WORKSHOPS
Accelerating Time to Solution with Modern AI Frameworks
AI is a key technology to accelerate growth it is driven by the largest players in the tech industry. Their supreme AI lets them create cutting edge products with great scaling effects. For smaller companies especially those from a non-IT background it can be daunting to get AI to production quality.
This talk looks at freely available frameworks that allow the acceleration of the time to solution combined with a better management of the AI software stack. It will present a case study that shows the power of modern AI workflows over traditional AI development.
AMBASSADE DU CANADA EN FRANCE - Why Canada continues to attract global talent and capital?
- Global Innovation Clusters: Transforming Canada’s Innovation Economy by Stephen FERTUCK, Senior Director, Global Innovation Clusters, Innovation Canada/ Innovation, Science and Economic Development Canada, Government of Canada
- Canadian AI Ecosystem : Delivering results by Julien BILLOT, Chief Executive Officer, Scale.AI
- Technology showcase by Louis Roy, CEO of Optel and Aryan Durrani, Managing Partner of Foxfire Labs -
SMARTCOW - Building Tomorrow World with Digital Twins and ITMS solutions.
Transportation is the core of smart city development, a well managed traffic demographics can optimize the mobility of the city. At SmartCow, we used the latest NVIDIA Jetson AGX Orin product with our IVA stack and management platform that performs a wide range of traffic analytics and violation detections to help customers build the next-generation smart city.
Using Omniverse and its capability to generate synthetic dataset is the entry point to solve real-world scenarios.
You’ll learn about SmartCow Omniverse work, our solution for device management and how we combine the NVIDIA and SmartCow technological stack to provide a holistic solution for smart cities and more.
Ethical considerations when implementing AI
Long before implementing AI technically, there are ethical considerations to be made. The risk to your company’s reputation from an ethical misstep, is arguably bigger than the risk of not being regulatory compliant. But where do you start? What are some of the possible pitfalls? Is there a framework to use? Should you have an AI Ethics board? Priya and HP will discuss some real life examples where AI implementations failed, even when the intentions and ethical considerations were made. Learn how AI implementation is so much more than a technical implementation.
Speaker Bio's
Priya Krishnan, Director, Product Management at IBM Data and AI
Priya Krishnan is the Product Management Executive for Data Governance and Data Science at IBM, managing a portfolio of products that make it easy for businesses to consume AI. Priya has been with IBM for 12 years with experience across multiple product domains in the Data management and Data science space. Prior to joining IBM, Priya was a data scientist at a startup that was acquired by IBM. She holds a bachelor’s degree in Engineering Management and a Masters in Operations Research from UT Austin.
Hans Petter (HP) Dalen, Sales Executive AI Governance at IBM EMEA
HP is leading IBM’s AI Governance business in EMEA, providing clarity on how to implement and use AInresponsibly. He has previously been leading IBM’s collaboration business as well as IBM’s business intelligence business in EMEA. With 23 years in IBM, HP has both broad and specialist knowledge in the transformational journey to become data driven and AI trustworthy.
PNY - From Data Center to Edge Solutions with NetApp AI Storage & NVIDIA Networking
During this workshop, Martin Jezequel
will explain how PNY mastered AI from Data Center to the Edge thanks to NetApp
AI Storage, and orchestrated by NVIDIA Networking. Martin will also describe
what is AI and Deep Learning, GPU in deep learning, Unified Hardware with DGX,
AI Datacenter platform...
How to Easily Migrate AI models from GPUs to AMD AI Engine Architecture
FPT - akaCAM: AI-based next generation video monitoring platform
- Associate Professor: Long Tran-Thanh
- Deputy Head (Director of Research), dept. of Computer Science, Warwick, UK.
- Chief Scientific Officer of Actable AI
- Principal Data Scientist at FPT Software
Leverage AI to Predict Future Outcomes and Enhance Financial and Operational Planning
You can’t realize the value of your data if you rely on manual disconnected and error-prone processes. IBM Planning Analytics with Watson allows you to unify and streamline planning, budgeting, and forecasting, fueled by AI, across every part of your organization. Hear from Vaasan, a Finnish bakery, along with their Analytics Partner, Intito, on how to utilize planning technology to deliver faster, more agile integrated plans that can pivot in real time and arm you with predictive insights to enhance business workflow.
