Nasdaq Artificial Intelligence

12-month quantitative forecastOur machine-learning model forecasts that the Nasdaq 100 will have a volatile move down to 11950 by June, a 17% drop from current levels, coinciding with its projected 3-year moving average price. Strong support is expected at that level, enough to p

12-month quantitative forecastOur machine-learning model forecasts that the Nasdaq 100 will have a volatile move down to 11950 by June, a 17% drop from current levels, coinciding with its projected 3-year moving average price. Strong support is expected at that level, enough to p

12-month quantitative forecastOur machine-learning model forecasts that the Nasdaq 100 will have a volatile move down to 11950 by June, a 17% drop from current levels, coinciding with its projected 3-year moving average price. Strong support is expected at that level, enough to p

12-month quantitative forecastOur machine-learning model forecasts that the Nasdaq 100 will have a volatile move down to 11950 by June, a 17% drop from current levels, coinciding with its projected 3-year moving average price. Strong support is expected at that level, enough to p

Twenty years ago, during the internet revolution, we saw many new services, products and companies emerge, and others disappear. Now, we are in the digital age and another revolution is underway.

Every company faces risks, but as ESG continues to accelerate across the investment landscape, RepRisk, the world’s largest ESG data science company, aims to cut through the noise and provide companies and investors with qualitative research and quantitative data on ESG risks.

Global capital markets rapidly accelerated their digitalization journey, leveraging the SaaS model and emerging technologies, according to Faycal Belyazid, Managing Director Middle East & Africa for Nasdaq Market Technology.

Machine learning and artificial intelligence (AI) are no longer the concepts of science fiction – they’re a $1.41 billion industry that is already making big changes to the way we understand and use immense databases for a wide range of purposes.

Policy makers need to implement long term solutions to mitigate further burnout from healthcare workers, mainly by using artificial intelligence (AI).

Artificial intelligence (AI) and machine learning (ML) are playing increasingly important roles in the financial services industry.

We were fortunate to sit down with Divya Prashanth and Janine Miles, cofounders of MySocialPulse, to discuss a range of issues related to fintech innovation, leveraging artificial intelligence (AI) and machine learning (ML) technology to manage compliance, and driving RIA busines

Cancer is one of the most complex diseases that affects humankind, making it an incredibly difficult condition to study and even more difficult to treat.

A task that was impossible for the past century of cancer research is comparatively simple. By analyzing databases, machine learning algorithms can grasp the nuance of each individual tumor within each individual patient, giving researchers a more informed starting point.

Bitcoin gives users a decisive strategic advantage which can be used to consolidate a dominant position, forming a power singleton.

While quantum computing is still in its infancy, it is no ordinary technology. It is attracting huge research efforts and funding by various companies, organizations and even governments.

At a recent Securities Traders Association conference, Nasdaq’s Head of North American Markets Tal Cohen spoke about how the company is adapting to increased competition, leveraging emerging technologies and bolstering the sports betting market.

Get advice for ethically developing and implementing AI projects that make work more fulfilling and build trust with your clients.

Get advice for ethically developing and implementing AI projects that make work more fulfilling and build trust with your clients.

How brands interact with customers today is vastly different than how they did in early 2020. 

While humans can develop robots that adapt to our behaviour and essentially get along with us, an ongoing challenge remains on how to get humans to get along with the machines.