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<\/p>\nArtificial Intelligence Companies are baking some mind-blowing goodness this year and I’m about to tell you all about them here!<\/p>\n
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By the end of this article, you\u2019ll have an industry-insider perspective on the 13 smartest artificial intelligence companies according to Forbes in 2020.<\/span><\/p>\n Even if you’re a seasoned data professional, these startups are going to blow your mind. Believe me – they\u2019re awesome – and I\u2019ve been in the industry full-time since 2012. <\/span>I help data professionals transform into world-class data leaders and entrepreneurs\u2026<\/span><\/p>\n Data professionals like Kam Lee, who took his AI startup to $350k<\/strong> with a 67% profit margin<\/strong> within his first year of working with me.<\/span><\/p>\n As for the background on the list that I\u2019m about to share with you, you may know that back in 2016, MIT produced a list of their recommended smartest artificial intelligence companies. They followed it up with a 2017 listing and then they discontinued the series.<\/span><\/p>\n Back in 2016, the forerunners for smartest AI companies were IBM, Line, Facebook, NVIDIA and Tesla. These are huge name brands, so of course, they would be in the smartest artificial intelligence companies list and lots has changed in this year\u2019s listing.<\/span><\/p>\n If you prefer to read instead of watch, then read on\u2026<\/em><\/p>\n In 2020, Forbes produced a list of America\u2019s most promising artificial intelligence companies. Within that listing, they categorized the companies into 13 different categories. So in this article, I\u2019ve taken my favorite pick from among these 13 categories representing each category with a company.<\/span><\/p>\n These are the criteria I used to pick these companies:<\/span><\/p>\n They perform recycling and reuse on behalf of humans. The technology they created is an absolute game-changer. WHY? Because it impacts the long-term sustainability of the planet for our grandchildren onwards.<\/span><\/p>\n Let me give you a little statistics to try to paint a picture of how huge this problem actually is:<\/span><\/p>\n Every year, people are producing over > 800,000 tons of waste. Imagine an Olympic-sized swimming pool filled with garbage. That is actually the volume of garbage that is being produced by the human population every single year. Now, 46% of that waste is disposed of unsustainably where it could have been recycled or reused.\u00a0<\/span><\/p>\n Now, AMP Robotics combines the power of deep learning, computer vision and robotics to automate waste sorting, thereby reducing waste sorting costs by >70%. That truly is a game-changer for the waste management industry.<\/span><\/p>\n Look, I get it – no one likes personal surveillance but you also don\u2019t like to have to worry about bombs going off in the mall when you go shopping on a Friday night, right? Well, that actually happened to me – a bomb went off in a mall right below me and I live in a place where there\u2019s no surveillance whatsoever.<\/span><\/p>\n Companies like Anduril Industries are vital for keeping people safe, so you can enjoy a great quality of life, right?<\/span><\/p>\n The United States has 7,000 miles of border to defend, of course most of that distance is inert. But still, you need some sort of surveillance in place to monitor when there are some \u201coutlier” events.<\/span><\/p>\n Now, what Anduril really does is it provides intel automation. It combines sensor data collection, computer vision, renewable sources, and drone technology to produce security devices that have a low-carbon footprint yet produce tremendously accurate security intel within minutes.\u00a0<\/span><\/p>\n Back in mid-December 2020, the US government suffered a huge cyber attack. But apparently, the intruders were inside the system for 9 entire months before they were exposed. They were in places like the government’s most critical agencies \u2013 including the departments of State, Homeland Security, Treasury and Commerce, and more.<\/span><\/p>\n Senator Romney said that, “They had the capacity to show that our defense is extraordinarily inadequate; that our cyber warfare readiness is extraordinarily weak.”