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Structured and organized data can help accelerate customer acquisition.
Never before have digital, data-driven solutions been so necessary. In today’s saturated ecosystem, the requirement to include verified evidence and exclude biases and falsehoods is absolute.
Marketers struggle to turn data to insights. Data alone doesn’t create a data-driven organization. That is why data analytics must be used effectively from Marketers to improve Customer Experience.
Enterprises’ needs for trustworthy analytics and actionable insights based on brand and consumer generated data will continue growing in 2019.
Stefanos Karagos, Information Scientist, Founder and CEO of XPLAIN, has been interviewed by Fortune Greece on Big Data Analytics and Artificial Intelligence in Marketing.
Artificial Intelligence and Technology in general will play a major role in covering the needs of the modern, more conscious and more demanding traveler.
The Reason So Many Analytics Efforts Fall Short Efforts to adopt analytics upset the balance of power in the C-suite,…
From Mad Men to Math Men: How Data is Changing the Way that Marketers Create Content Today, mathematical algorithms give…
Data is becoming a valuable commodity, like oil in the 20th century. Here’s how companies should be using it.
It’s 2017, and everywhere you turn artificial intelligence is being touted in some portentous- or potentially overhyped- way. AI is the future. So is the cloud. And SaaS. Plus DaaS. Throw in machine learning and you’ll change the world.
Artificial intelligence has an impact on almost every aspect of modern business.
Last month, Econsultancy published the Predictive Analytics Report, in association with RedEye.
Surprisingly enough, less than 0.5% of all data is ever analyzed and used according to Forrester. “Just a 10% increase in data accessibility will result in more than $65 million additional net income for a typical Fortune 1000 company.”
The most important big data trend in 2018 will involve greater integration with artificial intelligence (AI), data science and machine learning.
Big data analytics support strategic decisions in Retail, Search and even Sports.