Jessi Ryan | Marketing Specialist | Innominds

Implementation of Artificial Intelligence in industries has enabled smart manufacturing systems by integration with technologies such as cloud computing, big data analytics and connected devices. The transformative impact of Artificial Intelligence in different sectors such as healthcare, retail, finance, and transportation are undeniable. To unlock full potential of AI in asset-heavy manufacturing and production industries, Hybrid AI is the key.

Hybrid AI is the combination of non-symbolic AI such as deep learning and machine learning systems with symbolic AI such as the embedding of human intelligence. Hybrid AI systems have the potential to solve complex issues such as imprecision, uncertainty, and vagueness as it combines both data as well as knowledge to solve problems instead of learning everything from the data.

Classic applications of AI such as natural language processing and object recognition has a vast amount of training data available, but there is very less relevant sensors and other equipment data available in case of asset-heavy industry. For this, implementation of Hybrid AI with combination of data science and physics is the way forward to reduce the errors and improve efficiency.

Unlike the mathematical models used for consumer behavior analysis, industrial data needs to be validated by taking into account the environmental as well as physical conditions. To make industrial hybrid AI work properly, implement the essential tools and map the data from all relevant sources. Hybrid AI is best suited for industrial processes where machine learning models built on a mathematical theory framework is used on real-time data for predictions. This helps in insights driven decision-making process that optimizes production and creates value.

With right data and techniques, you can lower the operating costs, increase top-line revenue and profitability. Innominds’ has developed Numix, an advanced video analytics solution based on computer vision and deep learning. It provides wide range of solutions such as complete industrial surveillance, security, and anomaly detection in the busy production lines, to bring manufacturing efficiency. To know more about the secure and smart video analytics solution, get in touch with us today.

To know about A global auditing major improves support team’s productivity by 15% and reduces average time to resolution by 20%.

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Artificial intelligence has been disrupting almost every industry under the sun and MedTech in no exception. AI is a breakthrough technology, but out of all areas where AI is making an impact, MedTech is the most important, as AI in healthcare market is projected to grow from USD 6.9 billion in 2021 to USD 67.4 billion by 2027. Key factor that contributes towards growth of MedTech sector is the imbalance between health workforce and patients. There is a growing need to improve healthcare quality, reduce costs, and adopt faster diagnosis systems.

Artificial Intelligence and Machine Learning aids in improving accuracy of diagnosing the disease, efficient management of electronic health records (EHR), and reduction in surgical errors with enhanced decision making. Additionally, AI-based tools for elderly care and patient monitoring, AI technology for drug discovery and development of AI and computer vision based non-invasive robotic systems are truly defining the Future of AI in Healthcare. A common use of artificial intelligence in healthcare is the Natural Language Processing (NLP) applications that can analyze unstructured clinical notes on patients, to provide incredible insights about patient’s health history.

Top reasons for adoption AI in MedTech are personalized treatment, better patient outcomes, increased affordability, easier management of chronic conditions and safer diagnosis. AI is not just any technology, but it is a technology taking MedTech to greater heights, with its broad range of possible applications.

Download our Datasheet that how the iMedVision (iDhi) platform’s robust camera, networking, and computation capabilities can help you build next-generation vision-based autonomous healthcare apps.

Are you looking to build the next-gen, chip-to-cloud MedTech solutions? There is tremendous potential for IoT and AI-enabled and 5G-driven systems in the field of healthcare.

So, Innominds’ has developed, iMedVision (iDhi) platform, which powers innovation of advanced Internet of Medical Things (IoMT) applications to improve the quality of care and outcomes for patients. To know more about our cutting-edge vision-based Edge AI platform, get in touch with us today.

If you want to built advanced and safe robot-assisted surgical systems that give guidance to surgeons in real-time, enabling 10x faster video processing and largest annotated data set with iMedVision (iDhi) platform.

In the recent past, gradually more and more companies are shifting towards data-based business model. Today, companies collect data at each and every point throughout the customer journey. Evidently, data is the most valuable item for any organization in modern times. In order to make efficient business decisions, information collected through mobile app usage, social media interactions, digital clicks, etc., contributes towards creation of data fingerprint which is completely unique to its owner.

The volume of data has increased tremendously due to the changing business and market requirements. Data scientists analyse and derive meaningful insights from the data for decision making. Business Intelligence comprises of analysis of past and present data to transform into actionable insights. Data for such analysis could be either, company sales performance over a period of time, consumption activity of users, or total operational costs required, etc.

