Those Who Own the Data
Own the Future
Sivan Metzger, CEO ParallelM
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“I was impressed with the data science enterprise level production operation that Ksenija and her team implemented at Verizon, they were years ahead of many other companies that I came across…”
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Data Science Production Grade
Business Value
Our mission is to
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Institute robust, corporate-wide Machine Learning and Data Science production environments
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Provide strategies for monetizing Data Science and dramatically improving your business outcomes
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Create trust and partnership between business stakeholders, data scientists and IT operations
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Nurture and develop talents for your future growth
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End-to-end Data Science Solutions
from an Award Winning Team
Armand Ruiz, Lead Product manager, IBM Watson Studio and Machine Learning:
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“…you have created a very impressible production grade ML environment at Verizon and you are by far one of the most advanced IBM clients”
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Our Services
Expert Data Science
Advisors
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Highly experienced team with proven results in large production environments will show you the path from math to business value
Predictive Modeling Services
Solve business problems using the latest Data Science and Machine Learning methods for industry leading results
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Mature ML Environments
Add-ons
Models already in production? We will show you how to identify smart data, gather intelligence about your models and create optimal model governance
Dedicated Support Hours
We can also help you with
model development, integration with business processes, data engineering and DS Ops services.
Executive
Boot Camp
Off-site in a relaxing, collaborative environment to get the latest on modern Data Science strategies and how Machine Learning fits into your Artificial Intelligence operations
Data Science
Training
We will recommend and create Data Science training curriculums for your specific team needs, and up-levelling existing analytical talent.
Ksenija Draskovic, former Associate Fellow and Head Data Scientist at Verizon Wireless, has over 20 years of experience using multichannel data sources to understand customer behavior- providing key findings and actionable insights to business stakeholders, embedding those insights into business processes and deploying predictive analytics throughout the organization. She and her team covers variety of analytics for Marketing, Finance, Real Estate department, including predictive modeling, Big Data integration and unstructured data analytics. This interview in KDNuggets, discusses Predictive Analytics use cases at Verizon Wireless, advantages of a unified data view, model selection and common causes of failure.
Ready to find out more?
We are practitioners with first hand experience in data science monetization and business value impact for the largest US Enterprises. We will be honored and excited to work with you and help you achieve your business goals and solve problems that keep you up at night.
We want to make it easy for you, start with scheduling time with us and we will show you the fastest way of math monetization.