Speaker Bio's
Joonas Alasaari, Senior Business Controller at Vaasan Oy
Joonas Alasaari is a Senior Business Controller working for Vaasan Finland (Fresh bread baking Finland and Baltics.) Hailing from Pori, Finland, he has a M.Sc BA from Turku School of Business. Mr Alasaari is an experienced finance and sales professional with background on finance, controlling and key account management and is heavily focused on analytics and automation. He leads the controlling team with focus on co-piloting the business and modern and innovative reporting solutions and is a firm believer on integrated business planning. His next professional goal is to learn more about long term data management. He also has background on both multinational business (Nestlé) and local Finnish companies.
Visa Linkiö, Lead Data Scientist at Intito
Visa is a Lead Data Scientist who has developed and deployed scalable AI products in the Nordic countries. He is responsible for AI products and projects at Intito. Over the last 4 years, he has helped a dozen customers to advance on their AI journeys. His interests include forecasting, outlier detection, and mathematical optimization.
SAS INSTITUTE - Purposeful AI in action, from saving lives, the planet and winning competitions
TAIPY - Groupe Les Mousquetaires
Taipy - Bringing AI to the Business User - Retail Use Case: Cash Flow Management Groupe Les Mousquetaires
One of the biggest challenges that developers of Big Data and AI applications face is delivering a solution that can be used by businesses on a regular basis to drive decision-making. Groupe Les Mousquetaires, a leading European retail group, will showcase how they used Taipy, a development tool, to build a cash flow application that helps predict and manage stock.
The use of Taipy was central to the development of this AI application, as it allowed for fast development and provided a unique "what-if '' analysis feature through the use of scenarios, which was essential for user acceptance of the AI algorithms.
The high-speed development capabilities of Taipy facilitated seamless communication between data science teams and business users, enabling the finance department to automatically generate, script, and execute algorithms for cash-flow forecasting. The implementation of the CFM project with Taipy resulted in more active cash management, leading to gains by accurately identifying the best times and amounts to invest or borrow, as well as selecting the most suitable investment vehicles. This project generated a high return on investment, which was further increased by rising inflation.
In this talk, we will demonstrate how Taipy's low-code GUI component can be used to create visually appealing and interactive dashboards, as well as how Taipy Core can be utilized to efficiently manage complex data flows.
HUAWEI - Building Scalable Data and AI Solutions for Industries
- Fuat Aigin, Expert Ecosystem Development at Huawei Cloud.
Hybrid AI applied to NLP
AI amplifies the reach of OCR to drive hyper automation
Going paperless and dealing with digital documents is often seen as getting onto the digitisation journey. Sorry to disappoint you, but capturing an image of a document and throwing the paper in the trash, is neither digitisation nor meaningful automation.
AI/ ML technologies around computer vision, Natural Language Processing and Deep Learning have gone fully mainstream and making a profound impact across our personal and professional lives. It is a truism that "OCR" impacts only 20% of documents with unstructured documents being largely out of reach. It is also a reality that humans communicate in ‘unstructured formats’ that are not easily amenable to traditional document extractors. As Yoda might say, “Real life is not, in a form, summarised”.
Enter CMR+ (Cognitive Machine Reading) the smart solution to processing documents with genuine intelligence and continuous learning. The platform vision follows the lead of RPA to enable citizen developer configure algorithms and business rules to read typical documents encountered daily including emails, invoices and long-form contract documents.
This technology reaches the parts of a process that OCR and RPA cannot.
Join our session as we explore how CMR+ emulates human’s speed-reading a document, finding nuggets of data embedded in paragraphs and enriching data for usage in downstream systems. The business impacts include driving new product innovation, 10x jump in productivity, improved customer service and high compliance.
KONICA MINOLTA - AI AND THE GENIUS OF THINGS
What’s one of the main limits for AI to be widely used in different contexts and applications?
