#ai-itsm

[goodoldbandit]

Service Management Solutions That Make You Look Good.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Discover how service management solutions can elevate your leadership, enhance productivity, and drive business success. The Power of Service Management Solutions In today’s fast-paced and dynamic business environment, #ServiceManagementSolutions are more than just tools—they are strategic enablers that can elevate your…

[dhanasrivista]

Generative AI’s Role in IT Service Management: A Game-Changer for Efficiency and Innovation

In the rapidly evolving landscape of IT Service Management (ITSM), emerging technologies continually reshape the way organizations deliver, manage, and optimize IT services. One of the most disruptive innovations today is Generative AI, which is transforming how IT professionals approach their tasks. By harnessing the capabilities of machine learning and artificial intelligence, Generative AI is enhancing service efficiency, improving user experience, and paving the way for more predictive and proactive IT operations.

Generative AI, which refers to AI models capable of producing new content, data, or solutions based on learned patterns from vast datasets, has significant implications for IT Service Management. With the rise of Generative AI certification, professionals can gain the skills needed to harness this transformative technology. It goes beyond traditional automation, enabling ITSM teams to move from reactive problem-solving to proactive service enhancement. This technology offers more than just automated responses; it introduces intelligent, data-driven insights that can optimize IT service delivery and innovation.

1. Enhancing Service Desk Operations

One of the most prominent roles of Generative AI in ITSM is its impact on service desk operations. The service desk is the frontline of IT support, managing a multitude of tickets, incidents, and requests daily. Traditionally, managing these operations required significant human effort, with support teams spending time on repetitive, low-value tasks such as ticket classification, incident management, and basic troubleshooting.

Generative AI, particularly through AI-powered chatbots and virtual agents, is revolutionizing these operations. These intelligent tools can process vast amounts of data from historical tickets and documentation, enabling them to resolve common issues, provide step-by-step guidance, and offer tailored responses to users. For example, instead of waiting for human intervention, a virtual agent can quickly resolve a password reset request or troubleshoot a network connectivity issue. By automating these tasks, IT service teams can focus on more complex issues, ultimately improving productivity and reducing response times. Enrolling in a Generative AI Course can provide deeper insights into how these technologies work and how to leverage them for improved IT service management.

Moreover, generative AI models can continuously learn from interactions, becoming more effective and accurate over time. As a result, the service desk can provide more consistent, 24/7 support to users, ensuring that even complex queries are addressed swiftly without the need for manual escalation.

2. Improving Incident Management and Resolution

Incident management is one of the core processes of ITSM, requiring prompt and efficient handling of issues to minimize downtime and service disruption. Generative AI is playing a crucial role in optimizing this process by providing predictive insights and automating parts of incident resolution.

AI models can analyze past incidents, detect patterns, and predict potential future issues before they escalate into major problems. This predictive capability allows IT teams to proactively address vulnerabilities and risks in the IT infrastructure, thus preventing costly downtime. Additionally, when incidents do occur, Generative AI can quickly suggest solutions or provide troubleshooting guides to service desk staff based on historical data and contextual analysis.

Generative AI also enhances collaboration by providing real-time insights and recommendations to various teams across the organization. For example, if an incident is reported, AI can instantly identify similar cases, suggest resolutions, or alert relevant teams about recurring patterns, significantly speeding up the resolution process.

3. Streamlining Change and Release Management

Change management in ITSM involves controlling and overseeing modifications to IT systems, services, or applications. It’s a delicate balance between innovation and maintaining system stability. Generative AI can assist by providing detailed risk assessments, forecasting potential impacts of proposed changes, and recommending the best timing or methods for implementation.

By analyzing past changes and their outcomes, AI models can identify the most effective strategies for rolling out new services or updates. This capability is particularly useful for release management, where AI can simulate the impact of changes across different environments before they are implemented in production. Generative AI models can also automate routine aspects of the release process, such as code testing or deployment verification, ensuring faster and more reliable updates.

