den Beitrag auf teilen
In this article, we give you an overview of the issues raised in our report. For more details, check out our full whitepaper.
Read our whitepaper AI has been the buzzword you simply can’t escape for the past couple of years. We’ve seen a lot of hype surrounding various solutions; however, you can’t deny the revolutionary power of AI when used for the right cases.
AI is expected to define the digital world in 2025 as well, so Supercharge has decided to collect the trends we believe will be key to every digital product-focused business. This report aims to help you understand AI’s latest advancements and offer you guidance in integrating it into your business strategy.
The first trend we discuss in our report is AI agents. These solutions take requests in natural language and execute workflows using software tools. They help you automate tasks, save time, and boost productivity. Whether it’s assisting employees with simple tasks, automating complex workflows, or streamlining operations with multi-agent systems, AI agents can make a real impact on your business.
Multimodal AI goes beyond text-based solutions by integrating vision, hearing, and speech. It converts speech and visuals into text, enables no-touch interfaces, and understands spatial relationships. Your business can use it to process documents, improve diagnostics and predictive maintenance, offer AI-powered video chat for customer support, and create ultra-targeted content at a fraction of the cost.
With AI integration comes security risks like prompt injection, data leakage, and unauthorized access. You can protect your business by integrating external AI services, using open-source solutions, and managing access control. While these threats are real and present, we also expect AI to enhance security tools, such as testing traditional digital platforms, websites and applications to reveal security issues.
It’s crucial to stay informed about the latest regulations on AI to ensure compliance with the legal requirements. The EU AI Act classifies AI systems by risk level, ranging from minimal to unacceptable risk. Most AI use cases fall into the minimal or limited risk category, meaning you’ll need to ensure transparency, data protection, monitoring, and proper basic documentation.