Features

Features

• AI in manufacturing beneficial, but adoption slow

  Artificial intelligence is a natural fit for the sensor-filled manufacturing industry, but it's not commonplace. What's taking manufacturers so long?  Continue Reading

• Google's cloud-based platform aims machine learning, AI at enterprise

  Google's enterprise cloud platform is starting to become a factor in business IT thanks to strong data preparation, machine learning and AI capabilities.  Continue Reading

• Analytics VP: AI projects must be built on a good data foundation

  Companies may be eager to speed up AI implementations to get to the exciting parts, but the less-hyped aspects of data governance can't be rushed, says LendingTree's head of analytics.  Continue Reading

• EBay joins partnership addressing concerns around AI in business

  In joining a group that is looking to tackle some of the biggest problems related to the use of AI in business, tech giants like eBay are putting aside competition, at least for now. An eBay IT exec explains why.  Continue Reading

• Make room for AI applications in the data center architecture

  For AI applications, the future is now. But implementing artificial intelligence in an enterprise data center presents obstacles for network, storage and compute infrastructures.  Continue Reading

• Analytics teams eye machine learning use cases to boost business

  Experienced users of machine learning tools share how their organizations are using the technology to solve a variety of analytics problems in their businesses and for customers.  Continue Reading

• What businesses need to know about cognitive computing systems

  While cognitive computing tools have come far in utility, they still have some important gaps. Understanding these hitches may be key to getting value from the platforms.  Continue Reading

• Machine learning platform helps IT workers find experts at their firm

  Collokia runs on top of a browser and uses machine learning to understand the skills of IT workers and allow employees to find colleagues with the most expertise on a topic.  Continue Reading

• With AI tools, enterprises need to differentiate between hype and value

  Enterprises can reap real value by implementing AI applications, but seeing that value through the fog of hype can be difficult, says one expert.  Continue Reading

• EBay uses machine learning techniques to translate listings

  To help connect users from different countries and bridge the language barrier, eBay is using machine learning tools to automatically translate item listings.  Continue Reading

• AI chatbot apps to infiltrate businesses sooner than you think

  Artificial intelligence chatbots aren't the norm yet, but within the next five years, there's a good chance the sales person emailing you won't be a person at all.  Continue Reading

• How to explain the business benefits of advanced machine learning

  The business value of machine learning algorithms isn't always obvious. As the top data scientist at one analytics services provider knows, they often require some explanation to business audiences.  Continue Reading

• Job losses from artificial intelligence software seen as unlikely

  There's been a lot of discussion about how likely artificial intelligence applications are to destroy jobs, but one expert says the impact will be small and beneficial.  Continue Reading

• Reality check needed to assess AI applications

  When assessing the reality behind today's AI technology, businesses need to think about how it can perform in specific tasks rather than hoping for a do-it-all tool.  Continue Reading

• Deep machine learning drives Loop AI quest

  Loop AI Labs' Bart Peintner discusses the transformational impact of deep learning technology, artificial intelligence, and how these tech trends will reshape industries.  Continue Reading

• Data lakes swim with golden information for analytics

  First we had data. Then we had big data. Now we have data lakes. Will the murky depths prove bountiful?  Continue Reading