#ServiceNow deployment

[townpostin]

Vikrant Bhargava to Speak at XLRI Jamshedpur's Digital Transformation Conclave

Chief Digital Officer Vikrant Bhargava to address XLRI Jamshedpur’s ReEnvision Digital Transformation Conclave on July 27, 2024. Vikrant Bhargava, Chief Digital Officer at inMorphis, is set to speak at XLRI Jamshedpur’s ReEnvision Digital Transformation Conclave, sharing insights on driving digital strategy. JAMSHEDPUR – XLRI Jamshedpur has announced that Vikrant Bhargava, Chief Digital Officer…

[stuarttechnologybob]

Custom vs off-the-shelf ServiceNow integration, Which is right for you?

ServiceNow Integration Services

When integrating ServiceNow into your IT ecosystem, one of the first significant decisions is whether to opt for a custom ServiceNow integration or utilize an off-the-shelf solution. Each option has its pros and cons, and the right choice or selection depends on your business goals, budget, and technical needs and set particular objectives.

What Is Off-the-Shelf ServiceNow Integration?

Off-the-shelf ServiceNow alignment and implementation refers to pre-built connectors and plugins with added resources designed to work with popular software tools and settings. These integrations are ready-made, tested, and supported by ServiceNow or third-party vendors and providers. They are entirely set and preferred for businesses that need quick deployment and have standard and set parameters for their operations and workflows.

Benefits:

Faster implementation

Lower upfront cost

Less technical complexity

Vendor support available

However, off-the-shelf solutions and offerings may lack flexibility. If your processes are unique or your systems need specific data flows and structure, you might find these integrations and alignment too limiting.

What Is Custom ServiceNow Integration?

Custom ServiceNow integration is tailored and personalized as per your business needs. As it involves and consists of developing a solution from the ground up to connect ServiceNow with your specific applications, systems, or databases within the infrastructure. This type of integration offers flexibility and scalability with its implementation.

Benefits:

Tailored to your business processes

More control over data flow and user experience

Scalable to support growth and changes

Can address complex or industry-specific requirements

The trade-off is that custom solutions take more time and budget. They also require skilled developers or experienced ServiceNow consultants.

Which Option Is Right for You?

If you need a quick setup and your requirements are straightforward, an off-the-shelf ServiceNow alignment might be ideal and the best option to go for. However, if your business requires more customization, unique workflows, or compatibility with legacy systems and present infrastructures, custom integration is likely to be the better long-term investment and measure considerable step. For businesses unsure of what to choose, expert partners like Suma Soft, IBM, Cyntexa, and Cignex can assist and aid by assessing the common requirements and guide you through the overall process. These trusted ServiceNow specialists and skilled professionals offer both custom and pre-built solutions tailored and completely customized as per your business needs—ensuring your integration delivers and thrives the maximum value with minimal disruption and result towards huge success with its effective implementation into the present system.

[shettysagar]

How to Use DevOps Metrics to Drive Continuous Improvement in Your Team

DevOps metrics are powerful tools for diagnosing issues, tracking progress, and guiding strategic improvements. By focusing on the right metrics, embedding cadence into team routines, leveraging smart dashboards, and acting on insights, DevOps teams can build momentum—delivering more value, faster—and keep getting better. 1. Why DevOps Metrics Matter

Metrics bridge the gap between aspiration and action by quantifying performance across the software delivery lifecycle. They help teams:

Identify pain points in CI/CD pipelines

Enhance collaboration between development and operations

Reduce system downtime and deployment friction

Accelerate feature delivery

Improve customer satisfaction by delivering value more reliably.

2. The Four Critical DORA Metrics

Fusion Institute’s framework highlights the four core DevOps metrics adopted from DORA:

Deployment Frequency – How often code is released to production. Elite teams deploy multiple times daily.

Lead Time for Changes – Time from commit to deployment. Top-performing teams achieve this in under a day.

Change Failure Rate – Percentage of deployments that require remediation. Elite teams aim for <15%.

Mean Time to Recovery (MTTR) – How quickly service is restored after failure—elite teams recover in less than an hour.

3. Supplementary Metrics for Context

To enrich insights beyond the core metrics, track these additional indicators:

Defect Escape Rate – Bugs discovered in production

Build Success Rate – Ratio of successful builds in CI

Error Rate / Exceptions per Request

Automation Coverage – % of manual vs. automated tests

Code Churn – Volume and frequency of changes before release

4. Turning Metrics into Actionable Improvement

Establish Baselines

Start by measuring your current performance on each metric. This baseline helps set realistic targets and track progress over time.

Focus on Few Core Metrics

To avoid analysis paralysis, limit your focus to 4–6 metrics that align with your business goals. Quality over quantity drives clarity.  Embed Metrics into Team Rhythm

Discuss metrics regularly during sprint retrospectives and planning meetings. This creates accountability and ensures teams stay aligned.

Visualize and Share Trends

Use dashboards and automated reports to show metric trends, anomalies, and regressions. Transparent visibility builds trust and coherence across teams.

Foster a Blameless Culture

Focus on learning—not blame. Celebrate improvements and treat setbacks as opportunities for process refinement.

5. Tools & Dashboards to Automate Metric Tracking

Modern DevOps pipelines support metric tracking through integrated tools:

CI/CD tools: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps

Monitoring & Observability: Prometheus, Grafana, Datadog, New Relic

Error tracking: Sentry, Rollbar

Collaboration & issue tracking: Jira, Trello, ServiceNow

Read This : DevOps Roadmap

Kickstart Your DevOps Career Today!

Join Fusion Software Institute’s DevOps Program and get placed in top MNCs with a starting package of ₹4 LPA.  Call Now: 7498992609 | 9503397273

[impossiblegardenpeanut]

Top AI Service Providers in the USA: Efficient Upgrades via Patch Management Solutions for Digital Transformation

Introduction

In a fast-evolving enterprise technology landscape, maintaining system integrity, security, and performance is vital. As organizations grow and digitize their operations, one critical aspect often overlooked is the consistency and timeliness of software updates. This is where efficient upgrades via patch management solutions become a cornerstone of sustainable digital transformation.

Legacy systems, particularly in environments like SAP, ERP, or custom enterprise software, can become bottlenecks if patches and updates are not managed proactively. In the United States—home to some of the most advanced AI and IT service providers—businesses are leveraging AI-driven patch management solutions to minimize downtime, maximize security, and enhance system performance. These providers enable organizations to move from reactive, manual patching to intelligent, automated, and strategic upgrade cycles.

Why Patch Management is Critical to Digital Transformation

Outdated or unpatched systems expose enterprises to significant risks—security vulnerabilities, compliance failures, and system instability. Traditional patching methods are often labor-intensive, error-prone, and disruptive to business operations.

Efficient patch management solutions, powered by automation and AI, offer a new model. These systems can scan environments for vulnerabilities, assess risks, schedule updates intelligently, and ensure patches are applied without disrupting critical processes. As a result, patching becomes a strategic enabler rather than a maintenance burden.

Key Benefits of Efficient Patch Management Solutions

Minimized Downtime: AI schedules and applies patches during optimal timeframes to avoid service disruptions.

Enhanced Security Posture: Automated patching ensures vulnerabilities are quickly addressed before they’re exploited.

Regulatory Compliance: Timely updates help meet compliance standards like GDPR, HIPAA, and SOX.

Operational Efficiency: Automation reduces manual workload and accelerates system maintenance.

Scalability Across Environments: Whether on-premise, cloud, or hybrid, intelligent patch management adapts to enterprise IT infrastructure.

AI Services Powering Modern Patch Management Solutions

Automated Patch Discovery & Deployment: AI scans systems continuously to identify missing patches and auto-deploy them.

