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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April 08, 2019
08
Apr'19
Google's BigQuery ML needs big changes to compete
On the eve of Google Cloud Next '19, experts assess the impact of Google's BigQuery ML since its release and their hopes for the automated machine learning tool's future.
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April 02, 2019
02
Apr'19
$1 billion SAS AI investment recharges vendor's mission
SAS' new AI initiative includes a $1 billion investment and partnership with AI chip vendor Nvidia. The goal is to bring advanced AI tech to end users.
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March 25, 2019
25
Mar'19
Machine learning methods in EHR show promise, with limits
Carnegie Mellon University's Jeremy Weiss is on a quest to improve health predictions with machine learning and data from electronic health records.
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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.
Big data and machine learning Get Started
Bring yourself up to speed with our introductory content
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Data science and machine learning platforms advance analytics
Data science platforms include a variety of technologies for machine learning and other advanced analytics uses. This handbook examines them and how they can be used. Continue Reading
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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
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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Multimodal machine learning in healthcare aids patient consults
In this Q&A, Louis-Philippe Morency talks about how he's building algorithms that capture and analyze the three V's of communication -- voice, verbal and visual. Continue Reading
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Federated deep learning offers new approach to model training
Training deep learning models puts a massive strain on enterprise infrastructure, but federated learning, which trains models on endpoint devices, could lessen some of the demand. Continue Reading
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How to address the hidden risks of algorithmic decision making
From biased customer interactions to harmful treatment recommendations, some risks of automated decisions have yet to be resolved. A Wharton School professor has a way out. Continue Reading
Manage Big data and machine learning
Learn to apply best practices and optimize your operations.
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Better together: Predictive analytics and AI boost each other
Enterprises have long seen the value of predictive analytics, but now that AI is starting to influence forecasting tools, the benefits may start to go even deeper. Continue Reading
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Data scientists urged to take AI security threats more seriously
AI security hasn't been the top concern of most data scientists using machine learning. But as these systems move closer to the core of the business, security is becoming critical. Continue Reading
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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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Clean data for machine learning is key to successful AI
Many enterprises think their AI projects should start with massive amounts of data. But clean data for machine learning should be their first step toward AI. Continue Reading
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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