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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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.
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November 30, 2017
30
Nov'17
The brain-computer interface comes of age?
Two entrepreneurs on the forefront of emerging tech describe their progress on developing a brain-computer interface for commercial use.
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July 07, 2017
07
Jul'17
Developing AI apps free from bias crucial to avoid analytics errors
Biased data samples or model development practices can derail any company interested in using AI tools and diminish the technology's return on investment.
Big data and machine learning Get Started
Bring yourself up to speed with our introductory content
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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
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Labeled data brings machine learning applications to life
The types of data being collected for analytics use are increasing, but traditional structured data is a good match for machine learning. Gartner's Svetlana Sicular explains why. 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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At Intuit, machine learning enhances products, CTO says
Intuit's machine learning and AI technology are transforming its many financial software products. CTO Tayloe Stansbury discusses what that means for Intuit. Continue Reading
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Data scientist vs. business analyst: What's the difference?
Data science and business analyst roles differ in that data scientists must deep dive into data and come up with unique business solutions -- but the distinctions don't end there. Continue Reading
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Getting to machine learning in production takes focus
Bridging the gap between training and production is one of the biggest machine learning development hurdles enterprises face, but some are finding ways to streamline the process. Continue Reading