Ml Academy
Information Technology And Services, 1401 Willow Pass Rd, Paris, California, 94520, United States, 1-10 Employees
Phone Number: +19*********
Who is ML-ACADEMY
Nous avons le plaisir dameliorer significativement les performances marketing et commerciales des entreprises avec lesquelles nous travaillons. Comment ? Nous implementons des solutions d...
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Headquarters: 1401 Willow Pass Rd, Paris, California, 94520, United States
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Date Founded: 2019
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Employees: 1-10
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Revenue: $25 Million to $50 Million
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Active Tech Stack: See technologies
Industry: Information Technology and Services
SIC Code: 1542
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NAICS Code: 524210 |
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Frequently Asked Questions Regarding ML-Academy
Answer: ML-Academy's headquarters are located at 1401 Willow Pass Rd, Paris, California, 94520, United States
Answer: ML-Academy's phone number is +19*********
Answer: ML-Academy's official website is https://ml-academy.org
Answer: ML-Academy's revenue is $25 Million to $50 Million
Answer: ML-Academy's SIC: 1542
Answer: ML-Academy's NAICS: 524210
Answer: ML-Academy has 1-10 employees
Answer: ML-Academy is in Information Technology and Services
Answer: ML-Academy contact info: Phone number: +19********* Website: https://ml-academy.org
Answer: Nous avons le plaisir dameliorer significativement les performances marketing et commerciales des entreprises avec lesquelles nous travaillons. Comment ? Nous implementons des solutions de Marketing Automation et dIntelligence Artificielle qui utilisent les donnees pour creer des experiences clients omnicanales personnalisees. Nos specificites : Plus simple : accessible a tous sans competences specifiques Mieux accompagne : pour que les equipes restent concentrees sur le business Plus vite : mise en oeuvre en deux semaines, premiers resultats en deux mois. Plus responsable : respect stricte du RGPD, transparence des algorithmes dapprentissage machine. Pourquoi ? Les entreprises utilisent souvent mal leurs donnees, elles laissent echapper des revenus ! Elles se focalisent sur laspect technologique . Mais la reussite dun projet data repose avant tout sur ladoption du sujet par les utilisateurs metiers : comprehension fine de leurs enjeux, acculturation progressive aux donnees, outils attractifs, possibilite de tester simplement de nouvelles idees, etc.
Answer:
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