How AI Is Transforming Logistics, Transportation, and Robo-Advisory Companies; Urgency for Early Adoption of AI; and the Ramifications of COVID-19 on Nonprofits

This week, we examine artificial intelligence in the transportation and robo-advisory industries, the need for businesses to be more swift to adopt AI, how coronavirus demonstrates the value of machine learning, and how nonprofits should communicate with donors during the pandemic. 

Four Ways Machine Learning Is Powering the Mobility Revolution

by Swami Sivasubramanian, contributing writer for

From Amazon to Lyft, transportation and logistics (T&L) companies are leveraging machine learning to solve problems and improve their business functions. The technology is creating a “mobility revolution” in areas such as predictive analytics, the development of autonomous vehicles, advanced route mapping, and identifying obstacles. With residential package deliveries growing, the T&L companies that are early to adopt machine learning will be primed for long-term success. 


Digital Transformation: Business Leaders Still Struggling to Cope

by John Edwards, contributing writer for

Although nearly every industry will be disrupted in some way with artificial intelligence (AI), business leaders have shown they are not ready. The massive shift to new digital technologies and big data is overwhelming to implement and manage. As daunting as it might be, companies need to be more proactive in determining how AI and data algorithms can improve each area of their business. They also should focus on hiring the right talent to adapt to the new reality of AI-powered organizations. 


How AI Is Expanding the Applications of Robo Advisory

by Ilker Koksal, contributing writer for

The industry of robo advisory—systems that use algorithms to make financial decisions instead of humans—is one of the many new industries created by advancements in AI. Wealth management and investment companies are implementing robo-advisory practices to reduce the time humans spend analyzing financial data as well as to improve financial outcomes for their clients. AI can analyze vast amounts of data from markets and consumers to better predict risk and optimally manage portfolios according to each client’s needs. 


Communicating With Major Donors During These Times

by Jeff Shreifels, contributing writer for

Nonprofits say it’s a challenge to request large donations during the COVID-19 pandemic. However, evidence shows that donors with extra resources want to help nonprofits in any way possible. That said, there are some steps that nonprofits need to take in order to reach out to large donors in this sensitive time, including researching past giving patterns, having a well-honed script customized for each donor, and even preparing to have more emotional conversations than usual. 


COVID-19 Crisis Illustrates Need for Solid AI/ML Strategy

by Gary Drenik, contributing writer for

The coronavirus pandemic has changed the future landscape for the vast majority of businesses. As leaders rethink sales projections, advertising messaging, and many other aspects of their companies, they are increasingly recognizing the power of AI to find accurate answers at incredible speed. This interview with an AI industry leader addresses how these technologies can help companies both weather the crisis and recover in its aftermath. 



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