There are a variety of routes a customer may take to get to the service or product offered by your organization. As a customer embarks on this journey, a sales representative has the task of finding instances to interact with them and find insights about their likes and preferences. An effective customer journey map can give you these insights promptly to forecast your customer's path to your organization.
Custom user services are at the core of the success stories of a majority of internet companies like Netflix, Facebook, and Amazon today. This is why online platforms vying to stay at the pinnacle of their respective sectors need to build effective recommendation systems or recommendation engines.
During the COVID-19 pandemic, we have seen intense pressure on the healthcare management sphere. The chaos that the pandemic brought resulted in many challenges for the healthcare system. Therefore, healthcare providers had no choice but to adjust their methods. Instead of in-person services, remote healthcare delivery was adopted to avoid transmission.
For all types of businesses, be it storefront establishments or online retailers, generating buyer interest is not enough. You need to develop a robust sales funnel to attract visitors first and then ultimately convert them to loyal customers who provide repeat business. There is a series of thought processes that customers go through before they buy a product or avail of a service which constitute a sales funnel.
Quintillion bytes of data get generated in a day, now imagine handling those data manually! Impossible right? It would require immoderate manpower with no surety of accuracy. As we all are aware of the fact that organizations these days run on data and thus it is a vital task to manage and organize it. The data is received from multiple sources and stored at a centralized repository for usage, such as a data warehouse.
With the pandemic at bay, we have witnessed the emergence of digital transformation almost everywhere. Especially, in the IT industry where the organization was still stuck with the legacy system using outdated technology and generating unlimited data but not utilizing it properly. Managing data day in and day out is just not something that immediately derives value to an organization. But, with Data Modernization, it can do wonders for the company.
The software development domain is perpetually transforming in terms of environment, orchestration, scaling, and management. One of the most important developments to occur in this field is the introduction of the "run anywhere" paradigm that came with virtual machines, followed by Containers, and further revolutionized by Container-as-a-Service (CaaS) solutions.
With healthcare organizations (HCOs) shifting toward patient-centered care, it is important to consider and measure the factors that impact or influence the quality of care. That is why, HCOs value patient satisfaction, as much as they value patient safety and clinical workflow improvements.
Dated or legacy tools, systems, and operational methods are not enough to deliver the quality of optimized and innovative financial services that today's digitally savvy customers expect. So, multitudes of financial organizations are leveraging Artificial Intelligence to raise the growth rate and dynamism of IT operations through AIOps.
Nowadays, businesses can produce data analytics based on big data from numerous sources. Once they acquire access to all of the requisite data sources for analytics and business intelligence in order to make better decisions. The transfer of this data is facilitated in a streamlined manner by different data ingestion strategies.
Businesses can save plenty of time and millions of dollars when they use data science to better understand and improve their processes. With the age of the democratization of data, there have been several emerging trends defining enterprise data manipulation and data engineering.
Artificial Intelligence (AI) and data engineering are closely interlinked. On one hand, making sense of unstructured data is the process known as data science or data engineering. On the other side of the same coin, AI-programmed computers have the ability to learn as they go, getting better at solving particular sorts of problems as they accumulate more data. So one cannot exist without the other.
Machine Learning (ML) is an application of Artificial Intelligence that has the maximum number of use cases, in almost every industry. Healthcare, automobile, marketing, finance, agriculture, retail- all of them are leveraging the power of ML to automate tasks and bring agility to operations.
Migrating to the cloud is the new normal for businesses of all sizes. Based on availability, compliance, performance, sovereignty, and other technical factors, businesses are making a choice for a relevant cloud services provider.
In an SDLC, there are several testing frameworks that help to assess if the application is progressing in the right direction. It could be in terms of usability, security, compatibility, performance, integrations, etc.
Speech recognition is a technology that has been going through continuous innovation and improvements for almost half a century. It has led to several successful use cases in the form of voice assistants such as Alexa, Siri, etc., voice biometrics, official transcription software, and the list goes on. So what really is Automatic Speech Recognition and what are the underlying technologies that enable it?
The business landscape of the modern world is heavily customer-centric with marketing, sales, and customer support at the center of operations. Salesforce is the most sought-after Customer Relationship Management (CRM) software intended for these purposes. There are a variety of roles and responsibilities in an enterprise's Salesforce team and the Salesforce Administrator is usually at the helm of it.
Increasingly today, Financial Technology (FinTech) companies have been using mobile devices and applications as promotional platforms. Biometrics technologies are a necessary addition to the FinTech domain and have the critical task of enhancing security through the accurate identification and verification of the customer's identity.
A majority of healthcare data today, about 80% of it, happens to be unstructured. Most sources used for aggregating Electronic Health Records (EHR) require a considerable amount of pre-processing because most of them are not machine-readable. Natural Language Processing (NLP) and various Machine Learning (ML) techniques can, however, unlock all the potential enmeshed in unstructured data.
When it comes to seeking app-based medical solutions, physical health is often given precedence over cognitive or mental health. However, millions of people suffer silently from unseen, yet debilitating effects of mental illnesses. That is the pain area that the creators of the research-backed mental wellness app Wysa have chosen to address.
Artificial Intelligence, in practice, is complex. There are several technologies and training methodologies involved. There is a high risk involved in algorithm failure. With this, businesses want nothing but the best of AI practitioners when it comes to executing the use of AI technology. That’s when the Artificial Intelligence (AI) Center of Excellence (CoE) comes into the picture.
Post-pandemic, the retail sector has witnessed several transformations in the way it works, but the biggest paradigm shift has been the increased adoption of self-checkout systems. These systems give retailers the option of saving costs while enhancing the customer experience so that in-store resources can be better allocated.
Value-based care is the new normal in the healthcare industry.
Healthcare stakeholders- patients, providers, payers, and suppliers are realizing the benefits of value-based care, and adopting it has become their major goal.
