10 deployed-machine-learning-model-post-production-monitoring 
IBM Big Data Hub
JULY 19, 2023
The explosion in digital data—in combination with declining availability of skilled and willing human resources to ingest and process the digital data in a compliant manner—is forcing life sciences organizations to explore AI, machine learning and now generative AI technologies.
Cloudera
NOVEMBER 15, 2021
This blog discusses quantifications, types, and implications of data. The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored.
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CDW Research Hub
JULY 31, 2019
In other words, we expect technology to learn and evolve. Level 5 and beyond : at this level, contextual assistants are able to monitor and manage a host of other assistants in order to run certain aspects of enterprise operations. For instance, if user says X, respond with Y; if user says Z, call a REST API, and so forth.
datapine
DECEMBER 11, 2019
SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. 2019 was a breakthrough year for the SaaS world in many ways. Exclusive Bonus Content: Get The Top 10 Saas Trends Handbook!
datapine
DECEMBER 4, 2019
Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company. The accuracy of the predictions depends on the data used to create the model. Approaches need to take this dynamic nature into mind.
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