Michał Zieliński from Classic Driver shares how AI tools like ChatGPT helped streamline meeting notes, improve team efficiency, and solve operational challenges in a small team.
Uncover how AI was implemented in Bab Ajeer, a Saudi job marketplace built by Boldare for Ajeer, and how it helped reach product KPIs in a quick and effective way.
After several years, Planet Escape, a travel agency known for creating personalized travel experiences, approached Boldare again to solve new challenges in customer service. Their growing volume of repetitive inquiries and rising expectations for faster, personalized responses led them to seek a more efficient solution. We introduced a tailored AI-driven chatbot to streamline their support process, handling routine queries and improving response times. This allowed their consultants to focus on more complex travel planning, enhancing both operational efficiency and customer satisfaction while positioning Planet Escape as a leader in innovative, client-focused service.
The idea of creating a functional app with AI capabilities in just 30 minutes sounds like a dream, but is it really possible? And how can Generative AI be effectively used in real-world digital products? These are some of the questions we explore in this week’s “Around the Product Development” webinar, where we sat down with Olivier Halupczok, a GenAI developer at Boldare. Our topic is how to kickstart your first AI-based product. Enjoy!
In my opinion, designing user interfaces (UI) for products that leverage Generative AI (GenAI) can be both exciting and challenging. From my experience, it’s crucial to understand the nuances and best practices that can make these AI features not only functional but also user-friendly. Here, I’ll share some insights and tips on how to create effective UI for products with GenAI, drawing on key challenges and considerations.
This week, we hosted Cathy and Chanie from Objective Investment Banking & Valuation to explore the impact of tech-driven content and storytelling on business growth. We also delved into their approach to tailoring go-to-market strategies for the diverse segments within the investment banking industry. Curious to learn how AI and human expertise combine to create compelling content? Read on or watch the interview.
As a CTO, you know how quickly the software development landscape changes and how important it is to stay ahead. Leveraging artificial intelligence (AI) has become a critical factor in maintaining a competitive edge. At Boldare, besidewe don’t just use AI tools as add-ons; they’re key parts of our development process. This article explores the AI tools we use, how they boost efficiency and innovation, and why integrating AI is crucial for any progressive development team.
Generative Artificial Intelligence (GenAI) has made incredible progress, impacting many parts of our daily lives. At the center of this revolution are language models, which allow machines to understand and generate human language. These models vary in size, from the massive GPT-4 to smaller, task-specific ones. As AI evolves, a key question arises: does the size of a language model really matter? In this blog post, I’ll explore this by comparing large and small language models, discussing their strengths, limitations, and practical uses. Read on to find the best solution for your needs.
The idea of giving back to the community is a fundamental aspect of Boldare’s mission. That’s why we’re excited to share something today that, developed by us, we believe belongs to everyone. Introducing the Boldare AI Assistant - a NestJS library designed to empower developers to efficiently, scalably, and swiftly create AI assistants and AI-powered chatbots. It’s accessible through GitHub and npm.
No, ChatGPT will not replace the Google Search Engine. It might take over some traffic but, at least for now, it’s unable to turn the search engine market upside down. And that’s because it’s hallucinating.
Explore the safety aspects of ChatGPT, the groundbreaking AI chatbot. Understand potential risks and discover strategies for its secure deployment.
OpenAI’s ChatGPT still invokes a lot of emotions - both good and bad. Its benefits for businesses and private users go hand-in-hand with concerns about the privacy of sensitive data. If you are wondering if you should use this tool for your digital product, read on to learn what is ChatGPT’s current policy on handling data as well as what are our practices for working with this tool.
The buzz surrounding ChatGPT is significant. Some experts in the software development industry view it as a blessing that will significantly reduce development costs and make coding more accessible. Others perceive OpenAI's product as a tsunami that could potentially devastate the software industry. However, it is still too early to make a definitive statement about its impact. Like any other tool, this one is prone to numerous risks. In this article, I will list the most significant ones that I believe are relevant to using ChatGPT (or similar tools based on language models) in digital products.
We’re passionate about exploring the latest technologies and available tools. That is why, together with our Agile Product Builders community, we set up a live discussion between Krzysztof Osinski, Senior Vice President of Research & Development from DTiQ and Romuald Członkowski, our Customer Success Guide with a special interest in AI issues. This article draws together the main points of their conversation, including likely uses for ChatGPT, as well as its current limitations and potential ethical issues.
On February 23, at 2 pm [CET] we will stream our talk with Krzysztof Osiński, the Senior Vice President of Research & Development at DTIQ. He will talk about the different ways in which ChatGPT will change business worldwide. Read on to find out what you can learn by tuning in.