Innovative medical interventions that are new to the healthcare industry need to be evaluated through clinical trials before they are rolled out for real-time implementation. The field of clinical trials is going through a paradigm shift with digitalization. And electronic Trial Master File (eTMF) systems are a clinical trial documentation necessity for digitalization.
With a diverse portfolio of 15,00,000 companies, Salesforce has been holding strong in the cloud CRM market. The platform's uniqueness in reporting, visual data presentation, enhanced efficiency with automation, proactive service, etc. is some of the reasons why the CRM holds 20% of the overall market share in the domain.
Organizations whose bottom line depends on quality software development need a robust methodology in place to assure bug-free product delivery for their clients. They must integrate a means to monitor the productivity and quality of software testing with a standard set of appropriate software testing metrics.
Most software systems of contemporary large-scale businesses function at full capacity as they have to deal with complex computations across distributed system architectures. In these cases, system failures have a high likelihood with the cause of failure remaining largely elusive. Chaos engineering is a field that is finding widespread application as a reliable means to be prepared for such failures in advance.
Vulnerabilities in software applications are common. 85% of security incidents happen at the application layer. With the right security measures, the operations and development team can discover these vulnerabilities and fix them at an early stage in an SDLC.
Organizations irrespective of industry accumulate data across categories such as purchase history, customer contacts, lead journey statistics, buyer behavior, and so on. The most preferred mechanism to track and leverage this data today is through Customer Relationship Management (CRM) software such as Salesforce CRM. What makes Salesforce a highly viable CRM solution is the suite of low code application development tools it provides.
There are 400 million active websites on the internet and all these websites are susceptible to vulnerabilities of one kind or the other. Even the microscale misconfigurations, such as improper validation, disclosure of server versions, and using vulnerable software libraries can lead to drastic security issues. To avoid the consequences, there is Application Security Testing.
An organization’s data is its most essential resource and its day-to-day operations produce data in abundance. But to derive actionable insights that help make data-driven decisions, it is important to remove inefficiencies in the way the data is consumed and visualized. Business Intelligence, or BI, is a group of services that empower businesses to leverage their data for driving enterprise excellence.
Salesforce has been knocking its competition in the CRM world. Despite the existence of several industry-specific CRM solutions, Salesforce has been standing strong. One of the prime reasons for its success is its flexible integration services.
Cybercriminals are constantly waiting for opportunities to exploit your organization's system security flaws. While the motivations of these hackers vary, be it political, financial, or just to gain notoriety, they all constitute a severe threat to your company's confidential data. There are several points of entry known as security vulnerabilities that are defined by the Open Web Application Security Project (OWASP) community.
Automation is driving the decline of mundane and repetitive tasks. And this holds absolutely true for a software development cycle.
There is a provision to automate almost every aspect of a software development cycle- coding, testing, and even deployment.
Over the last half-decade, Artificial Intelligence solutions has made incredible advances in pivotal areas such as vision, video generation, linguistic processing, trend prediction, and so on. While AI attempts to make giant leaps toward matching human intelligence, industry insiders forecast the emergence of Artificial General Intelligence (AGI) as the next obvious step.
The global technology ecosystem has an insatiable demand for AI today but without the right training data and efficient AI model development, this domain cannot be utilized to its full potential. With fully actualized AI models that arise from high-quality build lifecycles, continuous innovation in AI fields such as Natural Language Processing (NLP) or predictive analytics can be ensured.
If you’re leading the marketing campaigns of an organization, you could relate to this! The prospect data received from website forms, surveys, web browsing, a list of event attendees, or advertising is not enough to create opportunities and convert a lead.
Taking a business to a global scale involves navigation, not just through untraversed markets but also across language-based hurdles. Natural Language Processing (NLP) offers the utility of Machine Translation, wherein a source language is converted to a target language automatically with significant accuracy. It is the most viable solution to a fast and effective translation process without human intervention.
Less than two decades ago, Deep Learning (DL), or the simulation of human neural networks, was only a concept limited to theory. Fast-forward to the present day and it is being leveraged to solve real-world problems such as converting audio-based speech to text transcripts and in the various implementations of computer vision. The underlying mechanism behind these applications is known as the Attention Mechanism or Attention Model.
The accuracy of deep learning models depends upon the quality, quantity, and contextual meaning of the training data set. However, the scarcity of this up-to-the-market data set is one of the major challenges in building DL models.
Salesforce is the world’s leading CRM with over 150,00 customers that include businesses, non-profits, and institutions. The cloud-based CRM unites sales, marketing, eCommerce, service, IT, etc. under a roof, enabling businesses to drive growth.
Every business needs to continuously find ways to utilize a workday to make the most of it. So, workflow automation in various business areas is the go-to alternative for a lot of enterprises. The Customer Relationship Management (CRM) workflow for businesses, handled by marketers, customer service executives, and sales reps, also derives cost and time efficiency-related benefits from automation.
In today's advanced competitive world, the most valuable commodity is data. Data has many forms, from pictures of people and places to patient records and banking transactions. Machine Learning is a branch of Artificial Intelligence that can fully leverage this data to learn from it and enhance a business' bottom line.
As a Chief Technology Officer (CTO) of an organization, who is either driving the technology team of a startup or leading IT operations in a megacorp; continuously innovating is the goal.
If you’re leading the software engineering cycle of a product or a software development firm, then the struggle to get answers to the following questions must be constant.
The software development and delivery pipeline of DevOps, also referred to as the CI/CD pipeline, ensures that market-ready software products are released for public use faster. Continuous Testing is a set of evaluation procedures in the DevOps pipeline meant to ensure the product's quality and to enhance the reliability of the outcome.
There are some key DevOps practices that enable organizations to automate and streamline the software development processes. Continuous Integration and Delivery (CI/CD), Continuous Deployment, Microservices, Infrastructure as Code (IaC), Containerization, Monitoring & Logging are a few of them.
