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DASSAULT FAMILY OFFICE

 * Home
 * AI life assistant
 * AI wealth manager
 * AI Big Data Model
 * Contact
 * …  
   * Home
   * AI life assistant
   * AI wealth manager
   * AI Big Data Model
   * Contact




DASSAULT FAMILY OFFICE

 * Home
 * AI life assistant
 * AI wealth manager
 * AI Big Data Model
 * Contact
 * …  
   * Home
   * AI life assistant
   * AI wealth manager
   * AI Big Data Model
   * Contact





 * WELCOME TO DASSAULT FAMILY OFFICE
   
   Where cutting-edge AI meets personalized care and wealth management.
   
   Contact Us

 * Dassault Office Vision
   
   Dassault Family Office’s vision is to be a leading family office that creates
   long-term value and well-being for family members and society by focusing on
   innovation and sustainable development. The following is a description of the
   vision of the Dassault Family Office:
   
    
   
   Family value inheritance and management: We are committed to inheriting and
   managing the core values of the Dassault family, including innovation,
   responsibility, integrity and cooperation. By establishing a good family
   governance structure and culture, we ensure cooperation and win-win results
   among family members and achieve sustainable inheritance of family wealth.
   
    
   
   Long-term value investment and innovation: We pursue long-term value
   investment and innovation, focus on managing family assets in a stable
   manner, and actively explore new investment opportunities and business areas.
   Through continuous innovation and progress, we will create greater economic
   and social value for family members and society.
   
    
   
   Social Responsibility and Sustainable Development: We assume social
   responsibilities, actively participate in social welfare undertakings and
   sustainable development projects, and promote social harmony and stability.
   We are committed to protecting the environment, caring for our employees,
   supporting education and medical care, and making positive contributions to
   society.
   
    
   
   Global vision and partnerships: We have a global vision and strategic vision,
   and are committed to establishing extensive partnerships and international
   business networks. By cooperating with outstanding companies and
   institutions, we achieve resource sharing and mutual benefit, and jointly
   promote the development of the family and society.
   
    
   
   Personal growth and happy life of family members: We value the personal
   growth and happy life of family members, provide them with a good learning
   and development environment, and encourage them to actively participate in
   social activities and public welfare undertakings to realize their own values
   and dreams.
   
    
   
   To sum up, the vision of the Dassault Family Office is to achieve sustainable
   development of family wealth through innovation, responsibility and
   cooperation, create long-term value and well-being for family members and
   society, and become an admirable family office and socially responsible
   enterprise.


 * BASIC CONCEPTS AND PRINCIPLES OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGY
   
    
   
   Artificial intelligence (AI) technology is a computer system that simulates
   human intelligence and is designed to perform tasks similar to human thinking
   and decision-making. Its basic principles include machine learning, deep
   learning and natural language processing. Here is a brief introduction to
   these concepts and principles:
   
    
   
   
   MACHINE LEARNING:
   
   Machine learning is an AI technology that improves the performance of
   computer systems by allowing them to learn and extract patterns from data.
   The basic idea is to analyze data through algorithms and models, identify
   patterns and regularities, and make predictions or decisions based on the
   learned knowledge. Common machine learning methods include supervised
   learning, unsupervised learning, and reinforcement learning.
   
    
   
   
   DEEP LEARNING:
   
   Deep learning is a special form of machine learning, the core of which is
   artificial neural networks. Deep learning models consist of multiple layers
   of neural networks, each layer learning features of the input data to
   generate an output. Deep learning models can automatically extract and learn
   complex features in data and train on large-scale data sets to achieve
   high-performance pattern recognition and prediction capabilities.
   
    
   
   
   NATURAL LANGUAGE PROCESSING:
   
   Natural language processing (NLP) is the field that studies the interaction
   between computers and human natural language. NLP technology includes text
   analysis, speech recognition, semantic understanding and other aspects,
   aiming to enable computers to understand, generate and process natural
   language. Applications of NLP technology include machine translation,
   intelligent assistants, sentiment analysis, etc.
   
