Tag: Microsoft Azure

Microsoft Azure Cloud Services, Uncategorized

Advancing Azure service quality with artificial intelligence: AIOps

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.

 Infusing AI into cloud platform and DevOps – with AI at the center of Customers, Engineering, and Services.
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.

 

AI for Cloud: AI Ops and AI-Serving Platform showing example use cases in AI for Systems, AI for DevOps, and AI for Customers.

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.

AIOps methodologies: Data (Customer/System/DevOps), insights (Detect/Diagnose/Predict/Optimize), and actions (Mitigate/Avert future pain/Optimize usage config/Improve architecture & process).
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 high-quality services with speed. Below are a few examples of AI for DevOps solutions.

  • Incident management is an important aspect of cloud service management—identifying and mitigating rare but inevitable platform outages. A typical incident management procedure consists of multiple stages including detection, engagement, and mitigation stages. Time spent in each stage is used as a Key Performance Indicator (KPI) to measure and drive rapid issue resolution. KPIs include time to detect (TTD), time to engage (TTE), and time to mitigate (TTM).

 Incident management procedures including Time to Detect (TTD), Time to Engage (TTE), and Time to Mitigate (TTM).
Figure 4. Incident management procedures.

As shared in AIOps Innovations in Incident Management for Cloud Services at the AAAI-20 conference, we have developed AI-based solutions that enable engineers not only to detect issues early but also to identify the right team(s) to engage and therefore mitigate as quickly as possible. Tight integration into the platform enables end-to-end touchless mitigation for some scenarios, which considerably reduces customer impact and therefore improves the overall customer experience.

  • Anomaly Detection provides an end-to-end monitoring and anomaly detection solution for Azure IaaS. The detection solution targets a broad spectrum of anomaly patterns that includes not only generic patterns defined by thresholds, but also patterns which are typically more difficult to detect such as leaking patterns (for example, memory leaks) and emerging patterns (not a spike, but increasing with fluctuations over a longer term). Insights generated by the anomaly detection solutions are injected into the existing Azure DevOps platform and processes, for example, alerting through the telemetry platform, incident management platform, and, in some cases, triggering automated communications to impacted customers. This helps us detect issues as early as possible.

For an example that has already made its way into a customer-facing feature, Dynamic Threshold is an ML-based anomaly detection model. It is a feature of Azure Monitor used through the Azure portal or through the ARM API. Dynamic Threshold allows users to tune their detection sensitivity, including specifying how many violation points will trigger a monitoring alert.

  • Safe Deployment serves as an intelligent global “watchdog” for the safe rollout of Azure infrastructure components. We built a system, code name Gandalf, that analyzes temporal and spatial correlation to capture latent issues that happened hours or even days after the rollout. This helps to identify suspicious rollouts (during a sea of ongoing rollouts), which is common for Azure scenarios, and helps prevent the issue propagating and therefore prevents impact to additional customers.

AI for customers

To improve the Azure customer experience, we have been developing AI solutions to power the full lifecycle of customer management. For example, a decision support system has been developed to guide customers towards the best selection of support resources by leveraging the customer’s service selection and verbatim summary of the problem experienced. This helps shorten the time it takes to get customers and partners the right guidance and support that they need.

AI-serving platform

To achieve greater efficiencies in managing a global-scale cloud, we have been investing in building systems that support using AI to optimize cloud resource usage and therefore the customer experience. One example is Resource Central (RC), an AI-serving platform for Azure that we described in Communications of the ACM. It collects telemetry from Azure containers and servers, learns from their prior behaviors, and, when requested, produces predictions of their future behaviors. We are already using RC to predict many characteristics of Azure Compute workloads accurately, including resource procurement and allocation, all of which helps to improve system performance and efficiency.

Looking towards the future

We have shared our vision of AI infusion into the Azure platform and our DevOps processes and highlighted several solutions that are already in use to improve service quality across a range of areas. Look to us to share more details of our internal AI and ML solutions for even more intelligent cloud management in the future. We’re confident that these are the right investment solutions to improve our effectiveness and efficiency as a cloud provider, including improving the reliability and performance of the Azure platform itself.

