Innovation

In a significant shift in its technological strategy, McDonald’s has officially announced the termination of its AI-driven drive-thru ordering system , a project in collaboration with IBM started in 2021. McDonald’s “told franchisees that it’s winding down an AI drive-thru ordering partnership with IBM no later than July 26th, 2024,” McDonald’s stated. This decision will lead to the removal of the technology from over 100 restaurants where the system was being tested. McDonald’s, in its official statement, did not clarify the decision process or metrics used to stop the initiative. It did not even comment on the fact that it was a failure, or a partial success. But consumers tell a different story.

On June 20th, 2024, we had the privilege of participating in a event organized by Healthcare Dialog, a renowned association focused on the future of medical, pharmaceutical, and biotech industries. Held at the prestigious Victoria House in Shanghai, the event brought together top minds in healthcare to explore the transformative potential of generative AI.

Microsoft AI & IoT Insider Lab is a hub of innovation, dedicated to exploring the frontiers of technology and its potential applications. The lab is a testament to Microsoft commitment to pushing the boundaries of what is possible, and to fostering a culture of innovation and collaboration.

On April 17th, the Noveastern Venture Day project concluded successfully in Zhangjiang, Shanghai. This edition of Venture Day was hosted through a collaboration of Noveastern (a trademark under Novares Group) and XNode. It marks the fifth Venture Day organized by Novares Group and the very first one held in China, aimed at further integrating Noveastern into the Chinese innovation ecosystem, advancing its strategic goal of becoming a leader in the development of new energy vehicles in China.

We recently participated in the 4-day trade show InnoEx in Hong Kong in April 2024, organized by HKTDC. The company was part of the booth So French So Innovative, organized by Business France and la French Tech. The event brought together many interesting start-ups and large companies, including Commett, Simfinity, Thales, Bouygues, and Saint Gobain.

Yesterday, La Ruche hosted an insightful training session aimed at introducing new users to the concepts of Generative Pretrained Transformer (GPT) and prompt engineering. The session, conducted in French, was led by the knowledgeable trainer, Guillaume.

Shanghai, March 21, 2024 - The rise of Generative AI in the Fourth Industrial Revolution presents both risks and opportunities for professionals and corporates. ESSEC keynote recently hosted an enlightening session on this topic, featuring two renowned experts in the field, Stephane Monsallier and Ashley Recanati.

On March 22nd, the Shanghai Center was buzzing with excitement as it hosted an AI training event for Jade Invest. The event, which was organized in collaboration with Swedcham, saw a total of 10 participants eager to delve into the world of AI engineering.

In the rapidly evolving world of artificial intelligence (AI), one particular subset has emerged as a game-changer: generative AI. This technology, which includes LLM models like GPT, has the potential to revolutionize industries across the board, from healthcare to finance, and from education to entertainment. However, like any powerful tool, it can be used for both good and bad. In this blog post, we will delve into the intricacies of how users can make AI do what they want, and the risks associated with this capability.

Generative AI, also known as GenAI that can create new content or predictions based on given data, has been a revolutionary concept in the technology world. However, despite its potential to transform business processes, many companies are reluctant to fully embrace it. This reluctance stems from a variety of concerns and barriers, as revealed by research conducted by IBM, Forrester, BCG, and O’Reilly.

Just recently, we shared an insightful article on the potential pitfalls of choosing the wrong company for integrating Generative Pre-trained Transformer (GPT) . As powerful as this technology can be, it is not devoid of risks and challenges, especially when not properly integrated. Today, we delve deeper into this topic, examining new cases that have come to the surface and further emphasizing the importance of an experienced partner for GPT integration.

As the world leans heavily into digital transformation, one cannot overlook the significant role Artificial Intelligence (AI) plays in this shift. Specifically, the concept of Generative AI has been a game-changer in various sectors, notably in the business landscape. In this post, we delve into the concept of the Generative AI Value Stack, a four-layered system that efficiently incorporates AI into your business.

In the digital era, artificial intelligence (AI) has become a crucial part of our businesses, transforming the way we work, think, and act. One of the most vibrant branches of AI is Generative AI, which has the potential to create new data from existing ones. However, with great power comes great responsibility. Ensuring proper governance, compliance, and ethics when using Generative AI is paramount. This blog will delve into some of the most crucial policies your organization should implement when dealing with Generative AI.

Artificial Intelligence (AI) has made remarkable strides in the past year, with generative AI standing as one of the most intriguing developments. However, as promising as this technology is, it’s not without its risks. Companies considering the adoption of generative AI should first understand these potential pitfalls.

