Why Current Sentiment Analysis Models in AI Are Not Helping Business Get on Top of Their Big Data Problem
In the digital age where products and services are showcased on a variety of online platforms, sentiment analysis models allow businesses “to understand emotional tones in speech and print” using artificial intelligence. It is essential for all businesses to understand the emotional response of the market to their product, whether it be positive, negative, or […]
3 Reasons Why Third-party Cyber Risk Assessment is so Critical
3 Reasons Why Third-party Cyber Risk Assessment is so Critical “In my opinion, third-party risk is the biggest risk facing organizations right now. Most businesses simply don’t have the capacity to do their due diligence on third-parties, and it only takes one bad apple in the supply chain to create huge risks.” Charles Denyer, co-founder […]
Business Threats Can’t Be Solved Without Artificial Intelligence
In a 2012 article by the New York Times, Gary King, director of Harvard’s Institute for Quantitative Social Science, made a bold prediction at the time when he said that “the march of quantification, made possible by enormous new sources of data, will sweep through academia, business and government. There is no area that is […]
AI Can Help Fight Cyber Attacks
The ability to proactively identify anomalous activity and potential attacks before they can do major damage is one of the biggest benefits of tech-driven cybersecurity. In a report published earlier this year, Siemens provided a thorough analysis on why companies are lagging behind when it comes to building strong defenses against cyberattacks, and their clearest […]
Managing Supply Chain Risk in a Post-COVID World
Although the full effects of the pandemic are still unknown, it is never too early to start mapping out what the future might hold for our supply chains, and how to manage risk within them. Early research and analysis is encouraging, pointing towards companies across industries making major changes in the way they adapt supply chains to be more conscious of the known and unknown risks that they face.
Why is risk so hard to predict in the time of Big Data and AI?
Why is risk so hard to predict? What methods have companies tried in the past and why are they insufficient? What role can big data and artificial intelligence play?
