MLOps, DataOps and
Support Management
At Helix, we specialize in delivering comprehensive MLOps, Data Ops, and Support Management services tailored to the unique needs of your AI initiatives. Our expert team ensures seamless integration, deployment, and management of machine learning models, while optimizing data operations for maximum efficiency and reliability. With Helix's dedicated support management, your AI projects are backed by responsive and proactive assistance, ensuring smooth operations and driving continuous innovation.
Consultation and Strategy
Our AI consultation and strategy services focus on developing AI models that adhere to stringent ethical standards, fostering fairness, transparency, and accountability in AI systems. Our approach to ethical AI model development encompasses a range of essential practices, including thorough assessments of your current capabilities and the development of a strategic roadmap tailored to your business goals. Additionally, we provide expert advice on selecting the best tools and platforms suited to your infrastructure and needs.
Managed Infrastructure
Our Managed Infrastructure services ensure your organization's data and machine learning operations are supported by scalable, reliable cloud infrastructure. We set up and manage cloud platforms like AWS, Azure, and Google Cloud, tailored to your specific needs. Additionally, we provide robust data storage solutions, including data lakes, warehouses, and databases, to ensure your data is efficiently managed and accessible.
Pipeline and Automation
Step into the future with our AI pipeline and automation services, designed to streamline and optimize your organization's AI workflows. From model development to deployment and maintenance, our expert team ensures efficiency, reliability, and scalability every step of the way. Our team develops and maintains reliable ETL/ELT pipelines ensuring seamless data flow. Additionally, we create automated ML pipelines facilitating continuous integration, deployment, and monitoring of machine learning models.
Model Management
Elevate your AI initiatives with our AI Model Management services, tailored to meet the evolving needs of your organization's machine learning models. We provide comprehensive solutions to maximize the effectiveness and longevity of your AI models, including implementing version control for models, data, and code to ensure traceability and reproducibility. Additionally, we deploy models into production environments and ensure they can scale to meet demand while maintaining optimal performance through continuous monitoring.
Monitoring and Maintenance
Ensure peak performance of your AI models with our comprehensive performance monitoring solutions, allowing real-time insights into model behavior and accuracy. Using tools like Prometheus, Grafana, and ELK Stack, we continuously monitor data pipelines and model performance to detect and resolve issues promptly. With automated model retraining workflows, we guarantee that your AI systems stay relevant and effective in meeting evolving demands and data patterns.
Security and Compliance
Safeguard your AI infrastructure with our robust AI security and compliance services, ensuring data integrity and regulatory adherence. We provide comprehensive solutions to mitigate risks, protect sensitive information, and maintain compliance with industry standards and regulations by collaborating on projects that develop ethical AI technologies and frameworks. Additionally, we establish labs dedicated to exploring and resolving ethical AI challenges through thorough model auditing.
Managed Services for MLOps and DataOps
Our comprehensive managed services for MLOps and DataOps are designed to streamline your machine learning and data operations, ensuring efficiency, reliability, and security. We develop and maintain reliable ETL/ELT pipelines using industry-standard tools ensuring seamless data flow and integration. Additionally, we create automated ML pipelines using popular frameworks to facilitate continuous integration, deployment, and monitoring of machine learning models. By implementing robust performance monitoring we provide real-time insights into model behavior and accuracy, promptly detecting and resolving issues. Furthermore, our automated retraining workflows ensure that your models stay up-to-date with the latest data, keeping your AI systems relevant and effective in meeting evolving demands.
Why Helix?
Streamline Your AI Journey with a partner who understands your industry inside out. Helix provides specialized industry expertise, tailored AI solutions, and advisory services to help you realize your vision. Our consultancy, backed by proven use cases and domain knowledge, empowers you to address unique challenges and seize opportunities with artificial intelligence. Together with our strategic partners, we'll develop a roadmap aligned with your objectives, integrating prioritized use cases for impactful AI adoption across your business.
Let's Build Together
Helix understands AI and IT technology, has deep domain expertise, and can stitch together a strategic roadmap that combines your organization’s unique corporate objectives, existing infrastructure investments, and integrates prioritized use cases to help your business adopt AI with a purpose and impact.
For more information about the Helix Center for Applied AI and Robotics, contact your CNXN Helix Pro Account Manager or drop us a line at AI@Connection.com
Why is MLOps Important?
The MLOps cycle is vital for businesses using AI, because it ensures a seamless and efficient process, from model development to deployment and maintenance. By integrating Machine Learning, Development, and Operations, your business can quickly adapt to market changes, reducing time-to-market, and enhancing the reliability of your AI solutions. This structured approach enables continuous monitoring and improvement of models, leading to better performance, and more informed decision-making. Ultimately, a robust MLOps cycle helps your business maintain a competitive edge through efficient and effective use of AI technologies.