Remove 2020 Remove Modeling Remove Uncertainty
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The state of data quality in 2020

O'Reilly on Data

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. A review of the survey results yields a few takeaways organizations can use to realistically address how they can condition their data to improve the efficacy of their analytics and models.

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Decision Making with Uncertainty Requires Wideward Thinking

Andrew White

COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. In the realm of AI and Machine Leaning, data is used to train models to help explore specific business issues or questions. The models are practically useless. Everything Changes.

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Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

Smart Data Collective

One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology. As a result, they will need to invest in data analytics tools to sustain a competitive edge in the face of growing economic uncertainty. In 2023, big data Is no longer a luxury.

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Surviving Radical Disruption with Data Intelligence

erwin

Now to survive and thrive in the face of radical disruption requires radical transformation and new business models. The companies that come out of this historic period of global uncertainty and change are those who’ve taken intelligent and data-driven approaches to their businesses. Subscribe to the erwin Expert Blog.

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Humans and AI: How Should You Talk About AI? Be Positive or Give Warnings?

DataRobot

In a July 2020 interview with the New York Times , Musk expressed his opinion that London research lab DeepMind is a “top concern” when it comes to artificial intelligence. AI and Uncertainty. Some people react to the uncertainty with fear and suspicion. This finding held regardless of the characteristics of the uncertainty.

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Communal Computing’s Many Problems

O'Reilly on Data

When we’re building shared devices with a user model, that model quickly runs into limitations. That model doesn’t fit reality: the identity of a communal device isn’t a single person, but everyone who can interact with it. With enough data, models can be created to “read between the lines” in both helpful and dangerous ways.

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Learn. Transform. Advance.

erwin

When I look back, I should not be surprised that 2020 has been incredibly busy for us here at erwin. To survive and eventually thrive in the face of radical disruption requires transformation that’s just as radical: Developing new business models, like breweries and distillers manufacturing hand sanitizer.