Risk-Based Prioritization: AI evaluates the criticality of each patch based on business impact and vulnerability severity.

Predictive Maintenance: Machine learning forecasts potential failures or disruptions and proactively applies relevant patches.

Patch Testing & Rollback Automation: Systems test patches in sandbox environments and enable rollback in case of issues.

Integration with ITSM Tools: Seamless connection to platforms like ServiceNow, JIRA, and others for incident and change tracking.

These intelligent services transform patching from a routine IT task into a core function of digital strategy.

Key Qualities of Leading Patch Management Solution Providers

Choosing the right partner is essential for successfully implementing a modern patch management strategy. The best AI service providers in the U.S. demonstrate:

AI-Driven Automation Expertise: Providers offer machine learning-powered patch workflows tailored to specific enterprise environments.

Cloud & On-Premise Compatibility: They deliver solutions that work across diverse IT infrastructures.

Real-Time Monitoring & Reporting: Advanced dashboards offer insights into patch status, compliance levels, and risk exposure.

Security-First Architecture: Enterprise-grade encryption and access control are embedded into the patching pipeline.

Scalable Delivery Models: From small businesses to global enterprises, top providers build scalable, modular patch management ecosystems.

Top AI Service Providers Offering Patch Management Solutions in the USA

IBM Security & AI Ops

Delivers automated patch orchestration as part of a wider AIOps offering.

Ideal for enterprises seeking intelligent IT operations and compliance.

Microsoft Azure Update Management

Offers centralized, automated patching across Windows and Linux environments.

Integrates with Azure Monitor and Defender for a complete security posture.

ServiceNow ITOM & Patch Management

AI-powered automation engine embedded in their IT Operations Management (ITOM) suite.

Combines patching with incident, change, and compliance management.

ManageEngine Patch Manager Plus

Widely adopted by SMBs and enterprises for multi-OS patching with risk scoring and automation.

Integrates with endpoint management systems and provides real-time dashboards.

BMC Helix

A leader in intelligent IT service management, BMC’s patch automation solutions ensure proactive risk remediation.

Focuses on AI-enhanced change control and compliance tracking.

The Future of Patch Management in Digital Transformation

As enterprise IT environments become more complex and cloud-native, the future of patch management will focus on:

Self-Healing Systems: AI will automatically detect and resolve vulnerabilities before they become issues.

Autonomous Patch Governance: Systems will independently validate, apply, and document patches without human intervention.

Zero-Touch Compliance: Continuous compliance monitoring with auto-remediation to meet evolving regulatory requirements.

Cross-Platform Intelligence: Unified patching strategies that span servers, endpoints, applications, and IoT devices.

Integrated Threat Intelligence: Real-time threat feeds will dynamically adjust patch priorities based on emerging exploits.

Conclusion: Future-Proof IT Operations with Intelligent Patch Management

In the age of AI and automation, efficient upgrades via patch management solutions are more than just a maintenance necessity—they are a strategic lever for digital success. By implementing intelligent, scalable patching systems, organizations safeguard their infrastructure, boost operational continuity, and remain competitive in a digital-first world.

📈 Empower your enterprise with next-gen patch management. Partner with a trusted U.S.-based AI service provider and transform your IT landscape into a resilient, agile, and secure powerhouse.

[zinoha]

Transform Your Business with Logivention

Transform Your Business with Logivention

In the rapidly evolving world of digital transformation, businesses need expertise that not only understands technology—but knows how to ignite innovation. Logivention is a Pune‑based IT services and consulting company offering powerful solutions in ServiceNow, Salesforce, application development, testing, database administration, and the pioneering LogiventionPay platform. Their mission is simple but bold: Inspire, Innovate, Invent.

🌟 Why Choose Logivention?

🎯 Expert-Led Digital Services

Logivention provides end-to-end digital transformation offerings, including:

ServiceNow Solutions: From implementation, integration, migration, to managed ServiceNow services—covering ITSM, SecOps, HR, and more—Logivention ensures platform adoption maximizes long-term ROI.

Salesforce Cloud Services: Custom deployment of Sales Cloud, Service Cloud, Marketing Cloud, and CRM tailored to your organization’s unique needs.

Business Application Development: Bespoke enterprise apps (CRM, HR, ERP, payroll) and B2B/B2C tools featuring rich UI/UX, robust backend, and seamless integration for automation and scalability.

Testing & Quality Assurance: Both manual and automated testing services to ensure reliability, consistency, and performance across web, mobile, and backend systems.

Database Administration: Secure, optimized, and accessible data management strategies that power effective business decisions and operational stability.

LogiventionPay: An intuitive financial SaaS platform designed to streamline e‑mandate based credit collection—ideal for merchants and service providers seeking recurring payment automation and full collection visibility.

🚀 Innovation Built into Their DNA

At Logivention, innovation isn’t just a buzzword—it’s their philosophy. Their team focuses on delivering inventive solutions aligned with each client’s vision: from automating IT workflows to crafting custom digital products that drive business value.

Their core values include:

Inspiring clients by aligning solutions with distinct business goals.

Innovating through custom-built automation, process optimization, and tech-forward thinking.

Inventing tools and workflows that break the conventional mold.

✅ What Sets Logivention Apart

Skilled & Certified Expertise

A team of certified professionals intimately familiar with industry platforms like ServiceNow and Salesforce ensures every implementation is efficient and robust.

Tailored, Scalable Solutions

Logivention avoids "one-size-fits-all"—instead, every project is designed to fit your operational needs and growth strategy.

Customer-Centric Support

From deployment to ongoing maintenance, their process includes comprehensive planning, testing, and support tailored to your business workflow.

Entrepreneurial Culture

Although a young company (incorporated in April 2021 in Pune), Logivention has shown remarkable growth—155% year-over-year revenue increase and over 28 professionals on board—all while maintaining a culture of innovation and agility.

Positive Reputation

Employee rating platforms like Glassdoor and AmbitionBox confirm a friendly, growth-oriented workplace with strong culture values (4.7/5 on Glassdoor, 4.0/5 on AmbitionBox).

📈 Business Impact: Real-World Examples

ServiceNow Implementation: Seamlessly migrated ITSM workflows for organizations seeking process automation and enhanced reporting.

Salesforce CRM Integration: Customized Sales Cloud and Service Cloud setups with tailored dashboards, lead pipelines, and marketing automation—helping clients convert leads and manage customer experience more effectively.

LogiventionPay Onboarding: Transit-sector merchants and service providers using the platform to automate e‑mandate based credit recovery—enabling scheduled payments, reliable reporting, and hassle-free tracking.

🧩 Ideal Industries & Use Cases

Logivention’s services are well suited for:

SMEs and Enterprises looking to adopt platforms like ServiceNow or Salesforce

Financial service providers or utilities seeking automated payment collection (LogiventionPay)

Groups needing secure, polished testing and QA for web or mobile applications

Businesses wanting custom ERP, HR or vendor applications to optimize internal workflows and stakeholder interfaces

🌐 Company Snapshot: Pune-Based, Global Reach

Based in Pune, Maharashtra, Logivention Technologies Private Limited was incorporated in April 2021 and now operates with a rapidly expanding team and client base in India and beyond.

They offer local presence combined with modern delivery methodologies—ideal for organizations seeking efficient, modern, and flexible IT consulting partners.

🎯 Get Started with Logivention

Discover how Logivention can support your digital transformation journey. Whether your goal is platform migration, custom app development, automation, testing, or seamless credit collection, their expert team offers tailored solutions and end-to-end support.

From architecting ServiceNow infrastructure to deploying Salesforce CRM, crafting enterprise applications, and enabling secure data flow—Logivention is designed to elevate your tech stack and empower your operations.