 

Note blog reference: https://azure.microsoft.com/en-in/blog/advancing-azure-service-quality-with-artificial-intelligence-aiops/

Microsoft Azure Cloud Services

THE TOP 10 REASONS WHY SMBs SHOULD INVEST IN THE CLOUD

Small to medium-sized businesses (SMBs) are lagging behind their enterprise counterparts when it comes to cloud adoption. With the new year (and new decade) fast underway, a recent Microsoft study showed that more than 96% of enterprises are using the cloud, compared to only 78% for SMBs. And while the use of cloud-based productivity apps like Office 365 has steadily grown among these smaller companies, their continued reliance on legacy software in key business applications such as ERP or accounting is impeding them from competing effectively with today’s top players.

Given this situation, moving to the cloud should be an obvious priority for SMBs, but many myths and misconceptions still exist regarding the benefits of cloud technology. Below are the ten most crucial and game-changing benefits that SMBs have reported after investing in cloud solutions.

1 –  Greater profit and ROI

Simply put, companies that move to the cloud make more money. And not by a small percentage, either. SMBs that invest in the cloud report up to 25% growth in revenue and up to 2x the profits over those who don’t. Embracing the cloud is simply a better path to faster growth. Additionally, cloud deployments provide a greater return on investment (ROI) than traditional on-premises software projects, especially in ERP and CRM. For example, Nucleus Research determined that companies that use Microsoft Dynamics 365 see a return of $16.97 for every $1 spent. That’s well above the average for on-premise ERP and CRM applications.

2 – Lower costs and CapEx

Cloud subscription models eliminate up-front capital expenditures (CapEx) like the high cost of hardware and software licenses for projects like ERP software implementations. They also eliminate server and infrastructure setup, update, and maintenance fees—not to mention the resources saved on software upgrades, energy costs, and underutilized computing resources

3 – Unparalleled business flexibility

Cloud software allows small businesses to remain always-on regardless of location. In today’s mobile and cloud-first world, the ability to be productive on any phone, tablet, or laptop provides the flexibility required to quickly adapt to changing information and business needs. This means more agile operations and happier customers

4 – Faster IT innovation

The hassle and cost of routine IT maintenance tasks can be effectively offloaded to the cloud, enabling IT resources to focus on more strategic tasks like addressing problems, improving user experiences, fostering user adoption and best practices, and getting more value out of systems and processes

5 – Seamless, automatic software updates

With cloud computing, all software updates are handled automatically, so critical systems always have the latest functionality and security features. This effectively ensures that all the benefits of a vendor’s ongoing R&D nvestments are transferred to their customer’s business, without that business having to dedicate any time or additional resources

6 – Cost-effective scalability

SMBs need increased flexibility to grow and scale without hassle. With the cloud, as an SMB adds users, generates more transactions, or adds more data, services dynamically scale to manage the workload. This eliminates the need to pay for more hardware or maintenance to support business growth. As a bonus, SMBs only use the energy they need for their cloud apps. Since servers aren’t running idle waiting to be utilized, operations become more energy efficient, reducing the carbon footprint of the business.

7 – Improved collaboration and productivity

Digital, cloud-based workspaces offer the opportunity to collaborate more effectively and remove data silos to enable greater employee productivity. Additionally, cloud-based office productivity suites and all-in-one business management solutions possess integration capabilities that simply can’t be matched by on-premises software.

Cloud computing also allows teams to be productive, regardless of their location. This enables businesses to offer flexible working arrangements that create a healthier work/life balance and happier employees without sacrificing productivity.

8 – Seamless software integration

Cloud applications are typically compatible with Application Programming Interfaces (APIs) that simplify integration, while automation tools like Microsoft Flow facilitate stitching them together without any custom code. Data and systems can be connected like never before, resulting in new levels of speed and efficiency.

