Cloud & Innovation in the High Tech Industry: The Co-relation that you must think of

The Covid19 pandemic has caused a lot of business disruptions and questioned the resiliency of high-tech companies all over the world. According to HBR (Harvard Business Review) Analytics report, around 81% of the high tech companies have fastened their cloud-adoption schedules due to the pandemic.

Also Read: COVID-19: A Random Pandemic or an Event to change how World Operates?

Boosted Cloud Adoption: What is the Cause?

The growing demand for contactless delivery for customers, their desire for over-customization, and 24×7 Support could have put high-tech firms in a fix. But a significant number of such companies have opted for the cloud adoption and the rest have considered revising their pre-pandemic cloud approach to conquer the challenges in this crisis time.

While diving into cloud-enabled change for added value and smashing into competence and gains on operational cost, high-tech enterprises have realized increased agility and productivity in a remote culture.

Cloud innovation has proven a key differentiator in their market segment when it comes to confirming ever accessibility of an on-premise digital setup. It is no longer a trend but rather, an alternative. So, what factors will keep them ahead in this game, and how can even CIOs and CTOs think of quickly adding to their enterprise growth with cloud-led innovation?

Also Read: Brand Identity Guide for CIOs – 3 Aspects that you never miss out

Cloud – Point Vortex for Digital Transformation

Cloud technology was recognized as a key driving force for the high-tech industry almost two decades ago. Since the industry is now hit by a row of social, technological, and economic uncertainties due to changed customer behaviors and mode of operation, the cloud platform has become an inseparable component of high-Tech companies.

Top Reasons for Cloud Adoption in the High Tech Industry

By now, many high-tech businesses are seeing good at following the cloud technology option. Moreover, they have started using this technology to efficiently manage their organizational data, ensure better connectivity, security, and effortlessly scale their IT infrastructure as per needs. 

  • Robust and Effective Data Flow/Management

As uninterrupted data delivery continues to be the main concern in the post-Covid era, the cloud has caught the attention of many high-tech firms. It can be integrated with data-driven applications configured on-site to support the smooth flow of data from highly structured resources at better speeds and in huge volumes.

Cloud features among inventive products programmed with agile, scalable, and responsive features. High-tech businesses often feel the pressure to consider pre-analyzed insights gathered from huge data lakes around them, passing on value to the end-user or failing miserably. Hence, a cloud-oriented strategy is crucial for effective data management than any traditional data center on-site.

  • Cloud-managed security services

The cloud shares the in-house workload of enterprises and supports multi-tier/user access to different levels of data stored while keeping away the possibility of cyber-attacks and data breaches.

The cloud assures to protect data and safeguards the identity of the user by following modern-age security architectures. Client/terminal authentication, access control (regulate/monitor permissions), encryption, data anonymization, integrity checking, serialization, and data masking are all part of cloud deployment.

  • Cloud scalability: Upscale/downscale on demand

Apart from being simple, secure, and quick to connect, scalability (upward/downward) is one of the wonderful qualities of the cloud. This allows enterprises to balance their workloads by scaling/adjusting their IT resources and network bandwidth based on demand (during peak/ open hrs). As a result, enterprises can run efficiently without any waste of money and infrastructure.

Options and Use of Cloud in Enterprise Product Innovation

Enterprises are migrating to the cloud mainly for scalability, agility, quick deployment, and cost-savings on IT operations. The use of the cloud also assists product development and innovation in the modern digital world if done right. The most common use cases of cloud in high tech enterprises are as follows:

  • Rapid prototyping of new products/services and easily roll them out to the market at reduced costs.
  • Power of crafting highly customized user journeys with cloud-managed data strategy and toolset that are cross-integrated.
  • Embracing the goal of standardization, modularity, and technological advancement (AI and IoT) in biopharma, manufacturing, and many more industries.

Also Read: Rehost, Replatform, and Refactor – Which Application Migration Strategy to Choose and When?

Financial Advantages of a Cloud Subscription Service

The cloud is the best way for high-tech firms to build their revenues and move toward subscription-based plans, where they will consume more technology but pay less for accessing, even without purchasing or owning it.

An increased number of high-tech companies are now exploring the cost-effective XaaS (anything-as-a-service) subscription model. It is projected to grow at a 25% CAGR rate up to 2027 given the changed customer (B2C and B2B) behavior. They show an increased preference to be in charge of their expenditure across different areas. This is the reason behind the popularity of XaaS subscription models offered as a monthly or yearly plan.

These subscription models are creating the possibilities of bringing all technical tools and capabilities under one roof in B2B/ B2C organizations and spreading out their wings. High-tech businesses are go-getting to subscribe to XaaS models to stop revenue loss by automatically restricting pay to a use basis. Eventually, they will be able to bring more reliability to revenue prediction and build a roadmap for guaranteed success with the help of the cloud.

