Unleash the power of text analytics on your dark data with IBM Watson Explorer for Data Science Experience

IBM

In this webinar we will provide an overview and demonstration of new IBM Watson Explorer for Data Science Experience features that enable data science teams to more productively discover and use insight from document collections and other text data to achieve new outcomes.
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Spotlight

Data analysis and mining have been growing considerably in recent years. Almost every industry has found different purposes for big data and the tools used to analyze big data. These efforts have brought in massive revenues for data mining companies. However, there are some challenges created by the recent controversy over Cambridge Analytica.

OTHER ON-DEMAND WEBINARS

How to Strengthen Enterprise Data Governance with Data Quality

DATAVERSITY

If your organization is in a highly-regulated industry or relies on data for competitive advantage data governance is undoubtedly a top priority. Whether you’re focused on “defensive” data governance (supporting regulatory compliance and risk management) or “offensive” data governance (extracting the maximum value from your data assets, and minimizing the cost of bad data), data quality plays a critical role in ensuring success.
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How to Build a Data Catalog to Smartly Exploit Your Data Assets

Caserta

Register for this on-demand webinar with the co-founder of Alation where we’ll deep dive into the Data Catalog. You’ll learn why a data catalog is essential for data-driven organizations, methods and tools to democratize your data, and how automation is crucial for consistent re-use of data.
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How to Scale New Products with a Data Lake on AWS and Qubole

awscloud.com

Big data technologies can be both complex and involve time consuming manual processes. Organizations that intelligently automate big data operations lower their costs, make their teams more productive, scale more efficiently, and reduce the risk of failure.
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Modern Data Analytics in Telecom

No industry relies more on data analytics for innovation than telecommunications. From increases in data volumes, the rise of 5G, and more and more connected devices, only the organizations that invest in a modern data infrastructure will be prepared to integrate, process, and analyze the mountains of new data. What are you doing today to get ready?
Watch Now

Spotlight

Data analysis and mining have been growing considerably in recent years. Almost every industry has found different purposes for big data and the tools used to analyze big data. These efforts have brought in massive revenues for data mining companies. However, there are some challenges created by the recent controversy over Cambridge Analytica.

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