While data was the black gold of the early 21st century for many organizations, its exploitation has really taken off with the widespread use of artificial intelligence technologies based on machine learning and deep learning, and thanks to high-performance computing infrastructures.

Data science and AI now affect all sectors of the economy, and no player can remain competitive without investing in this area, which is now driving the digital transformation.

AI for Business today: examples of sectors’ applications

All sectors now need AI to boost their competitivity and thrive. The following examples are just a glimpse of the almost unlimited possibilities that AI offers us. Within HI PARIS, the interaction between corporate partners, students, researchers, and policymakers will break down traditional barriers that impede effectively harnessing technologies to generate scientific breakthroughs leading to economic and societal value.

The web Major for whom data is flowing freely, are instilling AI at the heart of their services, as well as in their intelligent agents and recommendation engines. Developing ever-greater proximity and even smoother interactions with customers is their line of conduct.

Finance, where data has long been central, has taken the lead and FinTech is thriving. This sector, which is sensitive to the slightest fluctuation, must also develop cyber security solutions to protect its exchanges and fight against external manipulation

Industry 4.0. with its sensors and robots, will further optimize productivity and develop the predictive approach to anticipate breakdowns and malfunctions. The machines will become even more autonomous and will communicate with each other to improve their performance.

The automotive industry is concentrating a lot of efforts on the autonomous vehicle which, alone, poses many data-related challenges: safety and reliability, image processing, language processing, computer-driver interaction, etc.

At a glimpse, we will tackle AI and Data for…

Work

Future of work, Digital transformation, Marketing Analytics, New business models and digital entrepreneurship, Job Search analytics…

Organizations

New organizational forms, networks, market structures…

Finance

Access to credit, FinTech, cryptocurrency, asset management, economics of information…

Marketing

Ad targeting, predictive customer service, dynamic pricing, cross selling…