 L’Oréal’s brand roster, including Lancôme, Giorgio Armani, L’Oréal Paris and Urban Decay.
The tie-up is said to be part of L’Oréal’s digital acceleration strategy.
“L’Oréal Travel Retail Asia Pacific and Lotte Duty Free share the same vision that online augmented reality is becoming key throughout travellers’ journey of product discovery and purchase,” said L’Oréal Travel Retail Asia Pacific’s Managing Director Emmanuel Goulin.
L’Oréal acquired the Canadian tech company in 2018, for an undisclosed amount.
This became a key milestone in the acceleration of the firm’s digital strategy for its brands.
Lotte’s CEO Kap Lee added: “This deepened collaboration with L’Oréal Travel Retail Asia Pacific is extremely relevant for us, as it will allow AR experiences to be used by millions of travellers around the world.
Since its acquisition, ModiFace has teamed up with A.S. Watson, Macy’s, Garnier, Amazon and Facebook.
Lead Data Scientist, R&D in Miami, FL at Royal Caribbean Cruises Ltd.
Royal Caribbean is seeking a seasoned, experienced and inquisitive Data Scientist that will lead our Research & Development initiatives and assimilate new, cutting-edge technologies into our broader Artificial Intelligence and Machine Learning capabilities.
This Data Scientist will focus on architecting, deploying and evaluating the feasibility of emerging technologies within the fields of Data Science, Artificial Intelligence and Machine Learning.
They are expected to work independently and in collaboration with other Data Scientists to explore new capabilities that will continue to keep Royal Caribbean Cruise Lines ahead of its competitors in this space. While research oriented, the success of role will be dependent on the tangible value their efforts and the efforts of the Data Science team will add.
A successful candidate will possess a strong background, either professionally or academically, in statistics, mathematics, artificial intelligence, research methods, experiment design, developing novel solutions beyond the use of well-established methods, and taking new technologies to a prototype state that can be expanded into a robust product.
The candidate should demonstrate a progressive maturation of prior research projects, publications, patents or similar capabilities in the field of applied research.
This individual will be responsible for scripting / programming, mentor-ship, stakeholder presentation, collaboration with other team members to execute a research experiment within the framework of implementing, utilizing and expanding R&D capabilities within the broader Data Science team.
Research and apply emerging forms of statistical, machine learning (neural networks / deep networks, ensemble methods, natural language processing, computer vision) and engineering methods to Royal Caribbean Cruise Lines’ data science and AI ecosystem. Must be comfortable doing so with little or not documentation or reliance on research articles and papers.
Evaluate the progress of Data Scientists, the AI & Robotics team, and company at large on the acclimation of research methods towards the rapid delivery of experimental technologies to a prototype state. Execute these objectives with respect to both purely exploratory en-devours as well as established products requiring novel ingenuity to meet known stakeholder objectives.
Empower and enhance the capabilities of Data Scientists and the AI & Robotics team as whole to properly design R&D explorations, rapidly experiment with, prototype, and demonstrate the viability of in-house research.
Collaborate with Digital, IT, Business stakeholders to design and implement R&D prototypes into broader automated systems and establish a Minimum Viable Product.
5+ years experience with any of the following programming languages: R, Python, Java, C++, C#, Scala, SAS, MATLAB or similar scripting languages. Similar experience and proficiency with SQL required.
Experience with data mining processes (SEMMA, CRISP-DM), data preparation, consolidation, imputation, transformation, interaction, variable reduction, modeling, maintenance, and post-mortem analysis.
Experience with statistical methods such t-test of means, Tukey-HSD tests of means on groups, ANOVA, Proportion tests, data normalization and scaling, univariate and multivariate outlier detection.
Experience with modeling techniques such as linear models, decision trees, neural networks, k-nearest-neighbor, support vector machines, cluster analyses, and ensembling methods.
Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
Demonstrates a strong capacity for learning and assimilating new techniques, tools and methods.
Comfortable with preparing or collaborating on presentation decks as well as delivering final stakeholder presentations as primary or supporting presenter.
Has knowledge and can quickly ramp-up and leverage cloud-based cognitive service APIs such as Microsoft Azure, AWS and/or IBM Watson.
Is passionate about your work, but willing to support several projects at one time and can accept re-prioritization as necessary.Deep-dive into a specific marketing AI topic. Each bundle features 3 - 5 hours of content.
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Become a member of our AI Academy for Marketers. Members receive access to all bundles as they are released, along with our archive of 50+ on-demand courses and webinars.I am so grateful for my awesome clients, friends, and family who have supported me over the years as I have pursued this jewelry business! Oh my goodness! There were times when I was ready to quit but you all came through by encouraging me to press on and pursue my dreams.
I believe in women and their dreams so a portion of every sale goes to help make someone's dream come true.  I love to give to ministries and organizations that encourage women across the globe in their businesses. I have my favorites but if you know of something that you think would be a good fit for EB, please drop me a line and let me know!Chief, just stop. If you’d had a year of decent output on the court under the new ownership like the Nets prior to the Kyrie &amp; KD signing then your take would make sense, but nobody moves teams purely for the new front office lmfao. You had the equal worst winning record in the league from 2012-Bron’s Arrival. 

Seriously, you guys have been great since then and probably just had one of the best off season’s of all time but it all started from a choice LeBron made that had nothing to do with anything the Lakers were doing. All you basically had to be was not-the-ClippersEnjoy from Friday 15 to Sunday 31 October 2021 in the surroundings of "Bungalowpark De Bremerberg". Your children can visit Halloween Fright Nights at Walibi World. You can enjoy the peace and the beautiful autumn colors during the autumn holiday yourself or watch birds in the Oostvaardersplassen or visit the NaturePark Lelystad with the wild boars, beavers, otters and Pater Davids deer.
From 10 October to 1 November 2020, come to Walibi at the most horrific event in Europe! The Most Intense Experience.  More fear, more tension and horribly different from previous years. Experience 20 years of Halloween Fright Nights during this exclusive edition.
Kartcentrum Lelystad was completely renovated and since then it has been able to call itself the most beautiful karting circuit in the Netherlands. It is a kart track of 735 meters long, 7 meters wide and many challenging curves. Outdoor karting is a particularly sensational and intriguing sport.
The new nature islands in the Markermeer are part of the Nieuw Land National Park. Discover this new habitat for plants, insects, fish and birds. A natural paradise where you can enjoy a new beach, new hiking trails and new bird watching spots. Join the ferry service to the Marker Wadden!
On sunny autumn days one can enjoy cycling trips along the Veluwemeer to f.e. Harderwijk or the lovely town of Elburg.AC can be easily stepped up and down to different voltages with a transformer.  DC voltage regulation (especially boosting it up) is significantly more complicated, and until relatively recently it was impossible to do in an efficient and cheap manner.  This makes AC better for long distance transmission, as you can step it up to very high voltages, transmit it with low loss due to the lower current, and then step it back down to go into homes.  So that's why power coming out of your walls is AC.  Heating elements are usually AC simply because it works fine, and you don't have to convert anything.  DC is used in any digital electronics because those electronics communicate by varying voltages, and if your voltage is varying sinusoidally already you can't easily do that