artificial intelligence

  • 1709

    Beyond Efficiencies: How Asset Managers Can Use AI and Machine Learning to Improve the Impact of Their Marketing Collateral

    Volumes have been written and discussed about the application of artificial intelligence (AI) technologies, such as machine learning and natural language processing, for sales and marketing functions, particularly in the consumer retail space. Retailers are leveraging AI and big data to identify daily buying patterns, target ads, recommend products, generate customized content and communications, predict needs and questions, personalize experiences, optimize pricing dynamically and engage customers intelligently via chat bots. But what about industries that are focused on businesses or high net-worth individuals, rather than the day-to-day consumer? How can AI and machine learning be applied to the world of [...]
  • 1689

    Building an Enterprise AI Platform for Today and Tomorrow

    When designing and implementing AI solutions, organizations face important questions around the type of AI to choose and which platform to use. What most quickly discover is that no single technology solution can handle it all. How can organizations navigate the fast-changing landscape without missing today’s opportunities? And, how can they enable rapid innovation by empowering their AI community through self-service tools and resources?

  • 1647

    Powering Predictions in Congestion Trading: A new era for analytics

    In the world of power trading, the ability to predict congestion demand, and price accurately has become a vital competitive differentiator. Across the sector, decreased volatility has led to more organizations pursuing a greater number of smaller opportunities—and it’s clear that traditional approaches are no longer enough.

  • 1416

    CAN BANKS GET SMARTER? Rethinking AI in financial services

    As competition in financial services grows, success hinges on delivering exceptional customer service. The high cost of doing so has proved a barrier, driving many firms to turn to innovations that hold huge promise such as artificial intelligence (AI). However, there are major risks and the potential for costly mistakes. Conor Ogle and Rashed Haq look at what strategies need to be in place to ensure AI projects deliver and what firms can learn from recent implementations.

  • 1296

    ROBOTIC PROCESS AUTOMATION: The silver bullet for operations or another red herring?

    Recognizing that existing operational models cannot be sustained, organizations are exploring new ways to innovate, most notably through robotic process automation (RPA). But is RPA worth the hype? Is it the ultimate solution for enhancing control and reducing costs within operations? Or is it just another quick fix that won’t work over the long term?

  • 1245

    ARTIFICIAL INTELLIGENCE: how it’s transforming financial services today

    As customers and employees demand better and faster ways to engage, organizations are turning to digital technology to help them transform, remain competitive and grow. For many firms, this means improving how they interact with—and meet—customer needs. In fact, customer experience represents the single best opportunity financial services firms have to deliver on their priorities, according to a survey by Econsultancy. What’s more, 45 percent of respondents indicated that making the customer experience as personalized and relevant as possible is their key focus. CEOs around the world are not asking if digital disruption will occur, but instead, what it means [...]