The Client developed a specialized niche platform designed to streamline logistics for the cell and gene therapy (CGT) sector. Its innovative, expert solution offers a centralized, seamless interface that allows users to book, manage, and track shipments with multiple specialty couriers, including World Courier, Marken, and QuickStat.
Visit and Explore Our Blog
Discover the Elegant MicroWeb Difference
Should I Include AI In My Software Development Strategy?
Whether you are a business owner, a business manager, a team member or a consumer, the chances are good you have read articles and seen media coverage of the influence of AI. There is no doubt that Artificial Intelligence (AI) has already had a profound impact on business, everyday life and our perception of what technology can do.
A recent study by Forbes revealed that:
- 64% of businesses expect AI to increase productivity
- 72% of businesses have adopted AI for at least one business function
- Healthcare and automotive industries are expected to see the most impact from AI use
- Over 60% of business owners believe AI will improve customer relationships
‘AI is evolving rapidly and it will continue to do so. It provides significant potential and it can serve your business today with customer-facing and internal applications, software and products that will provide a competitive edge and improve your productivity, market reach and customer satisfaction.’
If your business is considering AI as part of your technology strategy, you may be stalled in the process because you are unsure. Business concerns often include:
- Is AI capable of meeting my business requirements?
- Will AI be flexible enough to accommodate future requirements?
- Will AI development be expensive and complex?
- Can AI truly take my development project to the next level?
By leveraging AI, businesses can tap into its numerous benefits and advantages, positioning themselves for continual success and growth. Here are a few reasons why an endeavor into AI development must be considered:
- Competitive Advantage – Businesses can secure an edge over their competitors through the use of AI technologies that amplify productivity, decision-making processes, and consumer experiences.
- Personalized User Experience – AI technology allows businesses to effortlessly examine consumer behavior and preferences, enabling the provision of products, recommendations, and services tailored to their precise needs.
- Data-Driven Insights – AI-based solutions help businesses forecast business trends, identify patterns, and make informed decisions by analyzing vast amounts of data and extracting invaluable insights, paving the way for better planning.
- Operational Efficiency – By automating repetitive tasks, streamlining workflows, and optimizing resource allocation, AI-driven software helps businesses simplify their operations, improve productivity, and reduce costs.
If you are considering the use of Artificial Intelligence (AI) and you want to leverage its potential today, there are many ways to do so without overreach and risk. AI is evolving rapidly and it will continue to do so. It provides significant potential and it can serve your business today with customer-facing and internal applications, software and products that will provide a competitive edge and improve your productivity, market reach and customer satisfaction. With the right planning and integration, and the right Artificial Intelligence (AI) development partner, AI technology can serve your business and your customers and team with competitive products and services and tools that will improve workflow, customer satisfaction, and time-to-market.
‘By leveraging AI, businesses can tap into its numerous benefits and advantages, positioning themselves for continual success and growth.’
Explore our expert Artificial Intelligence Development services. Discover our Software Application And Maintenance Services, Software Application Development Services and ongoing technology support. Build Your Software Team using our resources, skills and experience. Explore the benefits of Artificial Intelligence (AI) development in our free White Paper: ‘What Is Artificial Intelligence Technology And How Can It Help My Business?,’ and ‘The Practical Use Of GenAI In Business Intelligence And Analytics Tools.’
The Client has a start-up business in the United States. This Client is focused on the recruitment technology market. Its business focuses on improving efficiency and quality of the complex process of sourcing in the recruitment industry. The Client business mission is to leverage artificial intelligence (AI) to improve the efficiency and speed of sourcing the best candidates.
AI and LLMs Support Developer and DevOps Productivity
A recent Copilot study revealed an interesting fact about the use of AI and Large Language Models (LLM) in the software development process. The study included developers from Microsoft, Accenture, and a Fortune 100 electronics firm and reported a 26% boost in productivity, increasing output from the usual eight hour workday to what amounts to ten hours of traditional output. This improved output increased even more for less experienced developers.
By leveraging Artificial Intelligence (AI) and Large Language Models (LLM), the DevOPS organization can greatly improve output, code quality, developer productivity and consistency. As businesses embrace the collaborative and team-oriented concepts of DevOps, the use of AI and LLMs can be utilized across the organization, and forward-thinking organizations are looking at the set of practices in DevOps (software development IT operations) to automate processes and accelerate the software development lifecycle.