Data analysis is the process of examining past data through business understanding, modelling and evaluation, whereas Data Analytics is a multidisciplinary field which makes use of Descriptive techniques and Predictive Models to gain valuable knowledge from data. Usage of these methods combined with AI and ML helps businesses in finding patterns in structured as well as unstructured data.

Companies use Data Analytics Engineering to strengthen their business, for example, Data analytics allows a company to observe customer trends and market Personalized Products according to customers profile, which increases Customer Retention. Similarly, it also helps in creation of focused and targeted campaigns, identification of potential risks, supply chain handling, and new product creation.

Organizations implement business strategies to reduce costs, improve efficiency, and strengthen profitability. Data Analytics Engineering Services help modern-day businesses in achieving their goals by increasing productivity of the data team, improved data quality and implementing specific technology.

Data Analytics is an important investment for all kinds of modern-day businesses. To embrace the fast-approaching future of analytics engineering, Innominds can help you with Industrialized AI solutions, Managed Data Platforms, Data Intelligence and much more. Whether you are aiming to create insights-driven business operations or struggling with various data challenges, Innominds data and analytics engineering expertise can lead you to big wins.

To know more about our offerings related to Data Analytics Engineering, get in touch with us today.

The Banking, Financial Services, and Insurance (BFSI) sector has been advancing in its capabilities owing to the digitization and the pace at which it is being embraced in recent years. Moreover, it is becoming more competitive than ever before, thereby empowering modern customers.

In the past years, big tech companies such as Google, Amazon, and Paytm are expanding their reach into the financial sector, developing payment and banking apps for their customers. They have been breaking into FinTech, by leveraging their active user base, forming alliances with banks, and leveraging the increasing simplicity of API payments integration across their services to gain a foothold in a competitive market. With new technologies around every corner over mobile devices, computers, and the Internet of Things (IoT), the amount of data we produce every day is only projected to increase.

Technologies and tools like Business Intelligence and Data Analytics have been invariably helping banks and financial institutes to reflect all required regulations and stay competitive while attending to the digital needs of today’s customers. Data Analytics and BI Solutions aid financial institutions in making ‘smarter’ decisions — both financially and operationally.

Applications and Benefits of Data Analytics: -

Recent surveys show that the global Big Data Analytics in BFSI market size is expected to reach USD 86.68 Billion in 2027 and register a steady CAGR of 27.7% during the forecasted period. BFSI companies need to integrate analytics into processes that trigger automated actions and more contextual, real-time decision-making.

Increasing focus to improve customer lifecycle, growing demand for early fraud detection, and mounting data volume generated by the capital market due to trading and transactions are all driving up demand for Big Data Analytics solutions. Over the forecasted period, these factors are likely to continue to drive the growth of worldwide Big Data Analytics in the BFSI market. In the financial and banking industry, Data Analytics is mostly used in Demand, Supply, and Risk Management. Let’s take a closer look at each of them.

1. Risk Management:

By leveraging the different sources of Big Data, organizations derive a wealth of insight into organizational risk, which allows for assessing and minimizing threats.

When your company applies Data Analytics to Risk Management, a detailed picture emerges that helps structure financial revenue streams and apply predictive indicators to increase organizational growth. Banks and financial organizations utilize Data Analytics to manage risk in the following ways:

Fraud detection

Risk modeling for investment banks

Credit risk analysis

Operational and liquidity risk

2. Managing Supply Side of the Equation:

Financial services industry has been investing heavily for more than a decade in data collection and processing technologies and is one of the forerunners in investments in Big Data technologies. On daily basis, it must deal with the cashflows and customers. What is the total amount of money coming in and going out? How many customers come in? What do they buy? And which ones generate enough revenue to make a difference? Here’re few examples of how financial institutions use analytics to manage supply:

Sales performance analysis

Branch and online channel sales analysis

AI-driven Chatbots & Virtual Assistants

3. Managing Demand Side of the Equation:

For financial institutions, the main challenge is managing the demand side of the equation. Banks can benefit from a system that offers them access to a client they might not have had otherwise by focusing on their most profitable customers. To do so, banks must first figure out who their most profitable customers are. This is where analytics comes into the picture by helping financial institutes in:

Personalized marketing

Predicting customer lifetime value

Attracting new customers and reducing churn rate with recommendation engines

Why Financial Institutions Are Investing in Business Intelligence?

