Technology

Leveraging AI and machine learning for business transformation

Since 2011, Neal Analytics has leveraged AI, cloud, and data expertise to help tech companies perform better, faster, and more efficiently.

Neal got its start in the technology industry and has evolved its competency to state of the art in AI consulting, data management, and business intelligence. Our unique team has carried forward our deep competency into a varied suite of solutions, where we can leverage our industry expertise to help clients.

These range broadly from development resourcing and assisting with the final push to publish for games to a unique suite of solutions we leverage in assisting with technology go-to-markets.

Our solutions

CustomerIQ

CustomerIQ is a holistic platform and services solution from Neal Analytics that provides companies with a unified view of their customers. We leverage our expertise in AI and machine learning with Microsoft platforms such as Dynamics Customer Insights, PlayFab, and Azure Machine Learning, to offer an integrated solution that enables dynamic segmentation and improved personalization to drive brand growth and optimize marketing.

Data warehousing

A recurring theme within Neal’s technology customers is a desire to see their data accurately to make better business decisions. We help our customers achieve this by deploying data warehouse assets, pipelines, and unit tests. Neal’s expertise spans across platforms, but we specialize in leveraging our cloud competency to accelerate our customer’s data journeys and produce a more holistic, scalable analytics platform for our customers.

Artificial intelligence

We leverage our AI expertise and partnerships to build and deploy custom-made models and algorithms to create scalable and cost-efficient solutions for real-world business challenges. From troubleshooting to tuning and operationalization, Neal can help your team build more with AI.

Case Studies

Azure Notification Hubs: Key features and use cases

Azure Notification Hubs is a highly scalable mobile push notification engine by Microsoft that is compatible with all significant platforms like   APNs (Apple Push...
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How to transition from digital transformation to digital acceleration

In part one, we shared two examples illustrating how new technologies can take years or even decades to reach their full transformational potential. To avoid the...
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The one tip to decrease AI agent complexity and increase explainability

AI is getting more powerful every day, and we witness its presence in our daily lives solving tougher and tougher business and consumer problems. If...
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What is Azure Purview and why are we excited about it?

Azure Purview, which is currently in preview, is a long-awaited tool from Microsoft that is designed to provide a solution...
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Key elements for designing and deploying a successful reinforcement learning-trained AI solution with Microsoft Project Bonsai

Deep Reinforcement Learning (DRL) techniques have allowed deep neural networks (DNN) based AI to move from theoretical concepts in the research lab to real-life, business solutions. Although tools such as the Microsoft Project Bonsai toolchain have tremendously streamlined, accelerated, and simplified the design, training, and deployment...
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Understanding the difference between supervised and reinforcement learning for deep neural networks

The traditional AI training method is rarely applicable in real-life business use cases simply because it requires an amount of...
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Keys for developing an RL-ready simulator  

Before diving deep into the concept of using simulators to solve Reinforcement Learning (RL) real-world problems, let’s understand the basics...
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Resources