Smart Data Collective
NOVEMBER 20, 2022
You’ll learn what big data is, how it can affect your marketing and sales strategy, and more. What Is Big Data? Big data refers to an extremely large volume of data sets, including structured and unstructured data from several sources. Keep reading.
Smart Data Collective
JULY 4, 2021
Business-to-business (B2B) transactions are becoming faster and more secure thanks to various apps and software. Researching, collecting data, and processing everything they find can be labor-intensive. Partnered with natural language processing (NLP), AI software can pull relevant information from sets of unstructured data.
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Smart Data Collective
SEPTEMBER 16, 2022
More and more fintech startups are focusing not only on the B2B but also on the B2C segment, which is facilitated by the growth of the overall financial literacy of the target audience and the increase in the number of private investors. Fintech in particular is being heavily affected by big data. Unstructured data.
datapine
NOVEMBER 19, 2019
This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Thus, deep nets can crunch unstructured data that was previously not available for unsupervised analysis. That is a trend that also came to the business intelligence world.
Smart Data Collective
DECEMBER 14, 2019
Econsultancy and Adobe asked B2B companies to report on what the most exciting opportunity for growth in 2020 is and the leading answer was, “customer experience.” What is Big Data? Big data describes large amounts of structured or unstructured data that is collected by a business during daily activities.
Ontotext
MARCH 18, 2020
According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Why Enterprise Knowledge Graphs?
Ontotext
MAY 22, 2023
The rich semantics built into our knowledge graph allow you to gain new insights, detect patterns and identify relationships that other data management techniques can’t deliver. Plus, because knowledge graphs can combine data from various sources, including structured and unstructured data, you get a more holistic view of the data.
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