Artificial Intelligence & Machine Learning
Amyx+ helps Fortune 500 enterprises and game-changing startups with wearables & IoT strategy, innovation, data analytics and product development. We have worked with leading blue chip companies and growth-stage startups across wearables, healthcare, consumer electronics, retail, apparel and footwear, luxury, fitness, advertising and major industries to help sharpen their wearables & IoT strategies.
Case Study 1: Machine Learning-Driven Data Analytics
Amyx+ is helping a prominent consumer brand to unlock their unstructured data. Our data scientists are applying AI/ machine learning best practices and techniques to extract meaningful, actionable insights to equip management to optimize their decision-making from sales, marketing, product development, distribution, retail to customer service.
Case Study 2: Human Data Analytics
Amyx+ Affectio human data analytics platform uses sophisticated machine learning algorithms, mobile, wearables and the Internet of Things to reveal deep insights about people — how your consumers feel, think, behave and engage your brand. Affectio advanced human data analytics are currently in pilot with publicly traded companies and organizations in financial services, retail, high performance sports, advertising & marketing, apps and services.
Case Study 3: AI/ Machine Learning Applications & Automation
Amyx+ Amyx+ is working an international K-12 e-learning platform with 99% domestic market share to apply machine learning capabilities to their rich curation of 150,000 education multimedia content and images. From image recognition, automated metadata extraction to localization translation, Amyx+ is enabling incredible automation and efficiency in large scale. Moreover, Amyx+ is advising on their global expansion plans.
Case Study 4: IBM Watson
Amyx+ continues to invest heavily in AI/ machine learning-based data analytics with our innovation lab Affectio and partnership with IBM Watson, Fast Forward Labs and academia. Our AI data science team is working on solving some of the most challenging business problems today.