    
   
   
   THE PROCESS OF AI TECHNOLOGY IMITATING HUMAN COGNITIVE ABILITIES TO ACHIEVE
   TASKS SUCH AS DATA ANALYSIS, PATTERN RECOGNITION, AND DECISION-MAKING
   REASONING CAN BE SUMMARIZED AS THE FOLLOWING STEPS:
   
    
   
   Data collection and preprocessing: AI systems collect and organize large
   amounts of data to provide a basis for subsequent analysis and learning.
   
   Feature extraction and learning: AI systems use machine learning or deep
   learning algorithms to extract features from data and learn patterns and
   rules.
   
   Model training and optimization: The AI system adjusts model parameters and
   structure based on learned knowledge to improve the accuracy and efficiency
   of prediction or decision-making.
   
    
   
   Inference and application: AI systems use learned models to infer and apply
   new data to achieve various tasks, such as data classification, predictive
   analysis, intelligent recommendations, etc.
   
    
   
   Through these steps, AI technology can imitate human cognitive abilities and
   achieve complex tasks such as data analysis, pattern recognition, and
   decision-making reasoning, bringing huge value and impact to human society.


 * EXPLORE THE TECHNICAL APPLICATION AND FUTURE DEVELOPMENT OF AI IN THE MEDICAL
   FIELD
   
   IN TODAY'S DIGITAL ERA, THE APPLICATION OF ARTIFICIAL INTELLIGENCE (AI)
   TECHNOLOGY IN THE MEDICAL FIELD HAS BECOME A REALITY, BRINGING REVOLUTIONARY
   CHANGES TO MEDICAL DIAGNOSIS, TREATMENT AND HEALTH MANAGEMENT. THIS ARTICLE
   WILL EXPLORE THE TECHNICAL APPLICATION OF AI IN THE MEDICAL FIELD AND LOOK
   FORWARD TO FUTURE DEVELOPMENT TRENDS.
   
   
   MEDICAL IMAGING DIAGNOSIS
   
   Traditional medical imaging diagnosis relies on the doctor's experience and
   intuition, which suffers from subjectivity and high misdiagnosis rate.
   
    
   
   AI technology can automatically identify and analyze medical images through
   deep learning algorithms and big data analysis, improving diagnostic accuracy
   and efficiency.
   
    
   
   For example, medical imaging diagnosis systems based on deep learning have
   made remarkable achievements in tumor detection and diagnosis of cardiac
   lesions.
   
   
   INTELLIGENT CLINICAL DECISION SUPPORT
   
   Clinicians face tremendous decision-making pressure and information asymmetry
   challenges, and need to develop treatment plans quickly and accurately.
   
    
   
   AI technology can provide doctors with personalized clinical decision support
   by analyzing clinical data, medical record information and medical
   literature.
   
    
   
   For example, an intelligent clinical decision support system can provide
   doctors with the best treatment suggestions and prognosis assessment based on
   the patient's condition and medical history.
   
   
   BREAKTHROUGHS IN DRUG DEVELOPMENT AND PERSONALIZED TREATMENTS
   
   The traditional drug development process is time-consuming and
   labor-intensive, has a low success rate, and requires a large number of
   clinical trials and data verification.
   
   AI technology can accelerate the development and screening process of new
   drugs by simulating and predicting the structure and mechanism of drug
   molecules.
   
   Personalized treatment can also be achieved through AI technology to develop
   personalized treatment plans based on the patient's genome and biomarkers.
   
   
   BREAKTHROUGHS IN DRUG DEVELOPMENT AND PERSONALIZED TREATMENTS
   
   The traditional drug development process is time-consuming and
   labor-intensive, has a low success rate, and requires a large number of
   clinical trials and data verification.
   
   AI technology can accelerate the development and screening process of new
   drugs by simulating and predicting the structure and mechanism of drug
   molecules.
   
   Personalized treatment can also be achieved through AI technology to develop
   personalized treatment plans based on the patient's genome and biomarkers.
   
   
   INNOVATIONS IN HEALTH MANAGEMENT AND PREVENTIVE CARE
   
   AI technology can analyze personal health data and living habits to achieve
   health risk assessment and personalized health management.
   