GRAPHCORE - Optimizing Machine Learning with Cloud-based IPUs: Techniques, Best Practices, and Cost-saving Strategies
- Vsevolod Vayner, Product Director at Gcore
HPE Ezmeral Unified Analytics Smart Diagnosis use case
HPE Ezmeral provides software foundations to
help end-users develop and deploy data and analytic applications across hybrid
cloud environments. HPE Ezmeral Unified Analytics provides a curated, managed
set of popular open-source frameworks targeting workloads in data engineering,
large scale data analytics, BI reporting and exploratory data science, AI, and
ML.
While developing with open-source is growing in
popularity across enterprise development teams, managing open-source frameworks
introduces several operational overheads such as for harmonizing versions,
patches for security and compliance.
HPE Ezmeral Unified Analytics provides a
fully managed, integrated and supported set of open-source frameworks freeing
up the end user to focus on development while HPE manages the tools for you.
Frameworks include Apache Spark, Apache Superset, Presto SQL, Apache Airflow,
Kubeflow, MLflow, Feast and Great Expectations.
The workshop explains an HPE Ezmeral Unified Analytics use case from the health industry.
More information about here : HPE Ezmeral Unified Analytics
Custom Approach vs. Turnkey Platform: Navigating the Industrialization of AI
Are you interested in learning about the industrialization of artificial intelligence?
This workshop will provide valuable insights on how to effectively implement AI in industrial settings. Our experts will guide you through the pros and cons or key assets of adopting a custom approach versus using a turnkey platform. You will also have the opportunity to see real-world examples of successful AI industrialization and learn from industry leaders.
With our valuable knowledge and insights you could stay competitive and concrete. Join us and let's explore together the best approach for your organization or your project to industrialize AI.
AXELERA AI - AI in Computer Vision: market opportunities, trends, and challenges
How to scale AI teams ?
Proud to constitute and manage at Preligens the largest team specialized in AI for defense and intelligence in Europe, Alexis Bergès - our AI Director - will give a retrospective of the company's scaling experience and share some best practices. What are the challenges associated with expanding AI teams within an organization? Are there alternatives for more effective scaling? What kind of key skills to look for when hiring your first data scientist? How do you manage and structure the scaling of your AI team? What are the main pitfalls to avoid?
If you still have questions after this workshop, we will be at booth A38 in the rotunda to answer them.
How AI Assists Broadcasters Improve Content Quality and Remain Competitive
AI & Trust at the core with Crédit Mutuel: Let’s make it real !
Ethic and trust in AI are definitively hype topics that many people are talking about but only a few are making it real and at scale within big organizations.
Crédit Mutuel and IBM created and operationalized a Cognitive Factory that manages dozens of use cases through various business domains.
Now, it is time to talk about the AI Trust Platform that this Partnership is building which will ensure transparency, explainability and fairness without forgetting human oversight.
During this session we will share what we are doing, learning and projecting for the future.
Speaker Bios
Jean-Philippe Desbiolles, Managing Director and Vice President, Financial Services, IBM
Named the "French Doctor Watson" by Forbes magazine, Jean-Philippe Desbiolles has contributed to the world's largest cognitive projects in the banking & insurance sectors. He has worked extensively in Asia, United State of America and Europe, shaping and delivering digital transformational projects combining best-of-breed technologies.
Author of the books "AI will be what you make of it : the 10 golden rules of AI"published in 2019 & “Human or AI? Who will decide the future?” which will be published in March 2023, he aims at demystifying the new rules of the game in this new Human/Machine collaboration.”
Jean-Philippe Desbiolles is also teaching AI & Data transformation in several executive education programs, as HEC Executive MBA – Major “Leading Digital Transformation”.
Carolina Camacho, AI & Transformation – Associate Partner IBM
Born in Colombia, Carolina Camacho moved to France at the age of 18 and has lived and worked in consulting firms for the past 17 years. Her blend of Latin American and European cultures has given her a unique perspective on the world, which she has used to drive transformation and the adoption of new technologies for more than 10 clients throughout her career.
