Several times over the past year, Matthew Botvinick has carried out an informal test that illuminates perhaps the biggest challenge facing today’s artificial intelligence (AI). He chooses a program engineered to respond to natural human language, and asks a seemingly simple question: “What am I wearing?” Now, these are state-of-the-art

Private Equity (PE) firms are facing increasing competition, inflation, market volatility, and other geopolitical and macroeconomic pressures – the confluence of all of these factors is unprecedented in recent history. In the face of these challenging market dynamics, the tried-and-true PE playbook is insufficient to increase value for investors, and

While artificial intelligence and machine learning hold great potential for chatbots, there is still a long way to go before the role of a human tech support specialist or customer service representative can be completely replaced. Machine learning chatbots will undoubtedly improve greatly in the upcoming years given the large

With the right technical infrastructure and data-literate work culture, the challenges with the adoption of data science and machine learning technologies can be easily addressed. Successful companies today need to be data driven. A survey by NewVantage Partners found that 92% of organizations are increasing their investments in data and artificial intelligence

Deep Learning is a terminology that is frequently used interchangeably with machine learning; however, it is not the same thing. Machine learning is a sort of artificial intelligence in which a computer learns to accomplish something without being instructed to do so. DL, on the other hand, is the process by which machines learn to perform