In this week’s roundup, we take a look at how AI is not just for data scientists—including how AutoML empowers all workers to benefit from it and how it can be used by IT professionals. We examine areas where nonprofits need to reassess due to coronavirus. We also take a look at how the pandemic is disrupting two different areas: predictive analytics and patient data privacy.
by Kjell Carlsson, contributing writer for Forrester.com
The ability of automation-focused machine learning (AutoML) to augment AI is providing exciting new opportunities in all areas of business. From data scientists to executives and support staff, this technology can offer deeper, faster insights for everyone. AutoML is democratizing AI by making it accessible even to those without data science experience. However, the data scientists at your organization must lead AutoML initiatives and ensure employees in all roles understand how to leverage the technology safely and correctly.
by John Edwards, contributing writer for InformationWeek.com
From sales and marketing to customer research, analytics has long provided insights that allow various departments of organizations to make data-driven business decisions. Yet one surprising area has neglected to leverage the power of analytics: IT. Now, the author of this article argues, IT leaders need to recognize the ways in which analytics can help them to evaluate and improve their services. They should also use analytics to predict the future IT needs of the business and ensure everyone at the organization has the IT tools they need.
by Kim Vaccari, contributing writer for NonprofitPro.com
Amid the COVID-19 pandemic, nonprofit organizations are taking a hard hit. With the economic futures of both small and large donors uncertain, nonprofits are doing everything they can to survive. This author says nonprofits need to reassess several areas of their organizations, including their strategic plans, programs and services, staffing needs, and budgets. But beyond that, nonprofits need to be more proactive in planning for the next large-scale disruptive event, whether it is a pandemic, natural disaster, major conflict, or economic downturn.
by Lisa Morgan, contributing writer for InformationWeek.com
Data and analytics have traditionally been used to optimize and predict future performance. Well, it’s no surprise that this global pandemic turned all of that insight on its head. But now is most certainly not the time to back away from predictive analytics—it’s time to double down. Data teams need to keep pace with the changing times, act nimbly, and be willing to restructure your data pipeline.
by Nick Culbertson, contributing writer for Forbes.com
Patient privacy is always a concern for hospitals and medical providers, and COVID-19 is putting pressure on the usual protocols. Nurses and doctors are temporarily working at overloaded hospitals, and the sheer speed and bulk of work on a COVID floor mean that privacy could be considered of low importance compared to saving lives. This is where hospitals can leverage AI to protect the data of patients and healthcare workers. AI can improve data security and detect breaches much more quickly and accurately than human workers.
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