How to Improve Efficiency and Reduce Data Waste
All the data in the world means nothing if you don’t know what to do with it. This is a problem many companies are currently
All the data in the world means nothing if you don’t know what to do with it. This is a problem many companies are currently
The study was a page-turner: Researchers at Google showed that an artificial intelligence system could predict acute kidney injury, a common killer of hospitalized patients,
Today, data is undoubtedly a leading driver of business success. How well a company is able to leverage insights from the ever-increasing wealth and complexity
Relying on mass distribution and promotions have historically been ways for consumer goods companies to connect with consumers at scale — PepsiCo sought a more
Despite the widespread application of analytics dashboards and data-driven KPIs across the C-suite, most senior marketing teams are utilizing data primarily for backward-looking analysis to
Cities are complex ecosystems that are evolving fast and — like citizens — becoming increasingly digital. By 2025, the total number of global internet users
The effect of AI in the marketing world has been nothing but revolutionary over the past few years. Research by Harvard Business Review reveals that
Data is everywhere. Therefore, the problem businesses often face is not how to get more data, but how to use data that they already have.
Good health is a fundamental need for all of us. Hence, it’s no surprise that the total market size of healthcare is huge. Developed countries
Today, the wide and diverse world of marketing seems unrecognisable from its various incarnations before the era of interconnectivity and super-fast data. Where focus groups
Some people have begun trusting machines more than humans when it comes to cyber-security, or so says a global research, but most still have doubts.
Decision makers in the $15 trillion commercial real estate industry are forced to make huge decisions based on insufficient data. Surveys are expensive and slow.