montreal, and head of the Montreal Institute for Learning Algorithms. To keep up with the AI market, we have updated our list of top AI companies playing a key role in shaping the future of AI. We feature artificial intelligence companies that are commercially successful as well as those that have invested significantly in artificial intelligence. AI companies in the years ahead are forecast to see exponential growth in deep learning, machine learning and natural language processing.


157 Artificial Intelligence Platforms to Help You Grow Your Business 60 Second Marketer @AskJamieTurner

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The odds are pretty good that you're using Artificial Intelligence (AI) and Machine Learning (ML) more often than you realize. After all, every time you do a Google search (like the one that probably brought you here), you're using software that has Artificial Intelligence ingrained in its DNA.


Top 4 AI engines to look out for in 2019

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Artificial intelligence (AI) is rapidly transforming everything today, from daily lives to transportation to businesses. Humans have always found the concept of AI very enthralling as is evident from the number of hit sci-fi movies. Scientists and researchers have worked hard on making this technology a norm for the human beings. Enterprises are adopting AI and machine learning (ML) for various use cases, which has risen the demand for AI engines that can be used to develop intelligent applications and tools. Such apps and tools help them automate the repetitive, tedious and difficult tasks that can affect productivity and cost of operation.


Top 15 Artificial Intelligence Platforms - Predictive Analytics Today

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Artificial Intelligence is when a machine mimics the cognitive functions that humans associate with other human minds, such as learning and problem solving, reasoning, problem solving, knowledge representation, social intelligence and general intelligence. The central problems of AI include reasoning, knowledge, planning, learning, natural language processing perception and the ability to move and manipulate objects. Approaches include statistical methods, computational intelligence, soft computing and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics. AI platform is defined as some sort of hardware architecture or software framework (including application frameworks), that allows software to run.


Top 18 Artificial Intelligence Platforms in 2020 - Reviews, Features, Pricing, Comparison - PAT RESEARCH: B2B Reviews, Buying Guides & Best Practices

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Many are the time when businesses have workflows that are repetitive, tedious and difficult which tend to slow down production and also increases the cost of operation. To bring down the cost of production, businesses have no option rather than automate some of the functions to cut down the cost of production. By digitizing repetitive tasks, an enterprise can cut cost on paperwork and labour which further eliminates human error thus boosting efficiency leading to better results. For businesses to gain from the above benefits, they must choose the right automation tools otherwise it will all be in vain. Automating process involves employing artificial intelligence platforms that can support the digitalization process and deliver the same or better results that human being would have achieved. Artificial Intelligence (AI) is when a machine mimics the cognitive functions that humans associate with other human minds, such as learning and problem solving, reasoning, problem solving, knowledge representation, social intelligence and general intelligence.