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Is AI Right For You?
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We Are The Partner That Can Also Bring You The Future of Automation When You Need It.
Is AI Right For You?
Request a Presentation Based On Your Business & Demands To Find Out!
Automated Efficiency – Understanding All Your Options Helps You Decide If AI, BI or Code Will Do What You Need.
What Is Artificial Intelligence (AI)?
Artificial Intelligence (AI) is a broad field of computer science focused on building smart machines capable of performing tasks that typically require human intelligence.
AI systems are designed to emulate human cognitive functions like learning, problem-solving, perception, and decision-making. These systems are powered by algorithms, using techniques such as machine learning (where computers learn from data without being explicitly programmed) and deep learning (which involves neural networks to engage in sophisticated pattern recognition). AI applications range from simple tasks like filtering spam emails to complex ones like autonomous driving or medical diagnostics. The essence of AI lies in its ability to process vast amounts of data, learn from it, and make decisions or predictions based on that learning, thereby continually improving its performance and accuracy.
What Is Business Intelligence (BI)
The primary goal of BI is to support better business decision making. Essentially, BI systems enable data-driven decision-making by providing historical, current, and predictive views of business operations. BI encompasses a wide range of tools, applications, and methodologies that allow organizations to gather data from internal systems and external sources, prepare it for analysis, develop and run queries against the data, and create reports, dashboards, and data visualizations. This makes the analytics results available to corporate decision-makers and operational workers. BI helps in identifying trends and patterns in data, thereby empowering stakeholders to make informed and strategic decisions.
What is BPA Through Code
Business Process Automation (BPA) can often be achieved through simple scripting and coding, which allows businesses to automate routine and time-consuming tasks.
This approach involves writing scripts to automate tasks like data entry, file management, email responses, and basic data analysis. For instance, a script can be written to automatically extract data from emails and enter it into a spreadsheet or database, eliminating the need for manual data entry. Similarly, scripting can be used to automate the generation of standardized reports, perform regular database backups, or synchronize data between different systems. This level of automation is particularly beneficial for small and medium-sized businesses, as it requires a relatively low investment in technology while significantly increasing efficiency.
Starting with AI, it’s essential to align the scope of AI projects with specific business objectives to avoid overspending on overly ambitious initiatives. Opting for modular, scalable AI solutions can also control initial costs while allowing for future expansion. For BI, cost management revolves around selecting the right tools that fit the company’s size and complexity, avoiding overinvestment in overly sophisticated systems. Emphasis should be on solutions that provide actionable insights without incurring excessive training or maintenance costs. When it comes to BPA, the key is to identify high-impact, high-frequency tasks for automation, ensuring immediate efficiency gains. It’s advisable to start with simpler, low-cost automation tools, gradually scaling up as the organization acquires more proficiency and understanding of its automation needs. Across all three domains, a phased implementation strategy can help in managing costs effectively, enabling businesses to learn and adapt, while preventing large-scale financial commitments before demonstrating clear value and ROI.
Answers to Five Questions We’ve Heard From Decision Makers In The Field.
Risks to Proprietary Data During AI Implementation and How To Protect Your Data in an AI System
The Costs Associated With AI: From Start To Maintenance
How To Stop ChatGPT and other AI ChatBots From Taking Information From Your Website
Preparing Your Data for AI: Best Practices and Considerations
AI Hallucinations: What They Are, How They Impact Your Industry, and How To Avoid
Important Topics Decision Makers Should Consider Prior to AI Implementation.
Planning For Artificial Intelligence (AI) Integration and Selecting The Right AI Tech Stack
Author: Intertech’s Consulting Research Lab
AI integration planning, designing and implementing artificial intelligence solutions can be complex and challenging, especially given the multitude of libraries, tools, and frameworks available. In this article, I will guide you through the process of thinking about AI, setting objectives, and selecting the right combination of resources for your project within the context of various technology stacks.
What is an AI Model and What Makes Up the Various Models That Are Often Incorporated Into Business Automation Software?
Author: Intertech’s Consulting Research Lab
First, it is important to understand that an AI model is not so cut and dry, and refers to a specific representation or abstraction of a phenomenon, problem, or task within the field of artificial intelligence. It’s a mathematical, computational, or conceptual construct designed to capture patterns, learn from data, make predictions, or perform specific tasks.
Understanding the Similarities and Differences Between Business Intelligence (BI) and Artificial Intelligence (AI) in Business Software
Author: Intertech’s Consulting Research Lab
In the ever-evolving landscape of business software, two powerful acronyms often come into play: Business Intelligence (BI) and Artificial Intelligence (AI). Both BI and AI offer valuable solutions for businesses seeking automation and data-driven decision-making. In this article, we will explore what BI and AI are, their differences, where they can be implemented, their impact on business services, and the pros and cons of each.
EXECUTIVE INSIGHTS
Preparing Your Data for AI: Best Practices and Considerations
Author: Intertech’s Consulting Research Lab
In the world of artificial intelligence (AI), data is more than just fuel – it’s the critical foundation upon which all AI models are built. The quality, formatting, and preparation of your data directly influence the effectiveness of AI libraries, tools, and frameworks.
.NET AI: Harnessing the Power of Artificial Intelligence (AI) in the .NET Ecosystem
Author: Intertech’s Consulting Research Lab
In the world of business, the .NET framework stands as a robust and versatile platform for developing AI-enabled applications. With AI encompassing a broad range of technologies from machine learning to deep learning, and natural language processing to computer vision, it is crucial for developers to carefully select AI technologies that seamlessly integrate into the .NET framework.
