COVID-19 Solutions: An approach towards tackling the situation with AI

Uncategorized / Trident Information Systems

[vc_row][vc_column][vc_column_text]The COVID-19 outbreak has challenged the whole world, specifically targeting the health, cleanliness and the economic aspect of our daily lives. Research is in progress in many parts of the world at its best pace, to defeat the virus and help bring back our carefree living conditions. The virus is teaching the world, directing each of our working world around the essential and the optional part of our daily lives. We too have learned our part of the lesson, and have started working towards the development of essential services that can help through and beyond our fight against such diseases. Understanding the situation During our long lockdown, we have understood that work cannot be paused for long, as without it, there is no future. However, given the current situation it seems easy to understand that certain amendments in our working lifestyle are a must, because mistakes and carelessness can cost lives in these times. Some generally advised amendments are: Wearing a mask, in public areas can help reduce the spread, as well as it can help prevent one from such a virus. Social Distancing, in public areas can reduce the spread. Washing hands more often with soap and sanitisation using spirit based sanitizers. Changing our habit of touching our face more often. [/vc_column_text][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text] Face Mask Detection Systems using Vision AI We have leveraged our AI capabilities to provide surveillance cameras the ability to automatically generate alerts if any person is found not wearing a mask. This transforms your regular CCTV camera setup into an automated check for people following the norms and rules set up and defined to help continue the work. Also, it will help generate the reports regarding the violators to security and concerned personnel to immediately make corrective actions at earliest. We are also working on ideas to help recognize the violators and directly notify them to further reduce the time taken to correct the situation.[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/2″][vc_single_image image=”7883″ img_size=”full”][/vc_column_inner][/vc_row_inner][vc_row_inner][vc_column_inner width=”1/2″][vc_single_image image=”7941″ img_size=”full”][/vc_column_inner][vc_column_inner width=”1/2″][vc_column_text] Social Distancing using Vision AI We have also been working on utilizing the same installed cameras to identify if social distancing rules set by the organization in authority, are being followed. Using AI to again identify the distances between people and again, generating alerts for the same to rectify the violators. The reports and dashboarding will automatically provide the details of all such activities.[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row]

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Whitepaper: The business owner’s guide for replacing accounting software

dynamics 365 business central / Trident Information Systems

Replacing your accounting software is easier and more affordable than you may think. Use this guide to learn about the benefits of a modern technology platform, better understand the advantages of a cloud-based solution, and know what questions to ask when evaluating your options.

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Whitepaper : Four technology trends helping businesses thrive in a digital world

dynamics 365 business central / Trident Information Systems

4 ways technology can help businesses thrive in a digital world. The good news is that the tools that help businesses capitalize on this digital transformation are more accessible than ever before. The cloud is removing barriers like high up-front costs, ongoing maintenance, and IT dependency.

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Dynamics 365 Field Service dashboard using AI scheduling and IoT alerts to optimize technicians and reduce onsite service visits.

Field Service Teams Are Doing More With Fewer Technicians — Here’s What Makes That Work

