Data, Analytics and Machine Learning

A comprehensive practice for every step in your data-driven journey

Overview

Leverage Data Analytics and Machine Learning to Elevate Your Business

Whether you’re assessing data lake options, improving existing data architecture and pipelines, or implementing custom AI and ML algorithms, we have in-house data, analytics and machine learning consulting expertise for every step of your data-driven journey.

AWS Machine Learning?

Benefits of Data, Analytics and Machine Learning!

We have a team of data consultants, engineers, and architects, with expertise across all of AWS’s many data services as well as commonly used 3rd party tools, like MLFlow, Tableau, and the many foundation models in use for generative AI. Whatever your goals, our machine learning consulting services can provide you with the support you need.

1. Gain More Insight From Your Data

Design custom algorithms to gain greater insight into the needs of your organization or customer base.

2. Run Your Data Models Efficiently

Develop a pipeline for your models and keep them up to date with continuous training and automation.

3. Leverage AWS Databases

Leverage experience and expertise in building solutions with cloud-native services such as Amazon Redshift.

4. Level Up Data Governance

Monitor all data on an ongoing basis to ensure best practices for accessibility and compliance.

5. Navigate the Build vs. Buy Decision

We consult with you to determine which data solutions make the most sense for your business.

6. Collaborate With a Team of Experts

Solve data challenges with a team of experts at a fraction of the cost of building an in-house team.

7. Visualize Your Data

Improve your analytics with custom dashboards and BI tools such as Tableau, Amazon QuickSight and Power BI.

8. Drive Data-Driven Decision Making

Detect anomalies in new data, make recommendations for customers, use data to inform courses of action.

Data, Analytics and Machine learning Services

When you work with Cloud Wizard you’re working with AWS-certified expertise. We’ve qualified for  the AWS Data and Analytics Competency and the AWS Machine Learning Competency, as well as AWS Glue, Redshift, QuickSight and OpenSearch Service Delivery Designations. 

Data Engineering and Analytics

A modernized data architecture, strategy, and tools lets you work with your data faster and more cost-effectively. Whether you’re establishing a data lake, lakehouse, data warehouse or data mart, or you’re modernizing an outdated and underperforming ETL pipeline, our engineering experts can help.

Machine Learning Operations (MLOps)

Keep your models up to date with the latest parameters and hyperparameters. We’ll develop the underlying data architecture, model pipelines and stores, and automate training jobs, QA processes, and parameter validation to ensure the efficiency, accuracy, and accessibility of your models. Or, receive expert advice on integrating types of machine learning into your cloud environment.

Data Science and AI/ML

Train custom algorithms to work with your data and improve product innovation, decision-making, and business operations. With techniques like predictive analytics, Natural Language Processing, classification, and computer vision, our team will develop state-of-the art solutions to make the most of your data.

Generative AI

Whether you’re just getting started or needing to scale your pre-existing model’s infrastructure, our AI specialists can help. Keep your data private and secure on AWS while developing models that empower applications, streamline customer experiences, boost your team’s productivity, and optimize business processes.

FAQs

We have a team of data consultants, engineers, and architects, with expertise across all of AWS’s many data services as well as commonly used 3rd party tools, like MLFlow, Tableau, and the many foundation models in use for generative AI. Whatever your goals, our machine learning consulting services can provide you with the support you need.

Yes, absolutely. We commonly encounter customers with large data stores that need help getting that data into AWS. We can ensure you have a cloud-native storage architecture and ETL which is optimized for both cost and your data operations.

Our data engineers can design custom dashboards with native AWS services, like Amazon QuickSight, and help you design the underlying data architecture using services like Amazon Redshift, or integrate with your preferred visualization tooling to equip your analysts.

This is actually a dedicated part of our generative AI engagement process. We’ll work backward with you to identify use cases that represent a good fit for your business objectives. We offer comprehensive data, analytics, and machine learning consulting to help your team with any business goals – even if you don’t know where to begin. If you’d like to get more ideas for what you can do with this technology, check out our Webinar here.

We work with teams at all levels of data sophistication and this includes helping to refine and manage AI, ML, and Data Operations. We can analyze your data architecture for root causes and help you automate operations, like your model and data pipelines.

We have the tools to understand your cloud and the guidance to make the most of it.

Our team of cloud experts is ready to help you with your next AWS initiative. Get advanced machine learning consulting from Cloud Wizard.

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