Today, we are at a point in the software delivery paradigm where most IT enterprises have implemented DevOps in their workflow in some way, shape, or form. DevOps teams are guided by various operating principles, the most prominent of which are Continuous Integration (CI) and Continuous Delivery (CD), or CI/CD.
Artificial Intelligence (AI) has introduced major breakthroughs as fintech solutions in the finance industry. Risk management, customer segmentation, credit scoring, personalized banking, process automation, etc. are some of the advantages of AI and its technologies that are leveraged by the finance sector.
A modern infrastructure that’s agile, flexible, and scalable is on the mind of every infrastructure & operations (I&O) leader. In a cloud-first and automation world, I&O leaders are introducing new ways to utilize and manage infrastructure.
For technology organizations, cloud adoption is a go-to strategy for cost reduction, risk mitigation, and a more increased scope of scalability. Enterprise-ready cloud infrastructure highlights the maturity of a company's depth of technological prowess. Therefore, it is important to conduct periodic cloud readiness assessments.
The software development business is witnessing an ever-increasing adoption of various cloud-native methods for deploying applications, and containerization is one of the most sought-after of these methods. This has, however, opened up organizations using containers to potential cyber-attacks and other vulnerabilities, therefore promoting the need for container security.
Containers have been solving real problems for IT operations teams. They are enabling faster deployment of applications, ease migration to the cloud, maximize scalability, reduce environment variables, improve code reusability, and a lot more.
In today's competitive business landscape, success is directly affected by the accuracy that goes into your decision-making process. The best business decisions are driven by data aggregated from a vast array of white papers, market research reports, surveys, and domain experience. Augmented analytics is a leading data analytics subdomain emerging in the current market.
Experiencing the ill effects of the pandemic, the healthcare industry encountered a lot of changes. Transitioning with the industry was the way patients were engaged. Healthcare professionals wanted to have a more meaningful and optimal method to onboard patients in their healthcare journey. The focus today is on patient engagement. Why you might ask?
Daffodil Software Features in PEAK Matrix® Assessment 2022 (for Digital Product Engineering Services)
Daffodil Software, a leading software engineering company based in India, announced that it has been featured in Everest Group’s PEAK Matrix® Assessment 2021. The company is positioned as an ‘Aspirant’ under the Digital Product Engineering Services category.
As cloud adoption becomes a widely accepted norm amongst organizations, effective management of the cloud infrastructure is now at the forefront. Efficient management of the cloud leads to holistic resource optimization and the option of keeping a close eye on cloud infrastructure spending.
The new norm of practicing DevOps has recorded success in streamlining and improving the deployment cycle. With benefits like automation, faster-time-of market & incident responses, DevOps has had a positive impact on the overall delivery of an application.
The industry standard amongst IT and cloud computing-based organizations dictate the need for rapid testing, deployment, and scalability of applications. At the moment, the best option at the disposal of these companies is container orchestration. The most popular and sought-after container orchestration tool in the market today is the Azure Kubernetes Service (AKS).
DevOps introduced a change in the IT culture with the adoption of agile, lean practices for development. It emphasized people, tools, methodologies, and discovered how a balance between the development and operations team could bring a significant shift in a software development cycle. DevOps leverage automation tools to build a dynamic infrastructure.
Digital transformation and cloud migration were the survival doors for businesses to escape the uncertainty of the COVID-19 pandemic.
The healthcare industry is on a constant lookout for digital solutions to conduct the financial, administrative, and clinical operations of a hospital. These days, these are largely carried out by means of a set of informatics tools, collectively known as Hospital Information Systems (HIS). In addition to a patient's health information, inventory and personnel data are also stored, managed, and transmitted across a HIS.
In the Banking, Financial Services, and Insurance (BFSI) sector every single transaction is of significance. Fintech solutions that allows the tracking and management of expenses, revenues, inventories, and personnel must be highly reliable. That is why financial institutions invest in Document Management Systems (DMS) or Enterprise Content Management (ECM) systems as a priority, so as to keep a secure record of each financial event and activity.
Conversational systems that leverage Artificial Intelligence (AI) have helped automate a wide range of business processes, especially those involving interactions with the customer. Natural Language Processing (NLP) comes into play for a majority of these processes, but it is often hindered by functional hurdles. Reinforcement learning is a method for navigating these hurdles to make NLP-driven business processes more seamless.
The latest innovation in AI, known as deep learning, helps AI models learn from a fairly large dataset of examples. This type of learning, however, does not generalize for conditions that were left out or missed out during the training process. The alternative to this is Transfer Learning, which is extensively witnessing its application in the field of Natural Language Processing (NLP).
The personal financial planning software market is witnessing the entry of a new generation of planning software. While many existing clients of the leading financial advisory firms are reasonably satisfied, there is a need for fintech software solution that helps serve more specific client needs. Incorporating uncertainties and building a robust financial plan are not the only requirements for reliable financial planning software.
Individuals and companies have been changing the way they manage their finances through WealthTech or wealth management technology. A digital ecosystem of finances consisting of technologies such as AI, big data, and SaaS, is governing the global flow of money. The trends surrounding this set of technologies are transforming and being reimagined continuously to meet global changes in financial governance.
The modern tech-savvy consumer has a horde of on-demand utility services available directly on their smartphone. A natural byproduct of the market demand for such services is the app-based money lending app, Brigit. Brigit is a payday loan app on a mission to combat unfair loan lenders who trap borrowers in a vicious cycle of debt.
Aspiring entrepreneurs from third-world countries and underprivileged communities often find it impossible to fund their dreams by applying for loans. This is because of their lack of credit history or sometimes even little to no access to formal financiers. However, fortunately, microlending apps such as Kiva are here to change the state of small businesses in dire need of funding. But how does the US-based online microfinance company Kiva really work?
There is no limit to what technology-led solutions can do for businesses and consumers. That is why organizations are spending a large share of their IT budget on application development.