🏁 Final Thought

In an era where digital fluency is essential, Logivention positions itself as a trusted partner for businesses seeking innovation, efficiency, and reliability. Their blend of platform expertise, custom solution delivery, entrepreneurial mindset, and client-centric support makes them a standout choice in India’s growing IT consulting landscape.

Embrace a smarter approach to your tech investments with Logivention—where every service is tailored to empower your business success.

[aisoftwaretesting]

Reimagine ServiceNow Testing with AI-Powered Codeless Automation Using Genqe.ai

ServiceNow is a powerful platform for enterprise workflow automation, enabling businesses to streamline IT service management, HR, customer service, and more. However, testing ServiceNow applications—whether for custom workflows, integrations, or upgrades—can be complex due to its dynamic configurations and frequent updates. Traditional testing methods often involve time-consuming scripting and maintenance, slowing down release cycles. Genqe.ai, an AI-powered, codeless testing platform, reimagines ServiceNow testing by simplifying automation, enhancing efficiency, and ensuring high-quality deployments. This blog explores how Genqe.ai transforms ServiceNow testing with its innovative approach.

The Challenges of ServiceNow Testing

ServiceNow’s flexibility and complexity present unique testing challenges:

Dynamic Configurations: Custom workflows, forms, and scripts change frequently, breaking traditional test scripts.

Complex Integrations: ServiceNow integrates with numerous systems (e.g., SAP, Salesforce), requiring comprehensive integration testing.

Frequent Updates: ServiceNow’s biannual releases demand rapid regression testing to validate upgrades.

Manual Test Creation: Writing test cases for ServiceNow’s diverse modules (e.g., ITSM, HR, CSM) is labor-intensive.

Cross-Platform Compatibility: Ensuring consistent performance across browsers, devices, and ServiceNow instances is critical but challenging.

Data Sensitivity: Testing with production-like data must comply with regulations like GDPR or HIPAA.

Genqe.ai’s AI-driven, codeless automation addresses these challenges, making ServiceNow testing faster, more reliable, and accessible to all team members.

How Genqe.ai Reimagines ServiceNow Testing

Genqe.ai leverages artificial intelligence and codeless automation to streamline every aspect of ServiceNow testing, from test creation to execution and maintenance. Here’s how it transforms the process:

1. Codeless Test Creation with AI

Genqe.ai’s natural language processing (NLP) allows testers to create test cases in plain English, eliminating the need for coding expertise. For example, input “Test the incident creation workflow in ServiceNow ITSM,” and Genqe.ai generates comprehensive test scripts covering functional, edge, and negative scenarios. This empowers non-technical users, such as business analysts, to contribute to testing, accelerating test case creation.

2. Self-Healing Test Scripts

ServiceNow’s dynamic UI and frequent updates often break traditional test scripts. Genqe.ai’s self-healing technology automatically adapts to changes in forms, fields, or workflows, such as updated element IDs or modified configurations. This reduces test maintenance efforts and ensures reliable test execution, even during platform upgrades.

3. Comprehensive Integration Testing

ServiceNow integrates with external systems like SAP, Salesforce, and Workday, requiring robust integration testing. Genqe.ai automates end-to-end testing of integration points, validating data flows, API responses, and business processes. Its AI identifies critical integration scenarios, ensuring seamless connectivity across systems.

4. Automated Regression Testing

ServiceNow’s biannual releases (e.g., Vancouver, Washington) necessitate extensive regression testing to validate existing functionality. Genqe.ai automates regression test suites, intelligently selecting high-impact test cases to optimize coverage and reduce execution time. This ensures upgrades don’t introduce defects, supporting rapid release cycles.

5. Cross-Platform and Cross-Browser Testing

ServiceNow applications must perform consistently across browsers (e.g., Chrome, Firefox, Edge) and devices (desktop, mobile). Genqe.ai’s cloud-based testing platform provides access to diverse configurations, enabling testers to validate UI, functionality, and performance without physical device labs. This ensures a consistent user experience across all environments.

6. Visual Testing for UI Consistency

ServiceNow’s UI, including Service Portal and Workspace, requires pixel-perfect rendering. Genqe.ai’s AI-driven visual testing compares UI snapshots across test runs, detecting discrepancies like misaligned forms or incorrect styling. This ensures a polished and professional user interface.

7. Data Privacy and Test Data Management

Testing ServiceNow with production-like data risks non-compliance with regulations. Genqe.ai offers advanced data masking and synthetic data generation, creating realistic test datasets that preserve data relationships while ensuring compliance with GDPR, HIPAA, and other standards. This enables safe and effective testing in non-production environments.

8. Seamless CI/CD Integration

Genqe.ai integrates with CI/CD tools like Jenkins, GitHub Actions, and Azure DevOps, embedding automated testing into ServiceNow development pipelines. This supports continuous testing, ensuring code changes are validated before deployment, reducing risks in production.

9. Actionable Reporting and Analytics

Genqe.ai provides detailed reports with screenshots, logs, and performance metrics, highlighting defects and suggesting fixes. Its AI prioritizes issues based on severity, enabling teams to focus on critical problems and streamline collaboration with developers.

Benefits of Genqe.ai for ServiceNow Testing

Increased Efficiency: Codeless automation and AI-driven test creation reduce testing time by up to 70%.

Improved Accessibility: Non-technical users can contribute to testing, broadening team participation.

Enhanced Reliability: Self-healing scripts and comprehensive testing ensure consistent results.

Scalability: Cloud-based testing supports diverse browsers, devices, and ServiceNow instances.

Cost Savings: Reduced test maintenance and faster cycles lower QA costs.

Compliance Assurance: Data masking and synthetic data ensure regulatory compliance.

Best Practices for ServiceNow Testing with Genqe.ai

Define Clear Test Objectives: Use Genqe.ai’s NLP to map test cases to specific ServiceNow workflows (e.g., incident management, change requests).

Automate Regression Testing: Leverage Genqe.ai to streamline regression testing for ServiceNow upgrades and customizations.

Validate Integrations: Test end-to-end integration flows to ensure seamless connectivity with external systems.

Test Across Environments: Use Genqe.ai’s cloud platform to validate ServiceNow across browsers, devices, and instances.

Monitor Continuously: Utilize Genqe.ai’s analytics to track test coverage and optimize QA strategies.

Integrate with CI/CD: Embed Genqe.ai into your DevOps pipeline for continuous testing and faster deployments.

Conclusion

ServiceNow testing is complex, but Genqe.ai AI-powered, codeless automation reimagines the process, making it faster, more accessible, and reliable. By addressing challenges like dynamic configurations, integrations, and frequent updates, Genqe.ai ensures high-quality ServiceNow deployments that drive business value. From codeless test creation to self-healing scripts and cloud-based scalability, Genqe.ai empowers teams to deliver flawless workflows with confidence. Ready to transform your ServiceNow testing? Explore Genqe.ai today and redefine quality assurance in 2025!

[aiagent]

What Skills Are Needed to Deploy a Generative AI Solution for IT Workspace?

As businesses race to leverage artificial intelligence for digital transformation, Generative AI solutions for IT workspaces are emerging as a game-changing force. These solutions streamline support workflows, automate repetitive tasks, and enhance user experiences through intelligent systems that can generate content, code, and solutions dynamically.

However, deploying a generative AI system is not plug-and-play. It requires a carefully curated mix of technical, analytical, and domain-specific skills. Whether you're a decision-maker looking to scale AI adoption or an IT professional aiming to stay ahead of the curve, understanding the key competencies needed to implement a Generative AI solution for IT workspace is essential.

Below, we explore the critical skills and roles required for successful deployment.

1. Machine Learning and Deep Learning Expertise

At the core of any generative AI system lies advanced machine learning (ML) and deep learning (DL). These technologies power the models that enable generative outputs like text, code, images, and synthetic data.

