Dawn C Simmons is available for your Digital Transformation needs.

Dawn C Simmons - Digital Business Process

ITSM Capability Model- L1

ITSM Capability Maturity Model

In a world where technological landscapes are constantly evolving, the role of IT Service Managers has never been more critical. They are the architects of seamless operations, the guardians of customer experience, and the driving force behind continuous improvement. With a keen understanding of ITSM practices, they transform chaos into harmony, elevating service delivery to new heights. Their leadership sets the standard for excellence, ensuring that every ticket, every change, and every incident is handled with precision and care. In this dynamic landscape, IT Service Managers are the unsung heroes, the linchpins of organizational success, and the champions of a brighter digital future.

BMC Remedy ITSM Reference

BMC Remedy ITSM Reference

Containing proven and practical implementation, maintenance, and optimization advice to the IT service and support environment. Authored by widely respected practitioners and experts, and developed with a hands-on approach. It provides a holistic view for setting up a Support Centre and gives a reference for Support managers to evolve their existing Support Centre, guidance to implementing ITIL processes and other Support Centre processes not in ITIL and a focus on operational metrics for the Support Centre.

Gamifying ITSM Excellence

Gamifying ITSM Excellence: IT Service Leadership

Gamifying ITSM Excellence. ¬†Leveraging gamification, you can conquer prevalent ITSM challenges and attain excellence. This dynamic approach fosters shared visions, secures senior buy-in, surmounts change resistance, addresses resource constraints, and […]

ROI: Demand AI Service Management

Artificial intelligence, predictive intelligence, and ChatGPT are playing a significant role in enhancing Major Incident Communications. These technologies bring several benefits and improvements to the process, including: Faster incident response: With the help of artificial intelligence and predictive intelligence, major incidents can be detected and assessed more quickly. AI algorithms can analyze various data sources, detect patterns, and identify potential incidents before they escalate. This enables faster response times and reduces the impact of incidents. Automated incident notifications: AI-powered systems can automatically generate and send incident notifications to the relevant stakeholders. These notifications can be customized based on the severity and type of incident, ensuring that the right information reaches the appropriate individuals or teams in a timely manner. Real-time incident updates: AI technologies enable real-time incident updates by monitoring and analyzing data from various sources, including monitoring tools, log files, and social media. This allows incident communication teams to have up-to-date information about the incident, which can be shared with stakeholders through communication channels such as chatbots, emails, or mobile notifications. Natural language processing: ChatGPT, a conversational AI model, can understand and generate human-like responses, making it valuable in major incident communications. It can assist in answering common questions, providing status updates, and offering guidance to affected individuals or teams. ChatGPT can help alleviate the communication workload and provide consistent and accurate information during critical incidents. Sentiment analysis: AI-powered sentiment analysis can gauge the emotional tone of communications related to major incidents. This helps incident communication teams understand the impact of the incident on affected individuals or teams and tailor their communication accordingly. By identifying and addressing concerns or frustrations promptly, they can better manage the overall incident response and maintain stakeholder satisfaction. Knowledge base management: AI technologies can assist in maintaining and updating a comprehensive knowledge base for major incident communications. By analyzing incident-related data, AI algorithms can identify relevant articles, documentation, or resolutions, making it easier for incident communication teams to access accurate and up-to-date information when responding to incidents. Overall, artificial intelligence, predictive intelligence, and ChatGPT offer significant improvements in major incident communications by providing faster incident detection, automated notifications, real-time updates, natural language processing capabilities, sentiment analysis, and knowledge base management. These technologies enhance the efficiency, accuracy, and effectiveness of incident response, helping organizations minimize the impact of major incidents and improve stakeholder communication.

Maximizing ROI: Emergent Demand for AI Service Management. AI is actively reshaping mainstream healthcare, legal and Federal Government. Make no mistake Artificial Intelligence is not taking jobs, so much as […]

Freshwork’s Multichannel vision for FreshService (ITSM)

Freshworks

FRESHWORKS: the COMPANY: Headquartered in San Mateo, California, Freshworks employs 4,000 employees from 13 global locations. Freshworks became a public company, trading on Nasdaq as FRSH. Their founders Girish Mathrubootham and Shan Krishnasamy aim is […]