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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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.
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June 08, 2018
08
Jun'18
Databricks platform additions unify machine learning frameworks
Databricks' new products take aim at simplifying machine learning integration -- something that has become increasingly difficult, as the number of tools has multiplied.
Big data and machine learning Get Started
Bring yourself up to speed with our introductory content
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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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Good data quality for machine learning is an analytics must
As companies add machine learning applications, they need to really understand -- and be able to improve -- their data. That's where data quality initiatives come in. 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
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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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
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How to find the best machine learning frameworks for you
There's no shortage of open source deep learning tools today, and evaluating them can be a challenge. But there are some primary considerations to keep in mind. 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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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