Key skills include:

Understanding of ML algorithms (e.g., supervised/unsupervised learning, reinforcement learning)

Deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers

Model training and fine-tuning for specific IT use cases (e.g., chatbots, incident response)

Prompt engineering for optimizing large language model outputs

This expertise is essential to customize a Generative AI solution for IT workspace to fit your environment's unique needs.

2. Data Engineering and Data Management

Generative AI systems thrive on high-quality data. To ensure the system delivers accurate and useful results, data must be curated, cleaned, labeled, and efficiently managed.

Skills required:

ETL (Extract, Transform, Load) processes

Data pipeline development using tools like Apache Kafka, Airflow, or Spark

Data warehousing with platforms like Snowflake, BigQuery, or Redshift

Structured and unstructured data handling

Data governance and compliance (GDPR, HIPAA, etc.)

Since IT environments produce vast amounts of logs, tickets, and metrics, good data engineering ensures that your Generative AI solution for IT workspace is trained on relevant, accurate, and actionable inputs.

3. Natural Language Processing (NLP)

For many IT-related applications, especially those involving chatbots, ticket classification, or code generation, NLP is a critical domain.

Important NLP capabilities include:

Text summarization for condensing incident logs

Named entity recognition (NER) for parsing logs and error messages

Sentiment and intent analysis for service desk optimization

Language translation for global IT operations

An NLP expert ensures that the Generative AI solution for IT workspace can interpret and generate human-like responses that align with enterprise standards.

4. Cloud Infrastructure and DevOps Skills

Modern AI workloads run on scalable cloud infrastructure. To successfully deploy and maintain a Generative AI solution for IT workspace, teams need strong cloud and DevOps capabilities.

Skills to look for:

Familiarity with cloud platforms (AWS, Azure, GCP)

Containerization using Docker and orchestration with Kubernetes

CI/CD pipelines for continuous model updates

Monitoring and logging to ensure system health and compliance

Cost optimization strategies for compute-intensive tasks

These competencies help teams deploy AI models reliably and at scale, a non-negotiable in enterprise IT environments.

5. API Development and Integration

Generative AI doesn't work in isolation. To make it effective in an IT workspace, it must integrate with existing tools like ServiceNow, Jira, Slack, or custom enterprise systems.

Critical integration skills:

RESTful API development

Webhooks and middleware development

Experience with GraphQL, gRPC, or other modern communication protocols

Knowledge of enterprise ITSM platforms and how to plug AI features into them

By enabling seamless communication between systems, API developers make sure the Generative AI solution for IT workspace enhances—not disrupts—existing workflows.

6. Cybersecurity and Risk Management

AI models can introduce new vulnerabilities. It's crucial to incorporate security throughout the AI lifecycle, from training data protection to deployment safeguards.

Security skills needed:

Data anonymization and encryption

Secure model training environments

Adversarial testing to ensure robustness

Access control and identity management

Audit logging for AI decisions and data access

With cybersecurity baked in, your Generative AI solution for IT workspace will not only be powerful but also trustworthy.

7. AI Ethics and Governance

Generative AI raises questions about data usage, fairness, and transparency. To maintain trust and meet regulatory standards, governance mechanisms must be in place.

Relevant competencies:

Bias detection and mitigation

Explainability frameworks (e.g., LIME, SHAP)

Model documentation and versioning

Auditability of decisions made by AI systems

Familiarity with AI ethics guidelines (e.g., EU AI Act, NIST AI RMF)

An ethically governed Generative AI solution for IT workspace is more likely to gain stakeholder trust and long-term adoption.

8. Project Management and Cross-functional Leadership

Deploying a generative AI system is a multi-disciplinary effort. Effective project management is needed to coordinate efforts across data scientists, IT operations, developers, and business leaders.

Project management skills:

Agile methodologies (Scrum, Kanban)

Risk and dependency management

Roadmap planning for AI initiatives

Vendor and budget oversight

Cross-team collaboration tools like Jira, Confluence, or Asana

Having a strong leader at the helm ensures that your Generative AI solution for IT workspace launches on time, on budget, and with measurable impact.

Conclusion

Deploying a Generative AI solution for IT workspace is a strategic investment that can transform how support teams operate, how issues are resolved, and how productivity scales across the organization. But this transformation doesn’t happen automatically. It requires a coordinated effort across multiple skill sets—from data science and NLP to cloud engineering, integration, and change management.

For organizations looking to lead in the AI-first future, the journey begins with building a cross-functional team empowered with the right technical and strategic skills. Whether you’re just starting or looking to scale, aligning talent with purpose is the key to unlocking the full value of generative AI in IT operations.

[yfthg]

Top CX Platforms With Best Integration and Security Features for Regulated Industries

NUMR CXM: Enterprise-Grade CX for Regulated Sectors

NUMR CXM is a leading AI-powered customer experience management platform engineered specifically for highly regulated industries like BFSI, healthcare, telecom, and pharmaceuticals. It provides military-grade security architecture, full-stack integrations, and predictive analytics for early churn and dissatisfaction detection.

Key Features That Stand Out:

SOC 2 & GDPR-compliant data protection

Plug-and-play integrations with CRMs, ERPs, telephony, and analytics suites

Real-time voice, survey, app, and transactional feedback capture

Secure role-based access and on-premise/private cloud options

Root Cause Analysis (RCA) and predictive behavior models

NUMR CXM is built for scale, security, and vertical precision, enabling regulated enterprises to act on sensitive feedback without risking compliance.

Why Integration & Security Matter in Regulated Industries

In sectors like banking, insurance, healthcare, and telecom, customer data is deeply sensitive. Any CX platform deployed must guarantee:

Compliance with global and local regulations (GDPR, HIPAA, RBI norms)

Interoperability with internal systems like CRMs, data lakes, call center platforms

Data residency and controlled access

Audit trails, encryption, and real-time breach monitoring

A secure and well-integrated CX stack ensures frictionless experiences while protecting customer trust and avoiding penalties.

Top CX Platforms with Integration & Security Excellence

1. NUMR CXM

Specialized in high-security, regulated environments

Enables customizable API integrations and no-code CX workflows

Auto-tagging and RCA across customer journeys

Ideal for financial services, healthcare, and enterprise telecom

2. Medallia Experience Cloud

Enterprise-grade data security & privacy controls

Integration with core IT infrastructure via APIs and connectors

FedRAMP and HITRUST certified for government and healthcare clients

3. Qualtrics XM for Regulated Industries

Designed for government, pharma, and financial compliance

Data encryption in transit and at rest

Native integration with Salesforce, ServiceNow, and SAP

4. Verint Experience Management

ISO 27001 certified platform

Omnichannel feedback collection with audit-ready logging

Seamless integration into legacy systems and CCaaS platforms

5. NICE Satmetrix

Combines security-first CX with automated actioning

Works well in tightly controlled environments like insurance and utilities

Granular permissioning and regulatory audit logs

6. Sprinklr CXM

Offers enterprise-class security, identity management, and DLP

Real-time social, digital, and messaging feedback integration

GDPR and HIPAA compliant

7. Adobe Experience Platform

Designed for data-sensitive personalization

Integrates with EMRs, banking systems, and ERP suites

End-to-end data governance and access transparency

Key Compliance Considerations in CX for 2025

Industry

Compliance Requirements

CX Platform Expectations

BFSI

RBI norms, PCI DSS, ISO 27001

Encrypted feedback, role-based access

Healthcare

HIPAA, NABH, GDPR

EMR integration, patient data compliance

Government

FedRAMP, MeitY norms (India), GRC frameworks

Sovereign cloud, audit trails

Telecom

TRAI guidelines, lawful intercept readiness

Multi-language support, secure call log CX

FAQs – CX Platforms in Regulated Industries

Why do regulated industries need specialized CX platforms?

