AI Consulting

In its most simplest form, AI programming is centered around three key cognitive abilities: learning, reasoning, and self-correction.

The learning aspect of AI programming centers on the acquisition of data and the development of rules for transforming that data into actionable insights. These rules, known as algorithms, provide a step-by-step guide for computing systems to follow when executing a specific task.

The reasoning aspect involves AI’s capacity to select the most suitable algorithm from a pool of options based on the context at hand.

The self-correction aspect focuses on the ability of AI technology to continuously adjust and refine its output until it successfully achieves the desired objective.

Yes. While Artificial Intelligence (AI) and Machine Learning (ML) are often used interchangeably, they are not the same. 

AI is a broad concept that refers to machines or software mimicking human intelligence. It’s about creating systems that can perform tasks that would normally require human intelligence. These tasks include learning from experience, understanding natural language, recognizing patterns, and making decisions.

On the other hand, ML is a subset of artificial intelligence. It’s a method of training machines to improve their performance on a specific task over time, without being explicitly programmed to do so. In ML, an algorithm learns from data. The more data it processes, the better it gets at the task it’s designed for.

So, in essence, while AI is about making machines intelligent, ML is one of the ways we’re achieving it.

It is highly unlikely that AI will completely replace humans. It is more likely to complement and enhance human work, automating routine tasks and allowing humans to focus on more valuable activities. Additionally, developing and maintaining AI systems requires specialized knowledge, creating new job opportunities in fields like computer science and machine learning technology.

Just like with any other development project, the costs associated with designing and developing your AI solution will vary. Depending on your project, that range can be anywhere from a few thousand to millions of dollars. Available data, current infrastructure, software, project objectives, etc. will all impact the complexity and thus cost of the project. 

The only way to accurately estimate a development project is to look at the specifics of what you want to achieve. Atlantic BT accomplishes this through an AI Discovery, which is very similar to the Discovery Phase of Our Process when developing any other type of application. During this process, we’ll be able to rapidly determine functional requirements and build a plan that will ensure success within an established budget. Atlantic BT will then provide you with a comprehensive breakdown of the timeline, cost and any additional resources needed for your project.

“Fear of the unknown” shouldn’t paralyze you from considering how new technology may positively impact your business. A valuable starting point to enhance your knowledge of AI and ML is with Atlantic BT’s blog. This section of our website offers a wealth of valuable resources, including insights into the history, use cases across various departments, and a comprehensive roadmap for getting started with any AI implementation project. 

Our AI Discovery is a great first step for business leaders who aren’t quite sure what area of their business can benefit the most from AI applications. The goal of our AI Discovery is to help you to identify systems and business workflows that can be improved with this sophisticated technology. Reach out today to get started.

Artificial Intelligence is a tool, and like any tool, its safety depends on how it’s used. When designed, developed, and deployed responsibly, AI can be safe and extremely beneficial. However, there are valid concerns about its misuse. Issues such as data privacy, algorithmic bias, and the fear of job displacement are often discussed in the context of its safe use. It’s important for organizations to address these concerns by implementing ethical guidelines, prioritizing transparency, and ensuring that AI systems are auditable.

At Atlantic BT, we’re committed to the responsible use of AI. We adhere to best practices in development and deployment, ensuring that the AI solutions that we work with are not only effective but also respectful of user privacy and fairness. We believe that with the right approach, AI can be both safe and transformative for your business.

AI plays a dual role in cybersecurity, as both a defender and a potential threat. As a defender, AI tools can enhance cybersecurity measures through more sophisticated threat detection and predictive capabilities. However, it can also pose threats to cybersecurity. Cybercriminals can use AI to carry out more sophisticated attacks. For example, they can automate their attack processes or use the technology to better hide their activities. Businesses must also be aware of the potential harm of AI Bias. If a system is trained on biased data, it could lead to unfair outcomes, which could be exploited by malicious actors.

At Atlantic BT, we understand the complexities of AI in cybersecurity. Our goal is to ensure that our use of any technology provides the maximum benefit to your business while minimizing potential threats.