Dynamics 365 for Field Service Management / Trident Information Systems

INTRO Fewer onsite technicians. Less face-to-face customer contact. The same expectation of fast, reliable service. That’s the operating reality most field service teams are managing now, and it’s forcing a shift from reactive dispatch to genuinely proactive service — sending the right person, with the right parts, before a customer even calls. Dynamics 365 Field Service is built around that shift, with AI-driven scheduling, remote collaboration tools, and IoT-based alerting doing the work that used to require more people on the road. First-Time Fix Rate Is the Metric That Actually Matters A technician’s onsite time is expensive — every callback for a missed fix compounds that cost. Field Service’s Inspections feature lets technicians capture structured data during a visit, improving quality and safety documentation without extra paperwork afterward. Built-in time tracking — automated where possible, manual where needed — feeds precise data back into scheduling, so utilization decisions are based on what visits actually take, not estimates. Remote Expertise, Without the Travel Dynamics 365 Remote Assist lets a technician using a HoloLens headset record and share a live session with an expert elsewhere — someone who can guide a fix in real time instead of the technician calling it in and waiting for a callback. That’s a direct lever on first-time fix rates: the technician gets specialist input on-site, in the moment, instead of after a second visit gets scheduled. AI Alerting Turns IoT Data Into Action, Not Noise Connected equipment generates a constant stream of telemetry — the hard part has never been collecting it, it’s knowing which alerts actually predict a failure worth dispatching for. Field Service uses AI-generated suggestions based on historical service data to surface the IoT alerts most likely to matter, paired with time-series views that let a dispatcher see an asset’s alert history at a glance rather than piecing it together manually. The practical effect: better incident categorization feeds directly into parts inventory planning and technician scheduling, which is where a lot of avoidable service cost actually lives. One System, Not Five Disconnected Tools Field Service now integrates more tightly with the rest of the Microsoft stack: Scheduling Is Where Efficiency Either Happens or Doesn’t Resource Scheduling Optimization automatically matches jobs to the technicians, equipment, and facilities actually equipped to handle them. The current scheduling board adds drag-and-drop functionality and materially better performance over the previous version — which matters more than it sounds, since a slow scheduling tool pushes dispatchers toward manual overrides that undo the optimization in the first place. Manager and dispatcher dashboards surface utilization data directly, so schedule adjustments come from visible patterns instead of guesswork. What This Looks Like at Scale Siemens Smart Infrastructure — which connects energy systems and building infrastructure across industries — runs Dynamics 365 Field Service to support over 12,000 employees, including 7,500 service technicians. Proactive service delivery, AI-driven scheduling, and real-time coordination are what let an organization at that scale stay responsive to disruption instead of falling back on manual dispatch when volume spikes. Want to see Dynamics 365 Field Service against your current dispatch process? Contact Trident Information Systems for a demo. FAQ What is Dynamics 365 Field Service used for?It’s Microsoft’s platform for managing onsite and remote service operations — scheduling technicians, tracking work orders, and using AI and IoT data to shift from reactive to proactive service delivery. Does Dynamics 365 Field Service work with IoT devices?Yes — it uses AI to analyze IoT alerts from connected equipment and prioritize which ones are most likely to require a technician dispatch, based on historical service data. Can Dynamics 365 Field Service integrate with Business Central?Yes — Field Service integrates with Business Central and Supply Chain Management to connect asset management and inventory data directly into the field service workflow.

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Cloud kitchen management system handling online orders, kitchen operations, and food delivery in 2026.

Cloud Kitchen Concept: Why Should You Invest in a Cloud Kitchen Business in 2026?

