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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We designed this expert guide to help you better understand all of the considerations for building and maintaining the infrastructure and engine that support the initiatives. Plus, learn about the products and players, like Amazon, Google, IBM, and 16 more to help you make the best buying decision.
Big data and machine learning News
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March 21, 2019
21
Mar'19
Machine learning approaches gain critical mass for data pros
Machine learning will bring change to analytics and data management, said data luminary Michael Stonebraker. Others agree managing such change will take special effort.
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March 19, 2019
19
Mar'19
Bobbie Stempfley: Cybersecurity AI has a long way to go
Many cybersecurity vendors have embraced AI and machine learning, but CERT Division's Bobbie Stempfley says more work is needed around testing algorithms and validating results.
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February 27, 2019
27
Feb'19
Trump's AI executive order glosses over data privacy, funding
Trump released his AI executive order two weeks ago, and researchers are continuing to analyze its potential impact on the industry. One thing is certain: AI is about to change.
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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.
Big data and machine learning Get Started
Bring yourself up to speed with our introductory content
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The new AI frontier: Hyperpersonalized automated advertising
AI-powered automated advertising is being utilized to connect consumer to products, leading to more sales. Simply put: Hyperpersonalized content is taking over the ad space. Continue Reading
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Enterprises deploy AI in mining projects to improve analytics
By implementing AI in mining processes, enterprises are able to utilize data algorithms and automated machines to preserve the sensitive environment and their human workforce. Continue Reading
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What is the role of machine learning in networking?
Analytics tools that incorporate machine learning can monitor network behavior, highlight anomalies, and improve performance management and security. 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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Automated machine learning streamlines model building
Automated machine learning leads to faster model building while democratizing use and increasing implementation. Expert Mike Gualtieri answers major questions about the rising tech. Continue Reading
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Best machine learning platforms comparison and buyer's guide
Is turning enterprise data into insights a business imperative for you? Then look to machine learning platforms. Here's everything to know about this cutting-edge market. Continue Reading
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IBM Think 2019 coverage: Spotlight on data and AI analytics
This guide compiles news, analysis and trend stories from IBM Think 2019 and before the conference, focusing on IBM's AI, advanced analytics and data management technologies. 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