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Shinydocs receives $16.25 million in financing to help organizations generate business value from unstructured data

Info Source

This investment from First Ascent Ventures and EDC will enable Shinydocs to boost its sales and marketing resources to access a wider customer base and challenge the industry’s assumptions about information management. Our customers are seeing exponential growth in the volume of unstructured data held across the organization.

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Retailers can tap into generative AI to enhance support for customers and employees

IBM Big Data Hub

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

However, data scientists should monitor results gathered through unsupervised learning. Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. Engineers can apply unsupervised learning methods to automate feature learning and work with unstructured data.

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Doing the math to achieve “zero”: OpenText and Jaguar TCS Racing

OpenText Information Management

All the typical celebrations focus on how bigger is better—sales and growth in business, birthdays, and anniversaries for personal celebrations. OpenText™ Vertica and OpenText™ IDOL support Jaguar TCS Racing through data management and analytics. When you celebrate something, it’s not often that you focus on the number zero.

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The CFO’s role in the age of generative AI

IBM Big Data Hub

A generative AI agent or assistant can ingest and summarize structured and unstructured data from internal and external sources, parse through it and generate insights and patterns for financial information that can drive business value and potentially identify untapped revenue streams.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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Ephesoft Names Russ Hubbard as Chief Revenue Officer

Info Source

He will architect and build the company’s sales strategy and operations to meet the growing global demand for Ephesoft’s technology, which turns unstructured content into actionable information. Russ has a record of applying scalable channel models and enterprise-wide sales strategies on a global scale.