Choice and Priority for Cloud Investment in Organizations

CIOs and CTOs should not often get caught between buying vs. building decisions. Nor do they have to decide cloud adoption based on IT infrastructure alone as it may create issues regarding compliance, implementation, network security, and scalability risk.

The best value through cloud adoption comes from improved product innovation, agility and resilience brought to the high tech business at a persistent rate.

Most of the time, this demands to focus on cloud adoption on combining reconfiguration, reusability, and re-hosting so investment in phased modernization can be quickly realized across the enterprise.

This cloud-based approach when chosen by CIOs based on their exact business process can help them point out where the maximum benefits can be earned, without analyzing each application separately for possible cost-efficiency.

Cloud-enabled Hybrid/Remote Work Culture

Cloud adopting high-tech organizations have enjoyed greater growth and built flexible workplaces throughout the pandemic. Hybrid working models have been emerging as a new trend along with remote connectivity (work on the go) across geographical boundaries.

High tech organizations will no longer be limited to on-sites as employees can access resources from anywhere; the pandemic brought lockdown along with it, but cloud adoption shot to fame in helping businesses run from anywhere. This is evident in the rising number of cloud service providers who have extended technical support to businesses in creating, innovating, collaborating, and building hybrid/remote culture, with no shutdown/slow down.

The following are the added advantages of cloud usage in hybrid/ remote work culture:

  • Cloud ensures smooth connectivity and access:
  • Decrease in IT infrastructure/operation costs:
  • Manage better compliance and security 

Precautions that you Must Take while Adopting Cloud

  • A Shift from Optional to Important

Cloud strategy is a must-have component the high tech industry can now think of growing without. It supports remote operations, smooth and immediate expansion, and reduces overhead costs if an enterprise cares to switch to the cloud with proper planning and execution.

  • Losing Profit Margin on the Lift-and-Shift Cloud Migration Approach

A lift-and-shift is the easiest approach enterprises could think of moving their data and applications to the cloud platform. It requires no or little changes in the settings and keeps the data as it is which kills value. CIOs should work on a strategic roadmap for cloud adoption with the right mix of modernization factors – such as re-platforming, refactoring, rehosting, redesigning, and modularization. It will add to their profit and sustainability.

The Crux: High Tech Industry is Up For a Data-driven Future 

The future of the high industry is growth-oriented. When chosen and deployed correctly, cloud technology can stimulate the data-driven culture of high-tech businesses, which means they would make tactical decisions with proper data analysis and management. Their consumers and customers will have better services, products, and experiences through smart associations and quick reach in the cloud.

Willing to take a step towards Cloud and transform your business infrastructure?

Stridely is readily available to help. Let’s schedule a quick meeting and get started.







Oracle Cloud – The Unskippable Necessity of Future-ready Businesses

Businesses, which need to become future-proof and always remain ahead of time, need to adopt cloud computing as this one move make them future-ready in many aspects. No wonder why cloud computing market is going to touch the mark of $161.39 billion by 2027.

Out of all the available cloud computing options, Oracle Cloud has managed to gain a special stature. Why it is so? What makes it so special? Is it a wise choice to make? Will it be able to leverage the growth as you expected?

Well, you’ll have answers to all these questions by the time you reach the end of the post. So, let’s begin.

A Bit of Oracle Cloud Meaning

Oracle Cloud is a gen-next cloud infrastructure built for the future. It’s basically an extensive platform, featuring multiple cloud services, allowing end-users to build applications are per the need of the hour. The platform is highly secure, scalable, and performance-optimized.

Also Read: Paving your Ways to Smoother Oracle Implementation 

Oracle Cloud may not be as seasoned as AWS, it has still managed to gain adequate exposure and customer base. It’s trying to aim higher and is expected to touch the mark of $1 trillion annually by 2026.

The Oracle Cloud has 4 categories in service delivery:

  1. Oracle Cloud Infrastructure (IaaS)

This product is designed to give full freedom to the customers in creating & operating the application & administration as per Oracle’s facilitated conditions.

  1. Oracle Cloud Applications (SaaS)

Cloud-based applications, offered by Oracle Cloud SaaS, offer a wide range of industry-explicit products and services. The customers are allowed to use a wide range of deployment options to ensure standardized functionality.

  1. Oracle Cloud Platform (PaaS)

With Oracle Cloud PaaS, the end-user is allowed to enjoy the capacity and functionality to deploy, assemble, and include the application of their choice.

  1. Oracle Data Cloud (DaaS)

This one is a game-changer as it leveraged external data in a way that businesses can use it for growth. It is one using the Oracle ID Graph assistance and rendering a better customer understanding.

