| Mary Cazanove
OCR vs Vision Models: How to choose the right technology for your software?
AI-powered OCR or vision-language models? Understanding the strengths of each approach to make the right integration choice for your software.
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Analyses, experience reports and insights on conversational AI and AI integration for software publishers.
| Yann Torrent
MCP is not dead, it's being misused
The MCP protocol is under fire, but the real problem is the LLM-as-router architecture. Agora's approach separates understanding from execution.
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| Yann Torrent
Local inference
Why Agora chose local inference to run AI models: sovereignty, cost control, performance, and full technical mastery of the stack.
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| Thierry Grenot
AI, a powerful growth driver for publishers
AI could boost EU GDP by 0.7% per year. Software publishers are key players in capturing this value through AI-enhanced applications.
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| Thierry Grenot
Agentic AI: ideal employee or ticking time bomb?
Agentic AI promises unprecedented efficiency but relies on unpredictable model behaviors. Explore the risks, solutions, and future scenarios.
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| Mary Cazanove
Conversational agents vs chatbots: understanding the differences
Chatbots follow scripts; conversational agents understand context, adapt, and orchestrate complex actions. Learn the key differences.
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| Thierry Grenot
Business application publishers: drivers of productivity
Conversational AI is transforming business applications. Publishers hold the key to democratizing AI for SMEs and large companies alike.
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| Thierry Grenot
AI at all costs? Understanding pricing models
AI pricing models for software publishers: embedded vs premium, cost structures, and strategic positioning in a rapidly evolving market.
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| Thierry Grenot
Software publishers: May the Force be with you!
Porter's forces analysis applied to conversational AI for software publishers. How competitive dynamics are shifting over the next 3 years.
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| Thierry Grenot
AI and ethics: knock or no knock?
From nudges to deepfakes, from medical ethics to digital ethics -- exploring the ethical dimensions of AI for software publishers.
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| Thierry Grenot
Open source, open weight or proprietary LLM?
Understanding the differences between open source, open weight, and proprietary LLMs -- licenses, performance, costs, and sovereignty.
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| Yann Torrent
The difficult prediction of digital's environmental footprint
Is digital technology driving ecocide? The reality is nuanced -- examining efficiency, growth, and the environmental impact of the sector.
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| Thierry Grenot
Hallucinations, LLMs and conversational AI
LLMs sometimes generate false information presented as fact. Origins, consequences in professional contexts, and mitigation strategies.
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| Thierry Grenot
The AI Act: dura lex, sed lex
The European AI Act has come into force. What software publishers integrating AI features need to know, and what they must do to comply.
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| Mary Cazanove
Simplify your ERP by integrating conversational AI
ERPs are powerful but complex. Conversational AI lets users access them in natural language, without training, and get the most out of them — even occasionally.
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| Mary Cazanove
8 questions to ask yourself before integrating AI into your application
Integrating AI into your application requires method and foresight. Here are the 8 key questions every product director should ask before getting started.
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| Thierry Grenot
CEO, conversational AI: 4 reasons to pay attention
Beyond the post-ChatGPT hype, why should software publisher executives take conversational AI seriously? Four concrete reasons.
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| Thierry Grenot
Conversational access to business software: 10 criteria for the product director
What criteria should you evaluate before integrating conversational AI into your business software? A practical guide for product directors at the conversational tipping point.
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| Mary Cazanove
User experience on mobile applications: challenges & solutions
Smartphones have revolutionised our relationship with technology, but mobile user experience often disappoints. An overview of the key challenges and solutions, including conversational interfaces.
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| Thierry Grenot
Conversations for enterprise applications
After web and mobile, conversational interfaces open a new access mode for business software. Why this evolution is now possible, and how to implement it.
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| Thierry Grenot
Digital adoption remains a challenge
84% of employees don't master the tools they use every day. Why digital adoption is still a critical issue for organisations, and how to address it.
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| Mary Cazanove
When AI steps up to HRIS, users are the winners
Conversational AI integrated into HR Information Systems benefits both end users and software publishers by automating routine tasks and improving the user experience.
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| Thierry Grenot
The emergence of ChatGPT
How GPT, described as a 'next-word prediction machine', manages to answer complex questions despite its fundamentally simple nature.
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| Mary Cazanove
Publishers: the user is the key
A publisher who wants to deliver the best experience must focus on their users. User experience is unfortunately rarely the starting point in enterprise software.
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| Yann Torrent
ChatGPT: enthusiasm or concern?
ChatGPT has dominated headlines for weeks. Impressive technical achievement or tool to handle with care? An analysis of this generalist language model's capabilities and limitations.
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| Thierry Grenot
Software publishers: simplify your users' journeys
Collaborative tools are multiplying without always considering user experience. Natural language is the key to an efficient and accessible digital workplace.
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