[AI for Business #5] - Enterprise AI Trends 2025
A view from outside the technological bubble
In this episode, we will reflect on some of the trends shaping enterprise AI adoption in the new year. As always, we will demystify them together, weeding out the hype and focusing on practical insights that companies can use to make an impact today.
Report: AI Trends in the Enterprise 2025
In 2023, the world was captivated by the potential of ChatGPT and other LLMs. Then came the reality check. Amidst ongoing innovation, bigger models, and a lot of hype, businesses discovered the gaps between current technological capabilities and their practical needs. Limitations like hallucinations, reasoning challenges, and resource demands became obvious.
2025 is the time to get down-to-earth and address these challenges - be it with smarter innovation or by going back to the roots and basics of AI. In the AI Trends in the Enterprise 2025 report, we depict seven trends to kickstart and facilitate AI adoption:
AI agents are powerful extensions of LLMs that actually act in the real world. They are like mini digital employees who perform workflows in an automated way, tackling tasks such as customer support and research.
Compound AI shifts the focus from using the best model to designing modular systems that combine AI models, tools, and data assets in a tailored and transparent way.
Small Language Models (SLMs) are the challengers to ever bigger LLMs - they provide a cost-effective, targeted, and energy-efficient alternative for specialized enterprise tasks.
Reasoning and planning is the next frontier to be cracked by AI research. In the meantime, businesses resort to compound AI systems and hard-coded workflows that integrate relevant reasoning patterns by design.
Neuro-symbolic AI allows you to encode your domain knowledge into “hard facts,” reducing the error potential of your AI application.
User experience is one of the cornerstones of successful AI adoption. After all, what is the point of adopting advanced tech if it doesn’t get used? To design ergonomic experiences, you need to focus on transparency, trust, and co-creation with your users.
AI is transforming the workforce - companies need to empower employees with AI, create new roles, and navigate change through education, job augmentation, and transparency.
Download the report here: AI Trends in the Enterprise 2025.
But hang on - surely, there are more than these seven topics flying around in the current AI debate? What about other exciting developments, such as multi-modal AI, AI governance, and security? Indeed, our trend selection is curated - it combines large-scale data analysis, insights from many customer conversations, and a healthy dose of subjectivity. If you want to get your hands on more AI trends and insights, our new AI Radar is the perfect tool for you!
Introducing Anacode’s AI Radar
Amidst a noisy AI landscape, the AI Radar is your guide to clarity and actionable insights. Designed for businesses and professionals without a heavy technological background, it offers a structured view of the global AI landscape. Whether you’re navigating your first AI project or refining your strategy, this tool equips you with the established knowledge and cutting-edge insights to help you move ahead.
Here are just some of the things you can do with the AI Radar:
Uncover AI opportunities: Identify potential AI use cases and opportunities in your industry.
Choose the right tools and technologies: Find the best technological solutions and providers tailored to your needs.
Stay ahead of regulations: Monitor policy changes and compliance requirements specific to your domain.
Learn from thought leaders: Access best practices on strategic topics like monetizing AI, workforce transformation, and human-AI collaboration.
The insights are compiled through large-scale semantic analysis of AI-related content. This includes a diverse range of sources: scientific papers for fundamental R&D insights, tech blogs for practical implementation, business media for insights into commercialization and adoption, and consumer media to gauge public interest and sentiment. The radar merges these sources to create a comprehensive and balanced perspective on the AI landscape.
If you are curious and want to learn more about the AI Radar, sign up for the waitlist here and be among the first Beta testers!
Being in the know is great, but are you still struggling to get off the ground and start implementing AI in your organization? We’ve got you covered - in the next episode, you will learn about SpecifAI, our wizard for the discovery, specification, and assessment of AI use cases in your specific business context.
Keep innovating!
Best wishes
Janna