Read More: Cloud Migration from JDE to Oracle Cloud – Why and how?

Capabilities of Oracle Cloud 

Cloud computing needs can be of various kinds for an organization and Oracle Cloud understood this well in advance. This is why it combined assorted IaaS, PaaS, SaaS, and DaaS solutions to deliver an array of services & products.

  • App development- Oracle Cloud lets the users create apps of their choice that covers container, blockchain, database, mobile, Java, IoT, and all other kinds of apps.
  • Cloud analytics used for Big Data, data visualization, business intelligence, and other cloud services.
  • Cloud for customers
  • Cloud infrastructure
  • Content and experience management
  • Data integration and management
  • Data & asset management
  • Cloud security solutions
  • Data management
  • Enterprise integration
  • Data integration

What Makes Oracle a Better Choice?

Oracle Cloud is not the only market player in the cloud computing industry. But, there are some of its features and facilities that make it stand out in the crowds.

Oracle Cloud delivers its services on the customers’ terms. Yes, you read it right. While some of the key cloud computing providers offer pre-made subscriptions, Oracle Cloud lets the customer decide the path. In short, customization is at its best form in Oracle Cloud.

Additionally, it’s built for the future. Time and again, the Oracle officials have made it public that their technology is 20 years ahead of AWS. Well, we can’t commit to that. But, we can surely tell you one thing that it makes you future-ready.

Recently, its Storage Cloud has got an expansion and now it offers three kinds of additional services, Oracle Database Backup. Archive Storage, and Object Storage. All these storage options are designed to after keeping the future needs of Enterprise Applications.

Read More: Migration from Oracle Apps to Oracle Fusion – Why and How?

Perks That a Oracle Cloud Customer Might Enjoy 

Oracle Cloud is going to be the best investment for a business as it comes with a wide range of advantages. Have a look at them:

  • Enjoy a highly integrated technology stack

With Oracle Cloud, the vendor offers highly streamlined cloud-based business processes by offering facilities like apps, middleware, and database as a unified solution. In short, whatever a business needs to operate or staying functional is covered in one solution. There is no need to look any further. The icing of the cake is a user-friendly environment because of this, the end-user is going to enjoy all of its offerings without any hassles or hurdles.

  • Technology is updated 

The core of Oracle Cloud is based on continual upgrades and cutting-edge technology.

Especially, its high-capacity apps are packed with best-of-breed technology. It’s faster and more optimized than many of its competitors. Those who have used Oracle Cloud already swear by its optimized technology.

  • Customization is easier than ever 

As quoted above, Oracle Cloud is a customer-centric service and allows end-user to mold the service delivery as per the need of the hour. Such high–end customization is rarely witnessed. Because of this impressive customization, one can make most of the service availed.

  • DaaS is one of its kind 

The DaaS offering of Oracle Cloud is indeed an exceptional offering as it perfectly bridges the existing gap between PaaS and IaaS. For beginners, DaaS or Data as a Service is one of the most known breakthrough services of Oracle, using which the vendor has strengthened out its grip on the cloud service. In this service, the organizational data, collected from heterogeneous resources, is going to be used/transformed in a way that the sales team, marketers, and research analysis team are going to make some growth-driven decisions.

  • End-users are allowed to adjust the storage settings    

With Oracle Cloud, one has the freedom to enjoy adjustable storage settings. One can set the limit anywhere between 1GB of data and 2 TB each. Users are allowed to connect all the storage together as well.

  • Gain control over network 

Oracle Cloud is integrated well with Microsoft’s AD and Lightweight Directory Access Protocol to grant full control over the network. In fact, users are also allowed to set up the firewall of their choice, a right new set of security rules, and override the default settings.

Network access can be deleted, disabled, and even block as per the choice of the end-user.

  • Stay safe with an in-built VPN 

Safe and secure browsing is now possible easily as a network from Oracle is offered with a site-to-site VPN and allowed end-users to set up multiple tunnels. Not only this; end-users are allowed to add a wide range of IP addresses manually. The Oracle Cloud Network Service also promises a speedy connection between Oracle Server and others user’s networks.

Limitations of Oracle Cloud 

From the above text, it’s clear that Oracle Cloud is going a commendable job in simplifying cloud computing for its customers and we admit openly that it has succeeded to a great extent. However, this is not always a great deal to make as there are few limitations, which should be in your knowledge before you make up your mind.

  • Keep in mind that there are no keyboard shortcut keys offered with Oracle cloud. So, you’ll always have to take the long route.
  • If you’re fond of highly visually appealing layouts then get ready to face disappointment as Oracle cloud’s layout is not as appealing as AWS or Microsoft Azure.
  • Oracle Cloud also lacks at offering integration. Not many third-party software integrations are offered. However, the key ones are available.
  • If you’re thinking that you’ll get ample self-help material, while using Oracle cloud, then keep your expectations low as there are no many tutorials available.
  • Some of its customers have lodged complaints about its incompetency with the .NET framework.

