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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

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics.

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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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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. Algorithms.

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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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