Data Engineering for AI

Data Engineering for AI

Unlocking Hidden Value: If your organization possesses vast amounts of siloed, unstructured data, Atmosera’s data engineering services can bridge the gap. We leverage robust data pipelines and expert data cleansing techniques to unlock the potential for advanced analytics and AI initiatives. This empowers you to extract valuable business insights that were previously obscured by data quality issues.

Atmosera’s Data Engineering for AI service lays a robust foundation for successful AI initiatives. We leverage Microsoft’s powerful cloud-based tools to collect, cleanse, secure, transform, and prepare your data for AI workloads. By ensuring your data is high quality, secure, and optimized for machine learning models, we set you up for accurate insights and powerful AI and automation solutions.


Transform Your Data into Insights with Atmosera

Let our experts optimize your data for analytics and AI success.

Featured Clients

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What some of our clients have to say

Michael Hinckley
CEO of busHive

At the time we selected Atmosera, they were one of 50 Azure Expert MSP vendors in the world rated as highly by Microsoft. After a few meetings, we felt very comfortable that we would have a good working relationship with Atmosera and we were right.

Gerald Bedwell
VP of Technology, Medadept

Through Atmosera, we’ve realized improved performance, better security, and increased ROI from our Azure investment.

Jimmy Kaanapu
CTO, Keona Health

Atmosera expertly manages our Azure environment, boosting our efficiency and security. Their reliable and timely service lets us focus on our core business.

Zach Hughes
Director of Engineering

Atmosera has changed many aspects of our work life. It's been a fantastic relationship. The projects ya'll have worked on have saved us time and money and have increased our environment awareness in Azure.

The managed services are awesome. Having folks available to fix/modify things 24/7 is awesome. We couldn't do that in-house. Response time is excellent.

Tim Fink
VP of Software Development, BusHive

Atmosera has provided 24/7 security monitoring of our Azure resources for the last 3 years. As a small company, we are not security experts, but we know security is essential to our success. Atmosera has been great to work with and we sleep better knowing they are always on the job.

Jérémie Bourque
Director of Software Engineering, Protocall

Atmosera has been a valuable partner in managing our Azure environment and maintaining the quality of our services. Their expertise provides us with peace of mind, allowing us to focus on helping those in need. I'm grateful that we can rely on Atmosera for our critical infrastructure, allowing us to dedicate our efforts to the important crisis intervention work that we specialize in.

Annette Casper
Child Support Technology Services Manager, Department of Justice - Division of Child Support

It’s been wonderful to see Atmosera’s transformation over the past three years. The growth in their organization has provided additional opportunities for the Oregon Child Support Program to take advantage of their expanded services. A recent example was when our team was able to broaden its technical knowledge through engagement with their training division. The Client Success team is responsive, informative, and often exceeds our expectations. The technical teams continue to work collaboratively with Atmosera to ensure we can fulfill the program’s mission to support parents to support children.

Sharon Levy
Chief Operating Officer, US Claims

We recently completed a migration of our virtual environment from a private cloud to Azure, and partnering with Atmosera was an absolute game-changer for us.

We couldn't be happier with our decision to partner with Atmosera. Their exceptional service, technical proficiency, and dedication to customer satisfaction have truly set them apart. We wholeheartedly recommend Atmosera to any organization seeking a trusted partner for their cloud migration and managed services needs.

Bryan Collins, Wallace Management
IT Supervisor

Atmosera has been instrumental in helping our business thrive through its exceptional cloud servers and support services. Their expertise and commitment to excellence have truly made a significant impact on our operations.

Data Enablement for AI

Data Excellence for Analytics, Automation, and AI

Atmosera’s Data Engineering for AI builds a secure and reliable data foundation, ensuring your data models deliver value and drive business outcomes.

Maximize Your Data Potential: Atmosera builds robust Azure data pipelines to collect, process, and store diverse data sources, empowering advanced analytics, automation, and AI initiatives.

Data Quality for Reliable AI: We help ensure the accuracy and reliability of your data models with rigorous cleansing, validation, and transformation processes.

Scalable and Secure by Design: Our Azure architectures effortlessly scale with your data needs while prioritizing security, controls, and meticulous compliance practices.

Accelerate AI Time-to-Value: Our services provide a well-structured, AI-ready data platform, reducing project delays, and enabling faster deployment of analytic, automation, and AI solutions.