But, if we weigh down both the pros and cons, the pros are definitely more impressive and are enough to overlook the cons.

So, you can easily put your bet on it.

Oracle Cloud Adoption Strategies 

If you have made up your mind to make Oracle Cloud a part of your ecosystem then keep in mind that it’s not going to be an easy job. Migrating the entire existing IT infrastructure to the cloud is indeed a tedious job. To make sure things go smooth, here are some key tips to adopt.

  • Always keep a backup of the data before initiating the migration process as no matter how diligently the migration is involved, some data loss is bound to happen. Thus, taking up a backup ensures that you don’t lose something crucial.
  • Sort the data and eliminate the unnecessary ones. It’s our habit to store everything in a hope that it will come into use in the future. But, a few things/data/app/documents are only for one-time use. There is no point in investing efforts in such items. So, put some effort into sorting out the things.
  • Make sure security is not compromised during the migration. It’s better to put access restrictions to achieve maximum peace of mind.
  • Always hire a seasoned Oracle Cloud expert for the migration. It’s not a novice’s job and should be handled with perfection only. So, do a bit of market research and hunt down an ideal Oracle Cloud consultant.


Moving to the cloud is like hitting many birds with one stone as it saves IT cost, empowers the team, makes remote work possible, and grants great operational freedom. Oracle Cloud is a great choice to make as it’s an entirely customer-centric cloud infrastructure.

While there are tons of advantages, one can’t simply ignore the fact that no product is perfect and Oracle Cloud also comes with its fair share of disadvantages. So, make sure you know them beforehand.

To curb the migration hassles and ensure 100% accuracy and resilience in the Oracle migration, it’s wise to hand over the job to the experts’ hands. Stridely’s decade-long experience can be of great help for you in this regard. Using our expertise, one can have a good night’s sleep while Oracle migration is happening.

Interested in discussing things further? Contact us.


SAP S/4HANA with Intelligent RPA: Advantageous are Uncountable!

SAP S/4 HANA is already going a great job in streamlining business processes and with the launch of RPA, it has become more competent and powerful as vendors are going to uses a set of prebuilt bots for tons of tasks.

RPA or Robotic process automation is already making high waves and has been welcomed by industries of all sorts with open arms. What wonders it can do for an SAP S/4HANA user or how it empowers SAP S/4HANA are some of the key topics discussed extensively in this post.

Also Read: Digital Transformation and SAP S/4 HANA

So if want to include RPA in your SAP S/4HANA subscriptions, or have already done that, read this post to know about the pro-term and long-term benefits of doing so.

SAP S/4HANA & RPA- A Bit of History  

Seeing the rise in the popularity of RPA, it was hard to ignore it by SAP and it started working on Intelligent RPA technology at the beginning of 2018. To gain adequate expertise and excellence, required for RPA development, SAP acquired Contextor in November 2018.

After tons of hits & trials, SAP launched the first version of Intelligent RPA in May 2019. Gladly, the hard work invested in RPA development paid off well and SAP became the global RPA leader within two years.

Also Read: RPA is like the Band-aid Feature for the Future

It’s referred to as iRPA as well and offers a wide range of intelligent bots to automate repetitive yet crucial business operations & processes. Its key aim is to automate SAP’s business technology platforms, including SAP S/4HANA. Presently, SAP Intelligent RPA 2.0 is on the floor and is winning many hearts because of few key traits.

  • It comes with impressive integration for SAP applications

There is a simplified UI integration for SAP Fiori and SAP GUI. Using a couple of third-party integration for impressive automated data collection. Native integration with tools like SAP Workflow Management, SAP Ruum& Spotlight, and technology connectors makes things smoother than ever.

  • It is less demanding at coding front 

SAP Intelligent RPA has gained an edge over other RPAs because of its low-code or no-code requirement. Yes, you read it right. It’s not so demanding at this front. It’s so easy to use that citizen developers can also perform the bot development job like a pro. It features a drag-and-drop editor, in-built workflow builder, event-based capturing facility, amazing de-bugger, and detailed document and community-based support. So, you don’t have to be an expert to try this.

  • Instant start enablement 

SAP Intelligent RPA understands what it means to be proactive and leaves no stone unturned to grant quick start enablement facility to its users. To make sure that the bot development process is less time-consuming, SAP offers a dedicated RPA store, a wide range of in-built bot templates for SAP S/4HANA and ECC, cross lab content, attended/unattended mode, and bundled offering. So, there won’t be any long waiting time.