Java AI: Unlocking the Potential of Artificial Intelligence (AI) in Java
Author: Intertech’s Consulting Research Lab
In the dynamic realm of artificial intelligence (AI), the Java programming language stands as a pivotal player, offering a vast array of libraries, tools, and frameworks tailored for AI development. The importance of selecting the right AI technology in a Java environment cannot be overstated. This article aims to explore some of the prominent AI libraries, toolkits, and frameworks available in Java, discussing their key features and use cases.
EXECUTIVE INSIGHTS
Navigating the AI and BI Crossroads: When to Invest and When to Pass
“AI, BI, and When Code Can Do The Job!”
Author: Intertech’s Consulting Research Lab
Software modernization is not just about updating systems but transforming how businesses operate and make decisions. The incorporation of Artificial Intelligence (AI) and Business Intelligence (BI) into this process marks a significant leap forward. These technologies bring a suite of capabilities that can significantly enhance business processes, decision-making, and customer engagement. However, while AI and BI can offer transformative benefits, they’re not universal solutions suitable for every scenario.
This article explores key considerations to help you confidently decide when to embrace AI and BI and when you can do what you need with code.
Automating a .NET or Java Based Workflow Without BI or AI: Possibilities and Methods
Author: Intertech’s Consulting Research Lab
In the era of rapid technological advancement, automation has become a pivotal aspect of business operations. While Business Intelligence (BI) and Artificial Intelligence (AI) are popular tools for automation, they are not the only methods available, especially for businesses looking to automate without significant investment in these technologies. In this article we explore the feasibility of automating a .NET or Java-based workflow using a purely code-based approaches.
Implementing BI and AI on a Budget: Strategic Baby Steps for Businesses
Author: Intertech’s Consulting Research Lab
Once a company has successfully automated its workflows using code-based approaches in .NET or Java, the next logical step in its technological evolution is to incorporate Business Intelligence (BI) and Artificial Intelligence (AI). However, for many businesses, especially small to medium-sized enterprises, budget constraints can make this seem like a daunting task. In this article we take automation to the next level and outline a strategic, budget-friendly approach if you and your company are looking to take baby steps towards integrating BI and AI.
Items To Consider Before Selecting an AI Library or Framework for Your Client-Side or Server-Side Modernization Project
Author: Intertech’s Consulting Research Lab
In today’s fast-paced, jump-on-the-bandwagon world, as a decision-maker, you understand that selecting a library or framework that will give you the enhanced benefits of AI requires thoughtful consideration and a deliberate and informed approach. Why? Because AI isn’t a one-size-fits-all solution; it’s a spectrum of tools and techniques, each suited for particular tasks.
When to Choose AI, BI, or Both in Software Modernization – Navigating the AI Hype
Author: Intertech’s Consulting Research Lab
AI and BI are both available to you. The question is which one is right for you and your company by itself or in combination. This article aims to help you decide whether to implement artificial intelligence (AI) features, business intelligence (BI) features or combine both in your software modernization projects so you get the desired results at the budget you desire.
Have You Forgotten BI in the AI Craze?
The proven unsung and less expensive option
Author: Intertech’s Consulting Research Lab
Business Intelligence has been a cornerstone in business data analysis for decades. Emerging in the late 20th century, BI developed from simple data reporting to complex analytics. It was the first wave of digital transformation in data handling, allowing businesses to transition from instinct-based decisions to data-driven strategies. Over the years, BI has evolved to offer sophisticated data visualization, real-time reporting, and predictive analytics.
BI, a more budget-friendly and data-grounded technology, often aligns more closely with what companies truly need.
Find Your Industry – Areas Where BI and AI Provide Exceptional Value & Impact Your Specific Business
Author: Intertech’s Consulting Research Lab
Whether you decide to implement AI, BI, or BPA and simple scripting and coding, understanding the benefits of each is the only way to determine the value of the project, and in turn, ROI. Look through the list and find your business model. Then click on the button to see some examples of how your business can be impacted by AI or BI. In the end, this knowledge will help you decide which option is worth the investment.
If you have questions or would like a live presentation by one of our consulting experts that covers your options based on your specific system, please let us know by selecting the button below.
EXECUTIVE INSIGHTS
Machine Learning: The Driving Force Behind AI Mania
Author: Intertech’s Consulting Research Lab
The world is currently witnessing an unprecedented surge in interest and investment in Artificial Intelligence (AI). Amidst this AI craze, Machine Learning (ML) stands out as a pivotal and transformative technology. This article explores how Machine Learning fits into and fuels the ongoing AI revolution, reshaping industries and redefining possibilities.
The Fastest Way To Build Software Is “Right” The First Time!
Understanding your industry is one thing. Understanding the technology you are using is another. When you read studies that tell you that 75% of projects are doomed from the beginning, it has to make you pause before signing your name to the outcome.
Consider letting our proven professionals take a look at your project. They’ve seen what can go wrong and know how to avoid costly errors.
We build custom software from start to finish. We plug into your environment with the proven expertise you need for us to work independently or in co-development. And, we bring the soft-skills that make the task enjoyable, and the experience to leave your team stronger and ready to take over.
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Team-Complete™ Development
Soft-Skills For A Winning Experience
Sometimes the most critical person in the room is the one with a calm voice and the knowledge to select the right words. Bringing a development team together or presenting a clear concept for stakeholders can make all the difference between success or failure. Intertech consultants are at the top of their field. They navigate challenging decisions, guide with a confident voice, and know when to get out of the way.
Intertech takes the worry out of custom software development.
Answers to Five Questions We’ve Heard From Decision Makers In The Field.
Risks to Proprietary Data During AI Implementation and How To Protect Your Data in an AI System
The Costs Associated With AI: From Start To Maintenance
How To Stop ChatGPT and other AI ChatBots From Taking Information From Your Website
Preparing Your Data for AI: Best Practices and Considerations