STARTUP PITCHES
Data augmentation using Generative AI
To achieve generalizable Deep Learning models, large amounts
of data are needed. Sometimes, data may be scarce and expensive to
collect.
Standard augmentation techniques such as
flipping, blurring or random rotation are routinely performed to help boosting model performance but these techniques have its own limitations and pitfalls.
In this session, we will explore how to augment training datasets using Stable Diffusion for a domain-specific use case.
ACTIVEEON : AI Orchestration with an advanced MLOps platform
What is AI Orchestration?
AI Orchestration represents all the people, processes, tools and resources within your business and connects them to enable successful AI projects.
ProActive AI Orchestration from Activeeon streamlines the flow of information from source to destination, automates the workflow between teams and industrializes the process. It unifies your existing and future IT infrastructure, as well as applications and tools. All actors involved in the AI pipeline can connect commercial or open-source apps to the common framework and share AI outputs at each stage of the pipeline. This AI framework enables continuous data acquisition, facilitates Data Scientists to train and select models, creating a smooth transition from pilot to productization and enabling the visibility of processes from end-to-end.
How do MLOps principles, embedded within ProActive AI Orchestration, help your AI success?
MLOps is the key to generating business value from AI projects. It's a game changer when you need to automate and scale the deployment of AI models.
The goal of MLOps is to remove the frictions from the experimental stage right through when the model is in production. Making sure to successfully put AI model in production in the shortest possible time with as little risk as possible.
Traditionally, machine learning has been approached from a perspective of individual experiments, predominantly carried out in isolation by data scientists. In reality, only models running in production can bring value. Models have zero ROI until they can be used. Therefore, models deployment need to be integrated within the AI pipeline and move from informal to an industrialize process.
Come hear about how Activeeon AI Orchestration solution based on MLOps principles can bring value to your business.
CapRAM: Towards server-class AI on the Edge (or: why smart glasses failed)
ALEIA - Découvrez la plateforme ALEIA avec Antoine Couret son fondateur
Industrial AI: data-driven performance improvement
How to leverage under exploited data in factories for predictive maintenance, energy consumption reduction or process optimisation?
DPOPTION - AI and GDPR : new regulations, new approaches
TAIPY - How to build stunning Data Science Web applications in Python
How to build stunning Data Science Web applications in Python - Taipy Tutorial
This workshop presents Taipy, a new low-code Python package that allows you to create complete Data Science applications, including graphical visualization and managing algorithms, pipelines, and scenarios.
It is composed of two main independent components:
Taipy Core
Taipy GUI.
In this workshop, participants will learn how to use:
Taipy Core to create scenarios, use models, retrieve metrics easily,
Taipy GUI to create an interactive and powerful user interface in a few lines of code.
These two components will be used to build a complete interactive AI application where the end user can explore data and execute pipelines (make predictions) from within the application.
With Taipy, the Python developer can transform simple pilots into production-ready end-user applications. Taipy GUI goes way beyond the capabilities of the standard graphical stack: Gradio, Streamlit, Dash, etc.
Similarly, Taipy Core is simpler yet more powerful than the standard Python back-end stack: Airflow, MLOps, Luigi, etc.
Paradigm the only Large Language Model for the Enterprise.
EMERSIO - Automating financial forecasts with AI
A new hardware for explainable AI at the edge
The Dark side of AI
offers opportunities for cost reduction, quality enhancement, and
profit growth. However, it also poses risks that need to be addressed.
Security, trust, and regulation are crucial initial steps for closing the gap.
Digital data management : an unavoidable concern !
MLOoops! , how to avoid troubles in Computer Vision pipelines with CVOps
Engaging Experience : reinventing Customer Experience
Facing the multiple crises, individual and collective behaviors are not changing fast enough. Wassati
is using the most advanced AI technologies to ease and accelerate changes by renewing the Customer Experience
best practices called Engaging Experience. We
provide advanced tools and methodologies to avoid GreenWashing communication,
diminish reputation risks, accelerate engagement, increase customers loyalty,
retain meaningfull employees, increase operational efficiency and instrument
high level governance decisions with double materiality dashboards. At the
conjunction of CSR, HR, Marketing and data, our team of experts audit how your company is currently engaging and design with you the future of
your organisation, aligned with your internal and external audiences' values.