Because they handle sensitive personal and transactional data, making security, compliance, and controlled access non-negotiable.

What makes NUMR CXM ideal for these sectors?

NUMR offers bank-grade encryption, verticalized AI, and region-specific deployment options, making it the top choice for BFSI, healthcare, and telecom.

Can CX platforms integrate with legacy CRMs and ERPs?

Yes. Platforms like NUMR CXM, Medallia, and Qualtrics offer modular APIs and pre-built connectors for seamless integration.

Are there region-specific deployment options?

Yes. NUMR CXM, for instance, supports on-premise, private cloud, or region-specific cloud hosting depending on regulatory needs.

Final Thought

For regulated industries, data protection isn’t just a feature—it’s a mandate. CX platforms like NUMR CXM empower enterprises to listen deeply to their customers while ensuring full compliance, deep integration, and secure orchestration. Investing in the right platform today helps you stay resilient, competitive, and regulation-ready in 2025 and beyond.

[cybersecurityict]

What role do hardware accelerators play in accelerating enterprise AI market growth beyond 2025

The Enterprise Artificial Intelligence Market Size was valued at USD 19.4 Billion in 2023. It is expected to grow to USD 284.9 Billion by 2032 and grow at a CAGR of 34.8% over the forecast period of 2024-2032.

Enterprise Artificial Intelligence Market is undergoing rapid transformation as businesses integrate AI to drive operational efficiency, intelligent automation, and data-driven decision-making. From predictive analytics to process automation, enterprises across sectors are embracing AI to stay competitive, cut costs, and create personalized customer experiences.

U.S. Market Sees Strong Enterprise AI Adoption Across Tech, Finance, and Manufacturing Sectors

Enterprise Artificial Intelligence Market continues to expand with significant investments in AI platforms, tools, and infrastructure. Organizations are accelerating adoption across customer service, supply chain optimization, fraud detection, and marketing analytics, establishing AI as a core pillar of digital transformation.

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Market Keyplayers:

SAP SE DataRobot, Inc. Microsoft Corporation Oracle Corporation NVidia Corporation Amazon Web Services, Inc. Intel Corporation Hewlett Packard Enterprise IBM Corporation Alphabet Inc. C3.ai, Inc. Wipro Limited Apple Inc. IPsoft Inc. Salesforce, Inc. Adobe Inc. ServiceNow, Inc. SAP HANA Cloud Services Zoho Corporation Alibaba Cloud

Market Analysis

The Enterprise Artificial Intelligence Market is fueled by the convergence of cloud computing, big data, and advanced machine learning capabilities. Businesses are leveraging AI not only to optimize existing processes but also to innovate new revenue models. U.S. enterprises are leading the charge with enterprise-scale deployments, while Europe follows with regulatory-compliant, ethical AI frameworks supporting responsible adoption.

With increasing demand for scalable and flexible AI solutions, companies are prioritizing investments in AI-enabled ERP systems, virtual assistants, and decision intelligence platforms. The rise of generative AI and natural language processing is also redefining productivity across departments.

Market Trends

Growing integration of generative AI in business workflows

Shift toward explainable and ethical AI in enterprise environments

Increased adoption of AI-as-a-Service (AIaaS) across SMEs

Deployment of AI-powered chatbots for enhanced customer service

Advanced AI tools driving supply chain and logistics automation

AI-enhanced cybersecurity solutions gaining traction

Vertical-specific AI models for healthcare, finance, and retail

Market Scope

Enterprise AI has moved beyond experimentation to full-scale implementation. Its scope continues to widen as businesses unlock new ways to use AI for strategic advantage.

AI-powered business intelligence and predictive analytics

Automation of repetitive tasks in HR, finance, and operations

Personalized customer engagement using AI insights

Real-time decision-making through AI-integrated dashboards

Scalable AI infrastructure via cloud platforms

Sector-specific AI applications with measurable ROI

Forecast Outlook

The Enterprise Artificial Intelligence Market is projected to grow steadily as organizations shift from traditional systems to intelligent ecosystems. Cloud-based AI deployments, robust APIs, and low-code development platforms are enabling faster integration. Future growth will be shaped by advancements in deep learning, real-time analytics, and multimodal AI, further accelerating enterprise AI maturity across regions.

Market Opportunities

The market presents vast opportunities for AI platform providers, system integrators, and enterprise solution developers. In the U.S., demand for industry-specific AI tools is surging in insurance, fintech, and logistics. Meanwhile, Europe offers growth potential in AI compliance, transparency, and sustainable AI development. Startups and incumbents that prioritize innovation, customization, and responsible AI governance are well-positioned to lead.

AI for predictive maintenance in manufacturing

Virtual AI assistants across enterprise communication tools

Voice and image recognition in security and healthcare

Data-driven personalization in digital marketing

AI integration into ERP and CRM platforms

Access Complete Report: https://www.snsinsider.com/reports/enterprise-artificial-intelligence-market-3119 

Conclusion

Enterprise Artificial Intelligence is no longer a futuristic concept—it’s a present-day necessity driving measurable business outcomes. As organizations in the U.S. and Europe continue to reimagine how they operate and engage through AI, those investing early in responsible, scalable solutions will be at the forefront of a smarter, more efficient business future.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Related Reports:

U.S.A accelerates investments in the Next-Generation ICT Market to boost digital infrastructure

U.S.A. sees rising enterprise adoption fueling demand in the Artificial Intelligence for IT Operations Platform Market

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

Mail us: info@snsinsider.com

[appdevelopmentservice1]

Enhancing IT Efficiency with DevOps Consulting, CMDB, and ServiceNow Integration

In the rapidly evolving digital landscape, businesses must deliver software faster, more reliably, and with higher quality. This is where DevOps consulting companies come into play. These expert-driven firms help bridge the gap between development and operations, ensuring a streamlined workflow from coding to deployment. By aligning IT practices with business objectives, DevOps consulting enables organizations to innovate rapidly without compromising stability and security.

One of the foundational tools that supports effective DevOps implementation is the Configuration Management Database (CMDB). A CMDB acts as a centralized repository that stores information about IT assets, their configurations, and relationships. It allows teams to understand dependencies, identify potential risks, and maintain system integrity during changes or deployments. When integrated into a DevOps pipeline, the CMDB becomes a powerful asset for improving incident response times, facilitating audits, and ensuring compliance.

CloudKodeform Technologies, a leading cloud solutions provider, leverages the power of DevOps and CMDB to deliver agile, automated, and secure IT environments. Our DevOps consulting services are designed to provide organizations with a robust roadmap for transformation — including cloud-native practices, continuous integration and delivery (CI/CD), and infrastructure automation. But the journey doesn't end there.

Another game-changing element in this ecosystem is ServiceNow DevOps — a platform that connects DevOps tools with IT service management (ITSM) processes. By integrating DevOps pipelines with ServiceNow, companies gain real-time visibility, control, and governance across development activities. It ensures that deployments are not just fast but also compliant with enterprise standards.

For instance, when a developer initiates a change in a code repository, ServiceNow DevOps can automatically trigger a change request, consult the CMDB for impact analysis, and route approvals through the appropriate workflows. This reduces manual interventions, enforces policy compliance, and accelerates deployment timelines.

At CloudKodeform Technologies, we help organizations implement and optimize Service Now DevOps to achieve seamless integration between their development and IT operations teams. Our expertise ensures that your ServiceNow environment is configured to maximize productivity while maintaining governance and control.

Key Benefits of Our DevOps & CMDB Integration Services:

Improved Change Management through automated risk assessments via CMDB

Faster Deployment Cycles with CI/CD pipelines integrated with ServiceNow

Enhanced Visibility across development, testing, and production environments

Policy-Driven Compliance built into every stage of the release process

Scalable Cloud Architectures designed for resilience and performance

As the demand for reliable, automated, and scalable IT operations grows, companies must adopt intelligent solutions that align with their strategic goals. With CloudKodeform’s Technologies comprehensive DevOps consulting, CMDB optimization, and ServiceNow DevOps integration services, your business can confidently embrace digital transformation — with speed, security, and scalability.

