The exponential expansion in information is meaningless to humanity if we can't act on that information. To use the information we amass, we first have to learn how to separate what's useful from what's not. Only then we can identify what's important. Only then can we use it to see ahead. Using information to accurately anticipate the future --world events, market trends, industry disruptions and even societal shifts--is the mission of AppliedXL. The first step in our journey is to do just that for the life sciences industry.
AppliedXL is powered by a network of AI agents that gather and analyze data in real-time. Our systems are trained to look at the data it collects with the learned eyes of scores of experienced journalists. Combining memory, past patterns and occurrences, imagination and "blink-like" machine-intuition, AppliedXL helps you make decisions based on past predictive precedent. AppliedXL notices the telltale signs that are all around us in real time--to tell you what happens next. Before it happens.
We combine the integrity of journalism with the power and speed of artificial intelligence. We’re staffed by computational journalists, engineers, and data scientists obsessed with the future of information.
R&D Chief, The Wall Street Journal, AI Lead, Associated Press, Adjunct, Columbia Journalism School, Affiliate Researcher, MIT Media Lab. Author of the leading book on AI and Journalism.
Automation Editor, The Wall Street Journal; Automation Engineer, Microsoft. Dual MSc CS & Journalism, Columbia; BS Electrical & Computer Eng, Cal Poly Pomona. Led Wired Magazine algorithmic investigation into Twitter election bots.
AppliedXL is an AI and Computational Journalism Company based in New York City. Our team is made up of journalists and machine learning engineers who develop AI systems that embody the principles of a top-tier newsroom: accuracy, speed, and transparency.
At AppliedXL, we decode patterns, forecast trends and analyze future implications, providing industry leaders information advantage.