LULU was founded to help businesses bridge the strategy gaps to adopt emerging technologies as a core component of their information management and analytics infrastructure. LULU prides itself on offering expertise along the full data life cycle - not only guiding businesses through the creation, synthesis, and storage of information, but also identifying opportunities to leverage advanced analytics and artificial intelligence to answer the right questions. Artificial Intelligence and Machine Learning should not be a Black Box application to management and business stakeholders. We strive to achieve general acceptance by making the complex simple. Investing time with our clients to develop, deploy, and realize analytical solutions that drive business value. Moving past descriptive analytics, into predictive, and ultimately prescriptive solutions. LULU architects cost-effective, scalable analytics solutions leveraging cloud services (e.g., AWS, Azure), a variety of data platforms (e.g., MS SQL Server, Hadoop, Spark, Hive, S3), languages (e.g., SQL, Python, R, SAS, Scala, PySpark) and visualization software (e.g., Tableau, Power BI). We provide analytics strategies to drive quantitative and qualitative business insights through the cross-hair between Artificial Intelligence techniques (e.g., Unsupervised and Supervised Machine Learning, Deep Learning, Reinforcement Learning) and industry-specific domain knowledge.