Optimize Costs and Improve Governance: Your clean, organized data minimizes storage and processing overhead, while a defined architecture streamlines data governance for better insights and decision-making.

Atmosera: Your Data & AI Partner

Data Foundations for AI Success: Atmosera understands that robust data infrastructure is the key to successful AI implementation. Our experts design scalable Azure data pipelines and data lakes to ensure clean, reliable, and readily accessible data. We prioritize data governance, security, and compliance, ensuring your AI models operate within a secure and ethical framework.

Accelerate AI Initiatives: Partnering with Atmosera streamlines your AI journey. We expertly architect data environments to meet the unique demands of AI workloads, ensuring seamless integration with your models. Our experience in AI implementation means we anticipate potential challenges and proactively design solutions, helping you get your AI initiatives off the ground faster.

Data Enablement

Data Engineering for AI Services by Atmosera

Unlock AI Potential. Optimize Your Data
Data Collection and Ingestion

Our data engineering begins with the meticulous design and implementation of processes to collect data from a myriad of sources. Utilizing Azure Data Factory and Azure Event Hubs, we ensure that data from databases, APIs, files, and real-time streams is ingested efficiently, setting the foundation for powerful AI applications.

Data Storage and Management

We employ Azure Blob Storage and Azure Data Lake to set up scalable, secure, and efficient data storage solutions. Our expertise ensures that your data is not just stored but managed in a way that makes it readily accessible for advanced processing and analysis, supporting both current and future data needs.

Data Cleaning and Preparation

The quality of AI outputs is heavily dependent on the quality of the input data. Leveraging Azure Databricks, we perform comprehensive data cleaning, remove inaccuracies, fill missing values, and transform data, ensuring it's in the perfect shape for effective processing by AI models. This meticulous preparation guarantees the reliability and accuracy of your AI insights.

Data Orchestration and Workflow Management

Our services streamline the flow of data through its entire lifecycle, from ingestion to insights. With Azure Data Factory, we automate and orchestrate data workflows, ensuring seamless transitions between different stages of processing. This orchestration is key to managing complex data pipelines that feed into AI and machine learning models.

Data Security and Compliance

Data security and regulatory compliance are at the core of our data engineering services. We implement robust security measures, including access controls and encryption, utilizing Azure's built-in security features. Our approach ensures that your data is not only protected against threats but also fully compliant with relevant regulations, such as GDPR and CCPA.

Integration with AI and Machine Learning

The culmination of our data engineering process is the integration of structured, cleaned, and processed data with AI and machine learning models. Using Azure Machine Learning, we develop, train, and deploy models that extract meaningful insights, predictions, and outcomes from your data, unlocking new opportunities for innovation and growth.

The Value to Our Clients

By partnering with Atmosera for AI Data Engineering Services, our clients gain a data-driven competitive edge, AI-led operational efficiency, increased scalability and flexibility, enhanced security and compliance, and better position themselves for accelerated value from innovation.

Optimize Data, Empower AI

Data Engineering for AI involves a comprehensive set of practices and technologies focused on preparing data in a way that maximizes the effectiveness and efficiency of analytics, automation, and AI applications.

AI Data Foundation

Data Engineering for AI is a foundational aspect of any business that aims to leverage AI for data analysis and insights, ensuring that the data is in the best possible state for analytics, automation, and AI models.

By the Numbers

Data Engineering: The Power in Numbers

A few compelling statistics highlight the transformative impact of data engineering on your AI initiatives.
5x to 8x
Businesses with robust data engineering practices see an average ROI of 5x to 8x within three years on their AI and analytics investments.
Source: McKinsey & Company
Poor data quality can cause up to a 30% decrease in AI model accuracy, leading to unreliable predictions and insights.
Source: Gartner
Organizations with high-quality data are 23x more likely to report superior decision-making capabilities.
Source: Accenture
AI projects with well-prepared data see an average reduction of 75% in development timeframes compared to those with inadequate data engineering.
Source: IBM

Let’s Engineer Your Data into Value

Data Insights, Engineered for Success

Case Studies

Success in the Cloud

Discover real-world stories of transformation and growth from businesses like yours, who have successfully navigated their journey to Azure.
Project Overview This customer is one of the largest fast-food restaurant franchises...
busHive, Inc. offers software tailored for school bus and motorcoach operators, enabling...
Alabama based Intergraph (now part of Stockholm-based Hexagon) is a global leader...
Atlanta is the capital and most-populous city in the U.S. state of...
Frequently Asked Questions

Data Engineering for AI: Your Questions Answered

How does Atmosera ensure the quality of data for AI applications?

