Knowledge base
“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years,”
Coursera co-founder and Stanford University professor Andrew Ng famously said. He’s being proven right, with 86% of CEOs seeing artificial intelligence as a mainstream technology and over 90% of leading businesses investing in it on an ongoing basis.*
But what even is AI and how did it come to be? Will it ever turn into a Skynet type of situation or are Alexa and Siri the closest thing we’ll ever have to superintelligence? What are its benefits for industries and individuals? And what are its limitations – if any? We’ve gathered some deep dives from our blog to help you get your bearings, plus real-life applications from other corners of the web for inspiration.
This AI can analyse texts on the basis of various aspects as we learned in the grammar class at school.
Blog
From BI to AI: How to navigate the maze of the data revolution?
The role of data in business is constantly growing. While business intelligence (BI) used to be the main tool to analyse data and support business decisions, today, AI-based technologies – especially generative AI – are opening up new dimensions for companies. BI and AI – Different goals, different approaches However,
Artificial Intelligence and the Future of Finance
Thoughts of our co-founder, Levente Szabados, at the Future of Finance 2024 Conference The revolution of artificial intelligence (AI) is increasingly transforming the financial sector, and Neuron Solutions is at the forefront of innovation. In the first section of the Portfolio Future of Finance 2024 conference, several renowned industry experts
Microsoft Copilot: We Stay in Control, AI Only Assists
A few weeks ago on local radio talkshow Millásreggeli, our co-founder, Levente Szabados, discussed the essence of Microsoft Copilot and its applications within Microsoft Office programs, such as Excel or Word. It’s important to note that there are several types of Copilot, but here the focus was on M365 Copilot
Looking inside a Large Language Model’s mind
Solutions with large language models pop up daily like mushrooms, meanwhile these models are treated as black-box: Some text goes in and a response comes out, but it is not so clear why the model gives this particular answer and not another. But we can ask the question to ourself,
Tackling Organizational & Management Challenges with AI
In today’s dynamic corporate landscape, the integration of AI-driven solutions is rapidly becoming a focal point for progressive organizations. As AI’s potential unfolds, so do the intricacies and challenges associated with its implementation. Drawing from case studies, industry insights, and firsthand experiences, this blog post endeavors to shine a light
Mastering the Technical Aspects of AI Integration
In the modern corporate landscape, AI integration is no longer a luxury; it’s a necessity. However, as with any technological shift, the journey to incorporating AI seamlessly into a business environment can be fraught with challenges. While the rewards are significant – increased efficiency, better data analytics, enhanced customer experiences