4. Optimizing Knowledge Management

Effective knowledge management is vital for ITSM teams to resolve incidents swiftly and maintain high service levels. Generative AI plays a transformative role by not only indexing and searching knowledge repositories but also creating new knowledge artifacts based on the data it processes.

For instance, AI can analyze IT service logs, historical ticket data, and other internal documents to automatically generate new troubleshooting guides or best practices. This ensures that the knowledge base remains up to date, reducing the time IT professionals spend searching for solutions. Furthermore, AI-driven knowledge management can enhance training and onboarding by providing real-time, contextual learning experiences for new employees, helping them adapt to complex IT environments more quickly.

5. Facilitating IT Asset and Configuration Management

IT asset management and configuration management are critical for ensuring that IT services are delivered efficiently and securely. Generative AI can support these processes by automating the tracking and auditing of IT assets, enabling real-time updates to configuration management databases (CMDBs), and generating recommendations for optimizing resource utilization.

AI models can also provide insights into the lifecycle of IT assets, predicting when equipment or software may need maintenance or replacement. This proactive approach reduces the likelihood of service disruptions due to outdated or malfunctioning assets, ensuring smoother and more reliable service delivery.

6. Driving Continuous Service Improvement

Continuous service improvement (CSI) is a key principle in ITSM, focusing on the ongoing enhancement of IT services. Generative AI plays a vital role in this area by offering real-time analytics and insights that inform decision-making.

With access to vast amounts of data, Generative AI can identify trends, predict future service demands, and recommend ways to optimize performance. For example, it can analyze service response times, user feedback, and system performance metrics to highlight areas for improvement. This data-driven approach helps IT teams make informed decisions and implement strategies that align with business goals and user expectations.

Conclusion: The Future of IT Service Management with Generative AI

Generative AI is not just another tool in the ITSM toolkit; it represents a paradigm shift in how IT services are delivered and managed. By automating routine tasks, providing predictive insights, and enabling more proactive service management, Generative AI empowers IT teams to focus on innovation and continuous improvement. As AI technology continues to evolve, its role in ITSM will only grow, offering new opportunities for enhancing efficiency, reducing operational costs, and delivering superior user experiences.

Incorporating Generative AI into ITSM strategies is no longer optional but essential for organizations aiming to stay competitive in the digital age. As this technology becomes more integrated into IT operations, businesses will experience a new era of service management, characterized by increased automation, smarter decision-making, and a relentless focus on innovation.

[appson-technologies]

The Impact of AI on IT Service Management (ITSM)

The rise of Artificial Intelligence (AI) is revolutionizing IT Service Management (ITSM), shifting from traditional reactive support models to proactive, predictive, and automated IT operations. Businesses today demand faster resolutions, reduced downtime, and intelligent automation, and AI is at the forefront of these transformations.

AI-powered ITSM enhances operational efficiency through self-healing IT support, predictive analytics, automated workflows, and AI-driven cybersecurity. AI virtual agents and self-service portals significantly cut IT support ticket volumes, while AI-powered asset and configuration management ensures optimized IT infrastructure.

Leading enterprises are already leveraging AI-driven ITSM solutions like ServiceNow Predictive Intelligence, BMC Helix ITSM, and IBM Watson AI to streamline ticketing, automate decision-making, and boost security compliance. Industries such as banking, healthcare, retail, manufacturing, and telecommunications are seeing significant benefits, from fraud detection to predictive maintenance.

However, AI-driven ITSM also comes with challenges, including data privacy concerns, resistance to automation, and the need for continuous AI training. Overcoming these hurdles requires organizations to strategically implement AI in phases, ensuring compliance with regulatory standards and continuously monitoring AI performance for optimization.

The future of AI in ITSM points toward hyperautomation, AI-driven IT governance, and advanced conversational AI for IT support. Businesses that integrate AI into their ITSM strategies will gain a competitive advantage by reducing costs, enhancing service quality, and strengthening cybersecurity.

For more details, click on the link to explore the full article. — Appson Technologies.