Benefits of Using SAP Intelligent RAP for S/4HANA Users 

While SAP Intelligent RPA is going to make a difference in each product module and type, its offerings in S/4HANA are definitely on the higher side. Have a look at the below-mentioned text and you’ll have a better understanding of what we’re trying to convey:

Also Read: 10+ RPA and Machine Learning Use Cases that might Interest your Enterprise

  • Automate best practices 

SAP Intelligent RPA allows integration of pre-built RPA components into the S/4HANA application of your choice and enjoys speedy RPA automation. Presently, more than 100 pre-built automation are offered for SAP S/4HANA to make things go smooth.

The great thing about these pre-configured RPA components is that they all are designed to enforce the industry’s best practices, observed by SAP.

With SAP Intelligent RPA, it’s easier to develop bots as guided assistance and a set of dependencies are provided. During the bot development process, one is even allowed to attach a trigger mechanism in case of attended or scheduled autonomous bots. To empower the bots and make them a bit more prudent, SAP Intelligent RAP allows users to apply APIs and machine-learning of their choice.

  • Comprehensive repository for bot skills and analytics

SAP Intelligent RPA comes with a detailed repository for purposes like instant tapping into a container of automation steps, use available RPA bots as per the need of the hours, and quick analysis of bot-operations statistics.

  • Access quality prebuilt bots for instance assistance  

SAP S/4HANA migration & transition is going to be effortless there are more than 200 pre-configured content and predefined bots that are ready to help instantly. Full freedom is granted to the end-user when it comes to managing the bots. Customers can use the APIs and metadata as per their choice. This kind of freedom support 100% customization to empower your SAP S/4 HANA deployment which is highly impressive manner!

Success Case: SAP S/4 HANA Migration : Utilities Gain Flexibility And Optimization With Operational Excellence

  • Application reusing at zero hassle

SAP offers a wide range of development tools with intelligent RPA that allows this technology to get integrated effortlessly with SAP applications. As the UI’s individual components are easy to address from the studio library, automation can be done over a single drag-and-drop. In the case of changes that happened to the target application, the RPA team can make do necessary changes in the Intelligent RPA and make the template capable to reuse easily. It’s a great strength of SAP’s bot development.

  • Easy workflow monitoring in SAP S4/HANA 

There is hardly any business that which doesn’t face workflow failure. However, when ignored for a longer time, continual workflow failure can have a huge negative impact on the business processes and can exert huge pressure on the team to spot the errors, fixes them, and restart the workflow.

SAP Intelligent RPA ensures that workflow failures are not happening in the first place. And, even if anything occurs, it can be spotted in an early stage and fix it instantly.

Without the completion of raising a support ticket for the workflow failure, it can do workflow management regularly.

  • Reduce operational cost 

This one is obvious. When tons of tasks are handled by bots, one can operate with less workforce. There is no need to invest in the hiring and training process of new employees.

Real-time use cases of SAP Intelligent RPA 

No matter how hard we try, it’s not easy to understand the use cases of SAP Intelligent RPA unless the few examples are not explained or given. So, we’re here to explain this as well:

  • SAP Intelligent RAP in Supply Chain Management 

Automation of production, purchase, and delivery order- Using the RPA bots, one can reduce the human intervention from a couple of tasks. For instance, a bot can easily read the information mentioned in a business e-mail or any other source, generate a purchase order as per the details provided, and send an email to the concerned departments without any delays and errors.

Additionally, the bot can issue a good purchase order, based upon the existing inventory and future requirements. The high-end AI is so good in the assessment that there is no scope of errors.

  • SAP Intelligent RPA In Accounts Payable

By using the SAP Intelligent RPA, one can increase the data accuracy in the account payable and can increase the ROI, process speed, and achieve maximum performance.

It can easily communicate with the vendors, update the master database, delete or update the vendor details, and can even automate the invoicing process. Such technology is so high-end that the data, mentioned in non-digital formats like scanned PDF files or images, can also be captured.

  • SAP Intelligent RPA In Reports Generation

Report generation is one of the most complex yet essential tasks and SAP Intelligent RPA is here to help as well. Report generation can be automated from the basic level. The great thing is that the process is strictly rule-based. So, the odds of errors are insignificant. All you need to do is, logging into SAP, enter the data, click on the ‘generate’ button, and send the report via email to the concerned department.

Is It Always A Good Deal?

Even if SAP Intelligent RPA is going a great job and is ruling the world of robotic automation, it has some limitations.

SAP Intelligent RPA comes with a transaction-based license model. This kind of model is too exhaustive and demanding as it demands internal governance and control, without fail. Additionally, incidences of occurring unexpected & unplanned costs also happen at higher rates.