The most wholesome and altruistic innovation to come out of the FinTech, or financial technology domain is that of microlending apps and platforms. Micro lending platforms leverage peer-to-peer (P2P) technologies to offer loans to small businesses as well as personal microloans to individuals without a standardized credit history.
The COVID-19 pandemic caused a surge in demand for contactless payments. The shift from cash to digital payment options eventually lead to increased downloads for peer-to-peer (P2P) payment apps like Venmo, PayTm, Google Pay, AliPay, etc.
The Internet of Things (IoT) sees most of its usage in the domain of asset tracking. Companies can make better decisions about their products if they can keep track of where their precious cargo is and therefore, location-based applications of IoT have always been dominant use cases.
Every industry and business sector in the world has been making breakthroughs in widespread Artificial Intelligence (AI) implementation. This has been so prevalent that the very landscape of AI has been constantly transforming. The accumulation of so many breakthroughs is ushering in a new stage for AI; referred to popularly as AI 2.0.
Most thought leaders and technology pioneers across industries have been fascinated by how DevOps can transform software development workflows. DevOps can be thought of as an evolution of Agile practices and takes the innovations of the Agile approach forward in creative ways. In the initial stages of embracing Agile, companies must strategize wisely to make the shift.
The various applications of the Internet of Things (IoT) have helped companies across the board to automate processes and improve their bottom line. This technology is doing wonders for the finance sector in improving service delivery, making customer transactions more transparent, and making the overall process of money exchange more efficient.
The scope of innovation in Artificial Intelligence (AI) is vast and the field of Natural Language Processing (NLP) is setting new benchmarks for it every day. What is redefining the way we approach the completion of tasks through NLP is a novel architecture known as Transformer-based architecture. The dynamic problem solving employed using NLP is enhanced tenfold through this novel architectural model.
The COVID-19 pandemic made us witness drastic changes in the way consumers prefer to pay for products and services, inclining more towards cashless transactions. Digitization is certainly a huge step in making payments a quick and seamless experience for customers. That is why digital payment players out there are leaving no stone unturned in bringing innovative modes of payments for businesses and consumers.
With evolving technology, almost every business is making efforts to expand, improve the customer experience, and ensure that these customers keep coming back. Retail business is one of them.
Gurgaon, 19 January 2022: Gurgaon-based software engineering company announced that it has plans to create 500 full-time jobs this year. To keep up with the increasing customer demand and to strengthen their portfolio for diverse technologies, Daffodil has declared a massive number of vacancies at its headquarters in Gurgaon.
The global public health crisis due to COVID-19 has exposed healthcare workers, especially physicians to physical and mental exhaustion. This state, called burnout, has a pervasive negative effect on all aspects of medical care, which also includes the career satisfaction of healthcare professionals.
How does one measure the success of an organization in the age of insight and business intelligence? Enterprises today run on a strong foundation built on the clarity and efficiency of the data that they possess. Highly beneficial data analytics that gleans business insights faster is the lifeblood of the data economy and every business' evolution is plainly dependent on analytics.
Every new technological innovation in any industry is dependent on the availability of infrastructure to support said innovation. For instance, Electronic Medical Records (EMR) could not have been a reality without the requisite facilitation of storage and performance-enhancing tools. Solutions implementing Software-as-a-Service (SaaS) is one such requirement for innovations in healthcare.
DataOps is a collection of methodologies that has been taking the data management domain by storm. As we know, DevOps is the natural result of applying lean principles such as broad focus and continuous improvement to application development and delivery. DataOps takes these principles and applies them to data science.
Businesses have some obvious reasons to adopt the cloud and migrate to it. Improved IT operations, infrastructure management, reduced CapEx/OpEx, security & compliance are some of the reasons that ain’t letting the upward trajectory of cloud service adoption slow down.
A world-renowned bank's CEO was recently quoted as saying that, while there are thousands of manual banks now, the future will see only a handful of digital banks. Along with the rest of the world's critical business sectors, an overwhelming number of banks are also shifting to virtual platforms. This migration is being orchestrated by some of the best DevOps resources that the global FinTech sector has to offer.
Discussions about the future of cloud implementation always involve the building and operating of DevOps platforms in cloud-native environments, which is also known as CloudOps. However, the proper know-how to fully grasp the long-term impact, challenges, and solutions of this technology are quite limited in the software industry.
The smart customer of today needs convenient and safer ways to access, spend, save, and invest money. That is why banks are trying to go the extra mile for an improved customer experience. ATM machines, card payments, mobile banking, etc. exemplify how the banking sector is continuously evolving and believing in technological advancements like never before.
Efficient customer communication is the basis for gaining the trust of a loyal customer base for any business. While data science-backed approaches in customer service and retention have massive benefits, attention must be paid to the quality of customer communication. Cloud-based solutions and AI must be leveraged for more promising customer communications.
An overwhelming number of leading banking organizations have been adopting conversational AI to improve customer service and end-user experience. This has been especially evident in the retail banking sector where there is no shortage of competitors. Valuable customer analytics and 24/7 support are some of the benefits that conversational AI offers.
Organizations depend heavily on customer data for predicting sales trends and coming up with strategies for successful sales campaigns. Maintaining healthy customer data is a high-priority requirement for a flawless revenue stream for any company. Customer data is arguably one of the most valuable global resources today.
Every industry & organization is transforming itself digitally. In this process, they are taking their existing, offline userbase to an online platform. The best part is, these online platforms can capacitate as many users as a business want. But, there is a catch.
Traditional financial institutions still rely on manual tracking when it comes to the vendor management component of their workflow. They make use of spreadsheets, email, and shared files on online drives instead of a dedicated vendor management platform. A common misconception in the financial industry is that investing in a Vendor Management System (VMS) is more expensive than manual processes.
Chief revenue officers of big brands often are tasked with finding the right balance between short-term revenue pursuits and long-term brand equity building. The emergence of advanced marketing analytics and Big Data is making this job much more challenging. As data is becoming more voluminous and yet more precise, what are the challenges it poses to brand equity?
