filmov
tv
Webinar - Outsourcing Innovation in Data Science - BGFi
Показать описание
Speakers:
Benjamin Cohen - PhD in AI & Robotics, AI and Big Data Researcher at BGFi France
Introduction: 00:00 - 04:21
Innovation: 04:22 - 13:12
Age of Data: 13:13 - 20:34
How to innovate?: 20:35 - 28:17
Our approach: 28:18 - 32:36
Concrete Cases: 32:37 - 37:59
For more than 10 years now we have been flooded with an increasing number of data related buzzwords: Machine Learning, Deep Learning, Artificial Intelligence, Blockchain, Cloud & Edge Computing… They are everywhere. Finally, all of these concepts are gathered under the wide discipline named Data Science. It calls for a variety of skills linked to cutting-edge technologies to discover and understand complex trends and behaviours of a wide range of data. The objective for companies? To make more relevant and creative decisions to keep generating value, always more value.
With this discipline came a new profile: the Data Scientist. It requires specific skills that are hard to find on the market, slowing down the democratization of innovation projects through data in most companies. Moreover, not all companies that wish to do Data Science always have the structure, experience or teams needed to initiate such a project.
BGFi Analytics is investing in the creation of an independent innovation department enabling organizations to outsource their Data Science innovation projects. Our objective is to provide them our experience, infrastructure and methodology to enable all types of organizations to take full advantage of the data they have access to. Through this new approach, we realize your desire for innovation while respecting your privacy requirements.
Attend to this webinar led by Benjamin Cohen-Lhyver, PhD in AI & Robotics, to discuss the need to innovate to keep a competitive advantage, we will explain the advantages of outsourcing innovation activities and the collaboration/co-creation processes that we have formulated.
Benjamin Cohen - PhD in AI & Robotics, AI and Big Data Researcher at BGFi France
Introduction: 00:00 - 04:21
Innovation: 04:22 - 13:12
Age of Data: 13:13 - 20:34
How to innovate?: 20:35 - 28:17
Our approach: 28:18 - 32:36
Concrete Cases: 32:37 - 37:59
For more than 10 years now we have been flooded with an increasing number of data related buzzwords: Machine Learning, Deep Learning, Artificial Intelligence, Blockchain, Cloud & Edge Computing… They are everywhere. Finally, all of these concepts are gathered under the wide discipline named Data Science. It calls for a variety of skills linked to cutting-edge technologies to discover and understand complex trends and behaviours of a wide range of data. The objective for companies? To make more relevant and creative decisions to keep generating value, always more value.
With this discipline came a new profile: the Data Scientist. It requires specific skills that are hard to find on the market, slowing down the democratization of innovation projects through data in most companies. Moreover, not all companies that wish to do Data Science always have the structure, experience or teams needed to initiate such a project.
BGFi Analytics is investing in the creation of an independent innovation department enabling organizations to outsource their Data Science innovation projects. Our objective is to provide them our experience, infrastructure and methodology to enable all types of organizations to take full advantage of the data they have access to. Through this new approach, we realize your desire for innovation while respecting your privacy requirements.
Attend to this webinar led by Benjamin Cohen-Lhyver, PhD in AI & Robotics, to discuss the need to innovate to keep a competitive advantage, we will explain the advantages of outsourcing innovation activities and the collaboration/co-creation processes that we have formulated.