One can also experience the limited usability of this tool because of its all cloud-based deployment. It can be accessed via a browser and is of no use when there is limited network connectivity.

If a quick offering comparison between the SAP Intelligent RPA and other RPAs is done, definitely SAP Intelligent RPA will lose the race as it features less prepackaged activities than its counterparts. It’s a major reason behind SAP Intelligent RPA customers’ switching to others.

What’s The Way Out?

This is not a second opinion that SAP Intelligent RPA is going to be a great addition to one’s business process tools & technology. But, one can’t simply turn a blind eye towards the key drawbacks. So, how can things turn favorable for you?

Well, the only way to reap the maximum SAP Intelligent RPA benefits at least possible risks is to hire a qualified SAP S/4HANA consultant company. Using its expertise, one can easily face as few as possible limitations of SAP Intelligent RPA.


Guide to Building AI solutions with Microsoft AI Builder

These days, organizations around the globe are experiencing unmatched levels of complexity, in terms of diverse supply chains, growing customer expectations, and expanding digital demands. And to grow and succeed in this fast-paced world, organizations are looking for new strategies and courses of action to generate business value.

Data analytics has turned out to be a necessity for the decision-making and success of the organization. And in this endeavor, AI is playing an instrumental role in driving business insights, curtailing the probability of human error, and enhancing comprehensive business efficiency.

Also Read: How Artificial Intelligence Is Improving the Business Process Automation Thoroughly?

AI applies advanced analysis and logic-based techniques and interprets in an hour what would otherwise take us a lifespan. It has shown immense potential to change the way organizations work and witnessed unprecedented growth that highlights its credibility. However, AI is majorly practiced by technical staff only and is not handy to everyone within an organization. To fill this gap Microsoft launched AI Builder.

Microsoft AI Builder

Since intelligence is limited, relatively few organizations have data scientists or pro developers on hand. By means of its Power Platform and Common Data Service, Microsoft is assisting such businesses to analyze their data. It aims to place AI solutions within the reach of businesses, with no-code capabilities.

Microsoft AI Builder allocates a state of the art competence for various power platforms and assists in the improvement of business processes. It empowers organizations to use AI to automate processes and extract judgment from the data.

Microsoft AI Builder provides capabilities to Microsoft Power Platform, to provide AI models, designed to optimize the business processes. It is a low code platform that reduces the development time and cost significantly and also supports almost all databases. The tool comes with a pre-built model that is ready to use for various typical business scenarios. Nevertheless, it provides custom models also, tailored to specific business needs.

Also Read: Streamline processes& tasks to boost your business productivity, with Microsoft Power Automate!

It confines to the PowerApps Studio and the Microsoft Flow. Now, you can conveniently affix intelligence to your apps without coding. For example, in Power Automate, you can generate a flow to automate document processing.

Also Read: All About Power Apps Ideas, Microsoft’s latest AI-powered assistant to let people code using natural language!

AI model types

Microsoft AI Builder comes preloaded with several model types, suited to different business scenarios. There are two different model types available in Microsoft AI Builder:

●  Prebuilt AI builder models

The prebuilt models available in the Microsoft AI Builder assist in adding intelligence to apps and flows, without gathering data. You can build, train, and publish your own AI models as per your business needs. You just have to supply the inputs to the model and it will give output. However, you cannot create any type of alterations or modifications in the output. Currently, the following prebuilt AI models are available in Microsoft AI Builder:

  • Business card reader
  • Text translation
  • Category classification
  • Language detection
  • ID reader

●  Custom AI Builder models

The custom models available in the Microsoft AI Builder can be chosen based on business needs and then trained by providing the data. These custom models are appropriate for applications where the data is distinctive to your business. Currently, the following custom AI models are available in Microsoft AI Builder:

  • Prediction
  • Category classification
  • Entity extraction
  • Object detection
  • Form processing

Build AI solutions for your business

Now with the help of Microsoft AI Builder, you can effortlessly build customized AI solutions for your business. Here we have come up with a comprehensive guide to help you add AI to your business.

Step 1: Choose the AI Builder model type

Microsoft AI Builder comes with various sets of AI solutions. You can choose the model type, based on your business needs.

Step 2: Supply data

After selecting an AI Builder model, best suited to your business needs, it’s time to furnish data.

Step 3: Customize AI Model

Now, you can customize the selected AI Builder model based on requirements, to optimize how your AI performs. You may schedule and filter data based on your needs.

Step 4: Train AI Model

Training the AI model is an automatic process. The AI Builder will automatically guide the AI model to find a solution to business problems. The AI model can also produce perceptions like the result of a prediction or listing the objects spotted in an image.

Step 5: Use results

Now you can use the results from your AI model across all Microsoft Power Platforms and can generate solutions to your business needs.

