Why 2017 is the year integration enables Industry 4.0 growth

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  • 35% of companies adopting Industry 4.0 predict revenue gains over 20% in the next five years.
  • Data analytics and digital trust are the foundations of Industry 4.0.
  • Cost-sensitive industries including semiconductors, electronics, and oil and gas are the most focused on adopting Industry 4.0, with 80% of companies in these industries saying it is one of their top priorities.

The recent article by Boston Consulting Group (BCG),

By Louis Columbus, 30 January 2017, 0 comments. Categories: Big Data, Data & Analytics, Enterprise, Industry, Infrastructure.

Opinion: When big data and Brexit collide

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During the UK referendum campaign, the Leave camp spoke ardently about the importance of protecting our sovereignty and making our own laws. Now we’re coming out of the EU and the single market, sovereignty is top of the agenda again, for the opposite reason. Rather than solving our right to sovereignty, Brexit threatens to destabilise it.

Right now, data holders are worried about the sovereignty of their...

By Jack Bedell-Pearce, 24 January 2017, 0 comments. Categories: Big Data, Data & Analytics, Europe, Legal.

How McKinsey’s 2016 analytics study defines the future of machine learning

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  • U.S. retailer supply chain operations who have adopted data and analytics have seen up to a 19% increase in operating margin over the last five years.
  • Design-to-value, supply chain management and after-sales support are three areas where analytics are making a financial contribution in manufacturing.
  • 40% of all the potential value associated with the Internet of Things requires interoperability between IoT systems.

These and many other insights are from the McKinsey Global Institute’s study

By Louis Columbus, 05 January 2017, 0 comments. Categories: Applications, Big Data, Data & Analytics, Data Management, Developers.

Matson, AWS, and overcoming the cloud lock-in challenge for big data

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Shipping giant Matson made news back in November with its major migration to Amazon Web Services (AWS). Matson’s recent announcement to go ‘all in’ with AWS is another example of large enterprises realising the intrinsic value of the public cloud.

But merely getting set up on one of the large cloud providers is now table stakes – everyone has a pilot. True cloud success is another matter.

It took years to complete...

By Prat Moghe, 03 January 2017, 0 comments. Categories: Amazon, Big Data, Case Studies, CIO, Infrastructure, Vendors.

How small businesses can succeed with their big data projects

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It’s no secret that businesses are excited about the possibilities they can gain from big data; large corporations have been tapping big data analytics for years as a way to increase revenue and improve efficiency.

Small businesses, on the other hand, may feel a bit left out of the trend. Big data, after all, sounds like a complex strategy using the latest technology to discover important insights. In other words, it’s something that feels like is out of reach. But that...

By Rick Delgado, 17 November 2016, 2 comments. Categories: Big Data, Data & Analytics, Data Management.

Why six million developers are creating big data and advanced analytics apps today

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  • 2 million developers are working on IoT applications, increasing 34% since the last year.
  • Over 50% of the developers working on IoT applications are writing software that utilizes sensors in some capacity.
  • 4m enterprise developers play decision-making roles when it comes to selecting organizational IT development resources. Another 5.2 million hold decision-making authority for selecting IT deployment resources.
  • 4m developers (26% of all developers globally) are using the cloud as a development environment today
  • The APAC region leads the world with approximately 7.4m...

By Louis Columbus, 14 November 2016, 0 comments. Categories: Applications, Big Data, Data & Analytics, Developers, Software.

How to bridge the data analytics gap between vendors and customers

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A new whitepaper from the Asia Cloud Computing Association (ACCA) argues there is a gap between data analytics services offered by vendors and the requirements of Asia Pacific organisations looking to engage them.

The findings, which appear in the paper ‘Data Analytics to Bridge Knowledge Gaps’, finds that 62% of companies surveyed use data analytics to some extent, yet less than half use analytics for making financial decisions and only 5% use it for human resources...

By James Bourne, 26 October 2016, 0 comments. Categories: Big Data, Data & Analytics, Data Management, Research.

x.ai launches professional version of its AI personal assistant

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Artificial intelligence (AI) software provider x.ai has announced the launch of the Professional version of its personal assistant product.

The personal assistant, Amy – or twin brother Andrew – schedules meetings on behalf of users, saving plenty of admin time. All users need to do is connect their calendars to x.ai, and cc Amy or Andrew, who does the rest.

The beta version was launched in June 2014, and since then...

By James Bourne, 17 October 2016, 0 comments. Categories: Big Data, Data & Analytics, Data Management, Infrastructure.

The power of machine learning and artificial intelligence in the data centre

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Data is everywhere – masses of it. And it’s helping businesses to make better decisions across departments. Marketing can utilise data to discover the effectiveness of email campaigns, finance can analyse past trends to make predictions and projections for the future, and sales can target their follow-up with detailed information on prospective customers.

But data is only useful when business tools transform it into valuable information. Data intelligence through algorithms...

By Richard Jenkins, 12 October 2016, 0 comments. Categories: Big Data, Data & Analytics, Data Centres.

Why preparation is key to securing your cloud migration

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The benefits of big data are real. And with so many businesses looking to migrate their data to the cloud, they want to make sure everything arrives safely and intact. After all, much of this data contains sensitive and proprietary information, and the prospect of moving it from the safety of the corporate firewall to a cloud environment is cause for concern.

Still, as data volumes continue their exponential growth, moving vast sets of structured and unstructured data from the restrictive...

By Rick Delgado, 11 October 2016, 1 comment. Categories: Adoption, Big Data, Infrastructure, Migration, Vendors.