For the last 2,5 years, she has been leading for IBM, jointly with her client, the Crédit Mutuel’s Cognitive Factory, a dedicated team of more than 140 talents focused on improving even more customer and bank advisors' experience.
She believes that technology can only be driven by human adoption based on trust, and has dedicated her career to helping organizations make the most of the latest technologies particularly in AI.
She is currently an Associate-Partner at IBM, where she continues to drive innovation and transformation for her clients, mainly for the Crédit Mutuel. Throughout her journey, she has proven to be a dynamic leader with a passion for driving change and empowering others.
Laurent Prud’hon, Cognitive Factory Leader, Credit Mutuel
Credit Mutuel, a leading French bank and insurance company with more than 30 million customers and 72,000 employees, realized very early that AI would be a key transformative technology to continue to provide the best services to its customers, in an always more competitive and complex digital world. In 2015, Crédit Mutuel president Nicolas Théry and Euro Information CIO Frantz Rublé decided to pioneer the use of AI at scale in the banking industry. To speed up the deployment of AI in all business lines, they created a “Cognitive Factory”in partnership with IBM : a dedicated team of AI specialists in charge of innovation, industrialization and deployment of cognitive solutions in the company. Laurent Prud’hon, previously in charge of entreprise architecture, was appointed to grow this Cognitive Factory. In 2022, the Cognitive and OCR Factory employs 200 people, with integrated teams of Crédit Mutuel and IBM resources : innovative use cases, industrial methods and tools were built and refined over the last 6 years to enable the successful deployment of dozens of cognitive and OCR solutions in production, with sizable gains in simplicity and efficiency for our customers and employees.
GRAPHCORE - Disrupt or be Disrupted: Unlocking the Potential of NLP AI in Traditional Knowledge Industries
- Luke Markham, Field Applications Engineer at Graphcore
CONFINDUSTRIA UDINE - IEEE STANDARDS ASSOCIATION - The imminent European AI regulation and the industrial preparedness and response
SPEAKERS:
Anna Mareschi Danieli – Member of the Group Executive board Danieli & C. SPA and Vice President Confindustria Udine - Moderator
Angelo Montanari –
Konstantinos Karachalios – Managing Director IEEE SA
The surprising ineffectiveness of modern generative AI for complex knowledge work and how to solve this industrial revolution. By Aleph Alpha
The abundance of information and knowledge in today's digital age has made it difficult for individuals to find accurate and reliable information. The next generation of AI, based on large language models, has the potential to aid knowledge workers, but it faces challenges in processing complex data and providing trustworthy information. Lumi, a conversational interface powered by Aleph Alpha's Luminous models, addresses these issues by referring to a knowledgebase and providing information to the user. By using an optimized search model, this allows for fast searches and content embeddings, providing a real-time solution for knowledge workers in need of accurate information.
Markus Schmitz, AI Delivery @Aleph Alpha
Aleph Alpha
Pioneer sovereign, European AI Technology to transform human-machine interaction that can find solutions for the challenges of tomorrow.
European AI value chain
We aspire to innovation leadership in AI to ensure sovereignty
for our public and private sector partners. For that, we provide a complete “Made
in Europe” AI value chain offering, ranging from research and development over
computing to consulting.
Adding Responsible NLP to your AI Kit
FPT - DX Garage - A framework to navigate your digital transformation journey.
- Fabien Roudier: As an expert in Design Thinking, Fabien helps with Value-driven workshops and Problem-Solving in Digital Transformation for enterprises. While most of the Digital Transformation initiatives will become a waste of budget due to various issues in planning, implementation, change management, technology adoption, etc., Fabien helps envisage the roadblocks in consideration of industry knowledge and craft the roadmap for transformation and transition. With DX Garage – a method conceived at FPT Software – Fabien delivers value-driven MVP, accelerating the journey to Digital Transformation.
AlphaWingman project introduction
Relatively recent news in Artificial Intelligence has shown this through Psybernetix's Alpha AI in 2015, up to DARPA's AlphaDogfight competition in 2020, in works ultimately exposing a confrontation between AI and the fighter pilot.