[jcmarchi]

Virtual leaders roundtable: Accelerate IT maturity in 2025 with AI

New Post has been published on https://thedigitalinsider.com/virtual-leaders-roundtable-accelerate-it-maturity-in-2025-with-ai/

Virtual leaders roundtable: Accelerate IT maturity in 2025 with AI

Date: Tuesday, April 29, 2025 – 6AM PST / 9AM EST / 2PM CEST | Location: Online

Discuss challenges with the ITSM landscape, real steps to get started with AI-powered solutions, and how it helps with transforming IT.

We invite you to join an exclusive, interactive virtual roundtable with industry peers, thought leaders, and our partners Freshworks.

This is a by-invitation-only event designed for senior IT leaders (minimum Director level) keen on leveraging AI to transform their IT landscape. Reserve your spot and be a part of the conversation.

A 2024 global survey by Harvard Business Review Analytic Services reveals that while 80% of IT decision-makers believe improving ITSM would enhance employee satisfaction, only 22% believe their organizations provide ITSM in a very effective manner.

The solution lies in going back to the basics – reducing complexities, dismantling silos, modernizing ITSM, and aligning it closely with business goals.

The event promises to be interactive as you meet with other leaders from the industry over lively discussions that highlight the focus areas for AI in IT, what challenges to look out for, and how you can showcase quick impact while scaling up your IT maturity with the power of AI.

Why attend?

✔ Engage in dynamic discussions – Collaborate with fellow IT leaders in an interactive setting designed to foster meaningful conversations and knowledge sharing. ✔ Gain exclusive insights – Learn from industry experts about the key focus areas for AI in IT and what challenges to anticipate as you scale IT maturity. ✔ Discover AI-driven solutions – Explore how AI-powered ITSM can dismantle silos, modernize IT operations, and create immediate impact while aligning IT with broader business goals.

[advisedskills]

🔍 How Automation is Reshaping Service Level Management

Is your IT team struggling to meet SLAs? Automation can be the key to optimizing Service Level Management. From AI-powered monitoring to automated incident resolution, discover how technology is transforming IT service performance.

Click here to explore the full article: https://www.advisedskills.com/blog/it-service-management/the-role-of-automation-in-service-level-management

#ITSM #Automation #ServiceManagement #AI

[technology-insights]

Top 5 IT Service Management Software of 2025: Streamlining IT Operations

In 2025, IT Service Management (ITSM) software continues to play a vital role in streamlining IT operations, helping businesses deliver faster, more efficient services. These tools improve service delivery, automate workflows, and provide real-time insights, making IT departments more responsive and cost-effective. Here’s a look at the top 5 ITSM tools for the year, selected for their unique features and capabilities:

SolarWinds Service Desk: Known for its intuitive self-service portal and seamless third-party integration, SolarWinds offers cloud-based ITSM that enhances service efficiency and supports reporting capabilities. It’s praised for its knowledge repository, though some users mention a steep learning curve and higher costs for smaller operations.

Jira Service Management: Atlassian’s Jira is a user-friendly, collaborative ITSM that integrates well with other Atlassian products like Jira Software and Confluence. Its advanced automation features streamline workflows, but its interface can be complex, and the cost of add-ons may be a concern for budget-conscious organizations.

Freshservice by Freshworks: An AI-powered, cloud-based tool, Freshservice is recognized for its scalability and flexibility. It automates routine tasks, improves team efficiency, and offers robust IT asset management. Some users find its customization options and reporting features limited.

Spiceworks Cloud Help Desk: A free, cloud-based solution, Spiceworks is ideal for small to medium-sized businesses. It’s praised for its simplicity and cost-effectiveness but may struggle with scalability as operations grow.

SysAid: SysAid offers comprehensive ITSM features, including AI-powered chatbots and asset management. It’s known for its customizability and integrations but may face some performance issues and feature limitations compared to larger ITSM providers.

These tools help businesses manage IT services more effectively, with each having its strengths and potential drawbacks depending on your organization’s size and needs.

[dhallblogs]

L&T Technology Services and SymphonyAI collaborate for AI-based Business Transformation.

