Gen AI Summit

Couldn't attend the 1st edition ? Catch up below with the conference videos now available

An exclusive gathering of AI thought leaders and early adopters for a day of in-depth exploration into Generative AI. This conference delves into the value propositions and advancements of the Swiss and international Generative AI landscape. Essential for decision-makers, CIOs, CTOs, Digital Managers, and Project Managers looking to stay ahead of the curve. 2024 edition is available below

AI Boat & Walk

Networking walk, 3.5km

We start the day with a literal panoramic view of the majestic Swiss landscapes while sharing insights.

Wednesday, May 29th 2024

Dozen of Experts across Europe, specializing in designing, building and deploying LLMs and related tools. Free of charge.

Agenda Highlights

08:50 - AI Boat + Walk (optional, open to all)

Change + Training

Visiting Unlimitrust residents, 3 AI companies: Effixis, Prometee, +1
Onboarding users and change management

Welcome at the Studio

Strategy, Design, Innovation + AI, Agile 2.0

Introduction from Raphaël Briner, Organiser - Value props of Gen AI

Summary made with GPT 4-o
A wide view on the +100 usecases within large organizations supporting a true AI transformation and driving digital AI leadership. Raphaël Briner emphasizes the shift from automation to augmentation with AI, encouraging a broader, enterprise-wide approach rather than limiting AI to specific departments. The speaker highlights the evolution of AI models, particularly the impact of generative AI, and the importance of understanding AI's capabilities beyond simple automation. He stresses the importance of multimodal AI, which combines language and vision models, enhancing agile capabilities and supporting unplanned use cases. He acknowledges AI's application in various domains, from simple to chaotic tasks, and reference research on AI's value propositions in functional, emotional, life-changing, and social impacts.

Pascal Wicht, Moderator

Discussed the polarization in AI adoption, noting a significant group of "non-adopters" who find AI ineffective. He pointed out that most people in businesses prefer convergent thinking (implementers) over divergent thinking, often due to educational systems. This cognitive bias impacts how AI is utilized, emphasizing the need for better user guidance to ensure AI doesn't reinforce limitations but rather helps address societal challenges.

Gisella Famà, Co-Founder / Gluecharm

Starting at 18:00 - Presented her startup's work on using generative AI to streamline product development. Despite initial challenges, they created an MVP in three months, focusing on control and customization to enhance user productivity without relying on chat interfaces. She emphasized the importance of human oversight to counter potential AI hallucinations and ensure accurate results.

Stéphanie Kioutsoukis, CEO / Fresh Strategy

Starting at 28:20 - Shared insights from her work with public sector and international organizations, using AI to inform strategies and enhance decision-making. She described projects like the Swiss program for labor and migration, where AI helps process vast amounts of data to identify trends and inform future strategies. Stéphanie also mentioned developing AI tools to support innovation and business processes, stressing the importance of human judgment in sensitive contexts.

Domain-specific innovation

Future of Advertising, Media & Legal

Summary made with GPT 4-o
Raphaël Briner and Pascal Wicht:
Innovation in AI is likened to a double wave: the massive accumulation of knowledge and the rapid integration into organizations. Comparison with blockchain, noting that AI’s adoption is faster. Future integration across various societal layers, including widespread use in tools like Microsoft’s Copilot and phones. Discussion on job impacts, particularly in translation and customer support, with AI augmenting rather than replacing human labor in most areas.

Romain Rosay, CTO / Amplify

Starting at 06:45 - Described Amplify's journey and pivot towards serving small and medium-sized enterprises (SMMEs) with limited advertising budgets. Highlighted the challenges of simplifying ad distribution systems and making the platform user-friendly. Showcased a tool that uses AI to generate ad content, making it easier for businesses without design resources. Emphasized ongoing innovation to automate ad creation and optimize ads using a patented feedback loop system.

Paula Reichenberg, CEO / Neur.On

Starting at 12:35 - Discussed the limitations of current machine translation tools like Deepl in handling specialized legal and financial translations, especially when nuances in different legal systems are involved. Highlighted the cultural and linguistic challenges in accurate translations. Mentioned the incremental improvements and future aspirations for AI in the legal translation field.

Deepak Tewari, CEO / Privately

Starting at 18:15 - Presented a technology that uses AI for age detection through faces and voices on devices, which is essential for ensuring age-appropriate content and transactions. Discussed challenges with deep fakes and the need for advanced detection methods. Explained the potential of Federated learning and continuous age estimation to improve accuracy. Emphasized the importance of regulatory frameworks in guiding the use of such technologies.

Models + Documents + Agents

Enterprise Knowledge, Future of search, AI CX

Summary made with Claude 3.5 Sonnet in the style of a Tech Mag
Raphaël Briner, Organiser Touched on various AI model types: Foundational or general-purpose models, Vertical and fine-tuned models, Smaller projects using retrieval-augmented generation (RAG). He discussed the typical challenges in the field (AI producing false information, Context loss, The high cost of increasing context windows). Briner introduced concepts like synthetic data, explaining it as AI-generated information useful for various applications. He encouraged attendees to explore RAG systems, suggesting Perplexity as an accessible example.

