Almost all data is a recording of past events – what has happened before. People have to explore and analyze it to find historical truth,
Real-time analytical capabilities are an increasingly common focus for enterprises adopting modern analytics solutions, but it’s an end-goal that requires careful evaluation of your business
With more than 300 million users completing more than seven billion language-learning exercises each month, Duolingo offers an example of data science methodology in action.
Imagine that you have applied for a visa for an important business initiative. After a long process of preparation, today is the day. With high
AI is in nearly every application nowadays. A frequently cited IDC statistic has 75% of commercial enterprise apps using AI by 2021. And as AI
From being the plots of sci-fi thrillers to being seen as threats by the working populace, Artificial Intelligence (AI) has during the last few years
In many organizations, data is the product. In most other enterprises, data is an essential component of operations and decision-making. Historically, the access to data
Data shows that harnessing the power of big data canincrease your operations margin by 60%. This means that leveraging big data can make running your
We hear from a data analyst and a data scientist at Aon to learn more about the differences and similarities between the two roles. The
Over the past decade, the discussion surrounding Artificial Intelligence has made waves and garnered more attention. Businesses are working towards adopting AI to harness its
Christie’s made the headlines in 2018 when it became the first auction house to sell a painting created by AI. The painting, named Portrait of
The COVID-19 pandemic can have far-reaching effects on how the financial services industry interacts with customers, and service centers equipped with conversational AI will come