Most industries advancing their digital transformation are increasingly relying on Quality Assurance (QA) and testing. The banking sector is taking a cue from several industries' digital roadmaps to maximize their prosperity from technology adoption. At the end of the day, quality-assured digital banking services help meet the expectations of technologically equipped customers.
Today's tech-savvy patients are using smartphone apps to access their medical records, view lab results, and scheduling doctor's appointments. There is an ever-increasing onslaught of users on such apps. Therefore, several healthcare providers are turning to data analytics in the cloud to better manage activity on patient-side apps.
Gurgaon, 30 November 2021: Daffodil Software, a leading software engineering company based in India, announced that it has made it to the finals of the European Software Testing Awards under the category of- Cognizant Best Use of Technology in a Project.
For the FinTech sector, the pandemic-riddled 2020 and 2021 had been majorly about handling the many hurdles of digital transformation. 2022 is looking like the year when businesses will stabilize and get back to business as usual after swapping their systems to digital platforms.
Load testing is a subset of performance testing that checks a system for its availability and response time during a concurrent load of users. It ensures that an application is able to handle the load without compromising with performance.
Healthcare platforms are under constant threat from cyberattacks, putting patient safety at risk. This is why C-suite stakeholders, Chief Information Officers (CIO), and senior leaders of healthcare outfits need to stop viewing cybersecurity as a purely technical issue. Patient information security, enterprise integrity, and strategic priorities are all reliant on cybersecurity.
Gurgaon, 23 November 2021: Daffodil Software, a leading software engineering company based in India, today announced that, for the 2nd consecutive year, it is a Great Place to Work-CertifiedTM.
The banks of today are witnessing sweeping changes at an unprecedented pace. Changing consumer expectations, new technology innovations, and unconventional business models are driving these changes in the banking sector. Banking officers operating in the technological sphere are realizing the potential of cloud banking to help them cope with these modernizations.
The FinTech domain has recently become an integral component of banks and Financial Institutions (FI). FI-FinTech collaborations are especially crucial in handling the vast and ever-increasing burden of regulations in the financial sector. Regulatory changes are being rolled out at a staggering rate in the finance sector. This has driven FI stakeholders to turn to niche technology solutions collectively known as Regulatory Technology (RegTech).
Gurgaon, 16th November 2021: Daffodil Software, a leading software services company, today announced that they have been positioned as an ‘Emerging Niche Player’ in the Zinnov Zones for ER&D 2021 ratings.
There has been a steep rise in the demand for Emergency Medical Services (EMS) apps and platforms that ensure smooth patient hand-off. The transitioning of patient care from the prehospital team to the Emergency Department (ED) doctors and nurses is the most pivotal aspect of these platforms.
Log analysis is an integral part of any software development lifecycle's ultimate success. Developers and engineers use logs to assess what is happening at every layer of a software system and track down the root cause of issues. As the software development process produces a large amount of distributed log data, it is often difficult to analyze it all sufficiently.
Most recent conversations around making the software development lifecycle more efficient revolve majorly around two concepts, app containerization, and virtualization. Virtualization and containerization are two of the most widely implemented mechanisms for hosting and developing an application.
The COVID-19 crisis made the healthcare system realize the importance of mHealth like never before. It has enabled seamless communication between the patient and the provider, despite the distance. It allows for 24/7 management of patient's health data, offering the ability to personalize healthcare per patient.
Software developers are always on the lookout for reliable open-source infrastructure alternatives for developing and deploying applications. That is where Kubernetes, a cloud-native cluster management software solution, comes in. It provides comprehensive solutions for automated app deployment and interoperability among microservices.
For handling complex client-server environments, IT teams swear by the trails provided by logs and metrics data. These trails have a proven record in significantly reducing the Time to Detect (TTD), Time to Mitigate (TTM), and Time to Remediate (TTR) whenever the server or the environment behaves sub-optimally.
Let’s imagine a situation. There is an eCommerce app that’s receiving high traffic during sales. It was observed that the load balancer wasn’t working as expected, thereby affecting the application performance and consumers’ buying experience as well.
“It’s art if it can’t be explained. It’s fashion if no one asks for an explanation. It’s design if it doesn’t need explanation.” If we go by the words of Wouter Stokkel, then a great design is one that speaks for itself. ‘Aesthetic, understandable, usable, and sustainable.’
Today, Artificial Intelligence (AI) has found a significant place in our lives and across a broad range of industries and businesses. But most of us, including industry stakeholders, have a very vague understanding of how AI systems make the decisions that they do. That is where Explainable AI (XAI) comes in handy, producing transparent and detailed explanations for the way AI functions.
Grubhub is an online food delivery marketplace that connects over 33 million diners with their favorite food from local restaurants. The platform features more than 300,000 restaurant partners in over 4,000 U.S cities.
Healthcare organizations looking to optimize patient outcomes are increasingly adopting Electronic Medical Records (EMR) software. In fact, EMR is now virtually an integral part of healthcare and a widely agreed-upon standard. Taking full advantage of this technology requires proper EMR integrations with third-party ancillary platforms and systems.
The impact of the various applications of AI in automation testing is well known. Moreover, AI is widely accepted as an essential accompaniment for the seamless delivery of any software product these days.
Did you ever realize this? The eCommerce app that you generally shop from offers a seamless experience. But when you shop from the same app during a sale, it crashes very often. This happens because the app server is not prepared to handle a load of concurrent users on the server.
A strategic user experience has the potential to raise conversion rates by as much as 400%. That’s the power of a great UI/UX.
UI/UX has an immense contribution in making or breaking a business. That is why designers pay attention to every detail associated with the app design and craft them using the most innovative and human-centered approach.
Gurgaon, 21 September 2021: Daffodil Software, a leading software engineering company based in India, today announced that it has won the Stevie award at the 18th International Business Awards®. It bagged silver under the ‘Company of the year-computer software-large’ category.
