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Why Financial Services Firms are Championing Natural Language Processing

CIO Business Intelligence

NLP solutions can be used to analyze the mountains of structured and unstructured data within companies. In large financial services organizations, this data includes everything from earnings reports to projections, contracts, social media, marketing, and investments. Just starting out with analytics? Putting NLP to Work.

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Building a Beautiful Data Lakehouse

CIO Business Intelligence

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

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The Incredibly Important Role Of Big Data In Academia

Smart Data Collective

In the article, you will find a number of areas where Big Data in education can be applied. Indicators of the content used from the media – television, the press, radio, cinema, video, the Internet, including data from social networks. To Begin with…. Decision making. Sociocultural environment.

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Top 10 Analytics Trends for 2019

Timo Elliott

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.

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Big Data, Big Benefits: What Leaders Say

Sisense

In his article in Forbes , he discussed how some of the biggest names in global business — Nike, Burger King, and McDonald’s — and progressive newer entrants to huge sectors like insurance, are embracing data and analytics technology as a platform on which to build their competitive advantages. Organizations must adapt or die.

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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

They're the insights needed for better decision making, and they start with the business, not with the data. It's not about the technology - or solving the data silo problem. Business Focus is Required for Success with Transformative Analytics Technologies. Increasing data literacy is the answer.

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. Though experts agree on the difficulty of deploying new platforms across an enterprise, there are options for optimizing the value of AI and analytics projects. [2]

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