Tag: AI Application Development
Why Infuse New or Existing Software with Artificial Intelligence?
Artificial Intelligence (AI) has been in the mainstream for years with new advancements occurring every day. As the promise of AI evolves, businesses are undertaking new AI software development projects to support consumer products and internal business processes, and many companies are infusing AI into existing software products and apps to modernize and upgrade features and functionality, scalability and the quality of system interaction with human users.
Gartner predicts that by 2026, around a third (30%) of new applications will leverage AI.
‘By leveraging AI, businesses can tap into its numerous benefits and advantages, positioning themselves for continual success and growth.’
On the back-end, the benefits of AI development include improved speed of development and time to market. According to McKinsey research, Generative AI Accelerates Certain Coding Tasks By 35% To 45%.
Infusing AI allows you to incorporate the advantages and advanced technologies of the AI landscape into the enterprise to automate, predict and optimize and to improve business decisions and outcomes, as well as improve user adoption of intuitive tools and features.
Infusing AI into the environment also allows you to more quickly adapt and upgrade to accommodate changes to customer needs, business user needs and the competitive market. Development can be completed quickly and new, more sophisticated features can be added on a shorter cycle. You can develop faster and design and deliver software and applications to create dynamic end-user experiences.
There are real business benefits to adding AI into the mix! The data gathered and delivered by AI can provide real-time results. For example, a decision regarding loan approval should be based on currently available information and the transaction should be approved or denied using the most up-to-date information in order to protect the interests of the prospective client and the business. Interest rates and other variables can be calculated to provide the best outcomes. The system can detect and protect against fraud to ensure that insurance claims are valid and appropriate.
By infusing existing systems with artificial intelligence or building new systems to incorporate these capabilities, the business can mitigate risk, speed business processes and approvals and automate many redundant tasks, thereby improving team productivity, customer satisfaction and competitive advantage in the market.
By leveraging AI, businesses can tap into its numerous benefits and advantages, positioning themselves for continual success and growth. Benefits of AI-infused technologies include:
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.
‘Infusing AI allows you to incorporate the advantages and advanced technologies of the AI landscape into the enterprise to automate, predict and optimize and to improve business decisions and outcomes, as well as improve user adoption of intuitive tools and features.’
Contact Us to find out how our Enterprise Software Services and Artificial Intelligence Development Services can support your business needs and ensure consistent, professional, skilled technology and knowledge. Explore our free White Paper: ‘What Is Artificial Intelligence Technology And How Can It Help My Business?’
This U.S. company specializes in fire safety equipment maintenance and compliance management. Its mobile application product automates the process of fire safety inspections, allowing businesses to efficiently record and submit inspection reports to regulatory authorities, streamlining inspection workflows and ensuring consistent compliance for clients. This product is accessed through a subscription plan.
The Client is a leading recruitment company based in the United States. The Client built an AI-powered Applicant Tracking System (ATS) specifically designed to recruit teams and to manage the entire lifecycle of the hiring process with speed, simplicity, and automation. The platform offers an intuitive interface to build a candidate pool from LinkedIn with AI-driven candidate rankings for a specific job posting, and is integrated with Outlook and Gmail. With flexible subscription options, mobile access, and dedicated migration support, the platform empowers recruiters to streamline the hiring pipeline, improve candidate engagement, and make targeted hiring decisions without the complexity and shortcomings of traditional ATS platforms.
Agentic AI Optimizes Resources and Productivity
For the last several years, the buzz in the technology domain and in the consumer market has been about Artificial Intelligence (AI). AI is everywhere and it is impossible to avoid it
One of the more recent developments in this arena is Agentic Artificial Intelligence. Agentic AI takes AI to the next level with systems that can make decisions without human intervention.
Gartner predicts 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.’ That’s quite a bold prediction and, if true, it will have a profound effect on the way businesses operate and how team members do their jobs.
‘Today, Agentic AI is used to manage many functions and to make decisions without team member assistance.’
Most businesses today are considering how to incorporate artificial intelligence (AI) into their consumer apps, business applications, websites and mobile applications, or they have already begun to make these changes.
With the advent of Agentic AI, businesses can move more quickly to achieve goals and they can enhance productivity with intelligent solutions that target demographics and specific customer groups, improve technology and resource optimization, create content without human intervention and leverage systems that make autonomous decisions to complete tasks.
The primary advantages of Agentic AI are:
- Integration with Systems – Agentic AI can easily integration with customer relationship management (CRM) and Enterprise Resource Planning (ERP) systems to enhance and execute components of workflow
- Problem Solving – Agentic AI can take in and adapt to new information to solve problems and complete multi-step tasks, using sophisticated reasoning and iterative planning features.
- Decision-Making – Agentic AI can make decisions without human intervention.
- Operates Outside Machine Learning (ML) Environment – Agentic AI goes beyond classic AI-trained models to achieve true process automation.
Today, Agentic AI is used to manage many functions and to make decisions without team member assistance. Here are just a few of the Agentic AI applications a business might consider:
- Virtual Assistants and Schedule Management
- Traffic Navigation for Autonomous Vehicles
- Supply Chain, Inventory and Logistics Management
- Travel Including Flight Scheduling, Lodging and Tour Scheduling
- Data, System and Cybersecurity with Threat Monitoring and Incident Reporting
- Report Creation Incorporating Multi-Media, Multiple Reports and Summaries
- Help Desk Activities to Record Issues, Suggest Solutions and Escalate to Live Agents
- Manufacturing Including Machine, Component and Physical Asset, Scheduled Outages, Maintenance, Alerts etc.
- Research Analysis Incorporating Articles, Data, and Models
- Data Analytics and Data Management to Analyze Data and Generate Insights and Reports in Real-Time
- Content Creation for Targeted Marketing and Advertising Including Automated Tasks, Tracking Performance Monitoring Spending
- Customer Service Including Inquiry Handling, Issue Resolution and Follow-Up
- Technology and Software Development to Analyze, Write, and Fix Code
‘With the advent of Agentic AI, businesses can move more quickly to achieve goals and they can enhance productivity and optimize resources with intelligent solutions that target demographics and specific customer groups, improve technology and resource optimization, create content without human intervention and leverage systems that make autonomous decisions to complete tasks.’
There are many more applications within the realm of Agentic AI possibilities, but this list will give you some ideas to get you started with your own business brainstorming activity.
When you employ expert assistance from a skilled IT partner, your enterprise can leverage Agentic AI And Other Components And Technologies within the Artificial Intelligence (AI) market to gather, produce and analyze information from disparate data sources, and use that data to create products, enhance services, improve productivity and improve market position. Engage a team that is skilled in AI, Data Science, Data Engineering and Predictive Analytics.
Contact Us to find out how Agentic AI and other AI technologies and services can support your software applications, mobile application, or software product ideas, and improve team productivity, optimize resources and advance Digital Transformation (Dx). Read our free blog article: ‘What Is Agentic AI And Why Should I Consider It For Apps?’
Original Post: The New Age of Artificial Intelligence: Agentic AI!
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.
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 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.
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
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.’
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?
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.