Data that are simple to understand and apply to real-life decision-making is something every industry can benefit from. But making sense of a large amount of data available across the banking and finance industries is no easy feat. Manually completing it would be extremely tedious, overwhelming, and time-consuming. While the influx of information brings the opportunity to gain deeper insight into customer behavior and the industry, banks and financial institutions need to implement business intelligence practices to ensure they make the most of the data revolution.

Data Analytics bolsters a bank’s marketing capabilities. Risk, Compliance, Fraud, NPA monitoring, and calculating Value at Risk are just a few of the functional areas that may benefit substantially from analytics to maintain optimal performance and make the right choices when speed is critical. It is not an exaggeration to state that if analytic tools are not made available to banks, their day-to-day operations would be severely constrained and crippled. Banks may utilize analytics to differentiate themselves and stay competitive in the future.

In the present times, Business Intelligence is a lot more than using fancy graphs and pie diagrams to represent data. Here are the top five reasons why modern banks are embracing business intelligence solutions:

Reporting: BI allows data to be analyzed and compiled into reports that are easy to read and understand. They are also regularly updated.

Cost reduction: BI allows for analyzing customer data, therefore real costs to serve become more visible. Instead of cutting costs at random, BI dashboards and reports provides high-end visibility and insight to make strategic adjustments.

Better risk management: With access to data-based actionable insights, banks reduce the chance of risks. With a BI system in place, fraud is easier to detect and mitigate.

Better view into financial data: By gaining visibility across departments and keeping a close eye on cash flow, a bank would be able to tell which accounts are most used and which ones lie dormant.

Regulation compliances: The dashboards organize data and create reports for regulatory compliance and reports generated have level-based security measures that ensure the data is accessed only by the necessary user.

Digital technology has had a significant impact on the BFSI business in recent years. It has had a favorable impact on the BFSI sector by allowing banks, financial companies, and insurance companies to contact and engage clients on a larger scale. With its sophisticated analytics capabilities, Innominds helps its clients establish risk profiles, acquire insights into customer behavior, and forecast fraudulent transactions.

The efficiency of your internal organization is equally as important as your customers’ experience with your firm. Using Business Intelligence software solutions is a data-driven method to assess operational procedures, resource allocation, and the performance of your employees. Leverage Innominds comprehensive Business Intelligence capabilities and Data Engineering expertise to get relevant insights in real-time to create great customer experiences and exceed the expectations of your organization.

With a unified emphasis on Apps, Devices, and Analytics, Innominds provides experience delivering and creating Big Data & Analytics platforms and solutions that enable the BFSI sector to make informed decisions and make significant commercial use of their data.

At Innominds, we have worked with organizations spanning across the globe from different industries and domains. Innominds’ single sign-on, faster, simpler, and more secure access to internal applications can help your organization move to a zero trust security model.

Download the case study and discover different ways in which Innominds can improve your customer experience and prevent fraud access to internal applications from retail store clients/machines.

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iFusion AI-Powered Analytics Platform

iFusion accelerates AI and analytics solutions development with end-to-end best-of-the-breed technology blending. The platform components include automated Data Pipelines, advanced AutoML capabilities, and production-ready MLOps and ModelOps environment. It delivers significant cost savings through decoupling storage from processing.Innominds’ iFusion and Microsoft Azure power digital transformation across verticals such as Medical Imaging, Manufacturing, Cold Chain, Physical Security, and Digital Twins.

In the recent past, we have observed disruptive innovations in the world of wearable technology across all the industries. It is difficult to imagine any industry without the way in which we receive, use, and share data through different technologies. From the development of wrist calculators to the creation of artificial intelligence, technology and industry are evolving rapidly. This evolution can be attributed to the Internet of Things (IoT) and how wearable technology is changing user interactions and enables access to information at the touch of a button.

Wearable devices such as health and fitness trackers have already positively impacted the consumer market and altered the landscape of work and society as we know it. According to Business Insider Intelligence research, the total installed base of fitness tracker and health-based wearables in the US is expected grow at an annualized rate of 10% to surpass 120 million by 2023. Apart from the health tracking, wearable technology shows a lot of promise in the business world as well. Many organizations have adopted wearable technology as it makes the work environment safer for employees with increased efficiency.

