At Bloomberg’s Value of Data conference, sponsored by Western Digital and hosted in New York, three industry experts explained how augmented intelligence—combining human intelligence with data analytics—can empower employees to answer their own questions using data.
Data science isn’t just for data scientists anymore. Now, non-technical workers and local governments are using data to solve a variety of business problems and even inform policy decisions.
- Jarrett Wendt – Executive Vice President & Head of CityNOW, Panasonic North America
- Elena Grewal – Head of Data Science, Airbnb
- Jeremy Gu – Senior Data Scientist, Uber
Moderator: Linda Gibbs – Principal, Bloomberg Associates and Senior Fellow, Results for America Bloomberg L.P.
Local Governments Use Augmented Intelligence to Improve Cities
In the public sector, strict laws that govern data accessibility often make it a challenge to combine data sources that could guide policymaking. However, the silos that have been keeping datasets apart are starting to open up. A new wave of local governments is looking to make aggregated and anonymized data publicly available, with the goal of identifying pressing issues that require immediate action.
Policymakers—increasingly aware of the role that data plays in their constituents’ daily lives—see data science as a way to make cities more responsive to people’s needs. For some, the focus is on creating policies for safer transportation. For other elected officials, making energy grids more efficient and sustainable is the top priority. As Jeremy Gu, Senior Data Scientist at Uber, puts it,
“No matter whether it’s a company or government, we want to build data science to make cities smarter, safer, and happier for people.”
With Augmented Intelligence, Everyone Can Be a Data Science
As companies grow in size, it becomes increasingly challenging for individual groups to rely on an internal data analytics team to help answer their business questions. But, what if each employee had training and resources in augmented intelligence to answer their own questions?
This question is at the heart of a company-wide movement led by Elena Grewal. As Head of Data Science at Airbnb, she helped create a curriculum of courses that combine data science with human analysis for each new worker at her company. The goal is to first help each employee ask the right question by turning a business problem into a data science problem.
“The best way that we can make decisions as a company will be for every single employee to know how to use data to answer their questions,” Elena Grewal, Airbnb
Combine this analytical mindset with training in data science tools and processes and you have a unique situation where every person in a company can utilize data science independently. By empowering entire organizations to use data, better decisions can be made faster at scale.
By 2020, Connected Vehicles Could Be Upon Us
Every hour, an estimated 718 automobile accidents occur in the United States alone. This amounts to 6 million annual accidents, which results in nearly 37,000 deaths per year1. While this number has been decreasing over the years, it’s a slow decline. In fact, over the past 25 years, the number of fatal motor vehicle accidents per 100,000 people fell about 1 percent each year2.
If we want to accelerate the adoption of safer vehicles, we need a new strategy. For Jarrett Wendt, Executive Vice President & Head of CityNOW, Panasonic North America, that means making connected vehicles ubiquitous. By installing onboard computers and embedded sensors into new vehicles, there’s a chance to prevent a significant percentage of automobile accidents and save thousands of lives.
“Connected vehicles are upon us. Tens of millions of vehicles coming off the assembly lines in 2020 will have connected vehicle technology,” Jarrett Wendt, Panasonic North America
Learn More about the Value of Data
- Where is Augmented Reality Being Used Today?
- How Blockchain Technology Will Redefine Business Models
- Future Technology Will Combine AI, Big Data and the Cloud
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