Philippe Nieuwbourg

Trainer and Speaker: Digital Worlds (Metaverse) and Data

speaker-picture

Data Strategist - Data Science, IoT, Big Data, Quantum Computing, Algorithmic Economy: Analyst, Researcher, Lecturer

Prices

  • On demand

Localization

Paris, France

Languages

French, English

His conferences

Conference #1

Metaverse: Issues, Technologies, and Action Plan

Virtual worlds have existed for a long time in science fiction literature and in the imagination of screenwriters. But they are also already present in certain industrial sectors such as the automotive industry, banking, or retail – this is what we call digital twins. Facebook, by renaming itself Meta, has spotlighted the emergence of virtual worlds open to the general public. Whether for professionals or the general public, these metaverses will combine technologies such as augmented reality, as well as NFTs and cryptocurrencies. Many of us start our day by connecting to the Internet. In a few years, we will identify ourselves in the morning in our metaverse to begin our day. What are the opportunities for businesses in these new spaces? What technologies will emerge to manage these worlds and their access? Who will be the key players, what are the risks, and what are the legal and ethical keys? - Understand the stakes of digital worlds (metaverses) for businesses. They will soon be a testing ground for brands looking to test products and services at a lower cost before developing them in the real world. - Discover the so-called "digital twin" applications, which allow for duplicating the real world in a digital environment to minimize the costs of developing new products. - Understand what technological building blocks to assemble to enter these digital worlds and connect them to the information system. - Discover the first case studies in various economic sectors and the opportunities associated with them. - Know the skills and profiles to develop in the coming years to implement these experiments, and the project methods to apply to limit risks and detect opportunities.

Conference #2

Understanding the Likely Applications of Quantum Computing

Quantum computing and its applications could help us solve problems that have so far been beyond the reach of traditional computers. With these developing technologies, we are transitioning from fundamental research to applied research. The priority sectors will include transportation, finance, energy, defense, and health. This quantum computing would allow us to simulate worlds that are currently too complex for our existing computers. For a company, now is the time to lay the groundwork: understand the subject, understand its applications, imagine scenarios to prototype, know the current suppliers, establish strategic monitoring, and define a training plan and action plan. I propose to explore these topics through a workshop or a conference, with the deliverable being a monitoring plan, training plan, and proof of concept for the coming years. You are not a physicist or mathematician, and neither am I! And that is what will allow us to move away from technical jargon to focus on concrete applications in your industry.

Conference #3

Embrace The Opportunities Of The Algorithmic Economy

Look at your washing machine! It’s the dawn of the algorithmic revolution. You don’t care about temperature, number of rinses and spin speed. You just put your dirty clothes and it works! Our entire world will tomorrow run like your washing machine. During the industrial revolution, we automatized manual work. We replaced craftsmen by assembly lines; and today, robots are helping or replacing humans in many factories. Algorithms are the robots of the information era. Accountants, lawyers, traders, doctors, salesmen, information workers and even perhaps programmers will be helped, or replaced by algorithms. After the Data Driven Economy, Internet of Things, and Industry 4.0 will generate more and more data. Connected objects will generate data, and algorithms will be the key to create value from these Geopbytes of data. The future will not be managed by data scientists, but by algorithms scientists, who will transform data into previsions and actions. How to transform your organization and these opportunities into dollars, that is the question. The Algorithmic Economy will bring new business models. As a manager of a traditional company, you need to embrace this evolution, right now, or you will be "algorithmed".

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