    
   
   For example, smart health monitoring devices and applications can monitor
   users' health data and provide personalized health recommendations and
   warnings.
   
   IN THE FUTURE, WITH THE CONTINUOUS DEVELOPMENT AND APPLICATION OF AI
   TECHNOLOGY, WE CAN EXPECT MORE INNOVATIONS AND BREAKTHROUGHS IN THE MEDICAL
   FIELD. HOWEVER, WE ALSO NEED TO FACE THE ETHICAL, LEGAL AND PRIVACY
   CHALLENGES IN THE APPLICATION OF AI TECHNOLOGY IN THE MEDICAL FIELD, JOINTLY
   EXPLORE THE DEVELOPMENT PATH OF AI TECHNOLOGY, AND ACHIEVE CONTINUOUS
   PROGRESS AND IMPROVEMENT IN THE MEDICAL AND HEALTH FIELD.
   
   THROUGH A BRIEF UNDERSTANDING, WE CAN BETTER UNDERSTAND THE TECHNICAL
   APPLICATION OF AI IN THE MEDICAL FIELD, AS WELL AS ITS SIGNIFICANCE AND
   POTENTIAL IMPACT ON FUTURE MEDICAL HEALTH.


 * CASE STUDIES AND SUCCESS STORIES
   
   
   GOOGLE DEEPMIND’S ALPHAFOLD
   
   
   
   AlphaFold is a deep learning model developed by Google's DeepMind team and is
   specifically used to predict the structure of proteins. In the 2018 CASP13
   competition, AlphaFold performed well and won the competition by predicting
   protein structure accuracy close to the experimental level. This breakthrough
   means that AI technology has great potential in drug development and
   treatment, and can accelerate the development of new drugs and the
   realization of personalized treatment.
   
   
   IBM WATSON’S MEDICAL IMAGING DIAGNOSIS
   
   
   
   IBM Watson is an intelligent medical assistant that uses deep learning
   algorithms to analyze medical imaging data and assist doctors in making
   diagnosis and treatment decisions. In a 2017 study, IBM Watson successfully
   diagnosed a rare type of cancer in a Japanese woman. This case demonstrated
   the breakthrough application of AI technology in medical imaging diagnosis.
   
   
   PERSONALIZED CANCER TREATMENT AT TEMPUS
   
   
   
   Tempus is a company focused on personalized medicine, using big data and
   machine learning algorithms to analyze the genomic and clinical data of
   cancer patients to provide doctors with personalized treatment plans. In one
   study, Tempus successfully predicted a breast cancer patient's response to a
   specific drug, providing the patient with a more effective treatment plan.
   
   
   AUTOMATIC FUNDUS LESION DIAGNOSIS WITH IDX-DR
   
   
   
   IDx-DR is an automatic fundus lesion diagnosis system driven by AI technology
   that can automatically identify diabetic retinopathy in eye clinics. The
   system performed well in clinical trials, with diagnostic results consistent
   up to 90% with those of professional ophthalmologists, and was approved for
   marketing by the U.S. Food and Drug Administration (FDA).

 * ABOUT US
   
   MEET OUR SENIOR MANAGEMENT
   
   
   CREATING THE FUTURE
   
    
   
   Executive Chairman
   
    
   
   Bernard Charlès positions Dassault Systèmes, the global leader in virtual
   worlds, as a preferred innovation partner. Inspired by digital models,
   product lifecycle management and 3D EXPERIENCE, Charlès firmly believes that
   virtual technology is about connecting imagination and science.
   
   
   PASCAL DALOZ
   
   
    
   
   CEO
   
    
   
   With his ability to identify future trends and bring together the most
   creative minds, Pascal Daloz made an important contribution to Dassault
   Systèmes' policy of opening up new areas, especially in life sciences and
   healthcare. He uses a multidisciplinary approach to drive company growth and
   take full advantage of the platform economy.
   
   
   JULIA MARIE CAGNO
   
    
   
   Dassault Office--Deputy CEO
   
    
   
   Julia Marie Cagno is a professional with outstanding insight and leadership
   skills. Her expertise covers AI technology, real estate and digital assets.
   As a leader with rich experience and unique insights in these fields, she is
   committed to applying the latest technologies and innovations to the real
   estate industry, promoting digital transformation, and achieving continued
   development and innovation in the industry.
   