Antoine Perdaens, CEO / Elium

Starting at 08:30 - Showcased the evolution of AI-powered knowledge management. He introduced "KRAG," Elium's solution to retrieval-augmented generation (RAG) challenges, which combines RAG with robust knowledge management layers. Perdaens demonstrated smart assistants capable of handling RFP responses and customer support, highlighting AI's potential to transform information interaction. However, he didn't gloss over the difficulties, acknowledging the "production hell" of implementing RAG at scale. Using Google's pizza-cheese mishap as an example, Perdaens stressed the critical importance of quality data in AI systems.

Benoît Gaillard, CX Manager / Caterpillar

Starting at 14:45 - Offered an industry perspective on AI adoption in marketing. He emphasized aiming for better outcomes rather than just more content, highlighting AI's potential to enhance expertise and knowledge. Gaillard discussed using AI to generate synthetic expert personas, extract insights from diverse data sources, and automate processes like price elasticity studies. He stressed the importance of validating AI-generated insights against traditional data. For AI adoption, Gaillard emphasized the need for intellectual curiosity in organizations. He addressed barriers like fear of skill obsolescence and control loss, suggesting leaders foster curiosity through humility, generosity, and creating space for experimentation.

Valerio Arvizzigno, Principal Solution Architect/ Elastic

Starting at 22:37 - Painted a vivid picture of the company's role in revolutionizing search technology. He emphasized Elastic's ubiquity, powering 80-90% of applications we use daily. Arvizzigno outlined a vision where search evolves from simple product lists to personalized, context-aware answers. He highlighted Elastic's crucial position as the bridge between private enterprise data and large language models, addressing the "production madness" of implementing AI solutions. While acknowledging the challenges of data integration and model fine-tuning, Arvizzigno's enthusiasm was palpable as he described Elastic's hybrid approach, combining traditional keyword search with cutting-edge vector techniques.

Security + Compliance

Synthetic Data, Secured LLMs against hackers, Frauds, Risks

Summary made with GPT 4-o
Raphaël introduces the complexities of AI models at a gen AI summit. He explains that models are inherently static due to the costly process of creating and updating vectors. Discusses the challenges of integrating new information and the limitations of fine-tuning. Touches on alignment tools, context windows, and special instructions in prompts. Highlights the evolving security landscape in AI, mentioning new players in enterprise stacks and the importance of securing prompts.

Natalie Wu, Software Engineer / Lakera

Starting at 06:15 - Outlines the progression of AI from conversational to single-agent to internet-of-agents, highlighting increasing risks. Natalie focuses on prompt injection vulnerabilities in language models, demonstrating how malicious instructions can override system prompts. She provides real-world examples of AI misuse, including chatbots being manipulated on social media. Wu concludes by introducing Lakera's API solution, which helps detect prompt injections, inappropriate content, and other security issues in AI applications.

Lê Nguyên Hoang, CEO / Calicarpa

Starting at 13:10 - Emphasizes that AI security is an emerging threat, with systems already deployed but not fully understood. Lê discusses various attack types, including model poisoning, evasion attacks, and shift monitoring. He stresses the importance of security by design, urging companies to consider potential risks before deploying AI models. Lê highlights the need for mitigation strategies and recourse plans. He concludes by referencing recent cybersecurity incidents, emphasizing the importance of being aware of vulnerabilities in the entire AI software stack.

Dominique Guinard, VP Innovation / Digimarc

Starting at 20:23 - Explains C2PA's goal to restore trust in digital content by providing provenance information for digital assets. Guinard discusses the standard's ability to protect creators' intellectual property and its rapid adoption by major tech companies and media outlets. He highlights Digimarc's role in developing more durable content credentials through digital watermarking. Guinard mentions recent legislative developments supporting content authentication and introduces a Chrome extension for viewing C2PA information. He emphasizes the growing importance of content provenance in the age of AI-generated media.

Moderator: Lennig Pedron
While current risks mainly involve reputational damage, future risks could be more severe as LLMs gain autonomy. Opportunities highlighted included improved information analysis, retrieval, and increased efficiency in various tasks. The discussion touched on compliance issues and the risk of AI-generated misinformation. The expanding attack surface of LLMs, both during training and after deployment, was addressed. Speakers debated which actors might lead in AI development, with large tech companies seen as best positioned. The importance of distinguishing between synthetic and non-synthetic content was stressed. The session concluded with hope that democracy would ultimately benefit from AI advancements, citing Taiwan's successful digital democracy implementation as an example.

