Business Intelligence Companies In Usa – Artificial intelligence is starting to be used in almost every industry from customer call centers and finance to drug research. Yet this field is also plagued by relentless hype, opaque jargon and esoteric technology making it difficult for outsiders to identify the most interesting companies.
Partnered with venture firms Sequoia Capital and Meritech Capital to create our second annual AI 50, a list of US-based private companies that are using artificial intelligence in business-oriented ways. To be included, companies must be privately held and focused on techniques such as machine learning (where systems learn from data to improve tasks), natural language processing (which allows programs to “understand” written or spoken language), or computer vision. (which relates to how the machine “sees”). Incubated private AI companies, mostly funded or acquired by large technology, manufacturing or industrial companies—including some leading autonomous vehicle developers—are not eligible for consideration.
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The list was compiled through an open submission process for any AI company in the US. The application asks companies to provide details about their technology, business model, customers and finances such as funding, valuation and revenue history (companies have the option to send information confidentially, to encourage greater transparency). total,
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Received about 400 entries. From there, our VC partners applied an algorithm to identify the 100 with the highest quantitative scores and then a panel of eight AI expert judges identified the 50 most compelling companies.
“It’s not about creating some magic algorithm,” said judge Anima Anandkumar, a Caltech professor and director of Nvidia’s machine-learning research. “Focus on the problem and impact side.”
Among the notable trends this year: Augmented intelligence, which seeks to help humans do their jobs better and not replace them, is on the rise as the excitement over full automation loses some steam.Self-driving tech startups remain hot; These autonomous vehicle companies on this year’s list have raised more than $3 billion in total venture capital. Another area to look at: Applications to find drugs or diagnose diseases faster. Across the board, AI 50 founders agree that Covid-19 has accelerated or permanently altered the spread of AI.
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In terms of valuation, at least 10 of the AI 50 are worth $100 million or less, while 13 unicorns are worth $1 billion or more. Silicon Valley remains a hub for AI startups, with 34 of the 50 honorees coming from the San Francisco Bay Area.
Always on the lookout for promising AI companies. So if you know of any other among our AI 50, please email us at [email protected] only a great dashboard, the whole data experience. We’re strong and we look good—it doesn’t matter if we’re alone or posted. No data silos. No performance limits. It’s just a coincidence. No other platform provides the data horsepower to power an advanced analytics experience for any organization.
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Even as machine learning applications and perceptual platforms become commonplace, a thick layer of hype and fuzzy jargon clings to AI-enabled software. That makes it difficult to identify the most interesting companies in the space—especially those that are finding new ways to use AI. create value by making people more efficient, not excessive.
Has partnered with venture firms Sequoia Capital and Meritech Capital to create our third annual AI 50, a list of promising North American private companies that use artificial intelligence in ways that are critical to their operations. To be considered, businesses must be privately held and use machine learning (where systems learn from data to improve tasks), natural language processing (which allows programs to “understand” written or spoken language) or computer vision (related to how. machine “see”). AI companies incubated in, mostly funded through or acquired by large tech, manufacturing or industrial companies are not eligible for consideration.
Our list is compiled through a submission process open to any AI company in the US and Canada. The application asks companies to provide details about technology, business models, customers and finances such as funding, valuation and revenue history (companies have the option to submit information confidentially, to encourage greater transparency).
Received several hundred entries, of which nearly 400 qualified for consideration. From there, our data partners apply an algorithm to identify the 100 companies with the highest quantitative scores – and which also make diversity a priority. Next, a panel of AI expert judges evaluated the finalists to find the 50 most interesting companies (they were prevented from judging companies in which they had an interest).
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Among this year’s trends are what Sequoia Capital’s Konstantine Buhler calls AI workbench companies—building platforms suitable for different businesses, including Dataiku, DataRobot Domino Data and Databricks. Health and biotech research, such as that conducted by Komodo Health, Genesis Therapeutics and Verge Genomics, remains a key area for advanced AI, such as computer vision, and companies such as Viz.ai and AMP Robotics are using the technology to improve health care and waste recycling. . Companies that rely on natural language processing, such as Duolingo, Lilt and Whisper, which develop AI-enabled hearing aids, are another core category. Autonomous vehicles are again represented on the list, this year by Gatik, which sees the “middle mile” of driverless delivery as a profitable, early target market.
Looking ahead, judge Andrew Ng, founder of Google Brain, cofounder of Coursera and founder and CEO of Landing AI, sees more opportunities for AI to help manufacturers and healthcare providers with data tailored to their specific needs.
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This 2021 list has 31 companies appearing for the first time, while seven have qualified for three consecutive years. In terms of valuation, at least 13 of the AI 50 are worth $100 million or less, while 13 unicorns are worth $1 billion or more. Silicon Valley remains a hub for AI startups, with 37 of the 50 honorees coming from the San Francisco Bay Area.
This year’s judges include: Tonya Custis, director of AI research, Autodesk; Michael Jordan, professor of computer science, University of California, Berkeley; Xuezhao Lan, founding and managing partner, Basis Set Ventures; Andrew Ng, cofounder, Coursera; computer science adjunct faculty, Stanford University; Fay Cobb Payton, professor of information technology and analytics, North Carolina State University; Gill Pratt, CEO, Toyota Research Institute; chief scientist, Toyota Motor Corp.; Carol Reiley, entrepreneur and AI scientist; former president, Drive.AI; and Raquel Urtasun, professor of computer science, University of Toronto.
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