The combination of artificial intelligence and automation has provided the tech-driven world with intelligent automation to boost productivity in multiple industries. The applications of intelligent automation technology have transformed the business operations of several different companies in the 21st century, especially after the outbreak of the coronavirus pandemic. The emergence of AI in the 21st century has provided successful robotic process automation, advanced data and analytics, and many more. The business domain considers that the hype is likely increasingly transforming into reality with artificial intelligence algorithms. Intelligence automation has offered to provide many more smart operations to help human employees with creativity while putting less focus on regular mundane tasks. Yet, some of the promises are not fully utilized in multiple industries.

Artificial intelligence is showing its inevitable functions through AI models in multiple industries across the world in these recent years. Tech companies are highly instigated to leverage artificial intelligence to gain a competitive edge in the market with enhanced customer satisfaction and better customer engagement while manufacturing AI models. Investors tend to be in a risky position in the cryptocurrency market due to its volatility with the cryptocurrency prices. But artificial intelligence stocks provide stability to gain higher revenue in the nearby tech-driven future. Thus, let's explore some of the top AI stocks in October to provide growth in revenue to investors.

Where does your enterprise stand on the AI adoption curve? Take our AI survey to find out. Anyline, a company that builds mobile data capture and scanning technologies for multiple industries, has raised $20 million. Founded out of Vienna, Austria, in 2013, Anyline has developed a range of data capture products such as barcode scanning, optical character recognition (OCR)-powered document scanning, biometric face authentication, serial number scanning, and even driving licensing scanning which enables retailers to easily verify a person's age and identity at the point-of-sale or curbside pickup. Elsewhere, police forces can integrate Anyline's technology to scan all manner of IDs and vehicle license plates to verify drivers instantly, which not only speeds things up but also reduces the chances of errors through traditional manual processes such as typing or broadcasting data across radio. This, according to Anyline CEO and cofounder Lukas Kinigadner, is perhaps the number one benefit Anyline brings to organizations across the spectrum.

Robotics and artificial intelligence (AI) provider Covariant is planning to scale up its technology for automated material handling applications across multiple industries, thanks to $40 million in new venture capital funding announced today. Berkeley, California-based Covariant raised the "series B" funding in a deal that was led by Index Ventures, along with Radical Ventures and participation from existing investor Amplify Partners and others. The investment raises the firm's total funding to $67 million, and will be used to accelerate Covariant's partnerships, introduce AI Robotics to new industries, and grow its research, engineering, and commercial teams, the firm said. The latest funding follows Covariant's moves to build partnerships with industrial robotics supplier ABB and with intralogistics systems supplier Knapp, both intended to accelerate the deployment of robotic stations to customers. "As the coronavirus crisis has exposed serious frailty in the global supply chain, we're seeing more demand than ever for our AI Robotics solutions," Peter Chen, Covariant's CEO and co-founder, said in a release.

Compared to a few years ago, the artificial intelligence (AI) market is starting to solidify around real-world applications with the pace of change being faster than it ever has been before, as startups and technology providers rush to create platforms and targeted niche solutions for solving specific enterprise problems. According to a new report from Tractica, the rising tide of AI adoption across multiple industries will drive significant growth during the next decade, and the market intelligence firm forecasts that annual worldwide AI software revenue will increase from $3.2 billion in 2016 in 2016 to $89.8 billion by 2025. This forecast is a significant upgrade of Tractica's previous projection for AI market revenue, which was published in 2Q17, due to an improved outlook for a number of specific use cases across multiple industries. "Artificial intelligence is already key to how consumer internet companies operate today, allowing them to roll out hyper-personalized services by following an'AI first' strategy," says research director Aditya Kaul. "The rest of the market in the enterprise and government sectors is still catching up on adopting AI and has yet to fully understand its value, including the breadth and depth of use cases, the technology choices surrounding AI, and the implementation strategies."

