| Mary Cazanove
Token prices are falling. Your bill isn't.
Inference cost drops 50x a year. Yet software publishers' AI budgets keep growing. Here's the gap between sticker price and real cost.
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Analyses, experience reports and insights on AI agents, LLMs and their integration into business software.
| Thierry Grenot
Monetizing AI: why publishers are stuck
Token prices keep falling, yet your agentic AI costs climb anyway. Token-based, premium, embedded, outcome-based: how do you choose?
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| Mary Cazanove
OCR vs Vision Models: which tech should you choose?
AI-powered OCR or vision-language models? A practical guide to choosing the right approach for your software, and why most publishers end up needing both.
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| 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 interpretation 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: key differences
Chatbots follow scripts; conversational agents understand context, adapt, and orchestrate complex actions. Learn the key differences.
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| Thierry Grenot
Business app 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
Predicting 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, even occasionally.
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| Mary Cazanove
8 questions before integrating AI into your app
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: criteria
What criteria should you evaluate before integrating conversational AI into your business software? A practical guide for product directors.
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| Mary Cazanove
Mobile user experience: challenges and solutions
Smartphones have revolutionised our relationship with technology, but mobile user experience often disappoints. Challenges and solutions.
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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.
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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, 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 language model.
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| Thierry Grenot
Software publishers: simplify your users' journeys
Collaborative tools are multiplying without always considering user experience. Natural language is key to an efficient digital workplace.
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