Resolve Information Technology, Open Space, Upper Interfields, Malvern (2026)

25/02/2026

Newish year, new website. We've relaunched at resolvetech.co.uk - now telling people what they already suspected - we offer AI consultancy alongside our IT support. Same family team, same phone number, sharper tools.

26/05/2023

Only 1 week to go, and we are looking forward to welcoming Acclaimed Mortgage Consultancy holding their seminar about .

We think most of us would like to live a comfortable retirement but have no clue what the financial options that may be open to us in later life. So they have kindly agreed to answer some of those questions you may have.
Light refreshments will be available.

To reserve a place please click on the link below:
https://eventbrite.co.uk/.../do-you-want-to-live-a....

PB Signs Neil Copeland - Travel Counsellor The Mount Pleasant Hotel Sadie Skipworth Social Media Kitcat & Co Solicitors Top Utility Solutions Ltd Resolve Information Technology Jane Lander-Taylor - Independent Financial Adviser Design in the Shires 360Autoleasing

19/05/2023

Harnessing the Power of AI for Small and Micro Businesses

In the dynamic landscape of the modern business world, small and micro companies need to continuously seek innovative ways to stay ahead of the competition. A key player in this game-changing innovation space is Artificial Intelligence (AI).

AI refers to systems or machines that mimic human intelligence to perform tasks and can iteratively improve themselves based on the information they collect. The applications of AI are not only extensive but are evolving every day, opening new possibilities for small and micro businesses.

Streamlining Business Operations:

AI can automate repetitive tasks such as data entry, scheduling, and customer support, significantly impacting a company's bottom line. For small companies, this can act as a force multiplier. Chatbots like ChatGPT, Bard, and the new Bing can revolutionize daily business operations. While these tools require thoughtful prompting, we are witnessing companies making impressive strides using them.

For instance, we are beginning to use AI to record job notes (voice to text) and then utilize ChatGPT to summarise this text. This process, which once was a tedious task, is now being automated, and we aim to integrate this with our job management system.

Navigating the Job Market:

The advent of AI has raised concerns about potential job risks. However, in the realm of small businesses, AI acts as a force multiplier. Business owners often have to wear many "hats," and AI tools like ChatGPT and Bard provide quick access to information when needed.

While these tools can provide quick insights, it's crucial to remember they don't replace professional advice. They are excellent for crafting a delicate email to a customer or drafting a policy template, but for legal advice, a professional's input is irreplaceable.

Interestingly, the rise of AI has also given birth to new roles, such as AI specialists and data scientists. These positions require a human touch, creativity, strategic thinking, and a deep understanding of business needs - skills that AI cannot replicate.

In conclusion, AI offers significant advantages for small and micro businesses, from improving efficiency to enhancing customer experience. While it presents some challenges, such as potential job displacement, the opportunities it provides far outweigh the risks. By embracing AI, small and micro businesses are well-positioned to thrive in the rapidly evolving digital economy.

17/05/2023

Computer Vision: Helping Computers See and Understand Our World

Ever wondered how your smartphone camera recognizes faces, or how self-driving cars navigate through traffic?

The secret behind this magic is a something known as "computer vision".

In simple terms, computer vision is a branch of artificial intelligence (AI) that teaches computers to 'see' and interpret visual information, much as we do. But instead of eyes, computers use cameras, and instead of brains, they use AI algorithms.

Imagine you're at a park. Your eyes see the trees, the people, the sky, and the birds. Your brain instantly recognizes what these things are because it's learned from past experiences. That's pretty much what computer vision aims to do, but for computers. It's about teaching computers to understand and interpret images and videos.

So, how does it work? Computer vision uses a variety of methods. For example, it can break down an image into tiny pieces, called pixels, and analyse the colour and brightness of each one. Other times, it might look for patterns or shapes that it recognizes, such as the round shape of a basketball or the distinctive pattern of a zebra's stripes.

One of the most exciting parts of computer vision is its potential applications. It's the technology behind facial recognition systems, like those used in some smartphone unlock features. It's crucial for autonomous vehicles, which need to 'see' and interpret their surroundings to navigate safely. It's even used in healthcare, where it can help analyse medical images like X-rays or MRIs.

At Resolve we wrote some software to automatically measure the size microscopic holes in flexible film to ensure it was being produced to a high quality. Once we knew how big the holes were we could calculate the amount of gases passing through the film. The packaging is used on food products worldwide and it is vital that it can "breathe" properly. The operator literally passes the film under a camera and the software finds and measure the microscopic holes.

In short, computer vision is a rapidly evolving field that's making our technologies increasingly smart and interactive. As it continues to develop, it's set to change the way we live and work in many exciting ways. So, the next time your phone camera magically identifies a face in your photo, remember – that's computer vision at work!

16/05/2023

This post is courtesy of ChatGPT

So what is a large language model - explain it to me like I have no technical knowledge.

Absolutely, let's try to simplify it.

Imagine a large language model as a super smart robot that has read a lot of books, articles, and web pages. It's been trained to understand and generate human language. So when you ask it a question or give it a prompt, it uses everything it has learned to give you a response.

But here's the thing: it doesn't really "understand" or "know" things in the way humans do. It can't form opinions, have feelings, or experience the world. It just predicts what should come next in a piece of text, based on the massive amount of text it has seen during its training.

For example, if you start a sentence with "Once upon a time," it's likely to follow with something that sounds like a story because it's seen many stories that start that way. If you ask it a question about facts, like "What's the capital of France?" it will say "Paris" because it's seen those words together many times in the texts it has read.