Cloud Kitchen Technology / Trident Information Systems

The food industry has changed forever — and cloud kitchens are leading that change. What started as a pandemic-era workaround has become one of the most profitable and fastest-growing business models in the food service industry. In 2026, cloud kitchens aren’t a trend. They’re a permanent, mainstream pillar of how food gets made and delivered — and the opportunity for entrepreneurs has never been bigger. The global cloud kitchen market was valued at USD 85.5 billion in 2025 and is projected to reach USD 185.7 billion by 2034. In India specifically, the market reached USD 1.24 billion in 2025 and is growing at a CAGR of 12.28% — projected to hit USD 3.69 billion by 2034. India is now the second-largest cloud kitchen market in Asia, after China. If you’ve been thinking about entering the food business — or expanding your existing restaurant operation — here’s everything you need to understand about the cloud kitchen concept and why 2026 is the right time to invest. What Is a Cloud Kitchen? A cloud kitchen — also called a ghost kitchen, dark kitchen, or virtual restaurant — is a food preparation facility built exclusively for delivery. There is no dine-in space, no waitstaff, no fancy interiors, and no walk-in customers. Everything operates digitally. Orders come in through food delivery apps like Swiggy, Zomato, and ONDC, or through the brand’s own website and app. Food is prepared in the kitchen and dispatched directly to the customer’s door. The result: lower overhead, faster operations, and the ability to serve more customers with significantly less investment than a traditional restaurant. How Does the Cloud Kitchen Business Model Work? Cloud kitchens typically operate in one of three formats: Independent Cloud Kitchen — A single brand operates from a dedicated kitchen space, taking orders from delivery platforms and its own channels. This is the most common model, holding 63% of global market share in 2025. Hub & Spoke Model — A central kitchen (the hub) handles bulk preparation and distributes to smaller satellite kitchens (the spokes) located closer to customers. This model maximizes delivery speed and coverage across a city. Shared / Commissary Kitchen — Multiple food brands share a single kitchen facility, splitting infrastructure costs. Ideal for startups and first-time food entrepreneurs wanting to test their concept with minimal investment. In all three models, the core operational flow is the same: online order received → kitchen prepares → delivery partner dispatches → customer receives. No tables. No waiting. No overheads that don’t contribute to revenue. 6 Powerful Reasons to Invest in a Cloud Kitchen Business 1. Dramatically Lower Investment to Start Starting a traditional dine-in restaurant in India typically requires significant capital — location fit-out, furniture, décor, kitchen equipment, staff, and months of losses before hitting profitability. Cloud kitchens slash that entry cost by 70–80%. You need a kitchen space, equipment, a few delivery registrations, and an FSSAI licence. In metro cities, rental costs for a cloud kitchen space can be as low as ₹15,000–30,000 per month. The capital you save goes directly into product quality, marketing, and growth. 2. Faster Return on Investment Lower startup costs mean your break-even point arrives much sooner. Because cloud kitchens have no dine-in overheads — no ambience spending, no waitstaff salary bill, no front-of-house maintenance — a significantly higher percentage of every order contributes directly to profit. This is why entrepreneurs increasingly prefer the cloud kitchen model as their first or next outlet. The ROI timeline that takes a traditional restaurant 2–3 years can be achieved by a well-run cloud kitchen in 6–12 months. 3. Unlimited Scalability Traditional restaurants scale by opening new locations — each requiring full investment, fit-out, and months of ramp-up. Cloud kitchens scale differently. From one kitchen space, you can operate multiple virtual brands simultaneously — each with its own menu, pricing, identity, and target audience. A single kitchen in Delhi can run a biryani brand, a burger brand, and a healthy meal brand at the same time. When one brand gains traction, you expand it to the next city using the hub-and-spoke model — without the capital burden of a traditional rollout. Kitchen pods — micro-format cloud kitchens deployable in apartment basements, mall food courts, and office parks — are growing at a 14.6% CAGR and represent the next frontier of scalable cloud kitchen expansion across India’s Tier-2 cities. 4. Brand Exclusivity and Menu Innovation Cloud kitchens give food entrepreneurs something traditional restaurants rarely can — the freedom to be bold. With no physical space to maintain and no walk-in customer expectations to manage, you can launch niche concepts, test new menus, and pivot quickly based on delivery data. Think Netflix Originals — exclusive content that keeps audiences engaged. Cloud kitchens work the same way: unique, delivery-first food concepts that customers can only order from you. In 2026, India’s demand for international cuisine, premium healthy food, and hyperlocal regional dishes is surging. Cloud kitchens are perfectly positioned to capture these niche segments faster than any dine-in restaurant ever could. 5. Competitive Pricing Power When you eliminate spending on ambience, signage, furniture, and front-of-house staff — you free up capital that goes directly into what actually drives customer loyalty: food quality, packaging, and digital presence. Cloud kitchens can offer better food at lower prices than comparable dine-in restaurants while still maintaining healthy margins. This pricing advantage, combined with the convenience of home delivery, is a powerful combination in India’s price-sensitive food market. 6. Access to a Massive and Growing Digital Customer Base India has over 820 million active internet users. Swiggy and Zomato together process millions of orders every day. ONDC is now disrupting the delivery platform duopoly and reducing commission costs for cloud kitchen operators — improving unit economics further. By registering across multiple delivery platforms and building your own direct ordering channel, a cloud kitchen can access an enormous customer base from day one — without the geographic limitations that cap a dine-in restaurant’s growth. The Technology Behind a Successful Cloud Kitchen