Where software vendors employ these techniques, clients, customers and end-users can benefit from this approach. The development team can work more quickly and efficiently to satisfy requirements, design, develop and test and deploy, so business projects can be completed more rapidly and dependably.
If a business is considering a vendor or a software product for implementation within the walls of the enterprise, it is worth asking the prospective vendor and service provider how they are currently using cutting-edge technology to improve their development process and lifecycle.
Elements and Aspects of AI in Software Development
Prompt Engineering uses natural language interfaces to study interactions with and the programing of LLM computation systems to enable complex problem solving, looking for patterns and focusing on reusable solutions. Infrastructure-as-Code (IaC), Code-as-Data and CodeQL LLMs support developers by exploring the code, studying requirements and documentation and analyzing infrastructure to find issues and inconsistencies.
Automated Code Generation allows the development team to optimize testing and deployment. Developers can use AI code review tools like Codiga and testing tools like DiffBlue Cover to review and analyze code and find issues, and AI-based code generators like GitHub and Copilot.
Generative AI (GenAI) leverages LLMs to streamline the steps in the development process, including analysis of requirements, coding and testing.
Natural Language Processing (NLP) enables code generation with machine learning and produces suggestions to develop or complete code, thereby reducing the occurrence of human error and allowing developers to focus on other, more complex aspects of code and development.
Testing and Debugging can be automated to detect and address bugs, inefficiencies and vulnerabilities in the code. These tools can be used to generate unit tests, create test cases and increase the effectiveness of the testing phase to improve overall quality.
Translation Tools enable translation of other programming languages for projects where the team must migrate code to other programming languages. The process uses large language models to complete the translation, leaving developers free to focus on architecture.
Documentation Support includes development of documents for code comments, regulatory requirements etc. Prompt Engineering generates summaries and answers questions and provides examples so developers who review the code for later upgrades have appropriate documentation to support the software evolution.
Project Management for all of DevOps is supported by automated routines and integration of information and documentation throughout the process, monitoring system performance, analyzing test results and optimizing implementation. The ongoing analysis of test planning, data migration, compliance documentation and architecture supports the entire DevOps team.
If your business wishes to improve productivity, timelines, budgets and dependability of in-house applications, you will want to find a vendor and service provider who appropriately employs AI and LLMs to support its development model. If you are planning to engage an IT expert to augment your own software product or solution, it is wise to look for this capability when you interview prospective partners. Contact Us to find out how to integrate AI and LLM capabilities into your software project, website, analytics initiative or other project. Explore our free White Papers: ‘What Is AI And How Can It Help My Business,’ and ‘The Practical Use Of GenAI In BI And Analytics Tools.’
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.
If you have not registered yet, Click Here to obtain your login credentials.
Manuals and Technical Guides
If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!
Original Post : Smarten Support Portal Updates – June – 2025!
Improve Results, Precision and User Adoption with Mobile BI
Two things are true today. The first is that we are a mobile society, tied to our devices, carrying them with us everywhere to stay connected, to get information and to communicate. The second true thing is that we are busier than ever and, if we are to keep up, we must find ways to be more productive. The advent of technology and the rapid pace of change has created a situation where there is always more to do than we have time to do!
When it comes to business, both of these true things are even truer! If we are a business owner or manager we know that we never have enough resources or staff and that the invaluable knowledge of our employees and professionals must be leveraged and optimized if we are to succeed. We also know that most companies today have team and staff members who are not working within the walls of a manufacturing plant or an office. Even in a retail business, our team members are often working after hours or they are on the road visiting suppliers or buyers.
That’s where mobile business intelligence (BI) comes in! Every business needs analytics and data to understand where the business is today, where it is going and what we need to do to keep the business moving on the path to success. But, information is everywhere and it can be difficult to gather it and make sense of it and use it to make decisions.
‘A mobile business intelligence (BI) app should not short change your users with restrictive formats or views.’
By integrating enterprise data and making it available in an easy-to-use mobile interface, you can allow every user in the enterprise to use data in a way that is meaningful to them and to their tasks and decisions and if that analytical solution is available on a mobile device, we enable them to be productive in airports, hotels, at client or supplier offices and while working at home.
According to a recent study by Mordor Intelligence, the fastest growing mobile BI market is in the Asia Pacific region and the largest market is in the United States.
