Salesforce buys Tableau, and Google buys Looker, kicking off a new wave of consolidation in the analytics and BI space.
There’s no one-size-fits-all solution to becoming AI-ready, but the building blocks for maximizing its value over the long term are already available.
To apply AI to customer service interactions, you need both machine learning and natural language processing, which is why demand for NLP skills are on the rise in the job market.
IT leaders can close the digital gap by taking product, customer, inventory, invoice and other information and make it a more modern user experience.
If your company is considering hiring remote IT workers, these five tips may help guide you to success.
Yevgeni Litvin describes how Petastorm facilitates tighter integration between Big Data and Deep Learning worlds, simplifies data management and data pipelines, and speeds up model experimentation. By Yevgeni Litvin
Chief information officers stand at the forefront of how companies make and adapt to technological change. Here are four takeaways from the MIT CIO Symposium that they should keep in mind.
AI and machine learning are powered by lots of data, so much so that one futurist thinks today’s cloud architectures aren’t enough.
IT leaders should keep in mind that a good data analytics design starts with understanding how data is being used within their enterprise organizations.
Turn sales professionals into their own data masters. Help them organize disparate data, which can lead to intelligence and actionable insights.