Xceptor: Automating Data Automation
How does a company that was at the forefront of data processing and automation adapt with the emergence of machine learning to further enhance its product offering?
How does a company that was at the forefront of data processing and automation adapt with the emergence of machine learning to further enhance its product offering?
How will machine learning impact gifting as a retail business? 1-800-Flowers is partnering with Watson to innovate their customer experience.
As long as vanity exists there will be a market for skincare. Learn more about how innovative companies leverage artificial intelligence, machine learning, and big data to disrupt a $140B global skincare market.
Flexport, a software-powered freight forwarding company, needs to build an AI-first office in Canada in order to improve its product development and global operations.
Shifts in the consumer demand are pushing the traditional manufacturers to be more efficient than any other times before. SUALAB is using machine learning on vision inspection to help those manufacturers fulfill the new demand and maintaining control over costs.
As digital streaming has become the preferred method of consuming music, machine learning has taken its place at the heart of the music world. Where does that leave Sony Music?
The US Department of Homeland Security is exploring machine learning. The outcome could be increased security and shorter lines, but what are the risks?
When surviving competitively afloat the mining industry’s ocean of high and low tides seemed impossible, Rio Tinto leveraged Big Data and Machine Learning to revolutionize the mining industry over the past decade, through its state-of-the-art autonomous operations.
With machine learning, Facebook has built robots that can negotiate and even lie; what are the business and societal implications for Facebook and its users?
In an evolving world, Supply Chain service providers need to proactively invest in new technologies to try and avoid obsolescence. Will that be enough?