According to the International Labour Organisation (ILO), every 15 seconds a worker dies from a work-related accident or disease and 153 workers have work-related accidents. More than 2.3 million deaths per year result from industrial accidents and diseases, this is the reason why technologies that can improve safety are necessary. Several organisations optimize their workforce by streamlining business processes in order to improve efficiency and productivity, but apart from business process improvement it is also essential to enhance employees’ experience, and in turn, their performance.

The most notable example of wearable technology is healthcare services, but wearables are now being incorporated into navigation systems, advanced textiles, and skin electronics, apart from the commercial uses. With wearables technology and smart products, workers are always connected and can ask for help whenever necessary which can help reduce their fears and insecurities.

Wearable technology is adopted proactively in the world of health and safety training. Workplace technology is capable of detecting malfunctions in machineries, hazardous work environments and stress levels of employees. Virtual and augmented reality provides hands-on simulations which prepares the workers better for their actual jobs, it helps in reducing mistakes while on job and reduces unplanned financial impacts.

Innominds IoT based wearable solutions enables the system to become more scalable, reliable and safe. To connect to all the digital world appliances and IoT devices using the mobile application that can cover all aspects of the device lifecycle, Innominds Companion apps for smart wearables and devices, helps in creating a seamless ecosystem. To know more about Innominds offerings related to smart wearables, get in touch with us today.

Realizing that software development can be complex and costly and there just aren’t enough developers, businesses have come to deal with the fact that they can’t build everything themselves. Think of it this way, in any typical enterprise there is a need for a multitude of business-enhancing applications that would require full-stack development and an off-the-shelf version isn’t available or requires customization or is too complex, or is too expensive.

Consider a bank that wants to introduce a locker management system for branch operations managers as a web application. The application requires a user interface with input for locker ID and on entering it must retrieve locker holders’ data such as Government ID numbers and photographs to verify their identity, the number of times the locker has been operated to verify if the free-access limit has been met, and any other details. All this data is stored at the back end in the databases and CRUD APIs are used for interaction between the front end and the back end. Once the application is built, it is tested thoroughly to ensure that even the edge use cases are working as expected. The application is then deployed only to the branches that offer locker facilities.

Every business problem that needs a solution involves building a few common technology blocks.

Creating a user interface

Dealing with databases and backend services

Gluing the front end and back end with APIs

Integrating with external services

Configuring and maintaining app artifacts

Testing the application functionality

Deploying to an environment of choice

You don’t need to waste your development teams’ time on building these capabilities from scratch. Low code application development tools come to the rescue with an environment for developers to create application software through graphical user interfaces and configuration instead of traditional computer programming.

Innominds’ low code app development platform, iSymphony, is built specifically targeting the captive and client needs of ISVs and enterprises to deliver applications with markedly reduced time and improved quality. It accelerates processes across the Software Development Life Cycle (SDLC) with automatic generation of standards-based code, open and flexible APIs, cloud-native and microservices-based architecture, and one-click deployment.

The platform quickly transforms business requirements into next-gen applications, improving business agility and fostering innovation. It differentiates itself from the rest of the low code platforms by following a no vendor lock model with no proprietary standards, no data locks for the end customer, and no platform/language restrictions.

Widens the spectrum of technology access and accelerates delivery

iSymphony is based on the principles of model-driven design, automatic code generation, and visual programming. It provides digital assets such as widgets, templates, and components for fast-paced application development. It empowers non-technical developers to create apps for their business needs without having to write code. It eases professional developers’ life by abstracting tedious infrastructure and other supporting and system software provisioning tasks required before application development.

Reduces time to benefit and provides scalability through a SaaS-based model

iSymphony low code SaaS platform lowers the initial cost and time for setup, enabling business users and IT to build applications in record time. It allows seamless customer onboarding with a fully guided self-service experience, multi-tenancy with tenant management, and enhanced security. It also enables multi-tenancy for the applications generated using iSymphony and secures apps with authentication and authorization features such as role-based and permission-based access control.

How iSymphony gets the job done: -

The platform builds modern apps for the future with the right architectural and technology choices. It covers multiple facets of application development and delivery such as front-end and back-end code development, integrations, testing, and deployment with cloud and on-premises as hosting environments.