9 – Superior security and data protection

Small businesses are the most common victims of security breaches. In a recent study by ComScore, over 40% of small businesses were worried about data security before moving to the cloud. After making the switch, 94% of businesses reported security benefits they had been unable to achieve with their previous on-premises resources.

Furthermore, physical hardware protection has always been a challenge for SMBs. Laptops get lost or stolen all the time. In addition to the replacement costs, there is the even greater cost of losing important or sensitive data. When storing and backing up data in the cloud, however, data is available and protected regardless of what happens to personal devices.

10 – Increased competitiveness

Moving to the cloud gives SMBs access to enterprise-class technologies that were previously only available to the industry’s top players. With the cloud, any business can run on the exact same systems used by the largest, most sophisticated companies in the world, enabling them to innovate and act faster than competitors that manage on-premises legacy systems.

In conclusion, with cloud software now available that is purpose-built for SMBs to run their sales, marketing, service, accounting, operations, supply chain, and project management activities—all from a single, connected solution infused with AI and advanced analytics—there’s never been a better time for small and medium-sized businesses to make the move to the cloud.

Connect with our cloud expert for any query or requirement at –  info@tridentinfo.com

Microsoft Azure Cloud Services

Plan migration of physical servers using Azure Migrate

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.

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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.

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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.clip_image006

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.

Uncategorized

When do you know that your business needs a CRM software?

Customer Relationship Management is a process of managing or organizing prospects throughout the sales life cycle. The more the advancement in serving the clients, the more will be the payment stream for the Company. Trident’s CRM software solutions happen to be one of the most effective and efficient CRM software that could easily cut overhead costs and give highlights which demonstrate helpful to different business firms.

Many CRM software programs available have several features that can be used or restricted – so in effect a business can modify to make their own CRM software. However, utilizing CRM software gives various advantages to both organizations and customers and that is the reason each genuine business has implemented some of the other CRM applications.

So who can opt for Trident’s CRM software?

A simple response to that question would be “Any business with customers would utilize CRM“. However, in the real world, it is not just as simple as that. Choosing an appropriate CRM software solely depends upon the business process along with a range of profitable features. Below are the type of Businesses that could gain benefit from using Trident’s CRM software solutions.

1- The business that uses any form of Marketing: 

For any business that uses marketing campaigns to promote, sell or advertise their products or services in the market through various communication mediums such as phone, email, etc. Reaching to customers in bulk within a short period as well as recording the response on the go makes it more effective to manage the marketing process.

2- A business that deals with B2B and B2C Sales:

For any business that tends to cope up with the Customers to sell or cross-sell the products. Maintain relevant sales data such as documents, communication records, etc. Identify the process flow starting from Lead up to the deal gets closed.

3- A business that creates Quotations & Invoices: 

Built-in invoicing module to track the quotations and invoices generated against an opportunity. Efficiency to merge the billing details into the document which can further be mailed to the customer right from the CRM software without any need to switch between the applications.

4 – A business that deals in Customer Service: 

For any business that believes in increasing customer satisfaction by helping them in tracking as well as resolving the issues completely. Managing the cases within CRM as well as auto – escalations triggered on a timely basis not only guarantees better customer satisfaction but at the same helps the Management to track resource performance.

5- A business that wants to increase efficiency: 

Well-organized business results in better output which can be ultimately tracked with the help of various Reports, Dashboards, etc. Well-improved or say the advance level of features incorporating in CRM with the latest release of versions has enhanced the CRM which has ultimately proved beneficial for Business growth.

Thus using CRM software gives you numerous benefits to enrich both Business and Customer Relations by serving your customers better with stronger service and support. To know more about how can CRM software help you, you can check out our CRM software solution on https://www.tridentinfo.com/microsoft-dynamics-crm-software-solution/ and contact to our experts on https://www.tridentinfo.com/contact/.

Microsoft Azure Cloud Services

Why Microsoft Azure became Most Secured & Reliable Cloud Platform

In a recent survey, according to 28 percent of surveyed, Microsoft Azure was recognized as the most-used cloud platform, and the one most commonly to be bought or renewed— the largest percentage for any cloud computing provider. With results like this, it’s no surprise the number of businesses deeply invested in Azure keeps climbing.
If you are searching for more details about Azure, including how your business could profit from it and make the best use of its services, you are in the correct place. This comprehensive guide covers the basics and beyond, from “What is Microsoft Azure?

