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Advancing Azure service quality with artificial intelligence: AIOps

Microsoft Azure Cloud Services, Uncategorized /

We are going to share our vision on the importance of infusing AI into our cloud platform and DevOps process. Gartner referred to something similar as AIOps (pronounced “AI Ops”) and this has become the common term that we use internally, albeit with a larger scope. Today’s post is just the start, as we intend to provide regular updates to share our adoption stories of using AI technologies to support how we build and operate Azure at scale. Why AIOps? There are two unique characteristics of cloud services: The ever-increasing scale and complexity of the cloud platform and systems The ever-changing needs of customers, partners, and their workloads To build and operate reliable cloud services during this constant state of flux, and to do so as efficiently and effectively as possible, our cloud engineers (including thousands of Azure developers, operations engineers, customer support engineers, and program managers) heavily rely on data to make decisions and take actions. Furthermore, many of these decisions and actions need to be executed automatically as an integral part of our cloud services or our DevOps processes. Streamlining the path from data to decisions to actions involves identifying patterns in the data, reasoning, and making predictions based on historical data, then recommending or even taking actions based on the insights derived from all that underlying data.   Figure 1. Infusing AI into cloud platform and DevOps. The AIOps vision AIOps has started to transform the cloud business by improving service quality and customer experience at scale while boosting engineers’ productivity with intelligent tools, driving continuous cost optimization, and ultimately improving the reliability, performance, and efficiency of the platform itself. When we invest in advancing AIOps and related technologies, we see this ultimately provides value in several ways: Higher service quality and efficiency: Cloud services will have built-in capabilities of self-monitoring, self-adapting, and self-healing, all with minimal human intervention. Platform-level automation powered by such intelligence will improve service quality (including reliability, and availability, and performance), and service efficiency to deliver the best possible customer experience. Higher DevOps productivity: With the automation power of AI and ML, engineers are released from the toil of investigating repeated issues, manually operating and supporting their services, and can instead focus on solving new problems, building new functionality, and work that more directly impacts the customer and partner experience. In practice, AIOps empowers developers and engineers with insights to avoid looking at raw data, thereby improving engineer productivity. Higher customer satisfaction: AIOps solutions play a critical role in enabling customers to use, maintain, and troubleshoot their workloads on top of our cloud services as easily as possible. We endeavor to use AIOps to understand customer needs better, in some cases to identify potential pain points and proactively reach out as needed. Data-driven insights into customer workload behavior could flag when Microsoft or the customer needs to take action to prevent issues or apply workarounds. Ultimately, the goal is to improve satisfaction by quickly identifying, mitigating, and fixing issues. Figure 2. AI for Cloud: AIOps and AI-Serving Platform. AIOps Moving beyond our vision, we wanted to start by briefly summarizing our general methodology for building AIOps solutions. A solution in this space always starts with data—measurements of systems, customers, and processes—as the key of any AIOps solution is distilling insights about system behavior, customer behaviors, and DevOps artifacts and processes. The insights could include identifying a problem that is happening now (detect), why it’s happening (diagnose), what will happen in the future (predict), and how to improve (optimize, adjust, and mitigate). Such insights should always be associated with business metrics—customer satisfaction, system quality, and DevOps productivity—and drive actions in line with prioritization determined by the business impact. The actions will also be fed back into the system and process. This feedback could be fully automated (infused into the system) or with humans in the loop (infused into the DevOps process). This overall methodology guided us to build AIOps solutions in three pillars. Figure 3. AIOps methodologies: Data, insights, and actions. AI for systems Today, we’re introducing several AIOps solutions that are already in use and supporting Azure behind the scenes. The goal is to automate system management to reduce human intervention. As a result, this helps to reduce operational costs, improve system efficiency, and increase customer satisfaction. These solutions have already contributed significantly to the Azure platform availability improvements, especially for Azure IaaS virtual machines (VMs). AIOps solutions contributed in several ways including protecting customers’ workload from host failures through hardware failure prediction and proactive actions like live migration and Project Tardigrade and pre-provisioning VMs to shorten VM creation time. Of course, engineering improvements and ongoing system innovation also play important roles in the continuous improvement of platform reliability. Hardware Failure Prediction is to protect cloud customers from interruptions caused by hardware failures.  Microsoft Research and Azure have built a disk failure prediction solution for Azure Compute, triggering the live migration of customer VMs from predicted-to-fail nodes to healthy nodes. We also expanded the prediction to other types of hardware issues including memory and networking router failures. This enables us to perform predictive maintenance for better availability. Pre-Provisioning Service in Azure brings VM deployment reliability and latency benefits by creating pre-provisioned VMs. Pre-provisioned VMs are pre-created and partially configured VMs ahead of customer requests for VMs. As we described in the IJCAI 2020 publication, As we described in the AAAI-20 keynote mentioned above,  the Pre-Provisioning Service leverages a prediction engine to predict VM configurations and the number of VMs per configuration to pre-create. This prediction engine applies dynamic models that are trained based on historical and current deployment behaviors and predicts future deployments. Pre-Provisioning Service uses this prediction to create and manage VM pools per VM configuration. Pre-Provisioning Service resizes the pool of VMs by destroying or adding VMs as prescribed by the latest predictions. Once a VM matching the customer’s request is identified, the VM is assigned from the pre-created pool to the customer’s subscription. AI for DevOps AI can boost engineering productivity and help in shipping