UI Modeler: -

iSymphony provides an interface for the user to create web pages, set the layout of the pages, and define the hierarchy of pages in the app. It provides a designer canvas with an option to drag-n-drop the required widgets from a library based on themes. Users can define the properties related to style, security, and interaction of the web page from the interface itself without having to code manually. The platform enables the dynamic display of the data on the webpage by allowing to bind the widget values to data sources like API or CRUD and vice versa. It provides the user with an instant preview option to have an idea of how the app is shaping up.

Database: -

iSymphony supports multiple database server types such as DB2, Microsoft SQL Server, Oracle, MySQL, PostgreSQL, etc. It allows you to connect to an existing database server and derive data models or create a new database. Using the platform database features, users can model the entity relationships between tables visually. Once the logical data model is ready, users can push the changes back to the physical database that it is connected to. Similarly, any changes in the physical data model can be propagated back to the logical data model as well.

Integrations with web services: -

A web service is an application or data source that is accessible via a standard web protocol (HTTP, HTTPS, WS, WSS). Some 3rd party services like Twilio, Slack, and Maps are exposed through web service API through the REST. Through iSymphony, users can easily and visually configure these web services and integrate them into the app.

Accelerators for managing app artifacts: -

iSymphony provides a user interface to configure accelerators for managing app artifacts like version control, continuous integration (CI), continuous deployment (CD), security, and more. The platform has an inbuilt accelerator marketplace through which you can create and manage accelerators for all your applications.

Deployment pipelines based on profiles: -

iSymphony allows users to deploy onto the AWS and Azure cloud environments by configuring any number of instances through a 1-click deployment option. Additionally, different personas like Dev and QA teams need different operational environments. iSymphony allows users to define such environment profiles and deploy the apps respectively into any infrastructure.

Proficient, performant, and modularized code: -

Over the years, the advertising world has grown tremendously and technological enhancements pay a key role in the transformation. Traditional advertising requires a lot of print material, equipment and manpower to operate and maintain. Digital transformation has been replacing the traditional marketing tactics over the years. Digital Signage Management Systems are a great addition to all type of industries as they are highly effective at driving retention and sales with personalized messaging.

According to Statista, the digital signage market was valued at 19.61 billion U.S. dollars in 2016, and is poised to reach 32.84 billion in 2023. With the increasing social media advertising, SEO, and other technological additions, digital signages take advantage of the customer behaviour through multiple data sources for a targeted advertising. Businesses in dire need of growth and expansion are looking forward to such solutions as it allows custom integration and configurations, enhanced digital connectivity, better interactivity, omnipotent brand recall and maximized competitive advantages.

Top Digital Signage Software’s have been used traditionally to increase brand awareness and influence buyer’s purchase decision with product promotions and advertisement campaigns in the retail industry. Other industries such as healthcare, transportation, education, hospitality, etc., can used digital signages to engage customers, motivate employees with production metrics, create informative and engaging guest experiences, communicate more effectively with the public, improve travel experiences by broadcasting departure schedules, enhance patient experience through queue management and convey internal communications.

Digital Signage Cloud Software is a great communication tool. There are several benefits of using digital signage as it reduces operational costs with centralized management of the entire digital signage network of devices.

Innominds seamless Digital Signage Management solution, Aware, helps you to manage multiple screens in different locations, playing same or different content, through a single portal from anywhere in the world. Aware is available via the cloud and as a locally-hosted application for rich security. To know more about how Aware reduces operational costs with centralized management, get in touch with us today.

If you want to know about digital signage software, Request a Demo

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MLOps – The Ultimate DevOps for Data | Innominds

MLOps -  It is a methodology with which one can streamline the process of moving your data-heavy applications from development to robust production deployments. This method of streamlining deployments by adopting well-defined modern processes, automated workflows, and tools has worked wonders for all the other applications. So, it is obvious to assume that it will work for AI-ML applications.

Know More: - https://www.innominds.com/blog/mlops-the-ultimate-devops-for-data

About Innominds: - 

Innominds is an AI-first, platform-led digital transformation and full cycle product engineering services company headquartered in San Jose, CA. Innominds powers the Digital Next initiatives of global enterprises, software product companies, OEMs and ODMs with integrated expertise in devices & embedded engineering, software apps & product engineering, analytics & data engineering, quality engineering, and cloud & devops, security. It works with ISVs to build next-generation products, SaaSify, transform total experience, and add cognitive analytics to applications.