 How Microsoft Azure is different??

Whenever anyone questioned what Microsoft Azure is, the simplest explanation is this: Azure is a cloud computing system that can deliver everything that industry needs to digitally manage all or part of its computer processes — such as servers, storage, databases, networking, analytics and much more.

The only available option to organizations has generally been to create and run the specific hardware required for computation, comprising servers, disk storage, and Ethernet switches. However now, businesses can use a public cloud computing platform like Azure that buys and manages all of the equipment in computation. This means businesses can “lease” hardware resources efficiently, as required.

You can select and choose between Azure’s offerings to get the help you need to develop, deliver and manage software for your business processes. And since you’re leasing cloud infrastructure, you don’t have the expenses and shortfalls (like a dedicated IT department) involved with the actual infrastructure that goes with those operations. There are also many advantages above the cost and efficiency we will discuss further.

Today, many businesses choose to use a mix of cloud services and on-premise data centres. Some even using different cloud services platforms, based on their needs and concerns. So, don’t worry if you’re interested in making a drastic change to your computer environment or think like you’re lifelong committing to a single business supplier. You’ll want to concentrate rather on deciding the feasibility of cloud technology in parallel to the requirements of your business. Often the simplest way to get the process started is to build a hybrid of the cloud with an established on-premises system.

 Who makes use of Microsoft Azure adequately?

Firms of all scales take interest in the use of the public cloud platform and many prefer Microsoft Azure. In practice, 85 percent of Fortune 500 businesses are using Azure.

Azure appeals to several SMBs enterprises, too. One possible explanation behind this is that it enables SMBs to prevent the large expenditure of resources for facilities; it also eliminates the strain of improvements and maintenance, since they may not have readily available in-house experts to assist. And also because Azure makes it much easier to dynamically resize computing resources in moments, it gives greater versatility that enterprises simply would not have with a conventional on-premise cloud platform.

Microsoft Azure Storage

If you do cloud hosting, your information will not be processed on your servers anymore. Where exactly is it kept, then?

Microsoft intends Azure users ‘ physical data backups, meaning it will be placed at one or more of Microsoft’s 100 + data centres across the world. You can generally determine the country you would like to deposit your information in. Generally speaking, it is suggested that your information be placed near where your customers are. The further away from your consumers, your information is stored, the more connectivity issues they will encounter. Azure will hold and run multiple duplicates of your information, using the process known replication, to ensure that your data is easily accessible. You can choose how to manage duplication — for instance, do you want two duplicates at the same area, or multiple versions processed across multiple locations?

Security Standards of Microsoft Azure

All major public cloud services, especially Microsoft Azure, have priority over security. With the latest expansion of its Azure Security Center, Microsoft has been particularly concentrated on this topic with a total focus.

Azure Security Center is a monitoring tool that helps you to track security flaws and attacks to your Azure assets. This allows identify potentially malicious behavior throughout the hybrid cloud workloads using advanced analytics and suggests alternative remediation measures. Then you can assess those actions and take appropriate steps.

Data Encryption at Rest is also provided by Azure, which is the cryptographic encoding of data when it persists. This uses an encryption algorithm for swift encryption and decryption of vast amounts of data.

Now that Microsoft Azure has been implemented, we will shift on to the next phase — recognizing what Azure can do for you and your industry.

There are various reasons, in my experience, why businesses end up making the move of having Microsoft Azure. Azure has so many functionalities that describing all of them in a single blog post will be practically impossible. Below are six functionalities most important to many enterprises.