If you are interested in expanding your business intelligence solution to a mobile environment, or in acquiring BI tools for your team, the right Mobile BI solution will:
- Provide a native application with a seamless user interface that supports a great user experience (Ux) for ALL users (even those with average technical skills)
- Be available for iOS and Android
- Be suitable for self-serve analytics to encourage user adoption
- Be easy to deploy and use
- Provide good support
- Be affordable
- Provide support for data democratization and improved data literacy
- Provide suitable return on investment (ROI) and total cost of ownership (TCO)
A mobile business intelligence (BI) app should not short change your users with restrictive formats or views. Look for a solution with:
- Clear, flexible data visualization
- Dynamic charts and graphs
- Supportive dashboards and clear reports
- Clickless analytics that are easy to use
- Key performance indicators (KPIs) and metrics
- Natural Language Processing (NLP) analytics that are intuitive and easy
‘By integrating enterprise data and making it available in an easy-to-use mobile interface, we allow every user in the enterprise to use data in a way that is meaningful to them and to their tasks and decisions.’
If you want to support your business user team and provide a foundation for BI tools that will better serve your team and your customers, explore Smarten Mobile BI benefits and features, with powerful functionality and access for your business users including out-of-the-box Mobile BI and advanced analytics for every team member. For more information on Mobile BI and Augmented Analytics, read our article, ‘Mobile BI Business Use Provides Real Advantages,’ and take a moment to watch and listen to this informative webinar, ‘Smarten Mobile BI.’
Original Post: Mobile BI is Not Just Nice to Have – It’s Crucial!
The Client is a full-service financial firm specializing in mortgage solutions, investment opportunities, and loan servicing. The company provides a robust platform for investors, borrowers, and loan applicants, offering tailored financial products and streamlined processes to enhance accessibility and efficiency. With a strong focus on compliance, risk management, and customer-centric services, it provides solutions for its clients to easily navigate the complexities of mortgage financing while ensuring a seamless experience.
BI Tools with Low Code No Code Development Provide Flexibility
What is Low-Code, No-Code development? Is it important for your business to understand its value and how it can be used in business intelligence? Well, if you are planning to upgrade your BI tools or invest in business intelligence (BI) for the first time, it is important for you to understand the components and how the composition of your BI tools can establish a solid foundation for growth and provide flexibility for change.
Low-code and no-code application development are methodologies for faster and simpler software development. The techniques use platforms and software to minimize code and enable drag and drop and other techniques to simplify and speed the development process.
‘The LCNC approach allows business intelligence vendors to create, configure, integrate, deploy and support BI tools at a lower cost, reducing the cost of the solution and ensuring that your team can transition to a Citizen Data Scientist role.’
According to a recent study:
- No-code and low-code platforms help reduce app development time by 90%.
- 70% of new business applications will use low-code/no-code technologies by 2025.
- Compared to conventional app-building platforms, no-code solutions consume 70% fewer resources.
- Gartner forecasts that low-code adoption will be so widespread that 75% of the software solutions built around the globe will be made with the help of such tools.
So, why would this be important to YOUR business?
- First, the flexibility and speed provided by Low-Code, No-Code (LCNC) development will allow your vendor of choice to quickly and easily respond to the market and provide new features and functionality.
- Secondly, the ease of development allows developers to customize and personalize to respond to your needs.
When Low Code and No Code techniques are applied to business intelligence and augmented analytics solution development, there are numerous advantages. Here are just a few:
Application Development – The low-code, no-code approach reduces the time involved in application development, providing features and functionality to support user needs, supporting data visualization, reporting and a seamless user experience (Ux).
Solution Flexibility – LCNC development allows the development team to achieve flexible data construction and to easily integrate data from disparate data sources, producing an intuitive dashboard view and reports for users, so your team can use advanced analytics without advanced technology skills. Your enterprise can enjoy personalized dashboards and views that are suitable for the team, department, division, etc.
Building for the Future – Low code no code development allows the vendor development team to produce rapid results and to build in flexibility for the future, so BI software can keep pace with the market, with business needs and with your users. This approach allows the development team to support analytics, reporting requirements, data visualization, and data integration and modeling.
Productivity and Resources – Because this approach supports rapid development and creates a responsive environment, business owners and managers can work with the vendor and development team to address new business requirements, support team members with easy-to-use tools and anticipate changes in their competitive landscape with features and functionality that support workflow, business processes and user productivity.
