#data science platform

The Global Data Science Platform Market Report is a comprehensive report on the Data Science Platform market, offering key insights on business strategies, current trends, and presenting qualitative and quantitative analysis of the Data Science Platform market. This report offers in-depth research insights on key and significant aspects of the Data Science Platform market, providing an in-depth analysis of key drivers, restraints, restraints, growth prospects, threats, and risks. The report also includes an in-depth analysis of the competitive landscape and regional scope of the Data Science Platform market.

The global Data Science Platform market report employs an extremely extensive and perceptive process that analyzes statistical data relating to services and products offered in the market. The research study is a pivotal document in understanding the needs and wants of the clients. The report is comprised of significant data about the leading companies and their marketing strategies. The Data Science Platform industry is witnessing an expansion and change of dynamics owing to the entry of several new players.

The study outlines the rapidly evolving and growing market segments along with valuable insights into each element of the industry. The industry has witnessed the entry of several new players, and the report aims to deliver insightful information about their transition and growth in the market. Mergers, acquisitions, partnerships, agreements, product launches, and joint ventures are all outlined in the report.

Key Companies Profiled in the Report are

Data Science Platform Market, Till 2035: Distribution by Type of Component (Platform and Service), Type of Deployment (Cloud and On-premises), Type of Application (Business Operation, Customer Support, Finance & Accounting, Logistics, Marketing, and Others), Type of Vertical (BFSI, Energy Utilities, Government, Healthcare, IT & Telecom, Manufacturing, Retail, and Others).

The research report offers a comprehensive regional analysis of the market with regards to production and consumption patterns, import/export, market size and share in terms of volume and value, supply and demand dynamics, and presence of prominent players in each market. 

Regional Analysis Covers:

North America (U.S., Canada)

Europe (U.K., Italy, Germany, France, Rest of EU)

Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)

Latin America (Chile, Brazil, Argentina, Rest of Latin America)

Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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L’école AI has secured $3 million in seed funding from Sofinnova Partners for its ÉO "machine teaching" technology, aimed at simplifying complex deep-learning systems for computer vision. The funding will support the development of the technology, making it accessible to medical professionals and researchers, allowing them to create customized AI systems tailored to their expertise. The investment will also facilitate team expansion, product development acceleration, and business efforts. Notable business angels, including Preston-Werner Ventures, participated in the funding round. The AI interface by L'école AI is designed to democratize machine learning and support secure collaboration among organizations. The founders, including Louis-Alexandre Etezad-Heydari, Jonathan Alexander Brown, and Kim Nilsson, intend to begin with a focus on healthcare and life sciences to make an immediate positive impact. Several AI pioneers, such as Clément Farabet and Nicolas Pinto, are among L’école AI's investors. Sofinnova Partners, a leading European venture capital firm specializing in life sciences, has provided over 50 years of experience in backing more than 500 companies worldwide, with €2.5 billion under management.