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Machine learning modeling News
April 16, 2018
In this Q&A, IBM's Seth Dobrin discusses the rising user interest in machine learning and AI projects and the help inexperienced users need to launch those projects.
March 02, 2018
New tools help developers build better, smarter AI apps, as machine learning toolkits have progressed exponentially over the last few years.
July 17, 2017
The chief data officer's next challenge may be to find storytellers who can explain machine learning for data science to decision-makers in the organization.
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Using deep learning in an effective way requires creative problem-solving and a team approach that goes beyond simply hiring data scientists, experts say. Continue Reading
AI often means neural networks, but intensive training requirements are prompting enterprises to look for alternatives to neural networks that are easier to implement. Continue Reading
Your AI strategy should focus on growth rather than efficiency, says McKinsey analyst Jacques Bughin -- advice that enterprises rarely hear when launching projects. Continue Reading
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Bridging the gap between training and production is one of the biggest machine learning development hurdles enterprises face, but some are finding ways to streamline the process. Continue Reading
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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
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
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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