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APAC Business Process Outsourcing Market Set to Grow at Cagr of 10% Between 2018 and 2023, Says GlobalData

Asia-Pacific (APAC) continues to be a vibrant market for business process outsourcing (BPO) space, owing to the increasing number of contact centers in the region. Against this backdrop, the overall BPO market in the region is estimated to grow at a compound annual growth rate (CAGR) of 10% between 2018 and 2023 to reach US$120.4bn, says GlobalData, a leading data and analytics company.

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BrandPost: Above and Beyond: Driving Digital Transformations in Poland’s Growing Business Sector

Business at Beyond.pl is booming as Poland’s economy continues to grow rapidly. A significant factor in this growth is the cloud and the benefits it offers.Among many other services, the company offers public and private cloud solutions based on VMware technology. For example, both of Beyond.pl’s data centers deliver cloud services that are VMware Cloud Verified.

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Where’s My Data? Approaching Marketing Automation in the Era of GDPR

The adoption of Marketing Automation technologies continues to be one of the fastest-growing Marketing trends today. In fact, according to a 2018 Forrester report, global Marketing Automation spend will reach $25.1 billion by 2023 – nearly double the amount spent in 2017.
With this Marketing Automation technology, growth comes an increased need for a steady flow of customer data.

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Facebook: Advertisers to get more tools to control where ads appear

As Facebook continues to deal with controversy over its political ad policy, and becomes more a force in the market for spending on online advertising, the company on Wednesday rolled out a set of new tools designed to give advertisers more control over the places where their ads appear on the social-media site.

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Performant Deep Learning at Scale with Apache Spark & Apache SystemML

Machine learning continues to deepen its impact with new platforms that enable more efficient and accurate analysis of big data. One such platform is Apache SystemML, which allows for large-scale learning on the underlying Apache Spark platform, while maintaining the simple, modular, high-level mathematics at the core of the field.

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