AlphaWingman is a French Air and Space Force innovation project. It aims to explore the use of the most recent technologies in AI. The approach in this project rather targets the search for performance in the duo: combat pilot and AI.
This workshop will introduce:
- The approach followed by the project, which relies on an eSport context to carry out its explorations.
- Some first achievements.
- Possible future areas of collaboration.
HUAWEI - Presentation of a concrete case of the use of Artificial Intelligence to fight against invasive species in aquatic environments
To prevent invasive pink salmon (Pacific salmon) from entering the norwegian fjords ecosystem and protect native wild Atlantic salmon from extinction and to improve river conservation efficiency Huawei has developed the world’s first AI-based automated salmon filtering system deployed in a natural river. It has proven to be effective in the field since full pilot implementation in June 2022. In 2021, Huawei Norway and Berlevåg Hunting and Fishing Association (BJFF) began working together to develop an automated, AI-powered fish-filtering system to address the issue. As a world first, the solution had to be designed from scratch. Huawei Norway and BJFF developed a fish-recognition algorithm based on tens of thousands of images collected from underwater cameras from late June to September 2021. The algorithm can identify Atlantic salmon and pink salmon with 90% accuracy. In June 2022, the first an AI-powered fish trap was deployed in Storelva river in Norway.
Why we need algorithms to audit algorithms
Conversational AI and Smart Document Understanding
Over the past few months, there has been an increase in the world’s focus on AI. Millions around the world have interacted with OpenAI’s ChatGPT, revolutionizing the way people think about AI in practice. While advances and innovations in natural language AI modeling have met the hype, businesses today are looking for solutions that can be easily customized based on their domain and business priorities with significantly higher accuracy and reliability. In this session we will discuss how IBM meets the unique needs of its clients using AI for customer care. Join our session and learn how AI software like IBM Watson Assistant and IBM Watson Discovery can help take your customer experience to the next level, leveraging conversational AI, intelligent document understanding, and Speech transcription and analysis capabilities designed to meet your business needs.
Speaker Bios
Manish Sampat, Worldwide Sales Lead Customer Care / Watson / AI
Manish Sampat is the Worldwide Sales Leader for Customer Care and IBM Watson. In this role, Manish is responsible for driving and supporting our Customer Care and Watson practices worldwide. Manish works with customers and partners to identify and develop use cases, support local teams to drive customer success, and enable our customers, partners, and local teams on new product features / capabilities. He works with our teams on deal support and engages with local teams to ensure client success and satisfaction.
Manish joined Watson in 2015 and has served a variety of roles. Manish was a Strategic Partnership executive who delivered valuable solutions to our ISV partners using Watson AI and ML. He managed partnerships with key clients such as H&R Block, VMWare, BMC, Siemens, HCL and DXC among others. Manish also led and delivered Cognitive Value Assessments to clients. In these engagements, Manish led Design Thinking workshops to identify and prioritize use cases, built a business case and roadmap for execution. In addition, Manish worked with architects to deliver Proof of Concept of the solution.
Prior to Watson, Manish managed IBM’s Client Experience and Global Innovation Programs, which includes Innovation Discovery workshops, a program sponsored by IBM’s Chief Executive Officer. He was responsible for all aspects workshop and client experience interaction which includes working closely with senior executives to create collaborative, creative events that uncover new opportunities to innovate business models, operations, products and services.
Manish spent over ten years of his career in IBM Consulting and led engagements focusing on strategic planning, financial analyses, and business process improvement. Manish worked primarily with Consumer Packaged Goods clients but also worked in Retail, Travel & Transportation, Industrial Products, Specialty Chemicals, Petroleum and Telecommunications industries. Manish also served as the Global Value Realization leader, Consumer Products Leader for IBM’s Institute of Business Value and the Consumer Products & Retail Component Business Model (CBM) subject matter expert while in IBM Consulting.
Manish has over 25 years of experience in business development, consulting and accounting. Manish has a MBA / JD with honors from Indiana University and is a Certified Public Accountant.
