To try to remedy the problem, Bloomberg is testing a chatbot-style interface for the Terminal, ASKB (pronounced ask-bee), built atop a basket of different language models. The broad idea is to help finance professionals to condense labor-intensive tasks, and make it possible to test abstract investment theses against the data through natural language prompts. As of publication, the ASKB beta is open to roughly a third of the software's 375,000 users; Bloomberg has not specified a date for a full release. Wired spoke with Edwards at Bloomberg's palatial London headquarters in early April, where he shared several examples of what ASKB can do. "With ASKB, I can create workflow templates. I can write a long query, and say, 'Hey, here's all the data I'm going to need. Give me a synopsis of the bull and bear cases, what the Street is saying, what the guidance is.' Now, I want to schedule [the workflows] or trigger them when I see this or that condition in the world."
As for what separates mediocre traders from the best, assuming both have access to the same data, Edwards said: "These tools are not magical. They don't make an average [employee] all of a sudden great. The difference will be your ideas. In the hands of experts, it allows them to do better analysis, deeper research -- to sift through 10 great ideas when they might have only had time for one. If you're a mediocre analyst, they'll be 10 mediocre ideas."
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