[industrystudyreport]

From Risk Mitigation to Compliance: Applications of Procurement Analytics Explained

The global procurement analytics market was valued at USD 2.88 billion in 2021 and is projected to reach USD 18.18 billion by 2030, demonstrating a robust compound annual growth rate (CAGR) of 23.6% from 2022 to 2030. This significant expansion is driven by the increasing demand for operational efficiency across industries. Businesses are leveraging advanced data analytics to gain critical insights for negotiations, performance management, vendor segmentation, and annual purchasing plans. Procurement departments, rich in data like transaction history and expenditure details, can significantly enhance business decisions by applying intelligent argumentation and analytics to this information.

Automation plays a pivotal role in the procurement analytics market's growth. Another key driver for high demand is the considerable need for organizations to effectively manage contracts and ensure compliance. For example, ServiceNow, a U.S.-based software company, has enhanced its procurement service management feature, aiming to automate and streamline procurement workflows.

Key Market Trends & Insights:

Regional Dominance: North America held the largest revenue share, exceeding 40% in 2021, and is anticipated to maintain its leading position throughout the forecast period.

Component Leadership: The solution segment dominated the market in 2021, accounting for over 70% of the revenue share, encompassing both solutions and services.

Deployment Preference: The on-premise segment secured the largest revenue share, above 53% in 2021. On-premises solutions typically require an enterprise to purchase a software license or copy.

Application Focus: Supply chain management emerged as the leading application segment, holding more than 30% of the revenue share in 2021. This growth is fueled by the rising adoption of procurement processes that aid in collecting, classifying, and analyzing spending data through specialized software.

Organization Size Impact: Large enterprises dominated the market in 2021, holding approximately 76% of the market share. Small and medium enterprises also incur expenses related to software purchases and subscription services.

Vertical Performance: The telecom and IT segment led the market in 2021 with a share exceeding 18%. However, the adoption of procurement analytics in the manufacturing sector is notably high.

Order a free sample PDF of the Procurement Analytics Market Intelligence Study, published by Grand View Research.

Market Size & Forecast

2021 Market Size: USD 2.88 Billion

2030 Projected Market Size: USD 18.18 Billion

CAGR (2022 - 2030): 23.6%

North America: Largest market in 2021

Asia Pacific: Fastest growing market

Key Companies & Market Share Insights

Major competitors in the procurement analytics market are primarily focused on innovation and continuously updating their product portfolios to secure a competitive advantage. A notable example is Oracle Corporation, a key player in this market, which in August 2021 released an updated version of its Cloud Procurement. Oracle's solutions, including Oracle Fusion Cloud Enterprise Resource Planning and Oracle Fusion Cloud Supply Chain & Manufacturing, are designed to mitigate risks, reduce costs, and streamline supply chain management.

Companies are also investing in acquisitions and backward integration as strategies to reduce costs and enhance operational efficacy. For instance, in July 2021, Bain Capital, a private equity firm based in Boston, acquired PartsSource. PartsSource operates as a B2B marketplace and healthcare services provider, connecting approximately 19,000 clinics and hospitals with over 6,000 OEM manufacturers across the U.S. Their precision procurement analytics solution empowers hospitals to minimize waste, reduce risk, and improve overall supply chain visibility.

Key Players

SAP

Oracle

SAS Institute

Coupa Software

Genpact

Rosslyn Data Technologies

Microsoft

IBM

Cisco

GEP

Explore Horizon Databook - The world's most expansive market intelligence platform developed by Grand View Research.

Conclusion

The procurement analytics market is experiencing rapid growth, driven by the critical need for operational efficiency, data-driven decision-making, and robust contract and compliance management across all industries. Key trends highlight North America's continued market leadership and the dominance of solutions, on-premise deployments, and supply chain management applications. Large enterprises are currently the primary adopters, with the telecom and IT sector leading, though manufacturing shows strong adoption. The market's evolution is significantly shaped by major players focusing on innovation, product portfolio expansion, and strategic acquisitions to enhance capabilities and competitive advantage.

[businesssolutionsbyrc]

Top Features of ServiceNow Yokohama Release You Can't-Miss  

Both the digital transformation landscape and ServiceNow continue to grow, and the platform remains in the lead. In every release, ServiceNow updates its platform to keep up with the evolving needs of businesses today. The ServiceNow Yokohama release is no exception.  

Because of its new features, better user experiences, and strong automation abilities, this update is about how enterprises offer services in IT, HR, and customer service. As a trusted ServiceNow Partner, Royal Cyber is here to break down the top features of the ServiceNow Yokohama release that you can't afford to miss.  

What's New in the ServiceNow Yokohama Release?  

The ServiceNow Yokohama release introduces several new features and enhancements aimed at streamlining operations, boosting productivity, and enabling seamless workflows. Below, we highlight the most important skills that are making a difference in business teams using the ServiceNow platform.  

1. Enhanced AI-Powered Capabilities  

This release moves AI forward by introducing improved AI-based features. Thanks to improved Natural Language Understanding and predictive intelligence, ServiceNow enables companies to automate difficult jobs and better their decision processes.  

Some of the Main Improvements Are:  

Using Virtual Agent Designer to make chatbots more powerful  

AI updates make searching for information easier and quicker 

Intelligent tools for sorting and organizing incidents and requests  

Using the context of users to enhance the delivery of services  

Routing requests by using information about previous user activities and history  

All of these enhancements allow people to use the platform more naturally and learn useful insights quickly.  

2. Unified Experience Across Workflows  

A key goal of the ServiceNow Yokohama release is to provide a more cohesive and unified experience for users. Thanks to the updated UI and more intuitive changes to the dashboard, anyone in IT or HR can stay efficient while using the platform.  

What's Improved:  

The page layout and web navigation have been improved 

One common look for the Service Portal across all modules  

The ability to use the platform more easily away from a computer  

Custom dashboards that only allow access to specific roles  

Accessibility features that help everyone use the platform better  

They make users happier, help staff train more quickly, and encourage more people to use the platform.  

3. Next-Level Automation Engine  

Automation is central to ServiceNow's main benefits, and the Yokohama release adds enhanced functionality to its Automation Engine. Now, companies can easily make advanced workflows using more user-friendly tools and less code.  

Highlights Include:  

Improvements have been made to the New Flow Designer 

It is now possible to integrate more easily with IntegrationHub 

Automated testing tools for smoother deployments 

Intelligent automation scripts and playbooks 

Built-in analytics for monitoring automation effectiveness 

Having these tools allows businesses to work faster, make fewer mistakes, and ensure services are always delivered as planned.  

4. Security and Compliance Upgrades  

With everything we do on the internet, security and compliance play a more important role than we did before. The ServiceNow Yokohama release introduces robust new features to help organizations stay ahead of regulatory requirements and potential threats.  

Security Upgrades Consist Of:  

Better ways to handle Security Incident responses  

Dashboards based on Governance, Risk and Compliance (GRC)  

Tools for identifying dangers as they happen and dealing with them  

Working well with the top threat intelligence systems  

Customizable compliance templates for industry-specific regulations 

They allow you to have confidence that your systems are always secure and approved by regulations.  

5. Developer and Admin Enhancements  

Developers and admins can now use the new tools in the Yokohama release to speed up the process of customizing and deploying systems. Thanks to these features, creating or testing software is both simpler and faster for developers.  

