Kirk Borne— a top speaker and digital influencer in the areas of Big Data, Data Science, and AI—works in data science and AI at Booz Allen, where he serves as an Executive Advisor, the firm’s first and only Principal Data Scientist, and in 2019 was named the firm’s first and only Data Science Fellow.
“The passion and technical expertise of the global data science community that is harnessed by the Data Science Bowl is extraordinary. They have been able to push the boundaries of what’s possible in this extremely complex and important challenge.”
-Josh Sullivan, Booz Allen Hamilton senior vice president and artificial intelligence lead
According to a 2019 Gartner survey, 37% of companies are now deploying artificial intelligence (AI) in some form. Yet Gartner also estimates that 80% of analytics insights won’t deliver business outcomes through 2022.
Data flows fast and furious among a distributed workforce, and digitalization and connectivity continue to replace more traditional methods of field and office management as companies strive for ever-greater efficiency and flexibility. This is particularly true for the telecommunications industry, with its large, distributed infrastructure projects and extensive field services workforce, where the availability of fast, seamless communication can make or break a project.
IBM has activated the Traffik Analysis Hub (TA Hub), used by public, private, and not-for-profit organizations as they collaborate to disrupt human trafficking. TA Hub, which uses IBM AI and IBM public cloud, was developed on a pro bono basis and features technology donated by IBM. The system enables authorized organizations, such as financial service companies, NGOs, and law enforcement agencies, to collaborate on a continuous basis.
Dr. Cedric Sims was named National Security/DHS Industry Executive of the Year and Dr. Josh Sullivan was a finalist for Artificial Intelligence Industry Executive of the Year in the 2019 Pinnacle Awards.
AI Fairness 360 is a comprehensive open source toolkit to help researchers and developers detect, understand, and mitigate unwanted algorithmic bias in data sets and machine learning models throughout the AI application lifecycle.
Artificial intelligence and machine learning are becoming foundational technologies used to inform decisions that make a big difference in the world. As a result, addressing issues of bias and fairness in these systems and applications is essential. “AI is now being used in many different consequential applications, from natural language interaction to flagging compliance challenges.
Thanks to the widespread use of new and disruptive technology, every company is turning into a tech company, regardless of industry. Consequently, companies across industries using cutting-edge technologies, like facial recognition, will need to take into account the ethical and human rights implications of these products. What do companies, from healthcare to retail and beyond, need to understand about the responsible use of technology?
Because military and veteran caregivers often work quietly and anonymously to help their family members, they can be hard to identify and support—that’s why the Elizabeth Dole Foundation (EDF) refers to them as “hidden heroes.” A new tool, developed by Booz Allen and EDF, aims to change this picture.