If you want to know more about our services / solutions / products, 

Visit: - https://www.innominds.com/

Stay updated on our Social Media Platforms: - 

 Facebook: - https://www.facebook.com/Innominds/ 

Twitter: - https://www.twitter.com/innominds 

Organizations need to operationalize, integrate and deploy AI models in line with business value expectations. Many organizations face issues such as decentralization and fragmentation of data science teams which results in delayed development of models due to lack of collaboration between business units. Thus, organizations fail to scale AI by accumulating models that are not implemented and does not match the expectations on the value that should be coming from AI.

The huge gap between model deployment and model governance can be addressed with ModelOps. Each and every organization’s enterprise AI approach should have a ModelOps strategy at its core. It enables technology to converge multiple AI frameworks, solutions, and AI objects while it also ensures its scalability as well as governance. It includes models based on machine learning, rules, knowledge graphs, natural language techniques, etc. Unlike AIOps and MLOps, ModelOps focuses on operationalization of AI and decision models.

In order to successfully operationalize any type of model, organizations need to take following 4 steps, initially define the end-to-end model life cycle, integrate the model into existing production environment, monitor the models in production and govern model operations. Some of the technologies involved in ModelOps such as multi-cloud data and AI architectures help to move beyond machine learning models. Organizations with an expertise to understand cross-functional nature of AI, capable of carrying out operationalization and ensuring collaboration between data engineer, AI engineer, data scientist, ML validators will have a secure and reliable AI.

Innominds Digital Transformation Services are aligned to meet your stage-specific needs across the entire product life cycle. Leverage Innominds’ power of AI/ML on such a scale that will improve your core processes, we have the expertise and solution. Innominds’ iFusion is the leading autonomous AI platform that accelerates enterprise AI adoption by enabling full lifecycle AI management from data exploration to governance addressing key challenges of maintainability, sustainability and governance.

Can technology help elderly citizens to live independently longer?

The number of elderly citizens coming to care homes in response to the COVID-19 epidemic has exacerbated the social isolation and loneliness experienced by many elderly and vulnerable people, increasing their risk of serious health issues. This trend, combined with societal shifts such as lower intergenerational living, greater geographic mobility, and fewer connected communities, has put the elderly at risk of isolation and, as a result, danger.

Fortunately, technology can assist caretakers, healthcare professionals, and family members in detecting and alerting elderly folks’ changes in behavior, which can help prevent significant issues.

Why IoT enabled health monitoring systems for elderly patients?

Medical developments in public health have benefited medical field practitioners and specialists, as well as millions of individuals around the world. However, technology-driven medical innovations are yet to be fully utilized by the general public. Because most industrialized countries have a higher number of senior citizens, there is a strong need to use technology to meet the expanding healthcare demands of the elderly. Affordable, controllable, minimally intrusive, and simple-to-use healthcare solutions are critical. The introduction of IoT-based systems to connect virtual and physical things has the potential to fulfill the requirements of elderly patients who need constant monitoring. Typically, the IoT solutions for the care of elder citizens revolve around health monitoring systems, home security monitoring, and interaction with the caretakers. Elderly patients are usually dependent on smart devices such as oximeters, pill dispensers, glucose meters as well as smartphones health apps, and wearables. As per the U.S Census Bureau, by 2030 elderly citizens are expected to out number the children population in the U.S, which means about 19% of the total population of the U.S will consist of elderly people. The increasing percentage of senior citizens demands better, faster, and cost-effective healthcare systems to cater to every individual appropriately. IoT can transform into an effective and advanced system beyond smartphones and computers. One of the significant advancements is in the usage of Telemedicine services which are beneficial especially for senior citizens. Moreover, with the rise of the ongoing Covid-19 pandemic, the usage of smartphones for Telemedicine became a necessity rather than a luxury. This has resulted in a positive impact as a recent health survey showed that about 60% of the U.S population who are above 65 years of age are now open to using Telehealth services.

Innominds IoT Remote Health Monitoring System for a Global Client One of the worldwide leaders of the IT and networking field associated with Innominds to develop a system using IoT Gateways to monitor elder people in real-time and provide timely alerts to the caretakers in case of an anomaly. They wanted to build a system that was non-invasive, non-contact, and more importantly low cost. The global leader develops, manufactures, and sells networking hardware, high-tech services, and telecommunication equipment. The new Aging in Place platform uses Aoetec Z-stick as an Open Z wave dongle to configure a Linux-based machine as a gateway. By leveraging Innominds’ advanced connected devices services, they were able to monitor living patterns to track normal activity patterns, monitor overall health based on the patterns as well as anomalies, and send notifications to the caregivers whenever the rule is triggered.

