PUBLISHER: QKS Group | PRODUCT CODE: 1609514
PUBLISHER: QKS Group | PRODUCT CODE: 1609514
This product includes two reports: Market Share and Market Forecast.
Quadrant Knowledge Solutions Reveals that Chatbots for IT Operations Market is Projected to Register a CAGR of 20.12% by 2028. A chatbot simulates and processes spoken and written human conversations via a computer program, enabling humans to interact with digital devices. Chatbots for IT operations are computer solutions that understand and respond to human conversations using artificial intelligence (AI), machine learning (ML) models, and natural language processing (NLP). The chatbot for IT operations is one of the use cases of conversational AI platforms that allow organizations to automate IT teams' mundane tasks in a human-like conversation through text or voice interactions. By implementing chatbots effectively, IT operation teams can increase helpdesk ticket deflection and MTTR (mean time to repair), handle request management, and perform device/application troubleshooting.
Quadrant Knowledge Solutions defines chatbots for IT operations 'as AI-powered solutions designed to streamline IT support processes by offering real-time assistance, resolving issues, managing alerts, ensuring cybersecurity, learning from interactions, and providing multi-channel accessibility'.
Quadrant Knowledge Solutions Reveals that Chatbots for IT Operations market Projected to Register a CAGR of 20.42% by 2028. The emergence of generative AI models such as GPT-3 and PaLM has opened new possibilities for enhancing chatbots, especially for complex use cases such as IT operations support. By generating realistic and reasonable content, generative AI can enable more intelligent conversations. Generative AI will be a catalyst for IT operations management as it will enable chatbots to go beyond just responding from a fixed knowledge base. Chatbots integrated with generative models can understand context, ask clarifying questions, and provide answers by generating new text and content based on available data. This can significantly improve chatbots' ability to handle complex and nuanced IT support queries from employees. Where earlier chatbots struggled with conversations beyond narrow use cases, generative AI can expand the scope to cover a wider variety of IT issues employees may face. The challenges include training generative models on niche IT terminology and issues and filtering out potential inaccuracies or inappropriate content. Generative AI may not fully automate complex IT conversations requiring human judgment in the near future, but by augmenting human agents and allowing chatbots to handle an increasing portion of routine IT support queries, generative AI can drive significant productivity and cost gains. This indicates its sizeable potential to enhance the capabilities of chatbots targeted for IT operations and transform how IT service desks operate in the coming years.