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Machine learning modeling News
December 07, 2018
Most businesses have yet to feel the full effect of AI, as enterprises labor to determine where and under what conditions the technology can most effectively be deployed.
August 13, 2018
A new survey finds companies are using fairness and bias as metrics to evaluate the success of a machine learning model.
July 27, 2018
Google is enabling BigQuery users to build SQL-based machine learning models inside the cloud data warehouse via a BigQuery ML technology now out in beta.
June 08, 2018
Databricks' new products take aim at simplifying machine learning integration -- something that has become increasingly difficult, as the number of tools has multiplied.
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As the maturity of knowledge graphs improves, enterprises are finding new ways to incorporate them into business operations, though stumbling blocks remain. Continue Reading
Supply chain AI is helping enterprises that rely on the movement of physical parts and products streamline their operations and automate tricky last-mile problems. Continue Reading
Dun & Bradstreet analytics exec Nipa Basu offers three tips on how to integrate machine learning tools into business processes to help drive better decision-making. Continue Reading
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IoT threat detection is about to get easier, thanks to the automating abilities of AI algorithms. But, as IEEE member Kayne McGladrey explains, it doesn't mean humans are out of the picture. Continue Reading
2019 promises to be a big year for AI, as we're likely to see some trends -- such as adoption of virtual assistants and strong venture capital funding -- continue and others emerge. Continue Reading
New AI projects in enterprises should focus on achievable goals rather than try to reinvent business processes or products and services, Tom Davenport says. Continue Reading
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Simulating timely and accurate business scenarios can be an essential competitive weapon for predicting the performance, pitfalls and benefits of strategic initiatives. Continue Reading
Deploying machine learning models requires an entirely different skill set than developing them, and data scientists and engineering teams need to be ready to bridge this gap. Continue Reading
Insurance agency management company In-Fi is hoping AI chatbots can streamline homeowner insurance applications and bring the process in line with customers' expectations. Continue Reading
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As the EU's GDPR regulations go into effect, enterprises must focus on building transparency in AI applications so that algorithms' decisions can be explained. Continue Reading
Flawed machine learning models lead to failures and user interruptions. Expert Judith Myerson explains the causes for failures and how a failover plan can improve user experience. Continue Reading