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Your Online Grocery Store Isn’t Losing Customers to Competitors — It’s Losing Them to Friction

Retail ERP Software, Retail POS Solution / Trident Information Systems

INTRO Online grocery sales are growing at roughly 28% a year — more than ten times the rate of total grocery sales. That growth is also exposing which retailers built their online grocery ERP software around real shopping behavior, and which bolted e-commerce onto a system that was never designed for it. The seven gaps below are the ones costing retailers carts, not competitors. Each one is a system problem before it’s a customer-experience problem. Slow Search Costs You the Sale Before Checkout A shopper hunting through a hundred-item bread category for one product doesn’t file a complaint — they just leave. Category filtering, predictive search (“did you mean coriander?”), and complete product data — pack size, allergens, expiry — aren’t UX polish. They’re inventory data problems, and they trace back to whether your ERP actually feeds structured product data to your storefront or leaves your web team entering it by hand. Hidden Delivery Restrictions Kill Orders After the Cart Is Full Nothing costs a sale faster than a shopper spending 20 minutes filling a cart, then discovering their postcode isn’t serviceable. Delivery zones, pricing, and timing need to be visible before checkout starts — which means your delivery logic needs to be connected to your commerce platform in real time, not a static page someone forgot to update last quarter. Fix This With a Clear Checkout FlowLabel every step (Details → Shipping → Payment → Review), show a progress bar, and confirm the order with a summary — items, delivery window, and what happens next. Ambiguity at checkout is where carts get abandoned. Mobile Is Already Majority Traffic — Is Your Platform Built for It? Mobile drives the majority of e-commerce traffic and sales for most retailers now. If your site isn’t fully responsive — large tap targets, zoomable product images, a cart that persists across devices — you’re optimizing for the smaller slice of your audience. Cart persistence in particular matters: a shopper who starts on their phone and finishes on a laptop shouldn’t have to rebuild their order. “Endless Aisle” Only Works With Real Navigation Online stores can carry far more SKUs than a physical location — but only if customers can actually find them. Top-level categories, sort-and-filter by price or brand, and a visibly confirmed “add to cart” action are baseline. Without them, a bigger catalog just means a worse search experience. Delivery Precision Drives Conversion More Than Delivery Speed Nielsen’s Global Connected Commerce research points to 30-minute delivery windows as the benchmark shoppers respond to — not same-day delivery in the abstract, but a specific window they can plan around. Whether you deliver direct, via locker pickup, curbside, or through a partner like Instacart depends on your infrastructure. What matters is picking one you can reliably hit. Freshness Anxiety Is a Solvable Data Problem Spoilage risk is one of the top reasons shoppers hesitate to buy fresh groceries online. Freshness labels showing remaining shelf life after delivery, visible customer reviews per product, and a clear return or refund policy for produce that doesn’t meet expectations all directly address that hesitation — but only if your system tracks expiry data at the SKU level to begin with. One Broken Link in the Chain Becomes the Whole Brand’s Problem A late delivery, a wrong product description, or a broken cold-storage locker doesn’t read to the customer as “a vendor issue” — it reads as your failure. This is why online grocery ERP software has to unify inventory, POS, delivery logistics, and product data on one system. Disconnected point solutions are where these failures start. Running your online grocery operation on disconnected systems? Talk to Trident about an ERP assessment built for grocery retail. FAQ What ERP features matter most for online grocery retailers?Real-time inventory sync, SKU-level expiry tracking, and integration between POS, e-commerce, and delivery logistics matter most — these directly address the stockout, freshness, and delivery-accuracy issues that cause cart abandonment. Why do online grocery shoppers abandon their carts?The most common causes are hidden delivery restrictions discovered late in checkout, slow or unclear search, and lack of trust in product freshness — all of which trace back to system-level data gaps, not just website design. What delivery window works best for online grocery?Research from Nielsen points to 30-minute delivery windows as the standard shoppers respond to best, provided the retailer can consistently meet that window.