Innovative Models

Small models, Natural intelligence & predAI

Summary made with Claude 3.5 Sonnet in the style of Wired Mag
Raphaël Briner kicked off the session with another rapid-fire update on the AI landscape, his words tumbling out like an overexcited tech prophet. GPT-4 with voice? Check. Sora and Gemini on the horizon? You bet. Briner's barely contained enthusiasm was infectious as he demoed GPT-4's voice capabilities live, marveling at its speed and latency. But it wasn't all starry-eyed wonder. Briner touched on the darker undercurrents of the AI gold rush - the GPU battles, data collection controversies, and the looming specter of sky-high processing costs. He painted a picture of an AI world where open-source models are nipping at the heels of the closed-source giants, and where specialized models might just be the key to solving thorny problems like data hallucination. Briner's whirlwind tour wrapped up with a nod to the ethical considerations and infrastructure challenges (electricity needs) facing not only the industry but the world. His parting shot? A gleeful endorsement of, as the secret sauce for faster, cheaper AI prompting infrastructure (inferencing). It was a breathless introduction that set the stage for a deep dive into the nitty-gritty of AI innovation.

Richard A.Frey, Inait

Starting at 11:45- presented a vision of AI that's more brain than brawn. With 50 million in funding, Inait is leveraging neuroscience to create what Frey calls "truly intelligent AI." Their approach spans from luxury watch defect detection to quant trading, showcasing a versatile application of their technology. Frey's enthusiasm for forecasting AI was palpable, but he's not putting all his eggs in one basket. Inait's strategy of spinning off successful projects into separate ventures demonstrates a pragmatic approach to innovation. While the fusion of neuroscience and AI is intriguing, only time will tell if this brain-inspired approach will give Inait an edge in the crowded AI market.

Anastasia Stasenko, Pleias

Starting at 18:38 - Anastasia, co-founder of Parisian startup Pleias, made waves by championing smaller language models in a world obsessed with size. Her focus on data quality over quantity is a refreshing counterpoint to the "bigger is better" narrative dominating AI discussions. Pleias is ambitiously building open data assets for training, aiming for a hefty 2 trillion tokens. Their work on a sovereign French model for public services underscores the growing importance of localized AI solutions. Stasenko's cautionary note about the potential disappointment in enterprise AI adoption was particularly striking, suggesting a more measured and realistic view of AI's near-term impact. Her emphasis on "boring but effective" AI solutions might just be the wake-up call the industry needs.

Paul-Olivier Dehaye,

Starting at 24:55 - Dehaye, leading the boutique firm Hestia AI, brought a mathematician's precision to the world of practical AI applications. His Swiss-hosted Argo platform, mirroring OpenAI's infrastructure, hints at a growing demand for localized AI solutions. Hestia AI's diverse portfolio, from personalized news aggregation to aiding Uber drivers, showcases AI's versatility. Dehaye's focus on client education and data ownership reflects a thoughtful approach to AI integration in business. His analogy between AI workflows and city traffic patterns was particularly intriguing, suggesting novel ways of conceptualizing AI systems. While Hestia's broad range of interests is impressive, it remains to be seen if this jack-of-all-trades approach will yield mastery in the competitive AI landscape.

The panel, moderated by Johannes David, delved into the challenges faced by smaller AI companies in a field dominated by tech giants. All three panelists emphasized the importance of finding niches and leveraging European strengths like privacy and regulation. The discussion on smaller versus larger models was particularly heated, with Stasenko strongly advocating for the efficiency and practicality of smaller models in enterprise settings. Frey and Dehaye, while not directly competing in the language model space, echoed the sentiment that bigger isn't always better in AI. The conversation took an interesting turn when discussing the future of AI in Europe. Concerns about sovereignty and the risk of decisions being made elsewhere were balanced against opportunities for innovation. Stasenko's warning about the potential disappointment in enterprise AI adoption sparked a debate about managing expectations in the industry. The panel concluded with a brief but thought-provoking discussion on the definition of AGI, revealing diverse perspectives on the future of artificial intelligence. While the panelists differed in their approaches, they shared a common thread of pragmatism and a focus on solving real-world problems with AI, offering a grounded counterpoint to some of the more hyped narratives in the field.

Post-event note from Raphaël: The audience will remember this epic and hearthful message from Anastasia: "It's okay to do boring stuff !".

See you next year and join the AI Boat!

16 very good reasons you should come

  • Reducing rampant anxiety about the arrival of AI in the workplace and society
  • Conference accessible to non-data scientists
  • Inclusive panel: 6 women speakers
  • Gain a cross-functional view to better understand each stage and approach
  • Discover the opportunities and risks in different areas
  • Dive into the bowels of Models to get the upper hand on them
  • Sharpen your reference points for better innovation
  • Find technical partners

  • Small format = great interaction and room for the audience
  • Develop a human-centred approach
  • Start to see the difference between generative and predictive models
  • Sense security and compliance issues
  • Sharing best practices between peers, including non-AIs
  • Linking mind and body for a top day
  • Discover Unlimitrust, the AI hub for the industry

  • Free of charge including lunch and transport (boat+train)

Coming next
Summit 2025, Davos gathering, vertical conferences.
Much more to come.
Join the AI boat
Any question ? Contact the Organiser