Key capabilities of Microsoft AI Builder

  • AI Builder extends artificial intelligence solutions to everyone. It offers a low code experience to create AI in business apps and processes. This adds scalability, automation, and additional efficiency to business processes.
  • The business card reader model helps to extract complete information from the business cards.
  • Binary classification predicts future outcomes using historical data.
  • The form processing model assists in extracting text from forms and gives accurate and customized results.
  • The text classification model helps businesses to automatically tag new text. It can easily recognize the patterns within language, tagging and classifying the contents. Now the text entries can be tagged and can be used for routing customer requests, responding to prospect, sentiment analysis, and spam detection. Moreover based on your previously labeled text items, AI Builder classifies unstructured data into specific categories.
  • The object detection model helps to identify, count and locate objects in an image. It can be further used to expedite business processes.
  • The text recognition model automatically processes text from images. It identifies and reads text within photographs or scanned documents, using optical character recognition (OCR).
  • By integrating AI Builder with the Power Platform, you can translate text to over 60 languages. However, this pre-built model is currently available in Power Automate This helps businesses to communicate more effectively with customers on social media and engage them on email.

The power of Microsoft AI Builder

AI offers solutions for concerns regarding the level of complexity combined with uncertainty. Microsoft AI Builder brings a user-friendly approach to AI development and is capable of improving business performance through AI insights.

The no-code interface of AI Builders makes it convenient for anyone to create and train their own AI models. It quickly simplifies tasks and speeds up the business processes. Now you can get straight to productivity with various prebuilt AI models.

Bring AI Builder to your business, and you will be surprised by the whole new world of AI. For any kind of consulting or services related to this Microsoft solution, contact Stridely Solutions. Our experts are highly experienced and skilled in deploying cutting-edge Microsoft Technologies for enterprises.



The New Feature in SAP S/4HANA Capacity Planning or Management, how it works and how can it benefit your Enterprise?

There are tons of things and processes which can be streamlined to their maximum extent by using the SAP S/4HANA module and capacity management is amongst them. Seeing the changing needs of this domain, the SAP’s Enterprise Resource Planning module has gone through minor changes and got the addition of few features. What are they? Will they make any difference?

Also Read: Digital Transformation and SAP S/4 HANA 

We’re sure that these questions will be popping up in you mind. This is why we’re going to spill every bean related to this topic.

Capacity Management Basics

For organizations involved in product manufacturing, it’s more than crucial to deliver the orders as per the promised date. To make this happen, one must do plan in advance and ensure enough capacity resources are available in abundance and requirements are met as per customers’ requirements.

Success Case: SAP S/4 HANA Implementation on Cloud

Following the production schedule properly while leveraging from the available capacity is a quite a tough task for a capacity planner or manager. All these operational bottlenecks can be handled with full perfection using SAP S/4HANA. There is a dedicated module for capacity planning in this module.

SAP S4/HANA Offering for Capacity Planning and Management  

In 2019, SAP introduced Predictive Material and Resource Planning (pMRP) functionality with the sole goal of streamlining the process of identifying the capacity planning issues and fabricate remedial solutions.

This function is offered for both the on-cloud and on-premise devolvement modules of SAP. In each case, it renders equally good perks and benefits. The primary function of this feature is to analyze the material and resource availability within an organization and use the statistic to optimize the production processing.

Also Read: S/4HANA Upgrade (Technical, Functional upgrade and Fiori upgrade)

For effective delivery of processes and facilities, SAP offers Fiori apps for capacity requirement planning that includes ‘Capacity scheduling board’, ‘Manage work center capacity’, and ‘Capacity scheduling table’. Known to offer highly intuitive UI, the Fiori app can handle key capacity planning actions like capacity evaluation, leveling, and capacity scheduling.

Capacity evaluations let the user compare requirements with current capacities. Capacity leveling refers to dispatching operations. In a given simulation, dispatching of operations is done with the sole motive to resolve the capacity issues when capacity is adequate.

There are three versions of Fiori apps for effective production scheduling and capacity planning.

Here is a quick overview of these 3 Fiori app versions:

  1. Capacity scheduling board

Using this Fiori app, the scheduler can easily view the work centers with the schedules on a chart for a particular period. Search results can be filtered based on factors like plant details, MRP area, scheduling status, product number, and many more. The app also allows the planner to select and operation in the pacemaker work center and to start or end the operations as per the direction set for the operations rescheduling.

  1. Capacity scheduling table

This table makes it easier to get access to series of a features that can get along well with the planned and Production order / Process orders as per the demand of the industry types. Planner, using this app, is allowed to select the source of the supply and the work center for order dispatching.