   
   LAURENCE BARTHÈS
   
   
    
   
   Executive Vice President, Chief People & Information Officer
   
    
   
   Laurence has leveraged the extensive capabilities of the 3DEXPERIENCE®
   platform to completely transform Dassault Systèmes’ human resources model and
   approach. This includes deployment of 3DSWYM (See What You Mean), Dassault
   Systèmes’ social enterprise and collaborative innovation platform, which
   allows all of the company’s 22,500 employees – whatever their role – to
   innovate through communities formed around interests, projects or areas of
   expertise.
   
   
   PHILIPPE LAUFER
   
   
    
   
   Executive Vice President, 3DS Global Brands
   
    
   
   Philippe joined Dassault Systèmes in 1985 as a member of the CATIA R&D
   department, focusing on design and manufacturing. After two years in Seattle
   laying the groundwork for the Boeing 777 program, Philippe managed Dassault
   Systèmes’ Automotive Competence Center, making our solutions the industry
   standard. In 1996, he became Head of R&D in the area of Shape Design and
   Styling at CATIA, using his expertise to drive Dassault Systèmes solutions to
   become the undisputed leader.
   
   
   FLORENCE HU‑AUBIGNY
   
    
   
   Executive Vice President, Research & Development
   
    
   
   Florence Hu-Aubigny has been a member of the Research & Development
   management team at Dassault Systèmes, the global leader in virtual worlds,
   for 30 years. During this time, she has designed and managed the company's
   key technological developments, driven notably by the advent of 3D modeling
   and the internet. These two turning points in technology constitute the
   fundamental contribution of 3D to innovation and productivity, as well as to
   the creativity of both organizations and individuals.
   
   
   HELEN JOSEPH
   
    
   
   Board Member-Project Investment Director 
   
   Experienced project investment director, skilled in identifying and managing
   high-yield investment opportunities. Looking to continue to contribute my
   expertise and leadership at the family office and board level.
   
   High sense of responsibility and professional ethics. Excellent
   communication. Interpersonal skills. Strong analytical and problem-solving
   skills. Good at teamwork and leadership


 * MEET OUR STRATEGIC ADVISORS AND PARTNERS
   
   LET YOU MAKE THE MOST SUCCESSFUL DECISION WITH PROFESSIONALS
   
   STEVE COHEN - DASSAULT FAMILY OFFICE - STRATEGIC CONSULTANT
   
   Steve Cohen is a prominent American hedge fund manager, best known for owning
   the New York Mets baseball team and the founder of Point72 Asset Management.
   He is also a recognized art collector with a collection valued at
   approximately $1 billion.
   
   STEPHEN ROSS--DASSAULT FAMILY REAL ESTATE--STRATEGIC CONSULTANT
   
   Stephen Michael Ross is an American real estate developer, philanthropist,
   and sports team owner.
   
   JAMIE DIMON--DASSAULT OFFICE--PROJECT PARTNER
   
   James Dimon is an American banker and businessman who has served as Chairman
   and Chief Executive Officer (CEO) of JPMorgan Chase since 2006.
   
   JEN-HSUN HUANG--DASSAULT FAMILY OFFICE--AI SUPER PARTNER
   
   One of the 100 most influential people in the world in 2021, the British
   "Economist" magazine's Best CEO in 2023, No. 26 on the Hurun Global Rich List
   in 2024, and No. 20 on the 2024 Forbes Global Billionaires List. NVIDIA CEO
   
   




Home

 

Intro

 

Dassault Office Vision

 

Basic concepts and principles of artificial intelligence (AI) technology

 

Explore the technical application and future development of AI in the medical
field

 

Case studies and success stories

 

About Us

 

Meet our strategic advisors and partners

AI life assistant

 

AI Smart Life Assistant

 

AI Life Assistant

 

The future development of AI life assistant

AI Butler

 

AI wealth manager

 

Introduction to AI Wealth Manager

 

Customer's message

 

Security and Privacy Measures

 

 



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