Dataconomy

NOVEMBER 16, 2018

Perhaps even moreso than even big data or blockchain, AI is fast becoming the buzzword on everyone’s lips. Machine learning has been a promising field for years, but with the astonishing success of deep learning techniques, we’re rapidly being propelled into an automated future. But can AI withstand the hype? The post Is AI Just a Buzzword? 4 Experts Weigh In on the Future of AI appeared first on Dataconomy.

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Dataconomy

NOVEMBER 16, 2018

In terms of pioneering data-based technology, IBM are the gold standard. Indeed, IBM has held the record for receiving the most patents every year for the past 25 years and has developed countless revolutionary technologies, from SQL to the world’s fastest supercomputer. It should come as no surprise that IBM. The post IBM Watson IoT’s Chief Data Scientist Advocates For Ethical Deep Learning and Building The AI Humans Really Need appeared first on Dataconomy.

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Dataconomy

NOVEMBER 15, 2018

It’s no news that unstructured data has been a highly sought after source since its inception, first for determining public topical insights and now for training machine learning algorithms. The critical question to answer is whether you should outsource the collection to overcome business challenges or not? Mike Madarasz explains. The post Why Outsourcing Social Media Data Access is a Good Thing appeared first on Dataconomy.

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Dataconomy

NOVEMBER 15, 2018

It’s no news that unstructured data has been a highly sought after source since its inception, first for determining public topical insights and now for training machine learning algorithms. The critical question to answer is whether you should outsource the collection to overcome business challenges or not? Mike Madarasz explains. The post Why Outsourcing Social Media Data Access is a Good Thing appeared first on Dataconomy.

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Machine Learning Machine Learning Algorithm Big Data Analytics 79

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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