\u00a0<\/span><\/p>\n But, had the government been using tech like Blue Hexagon, it\u2019s very likely that the intruders would have been detected faster than 9 months, hopefully within just a few milliseconds.\u00a0<\/span><\/p>\n It essentially lowers the staffing requirements for companies in order to implement AI. One of the biggest barriers for modern companies in keeping up with technology and staying tried and true on a competitive landscape is access and capability to hire data professionals, specifically data scientists. Data Robot Software helps solve this problem because it:<\/span><\/p>\n <\/p>\n I actually interviewed Ow<\/strong><\/span>en Zhang<\/strong>, who was the Chief Product Officer \/ Advisor at DataRobot for the longest time. If you wanna hear from him on how he won the Kaggle competition, you can watch the interview <\/a>here.<\/p>\n Personally, I see a huge area of opportunity for data professionals in this market because it\u2019s got a low barrier of entry + low cost of customer acquisition.<\/span><\/p>\n In fact, a lot of the drift chatbots are not even AI-enabled, they are rules-based chatbots. To easily and quickly get people through the door, Drift offers a FREEMIUM product. It helps them automate lead generation and increases word of mouth marketing. Their paid services include:\u00a0<\/span><\/p>\n The reason I find it really cool and a prime opportunity for data professionals is because it has a low barrier of entry for anyone that ever worked with GIS technologies. A lot of data that SafeGraph is using to produce its products comes from governments and public data sets. They form data partnerships where they get anonymous mobile data that gives commercial activities and where they\u2019re happening. They combined that with government and public data sets and they resell it.<\/span><\/p>\n I took the liberty to check out their terms and conditions and their data privacy policy because it was pretty interesting. They said, <\/span>\u201cWe obtain a variety of information collectively from trusted third-party partners, such as mobile application developers.\u201d<\/span><\/i><\/p>\n So basically, they are partnering and buying data, recombining it and selling it to retail companies. In terms of the AI that their technology uses, this is going to come down to pretty simple stuff like clustering and nearest neighbor classifications\u2026most of which can be done on a click and point basis inside of any sort of GIS.<\/span><\/p>\n On a side note, this is a classic example of a data monetization business model. They get the data from a data partner, convert it to the format needed by retail consumption, and sell it to them.<\/span><\/p>\n Regardless of what you think about the ethics of that, the company made it on Forbes top 50 list so the status quo says, that\u2019s okay.\u00a0<\/span><\/p>\n Why does this represent a market opportunity for data professionals? Because this is just really a Robotics Process Automation (aka; business process outsourcing). This area has a low barrier of entry, but it requires a setup and configuration time which makes it lucrative for data entrepreneurs and it offers a huge ROI for their clients.<\/span><\/p>\n UiPath distinguishes itself pretty well by using AI to build more efficient robots – quite a bit more sophisticated than website chatbots. They are either rules-based or as sophisticated as implementing computer vision.<\/span><\/p>\n This is a huge market opportunity for data professionals because it actually has a very low barrie<\/span>r of entry. It\u2019s really not that hard to develop a SaaS application that uses ML and rules to deliver these types of insights.<\/p>\n <\/p>\n <\/p>\n I did a video on how Humana uses chatbots <\/a><\/strong><\/span>in order to assist their customer service agents in real-time in order to increase their customer service quality and retain their customers. You can watch it here<\/a>.<\/p>\n There is quite a \u201ccool factor\u201d on this one. The Biofourmis AI based ecosystem compares data on 20 or more variables that they collect from signals off of their wearable devices. Not only that, but they are collecting data on these wearables from millions of people in REAL TIME. The result of all this is a powerful pattern recognition. This is designed to help physicians predict and prevent any health deterioration before it happens.