AI/ML Strategy Consulting focuses on creating a clear and actionable plan for integrating AI and ML into your business operations. We start by evaluating your current data infrastructure and tech stack, identifying specific areas where AI/ML can drive measurable improvements, and developing a step-by-step strategy for implementation.
The client is a fast-growing marketing firm specializing in crafting business content for 1K+ global brands worldwide. The company's primary goal is to promote the values and strengths of organizations from 10 domains, helping them broaden audiences and get ahead of the competition. The client focuses on digital transformation and process automation to improve employee satisfaction and overall efficiency.
Model Development and Deployment is about building and deploying high-performing AI and ML models that are tailored to your business needs. With our experts you can streamline the entire process, from data preparation to model training and deployment, ensuring that your models are reliable, scalable, and optimized for real-world performance.
Model Optimization and Performance allows improving model accuracy, reducing latency, and ensuring optimal resource utilization, leading to faster insights and better decision-making. By continuously monitoring and adjusting your models, we help maintain peak performance and adaptability to changing data patterns.
Winnow is the global AI leader in commercial food waste solutions. Serving chefs in 2,000+ locations, it helps run a more sustainable and profitable business, reducing food waste by 50%. The system captures images of discarded food, training itself to identify items in the bin. Winnow then processes this data, giving businesses insights that influence their decision-making.
AI/ML Infrastructure Setup and Management by OpsWorks Co. ensures your AI/ML workloads are supported by a robust, scalable, and secure infrastructure. We design and manage infrastructure tailored to your specific AI/ML needs, enabling seamless data processing, efficient model training, and smooth deployment, while minimizing operational overhead.
AI/ML Security and Compliance helps your AI/ML models and data adhere to the highest security standards and regulatory requirements. Our team implements robust security measures and continuous monitoring to protect sensitive data, prevent breaches, and maintain compliance with industry regulations, all while minimizing the risk of security incidents.
AWS Certified Security
Validates expertise in creating and implementing security solutions in the AWS Cloud
AWS Certified Advanced Networking
Validates expertise in designing and maintaining network architecture for the breadth of AWS services
AWS Certified Database
Validates expertise in recommending, designing, and maintaining optimal AWS database solutions
AWS Certified Data Analytics
Validates expertise in designing, building, and maintaining analytics solutions that are efficient, cost-effective, and secure
AWS Certified: SAP on AWS
Validates expertise in designing, implementing, migrating, and operating SAP workloads on AWS
Overall review
to understand
business needs
OpsWorks team reviews product idea, industry, and business specifics to understand core tech and infrastructure needs
System, cost, workload,
risks assessment
OpsWorks team makes system, cost, workload, risks assessment to understand the whole picture
Architecture review
OpsWorks team reviews the whole system architecture
Identifying points for improvements
OpsWorks identify points for improvements to make the system more dynamic
Presentation of
the assessments
and reviews results
OpsWorks presents the results of assessments and present plan for the next steps
New architecture design
OpsWorks creates new architecture design minding all the improvements needed
Opting for EC2
OpsWorks team helps choose EC2
Implementing AWS spot instances
OpsWorks team implements AWS spot instances
Development of a comprehensive monitoring strategy
OpsWorks team develops a comprehensive monitoring strategy, including regular checks on Spot Instance prices and adjustments based on market conditions
Training in-house developers
OpsWorks team providing training sessions to in-house developers on the new approach to using SPOT instances
Conducting a post-implementation review
OpsWorks team conducts a post-implementation review to assess the impact, gather feedback, and make any necessary adjustments
Establishment of reporting mechanisms
OpsWorks team establishes reporting mechanisms to track cost savings, system performance improvements, and any lessons learned during the implementation
Overall review
to understand
business needs
OpsWorks team reviews product idea, industry, and business specifics to understand core tech and infrastructure needs
Planing the assessment, defining the scope & focus areas
OpsWorks plans the assessment, defining the scope, key focus areas, and the AWS Well-Architected Framework pillars to evaluate
Evaluation of
operational processes, automation, monitoring, and incident response
OpsWorks evaluates operational processes, automation, monitoring, and incident response, providing recommendations for operational excellence
Conductinga comprehensive
security audit
OpsWorks conducts a comprehensive security audit, assessing data protection, access controls, and compliance with security standards, offering tailored security enhancements
Analyzing of system reliability and fault tolerance mechanisms
OpsWorks analyzes system reliability and fault tolerance mechanisms, providing strategies to enhance backup and disaster recovery
Assessing resource use and identifying performance bottlenecks
OpsWorks assesses resource utilization and identifies performance bottlenecks, offering recommendations for optimizing workloads and improving efficiency
Evaluating spendings
and identifying
potential savings
OpsWorks assesses cost spendings, identifies potential savings, and provides strategies for efficient resource allocation and budget management
Defining the areas
for improvement
OpsWorks identifies areas for improvement, providing strategies to unlock additional value from the AWS environment
Identification
and assessmentof potential risks
