With DXA, Streebo has dramatically changed how it brings chatbot solutions to its customers. “We can make an app business ready and customer ready,” adds Memon. While IBM Cloud Pak for Integration helps unify management for both the Watson and third-party APIs that DXA makes available to customize solutions.įor example, DXA uses IBM Watson Language Translator technology to support over 100 languages, while IBM Watson Natural Language Understanding makes it easier for users to communicate with and be understood by the developed bots. The business uses IBM Cloud Pak for Applications to facilitate the conversion of integrated applications to microservice architectures and for cloud-native development. And DXA can also be used with IBM Cloud Pak for Data, allowing deployment of these conversational chat solutions either on premise or in multi-cloud environments.Īnd for businesses that want to modernize their entire application infrastructure, infusing both their new chatbot and their architecture with AI, Streebo takes advantage of both IBM Cloud Pak for Applications and IBM Cloud Pak for Integration. Users can then choose from a catalog of already developed chatbot templates and widgets to create a customized solution that fits their unique needs. IBM Watson Assistant acts as the heart of the solution, with the Streebo accelerator built on top. And we’re making it easy - even someone from the line of business can assemble these enterprise-grade bot solutions.” “Rather than writing code, we’ve automated the coding with a drag and drop, point and click tool,” clarifies Memon. The Streebo Digital Experience Accelerator (DXA) offers a low-code, no-code development platform that can create nuanced, robust and intelligent virtual agents without a lengthy training period. But we stumbled across this idea in our research lab - a bot accelerator that could cut the development time and the go-to-market time.”Īnd to bring this breakthrough accelerator to market, Streebo needed the right technology and the right partner.Ī long-time IBM Business Partner, Streebo chose to incorporate Watson technology into its new chatbot accelerator. One that is more than an interactive FAQ, that is meaningful for the end customer. “The biggest challenge in creating these solutions is the amount of professional services it takes to build a compelling and intelligent bot. “Transactional bots are very expensive and very, very hard to build,” notes Memon. But the process of delivering on these requests was less than ideal. In fact, many of the company’s existing customers had already approached the business, requesting digital transformation apps that included chatbot and messaging functionality. We feel that just as every service has a mobile app now, every application will eventually need a voice and chat interface.” “They like asynchronous communication, and they tend to want to use a chat interface rather than speaking to someone over the phone. And the average user spends about three hours a day on these platforms.”Īnd all of this communication led Streebo to some clear conclusions. Instagram and WhatsApp have users in the billions. Facebook is exchanging five trillion messages a day. “And all of these social media apps are just messaging apps. “Nearly every user in the world has a social media handle,” explains Uzaira Memon, Associate Partner at Streebo. In many cases even email - one of the communication marvels of the late 20th century - can feel a bit outdated and archaic.īut at the same time, conversation (while dramatically different) remains at the heart of how we connect with each other, with information and with business. And rather than call someone on the phone, we’re more likely to fire off a quick text or reach out to them on social media. Outside of immediate family and close friends, conversations rarely happen face-to-face anymore. Business challenge story Connecting differently
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