Envision democratizes the intelligent application development process by allowing a far larger group of knowledge workers to design and deploy these next generation applications. To date, intelligent application development has been a disjointed, iterative and plodding process. You had some people with ML experience, others with data experience, others with business experience and yet others with development and deployment experience. The challenge was getting all of those people on the same page. It was difficult at best, so much so that many organizations did the natural thing – default to the familiar – powerpoint, excel or .pdfs.
In today's intensely competitive data-driven era, speed to insight has become critical for success. Predictive models have little value unless they're rapidly operationalized for use within your business. Business analysts can make huge strides by improving data insights and delivering proactive "intelligent" dashboards with machine learning. In this webinar, analytics industry expert Jen Underwood, founder of Impact Analytix, will demonstrate how to visualize machine learning results with dashboard tools like Tableau, Qlik, Microsoft Power BI, and even Excel. With just a few mouse-clicks, you can slice, dice, maximize, and democratize the value of machine learning into actionable, intelligent dashboards.
There is a great dispute among researchers about the roles, characteristics, and specifications of what are called agents, intelligent agents, and adaptive agents. Most research in the field focuses on methodologies for solving specific problems (for example, communications, cooperation, architectures), and little work has been accomplished to highlight and distinguish the field of intelligent agents. As a result, more and more research is cataloged as research on intelligent agents. The Workshop on Intelligent Adaptive Agents, presented as part of the Thirteenth National Conference on Artificial Intelligence, addressed these issues as well as many others that are presented in this article.
Knoblock, Craig A. (University of Southern California) | Ambite, José Luis (Information Sciences Institute) | Carman, Mark James (University of Lugano) | Michelson, Matthew (University of Southern California) | Szekely, Pedro (University of Southern California) | Tuchinda, Rattapoom (University of Southern California)
The goal of the Electric Elves project was to develop software agent technology to support human organizations. We developed a variety of applications of the Elves, including scheduling visitors, managing a research group (the Office Elves), and monitoring travel (the Travel Elves). The Travel Elves were eventually deployed at DARPA, where things did not go exactly as planned. In this article, we describe some of the things that went wrong and then present some of the lessons learned and new research that arose from our experience in building the Travel Elves.