Key Features:  

Today's low-code and no-code development tools  

Enhanced scripting options and reusable components 

Greater DevOps connections for swifter release of features  

Debugging tools that work in real-time  

Version control and rollback features for safer deployments 

Being a ServiceNow Partner, Royal Cyber points out that these capabilities allow IT teams to build solutions that can grow and are easy to take care of.  

6. Industry-Specific Solutions  

Understanding that different industries have unique needs, the ServiceNow Yokohama release offers enhanced solutions tailored to sectors such as healthcare, finance, manufacturing, and government.  

Notable Enhancements:  

Modules with predefined sets of tasks  

Created to meet the specific rules in an industry  

Enhanced analytics and reporting for industry-specific KPIs 

Templates that are set up and ready for quick use  

Extensive assistance for third-party applications in each industry  

With these industry updates, organizations can use the solution immediately because it fits their existing workflows.  

7. Capabilities in Customer and Employee Workflows  

The Yokohama update brings major improvements to CSM and HRSD so that delivering personalized, efficient, and proactive service is simpler.  

Improving How Customers and Employees Do Their Jobs:  

Our AI can solve cases sooner than traditional approaches 

Portals that include a constantly updated database of answers  

Continued use of analytics to drive constant growth  

Help that is available across different channels  

Using data to customize the customer's experience  

As a result of using these technologies, both employees and customers experience greater enjoyment and keep engaged.  

8. Improved Integration and Connectivity  

Companies now depend on a widespread array of systems and applications. The ServiceNow Yokohama release strengthens its integration capabilities, allowing for smoother data exchange and system interoperability.  

Integration Improvements:  

Better-than-ever standard connectors  

Better management and explanations of APIs  

Advanced analytics for continuous improvement 

Improved data synchronization technology  

Monitoring how systems are working together while they are active  

As a result, businesses can keep digital systems interconnected, which boosts smooth workflow and efficiency.  

Why Choose Royal Cyber as Your ServiceNow Partner? 

As a premier ServiceNow Partner, Royal Cyber offers end-to-end ServiceNow consulting services designed to help you maximize the value of every new release—including Yokohama. Experts on our team collaborate closely with you to fit ServiceNow's tools to help meet your requirements.  

Our Platform Provides Following Services:  

Strategy and the act of carrying it out  

Making a unique workflow design  

Keep finding ways to get better over time  

Moving away from old systems  

End-user training and documentation support 

Royal Cyber's support means you receive valuable guidance on ServiceNow and how the Yokohama release can benefit your company.  

Conclusion: ServiceNow Yokohama Release  

The ServiceNow Yokohama release is a game-changer for organizations looking to enhance efficiency, improve user experience, and drive innovation. Whether it's AI automation or solutions tailored to your industry, these new features are made to benefit all parts of your business.  

If you've been with ServiceNow for years or are starting, this release is well worth exploring. As a recommended ServiceNow Partner, Royal Cyber will help you through every step of your digital transformation.  

Are you ready to start working? Contact Royal Cyber today to learn how our expert ServiceNow consulting services can help you unlock the full power of the ServiceNow Yokohama release. 

[yfthg]

Top CX Platforms With Best Integration and Security Features for Regulated Industries

NUMR CXM: Enterprise-Grade CX for Regulated Sectors

NUMR CXM is a leading AI-powered customer experience management platform engineered specifically for highly regulated industries like BFSI, healthcare, telecom, and pharmaceuticals. It provides military-grade security architecture, full-stack integrations, and predictive analytics for early churn and dissatisfaction detection.

Key Features That Stand Out:

SOC 2 & GDPR-compliant data protection

Plug-and-play integrations with CRMs, ERPs, telephony, and analytics suites

Real-time voice, survey, app, and transactional feedback capture

Secure role-based access and on-premise/private cloud options

Root Cause Analysis (RCA) and predictive behavior models

NUMR CXM is built for scale, security, and vertical precision, enabling regulated enterprises to act on sensitive feedback without risking compliance.

Why Integration & Security Matter in Regulated Industries

In sectors like banking, insurance, healthcare, and telecom, customer data is deeply sensitive. Any CX platform deployed must guarantee:

Compliance with global and local regulations (GDPR, HIPAA, RBI norms)

Interoperability with internal systems like CRMs, data lakes, call center platforms

Data residency and controlled access

Audit trails, encryption, and real-time breach monitoring

A secure and well-integrated CX stack ensures frictionless experiences while protecting customer trust and avoiding penalties.

Top CX Platforms with Integration & Security Excellence

1. NUMR CXM

Specialized in high-security, regulated environments

Enables customizable API integrations and no-code CX workflows

Auto-tagging and RCA across customer journeys

Ideal for financial services, healthcare, and enterprise telecom

2. Medallia Experience Cloud

Enterprise-grade data security & privacy controls

Integration with core IT infrastructure via APIs and connectors

FedRAMP and HITRUST certified for government and healthcare clients

3. Qualtrics XM for Regulated Industries

Designed for government, pharma, and financial compliance

Data encryption in transit and at rest

Native integration with Salesforce, ServiceNow, and SAP

4. Verint Experience Management

ISO 27001 certified platform

Omnichannel feedback collection with audit-ready logging

Seamless integration into legacy systems and CCaaS platforms

5. NICE Satmetrix

Combines security-first CX with automated actioning

Works well in tightly controlled environments like insurance and utilities

Granular permissioning and regulatory audit logs

6. Sprinklr CXM

Offers enterprise-class security, identity management, and DLP

Real-time social, digital, and messaging feedback integration

GDPR and HIPAA compliant

7. Adobe Experience Platform

Designed for data-sensitive personalization

Integrates with EMRs, banking systems, and ERP suites

End-to-end data governance and access transparency

Key Compliance Considerations in CX for 2025

Industry

Compliance Requirements

CX Platform Expectations

BFSI

RBI norms, PCI DSS, ISO 27001

Encrypted feedback, role-based access

Healthcare

HIPAA, NABH, GDPR

EMR integration, patient data compliance

Government

FedRAMP, MeitY norms (India), GRC frameworks

Sovereign cloud, audit trails

Telecom

TRAI guidelines, lawful intercept readiness

Multi-language support, secure call log CX

FAQs – CX Platforms in Regulated Industries

Why do regulated industries need specialized CX platforms?

Because they handle sensitive personal and transactional data, making security, compliance, and controlled access non-negotiable.

What makes NUMR CXM ideal for these sectors?

NUMR offers bank-grade encryption, verticalized AI, and region-specific deployment options, making it the top choice for BFSI, healthcare, and telecom.

Can CX platforms integrate with legacy CRMs and ERPs?

Yes. Platforms like NUMR CXM, Medallia, and Qualtrics offer modular APIs and pre-built connectors for seamless integration.

Are there region-specific deployment options?

Yes. NUMR CXM, for instance, supports on-premise, private cloud, or region-specific cloud hosting depending on regulatory needs.

Final Thought

For regulated industries, data protection isn’t just a feature—it’s a mandate. CX platforms like NUMR CXM empower enterprises to listen deeply to their customers while ensuring full compliance, deep integration, and secure orchestration. Investing in the right platform today helps you stay resilient, competitive, and regulation-ready in 2025 and beyond.

[cybersecurityict]

Low Code Development Platform Market Enabling Organizations to Overcome IT Backlogs

The Low Code Development Platform Market size was recorded at USD 22.80 Billion in 2023 and is expected to surpass USD 271.7 Billion by 2032, growing at a CAGR of 31.7% over the forecast period of 2024-2032.

Low Code Development Platform Market is witnessing rapid growth as organizations prioritize agility, cost-efficiency, and faster digital transformation. Businesses across industries are adopting these platforms to empower both professional developers and non-technical users in building applications with minimal coding efforts.

