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Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

Today, with the invention of the World Wide Web and the subsequent digitalization, we live in the Fourth Industrial Revolution where data, data exchange and cognitive computing are transforming all industries and services, including Life Sciences and Pharma.

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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

The question of the data to use will include the basics of transactional and enterprise data sources, but should expand to broader questions that will further shape the deployment strategy including third-party data, the need for real-time and/or unstructured data, ML and AI tools, etc.

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Enterprise Data Integration: Better Data, Smarter Decisions

Sisense

Additionally, enterprise companies often deal with client data that comes in a variety of forms and from a wide array of locations as well. When looking at a BI platform] the ability to handle structured and unstructured data was really important to us.”

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Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

Today, with the invention of the World Wide Web and the subsequent digitalization, we live in the Fourth Industrial Revolution where data, data exchange and cognitive computing are transforming all industries and services, including Life Sciences and Pharma.

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Do I Need Both BI Tools and Augmented Analytics?

Smarten

Traditional business intelligence is focused on reporting and queries, whereas advanced analytics is focused on the analysis of structured and unstructured data to optimize, correlate and predict the activities and strategies that will help the business succeed and to predict results. Business Intelligence. Dashboards.

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Migration Supporting Real-Time Analytics for Customer Experience Management

Cloudera

On Cloudera’s platform, SMG Data Scientists have fast and easy access to the data they need to be able to unleash a host of functions, particularly Predictive Analytics, as the data ingested can now be simultaneously used for ad-hoc analytics as well as for running AI/ML tools.

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The Data Journey: From Raw Data to Insights

Sisense

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses.