New Jerse Devils introduces AI Chatbot ‘Bott Stevens’ via Theta EdgeCloud

The new jersey devils launched “Bott Stevens”, adapted and chatbot designed to improve digital fan engagement.

Named after the devils legend scott stevens, chatbot powered theta edgecloud’s (Theta) decentralized AI infrastructure and will be available on the official team of the team during the NHL season of 2024-25.

AI The Agent will provide real-time fans on real-time information, tickets, statistics and goods. Using the technology of generation Downloads Theta, Bott Stevens will withdraw data from official NHL sources, providing accuracy, and avoiding misinformation of unverified sources.

Fans can ask Chatbot a series of questions, such as impending match details or seasons and statistics receive instant answers.

Butim Stevens will power the Net of Theta EdgeCloud of over 30,000 edges and distributed GPU, offering more than 80 petaflops of computer power.

This provides scalability, even during the demand of peak, such as playoffs or principal team announcements.

In addition to responsibility to questions, and Chatbot will offer historical emphasis, play, information on the places and updates on team events. Over time, it can be expanded to include predictive analytics for fantastic sports and interactive fan engagement tools.

Questions and Answers with Mitch Liu, Director General Theta Laboratory

Q: How will the decentralized design of Theta EdgeCloud ensure that Chatbot can handle peak demand during the main events?

A: EdgeCloud’s decentralized design offers over 80 petaflops at the distributed GPU request, combining and Cloud and EDGE computer devices. Over 30,000 Global EDGE devices allows us to submit top use via the basic capacities based on the cloud and critical in professional and Esports industries in which the main events such as playoffs and finals forced the highest interest.

Q: How will “Bumble Stevens” pull accurate, real time from source like NHL API? What protective measures prevent obsolete or incorrect information? How will you keep the cloth to get out of the crowd and potentially incorrect sources?

A: The EdgeCloud Back-End platform defines which data sources to extract data, and it feeds in real-time cloths, so incorrect or incorrect sources and incorrect sources can be avoided. As in most generative models and LLM, the biggest challenge does not only set real-time data from reliable sources, but as this data is cleaned, prepares and normalizes, so it can be effective and accurately installed in the model.

Q: How will you provide data privacy and security for users who communicate with the chatbot? Do you store user data?

Chatbot does not maintain or maintain any user data outside the user’s session, and unlike traditional chatbots such as Deepseek or Chatggpt, focus on the contact in the industry, for example, only hockey information.

P: Is it planned to expand “Bott Stevens” with functions like predictive analytics? Do you want to download the technology further?

A: A great area of ​​development for us now expands the interactive chatbot cloth to become proactive agent and with different expandable actions, it is independent and autonomous. For example, the possibility of interface with customer service and CRM systems to automatically support the user’s satisfaction and agents that can increase the fan and a step towards the predictive analytics and player analysis and player analysis and player analysis.

Q: What attracted Theta Laboratory with New Jersey? What are the adjustment options available for other teams or brands?

A: Theta EdgeCloud got a good towing with professional sports teams beginning with Knights Las Vegas and Esports teams including Flukuest and Evil genius. The user interface is fully customizable and branded to be integrated into the website of each team, mobile applications, discord and other social channels. What is more important, real-time data source and APIs are adapted to the database clothing, such as Hockey Domains, such as Hockey NHL, Esports of Legends, Team / League / League specific information, and more.

Questions and Answers with Marc Cyampa, Vice President of the Content Hence

Q: How will the team promote “Bott Stevens” to launch engagement and fan adoption?

A: Promote “Buti Stevens”, the devils will integrate promotion on multiple platforms to encourage fan interaction, “Fot Stevens” opportunities and raise general consciousness.

P: What types of chatbot will be offered out of statistics and schedules?

A: Through providing statistics and schedules, “Bott Stevens” will offer Courier content to rich the fan experience, including historical emphasis and information on events and events and events. “Bott Stevens” will answer the questions about unforgettable moments from the team’s history, give details about upcoming events, thematic nights, etc. On devils and concert space and offer comprehensive details on the benefits of bobbies. These benefits include accessibility services, bag policies, locations of concession and ATM locations across place during place.

Q: How will you measure the success of Chatbot in improving fan engagements or sharing relevant and precise statistics / data?

A: We will measure success through user metrics, accuracy rates, feedback and reducing the workload. We plan to monitor the number of interactions, duration of sessions and repeated use, as well as monitoring the precision of information provided, ensuring that statistics and data are divided accurate and up-to-date. We will also collect feedback on research to understand the level of satisfaction and areas for improving and finding ways to measure the decrease in human support, which indicates the efficiency of Chatbots.

Q: How does and fatigue grow among customers, how will you “Boto Stevens” differ from other agic agents that are your customers already “digitally” daily?

A: Through continuous learning, human conversational tone, personalized interactions and creating Chatbot ecosystems. We will implement algorithms of learning machines that adapt to feedback and developing interests, ensuring that Chatbot remains relevant and engaged, as well as designing Chatbot’s communication style to be friendly and modificant, improving the Chatbot’s experience. We look like we will use to adapt the answers based on individual fan and behavior preferences, making each interaction unique. Eventually, “Buti Stevens” will be available in our application and related to other key aspects such as our guide for concession, a timing guide and other things we could think down the line.