Big data and machine learning
Big data and machine learning is a powerful pair for data-driven enterprises. Data collection and storage using big data frameworks, data integration and data preparation can be difficult for even the most experienced data scientists. Get expert insights and best practices for working with big data and machine learning projects.
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Big data and machine learning News
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December 07, 2018
07
Dec'18
Impact of AI on business still more limited than some hoped
Most businesses have yet to feel the full effect of AI, as enterprises labor to determine where and under what conditions the technology can most effectively be deployed.
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September 27, 2018
27
Sep'18
Hitachi analytics sharpens heterogeneous storage management
Upgraded Hitachi Vantara analytics for storage improves visual mapping of application storage and integrates dynamic-cooling IoT technologies from Vigilent.
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July 27, 2018
27
Jul'18
BigQuery ML moves machine learning into Google BigQuery
Google is enabling BigQuery users to build SQL-based machine learning models inside the cloud data warehouse via a BigQuery ML technology now out in beta.
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June 28, 2018
28
Jun'18
The future of BI is bright, as experts note evolving trends
Fast-evolving tech trends like machine learning and cloud storage management will have big roles in BI in the coming years, especially with the dominance of cloud computing, experts say.
Big data and machine learning Get Started
Bring yourself up to speed with our introductory content
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Knowledge graph applications in the enterprise gain steam
As the maturity of knowledge graphs improves, enterprises are finding new ways to incorporate them into business operations, though stumbling blocks remain. Continue Reading
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HR makes major strides toward improving employee engagement
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big data
Big data is an evolving term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications. Continue Reading
Evaluate Big data and machine learning Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Measuring worker performance data requires skillful managers
Emerging HR analytics tools make it easier for managers to collect data on employee experiences and better quantify workforce performance, but the data can lie when misinterpreted. Continue Reading
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Which platform for machine learning is right for your enterprise?
Turn ever-growing volumes of data into enterprise insights with the right platform for machine learning. Learn more about the vendors and products in this cutting-edge market. Continue Reading
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What do businesses do with the top machine learning platforms?
Take a deep dive into machine learning, including decision trees, clustering, reinforced learning, neural networks, as well as supervised and unsupervised machine learning. Continue Reading
Manage Big data and machine learning
Learn to apply best practices and optimize your operations.
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Combat algorithm bias with these software test pointers
As AI penetrates all kinds of software, it's imperative that testers devise a plan to verify predictive results. Put QA professionals on task to root out AI bias. Continue Reading
Problem Solve Big data and machine learning Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Convert unstructured data to structured data with machine learning
With access to powerful compute power and advances in machine learning, unstructured data is becoming easier and cheaper for businesses to turn into usable sources of insight. Continue Reading
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There's time and place for SMBs to adopt SaaS-based ERP
SMBs face many issues when implementing SaaS ERP operations versus on-premises, plus the fact that one size cloud-based ERP platform doesn't necessarily fit all companies. Continue Reading
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The threats of AI must be taken seriously to prevent harm
The risks of AI use are growing as the technology becomes more pervasive. Rather than laugh off the threats, businesses should move to mitigate them before they become headaches. Continue Reading