Bengaluru: L&T Technology Services, a digital engineering and R&D company, and SymphonyAI, a predictive and generative AI SaaS product provider, have announced a partnership to provide transformative AI operations to enterprises worldwide.

ALSO READ MORE- https://apacnewsnetwork.com/2024/07/lt-technology-services-and-symphonyai-collaborate-for-ai-based-business-transformation/

[iso13485-blog]

A growing number of software programs are adding tools and capabilities for artificial intelligence (AI). Web search engines, digital assistants, and predictive analysis are examples of artificial intelligence (AI) techniques which improve the effectiveness of commercial applications. Information technology service management (ITSM) software is no different. By implementing AI strategy in ITSM software, businesses can increase their productivity and efficiency.

[gendarmeriereimsrecrutement]

La gendarmerie mobile à la foire de Châlons en Champagne

[aiservicedesk]

Explore the ITSM Maturity Curve and take your enterprise to new heights. Discover key insights and strategies to optimize your IT service management. Don't miss out – dive into the details now for a smarter, more efficient organization. Click here to read the article: ITSM

[serenastark-official]

Family and F∙R∙I∙E∙N∙D∙S

✨ Welcome to the Stark Family Tree (and Beyond) ✨ Because why have a normal family when you can have this?

💠 The Core Stark Clan 💠

💼 Old Starks

Howard Stark: “The man who built an empire but forgot to build relationships. Thanks for the tech legacy, though. I guess.” Blog: @you-know-me-you-do Maria Stark: “The legend herself, and yes, she’s got her own blog.” Blog: @maria-campbell-stark

Tony Stark: @the-ironman / @officialironman / @under0-0s

Pepper Potts: @pepperpotts-official / @pepper-potts-in-charge

Emma Stark: @emma-hope-stark-official

Maya Stark: @playgirlgenius

Morgan Stark: @official-morganstark / @cheeseburgergirlie

Lily Stark: @lilypad-stark

Eva Stark: @baby-girl-stark

Barbie: @the-iron-rose

Ravioli: @kapowkerblam

Starkinator: @the-cowboy-stark

Camie Stark: @c4m3r0n-st0n3

Nadia Stark: @nadia-stark-official

Finley Stark: @not-even-full-genius

🌐 The AI Family 🌐

JARVIS: @j-a-r-v-i-s-the-ai

FRIDAY: @friday-the-ai

Carlos: @carlos-the-ai

Toaster: @vision-not-a-toaster / @vision-stark-synthezoid

🕰️ Sanctum Buddies

Stephen Strange: @strangeofficial / @mysticmasterstephenstrange

Wong: @wong-the-not-wizard

Multiverse hopper: @multiversal-lesbian

Celestia Strange: @tia-the-sorceress

👑 Asgardians

Scuttle: @goddess-of-birds

Goldie Locks: @god-of-thunder-mcu / @stormsandstrength

Rudolf: @loki-thanosson @im-not-a-magician

🐦 Birds of a Feather

Clint Barton: @clintbarton-thearrowguy

Sam Wilson: @we-love-redwing / @captain-s-falcon / @ohyeah-itssamwilson

🧪 Science Bro

Bruce Banner: @imnothulk

🪨 Artifacts

Steve Rogers: “America’s favorite popsicle who sometimes forgets he’s not in the 1940s anymore.”

@americas-favourite-fossil

@steve-rogers-1940s (okay well, he's exceptional)

@proud-owner-0f-americas-ass

Bucky Barnes:

@justawhitewolf

@official-buckybarnes

@iwasmadetobeasoldier

@itsme-bonkybarnes

@official-jamesbarnes

💣 Chaos Bundle

Kamala Khan: @kamala-msmarvel-khan

Natasha Afiona: @oh-to-be-a-murderer

Borealis: @whosafraidoflittleoldme17

Fish Boy: @little-lost-prince

Saltwater Sprout: @blood-of-rome

♦️ Widow Wonderland

Natasha Romanoff: @blackwidow-nat-official2

Yelena Belova: @your-fav-russian-assassin / @the-best-black-widow

Victoria Belova: @the-other-belova

Daniel Romanoff: @not-really-a-hero-anymore

Extended Family

[immastealyourfood]