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How Manufacturing Industry Transformed using Microsoft Dynamics 365

Uncategorized /

The future of manufacturing will be defined by the quality of investments companies are making today In the not too distant past, efforts in manufacturing to optimize productivity and increase customer satisfaction were viewed as separate endeavors. Today, the convergence of physical and digital trends is disrupting these kinds of assumptions. Manufacturers today care about integrated digital and physical systems, improved visibility, increased efficiency, additional flexibility, and lower costs. They want to connect equipment and factories, leveraging data from the factory floor to the customer call center to improve every aspect of their operations. But this is just the beginning. Digitization is fundamentally changing the way manufacturers do business, enabling a customer-centric approach while optimizing operations. Digitally empowered manufacturers engage customers throughout the product lifecycle from design to field service. They sell value-add services to complement the product sales, opening new revenue streams and strengthening their customer relationships. And they are revolutionizing delivery of these differentiated services, using technology like augmented reality to combine the eyes of a technician in the field with the insights of an expert back at headquarters. Capitalizing on these trends isn’t limited to large, well-resourced manufacturers. Across all kinds of manufacturing operations, the opportunity to digitize and transform your business has never been more accessible. Imagine your business transformed The Microsoft vision for supporting digital manufacturing embraces the seismic shifts in the industry today. We’ve created solutions that provide a unified and flexible approach across front office and production floor processes. Our approach enables transformation in six ways: Optimize supply chain operations through better visibility and collaboration By collecting, integrating, and visualizing global supply chain data worldwide, manufacturers gain better visibility into their operations from production to sales. For example, one of the world’s largest industrial automation firms found that by automating the collection and analysis of data from remote installations across the petroleum supply chain, they strengthened their competitive advantage with a faster time to market. Improved access to supply chain data is also the basis for better collaboration across production, supply, service, and sales.  Streamline the management of assets, products, and production With a consolidated view that unifies process oversight and provides real-time insight, manufacturers can institutionalize efficiency gains and use connected devices to monitor and resolve issues remotely. One leading manufacturer of industrial robots enabled 24-hour continuous uptime using this approach. The additional insights into production and customer usage also allow manufacturers to provide value-added services like ongoing monitoring and proactive support. Engage customers in powerful new ways To deliver personalized and contextual engagement across any channel, manufacturers must provide customers with more visibility and build trust through fast and convenient responses. This engagement approach is built on a combination of predictive analytics, the ability  to deliver value-added services at scale, and guided or self-directed service that’s relevant to customer needs. With the implementation of a connected platform for sales through service, a leading home technology manufacturer not only solved potential problems remotely before customers ever felt the impact, but provided custom differentiated offerings based on unique customer usage and purchasing history.  Transform service centers into profit centers Thanks to the ever-decreasing cost of IoT sensors, sophisticated mobile devices, and cloud-based data aggregation, manufacturers can improve service quality and margins by offering remote monitoring and proactive maintenance services that supplement break/fix support. By more intelligently coordinating technicians equipped with mobile and virtual reality tools, companies can leverage existing expertise and minimize costly engagements. A leading tire service and manufacturing company found that by combining customer records, technician availability, and back-end inventory in a single mobile-friendly system, it could provide a seamless user experience as well as improve its service delivery. understand their business more deeply, from customer usage through supply chain sourcing and production. With IoT-enabled parts, assets, and products, manufacturers can gain the insights needed to innovate. Data from connected products and equipment can empower developers, engineers, and technicians to collaborate. For example, teams can identify overengineered or faulty components and track product usage in the field to improve future designs. When a leading information and communication technology company implemented remote monitoring, they decreased time to production as well as accelerated the cycle of innovation using a data-driven approach. Empower employees to work more effectively When a company can provide 360-degree views of customer assets and work order history, technicians are empowered by a better understanding of not only the job in front of them, but of other similar and successful field service engagements. This goes hand in hand with empowering service agents to provide instant feedback, using machine learning to find and follow similar cases for successful troubleshooting, and scheduling a visit or evaluation. A leading auto manufacturer wanted to save money by unifying their siloed customer service and customer engagement while providing employees with better tools to understand customer sentiment. To accomplish this, it implemented a system to connect production and project management with their customer relationship management systems in order to deliver personalized service and recommendations to their customers.  Introducing Microsoft Dynamics 365 For manufacturers, Microsoft Dynamics 365 ends the artificial divide between CRM and ERP systems and supplements necessary capabilities with rich analytics, embedded intelligence, and the convenience people expect from consumer apps on their phone or tablet. Dynamics 365 unites the front office and the back office with a single end-to-end system for managing every aspect of your business, at the pace and scale that’s right for you. Digital transformation isn’t accomplished overnight and leveraging current investments is a key component of any successful approach. With Microsoft, you can optimize across all your processes while laying the foundation for connecting advanced technology in the future. Blog reference: https://cloudblogs.microsoft.com/dynamics365/bdm/2017/05/30/manufacturing-transformed-microsoft-dynamics-365

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Business team using CRM software to manage sales, customer data, and communication workflows.