As we continue our digital transformation journey and just headed into 2020, we will go over each Technology Trend that is already impacting our lives or soon will. Machine learning („ML") is one of those digital trends that will become more and more relevant to us all. Machine Learning is an application of Artificial Intelligence („AI") with the objective to search and find relevant patterns within different data-sources with the use of sophistic mathematical models. When such patterns are detected, these results can be used for multiple purposes in AI applications or use cases. Machine Learning provides results on the basis of historical data, which gets more and more real-time as sensors from Internet of Things („IoT") fuels large datasets in milliseconds. The quality – and the performance – of these patterns (models) is highly dependent on both the quality and quantity of the data that was used to ‚train' it. Side note: don't rely on Machine Learning to change bad or inconsistent data too useful data. To date, Machine Learning has been used in multiple industries with different use cases. According to independent research, the global Machine Learning market is expected to grow at a CAGR of 48.3% to reach $19.40 billion by 2023, during the forecast period of 2018-2023. More and more organizations are starting ML-centric projects to gain market share with new business models driven on ML outcome. Pinterest uses Machine Learning to find patterns in pictures to enhance their spam moderations and content discovery for advertising. This application of ML and AI enhances the end-user experience and drives additional revenue to Pinterest. Allot of websites have already implemented chatbots to enhance their user experience. Chatbots are the small'pop-up screens' that make you believe that you are directly talking to a service representative, instead, you are ‚interfacing' with an AI that uses ML to provide you with accurate answers or solutions. If for whatever reason, the solution cannot be found or processed, you could be connected to a service representative. I need to say'could' as some websites already 100 percent rely on chatbots. This allows organizations to lower personal costs whilst in parallel increase user experience as for example, no waiting times apply for ‚talking' to a service representative. Twitter is using the ML patterns to protect users from spam and evaluates each tweet in real-time to ‚score' them according to various metrics. Ultimately, the Twitter algorithms then display tweets in your feed that are likely to drive the most engagement. The decisions, which show up in your feed, can be adjusted on your individual preferences resulting again in higher engagements. Salesforce, a global Customer Relationship Management („CRM") software company, uses AI (which they named ‚Einstein') to predict new leads and/or when you should follow up on a specific email or phone call.

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SparkCognition, a global artificial intelligence (AI) leader that builds AI technology to advance the most important interests of society, announced the close of its Series C funding of $100 million led by March Capital Partners. With overall funding of $175 million since its inception in 2013, SparkCognition is now one of the most valuable startups in Texas and one of the most valuable AI startups in the United States. "In a short few years, SparkCognition has proven itself to be one of the leading industrial AI companies in the world," said Sumant Mandal, Managing Director and co-founder of March Capital Partners. "We are proud to lead their Series C round, and look forward to working closely with the company to drive its success even further." SparkCognition builds AI technology for industrial applications–revolutionizing the way industries like oil and gas, defense, utilities, aviation, and financial services manage such critical functions as efficiency and safety.

Robots aren't replacing everyone, but a quarter of US jobs will be severely disrupted as artificial intelligence accelerates the automation of existing work, according to a new Brookings Institution report. The report, published Thursday, says roughly 36 million Americans hold jobs with "high exposure" to automation – meaning at least 70 percent of their tasks could soon be performed by machines using current technology. Among those most likely to be affected are cooks, waiters, and others in food services; short-haul truck drivers; and clerical office workers. "That population is going to need to upskill, reskill, or change jobs fast," said Mark Muro, a senior fellow at Brookings and lead author of the report. Mr. Muro said the timeline for the changes could be "a few years or it could be two decades."

There's no doubt that AI adoption is increasing, in fact, a recent article from Forbes stated that 80 percent of business are investing in AI. Oracle CEO Mark Hurd agrees and is betting the fortunes of Oracle on the fact that more than half of enterprise data will be managed autonomously by 2020. "The future is autonomous," Hurd told the audience, during his keynote speech at Oracle CloudWorld in New York. If you like some, and are in the "AI isn't mature enough" or "we don't need it in our niche" category here are some thoughts from the experts and practitioners on why now is the time to be looking at how AI could impact your industry, disrupt your business or give you a leg up on the competition. What that means, Hurd said, is that Oracle will be using machine learning to make app and data integration, analytics and system and identity management autonomous.