Five Emerging Artificial Intelligence Companies
In the digital age, there no shortage of companies touting the descriptors ‘innovative,’ ‘disruptive,’ and so on. This, of course, makes it difficult to parse out truly fresh approaches to core problems across industries.
New to the field of Data Science, I was eager to know what’s out there: in artificial intelligence, machine learning and deep learning, who are the people making waves in unchartered territory? I started my search on Forbes and narrowed it down to five players impacting industries ranging from government to healthcare to manufacturers.
My biggest takeaway? That this is an exciting time to be alive: there are many job possibilities in fields that can actually make a difference for people.
First
“Our mission is to help you focus your attention on the right people at the right time.”
First is a software platform for real estate agents that utilizes artificial and predictive analytics to target people in their network that are likely moving. Its software syncs with the agent’s social media contacts (Facebook, LinkedIn, etc.) and analyzes over 700 data points to suggest to the agent who will need services in the coming months.
For instance, if your high-school friend Suzie just had a child and is posting non-stop baby photos on the ‘Gram, First will send you a message suggesting you set up a meeting with her because they might need more living space.
DataRobot
“We automate the time-consuming and repetitive data science tasks.”
One of the larger companies that I came across was DataRobot, which touts itself as an automated machine learning platform that helps companies solve business problems by finding the best predictive model. Its user-friendly platform allows users to drag a dataset (such as a CSV file) and DataRobot will run machine learning algorithms to analyze your data.
DataRobot systematically compares different open-sourced models using Python’s SciKit-Learn library, R, TensorFlow, Spark, H2O and others enabling everyone from a novice data scientist to a Kaggle Grandmaster to run hundreds of machine learning algorithms in hours. As of August 2018, over 760 million models have been built using the platform.
Deep 6 AI
“Find patients for clinical trials in minutes, not months.”
Pasadena, CA-based Deep 6 AI applies artificial intelligence and natural language processing to find patients that are strong candidates for medical trials. The company’s proprietary software combs structured data (ICD-10 codes) and unstructured medical data such as doctor notes and pathology reports in free-text form that can’t be searched easily.
Deep 6 AI’s algorithms allow hospitals to complete clinical trials faster and take on more research, allow doctors to refer patients to trials faster and allows pharmaceutical companies to accelerate patient recruitment for faster time to market.
Crowd AI
“Satellites capture every inch of the world on a daily basis. Crowd AI transforms these images into meaningful insights.”
Y-Combinator startup Crowd AI is a deep learning company that analyzes aerial satellite photos of everything from fracking wells to infrastructure projects to analyze the change over time.
After Hurricane Michael hit the Florida panhandle WOW!, a Florida telecom provider, partnered with Crowd AI to asses the damage to better prioritize service restoration efforts. Crowd AI determined a set of rules for categorizing building damage, then classified a subset of building footprints which created training data for Crowd AI’s deep learning models, resulting in WOW! allocating resources to areas the that needed it most.
Crowd AI’s platform also enables municipalities to track the improvements made to properties, such as the addition of a swimming pool, to increase property tax assessments and Wall Street analysts to track the progress of fracking in remote parts of North Dakota.
Stratifyd
“Capture all customer interactions and turn them into actionable business intelligence.”
Charlotte-based Stratifyd uses Natural Language Processing (NLP) and machine learning to automatically analyze unstructured data including emails to customer service emails and product feedback such as Amazon reviews. The company’s models will scan the text for certain sentiment words as well as any industry or company specific jargon enabling companies to shorten the feedback loop and give them insight into customer sentiment.
One Fortune 500 company uses Stratifyd to analyze survey data, chat logs, and phone calls to identify emerging topics and trends. Another company, a tool manufacturer, uses Stratifyd to analyze product reviews of its products on Lowe’s and Home Depot’s websites allowing them to keep the finger on the pulse.