5 Clear Signs Your Business Needs CRM Software in 2026

Microsoft Dynamics CRM /

Here is a question most business owners ask too late: at what point does managing customer relationships in spreadsheets, email inboxes, and memory become a liability rather than a system? The honest answer is — sooner than you think. Customer Relationship Management (CRM) software is not just for large enterprises with complex sales teams. It is for any business that wants to grow its customer base, retain the customers it already has, and make sure no opportunity falls through the cracks. The challenge is recognising when the moment has arrived. Here are five clear signs that your business needs CRM software — and why Microsoft Dynamics 365 is the platform most businesses choose. What Is CRM Software and Why Does It Matter? CRM software is a centralised system that manages every interaction between your business and your customers — from the first marketing touchpoint through the sales cycle, the initial purchase, ongoing service, and renewal. Done well, CRM gives every team member a complete, real-time picture of every customer relationship. Sales knows what marketing has sent. Customer service knows what sales has promised. Management knows exactly where every opportunity stands. Without CRM, this information lives in individual inboxes, personal spreadsheets, and people’s heads — and every time someone leaves the business, some of that knowledge leaves with them. 5 Signs Your Business Needs CRM Software Now Sign 1 — You Are Losing Leads Without Knowing Why Leads come in through your website, social media, phone calls, and referrals. But if you are managing them manually, some of those leads are simply not being followed up — because they were logged in the wrong place, assigned to the wrong person, or forgotten during a busy week. A CRM captures every lead automatically, assigns it to the right team member, sets follow-up reminders, and tracks every interaction. Nothing gets lost. Every opportunity gets the attention it deserves. If you have ever discovered a warm lead that was never followed up weeks after it arrived — your business needs CRM. Sign 2 — Your Marketing and Sales Teams Work in Silos Marketing generates leads. Sales closes deals. But when these two teams work from different systems and different data, the handoff between them is where opportunities die. Marketing does not know which leads converted. Sales does not know which campaigns generated their best prospects. Neither team can make decisions based on the complete picture — because that picture does not exist in any single place. CRM creates a shared view of every customer and every lead — so marketing can see which campaigns produce sales-ready prospects and sales can engage leads with full context on their marketing journey. The result is better targeting, higher conversion rates, and a measurable improvement in revenue. If your marketing and sales teams regularly blame each other for pipeline problems — your business needs CRM. Sign 3 — You Cannot Easily Create Quotes and Track Invoices For businesses that sell through a quotation process — professional services, manufacturing, technology, or any B2B operation — the ability to create, track, and follow up on quotes directly impacts how quickly deals close. A CRM with a built-in quoting and invoicing module connects the entire opportunity-to-cash process: If your team is manually creating quotes in Word documents and tracking them in a spreadsheet — your business needs CRM. Sign 4 — Customer Service Issues Are Falling Through the Gaps Customer service quality is directly tied to information quality. When a customer calls with a problem, the speed and accuracy of the resolution depends on whether your team can instantly see their complete history — what they bought, when, what issues they have had before, and what was promised. Without CRM, this information is scattered across email threads, support tickets, and different team members’ notes. The customer ends up repeating themselves. Issues take longer to resolve. Satisfaction drops. CRM centralises customer service management: If customers regularly complain about having to repeat their issue to multiple people — your business needs CRM. Sign 5 — You Cannot See How Your Business Is Really Performing Good management decisions are built on good data. But if your sales pipeline lives in a spreadsheet, your customer data is in email, and your service records are in a helpdesk tool — getting a clear, current picture of business performance requires manual compilation that takes hours and is outdated the moment it is finished. CRM provides real-time dashboards and reports that give every level of the organisation instant visibility: If your management team regularly makes decisions based on instinct because the data is too hard to access quickly — your business needs CRM. Why Microsoft Dynamics 365 CRM Microsoft Dynamics 365 is one of the world’s most widely adopted CRM platforms — and for good reason. It covers every scenario described above in a single, unified platform: lead management, marketing automation, sales pipeline, quoting and invoicing, customer service, and real-time analytics — all connected on the same data model. Key advantages over standalone CRM tools: Why Trident Is India’s Trusted Dynamics 365 CRM Partner As a certified Microsoft Dynamics 365 partner, Trident Information Systems has helped businesses across sales, marketing, manufacturing, retail, and professional services in India implement CRM solutions that close the gaps described in this article. Our CRM implementations are configured around your specific sales process and customer management requirements — not a generic template. Ready to find out how CRM software can transform your customer relationships? Book a free Dynamics 365 CRM assessment with Trident today. For more insightful content and industry updates, follow our LinkedIn page.

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