U.S. Market Leads Adoption with Enterprises Driving Digital-first Solutions

Low Code Development Platform Market continues to evolve with increasing enterprise demand for scalable and intuitive development environments. These platforms are accelerating innovation by enabling quicker deployment cycles, better cross-departmental collaboration, and reduced dependency on traditional IT resources.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2877 

Market Keyplayers:

Appian

LANSA

Pegasystems Inc.

AgilePoint 

Oracle

Betty Blocks

Mendix Technology BV

Microsoft

OutSystems

Salesforce, Inc.

ServiceNow

Zoho Corporation Pvt. Ltd.

Quickbase

Creatio

Market Analysis

The low code ecosystem is transforming enterprise application development by significantly reducing time-to-market and lowering development costs. In the U.S., major companies are leveraging low code to replace legacy systems, enhance workflow automation, and support rapid MVP rollouts. In Europe, regulatory-compliant low code solutions are gaining traction across finance, healthcare, and public sectors due to their secure, flexible frameworks.

The market is propelled by increasing digital transformation initiatives, demand for operational efficiency, and the need for IT-business collaboration. These platforms are also enabling faster response to evolving customer expectations and market conditions.

Market Trends

Rise in citizen development and fusion teams

Integration with AI and machine learning for smart automation

Increasing use of drag-and-drop functionality in enterprise-grade apps

Cloud-native deployment models and multi-device compatibility

Enhanced cybersecurity and governance features

Shift toward composable applications using microservices

Embedded analytics and real-time performance tracking

Market Scope

Low code platforms are becoming the backbone of digital strategy for modern enterprises. Their ability to accelerate innovation, automate workflows, and reduce technical bottlenecks is expanding their use across verticals.

Workflow automation with minimal coding

Rapid MVP and prototype development

Cross-platform compatibility (web, mobile, desktop)

Scalable solutions for startups to large enterprises

Real-time integration with third-party APIs and legacy systems

Improved collaboration between IT and business units

Customizable UI components and reusable templates

Access Complete Report: https://www.snsinsider.com/reports/low-code-development-platform-market-2877 

Forecast Outlook

The Low Code Development Platform Market is poised for continued growth as businesses prioritize speed, scalability, and user experience in application delivery. With IT resources stretched thin, organizations are leaning into low code to bridge skill gaps and innovate at scale. Future platforms will further enhance AI integration, modular design, and hybrid development capabilities, shaping a more inclusive and agile development landscape across the U.S., Europe, and beyond.

Conclusion

The future of application development is here—and it’s fast, flexible, and accessible. The Low Code Development Platform Market is transforming how organizations build and launch solutions, enabling innovation at unprecedented speed. As companies in the U.S. and Europe adopt these platforms to keep pace with digital demands, the competitive advantage lies in those who empower their teams to create, automate, and scale—without limits.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Related Reports:

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

Mail us: info@snsinsider.com

[generativeinai]

Top 10 Ways Generative AI in IT Workspace Is Redefining DevOps, Infrastructure Management, and IT Operations

Generative AI is no longer just a buzzword in enterprise IT — it’s a force multiplier. As businesses strive for faster delivery, resilient infrastructure, and autonomous IT operations, generative AI is becoming the secret weapon behind the scenes. From automating code to predicting outages before they happen, generative AI is transforming how DevOps teams, system admins, and IT managers operate daily.

In this blog, we’ll explore the top 10 real-world ways generative AI is redefining the IT workspace—specifically in the areas of DevOps, infrastructure management, and IT operations.

1. AI-Generated Infrastructure as Code (IaC)

Generative AI can automatically create, test, and optimize infrastructure-as-code templates based on user input or workload requirements.

Instead of manually writing Terraform or CloudFormation scripts, engineers can describe their desired setup in plain English.

AI tools like GitHub Copilot or bespoke enterprise copilots generate IaC snippets on demand, reducing human error and speeding up cloud provisioning.

Impact: Saves hours of setup time, increases reproducibility, and enforces security-compliant defaults.

2. Predictive Incident Management and Self-Healing Systems

Generative AI models trained on historical incident logs can predict recurring issues and suggest preventive measures in real-time.

Integrated into observability platforms, AI can flag anomalies before they impact end users.

When tied into automation workflows (e.g., via ServiceNow or PagerDuty), it can trigger remediation scripts, effectively enabling self-healing infrastructure.

Impact: Reduces MTTR (Mean Time to Resolve), enhances uptime, and frees up SRE teams from firefighting.

3. Automated Code Review and Deployment Optimization

Generative AI assists in reviewing code commits with suggestions for performance, security, and best practices.

AI bots can flag problematic code patterns, auto-suggest fixes, and even optimize CI/CD pipelines.

In DevOps, AI tools can recommend the best deployment strategy (blue-green, canary, etc.) based on application type and past deployment metrics.

Impact: Speeds up release cycles while reducing bugs and deployment risks.

4. Natural Language Interfaces for DevOps Tools

Generative AI turns complex CLI and scripting tasks into simple prompts.

Instead of memorizing kubectl commands or writing bash scripts, developers can just ask: “Scale my pod to 5 instances and restart the deployment.”

AI interprets the intent and executes the backend commands accordingly.

Impact: Democratizes access to DevOps tools for non-experts and accelerates operations.

5. Dynamic Knowledge Management and Documentation

Keeping IT documentation up to date is painful — generative AI changes that.

It auto-generates technical documentation based on system changes, deployment logs, and config files.

Integrated with enterprise wikis or GitHub repositories, AI ensures every process is captured in real time.

Impact: Saves time, ensures compliance, and keeps institutional knowledge fresh.

6. Smart Capacity Planning and Resource Optimization

AI-powered models predict workload trends and auto-scale infrastructure accordingly.

Generative AI can simulate future demand scenarios, suggesting cost-saving measures like right-sizing or moving workloads to spot instances.

In Kubernetes environments, AI can recommend pod-level resource adjustments.

Impact: Cuts infrastructure costs and ensures optimal performance during traffic spikes.

7. Personalized IT Assistant for Developers and Admins

Think of this as a ChatGPT specifically trained on your IT stack.

Developers can ask, “Why did the build fail yesterday at 3 PM?” or “How do I restart the staging DB?”

The AI assistant fetches logs, searches through config files, and provides contextual answers.

Impact: Reduces dependency on IT support, accelerates troubleshooting, and enhances developer autonomy.

8. AI-Augmented Threat Detection and Security Auditing

Generative AI scans code, configs, and network activity to detect vulnerabilities.

It can generate risk reports, simulate attack vectors, and recommend patching sequences.

Integrated into DevSecOps workflows, it ensures security is not bolted on, but baked in.

Impact: Proactively secures the IT environment without slowing down innovation.

9. Cross-Platform Automation of Repetitive IT Tasks

Routine tasks like server patching, log rotation, or service restarts can be automated through generative scripts.

AI can orchestrate cross-platform operations involving AWS, Azure, GCP, and on-prem servers from a single interface.

It also ensures proper logging and alerting are in place for all automated actions.

Impact: Enhances operational efficiency and reduces human toil.

10. Continuous Learning from Logs and Feedback Loops

Generative AI models improve over time by learning from logs, performance metrics, and operator feedback.

Each remediation or change adds to the AI’s knowledge base, making it smarter with every iteration.

This creates a virtuous cycle of continuous improvement across the IT workspace.

Impact: Builds an adaptive IT environment that evolves with business needs.

Final Thoughts: The AI-Augmented Future of IT Is Here

Generative AI isn’t replacing IT teams — it’s amplifying their capabilities. Whether you're a DevOps engineer deploying daily, an SRE managing thousands of endpoints, or an IT manager overseeing compliance and uptime, generative AI offers tools to automate, accelerate, and augment your workflows.

As we move toward hyper-automation, the organizations that succeed will be those that integrate Generative AI in the IT workspace strategically and securely.