Businesses often need to analyze highly subjective data such as customer feedback, reviews, and recommendations to aid in their brand decision-making. But simply automating data analysis leads to the nuances of this data being overlooked. Sentiment analysis with Machine Learning (ML) models provides a more comprehensive solution to this problem.
User experience (UX) designers rely on a variety of research methods and analytics to understand what the end-user prefers in the design of a software solution or product. Ethnographic research is a tool with great potential that UX designers are finding to be extremely insightful in discovering user preferences and pain points regarding product design.
Automotive brands need to make their customer journey more personalized and innovative to maintain a competitive edge in the market. Artificial Intelligence (AI)-based chatbots have become the go-to technological innovation for these brands to make the end-user experience a notch above the rest.
According to popular UX statistics, people form their judgment on a website’s credibility purely on its aesthetics. In fact, 88% of the users are unlikely to get back to a website or any digital platform after a bad user experience.
Referring to some of the most pivotal technologies as mere buzzwords is a disservice to innovation. The Internet of Things (IoT) is one such domain of technologies most people tend to refer to, without fully understanding its nuances or its technical aspects.
When handling voluminous data that is highly sensitive, it is always preferable to group it into categories or classes. That is primarily where classification algorithms make themselves useful. Classification algorithms are one of the most widely implemented classes of supervised machine learning algorithms.
There are Yottabytes of sensitive data being generated from the interfacing of humans with machines. For cost-effective and optimal enrichment of this data, Machine Learning (ML) algorithms are our best bet. One of the most reliable categories of ML algorithms is clustering algorithms, irrespective of the complexity of data.
The exponential growth and development that AI technology has showcased in the past two decades have brought several science fiction movies into reality. Statistics suggest that the global AI market is predicted to reach $190 billion by 2025. The overall market includes a wide array of AI applications including Natural Language Processing, Machine Learning, Conversational AI, Robotic Process Automation, Neural Networking, etc. | Source: Statista
The average long-distance traveler cites congestion as the primary hindrance to their travel plan. With advancements in technology, the decision-making process that guides route planning has become much more streamlined. Artificial Intelligence (AI) backed route optimization systems give travelers the shortest and most congestion-free routes upon user request.
Out of all the stages of the supply chain, logistics deals with the most unpredictable issues. These include factors like weather patterns, fuel prices, and last-mile delivery charges. The gradual adoption of demand forecasting with Artificial Intelligence (AI) is helping the logistics sector to alleviate some of these uncertainties.
When the COVID-19 pandemic hit the world, most of the businesses were unprepared to deal with its consequences. The unexpected shift made them think of ideas that can help them sustain themselves in the competitive market and retain their customers.
The Internet of Things (IoT) is a technological framework that is being adopted in myriad industries at a fierce rate. There has been continuous innovation in this field of technology as it converges with various technology stacks associated with Big Data and Artificial Intelligence. Simultaneously, the number of connected IoT devices is also increasing rapidly, posing the need to improve one of the most important aspects of IoT - scalability.
Learning is defined as the adaptive intelligent change in response to experience. In humans, it refers to the continuous process of acquiring new skills, values, knowledge, attitude, and preferences based on past experiences. This lifelong exercise in humans is called cognitive learning.
Cloud computing has enabled primary stakeholders in software development to deploy a broad set of resources and services for on-demand usage. Based on scalability, cost, performance, efficiency, and security these stakeholders can choose from a variety of deployment models for making these resources available over the cloud.
Smart homes, wearables, automated cars are some of the popular concepts that introduced the world with the IoT technology and its potential applications. The continued growth of this technology and its use case realization has created a global IoT market of $389 billion, which is forecasted to reach $1 trillion in 2030 (according to Statista).
Technological advancements and innovations are helping organizations to cope up with the disruption caused by the outbreak of the global pandemic. The IoT industry is no exception.
Once programmers are done writing a piece of code, they need to expose the code over a network for other applications to utilize its functionalities. This is done through web services. Web services are software functions for exchanging data between different applications. SOAP and REST are two examples of protocols or definitions that let web services communicate with each other.
What is IoT? The Internet of Things (IoT) refers to a network of digital devices over the internet that use embedded sensors to transmit user data between them and the cloud. More popularly known for their application in "smart homes", the purpose of these interconnected systems is to make life easier with devices that communicate independently and respond to human stimuli.
The accelerated adoption of digital solutions in the healthcare industry has resulted in satisfaction, accessibility, and cost-effectiveness in the care system. PHI maintenance over the care continuum, improved patient engagement, streamlined administrative operations, better claim management, early disease diagnosis are some of the advantages that healthcare digitization brings along.
Artificial Intelligence (AI) and its multiple sub-domains are being increasingly employed in various industries and businesses to aid in repetitive processes. But there has been a burgeoning interest from established tech giants and startups in using AI to make everyday life a walk in the park.
For more than a decade now, DevOps has been bringing the development and IT teams together to release better software, faster. Despite its relative maturity, this practice still confronts roadblocks that hinder its progress.
The popularity of AI's potential to transform the way industries function has grown immensely in the social media sphere as well. It has grown to become an integral component of social media giants such as Instagram, Facebook, and Twitter. These companies are availing the various benefits of AI like enhanced security, better customer engagement, and in-depth analytics.
Did you know that every large-scale, successful enterprise software has one thing in common? This mascot ensures that the software is able to communicate well with its counterparts, survive load, scale resources, and never let the application go down.
Machines have historically aided humans to maneuver several challenging tasks all through the dark ages and the industrial revolution. A decade after the Enigma machine helped the Allies win World War II, its inventor Alan Turing posed the one question that expanded our horizons for innovation - Can machines think?
Amidst the social-distancing norms of the COVID-19 pandemic, it has become more crucial than ever to come up with innovations in remote patient care. It is no wonder that big tech conglomerates like Amazon and Microsoft are pouring capital into digital healthcare investment, with a special focus on Remote Patient Monitoring (RPM).