Total Cost of Ownership (TCO) and Return on Investment (ROI) – The LCNC approach allows business intelligence vendors to create, configure, integrate, deploy and support BI tools at a lower cost, reducing the cost of the solution and ensuring that your team can transition to a Citizen Data Scientist role, thereby holding costs for data scientists, etc. The BI tools included in the technology stack will be affordable and provide a solid foundation for cost-effective growth.
‘The flexibility and speed provided by Low-Code, No-Code (LCNC) development will allow your vendor of choice to quickly and easily respond to the market and provide new features and functionality.’
What is Low-Code, No-Code development? Is it important for your business to understand its value and how it can be used in business intelligence? Well, if you are planning to upgrade your BI tools or invest in business intelligence (BI) for the first time, it is important for you to understand the components and how the composition of your BI tools can establish a solid foundation for growth and provide flexibility for change.
To learn more about the use of Low-Code/No-Code Development in augmented analytics and business intelligence tools, explore our free article, ‘Low-Code, No-Code In Analytics.’
Find out how to ensure Return on Investment (ROI) and Total Cost of Ownership (TCO) results, gain a competitive market advantage, and enable user adoption, read our free White Paper, ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’ Explore The Benefits of our Augmented Analytics And BI Tools, Contact Us. Keep pace with changing enterprise needs and support business agility. Let us help you realize your business goals and objectives with fact-based information, and flexible, scalable technology solutions that will support Citizen Data Scientist initiatives, and improved data literacy and data democratization.
Original Post:
How Does Low-Code, No-Code Development Support BI Tools?
The Client is a renowned refinery and industries business in India with a global business. It produces soy bean, refined rice bran, coconut and other related edible oils, as well as personal care oils, bio-diesel and speciality fats. The Client provides cost-effective solutions through augmented productivity, innovation and economies of scale and is committed to cutting-edge technology and processing to achieve its vision and a competitive advantage.
Use Data Quality and Data Insight Tools to Avoid ‘Bad Data’
When a business sets out to initiate data democratization and improve data literacy, it must choose the right approach to business intelligence and select an augmented analytics product that is self-serve, intuitive, easy to implement and easy for business users to embrace. Transitioning business users into the role of a Citizen Data Scientist can be challenging.
By some estimates, bad data costs global organizations more than five trillion USD annually, and at the enterprise level, the quality of data can be a burden on IT, analysts and business users and acceptance of bad data can be inherent in business processes. Improving the overall quality of data increases confidence in decisions, reporting, strategies and the adoption of dependable analytical models across the organization.
When a business implements Data Quality, Data insight and Data Quality Management tools and techniques it can establish a comprehensive process with a solid set of tools to identify errors, enhance data quality, and boost productivity. Business users can leverage intuitive tools to uncover hidden insights and improve the overall quality of data with actionable recommendations to take prompt action.
Benefits:
- Ease-of-Use and intuitive tools for business users and team members – no technical skills required
- Improved accuracy and dependability of data for confident decision-making
- Data Quality supported by statistics and machine learning to assure credibility
- Improved data insight without delays or re-work
- Assured agility and decentralization of analytics
- Consistency of data quality and availability
- Improved User Adoption
Data insight takes data to the next level by providing comprehensive data analysis and quality assurance features that empower business analysts and users to quickly and easily identify errors, enhance data quality, and boost productivity. The business can harness the power of statistics and machine learning to uncover those crucial nuggets of information that drive effective decision, and to improve the overall quality of data. This approach allows users to let the system do the work for them and make confident decisions.
A foundational augmented analytics solution with machine learning, natural language processing and automation within an advanced analytics solution suite can improve results and support its team with augmented analytics designed as self-serve solutions for business users. Users can gather and analyze information with assurance of sustained data quality and produce results that are clear and concise.
Advanced data management features ensure data quality and provide crucial data insights with tools like Column Analysis, Feature Importance, Missing Value Analysis and Observations. Tools that support data insight include numerous data quality management techniques. These tools allow users to see and work with datasets in a way that is targeted and provides clear, actionable information for decisions and strategies.
If your business wishes to improve the easy of analytics and Quality Of Its Data and achieve data insight in a timely, dependable manner, find out more by watching this free Smarten Webinar: ‘Improving Data Quality With Data Insights,’ and read our free blog article, ‘Balance Data Quality With Data Agility.’ Explore our Smarten Augmented Analytics Products And BI Tools.
Original Post : Use Data Quality and Data Insight Tools to Avoid ‘Bad Data’!
