Google, Facebook and a host of smaller companies are paving the way for expansion and refinement of natural language processing in action.
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How can I put my AI /ML into production to drive ROI? What are the best practices for doing production ML? This post covers 5 trends in machine learning ops, as demonstrated at the first production ML conference, USENIX OpML 2019.
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In this special guest feature, Yaffa Cohen-Ifrah, CMO and Head of Corporate Communications at Sapiens Insurance, explores the many benefits of NLP for the insurance industry, including its widespread use as a cost-effective, engaging alternative to repetitive tasks that will streamline processes leading to greater customer satisfaction.
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Soon, you might not need anything more specialized than a readily accessible touchscreen device and any existing data sets you have access to in order to build powerful prediction tools. A new experiment from MIT and Brown University researchers have added a capability to their ‘Northstar’ interactive data system that can “instantly generate machine-learning models” […]
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Tomorrow’s businesses won’t thrive without AI. In one form or another, competitive organizations are already using artificial intelligence to automate tasks, improve efficiencies, or drive more revenue. For sales and marketing teams, AI and its subfields have finally fused science into the art of selling. Natural language processing (NLP) for example, can help determine customer intent. Machine learning (ML) can recommend the best response for sellers, and A/B testing can identify the most effective playbook for a scenario or customer demographic. Indeed, the time for pitching AI’s business case in sales has long since passed. Instead, the moment calls for
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The traditional retail industry is undergoing a significant reinvention and upgrade as more and more brick and mortar stores boost business by adopting e-commerce platforms powered by cutting-edge tech.
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Could natural language processing help transform the way in which fact checking results are applied, flagging the individual sentences within articles that are false or misleading, rather than blacklisting entire Websites?
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Using Science4Data's Natural Language Processing and GetRisk.Info platform to analyze the Democratic Presidential Candidates. Full Story a
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The race for the Democratic Presidential Nomination is crowded and at the forefront of many conversations. Can a front runner emerge with cohesive political and popular support?
We use Science4Data’s GetRisk.Info platform to quickly identify important insights. Analysis Using Machine Learning and Natural Language Processing, GetRisk.Info applies and calculates the PESTEL scope across broad media coverage of the race.
Using Science4Data's Natural Language Processing and GetRisk.Info platform to analyze the Democratic Presidential Candidates.
Click Here for the Top 10 Candidates Pestel AnalysisSourced through Scoop.it from: science4data.com
The race for the Democratic Presidential Nomination is crowded and at the forefront of many conversations. Can a front runner emerge with cohesive political and popular support?
We use Science4Data’s GetRisk.Info platform to quickly identify important insights. Analysis Using Machine Learning and Natural Language Processing, GetRisk.Info applies and calculates the PESTEL scope across broad media coverage of the race.
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