  1. Manage work center capacity Application

This app version allows the planner to visualize the real-time capacity status based on a bucket of days/weeks/hours for multiple kinds of orders like Planned orders, Production orders / Process orders. There are three sections in this app that are useful for your work centers: Overview, Operations, and Shifts.

How Does pMRP Work?

pMRP gets coupled with a simulation scenario to display the material resource representation. This simulation determines which data should be used as a material reference and allow the planner to have the freedom to copy those simulations and club multiple other kinds of simulations to simulations to measure up the key changes done to work centers. Within the pMRP simulation, it’s easier to represent the multi-level bills of material and alter pre-production processes to get rid of existing capacity issues.

These simulations are equipped enough to measure the impact of the done changes on the delivery performance and overall capacity. Upon finalizing the simulations, planners are allowed to release them in the operative MRP and streamline capacity planning.

Getting Started With pMRP 

There is no second opinion that businesses following the aim of streamlined delivery can optimize capacity planning with pMRP. Creating a simulation is all a planner needs to get things done correctly. However, it’s crucial to make sure that the right kind of data is at one’s side to get started with pMRP. Here are the key factors are required for pMRP processing:

  • Material and the bill of material
  • Work centers
  • Routing
  • Production version
  • Planned Independent Requirements (PIRs)

Once the data, related to these factors, is gathered, planners are all set to schedule a simulation on the Fiori apps. Here is the sequence of actions to be followed for effective simulation generation.

Step #1 – Define Simulation

To get started with pMRP, the schedule must maintain demand via PIR.

Step #2 – Schedule pMRP simulation generation 

At this step, the planner needs to define reference data that are going to get used as a reference for a simulation. To make this work, it’s suggested to use the Process pMRPSimulations app for the creation of pMRP simulation. The app allows the planer to copy the reference data which is going to get work as a reference for multiple simulations, saving a huge deal of time & effort.

Changes to simulations, as per the need of the hour, are also possible within the app.

To schedule a pMRP simulation, the planner needs to create simple data based on the operative data, assigned for resource planning. This data is also used as reference data in pMRP.

Step #3 – Generate pMRP Simulations

Planners are allowed to generate multiple simulations to check the impact of simulated change, happened to capacity, to make data-driven decisions. Simulation adjustments are allowed to trim down the inventory costs and better ROI.

What New Has Been Added in pMRP in S/4HANA 2020?

SAP users can have ultimate peace of mind while using its ERP module for business processing as few features and functionalities are added to make this tool industry-relevant. Continuing its promise to deliver updated services, SAP S/4HANA has offered a few additional features and apps for capacity management. Using these updates, one can attain a bit more perfection and leverage capacity planning.

The pMRP is now comes with Materials with an Invalid source and a Violated constraints feature. Additionally, users are now allowed to see the capacity plan simulation drop down menu, simulation components, and list of issues under the simulation views.

Let’s have a detailed overview of these two newly added facilities.

  1. Materials with Invalid source

This just-out-of-box feature displays the items whose supply source is not mentioned during the simulation run. Such materials will be notified about by the system for easy identification of problems in data fed to it yet.

  1. Violated constraints

Taking the help of this functionality allows planners to spot the key constraints, existing in the procurement quantity, and transfer the stocks from other plants to the in-house production. To fetch accurate violated constraints details, it’s crucial to pre-define the flexible constraints with the help of the “Define flexible constraints” in the Fiori application.

Designed to add constraints or restrictions for the in-house material, this app offers best-of-breed assistance in material procurement and restricts the demand quantities. Defined constraints by the planner are a key consideration for the simulations. When constraints are violated, the issues Process pMRP Simulations app enlists the problems.

Let’s try to explain this function by a simple example.

Consider, the planner has defined constraints for XYZ material as 25000 mobile phones from the vendor ABC per week. In case of exceeding demanded quality, for a particular instance, the system you will get the system error as Violated Constraint. This error will be placed in the simulation header for easy spotting.

Other than this, a brand-new Fiori App, ‘Define Flexible Constraints,’ is also launched in 2020. The app is designed to consider the capacity of the suppliers. To make most of this app and churn out desirable results, one must use existing ‘Schedule pMRP Simulation Creation’ and ‘Process pMRP Simulations’ apps together.

Ending Notes 

For a capacity resource manager and planner, early detection of capacity issues and the timely solution was always a tough task to accomplish. With the launch of pMRP functionality in S/4HANA, the life of a planner has become easier than ever as this feature has made spotting capacity and material-related constraints or issues effortless.

With the launch of two new features, Materials with Invalid Source and Violated constraints, it has become more lucrative and viable. So, don’t get tangled in the menial capacity issue and face trouble. Kill the nip in the bud with pMRP for capacity planning.

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