Atmosera employs a comprehensive data cleaning and preparation process using Azure Databricks, ensuring that all data is accurate, complete, and in the right format for AI processing. By removing inaccuracies and filling in missing values, we guarantee high-quality data that enhances the reliability and accuracy of AI insights and predictions, ensuring that your AI applications are built on a solid foundation of clean, structured data.

What makes Atmosera's approach to data security and compliance stand out?

Atmosera prioritizes data security and regulatory compliance by implementing robust measures such as access controls, encryption, and auditing using Azure's built-in security features. Our approach is proactive, ensuring that your data engineering and AI initiatives are fully compliant with relevant regulations like GDPR and CCPA from the outset. We provide peace of mind by safeguarding your data against threats and ensuring it is handled in accordance with the highest standards of privacy and security.

How does Atmosera handle data from various sources and formats?

Leveraging Azure Data Factory and Azure Event Hubs, Atmosera designs and implements sophisticated data ingestion processes that efficiently collect data from a wide range of sources, including databases, APIs, files, and real-time streams. Our expertise ensures that data in various formats is seamlessly integrated and made AI-ready, enabling your organization to leverage diverse data assets for comprehensive AI-driven insights and outcomes.

Can Atmosera's services scale with our growing data and AI needs?

Absolutely. Our Data Engineering for AI Services are built on the scalable, flexible foundation of Microsoft Azure, allowing us to easily adjust to your evolving data volumes and complexity. Whether your organization is expanding its data sources, increasing data collection, or advancing its AI applications, our cloud-based solutions are designed to scale with your needs, ensuring that you can continue to innovate and grow without being limited by your data infrastructure.

How does Atmosera integrate Azure OpenAI Service into its Data Engineering processes to enhance AI-readiness?

We approach Azure OpenAI Service integration strategically, ensuring a seamless fit within your data landscape:

  • Data Transformation for LLM Compatibility: We prepare your existing data using Azure Databricks to align with LLM input requirements (e.g., tokenization, text formatting), optimizing its usability for AI tasks.
  • API-Driven Integration: We establish robust pipelines through Azure Data Factory or custom functions to orchestrate data flows between your systems and Azure OpenAI Service APIs, enabling real-time or batch-based interactions.
  • Knowledge Graph Creation: We leverage Azure Cosmos DB to construct knowledge graphs, providing a structured representation of your data. This enhances the context and understanding LLMs have when performing complex analysis or generative tasks.
  • Continuous Feedback Loop: Outputs from the Azure OpenAI Service are integrated back into your data stores, enriching your data and creating a self-improving system.

What are your best practices for scaling AI-focused data pipelines while ensuring data quality and security across Microsoft Fabric?

We prioritize scalability, quality, and security through a meticulous approach:

  • Data Partitioning: Azure Data Lake Storage or Azure Synapse are used to logically partition data for parallel processing, optimizing performance and handling increasing volumes.
  • Data Validation Pipelines: Azure Functions or Azure Databricks notebooks provide automated data quality checks during ingestion and within transformations, maintaining data integrity at scale.
  • Access Controls & Monitoring: Azure Active Directory, role-based access controls, and Azure Monitor are key to secure data access and logging. This allows for auditing and proactive threat detection.
  • Governance Frameworks: We use Azure Purview to map data lineage and enforce data policies. This promotes consistency and compliance, even as your data landscape evolves.

Can you elaborate on strategies for data security and compliance with LLMs, especially when working with sensitive data?

Security and compliance are non-negotiable. Here's how we ensure robust protection:

  • Data anonymization & Masking: Before utilizing LLMs, we use Azure Data Factory or Databricks for anonymization techniques (e.g., differential privacy) or masking sensitive fields to reduce risks.
  • Confidential Computing: For highly sensitive use cases, we leverage Azure's confidential computing capabilities, encrypting data during processing within secure enclaves.
  • Auditing and Access Logs: Azure Monitor provides audit trails and detailed logs for access tracking and investigations.
  • Regulatory Alignment: We map your industry-specific regulations (GDPR, HIPAA, etc.) to technical controls within Azure, ensuring continuous compliance.
  • Zero-Trust Approach: We design systems assuming no inherent trust, rigorously authenticating and authorizing every access request, minimizing potential breaches.
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