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AI, IoT, and mixed reality technologies improving supply chain visibility, logistics, and warehouse operations.

Reduce supply chain disruptions with AI, IoT, and mixed reality

Supplychain management ERP / Trident Information Systems

Reduce Supply Chain Disruptions With AI, IoT, and Mixed Reality Supply chains built on single suppliers and single locations don’t survive contact with real-world disruption — port closures, geopolitical trade shifts, or a single supplier’s factory going offline can stall production for weeks. [Flag: insert a recent disruption stat relevant to your audience’s industry — e.g., percentage of manufacturers reporting supplier delays in the past 12 months.] The response isn’t more inventory sitting idle; it’s a supply chain that senses problems early and reconfigures itself before they cascade. That’s the shift Dynamics 365 Supply Chain Management is built around — replacing static, just-in-time planning with predictive, adaptive planning powered by AI, IoT, and mixed reality across production, inventory, and warehouse operations. From “Just-in-Time” to “Just-in-Case” Planning The single-supplier, single-location model was optimized for cost, not resilience. When one link breaks, the entire chain stops. Manufacturers are now deliberately building in redundancy — multiple suppliers and locations for mission-critical parts — even where it costs more, because the cost of a stalled production line consistently outweighs the premium paid for supply flexibility. This shift also demands shorter production runs. Factories need to serve a wider range of products in smaller batches, with lower changeover time between runs. That requires planning systems that recalculate in near real time as demand shifts, not systems that lock in a monthly production plan and treat disruption as an exception to manage manually. Predictive Planning Instead of Reactive Firefighting D365 Supply Chain Management applies AI-driven demand forecasting across planning, production, inventory, warehouse, and transportation management — so a shift in demand or a supplier delay triggers a re-plan before it becomes a stockout. IoT sensor data from equipment feeds directly into this loop, flagging machine performance drift or maintenance needs before a breakdown takes a production line offline unexpectedly. For manufacturers running multi-location operations across India, UAE, or East Africa, this matters more than it might in a single-plant setup — a delay at one facility needs to trigger an automatic reallocation check against inventory and capacity at other sites, not a phone call three days later. Cut Training Time With Mixed Reality Guidance One of the more underused levers in supply chain resilience is workforce agility — how fast you can get a new or reassigned worker productive on unfamiliar equipment. D365 Supply Chain Management integrates with Dynamics 365 Guides, delivering step-by-step, hands-free instructions through a HoloLens device, walking workers through exactly which tool and part to use at each step of a task. This does two things for resilience specifically. First, it makes equipment maintenance skillset-agnostic — you’re no longer waiting on one specialist who knows a particular machine, because any trained worker can follow the holographic guide. Second, it shortens the ramp-up time when you need to redeploy staff to a different line or location during a disruption, which is exactly when you can’t afford a multi-week training cycle. Guides are authored without code — someone writes the instructions and places holographic markers directly on the machine where the work happens, which means your own team can build and update guides as processes change, not wait on an external developer. What This Means for Your Operation Resilience isn’t a single feature — it’s the combination of predictive planning that reduces reaction time, IoT visibility that catches problems before they cause downtime, and a workforce that can be redeployed without retraining bottlenecks. Manufacturers evaluating this shift should look specifically at how their current ERP handles multi-location inventory visibility and whether production re-planning happens in real time or requires manual intervention. [Flag: insert a client example or case study reference here if available — a specific implementation outcome carries more weight than a general capability claim.] Considering a resilience-focused upgrade to your supply chain platform? Talk to Trident’s Dynamics 365 Supply Chain Management team about what a multi-location, AI-driven planning setup looks like for your operation.