Introduction PowerPoint presentations (PPTs) are critical tools, often serving as the backbone of effective storytelling and persuasion. However, crafting an engaging, well-structured PPT is not a walk in the park. Enter Generative Pretrained Transformer (GPT), an artificial intelligence model developed by OpenAI that has the potential to revolutionize the way we create presentations.

In recent months, language models like GPT have revolutionized natural language processing, becoming a staple in business conversations. These models can generate text so coherent it often mirrors human writing. However, new technologies also bring potential risks and pitfalls.

As we continue to navigate the dynamic landscape of business productivity, it becomes increasingly crucial for large corporations to equip themselves with the right tools and technology. One such tool that has been the talk of the town in recent years is Language Model Learning (LLM). While LLMs offer an array of benefits, they also have certain limitations that may hinder productivity in larger corporate settings.

In the vast and ever-evolving landscape of coding and software development, there is a continual search for tools and resources that can streamline processes, increase efficiency, and enhance productivity. The Generative Pre-training Transformer (GPT) has emerged as a revolutionary asset for coders and developers.

Artificial Intelligence (AI) has become a game-changer in today’s digital landscape, with its ability to perform complex tasks swiftly and accurately. One such AI-driven function is the Generative Pre-training Transformer (GPT), a language processing AI tool that can generate human-like text. However, implementing GPT integration into your business operations isn’t a walk in the park. Picking the wrong company to handle your GPT integration can lead to a host of undesirable outcomes.

In the era of digital transformation, artificial intelligence (AI) has become an essential tool in the workplace. It is especially prominent in the field of knowledge work, where tasks often involve problem-solving, critical thinking, and complex decision-making. One fascinating application of AI in this context is generative AI, which can create content from scratch, including text, images, music, and more.

The world of business-to-business (B2B) marketing and product design has significantly evolved over the years, with advancements in technology pushing the boundaries of creativity and innovation. One such area that has gained significant attention is image generation. The ability to create compelling, high-quality images using artificial intelligence has become an essential tool for marketers. However, prompting for image generation is not as easy as it seems. This article seeks to shed light on why prompting for image generation is a challenging task.

Generative AI has been making waves in the business world, not just because of its impressive capabilities, but also due to its potential for transforming various industries. As a CEO, it’s crucial to understand this technology’s ins and outs. Here are five things every CEO should know about Generative AI.

Introduction to Generative AI In the ever-evolving landscape of artificial intelligence (AI), generative AI has emerged as a frontier in content creation, including image generation. While this technology has proven to be a game-changer, it’s important to remember that the successful application of generative AI requires the human touch, both at the beginning and at the end of the process.

The rise of AI has opened up new opportunities for knowledge workers across the globe. One such opportunity is Prompt Engineering, a technique used to instruct AI models to perform specific tasks. Understanding Prompt Engineering can empower you as a knowledge worker, especially if you’re part of a multinational company. Here’s why:

AI in China in Spring 2023 In the Spring of 2023, Stephane Monsallier, Founder and CEO of System In Motion, was interviewed by Raphael Seghier for the podcast Sesame Asie. With 30 years of experience in technology, Monsallier discussed the impact of new AI technologies emerging in China since the country reopened its doors.

In order to adapt to the fast growing and ever-changing market environment in China, Pernod Ricard China had taken it upon themselves to be the leader of innovation in their industry. They were one of the first spirits & wine companies to leverage the QR code technology for product traceability to gain in-depth insights into their product distribution channels, achieving great success in their battle against Grey Market Activities ( unauthorized cross regions distributions). And thanks to the possibilities of this technology bring, for the first time in history as a strictly B2B brand, Pernod Ricard China achieved in building direct engagement channels with the end consumers leveraging that technology. System in Motion is proud to be part of that journey.

In the rapidly evolving digital landscape, companies are striving to stay ahead of the curve. Moov, a pioneer in the logistics and supply chain sector, recognizes this necessity and has embarked on a significant digital transformation journey since 2018. As a part of this transition, Moov recently collaborated with us for a comprehensive IT assessment to build a solid IT foundation that aligns with their strategic objectives and future business needs.

System In Motion recently co-hosted a two-day AI training session with long-term partner Pernod Ricard. This training, held on-site at the client’s company from May 21-22, 2024, focused on the fundamentals and advanced practices of generative AI, aiming to enhance participants’ understanding and application capabilities of AI technology.