\u00a0<\/span><\/p>\n This means you don\u2019t have to call in or fill up a long form or go to an office to see anyone. You just need to do the following:<\/span><\/p>\n How incredible is that?!<\/strong><\/p>\n They use AI to learn the user’s voice then suppresses noise that isn\u2019t that voice (i.e., knocking or slamming the door, kids running, etc.) It\u2019s so easy to set up and you can try it for free, then it\u2019s only $5 a month!<\/span><\/p>\n They developed a Wafer-Scale Engine (WSE) that is larger than any chip on the market:<\/span><\/p>\n How does it compare to NVIDIA\u2019s largest GPU?<\/span><\/p>\n Cerebras\u2019 WSE has <\/span>1.2 trillion<\/b> transistors while NVIDIA\u2019s A10 has 54.2 billion<\/strong> transistors.<\/span><\/p>\n How could that not be cool?!? You can install self-driving into your Toyota Prius or the Mercedes Benz you already own and it would drive and operate like a Tesla!<\/span><\/p>\n In 2019, Ghost raised 63.7 million to develop and deploy this technology to be released in 2021. It has eight high-definition cameras that installs in your car and deploys computer vision and it\u2019s only $3,495<\/strong>!<\/span><\/p>\n <\/p>\n I know we just discussed a crap-ton of awesome new tools and innovation made by these artificial intelligence companies, but if you\u2019re a data geek like me, then you\u2019re probably down to see some more\u2026<\/span><\/p>\n If that\u2019s you\u2026I\u2019m giving out a FREE Toolkit<\/strong> for New & Aspiring Data Entrepreneurs<\/strong> – It\u2019s a collection of the top 32 Tools & Process That\u2019ll Actually Grow Your Data Business<\/strong>.\u00a0<\/span><\/p>\n Download the <\/span>Data Entrepreneur Toolkit here<\/a><\/strong>.<\/span><\/p>\n NOTE: This description contains affiliate links that allow you to find the items mentioned in this video and support the channel at no cost to you. While this channel may earn minimal sums when the viewer uses the links, the viewer is in NO WAY obligated to use these links. Thank you for your support!<\/p>\n![\"An](\"http:\/\/data-mania.com\/blog\/wp-content\/uploads\/2021\/02\/kam-lee-300x300.png\")
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LASTING IMPACT AI Companies<\/strong><\/h2>\n
#1 Environmental Engineering<\/h3>\n
AMP Robotics – makes robots that identify and sort waste.<\/h4>\n
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#2 Defense<\/strong><\/h3>\n
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Anduril Industries – builds surveillance systems for national intelligence.\u00a0<\/b><\/h4>\n#3 Cyber Security<\/strong><\/h3>\n
Blue Hexagon Cybersecurity – detects network and cloud cyber security attacks.<\/b><\/h4>\n
#4 Software Development<\/strong><\/h3>\n
DataRobot Software Development – makes software for companies to develop AI models.<\/b><\/h4>\n
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Market Opportunity AI Companies<\/strong><\/h2>\n
#5 Productivity Software<\/strong><\/h3>\n
Drift – builds chatbots to automate customer interactions.<\/b><\/h4>\n
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#6 Database Software<\/strong><\/h3>\n
SafeGraph – creates data sets by tracking commercial activity.<\/b><\/h4>\n
#7 Workflow Software<\/strong><\/h3>\n
UiPath – creates bots that carry out repetitive processes.<\/b><\/h4>\n
#8 Customer Service\u00a0<\/strong><\/h3>\n
Cresta – assists customer service agents in real time.<\/b><\/h4>\n
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Tangible Impact AI Companies<\/strong><\/h2>\n
#9 Healthcare<\/strong><\/h3>\n
Biofourmis – monitors patients\u2019 health using wearables.\u00a0<\/b><\/h4>\n
#10 Financial Services<\/strong><\/h3>\n
Lemonade – uses bots and bots alone to sell insurance on the internet.\u00a0<\/b><\/h4>\n
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#11 Communication Software<\/strong><\/h3>\n
Krisp Technologies – removes background noise from calls.<\/b><\/h4>\n
#12 Hardware<\/strong><\/h3>\n
Cerebras Systems – builds computer chips for AI use.\u00a0<\/b><\/h4>\n
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#13 Automotive<\/strong><\/h3>\n
Ghost – develops self-driving technology for installation into conventional cars.<\/strong><\/h4>\n
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