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Look For a Software Development Partner That Uses AI and LLMs

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June 25, 2025

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

The Use of AI and Large Language Models (LLM) Improves the Development Process

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.’

Original Post: Look For a Software Development Partner That Uses AI and LLMs!

Smarten Support Portal Updates – June – 2025!

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June 23, 2025

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.

Knowledgebase Articles

  1. Datasets & Cubes : Handling multiple JOINs through Step by Step Procedure to create a dataset
  2. Smarten APIs : Dataset Management : Get Dataset
  3. Crosstab : Making use of Cell references
  4. Geomap : Workflow to create Default geomap

Predictive Use cases

  1. Assisted predictive modelling : Regression : Medical Cost Prediction Using Smarten Assisted Predictive Modelling
  2. Assisted predictive modelling : Hypothesis : Independent Sample T-test Using Smarten Augmented Analytics

Business Use Cases

  1. Business Scenarios : Calculation of Working Days Excluding Plant-Specific Holidays and Sundays
  2. Business Scenarios : Find out the frequency of repetition of dimension value combinations – e.g. frequency of combination of bread and butter from sales transactions

Manuals and Technical Guides

  1. Smarten Working with Real time data
  2. Smarten Concept Manual SnapShot
  3. Smarten Working with Multitenancy

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!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – June – 2025!

Mobile BI is Not Just Nice to Have – It’s Crucial!

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June 18, 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.

Mobile Business Intelligence (BI) Provides Critical Support for Business Growth and User Adoption

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!

Case Study: Elegant MicroWeb Case Study – Offshore Support for Investor, Borrower and Loan Asset Mortgage Management Platform

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June 12, 2025

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.

Continue reading “Case Study: Elegant MicroWeb Case Study – Offshore Support for Investor, Borrower and Loan Asset Mortgage Management Platform”

How Does Low-Code, No-Code Development Support BI Tools?

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June 11, 2025

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.
Low-Code, No-Code (LCNC) Adds Flexibility to Business Intelligence Solutions

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?

Case Study: Elegant MicroWeb Case Study – Vendor Onboarding Workflow & Approval App for India Refinery

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June 2, 2025

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.

Continue reading “Case Study: Elegant MicroWeb Case Study – Vendor Onboarding Workflow & Approval App for India Refinery”

Use Data Quality and Data Insight Tools to Avoid ‘Bad Data’

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May 27, 2025

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.

Data Analytics Tools with Data Quality and Data Insight Features Assures Confident Decisions

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’!

White Paper – The Potential of the Citizen Data Scientist Approach and Augmented Analytics

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May 27, 2025

White Paper – The Practical Use of GenAI in Business Intelligence and Analytics Tools

The Potential of the Citizen
Data Scientist Approach
and Augmented Analytics

Understanding the role of a Citizen Data Scientist and the opportunities provided by this approach is the first step in leveraging the Citizen Data Scientist approach. Engaging a vendor and choosing the right Augmented Analytics Business Intelligence tools, services, training and deployment will ensure success. The prospect of transforming business users into Citizen Data Scientists may seem daunting but, with the appropriate planning and support, and the appropriate Augmented Analytics solution, the initiative can be extremely successful.

Download the Whitepaper

Analytics and Citizen Data Scientists Ensure Business Advantage

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May 21, 2025

Fact-Based Analytics and Citizen Data Scientists = Results

So, you want your business users to embrace and use analytics? You want your business to enjoy the benefits of fact-based decision making? You want your business to use the tools of business intelligence to improve market presence, customer satisfaction and team productivity and collaboration?

‘Whether you are trying to solve a business problem, get to the heart of that problem, find a business opportunity, predict the need for resources, new products or locations or understanding changes in your customer buying behavior, you don’t have time to learn complex tools or take training in analytics.’

Gartner has predicted that, ‘a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.’ And that is the good news. But, if the business is to leverage the potential of analytics within the organization, it must choose the right analytics tools to ensure that business users will adopt analytics in day-to-day tasks.

If your enterprise wishes to transition business users into Citizen Data Scientists and use augmented analytics to gain a competitive advantage, it must provide easy-to-use tools that do NOT require team members to be business analysts or IT professionals – tools that allow users to quickly gather data using self-serve data preparation, using data integrated from disparate data repositories with smart data visualization to view, format and share results that are clear, concise and actionable.

The business market is more competitive than ever and in today’s environment it isn’t enough to simply analyze historical data. To make good business decisions, adjust strategies and forecast and plan, you must use that historical data to plan for the future.

Businesses that can gather data from disparate sources and use historical data to understand trends and patterns and forecast for the future can establish and sustain a competitive advantage and plan more effectively and accurately, avoiding missteps in the market and costly mistakes.

If your business wishes to sustain a competitive advantage, if you as a user wish to advance in your career and build your value to the organization, it is incumbent upon you to embrace the trend of data democratization, data literacy and self-serve, augmented analytics.

For Competitive Advantage, Enable Citizen Data Scientists with Augmented Analytics

Today, augmented analytics and smart data discovery make it easier for business users, data scientists, IT staff and the organization to benefit from fact-based decision-making, collaboration, data literacy and the ability to easily, gather, integrate and analyze data.

Whether you are trying to solve a business problem, get to the heart of that problem, find a business opportunity, predict the need for resources, new products or locations or understanding changes in your customer buying behavior, you don’t have time to learn complex tools or take training in analytics.

What you need are apps and solutions that allow you to ask easy questions in your own words and receive guidance and recommendations on how to best visualize and present your data and what techniques to use to gain the most insight.

Use a simple low-code, no-code analytics platform and augmented analytics and BI tools designed for business users with real-world business cases to find answers and solve problems. You can untangle quality and maintenance issues, refine customer targeting and marketing optimization, make appropriate financial investment decisions, and even use external data to analyze trends and patterns and make forecasts and predictions, helping users and the business to achieve success in industries and businesses like retail, pharmacy and wellness, insurance, manufacturing, government and public sector, utilities, and other industries.

‘If your enterprise wishes to transition business users into Citizen Data Scientists and use augmented analytics to gain a competitive advantage, it must provide easy-to-use tools that do NOT require team members to be business analysts or IT professionals.’

To find out more about 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 : Analytics and Citizen Data Scientists Ensure Business Advantage!

Case Study: Elegant MicroWeb Case Study – Minimum Viable Product (MVP), and AI Integrated Web and Mobile App Development for U.S. Start-Up Holistic Healthcare Business

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May 16, 2025

The Client is a start-up healthcare technology company, based in the United States. It takes a holistic approach to overall health by focusing on nutrition and lifestyle, with the goal of decelerating the aging process and providing better quality of life.

Continue reading “Case Study: Elegant MicroWeb Case Study – Minimum Viable Product (MVP), and AI Integrated Web and Mobile App Development for U.S. Start-Up Holistic Healthcare Business”