That's what a large language model is, in essence: a huge, text-based prediction machine. It doesn't think or know, but it's good at making text that sounds like it does.

So actually it's pretty dumb?

In a way, yes, you could say that. It doesn't have consciousness or understanding in the way humans do. It doesn't know the context or the meanings behind the words it generates. It's not capable of original thoughts, emotions, or comprehension.

But on the other hand, it's very sophisticated in its ability to analyze and generate human-like text based on patterns it has learned. It can help answer questions, write essays, generate ideas, translate languages, and much more. It's a powerful tool when used correctly, but it's important to remember its limitations and not to attribute human-like understanding or intelligence to it.

Correct, as of my knowledge cutoff in September 2021, and according to our current understanding of artificial intelligence, large language models like me (ChatGPT) do not possess consciousness, sentience, or awareness. We don't have thoughts, feelings, or desires. We can't understand or experience the world. We operate purely by processing input (like your questions) and generating output based on patterns learned during training.

So, there's no reason to worry about AI models like ChatGPT becoming sentient or conscious. The technology simply isn't designed in a way that could lead to self-awareness or personal experiences.

However, it's worth noting that the field of AI ethics does discuss important concerns about the use of AI, such as fairness, privacy, transparency, and the potential for misuse. These are valid areas for ongoing discussion and regulation, but they're different from the idea of AI gaining sentience.

15/05/2023

🤖💡 Demystifying AI Acronyms: What Do They Mean? 💡🤖

Ever been stumped by all the abbreviations in the world of Artificial Intelligence? You're not alone! Here's a quick guide to some of the most commonly used AI acronyms:

1️⃣ AI (Artificial Intelligence): This is the big one! AI refers to machines or software that mimic human intelligence, learning, problem-solving, and decision-making.

2️⃣ ML (Machine Learning): A subset of AI, ML is all about giving machines the ability to learn from and improve their performance based on data, without being explicitly programmed.

3️⃣ DL (Deep Learning): This is a type of ML that uses artificial neural networks with many layers (hence 'deep') to learn and make decisions.

4️⃣ NLP (Natural Language Processing): NLP allows machines to understand, interpret, generate, and respond in human language. It's what lets us have conversations with virtual assistants like Siri and Alexa!

5️⃣ ANN (Artificial Neural Networks): Inspired by the human brain, ANN is a computing system made up of interconnected nodes (or 'neurons') that process information and enable learning in AI systems.

6️⃣ RPA (Robotic Process Automation): RPA uses AI to automate repetitive tasks, freeing up humans to do more complex work.

7️⃣ CV (Computer Vision): CV enables machines to 'see' and understand images and videos, just like our human eyes do.

8️⃣ GAN (Generative Adversarial Network): This is a type of AI model that uses two neural networks – one to create fake data and the other to determine if the data is real or fake. It's often used to create realistic images and deepfakes.

Now you're an AI acronym pro! Remember, AI is everywhere these days, and understanding these terms is the first step to demystifying this exciting field. Stay tuned for more AI updates! 💻🚀

15/05/2023

🤖💡 AI Update: The Fascinating World of Large Language Models (LLMs) 💡🤖

Did you know that artificial intelligence (AI) is not just about robots and self-driving cars? A major part of AI research now focuses on natural language processing, with Large Language Models (LLMs) like ChatGPT leading the way! These models are pushing the boundaries of how language can enhance other types of artificial intelligence, from teaching robots to articulate the rationale behind their decision-making processes, to enabling computer vision systems to describe what they see.

Recently, Jacob Andreas, an AI scientist at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), discussed some of the intriguing aspects of LLMs. LLMs are capable of a phenomenon called "in-context learning", where they can generate plausible outputs and make predictions based on a few examples given to them, a fundamentally different way of doing machine learning.

Yet, as sophisticated as they are, these models have their limitations. They often hallucinate facts or confidently assert inaccuracies, which can be a problem in applications where factual accuracy is paramount. They also struggle with understanding and responding to the social and temporal contexts in which language is used, a challenge researchers are actively working on.

Andreas also highlighted the challenges of bias in AI. When you train a language model on the internet, it learns from a variety of sources, each with its own biases, making it hard to ensure that the model doesn't replicate these biases in its outputs.

In conclusion, while there's still much work to be done, it's clear that LLMs and AI, in general, hold exciting possibilities for the future. Stay tuned for more AI updates!

14/05/2023

"Hello everyone! This week, we are we're going to dive into the fascinating world of Artificial Intelligence (AI).

As your trusted local IT consultancy, we're committed to keeping you informed about the latest trends that can transform your business.

Stay tuned this week as we unravel the potential of AI for small and micro businesses right here in Worcestershire!

05/05/2023

Day 16: As we conclude our 16 Days of Coronation, we hope you've found these IT, cybersecurity, and AI insights valuable. As technology continues to evolve, staying informed and proactive is key to maintaining a secure and successful business. Best wishes for a bright future as we celebrate the coronation tomorrow of King Charles III!

04/05/2023

Day 15: A robust cybersecurity strategy requires a proactive approach. Regularly assess your network and systems for vulnerabilities, and address them promptly. Conduct pe*******on testing and security audits to identify potential weak points. By staying ahead of potential threats, you can protect your business from costly data breaches and cyberattacks.

Resolve Information Technology

25/02/2026

26/05/2023

19/05/2023

17/05/2023

16/05/2023

15/05/2023

15/05/2023

14/05/2023

05/05/2023

04/05/2023

Address

Website

Alerts

Contact The Business

Shortcuts

Share

Category