In November of 2018, the Conference Board held its most recent discussion series for its Future of Work research effort. The organization brought together roughly 300 senior executives from the human resources, finance, communications and legal departments of over 100 member organizations, gathering these leaders into two conference locations in Singapore and Shanghai, China.
“We call them ‘unconferences,’” interjects Sutcliffe, “since the event was designed to specifically limit speakers as we want to capture the collective wisdom of the over 300 executives, so attendees were organized into 16 working groups that focused on how to respond to and take advantage of the disruptive changes happening today. We would ask them questions about their strategic intent on these topics, and then we polled them in real time regarding the strategies that they defined.”
And to help participants be adequately prepared during these discussions, the Conference Board employed the Cognitive Artificial Intelligence Technology for Organizations (CAITO) solution provided by CBA.
The CAITO Knowledge Platform can sift through large volumes of unstructured data, such as more than a decade’s worth of research reports, unifying this information into a centralized framework of knowledge repositories. Users, in turn, can then search through these repositories with natural language questions that yield new insights. For the Future of Work research project, these repositories included more than 5,000 studies from the Conference Board, its research partner Korn Ferry and several other organizations whose studies were available in the public domain.
“We partnered with CBA to create a CAITO model to provide our on-demand learning platform,” adds Sutcliffe. “So attendees might be discussing how best to manage Millennials in the workforce, and they’ll ask CAITO what research was available on that topic. But the beautiful thing about CAITO was that it could understand the question and not only answer it but also say, ‘Hey, what you really should be focusing on is how to deal with a multigenerational workforce. And here are some studies on that as well.’”
Working under an IBM Embedded Solutions Agreement (ESA), CBA expanded the cognitive capabilities that it built into its CAITO platform to incorporate IBM Watson Discovery technology, which provides additional search and analytics capabilities for the tool. And each CAITO model is hosted within a local cloud framework that is monitored using the IBM Cloud® Foundry offering, which supports the deployment and scalability of applications without manually configuring and managing servers. Further, the IBM Cloud Kubernetes Service solution enables the rapid delivery of applications, which can bind to advanced services like Watson technology.