OpsWorks identifies and assesses potential risks, offering strategies and recommendations for mitigating risks and enhancing overall security
Presentation of
a strategy and roadmap for boosting efficiency
OpsWorks develops a detailed plan outlining specific steps for improving overall efficiency and provides possible roadmap for implementation
Creation of a comprehensive report
OpsWorks documents all assessment findings, recommendations, and action plans, providing a comprehensive report for transparent communication and easy reference
Support during
the implementation
phase
OpsWorks provides additional support during the implementation phase, ensuring a smooth execution of the recommended improvements
Monitoring of
the implementation progress
OpsWorks follows up with your team to monitor the implementation progress, address any additional concerns, and provide ongoing support as needed
Overall review
to understand
business needs
OpsWorks team reviews product idea, industry, and business specifics to understand core tech and infrastructure needs
A comprehensive vulnerability & security assessment
OpsWorks team makes vulnerability assessment that includs both scanning and management
Presentation of the assessment results
OpsWorks presents the results of assessment with all the essential security ingingts
Prioritization of vulnerabilities and mandatory improvements
OpsWorks helps prioritize vulnerabilities in order of what should be resolved in the first place
Helping an in-house
team to address fixes
and improvements
OpsWorks helps an in-house team address fixes and improvements needed to cover all the prioritized vulnerabilities
Implementation of continuous monitoring
OpsWorks implements continuous monitoring for all the aspects of the system
Preparing the in-house team for a compliance inspection
OpsWorks team prepares an in-house team for all the aspects of the compliance inspection
Providing assistance in passing the inspection
OpsWorks team assists an in-house team in passing the compliance inspection
Overall review
to understand
business needs
OpsWorks team reviews product idea, industry, and business specifics to understand core tech and infrastructure needs
Analyzing of the current workload
OpsWorks team makes an analysis of the current system workload
Implementation of reference infrastructure
OpsWorks team implements reference infrastructure according to product and business needs
Containerizationof one element
OpsWorks team makes containerization of one application or micro-service as an example
Preparing of Helm
chart template
OpsWorks team makes Helm chart template for one application or micro-service as an example
Making CI/CD for deployment
OpsWorks team makes CI/CD to deploy one application or micro-service as an example
Setup of logs aggregation system
OpsWorks team implements logs aggregation system using Vector and OpenSearch (ElasticSearch) or Prometheus Loki (as a cheaper alternative)
Implementation of metrics and monitoring
OpsWorks team implements metrics and monitoring using Prometheus and Grafana
Training for the
in-house team
OpsWorks team provides training for the developers so they can use new system efficiently
We have accomplished hundreds of tasks and consequently made significant changes to improve the infrastructure.
Great culture fit, we felt OpsWorks Co. was an extension of our own team.
Their response times have been great and went over and above in many cases when server problems were found.
They are predictable and straightforward in terms of what is expected.
We're impressed by their ability to find proper approaches to each issue that popped up.
The quality of the work and their professional skills impress us.
As a result of our cooperation, our IT infrastructure remains in good health and state.
We're impressed by their consistent level of high-quality work.
It’s a huge improvement over what we had before. Working with them was totally worth it.
They don’t just provide monitoring services, OpsWorks Co. really strives to solve issues.
They focus on their customers. For them, their customer is at the center of the engagement rather than the money.
OpsWorks Co. has a very impressive organization and they communicate really well.
The timeline for implementing an AI/ML solution varies depending on the complexity of the project, data availability, and specific business requirements. Generally, the process can take anywhere from a few weeks to several months.
Common challenges in AI/ML adoption include data quality issues, the need for significant computational resources, integration with existing systems, and ensuring model interpretability and transparency.
AI/ML Strategy Consulting involves developing a clear and actionable plan to integrate AI and ML into your business operations. This includes assessing your current data and technology landscape, identifying opportunities for AI/ML, and crafting a step-by-step roadmap for implementation.
AI/ML Model Development and Deployment refers to the process of building and deploying AI and ML models tailored to your business needs. It involves everything from data preparation to model training, ensuring your models are scalable, reliable, and optimized for real-world applications.
AI/ML Model Optimization and Performance Tuning is the process of fine-tuning your AI/ML models to maximize efficiency and accuracy. This includes reducing latency, improving resource utilization, and ensuring that models perform consistently across different environments.
AI/ML Infrastructure Setup and Management involves designing and managing the infrastructure needed to support AI/ML workloads. It ensures seamless data processing, efficient model training, and smooth deployment.
AI/ML Security and Compliance refers to the measures taken to ensure that your AI/ML models and data adhere to the highest security standards and regulatory requirements. This includes implementing robust security protocols, continuous monitoring, and ensuring compliance with industry regulations like CCPA, GDPR, HIPAA, etc.
We ensure ethical AI/ML practices by incorporating fairness and transparency principles into model development, using diverse datasets, and continuously monitoring models to prevent biases from affecting outcomes.