Showing posts with label digital transformation solutions. Show all posts
Showing posts with label digital transformation solutions. Show all posts

Monday, 26 September 2022

Solution Analysts is one of the top-notch IT solutions providers in USA and India




 Solution Analysts, a leading digital transformation and enterprise software development company that specializes in developing custom solutions in the domains of IoT, Robotic Process Automation (RPA), Enterprise Mobility, Mobile App Development, SAAS based Application Development, Cloud Computing Solutions , DevOps Solutions, Data Engineering and AI Engineering Services. 

Since inception in 2011, our vision of bringing automation and convenience for our clients based across more than 19 countries worldwide; has led us to develop more than 1100 custom State-of-Art digital transformation solutions which not only simplified business processes but also has significantly reduced costs, increased revenues and has empowered enterprises to make more data driven decisions.

With teams and associates spread across the globe, Solution Analysts is headquartered in India and USA. Our expert team consists of over 200+ dedicated professionals who follow agile practices to ensure that they are able to develop projects of any size and scale. 

Our portfolio which boasts of 700+ international clientele who can vouch for standard of code quality, following industry best practices, high standard of business ethics whilst having high attention to detail. At Solution Analysts, our endeavour remains to add value to the client's business by providing end-end custom solutions for their business.

Top Achievements:

•ISO 9001:2015 certified Agency

•200+ expert resources available with varied experience in Iot, Mobile, Web, Cloud, DevOps, DataOps and RPA services

• 1100+ digital transformation solutions developed till date

• 100% Success Score & Quality Assurance

• 82 Testing Devices

• 7+ Developed Android & iOS SDKs

Feel free to contact us at info@solutionanalysts.com to get a free quote and technical assistance for your app and web project. To know more: www.solutionanalysts.com

Monday, 20 December 2021

Role of Artificial Intelligence and Machine Learning in DevOps Transformation


DevOps is a buzzword in the corporate sector these days. Enterprises can come up with robust software in a short time and with minimal issues with the help of DevOps development services. Automated tools can accelerate the time-to-market (TTM) and fix all the bugs in a relatively short time during the deployment phase. 

Here, AI is can assist DevOps to automate various processes while identifying patterns and anticipating issues in advance. 

Both AI and ML technologies enable developers to take a proactive approach to improve the overall efficiency of the software development lifecycle. Let’s understand the role of AI in transforming DevOps from the perspective of an AI app development company

Significance of AI and ML in DevOps Transformation

DevOps has to cope with a multitude of concerns ranging from a paucity of skills and an older toolset. What’s more, patchy adoption of DevOps is problematic and a bit challenging. Here both AI and ML-based techniques could act as a panacea to these issues. 

AI can reduce the operational complexities arising due to the highly distributed nature of the toolsets. Here is how both these technologies impact transforming DevOps development services. 

Five Ways AI and ML Bring Transformation in DevOps

Planning, creation, verification, releasing, and monitoring- AI touches every aspect of the development lifecycle. Let’s dig deep into the benefits of AI and ML. 

Improved Data Correlation

One of the biggest benefits of AI app development is it can analyze data across different development and deployment environments. In DevOps, every team and their environment has its own set of issues and loopholes. 

We can apply AI after bringing all the issue data into a single data lake, it can improve the correlation of data from multiple platforms thereby accelerating the learning cycle. We can understand this by taking the example of monitoring tools. 

Here, monitoring tools can capture them in real-time, and AI technology can improve the correlation of data across multiple environments. Monitoring tools are powered by ML to uncover insights from data streams. 

This can help DevOps professionals to get an accurate and wholesome picture of the development process.

Quicker Resolution

When it comes to digital transformation solutions, any software bugs or issues can have a devastating impact on the performance of enterprises. In this challenging and competitive era, it is imperative to identify and resolve such performance-related issues quicker for enterprises and DevOps alike. 

Here, a combination of AI and DevOps can play a vital role. AI can help prioritize the most critical issues of the particular app or software and collect all the relevant information to detect them. 

What’s more, AI can also recommend a prescriptive solution. Such prescriptive AI systems can provide highly accurate recommendations and help companies resolve issues more quickly. 

Originally Source: ai and machine learning in devops transformation

Tuesday, 14 December 2021

Impact of AI and ML on Developing Enterprise Mobility Solution in 2022

 


We live in a data-driven world in which evolving technology touches every facet of our life. Smart devices and advanced tools can meet our needs in-home and at the workplace. Entrepreneurs have embraced this trend and started integrating digital transformation solutions to leverage its benefits. 

In this article, we are going to discuss the role of AI and ML technologies in developing customized enterprise mobility solutions. 

Both AI and ML technologies are around us for quite some time. They have brought the maximum impact in the corporate world. 

These days, many entrepreneurs tend to jump on the mobility bandwagon and it is interesting to see how both these futuristic technologies influence the development of an enterprise mobility solution. 

It is fair to mention that mobility and intelligence are two core aspects that drive almost all human decisions. 

Before digging deep into the role of AI and ML in mobility, let’s understand the key terms. 

Enterprise Mobility- Scope and Capabilities

Enterprise mobility solution is aimed at driving employee productivity, overall performance, cost efficiency, and profitability. Enterprise mobility can enhance the customer experience to ensure the sustainability of your business. 

Simply put, enterprise mobility can enhance the company’s ability to utilize the latest mobile technologies to perform and manage various business activities anytime and from anywhere. 

Talking about Enterprise Mobility Management (EMM), the right combination of processes, technologies, and people to manage, secure, and monitor the usage of company devices, networks, and applications within a secure environment is known as EMM. 

