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Estée Lauder’s Journey to Building Its Own Ethical AI Practice This article is part of a series featuring big brands that are building responsible AI solutions to solve real problems—and what we can learn from them. To receive more trustworthy
Is Your Organization Ready for AI? Answer These Questions to Find Out. You don’t have to look very hard to discover the benefits that artificial intelligence (AI) offers your organization. After all, AI reduces human error, gladly does repetitive tasks,
Journal of an AI Translator: A Marketer’s Journey Through the Land of AI Entry #3 – Unintended Consequences I recently got married, which got me thinking about unintended consequences. A wedding is a great example of where things that you
When many people think of AI, robot butlers and self-driving cars come to mind. These technologies are “stand alone” solutions that do not require much human interaction but do require a huge up-front cost. However, there is another branch of
At Pandata, we hang our hat on educating clients and our community about AI in an approachable and jargon-free manner. This isn’t something that just happened overnight though. It takes a concerted effort to work with our solutions team on
Whether you are a business owner wading through the sea of marketing tools or the lone marketer in an organization trying to keep up, there are some tried and true basics to set the foundation for marketing success. “Success” isn’t
The Internet of Things (or IoT) has been hailed as the next big thing to revolutionize manufacturing. A series of sensors can be attached to manufacturing equipment to continuously measure machine status, output, temperature and other factors that influence production,
Call it Machine Learning or Artificial Intelligence, the goal is to solve problems using data. Solving problems using data is the driving force behind data science. Everything else is just a weapon in our arsenal. Yet, we see the buzzwords
Last month, I attended Cleveland’s inaugural Blockland Solutions conference with the goal of wrapping my head around blockchain. This technology has the promise of disrupting the internet with a variety of applications ranging from financial transactions to media and digital
By Hannah Arnson & Joseph Homrocky Data science is often thought of as a black box – in goes data, outcomes actionable information. Inside that black box lives a complex mix of programming, mathematics, statistics, hardware, and software, each
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