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MLOps and the evolution of data science

IBM Big Data Hub

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How MLOps will be used within the organization.

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Protecting Big Data, while Preserving Analytical Agility

Thales Cloud Protection & Licensing

The age of Big Data is upon us. And, as more data is available for analytical purposes, more sensitive and private information is at risk. Protecting the confidentiality and integrity and of warehoused data and ensuring that access is controlled is vital to keeping that data secure. respondents.”.

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Embeddable AI saves time building powerful AI applications

IBM Big Data Hub

Just a few weeks ago, IBM announced an expansion to their embeddable AI software portfolio with the release of three containerized Watson libraries. The new libraries include: IBM Watson Natural Language Processing Library for Embed. The new libraries include: IBM Watson Natural Language Processing Library for Embed.

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K&IM Matters: From AI to the Chartered Knowledge Manager

CILIP

Technologists are developing big data applications that are coming more into the public eye, and Industrial Revolution 4.0 In one positive example of reaction to the opportunities, LibrariesWest is sharing library and personal data between six public library services in the West Country. is gathering pace.

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How to enable trustworthy AI with the right data fabric solution

IBM Big Data Hub

Automated, integrated data science tools help build, deploy, and monitor AI models. With AI governance solutions, a data scientist using standard, open Python libraries and frameworks can have facts about the model building and training automatically collected. Processes that provide AI governance.

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Technology sets the pace of change in content delivery and management

CILIP

Now we are in a place where Big Data and Artificial Intelligence (AI) are the ideas that are set to launch the next big thing. New conference, ConTech, which takes place in December and is in its second year aims to capitalise on the buzz about data and AI for anyone working with content ? Content delivery pioneers.

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

IBM Big Data Hub

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.