In this week’s roundup, we learn about the pitfalls of implementing artificial intelligence (AI) too quickly or with unorganized data. We also look at 20 women who stand out in a field that is dominated by men. We examine the fascinating changes happening in personalization marketing and what to expect as this technology develops.
by Salah Kamel, contributing writer for Forbes.com
By now companies know that using data effectively is essential to lowering costs, making smarter decisions, and increasing profits. But large amounts of data are nearly worthless without the assistance of artificial intelligence (AI). AI is necessary to make sense of big data and deliver consequential insights to all sorts of organizations—from banks to retail companies and beyond.
by Elaine Burke, contributing writer for SiliconRepublic.com
It’s well-known across the industry that women are underrepresented in the world of artificial intelligence (AI) and machine learning, but this article proves that there are plenty of women leading the way and speaking their minds about the future of the field. Take Sarah Jarvis of Prowler for example. Jarvis’ company is currently building an AI-powered system that will enable insightful decision-making in a range of complex environments.
by Cynthia Harvey, contributing writer for InformationWeek.com
This article’s author spoke with three leading experts in artificial intelligence (AI), and all agree that many companies have moved too quickly and have failed to reap the benefits they hoped for. But they also see major opportunities for AI in certain areas, including financial services, cybersecurity, and manufacturing.
by Greg Skloot, contributing writer for MartechAdvisor.com
Personalization in marketing is nothing new, but artificial intelligence (AI) is about to change everything we know about it. By gleaning insights from massive data sets about customers’ demographics, habits, purchase behavior, and pretty much everything else you can imagine; AI is set to take personalization marketing to the next level.
by Sachin Vyas, contributing writer for InformationWeek.com
Increasingly, artificial intelligence (AI) is embedded in nearly every aspect of business, and it’s only going to become more ubiquitous. This article takes a look at three things that are driving the huge rush towards AI: faster computation abilities, access to big data, and deep-learning algorithms. However, the author warns that in order for AI to truly deliver valuable insights, companies need to focus on harnessing clean data in an organized fashion.
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