1) Disaster Recovery 

With Azure, your business gains a strong disaster recovery solution—one that also comes with a more affordable price tag than those associated with traditional computing environments. With Azure, you get access to:

  • Various data storage data centers that enable you to distribute a cloud service to various places around the world.
  • Azure Site Recovery, a service that helps guarantee that your critical business systems remain online by duplicating certain tasks from a host site to a secondary location during an interruption or disturbance.
  • Azure Traffic Manager, which in case of an area-specific failure streamlines traffic routing to multiple locations (determined by the user)
  • 3x Replication of information, ensuring all information you hold in Azure is replicated three stages, either to a single data center or to a second one.

2) Flexibility  

The extra capacity to allow high volume tasks needs to be developed into the device. This is particularly true for an on-premise data center that involves purchasing and managing a lot of extra hardware year-round. You can instantly increase your industrial base with the cloud, and then reduce it easily when you’re finished. Besides, you just charge for the services that you want and don’t waste money when they aren’t being utilized.

Azure has built-in-tools to track and evaluate your use of cloud services which can help you identify advantages from reducing or changing your computing environment.

3) Development Tools 

Azure is the perfect place for development! Since you’re only paying for the resources you need (known as utility computing), developers can easily build out all possible scenarios and run through testing without having to purchase new equipment. On top of that, developers gain immediate access to a variety of templates, services, and solutions, helping reduce the time it takes to bring innovations to the market.

Azure DevOps characteristics include:

  • Microsoft’s Visual Studio Team Services (free for up to five users), which is a collection of support that assist development team collaboration. This feature allows teams, among other things, to coordinate work objects and control source code.
  • Other conventional DevOps tools are easily integrated like Jenkins, Chef, Terraform, and Ansible.

4) Cost Efficiency 

One of Azure’s (or any public cloud platform) greatest benefits is its cost-efficiency. There are three main reasons why Azure is so feasible in cost terms:

  • You won’t be making the high initial expenditure associated with maintaining an on-premise data center. Cloud computing often reduces the need to buy additional production tools or increased downstream tasks. You won’t need to buy new equipment (since most computer hardware has an overall lifespan of two or three years).
  • You will eliminate the expenses of service calls and warranty renewals.

5) Easy Access to Resources 

Azure’s cloud computing service provides IT departments with exposure to an enormous number of resources they wouldn’t normally have with a data center on-premises. For example, many big firms aim to extend machine learning and automation to their analytics so that smart decision-making is possible

Take a glance for those characteristics of Azure to enhance your enterprise agility:

  • Azure Quick start Templates assist you to use numbers of Azure resources swiftly and consistently.
  • Azure Marketplace, the app store of Azure’s data centre applications, makes it easy to discover, analyse and deploy any cloud software you need. The Marketplace is one of my favorite parts of Azure because it’s easy to operate and has so many software options.
  • Azure Machine Learning Services and Azure AI Platform help you build artificial intelligence applications.And if you have any questions or you want fare quotation then we are just one click away, don’t hesitate to get in touch
Microsoft Azure Iot Services
Uncategorized

Why industry leaders are making the switch to Connected Field Service

Change across organizations, markets and industries is usually steady and predictable, with occasional jump starts that can spark innovation—typically fueled by the intersection of new technology with market demand. This phenomenon is happening right now in Field Service as competitive pressure forces organizations to rethink how to keep customers satisfied by ensuring 100 percent uptime and hyper-speed service delivery.

In the pursuit for exceptional customer experiences, field service has become a frontline for exceptional customer service—the direct link for competitive differentiation across nearly every industry, from retail to telecommunications, manufacturing to utilities. And that means a rapid move away from break-fix models to proactive and predictive service; from standard delivery times to express service all the time; and the ability for field staff to have a 360-degree view of customers to help sell the right set of solutions.

This new, rapidly-emerging model—connected field service—requires an investment in people and technology. A move from legacy systems to cloud-based services and solutions, Internet of Things (IoT) integration, mobile-connected field teams and Mixed Reality technologies. The question on the minds of many executive leaders is timing and ROI. What is the optimal service model? What technology stack will provide long-term returns? And how soon will the investment pay off?