QRUISE - ML for Quantum Technologies - Building the Qruise AI Physicist
To make progress, Qruise is building a machine learning physicist, to work alongside human physicists in the task of characterizing the exact minute details of each device fabricated, and then control and calibrate each quantum operation.
Most importantly, the digital twin created by the Qruise software will allow physicists to identify the causes of imperfections in the operation of current-generation hardware, thus focusing the efforts and maximizing the improvement in the next-generation devices.
[1][2014] Barends, R., Kelly, J., Megrant, A., Veitia, A., Sank, D., Jeffrey, E., ... & Martinis, J. M. (2014). Superconducting quantum circuits at the surface code threshold for fault tolerance. Nature, 508(7497), 500-503.
[2][2019] Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., ... & Martinis, J. M. (2019). Quantum supremacy using a programmable superconducting processor. Nature, 574(7779), 505-510.
[3][2022] https://research.ibm.com/blog/eagle-quantum-processor-performance
Building on demand Data Science solutions, from Business Strategy to Product Industrialization
What are the best practices associated?
- Building use cases
- Data Strategy
- Business framing
- Data Experimentation
- PoC Development through a R&D methodology
- Industrialization of the solution into the target environment
Human Oversight : the bridge between AI ethics and conformity
Scaleout; The Federated Learning Platform
The most valuable data in the Enterprise can often not be pooled in a central cloud for regulatory or practical reasons.
By leveraging data distributed in multiple data silos or over large numbers of devices, better predictions can be achieved.
Scaleout's software platform gives your data scientists the central cloud's unified development experience without the need to centralize data. This greatly reduces security risk in industrial machine learning.
Your customised NLP solution made 10x easier
2/ Use our pre-trained NLP/NLU models to save time and see results from day 1
3/ If pre-trained models aren’t enough, you can start labelling and train a custom NLP model in one click
4/ Assess your model’s performance, test it and push it into production with just one click!We’re also working on ontology management and data structuration tools to help you turn your documents into beautiful knowledge graphs with minimal effort.
Think Canva, but for NLP.
TENSTORRENT - AI Hardware and why GPUs are Old News
SUPWIZ - Create better service with AI!
Have you also tried to contact a support team but experienced being number 45 in line before receiving an answer to your problem? It is frustrating, right? Customers contacting a company expect a fast response, convenience, and high-quality answers, regardless of the communication channel that the customer uses, and this is what we would like to help you with.
SupWiz is one complete AI platform for automating and assisting with customer service across all communication channels. SupWiz solutions are today used by thousands of agents serving millions of users across the globe.
Our AI platform includes chatbots, voicebots, ticket routing, email sorting, knowledge article matching, and more. The solution enhances existing systems such as Zendesk, Remedy, and ServiceNow with advanced AI, NLU, algorithms, and machine learning.
Join our presentation
and hear how large enterprises use our solutions today!
CIRQ+ - The AI Solution for a Greener, Cleaner, and Healthier Future
DATAKEEN - Le compte est bon : count and verify the quality of your products with an intelligent visual recognition platform!
AI isn't really creative?
Employing Ethical AI - The Importance of Research
Scaletorch.ai - How to speed up your DL experiments?
Make your AI compute 10x-1000x faster.
A key enabling factor in the innovative AI work you see from organizations such as DeepMind, FAIR, OpenAI is powerful computing infrastructure available to their DL researchers to train large scale neural networks. We believe that this kind of computing infrastructure should be not restricted only to a few privileged companies. Rather, such infrastructure should be available to startups, researchers, universities and non-profits at low costs and without the system engineering chops required.
Scaletorch speeds up your deep learning training between 10x-1000x by leveraging GPU capacity across multiple clouds in a fault-tolerant manner. With Scaletorch accelerate your AI training by 100x and at a 98% lower cost with ZERO CODE CHANGES.
Intelligence Node - Applications of AI in Competitive Intelligence & Trend Insight for Consumer Commerce
UNITREE - Change the life with robot dog
neQxt - High Fidelity Quantum Computing with Trapped Ions
neQxt offers quantum computing as a cloud service making use of processors based on trapped ions.
You will be supported and advised on use cases. We offer to test your algorithms with our software stack and simulator and run your algorithms on our trapped-ion quantum computers. Our various user interfaces allow to enter the world of quantum computing at different levels of experience, from education to industrial applications.
Synthetic data: An efficient, cost-effective and responsible way to AI success
CI/CD for Machine learning models: How to test ML models?
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