Analytics Engineering Innovation Retail 
Dynatrace
NOVEMBER 6, 2023
Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.
Dynatrace
OCTOBER 7, 2020
Our latest innovation for detecting anomalies in metrics, topology-aware Davis-AI auto-adaptive baselining, is unique in that it adapts to changing metric behavior over time, thereby helping you to avoid false-positive alerts. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.
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All Things Distributed
MARCH 11, 2015
Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling.
The Netflix TechBlog
MARCH 2, 2021
Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service.
All Things Distributed
SEPTEMBER 6, 2013
Shell leverages AWS for big data analytics to help achieve these goals. Shell''s scientists, especially the geophysicists and drilling engineers, frequently use cloud computing to run models. Ohpen – The Dutch banking regulator, De Nederlandsche Bank (DNB), has cleared the path for Dutch financial institutions to make use of AWS.
All Things Distributed
MARCH 13, 2017
Job openings for machine learning scientists, data analytics experts, IT security experts or developers are already difficult to fill, and the demand for this knowledge will increase significantly in the next few years as customers show their demand for digital engagements. But to thrive, innovations need a certain tension.
Highly Scalable
MARCH 10, 2015
Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods. However, many of these models are highly parametric (i.e.
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