Benefits derived by the client from Innominds’ remote monitoring system: • Increase in efficiency: Caretakers were not required to be at home with the patients because of which resources were better allocated for other tasks.

• Regulating capacity: Depending on the individual requirements and problems of each patient, caretakers could set their own personalized rules and alerts on the system for enhanced service.

• Non-Intrusive: Senior citizens are more prone to stigmatization and hence a non-invasive and non-intrusive system is a better option for such clients. IoT-enabled remote monitoring system which uses Big Data and Analytics to improve its performance constantly is helpful in the quicker diagnosis of any health issues and hence decreases healthcare expenses for both hospitals in terms of system costs and patients in terms of actual visits to hospitals. The overall system leverages IoT to provide better access to healthcare in remote areas and reduce manual errors. Hence, smart monitoring systems developed by applying IoT are a big step towards building preventative healthcare services for the betterment of society.

In today’s world, most of the businesses are running on an array of applications. Some of the systems are core ERP systems and custom-coded programs on older mainframes, whereas other systems are built on modern cloud-native applications. Earlier the traditional applications were a lot stable but they lack of speed and agility to them which is the biggest problem in today’s fast paced world where consumers demand agility and speed. Hence, customer-centric organizations are already undergoing digital transformation.

There are several organizations who have made investments in their legacy applications but it is time to replace the outdated versions with the newer ones even though it can be costly from financial perspective. But in the long run, it is the most beneficial way to sustain and enable newer platforms, tools, and frameworks.

What is Application Modernization? It simple segregates the legacy applications into its individual parts and functions so that each function to runs on its own. In order to make an agile, easy-to-deploy and scalable framework, application modernization it relies on cloud native transformation, digital integration, APRs and containers.

A successful strategy for application modernization involves identification of the business challenge by the leaders, cost benefit analysis, technology migration and a proper process illustration. There are 6R’s of application modernization which include re-architecting, recoding, re-hosting, re-engineering, re-platforming, and replacement for transforming on-premise to digital- native platform.

You must be wondering, as there are many methods of application modernization, what is the best method to modernize applications for your business? The best method for any business varies according to the technology, customers and segments like building new applications using microservices or adding APIs so as to extend the legacy system or adoption of SaaS to replace legacy systems.

Application modernization is a continuous journey and some of the benefits of modernizing are enhanced profits, better responsiveness and business cycle, security, easy and effective integration, higher speed, enhanced productivity, and reduced cost.

Application modernization powered by cloud capabilities is a powerful strategy for businesses looking to accelerate innovation and with Innominds’ Experience Engineering Services your business can derive new business value from legacy apps as well. We modernize your apps with latest frameworks and create fantastic user experience. Get in touch with us today.

Download Case study for App Modernization

In the competitive markets, there is an abundant need to solve business problems faster but due to the dearth of skilled software developers as well as overburdened IT departments, the organizations are turning to towards low code no code partners. Do you plan to replace the manual coding with a low code development platform as well? In order to make an informed decision, it is essential to understand the common requirements for business apps. First and foremost, enterprises must set the right criteria so as to select a low-code platform to build apps.

Being new to such a low code app development model, there are several hesitations that enterprises face like if it is a correct time for them to invest in a low-code platform, and, if so, what should be the approach. In such scenario, if your organization faces skill gap but wants to keep pace with digital transformation as your customers are looking for great experiences but employees are always busy tracking data hampering the overall app development process then it is the right time to invest in a Low code no code application development platform.

For an effective digital transformation using the low code platforms, make sure you assign appropriate resources who are developing the applications, calculate budget and app function requirements in advance, evaluate multiple use cases, additionally it is important to prioritize integration needs as well. Some of the features to consider while choosing a Low-code Platform are Mobile-Friendly, User Interface of the Application, Customizable, Training Programs, Technical Support, Cloud Infrastructure, Flexible and Scalable.

There are several advantages of using low code no code platforms as it can help in fulfilling customers’ evolving needs proactively. In the ever-changing business conditions, it increases the agility to sustain for longer time, decreases costs and improves productivity.

AI in Retail: The Ideal Tool to Deliver Seamless Customer Experience and Drive Profitable Growth