Sworkit is a digital health and fitness company based in Bethesda, Maryland. Founded in 2012, it provides customizable workout plans and resources that allow people to adopt and maintain a healthy lifestyle. Their workout offerings are a combination of strength, cardio, yoga, and stretching with some tough nutrition challenges to help people stay fit. The Sworkit app has 10 million registered users with an average rating of 4.5 on iOS and Google Play stores. As of May 2021, the fitness company has worldwide revenue of $90K.
Hospital-based healthcare services are not always viable when it comes to people with special health conditions or geriatric care. Issues with traveling come in the way of healthcare for this class of citizens. Additionally, lengthy hospital stays are reported to cause deterioration in certain medical conditions, especially autoimmune ailments.
The lack of information prioritization in the current healthcare climate has put strict limits on the care that clinicians can provide. To resolve this, innovators of Electronic Health Record (EHR) systems must introduce ways to plan for a patient's health management. This blog discusses how EHR's capabilities can be optimized and extended to make this move.
The Agile development teams are frequently releasing application updates. To avoid delays or failures, they focus on every aspect of the delivery cycle. The DevOps team has started involving the database code in CI/CD pipeline, which was earlier limited to application code only. By doing this, it is ensured that changes in the DB (new features, updates, or bug fixes) reach users as fast as possible.
Biotech and pharmaceutical companies are required to comply with regulations enforced by the US Food and Drug Administration (FDA). Among these regulations is the Current Good Manufacturing Practice (CGMP) which governs the quality control of not just manufacturing practices and facilities but also the technology components of the drug production process.
Telemedicine can simply be defined as online healthcare and diagnosis through apps and videoconferencing. It is lately becoming a widely accepted alternative to physical patient-doctor consultation. Global attention towards providing sustainable telemedicine services has exploded. This has especially been witnessed throughout the accessibility struggles faced during the COVID-19 crisis.
It’s been more than a decade that DevOps as a practice has been bridging the gap between the development and operations teams. It’s breaking down the silos between the two and automating the delivery cycle. Just like we implement DevOps to the delivery pipeline (to deal with the varying development environment), it is time that we start doing the same for databases.
Finance industry processes are becoming more foolproof and efficient due to automation. There is plenty of evidence to showcase the growing impact of Machine Learning (ML) and its wide acceptance across various use cases in capital markets.
The radiology wing of hospital systems and diagnostic centers generates an abundance of sensitive data. However, they often lack the analytics infrastructure to access and parse the data efficiently. To make the most of this available big data, radiologists are leveraging AI-based imaging analytics.
Technology is spreading its wings to provide a profusion of opportunities. We have millions of smart, interconnected devices and complex systems that are enabling us to do much more than human potentiality. But the hard fact is, these systems are not foolproof and highly vulnerable to cyber-attacks.
The COVID-19 pandemic has put tremendous pressure on the healthcare system, globally. Hospitals have experienced a surge in the volume of patients. The hospital staff has been asked to perform roles they were unfamiliar with. Many hospitals even stopped elective procedures and consultations to ensure that COVID-affected patients are attended well.
According to the ergonomics of human-system interaction, User Experience (UX) is a person’s perceptions and responses that result from the use or anticipated use of a product, system, or service.
A lot of people, especially women, take a break from their careers due to different reasons. After a long break, there is a high probability of women who might doubt if they should get back to their careers or continue with their lives.
Machine Learning (ML) is one of the most versatile technologies of Artificial Intelligence (AI). The healthIT sector has realized the importance of ML in the prediction, management, and treatment of various health issues. These days, researchers are coming up with some innovative ways in which machine learning is improving the quality of patient care.
The worldwide public cloud services market is expected to be valued at $304.9 million by 2021. Businesses are going to increase their spending on the public cloud with SaaS, LaaS, DaaS, and IaaS services in the mainstream.
It was the 1950s' when Alan Turing conceptualized Artificial Intelligence. Nobody would have imagined the vast array of applications that this technology could offer. He formed the mathematical & logical reasoning behind the concept of machines and computers replicating human intelligence, which today has outgrown to even replace humans for certain tasks.
At the I/O 2021, Google announced the release of Flutter 2.2, the latest release of the open-source toolkit for building cross-platform apps. The new version now makes it easier to monetize the app through in-app purchases, add payments and ads to the application, connect to cloud services & APIs that help in extending app functionality, etc. Apart from this, Flutter is updated with new tooling and language features that help developers increase app performance and reduce the package size.
Software development is the biggest trend in the IT industry. Digital transformation, software modernization, cloud computing are some of the sought-after practices to prepare businesses for the current and post-COVID scenario.
Where there is a necessity, there is an invention. When the F&B (food and beverages) industry saw a downfall, it looked out for ways to rise above the COVID-19 pandemic. Some of the innovative concepts such as contactless dining, DIY meal kits, cloud kitchen, etc. have been enabling F&B players to sustain their business & recover losses.
The COVID-19 pandemic has taught us to deal with uncertainties. It made us realize the power of digitization and unveiled ways for sustainable recovery from the losses.
Modern technology adoption is at its peak nowadays. Businesses are investing in Artificial Intelligence (AI), the Internet of Things (IoT), Public Cloud services like never before. These technologies are a great help to overcome the consequences of the COVID-19 pandemic, smoothen the existing processes, and build a roadmap to digital transformation.
COVID-19 pandemic grievously affected businesses in 2020. Unfortunately, the situation has worsened in 2021. Businesses, thus, are taking the road to digitization to minimize the impact of the pandemic.
Enterprises are realizing the importance of cloud infrastructure, like never before. They are leveraging the best of all cloud providers to optimize cost, performance, monitoring, and disaster management. That is why multi-cloud platforms are a great hit amongst the IT team of enterprises (of all levels).
