Kanchan Shringi 00:04:01 Tell us a little bit more about max. Um, and also the technology has evolved to a point where bullying such technology, such innovation, uh, in a credible manner as possible. A lot of users are beginning to use it and they consider it useful. Venky Naganthan 00:03:38 Certainly the rays of Siri, Alexa, Google assistant, like, uh, platforms that have, you know, popularize this right. Kanchan Shringi 00:03:29 So why is it taking off now though? Was this need not felt earlier or is it just that we have the technology at this time? Venky Naganthan 00:03:26 That’s what it fits in. So to address all of the use cases and Delaware and optimal UX, they got a mix traditional user interfaces with non-traditional ones. And as soon it was on mobile and nowadays applications are becoming more complex. At one point, we used to live on command line interfaces and then they became gooeys and then they got subsumed them to the web interface. And also if you look at it from a historical perspective, virtual assistant is basically a natural evolution of user interfaces. So that’s essentially how I view chatbots and logical assistance for most applications. There’s no way for the user to retrieve this information, chat bots help collapse the complexity of your user interfaces in Delaware, far more information using a much simpler UX. For instance, if the user has questions like what’s my average daily balance, how many ATM transactions are performed in the last month, unless the user NFS has these options. For example, if you’re building a banking website, your traditional user interface is good for users logging in and reclaiming your basic account information and transaction history, but I’m sure their application is capable of delivering a far more diverse set of information at much greater depth.
Venky Naganthan 00:01:55 So I think a traditional user interfaces has something that’s more suitable for use cases that we can anticipate in advance. What was the need for this? You conversational AI for your B2B app and why now? Kanchan Shringi 00:01:44 Let’s jump in with a very basic question. Venky Naganthan 00:01:40 Um, no, that looks great. Is there anything else you’d like to add to your bio? Prior to conga Winkie was director of engineering AI platform Welcome wonky, really looking forward to our conversation today. That acts as a personal assistant for sales and marketing personnel. Max is a Siri Google assistant and Alexa like AI powered intelligence platform. Winky has led the Aptus now conga max AI mobile assistant for Coton contract promo cool new lab concept to a live product. He specializes in artificial intelligence and chatbots in the last two years. Notten Winky, senior director of engineering at conga.
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To suggest improvements in the text, please contact Radio 00:00:00 This is software engineering radio, the podcast for professional developers on the se radio is brought to you by the computer society, as well as your billing software magazine online at /software. This transcript was automatically generated. Transcript brought to you by IEEE Software Episode 442: Arin Bhowmick on UX Design for Enterprise Applications.Episode 214: Grant Ingersoll on his book, Taming Text.The discussion also includes staffing of a team, testing and some insights into the build vs buy for the NLU engine. The discussion then drills into the platform services required to implement a Conversational assistant for Enterprise Apps and the challenges that are unique to B2B use cases. They discuss the basics of Natural language Processing and Natural Language understanding as well as what part Machine Learning and Deep learning plays. Host Kanchan Shringi speaks with Naganathan about the need for the new UI paradigm for Enterprise Apps, what have been the enablers and the business use cases suited for this paradigm. B2B companies have also started adopting the paradigm. Director of Engineering at Conga specializing in Artificial Intelligence and Chatbots talks about the buzz around Conversational UI.