Artificial intelligence and analytics
Artificial intelligence technologies such as machine learning underpin the advanced analytics tools many large companies rely on for a competitive edge. As AI becomes pervasive, a wider range of companies will have access to Artificial intelligence tools to aid business decisions. Get the best news and information on artificial intelligence and analytics including AI tools, tips and more.
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Free Guide: 5 Data Science Tools to Consider
With the right data science tools, you can gain powerful insight out of the ever-growing pools of corporate data. Learn why data science experts are using Python, R, Jupyter Notebook, Tableau, and Keras.
Artificial intelligence and analytics News
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May 12, 2020
12
May'20
Sigma Computing brings in new CEO
Startup BI vendor Sigma Computing has hired Mike Palmer to take over as CEO and allow co-founders Rob Woollen and Jason Frantz to focus on product innovation.
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April 28, 2020
28
Apr'20
Sigma Computing adds new no-code tools to analytics platform
Sigma Computing added a no-code data modeling tool to its suite along with prebuilt dashboard templates aimed at introducing new users to business intelligence.
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April 20, 2020
20
Apr'20
NLQ, developer tools highlight Sisense BI platform update
The latest update from Sisense features a new natural language query tool built on graph technology and a hub for low-code/no-code embedded application development.
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April 15, 2020
15
Apr'20
Atrium offering combines powers of Salesforce and Tableau
A new offering from the Atrium consultancy hints at how Salesforce's Einstein Analytics and Tableau may complement each other now that Salesforce has acquired Tableau.
Artificial intelligence and analytics Get Started
Bring yourself up to speed with our introductory content
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AI, blockchain and IoT convergence improves daily applications
IT pros may find IoT, blockchain and AI difficult to conceptualize as individual technologies, but together, the three can generate data, improve analysis and establish trust. Continue Reading
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NLP uses in BI and analytics speak softly but carry a big stick
Self-service analytics vendors are adding NLP features to their tools to make them even easier to use. Learn about notable NLP applications as well as some caveats. Continue Reading
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data scientist
A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, ... Continue Reading
Evaluate Artificial intelligence and analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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The top augmented analytics tools vendors are offering
From natural language querying to automated data preparation, augmented analytics are key capabilities for the top BI platforms. Read on to see what popular vendors are offering. Continue Reading
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Implementing an analytics business plan requires commitment
In order to get the most out of an analytics business plan, companies must have clear goals and communication, as well as proper buy-in companywide. Continue Reading
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Data scientist vs. machine learning engineer careers
There are many careers under the data science umbrella, including data scientist and machine learning engineer. But what's the difference between the two? Read on to find out. Continue Reading
Manage Artificial intelligence and analytics
Learn to apply best practices and optimize your operations.
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AI and IoT projects optimize industries inside and out
Organizations can reap greater rewards from the multiple ways AI and IoT technology can be used to improve supply chain processes, customer experiences and cybersecurity. Continue Reading
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Data visualization in machine learning boosts data scientist analytics
Data scientists offer practical insights into the role of visualization tools in building, exploring, deploying and monitoring their machine learning models. Continue Reading
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How to create a data set for machine learning with limited data
A shortage of data for machine learning training sets can halt a company's AI development in its tracks. Turning to external sources and hidden data can solve the problem. Continue Reading
Problem Solve Artificial intelligence and analytics 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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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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Combination of blockchain and AI makes models more transparent
Blockchain technology could play an important role in helping enterprises develop more explainable AI applications, something that is frequently lacking today. Continue Reading
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IoT and AI innovate construction and mining
While AI and IoT have already made inroads in various industries, their effects are beginning to be felt in construction and mining. Continue Reading