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Cloud ERP dashboard helping SMBs manage finance, inventory, operations, and business performance.

Why SMBs Should Move ERP to the Cloud in 2026

Microsoft Azure Cloud Services / Trident Information Systems

Why SMBs Should Move ERP to the Cloud in 2026 Roughly 44% of small businesses now run meaningful cloud infrastructure, and that number keeps climbing. But most of that adoption is email and productivity tools — not the ERP system running finance, inventory, and operations. That gap is where SMBs quietly lose money every year. The Real Cost of Staying on Legacy ERP Companies spent 40% of their IT budgets in 2025 just keeping legacy systems running — patching, maintaining, and working around software that was outdated the day it was installed. That’s not investment; it’s maintenance debt with no return. Every year an SMB delays ERP migration, that wasted spend tends to grow, not shrink, because the gap between legacy capability and modern cloud ERP keeps widening. Global public cloud spending is projected to hit $723.4 billion in 2025, up from $595.7 billion the year before — a jump driven largely by core workloads shifting into the cloud, not just email. ERP is where legacy costs compound fastest, which is exactly why it’s driving so much of that growth. Predictable Costs Instead of Capital Surprises The CapEx-to-OpEx shift is the change SMBs feel first. Instead of a large upfront hardware and licensing spend followed by unpredictable maintenance bills, cloud ERP runs on subscription pricing tied to actual usage. For Microsoft-centric SMBs, this gets stronger. Azure Hybrid Benefit lets businesses that already own Windows Server or SQL Server licenses apply them toward cloud costs, cutting Azure VM costs by up to 40-55% compared to standard pay-as-you-go pricing. If your SMB already runs Microsoft 365 or Windows Server, that discount alone changes the ROI math on a Dynamics 365 migration. Security Concerns Are Backwards Now The instinct to keep ERP on-premises for “control” doesn’t hold up anymore. Modern cloud platforms often deliver stronger security, better uptime, and greater scalability than most SMBs can achieve running their own infrastructure. Built-in compliance frameworks and dedicated provider security teams cover ground most SMB IT teams can’t staff for — a real constraint for a five-person IT department juggling help desk tickets and server patching at the same time. Scalability Without the Hardware Gamble Legacy ERP forces a bet: buy enough server capacity for growth you haven’t hit yet, or underprovision and hit a wall mid-quarter. Cloud ERP removes that bet. Resources scale with actual transaction volume, seasonal demand, or headcount growth, with no hardware refresh cycle every three to five years. What This Means for a Dynamics 365 Decision For SMBs already in the Microsoft ecosystem, this isn’t a “should we move to the cloud” question anymore — it’s a “why are we still running Dynamics NAV or an on-prem F&O instance in 2026” question. The path to Dynamics 365 Business Central or Finance & Operations keeps the interface logic staff already know, while shifting cost structure, security posture, and scalability all at once. Still running ERP on-premises or on an older Dynamics NAV instance? Talk to Trident’s Dynamics 365 team about what a cloud migration looks like for your cost structure and timeline. FAQ Q: Is cloud ERP more secure than on-premises ERP for SMBs?A: Often yes — cloud providers invest in dedicated security teams and compliance frameworks most SMB IT departments can’t match in-house. Q: How much can SMBs save moving ERP to Azure?A: Businesses with existing Windows Server or SQL Server licenses can save 40-55% on Azure costs through Azure Hybrid Benefit. Q: What’s the cost of staying on legacy ERP systems?A: Organizations spent roughly 40% of their 2025 IT budgets just maintaining legacy systems — spend that delivers no new capability, only upkeep.

