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
Where To Look for Legitimate Responsible AI Standards Until now, regulating AI design and development has largely been left up to individual interpretation. Organizations controlled the level of risk mitigation and ethical compliance involved with their ML models, and many
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,
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
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
There is no doubt that data science is revolutionizing the business world and the companies that aren’t investing in it are being left behind. With all the hype around the data scientist, with skills that span advanced mathematics, database manipulation, statistical
Midwest Industrial Supply Case Study – September 26, 2018 Midwest Industrial Supply specializes in environmentally friendly dust control applications, operating out of a series of regional satellite offices. When pricing a new spray opportunity, the sales team is incentivized to
A large sales organization recently implemented an analytics strategy, with one of their critical metrics being lead conversion. The target number was set and reporting tools were put in place. Each sales team was scored on this metric, and the
As we usher in 2018, organizations are faced with new challenges but also many of the same that come year after year. What we didn’t get to in 2017 still stares us in the face. Was data strategy one of