AI and crypto are trying to combine forces. FalconX's new trading bot, Satoshi, may be their first major breakthrough together. Artificial intelligence could soon be making waves in the cryptocurrency business, though perhaps not in the way you think. Rather than merging the two technologies, San Francisco-based prime broker FalconX plans to put a chatbot in the co-pilot's seat for investors. Using technology created by OpenAI, whose ChatGPT program is helping companies like Microsoft rewire online search, FalconX clients will be able pose questions like "What are the three biggest differences between two blockchain platforms?"

As the pandemic has shut down in-person meetings, and pushed us online, products like Zoom, Cisco WebEx, Google Meet and Microsoft Teams have become part of our daily lives. Into the fray jumps huddl.ai, a 3.5-year-old startup from a serial entrepreneur who wants to bring a dose of artificial intelligence to meeting technology. Company co-founder and CEO Krishna Yarlagadda says while these companies have introduced the video meeting concept, his startup has a vision of taking it further. I think the next [era] is going to be about intelligence," Yarlagadda told TechCrunch. That involves using AI tools to transcribe the meeting, pull out the salient points and help users understand what happened without poring over notes to find the key information in a long session. "Primarily there's a purpose for every meeting, or essentially we're meeting for outcomes, and that's where Huddl comes in," he said. Yarlagadda said that current solutions simply give you a link to a cloud room and everyone involved clicks and enters. Huddl wants to bring some more structure to that whole process. "We've developed a very user-centric architecture and also added a layer called meeting memory, which essentially captures the core aspects of the meeting -- the agenda, action items and moments and then added search," he explained. They call these meeting elements moments, and they involve capturing three key aspects of the meeting: the agenda and collaborative notes participants take during the meeting, screen captures the user takes using a built-in tool and, finally, audio, which captures a recording of the meeting. Users can search across these elements to find the parts of the meeting that are most relevant to them. Further, it integrates with other enterprise applications like Slack or Salesforce to move to applicable tools items discussed during these meetings when it makes sense. "Essentially what we're trying to do is create a five-minute version of your 60-minute meeting that is stored in your memory and that becomes part of your search.

As the pandemic has shut down in-person meetings, and pushed us online, products like Zoom, Cisco WebEx, Google Meet and Microsoft Teams have become part of our daily lives. Into the fray jumps huddl.ai, a 3.5 year old startup from a serial entrepreneur, who wants to bring a dose of artificial intelligence to meeting technology. Company co-founder and CEO Krishna Yarlagadda says while these companies have introduced the video meeting concept, his startup has a vision of taking it further. I think the next [era] is going to be about intelligence," Yarlagadda told TechCrunch. That involves using AI tools to transcribe the meeting, pull out the salient points and help users understand what happened without pouring over notes to find the key information in a long session. "Primarily there's a purpose for every meeting, or essentially we're meeting for outcomes, and that's where Hudl comes in," he said. Yarlagadda said that current solutions simply give you a link to a cloud room and everyone involved clicks and enters. Huddl wants to bring some more structure to that whole process. "We've developed a very user centric architecture and also added a layer called meeting memory, which essentially captures the core aspects of the meeting -- the agenda, action items and moments and then added search," he explained. They call these meeting elements moments, and they involve capturing three key aspects of the meeting: the agenda and collaborative notes participants take during the meeting, screen captures the user takes using a built-in tool, and finally audio, which captures a recording of the meeting. Users can search across these elements to find the parts of the meeting that are most relevant to them. Further, it integrates with other enterprise applications like Slack or Salesforce to move items discussed during these meetings to applicable tools when it makes sense. "Essentially what we're trying to do is create a five minute version of your 60 minute meeting that is stored in your memory and that becomes part of your search.