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New AI features connect and extend insights across the organization

Microsoft Dynamics CRM / Trident Information Systems

Today we’re unveiling new and enhanced artificial intelligence (AI) capabilities across Dynamics 365 applications, as well as a new solution to help project-centric services organizations transform their operations. Joining more than 400 new and updated features in the 2020 wave 1 release, these new capabilities expand a fast-growing set of applications powered by AI-driven insights, and further propel our vision to empower every organization to unify data across the business and use it to power personalized customer experiences and processes. Personalize customer experiences with unified data and unmatched time to insight Customers expect personalized and consistent experiences across every touchpoint. Many organizations, however, struggle to modernize the customer experience, often due to disconnected systems and data siloes that can’t deliver the full picture of the customer’s journey across websites, purchases, service calls, and mobile apps. Updates to Microsoft Dynamics 365 Customer Insights, Microsoft’s customer data platform (CDP), will help solve these issues. We’re introducing new first and third-party data connections to further enrich customer profiles that can be updated and activated in real-time, as well as enabling deeper insights with Microsoft Azure Synapse Analytics. Customer Insights will now uniquely enrich profiles with a combination of proprietary audience intelligence and 3rd party data sources such as demographics and interests, firmographics, market trends, and product and service usage data. Customers can also integrate Microsoft Forms Pro, the simple, powerful enterprise survey solution, to bring in the valuable voice of the customer across channels, allowing organizations to act on insights based on changing customer behavior and perception. All of this comes together to create a holistic, 360-degree view of a customer and to update those customer profiles and activities in real-time enabling organizations to know their customers and improve engagement. Customer Insights is built on a powerful and flexible platform that enables full extensibility. Organizations can derive deeper insights by using Azure Synapse Analytics, which combines customer data with enterprise and streaming data to improve data completeness, run high-speed analytical processing, and build custom machine learning models. This allows organizations to predict customer needs with insights and get guidance on the next best action to reduce churn and capitalize on revenue opportunities for the lifetime of a customer relationship. Organizations can act upon these insights in real-time across multiple destinations through prebuilt APIs to enable onsite clienteling, website personalization, dynamic marketing campaigns, and effective ad targeting. As part of the wave 1 release, we’re expanding the availability of Customer Insights to government cloud computing (GCC) environments helping to improve the citizen experiences essential to modern government. This means our government and public customers with higher compliance needs can now leverage Customer Insights to better understand and interact with citizens, empower employees, and transform cities at scale. Automate sales forecasting with predictive analytics In addition to expanded AI capabilities on our customer data platform, we’re extending the ability for sales professionals to forecast sales more accurately and introducing a new, unified engagement center for inside sales representatives. Available now for Dynamics 365 Sales and for Dynamics 365 Sales Insights, new manual and predictive forecasting capabilities empower sales organizations to have a better understanding of the pipeline, more accurately predict results, and gain visibility into future performance. The predictive forecasting capabilities enable the proactive decision-making needed to meet sales goals. Dynamics 365 does this by extracting patterns from customer relationship management (CRM) data, current and historical leads, won or lost opportunities, contacts, accounts, customer interactions such as emails and calls, and more data sources, and then projecting these patterns into the future. Best of all, anyone can access the insights, no data scientists or tech experts needed (a big change from some other forecasting systems). With a new engagement center designed to accelerate sales, we’re giving each inside seller a streamlined way to quickly triage, research, and engage new leads or opportunities. This provides them with their own prioritized work queue to take action on the highest priority leads and tasks based on built-in predictive scoring from Dynamics 365 Sales Insights and new, configurable sales cadences. The experience helps sellers stay in the context of Dynamics 365 and quickly move from one lead or opportunity to the next in an AI-prioritized work queue, without needing to switch views to take the next best action. Additional embedded AI capabilities offer sellers a path to a warm introduction, and guidance from the assistant. Transform the back office with AI-infused finance insights Not only are we expanding AI capabilities for customer and sales insights, we’re also bringing the power of AI to the finance department. Microsoft Dynamics 365 Finance Insights, coming to preview in May, accelerates your digital transformation by bringing the power of AI into your finance processes. As organizations look to make decisions rapidly, reduce risk, and focus on strategic initiatives, it’s critical to free finance from repetitive, time consuming and low value daily activities. Leveraging the power of AI, Finance Insights enables you to not only quickly understand and act on your company’s cash position, but also to take proactive action to improve it. Menial tasks are automated or removed, the barrier of developing or hiring AI-expertise is bypassed, and you’re left with insights to move your business forward. Our continued investment in expanding AI capabilities across Dynamics 365 helps your organization accelerate digital transformation initiatives while empowering employees with insights to drive better business outcomes every day. Optimize project success and profitability with the ability to drive operational excellence across service-centric organizations How people work today has changed, as has the way organizations run their business operations. Companies across all industries are innovating business models to support project-centric service offerings. And while business optimization has gotten easier with the rise of mobile and cloud technology, organizations continue to stitch together systems and struggle with managing data across disparate systems. These data silos within project-centric businesses and teams are negatively impacting business model transformation, customer acquisition, employee retention, project delivery, and business profitability. Today we’re announcing a new Dynamics 365 application that connects cross-functional project teams, providing the visibility, collaboration, and insight needed to drive the success of project-centric organizations. Microsoft Dynamics 365 Project Operations, which will be generally available on October 1,

