Quantiphi Achieves AWS Data & Analytics Competency Status

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Quantiphi has achieved Amazon Web Services (AWS) Data & Analytics Competency status.

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Quantiphi, an award-winning applied artificial intelligence (AI) and big data solutions & services company today announced that it has achieved Amazon Web Services (AWS) Data & Analytics Competency status. This recognition further substantiates Quantiphi’s expertise in large scale data analytics and machine learning deployments by using the tools, techniques, and technologies of working with data productively, at a large scale on AWS solutions. Achieving the AWS Data & Analytics Competency differentiates Quantiphi as an AWS Partner Network (APN) proficient in:

  • Implementing scalable, adaptable and robust data lake instances to store all business data in one place that can manage multiple source data.
  • Designing and implementing data migration strategies at scale, as well as set up destination server architecture.
  • Extracting business value using Big Data to harness data and applying machine learning concepts to huge quantities of data, and business analytics.
  • Creating end to end ingestion workflows and ETL pipelines for batch or streaming processes with architectures using different technologies.
  • Implementing a distributed data warehouse using enterprise distributions.
  • Building cost-effective, scalable data lake cloud platforms by setting up an intake pipeline with security protocols and real-time insights.
  • Configuring security measures of policies, controls, and procedures to protect data and infrastructure.

What this means for our customers

Quantiphi is an AWS Advanced Consulting Partner with a deep understanding of artificial intelligence and data, & analytics solutions. Our AI-assisted solutions built by a team of certified AWS professionals create smart products & solutions, automate key business processes and enable low-risk business environments, to help solve some of the most complex business problems. Recently Quantiphi announced its recognition for DevOps competency status and achieving 100 certifications on AWS. With this AWS Data & Analytics recognition, Quantiphi is well placed to help customers by delivering a comprehensive solution which features:

  • Helping organizations derive readily consumable and actionable insights from all of their data assets using cutting-edge technologies.
  • Fully digital, cloud-enabled flexible platforms with an automated end to end pipeline for real-time analytics and business results/
  • Improved operational excellence of data assets by centralizing siloed and unstandardized system data.
  • Data lake solutions where data can be structured and queried easily.
  • Secure, fast and easily deployable framework on multiple environments
  • Autoscalable architecture based on the consumption of resources for cost and performance optimization.

As an AWS APN partner, Quantiphi’s solutions are fully optimized to turn our client’s cloud-stored data into actionable business opportunities.

About AWS Competency Program

AWS is enabling the development of scalable, flexible, and cost-effective solutions for all companies ranging from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify Consulting and Technology APN Partners with deep industry experience and technical expertise. To receive the designation, APN Partners must possess deep AWS expertise and deliver solutions seamlessly on AWS.

About Quantiphi

Quantiphi is an award-winning applied artificial intelligence and big data software and services company driven by a desire to solve transformational problems at the heart of business. Its unique approach combines deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge machine-learning research to achieve quantifiable business impact. For more on Quantiphi’s capabilities, visit http://www.quantiphi.com.

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Jhon Alexander
Quantiphi
+1 804-484-9813
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Lauren Irwin Wale
@Quantiphi
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