Sat.Sep 01, 2018 - Fri.Sep 07, 2018

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15 GLOBAL INFLUENCERS IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Dataconomy

It’s easier to get a job if you are an Artificial Intelligence (AI) or Machine Learning (ML) ‘expert’, and investors want to bet on companies which use the words AI or ML in their mission statements. And why should that not be the case? McKinsey estimates AI techniques have the. The post 15 GLOBAL INFLUENCERS IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING appeared first on Dataconomy.

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Six Ways Big Data Can Refine Your Digital Marketing Efforts

Dataconomy

What’s the one thing that all digital marketers must know? The fact that data is king on today’s marketing landscape. Having comprehensive and accurate data is essential for making effective marketing decisions. It can help executives identify industry trends and discover potential customers, making big data analysis important for optimizing. The post Six Ways Big Data Can Refine Your Digital Marketing Efforts appeared first on Dataconomy.

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Four Data Challenges Posed by the Connected Car

Dataconomy

Car-generated data is set to transform the auto industry and the consumer driving experience, but there are significant challenges along the way. What’s the most disruptive trend in the auto industry today? If you answered “electric engines” or “self-driving cars,” not so fast. The real game-changer for the industry. The post Four Data Challenges Posed by the Connected Car appeared first on Dataconomy.

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5 Tips For Making the Most Out of Your Tech Conference Experience

Dataconomy

The old saying goes “It’s not what you know, it’s who you know”- and in the tech industry, this sentiment is truer than ever. When careers are forged by meeting the right employer or investor at the right time, networking is a vital skill- thus, conferences become a key facet. The post 5 Tips For Making the Most Out of Your Tech Conference Experience appeared first on Dataconomy.

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Navigating the Future: Generative AI, Application Analytics, and Data

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?