How Big Data and machine learning serves consumer wanderlust

| June 17, 2016

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It is no surprise that data analytics and machine learning are fast becoming key components of every innovative company's toolkit, given the massive increase in the amount of data that companies are generating. Because of the sheer volume and complexity of data being created, it is often beyond human capacity to find relevant trends or insights within what has been tagged as 'Big Data'...

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Global Data Analytics Inc

Comprehensive analytics solutions. Advisory and Execution. Providing data science services for on-site, as-a-service onshore and offshore. Services including: Consulting; Professional Services; Managed Services; Training through the Academy; Solution Development and Delivery. Areas include Business Intelligence, Architecture; Master Data Management; Data Governance and Data Quality Management. Big Data, the Internet of Things (IoT), and a wide spectrum of analytic services.

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Deep Dive Digital-First Banks Harness The Power Of Data Analytics

Article | April 2, 2020

Data analytics has many purposes in the banking industry, ranging from improving cybersecurity to reducing customer churn. Every interaction from ATM withdrawals to loan applications — provides FIs with valuable data about customers’ financial lifestyles. Banks can even harness external regulatory, trading and social media engagement data, all of which can be processed and analyzed to benefit their operations.Financial data is useful in helping banks develop wide-reaching marketing campaigns, but social data is critical to developing offers for specific customers. Santa Rosa, California-based Redwood Credit Union, for example, found that social data was particularly important when offering auto loans. It initially extended preapproval for such loans every two years based solely on members’ credit scores and vehicle purchase histories, but it soon discovered that there was a much more reliable indicator and updated its preapproval frequency accordingly.

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Splunk Big Data Big Opportunity

Article | March 21, 2020

Splunk extracts insights from big data. It is growing rapidly, it has a large total addressable market, and it has tremendous momentum from its exposure to industry megatrends (i.e. the cloud, big data, the "internet of things," and security). Further, its strategy of continuous innovation is being validated as the company wins very large deals. Investors should not be distracted by a temporary slowdown in revenue growth, as the company has wisely transitioned to a subscription model. This article reviews the business, its strategy, valuation the sell-off is overdone and risks. We conclude with our thoughts on investing.

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A BRAND NEW CHIP DESIGN WILL DRIVE AI DEVELOPMENT

Article | February 20, 2020

The world is now heading into the Fourth Industrial Revolution, as Professor Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, described it in 2016. Artificial Intelligence (AI) is a key driver in this revolution and with it, machine learning is critical. But critical to the whole process is the need to process a tremendous amount of data which in turns boosts the demand for computing power exponentially.A study by OpenAI suggested that the computing power required for AI training surged by more than 300,000 times between 2012 and 2018. This represents a doubling of computing power every three months and two weeks; a number that is significantly quicker than Moore’s Law which has traditionally measured the time it takes to double computing power. Conventional methodology is no longer enough for such significant leaps, and we desperately need a different computing architecture to stay ahead in the game.

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Time Machine Big Data of the Past for the Future of Europe

Article | February 24, 2020

Emerging technology has the power to transform history and cultural heritage into a living resource. The Time Machine project will digitise archives from museums and libraries, using Artificial Intelligence and Big Data mining, to offer richer interpretations of our past. An inclusive European identity benefits from a deep engagement with the region’s past. The Time Machine project set out to offer this by exploiting already freely accessible Big Data sources. EU support for a preparatory action enabled the development of a decade-long roadmap for the large-scale digitisation of kilometres of archives, from large museum and library collections, into a distributed information system. Artificial Intelligence (AI) will play a key role at each step, from digitisation planning to document interpretation and fact-checking. Once embedded, this infrastructure could create new business and employment opportunities across a range of sectors including ICT, the creative industries and tourism.

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Spotlight

Global Data Analytics Inc

Comprehensive analytics solutions. Advisory and Execution. Providing data science services for on-site, as-a-service onshore and offshore. Services including: Consulting; Professional Services; Managed Services; Training through the Academy; Solution Development and Delivery. Areas include Business Intelligence, Architecture; Master Data Management; Data Governance and Data Quality Management. Big Data, the Internet of Things (IoT), and a wide spectrum of analytic services.

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