Since its creation, Alcimed has been supporting its clients in leveraging the potential of new technologies, such as artificial intelligence (AI). We help both private and public players, in industries such as healthcare, cosmetics, mobility, agrifood or defence, in their innovation projects, from developing data acquisition strategies and the selection of machine learning providers to preparing the launch of AI-based solutions.
The challenges related to artificial intelligence (AI)
What is artificial intelligence and what is machine learning?
In simple terms, artificial intelligence is referring to the development of software that can perform tasks that typically require human intelligence. Such tasks could be solving complex problems, making decisions, or detecting objects.
Machine learning, a subtype of AI, is a technology which provides software with the capability to learn automatically, to recognize patterns and to improve from experience.
What are the challenges related to artificial intelligence?
Approaches such as AI and machine learning are particularly powerful in areas in which many data points are required for decision making. This is particularly useful in the healthcare field for example, as patient information is typically scattered across numerous healthcare providers, including general practitioners, specialists, hospitals and insurance providers. Its use in other sectors quickly comes to mind as well, such as the development of autonomous cars. Artificial intelligence has a crucial role to play in this type of technology as the vehicle should be able to perceive its environment and take appropriate decisions to ensure safety and efficacy to its passengers. AI technologyhas also been successfully deployed for food applications in activities such as supply chain management, food safety monitoring or for anticipating consumer preferences.
In the last two to three decades, many companies and initiatives started to explore the potential of artificial intelligence. This trend was enabled by two major factors:
- Increased generation and availability of data: In healthcare for example, many national healthcare systems have undertaken efforts to centralize patient data in digital patient records. Due to the improved data quality, AI applications can generate more robust results. Moreover, more medical data is being generated, both via an increasingly broad application of genomic testing in areas such as oncology, and via the growing use of patient-generated medical data via devices such as eHealth smart watches.
- Decreased price of computing power: The constantly decreasing price of computing power enables AI or machine learning applications to mine deeper and deeper data sets and to apply more advanced methods of data science, such as deep learning, to recognize patterns.
Artificial intelligence is therefore applied for many different purposes and in several sectors. Although its use seems to offer limitless possibilities, stakeholders using it and involved in its development are facing numerous key challenges:
How to ensure data quality but also its privacy?
Which data sources are most valuable to use and how can they be accessed? How can internal data fragmentation be overcome?
How can companies and organizations choose the most suitable partner for developing artificial intelligence applications? How can these collaborations be navigated to ensure that they are mutually beneficial?
How do we support you in your artificial intelligence (AI) projects?
Alcimed has supported many clients in projects related to artificial intelligence and machine learning. Overall, our team conducted more than 100 projects for various stakeholders such as industrials in the Food, Automotive, Aeronautics-Space-Defence, and Healthcare sectors (pharmaceutical, biotech and medtech companies), but also for public entities such as hospitals or city governments.
The diversity of our clients, the geographical areas we explore, and the kinds of projects we develop, give us a global and in-depth understanding of the issues encountered in projects based on or requiring artificial intelligence or machine learning.
Our projects cover diverse topics such as the selection of an AI provider for a strategic partnership, the definition of a data acquisition strategy, the identification of AI applications in a given field, a market study for an artificial intelligence solution, the assessment of the potential of artificial intelligence for a specific type of disease, and the organization of learning expeditions in the fields of big data and AI, among others.
The types of projects we carry out for our clients in this field are:
EXAMPLES OF RECENT PROJECTS CARRIED OUT FOR OUR CLIENTS IN THE FIELD OF ARTIFICIAL INTELLIGENCE
Our purpose? Helping both private and public decision-makers explore and develop their uncharted territories: new technologies, new offers, new geographies, possible futures, and new ways to innovate.
Located across eight offices around the world (France, Europe, Singapore and the United States), our team is made up of 220 highly-qualified, multicultural and passionate explorers, with a blended science/technology and business culture.
Our dream? To build a team of 1,000 explorers, to design tomorrow's world hand in hand with our clients.
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