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Plan migration of physical servers using Azure Migrate

Microsoft Azure Cloud Services / Trident Information Systems

[vc_row][vc_column][vc_column_text]Previously, Azure Migrate: Server Assessment only supported VMware and Hyper-V virtual machine assessments for migration to Azure. At Ignite 2019, we added physical server support for assessment features like Azure suitability analysis, migration cost planning, performance-based rightsizing, and application dependency analysis. You can now plan at-scale, assessing up to 35K physical servers in one Azure Migrate project. If you use VMware or Hyper-V as well, you can discover and assess both physical and virtual servers in the same project. You can create groups of servers, assess by group and refine the groups further using application dependency information. While this feature is in preview, the preview is covered by customer support and can be used for production workloads. Let us look at how the assessment helps you plan migration. Azure suitability analysis The assessment checks Azure support for each server discovered and determines whether the server can be migrated as-is to Azure. If incompatibilities are found, remediation guidance is automatically provided. You can customize your assessment by changing its properties, and recomputing the assessment. Among other customizations, you can choose a virtual machine series of your choice and specify the uptime of the workloads you will run in Azure. Cost estimation and sizing Assessment also provides detailed cost estimates. Performance-based rightsizing assessments can be used to optimize on cost; the performance data of your on-premise server is used to recommend a suitable Azure Virtual Machine and disk SKU. This helps to optimize on cost and right-size as you migrate servers that might be over-provisioned in your on-premise data center. You can apply subscription offers and Reserved Instance pricing on the cost estimates. Dependency analysis Once you have established cost estimates and migration readiness, you can plan your migration phases. Using the dependency analysis feature, you can understand which workloads are interdependent and need to be migrated together. This also helps ensure you do not leave critical elements behind on-premise. You can visualize the dependencies in a map or extract the dependency data in a tabular format. You can divide your servers into groups and refine the groups for migration by reviewing the dependencies. Assess your physical servers in four simple steps Create an Azure Migrate project and add the Server Assessment solution to the project. Set up the Azure Migrate appliance and start discovery of your server. To set up discovery, the server names or IP addresses are required. Each appliance supports discovery of 250 servers. You can set up more than one appliance if required. Once you have successfully set up discovery, create assessments and review the assessment reports. Use the application dependency analysis features to create and refine server groups to phase your migration. When you are ready to migrate the servers to Azure, you can use Server Migration to carry out the migration, get in touch with us our team will help you.[/vc_column_text][/vc_column][/vc_row]

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