Reasons to believe Kayla isn’t a bot and doesn’t use AI:

bots don’t understand emotions

bots can’t make people feel as loved as she does

bots don’t give good advice

bots aren’t nearly as funny as ber

bots suck, and she dont

bots are automated, and shes a REAL HUMAN BEING

bots are dumb, and can’t come up with the genius ideas that her beautiful brain comes up with

bots dont appreciate the color pink and Barbie as much as she does

Reasons to believe Kayla is a bot/uses AI:

???

there aren’t any?

@proud-owner-of-americas-ass @americas-favourite-fossil @proud-owner-0f-americas-ass @really-steve-rogers @notasimpx2 @romanova-on-the-run @natt-romanoff @under0-0s @tonystark-official @the-ironman @we-love-redwing @samwilson-official @kate-bishop-official @justawhitewolf @itsme-bonkybarnes @clintbarton-thearrowguy @peterparker-official @definitelynot-peterp4rker @whatarethooseshur@hawkeyes-favorite @laura-barton-shield @thatone-midgardian @thebestmerc-1 @former-sokovian @crazyinlovewithmarvel @hufflepuffavenger

Add items to the list and tag people (not Kayla) until it’s reaaaaaaly long and then imma put them all together and drop it in her inbox

[your-darling-gaze]

Family & Family friends:

Parents:

Clint and Laura Barton - @clintbarton-thearrowguy / @laura-barton-shield

Aunties:

Auntie Charlotte - @thebetterbartontwin Auntie Nat - @natt-romanoff / @official-tasha-romanoff / @blackwidow-nat-official2 Auntie Yelena : @the-best-black-widow / @your-fav-russian-assassin / @the-best-black-widow

Siblings:

@hawkeyes-favorite - Lila @cooperbarton-hawkeyeskid - cooper @baby-barton - Nathan @its-nate-the-sharpshot - (Teen) Nathan @luckythebestpizzadog - Lucky @totally-not-kate-bishop - Kate @thebettermaximofftwin - Wanda @jade-lopez-maximoff - Jade @official-pietro-maximoff - Pietro @whosafraidoflittleoldme17 - Aurora @erupti-spider - Cat @your-darling-gaze - Cherry @gwen-stacy-earth616 - Gwen @little-witchy-wanda - Wanda @lostemeraldwidow - Kamilla @ivanova-web-droid - Skye @proud-owner-0f-americas-ass - Steve

Other Heros:

@official-buckybarnes / @itsme-bonkybarnes -Bucky @tonystark-official / @under0-0s- Tony @friday-the-ai - Friday @peterparker-who / @the-real-peterparker - Peter @verygoodlawyer - Matt @imnothulk - Bruce @thir-0dinson / @godofpoptarts - Thor @loki-laufeychild - Loki @that-punk-from-brooklyn / @proud-owner-of-americas-ass / @really-steve-rogers - Steve @capt-carter-mostly-official / @the1-and-only-peggycarter - Peggy @stephenstrange-md-phd - Stephen @officialscottlang - Scott @samwilson-official / @we-love-redwing - Sam

Grand...parents? :

@im-not-a-pirate / @leaderoftheavengers - Fury @trading-cards-owner - Coulson

~

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[damilola-doodles]

📌Project Title: Advanced Customer Support Ticket Prioritization System using NLP Embeddings and Machine Learning.🔴

ai-ml-ds-nlp-support-ticket-prioritization-013 Filename: support_ticket_prioritization.py Timestamp: Mon Jun 02 2025 19:29:50 GMT+0000 (Coordinated Universal Time) Problem Domain:Customer Relationship Management (CRM), IT Service Management (ITSM), Natural Language Processing (NLP), Machine Learning Classification, Operations Optimization. Project Description:This project develops an…