Artificial Intelligence can improve your Service Desk delivery without it becoming a hindrance to IT (i.e: an Enemy to the Help Desk).
A properly laid out AI Chatbot project can significantly enhance Service Management effectiveness by exposing, categorizing, and organizing your ITSM data.
When exposed and further enriched with machine learning, natural language processing, and sentiment analysis, this information can be leveraged to supercharge an organization’s service management and technology lifecycle governance efforts.
The main learning objectives from this session will be:
Senior Research Analyst at SDI
Fuelled by SDI Insight, this session will give the audience an insight into what service desk professionals are focusing on over the next year, and how this has changed since 2017. We will also look at technologies of varying complexities which are currently facing the service desk and how they could impact IT professionals and customers alike in the near future. Of course, many service desks do not have the resources or budget to be able to implement cutting edge technology, so this session will also look at what service desks can do now in order to prepare for the future.
Senior Business Solutions Consultant at Axios Systems
Ed Perez of Axios Systems has over 20 years of IT industry experience in planning and designing technology solutions. Ed's focus is on utilizing the best approach and the most appropriate technology and resource to solve business problems. His extensive background uniquely combines pre-sales, sales, and services to provide customers with a superior advantage in IT. Ed's skills within ITSM and ITOM have provided great value for Axios Systems as well as other major software companies such as IBM, HP, BMC Software, and others.
Business Development Manager at Brainpool AI
Clayton is the Business Development Manager at Brainpool and is responsible for leading sales & marketing. He strives to bring a commercial and pragmatic mindset to AI; ensuring that conversations around complex topics remain accessible to stakeholders at all levels and that the AI ‘hype’ isn’t confused for reality.
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