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To understand the risks posed by AI, follow the money

O'Reilly

Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. We’ll see more innovation if emerging AI tools are accessible to everyone, such that a dispersed ecosystem of new firms, start-ups, and AI tools can arise. But it is far from alone.

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Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads

All Things Distributed

Relationships are a fundamental aspect of both the physical and virtual worlds. Modern applications need to quickly navigate connections in the physical world of people, cities, and public transit stations as well as the virtual world of search terms, social posts, and genetic code, for example. The importance of relationships.

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5 key areas for tech leaders to watch in 2020

O'Reilly

From pre-built libraries for linear or logistic regressions, decision trees, naïve Bayes, k-means, gradient-boosting, etc., there’s a Python library for virtually anything a developer or data scientist might need to do. They’re each sites of ceaseless innovation.

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How Prepared is your IT Organization to Support the Rise in eHealth?

Tasktop

In this digital-first climate, software and IT systems can make a significant difference as organizations across most industries become increasingly virtual enterprises. Digital Innovation is Here to Stay .

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Rethinking the 'production' of data

All Things Distributed

Take the example of industrial manufacturing: in prototyping, drafts for technologically complex products are no longer physically produced; rather, their characteristics can be tested in a purely virtual fashion at every location across the globe by using simulations. The German startup SimScale makes use of this trend.

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How Application of Artificial Intelligence is Transforming Business

Testsigma

While AI has been used for a while now, recent enhancement has made the technology much more innovative and adaptable. Automate Vehicles in Distribution Centers and Other Logistics Operations: AI programmed robotic vehicles following the most efficient routes can be used to store and pick items.