When the COVID pandemic hit the world, nobody could gauge the magnitude of devastation it would cause businesses. Amongst the various sectors that were grossly affected by COVID-19 was Food & Beverage. The global lockdown resulted in the shutdown of restaurants and other eateries, which consequently gave rise to new foodpreneurs and viable concepts that could let the people enjoy their favorite delicacies at home. One such concept is ‘Cloud Kitchen’ and experts could foresee it as the future of the food industry.
Gurgaon, 14th April 2021: Daffodil Software, a leading software engineering company based in India, today announced its debut in the Everest Group PEAK Matrix Assessment 2021. The company is positioned amongst the renowned names under the Software Engineering Services category.
Public cloud computing is one of the fastest-growing segments of IT spend. With this, the CIOs have got a major responsibility of investing the budgets wisely. Availability, data sovereignty, performance, regulatory compliance are some of the factors that are strictly considered while choosing a cloud provider and investing in its services.
Cloud cost optimization in simple terms is attaining the proper balance between performance and cost and then maintaining it. It is the process of decreasing overall cloud spend by distinguishing mismanaged resources, discarding waste, holding capacity for higher discounts, and right-sizing computing services to sales.
Public cloud services and their on-demand, scalable models are enabling organizations to achieve cost-efficiency and business continuity. With public cloud being the ‘new normal’, organizations are improving their digital transformation plans.
“96% of acute care hospitals in the United States use a certified EHR platform by HHS.” Electronic Health Records (EHR) promote continuity of care, simplify patient data collection, and decrease overhead costs. In addition to this, EHR platforms have helped care providers to reduce mortality rates for chronically ill patients.
In response to the COVID-19 pandemic, healthcare providers turned up to digital innovations such as the enablement of remote monitoring, virtual consultations, e-visits, etc. While these tech-health options (also known as telehealth) proved to be a great support during the pandemic times, the old-school, in-person visits & consultation remained indispensable. That is why hybrid telehealth is gaining ground in the healthcare industry.
CMMI (Capability Maturity Model Integration) is a process and behavioural model that assists organizations to streamline their processes efficiently and encourage productivity, promote efficient behaviour to decrease risk in software, product and service development.
“A picture is worth a thousand words. An interface is worth a thousand pictures.”
Design-led businesses swear by the principles and processes that have a human-centered core. Design thinking, which is a creative problem-solving approach enables businesses to focus on the people they are creating for. This, consequently, leads to better products, services, and internal processes.
The COVID-19 pandemic accelerated the digitization of business processes. While numerous tools supported rapid digitization, it somewhere impacted security, observability, traceability, and compliance of the digital solutions.
By 2024, low-code will be responsible for 65% of application development activities, according to Gartner. The pressure to deliver digital solutions in response to the COVID-19 pandemic has accelerated its adoption.
Being on the cloud comes with a cost. And as more and more organizations switch to the cloud, there arises a need to have a mechanism to control the rising cloud costs.
Most IT departments tend to disregard the fact that cloud resources are metered which often leads to a spike in data fee. To this end, companies need to hire a cloud economist.
Ordering food has come a long way from having to call our nearby restaurant to now selecting from a wide range of menus, cuisines, restaurants all at the best pricing thanks to food apps. And the ones who make it all possible are the on-demand food delivery service providers. One such is of course, DoorDash, probably one of the biggest names around today.
It’s crucial to know how MIPS (Merit-based Incentive Payment System) can benefit medical professionals and practitioners. MIPS participation can help the eligible clinicians in their practice as well as payment adjustments. The question is, how though? Let’s learn how MIPS can benefit you and what are the four categories on which you are assessed as a clinician.
The healthcare industry has seen a drastic shift from paper to digital in the recent past. Several hospitals, clinics, healthcare practitioner’s offices, and facilities are increasingly switching to storing and maintaining patient medical records digitally.
There has been an incredible progression and development in the domain of QA testing with the recent patterns getting introduced in the industry. The introduction of these creative advancements led to new updates in the software testing, development, design and delivery scenario.
Many working professionals reach a stage or come across an event in their life when they decide to take a career break. Unfortunately, our culture is such wherein the majority of that working population is women. One of the most common reasons for women taking a career break is childbirth but there can also be other personal reasons which requires you to take a break in your professional journey. As an organisation, we have decided to remove the stigma of a career break by launching our #breakthebreak program. People go through a complete metamorphosis not only while taking a sabbatical but also while walking back into corporate life again.
In a rapidly changing software-driven scenario, businesses need to switch to Cloud-native application development. And subsequently, comes the need for testing in a cloud-native environment.
The two most prominent ways to deploy your applications to the Microsoft Azure cloud are: Azure App services and Cloud services while Service Fabric is a container orchestrator for deploying microservices across machines.
Have you ever thought about what will happen if our smartphones, tablets, and computers acquired the ability to sense our emotions? Imagine a world where machines can identify us, feel our presence, and interact with us the way we interact with each other. A world where machines can judge what we are feeling based on our facial expressions, hand gestures, eye movement, and our voice tone while speaking. All these things will soon be a part of the world we are living in and will be achieved with the help of Blue Eyes technology.
We are all aware of chatbots and how they interact with us. And we all have invariably wished if only they were more human-like.
Admit it, it is pesky to be interacting with a bot especially when it fails to understand your core issues. That’s when you wish if only you were talking to a human than a virtual assistant.
2020 changed life as we knew it. And along with it came the adaptability and emerging trends in several areas of life. The medical world is one of them. Digital Health and Virtual Care evolved from mere convenience to an absolute necessity over the last few months
Distributed Cloud is being hailed as the next generation of Cloud Computing.
Shifting to a cloud is beneficial to businesses. But which model is the most suitable for your organization takes some thought.
It was 31st December when WHO’s Country Office in the People’s Republic of China got the news from a media statement by Wuhan Municipal Health Commission, of a case of “viral pneumonia” in Wuhan, capital of Central China’s Hubei province. What seemed to be a “viral pneumonia”, after detailed studies were coined as a novel coronavirus, thus marking the inception of the COVID-19 pandemic.