Tag: AI Application Development

Why Include AI In Your Upcoming Software Development Project?

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July 1, 2025

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:

Breathe Life Into Your Business and Consumer Products with AI Features

  • 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.’

Original Post: Why Include AI In Your Upcoming Software Development Project?

Case Study: Elegant MicroWeb Case Study – AI-Enabled Minimum Viable Product (MVP) and App Product Development for U.S. Recruitment industry Start-Up Sourcing Platform

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June 30, 2025

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.

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Understanding GenAI and Agentic AI: What’s the Difference?

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March 19, 2025

Choose or Combine GenAI and/or Agentic AI for Apps

The only way to avoid news of Artificial Intelligence (AI) is to move to the top of a mountain and leave all your devices behind. Talk of AI is everywhere. So, it is no surprise that most businesses are considering how to incorporate artificial intelligence (AI) into their consumer apps, business applications, websites and mobile applications.

Gartner predicts that within the next few months, ‘…40% of enterprise applications will have embedded conversational AI.’

As you discuss AI opportunities with your team and your IT consultant, be sure you understand the terminology. There is a distinct difference among AI technology, products and solutions and the industry often uses the terms interchangeably.

In this article, we will discuss the difference between two types of Artificial Intelligence (AI) development your business may be considering, namely, Generative AI (GenAI) vs. Agentic AI.

Generative AI (GenAI)

This technology is form of AI designed to understand and respond to prompts and to generate text, images (including video) and other media. To function, GenAI models must be trained, using large datasets. By analyzing these datasets, the system can learn to spot repetitive results, trends and patterns. Generative AI utilizes neural networks to recognize and identify these patterns in ‘training’ data, and use that data to generate content.

Here are some of the models in use today:

Multimodal Models

These models can process and integrate information in the form of text, audio, images and video, gestures and facial expressions, etc. Tools like DALL-E, Stable Diffusion, and ChatGPT are based on multimodal models.

Large Language Models (LLM)

LLM is used to understand and generate language. It uses a large volume of data and parameters to train the model.

Variational Autoencoder (VAE)

This model provides probabilistic graphical models and variational methods.

Generative Adversarial Network (GAN)

This machine learning framework consists of two neural networks competing for a ‘win’ or for the best result.

Use Case Examples

Marketing – A business might use Generative AI (GenAI) to create customized, targeted marketing content and social media posts to attract a certain demographic or customer without the need for professional knowledge or human intervention, so the team can focus on critical operations and strategic goals. Using training data, the GenAI model will produce contextual content specifically designed to target customers in a particular market niche.

Reporting and Visualization – When an analytical solution incorporates GenAI within its software or app, it can improve the clarity and precision of the data presented. Using visualization, graphs, images and combining those with summaries and details can provide reports and presentations that are clear and suitable for all audiences, including management and executives, as well as teams and staff members.

Technology – Combine GenAI with search optimization, rules-based systems for natural language generation and chatbots, with simulation, with non-generative ML to classify and segment data, or with graphs. Combining techniques can reduce costs, while delivering appropriate performance, efficiency and accuracy.

For more information about Generative AI (GenAI) benefits and uses, see our free white paper, ‘Generative AI (GenAI): The Benefits And Application Of AI In Analytics.’

Click Here to download the whitepaper.

Agentic AI

This artificial intelligence (AI) approach goes well beyond the ubiquitous platforms such as ChatGPT and other popular AI tools with sophisticated reasoning and iterative planning features to autonomously solve complex, multi-step problems.
  • Flexibility and precision
  • Extended reach and scalability
  • Autonomous capabilities
  • Intuitive capacity
Agentic AI independently and autonomously performs tasks and augments other systems to complete workflow and tasks using tools and processes within a solution or system. It is capable of solving complex problems and taking action and can perform interactive tasks, operating outside the typical machine learning (ML) environment of a classic AI trained model to achieve true process automation.

Use Case Examples

Marketing – Your business might use Agentic AI to automate tasks and schedules, track performance and monitor spending. These AI agents can be categorized to handle specific tasks like creating copy and content, choosing a target audience and monitoring and reporting on marketing campaigns.

Research – Use multi-agent AI models to scan and analyze research, articles and databases and suggest improvements, identify new solutions or products using existing technologies, materials, etc.

Manufacturing – Agentic AI uses sensors attached to machines, components, and other physical assets to predict wear-and-tear and production outages, and sending alerts or initiating processes to mitigate probable issues, avoiding unscheduled downtime and associated costs to manufacturers.

Gartner has predicted that ‘Agentic AI will introduce a goal-driven digital workforce that autonomously makes plans and takes actions — an extension of the workforce that doesn’t need vacations or other benefits.’

Is GenAI OR Agentic AI Right for My Business or Consumer App, or Should I Choose Both?

When GenAI and Agentic AI are combined, the business can build a technology that creates contextual content and is capable of taking autonomous action and making routine decisions, so the enterprise can optimize human and technology resources to scale operations and provide targeted, personalized customer service to enhance customer satisfaction and ensure efficiency and productivity within the organization.

By employing cutting-edge Artificial Intelligence (AI) Technology and expert predictive and data science services, the enterprise can gather, produce and analyze information from disparate data sources, and use that data to create products, enhance services, improve productivity and improve market position, all with the support of a team that is skilled in AI, Data Science, Data Engineering and Predictive Analytics. Contact Us to find out how Generative AI (GenAI), Agentic AI and other AI technologies and services can support your software applications, mobile application, or software product ideas, and advance Digital Transformation (Dx).

Original Post : Understanding GenAI and Agentic AI: What’s the Difference?

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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March 10, 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.

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What is Agentic AI and Why Should I Consider it for Apps

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January 8, 2025

Use Agentic AI for Autonomous Workflow and Task Completion

Artificial Intelligence (AI) is advancing, evolving and changing at lightning speed. It is nearly impossible to keep up with the changes, and to understand what, if anything, each of the new products and developments can offer to a business.

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Consider Your Business Needs Before Choosing GenAI

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December 4, 2024

Is GenAI Right For Your Business?

You don’t have to be in the technology business to know about Generative AI (GenAI). The buzz about this technology advancement is everywhere! The media is talking about its impact, governments are discussing regulation, and technology companies are looking for ways to integrate GenAI into existing products and to create new products that will excite consumers, and improve productivity, results and revenue.

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