Artificial Intelligence- Importance in Enterprises

AI technology empowers machines to learn from observations and experience and exhibit human-like performance. AI-based concepts like NLP (Natural Language Processing), predictive analysis, and deep learning, are useful in processing zillions of data and extracting actionable insights. These insights enable machines to act like humans. 

Any machine with the ability to implement cognitive activities like learning, answering, and reasoning can be said to have got artificial intelligence. AI technology works in a specific manner to bring automation in various processes. 

An AI app development company can come up with a customized app that has features based on AI and ML technologies. Modern enterprises can resolve queries and automate various processes effectively using AI. 

The combination of AI and enterprise mobility contributes to maximizing business outcomes. On one hand, enterprise mobility enables your company’s employees to work from anywhere and stay productive. On the other hand, AI can automate several processes thereby saving a lot of time and effort. In a way, employees remain efficient and productive. 

Here is how these technologies influence enterprise digital transformation

Top Ways AI and ML Influence Enterprise Mobility Solution

We live in a mobile-driven world. Several leading smartphone makers have started imbibing features based on AI and ML technologies. A mobile app development company can utilize these features to make customized enterprise apps. 

Smart devices for better analysis

Built-in language translation, improved security, and capability to analyze the user’s behaviors- these are some of the AI-driven features in smart devices or smartphones that remain useful for enterprises. 

Machine Learning can enable such devices to manage and optimize resources as per the analysis of the available data. An AI app development company can make apps capable of acting as per the user’s behavior and data pattern. 

Originally Source: AI and ML on Developing Enterprise Mobility Solution

Wednesday, 8 December 2021

Top Reasons to Implement AI and ML in Your Existing Application


Machine Learning (ML) and Artificial Intelligence (AI) are two futuristic concepts that make enterprises ready to grab new opportunities. As crucial components of digital transformation solutions, both ML and AI can take your company to a new level. 

In this blog, we are going to discuss the ways to implement AI and ML in enterprise mobility solutions and their benefits. 

In this machine-driven age, businesses can thrive by having machines capable of learning the behaviors of users and customers. 

Such machines can give actionable insights, contribute to bringing automation, and enable entrepreneurs to make meaningful decisions. Integration of AI and ML-based features can make machines ready to ‘learn’ from past experience. 

An AI app development company can integrate AI and ML-based functionality in existing business apps. Entrepreneurs can contact reputed AI app development companies to make the most of these revolutionary technologies. 

Once considered as the top complicated technology to work on or understand, today, AI has become an integral part of enterprise mobility solutions. 

Some of the most useful and popular uses of AI in top-notch apps include smart replies in Gmail, object identification in Pinterest, predictive search in Google, and personalized recommendations in Amazon. 

In the coming years, more funded startups and SMEs will also integrate AI-powered features in their dedicated apps. 


When it comes to enterprise mobility solutions, three noteworthy ways are used by the machine learning development company to implement AI and ML. This implementation can make the application more efficient, intelligent, and smarter. 

Logical Reasoning

An ultimate goal of AI technology is offering the power of reasoning for solving repetitive and critical problems. AI can harness thinking capacities in enterprise apps. 

It makes AI ready to beat humans at chess and gives proper guidance. In other words, real-time quick decisions can be effectively controlled by AI, and entrepreneurs can give the best customer service. 

Behavioral Analysis

It is necessary to know the user’s purchasing patterns and other online activities. The BFSI sector can leverage this functionality to find fake online transactions as well. 

Every time, if someone tries to steal the data and initiate an online transaction without the owner’s permission, the AI-based app can easily track the uncommon behavior and stop the transaction. 

Originally Source: implement artificial intelligence machine learning into apps

Friday, 1 October 2021

Artificial Intelligence: The impacts of the Top Industries in 2022

Artificial Intelligence (AI) technology has a momentous impact on the corporate world. This futuristic technology can take the user experience to a new level while streamlining the core processes effectively. Conveniences like voice assistants, personalized recommendations, and suggested reading are based on AI. 


 

As a vital aspect of a digital transformation solution, AI impacts all the major industries ranging from finance to healthcare. 

AI has already revolutionized the ways people work and live. Let’s understand how AI will reshape core industry sectors with its tremendous capabilities of bringing advancements in workflows. 

Impact of AI on Core Industry Sectors

AI-powered enterprise-grade applications can enhance customer services, optimize supply chains, automate mundane processes, and improve workflow. 

Artificial intelligence app development can enable entrepreneurs to leverage these benefits to improve overall performance and efficiency. 

BFSI or Financial

The thriving BFSI or financial sector needs breakthrough technology. AI can deal with the vast volumes of data, numbers, and stats collected in the finance sector. Financial firms rely on AI for offering secure and personalized experiences for their customers.

AI-powered chatbots are considered the most commonly used application in banks and other financial institutions.

AI can also help automate and improve operations ranging from payment history analysis to fraud detection. 

AI has cognitive logic and predictive analytics functionality for making financial institutions ready for the future. As a part of digital transformation in the fintech sector, AI drives the growth in the concepts of fintech and open banking across the world. 

Education

Education is another big beneficiary of AI technology. It is one of the professions where AI has a significant impact. An AI application development company can assist colleges, universities, and educational institutes to come up with advanced and interactive apps. Educators can make online education in this pandemic age as well using AI technology. 

AI assists education institutions to connect and provide learners with various routes in an interactive way. 

For example, AI-based apps have prediction algorithms that may support learners in taking and sharing tests to improve their cognitive capabilities. AI also helps kids learn more interestingly and enthusiastically. 

AI-based learning materials can be tailored in line with the student’s requirements and expectations. 

Originally Source: impacts of artificial intelligence for top industries