Would you believe that an organization can see a return in as little as four months? That’s the timeframe for MacDonald Miller Facility Solutions, a professional services company revolutionizing facilities management using Microsoft Dynamics 365 for Field Service, and Microsoft Azure IoT services

By adopting the Microsoft Connected Field Service Solution, MacDonald-Miller Facility Solutions found that by taking a more proactive approach to customer care, they could save time, money, and maintain their status as a high-performing industry leader— despite the complications that naturally arise from juggling multiple interlocking and complicated systems.

This adoption would be a different kind of challenge and drastically change how the company tackled maintenance: fully integrating disparate systems into one easily accessible location and CRM for information, diagnostics, and repairs. Now, technicians would be armed with a full history when they were deployed, and with all the necessary tools to make a repair that day— sometimes even before the building maintenance knew it was needed. Integrating this solution of Microsoft Dynamics 365 with Azure IoT Hub into their already tech-savvy workflow allowed them to reduce the time-to-completion for service calls by nearly two weeks, increase profits for their customers, and save even more energy.

So far, it’s been a popular change with customers: The average customer sees between 10 and 20 percent energy savings.

Uncategorized

Are you managing your IoT devices’ software in the right way?

Enterprises today are part of a new world: a software-driven world. And while this new world has brought many great innovations, it is also forcing organizations in all industries to rethink their software development practices, to deliver new features and offerings faster. Those entities that will embrace and incorporate change most effectively, will be the winners. In a world where industry disruptors set new market conditions, new standards for product delivery and customer satisfaction, industry incumbents are faced with two options: either continue using their existing approaches and tools, with the risk of lagging behind the competition, or adapt to the “new normal” and deliver products and applications faster, with less resources.

As it pertains to the “new normal” DevOps standards, organizations now face many challenges such as cost overruns, software development projects that don’t scale in line with the enterprise growth, and increased market demands for speed. On top of that, the available outdated testing tools don’t offer visibility to ensure the right specifications get tested in the right time.

Lean and agile principles

So, how can you make sure your organization is ready to manage unexpected changes, and deal with any dependencies that you already have under the hood? How do you ensure a strong balance between the existing business and the new development? Many of you may already be familiar with lean and agile principles and have probably even tried applying them in smaller teams. But what we’ve seen so far in the market is that many of you struggle to apply these principles across the entire organization.

Lean and agile principles can help you reach your goals in today’s hyper-competitive world of digital product delivery. By becoming a lean and agile enterprise your organization will be able to adapt faster to the needs of the market by improving internal collaboration and communication. You will be able to learn in real-time from your clients to ensure that you are producing the prioritized set of features that drive economic value. By managing test labs, test planning, and ensuring the tight linkage between product demand and delivery, your organization will be able to reduce waste (time, effort, resources), while ensuring that your business strategy is aligned with the investment and development goals.

Client successes

Let’s have a look at a few examples of what some of the industry leaders have achieved, using lean and agile processes.

  • 50 percent reduction in time to market because of increased efficiency.
  • 80 percent reduction and software defects through earlier testing and easier detection of discrepancies.
  • 50 percent decrease in user time to acceptance of software releases.
  • 57 percent development cost reduction.

Nationwide achieved 50 percent improvement in code quality and 70 percent reduction in system downtime by applying lean principles to transform the software delivery lifecycle. Diagnostic Grifols, a world-leading healthcare enterprise headquartered in Barcelona Spain, increased the efficiency of development documentation by 30 percent—facilitating compliance, ensuring consistency of records across all product lines, and reducing operational costs.

 

Are you managing your IoT devices' software in the right way? Experience the benefits of collaboration and agile development.

 Photo: Experience the benefits of collaboration and agile development

Time to transform

It’s time to transform your organization into a lean and agile enterprise. It’s time to ensure that your firm can adjust to any market change, predict the unpredictable, keep costs low, deliver new features and offerings faster, and never lose a beat with your customers.

If you would like to learn more, let’s get connected! Our IBM solution enables companies to improve visibility and transparency across the product delivery lifecycle by providing a single source of truth. It also enables enterprises to define a process custom to each organization, and it ensures quality and compliance. All using lean and agile processes.

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