Microsoft Marketplace | cloud solutions, AI apps, and agents

synvert MLOps FrameworkData Insights GmbH

+3

MLOps platform transforms ML models into production-ready deployments. Built with MLflow and AzureML, it offers a CI/CD framework for the ML lifecycle, advanced monitoring, and AutoML capabilities.

1 out of 60

Harman MLOps: 10 day assessmentHarman International Industries

+3

HARMAN MLOps Assessment aids organizations in analyzing ML practices, identifying potential use-cases, and selecting toolchains for strategic MLOps deployment.

2 out of 60

MLOps 2-weeks assessmentELEKS

+1

Cutting infrastructure costs, enhancing model performance and reliability. A 2-week MLOps assessment evaluates current practices and offers tailored optimization recommendations.

3 out of 60

MLOps Consulting ServicesOmniData Insights

+1

Obtain a clear map and blueprint for your business's journey through the fog of Machine Learning operations (MLOps), leveraging Microsoft Azure

4 out of 60

UTA MLOps Azure TrainingUltra Tendency International GmbH

+3

Immerse in the critical field of machine learning, and through our training, equip your team with practical skills to streamline and scale up operations, overcoming the challenges of managing models i

5 out of 60

MLOps: Operationalize Your Machine Learning ModelsWinWire Technologies

+3

WinWire’s 4-Week MLOps PoC automates and accelerates deployment of Machine Learning Models, to rapidly scale and embed ML across business functions.

6 out of 60

MLOps Cockpit: 8-Weeks ImplementationTCS - Data & AI

+3

MLOps service Accelerate AIML lifecycle leveraging Azure ML, Azure Devops and Power platforms

7 out of 60

Azure Databricks MLOps & Model Governance AdvisoryWinWire Technologies

+3

Operationalize and govern your ML and GenAI models with a unified MLOps framework on Azure Databricks

8 out of 60

DXC MLOps Advisory and Implementation ServiceDXC

+3

Kickstart your MLOps journey today by leveraging the DXC MLOps Quickstart for Azure – an MLOps base deployment using Azure native services - and maximize the benefit of your AI investments.

9 out of 60

Avanade AI at Scale MLOps Framework AcceleratorAvanade, Inc.

+3

Accelerate end-to-end management of machine learning models at scale to uncover critical data insights and deliver faster time to market.

10 out of 60

xOps for Azure: DevOps, DataOps & MLOpsInfoCepts LLC

+2

Unify DevOps, DataOps, and MLOps with Infocepts’ xOps for Azure service—automate, scale, and secure your cloud operations.

11 out of 60

MLOPS : 6-Wk Production Implementation $50kBiz-Metric Partners

+3

MLOps, or DevOps for machine learning, enables Data Science and IT teams to collaborate and increase the pace of model development and deployment via monitoring, validation, and governance of machine

12 out of 60

MLOps Framework: 8-Week MVP ImplementationSlalom Consulting

+3

Slalom and Microsoft combine expertise to bring the best-in-class Advanced Analytics Framework for Model Development, Execution, and Management by implementing MLOps Best Practices.

13 out of 60

MLOps Framework for Government Community Cloud (GCC)OmniData Insights

+2

The MLOps Framework delivers a structured foundation for collaboration, governance, and rapid model deployment leveraging Microsoft Fabric, Azure ML, or Azure Databricks.

14 out of 60

MLOps (Machine Learning Operations): 4-Week Envisioning and Design AssessmentSpyglass MTG, LLC

+3

The first step on your journey to an enterprise-wide strategy for productionizing, monitoring, and managing your entire machine learning model lifecycle.

15 out of 60

MLOps on Azure Machine Learning: 1-Day WorkshopLingaro

+3

This workshop will teach attendees how to use Azure Machine Learning for effective MLOps, addressing common challenges & improving efficiency & effectiveness of ML projects.

16 out of 60

UTI Vision Workshop MLOPS on Microsoft AzureUltra Tendency International GmbH

+3

With a high level of expertise in MLOps, Ultra Tendency can support you in your Microsoft Azure Machine Learning journey.

17 out of 60

Scale ML models serving with MLOps in 5 to 12 weeksSoftServe Inc.

+1

Solution offers a series of templates & reference architectures that complement available services from Azure cloud (Azure ML) that can be quickly adapted and tuned to specific needs of the business.

18 out of 60

Mphasis PACE-ML: 5 Day AssessmentMphasis

+3

Mphasis PACE-ML Assessment helps enterprises perform structured analysis of their data science practice to identify potential use-cases and toolchains for MLOps deployment.

19 out of 60

Compunnel_Azure_OpenAI_Implementation_ServicesCompunnel Software Group

+1

Compunnel offers a comprehensive suite of integration services for Microsoft Azure and OpenAI, designed to optimize and enhance machine learning, AI applications, and data management for enterprises.

20 out of 60

Mphasis PACE-ML: 5 Day WorkshopMphasis

+3

Mphasis PACE-ML Workshop leverages design thinking and user journey analysis to create a strategic roadmap for implementing MLOps in your data science practice.

21 out of 60

Machine Learning Operations: 2-Week AssessmentMAQ Software

+2

Facing hurdles in optimizing your machine learning (ML) workflows? Achieve seamless integration with a tailored 2-week MLOps assessment.

22 out of 60

Machine Learning Operations: 10-Week ImplementationMAQ Software

+2

Feeling the pressure to keep up in the Machine Learning-driven world? Gain the competitive edge you need with our MLOps implementation.

23 out of 60

Mphasis PACE-ML: 6 Weeks Proof of ConceptMphasis

+3

Mphasis PACE-ML helps enterprises establish MLOps framework and toolchain, enabling data science teams and IT operations to collaborate and manage production pipelines of ML applications and services

24 out of 60

Azure AutoML & Azure DevOps: 1-Wk ImplementationData-Core Systems, Inc.

+3

Exploring & Extending Azure DevOps CI/CD pipelines with the ML Model lifecycle through Automated Machine Learning

25 out of 60

Scaling AI with ThoughtworksThoughtworks

+1

Scale AI with Thoughtworks—Operationalize AI for Business Success

26 out of 60

ML Ops Framework Setup : 12-Week ImplementationTredence Inc

+3

Automated ML model management (MLOps) to generate higher RoI on Data Science investments and increase the Business User’s confidence in analytical insights

27 out of 60

Data Science Readiness AssessmentTTEC Digital

+3

Accelerate the transition from data science to production ML. Evaluate your data science maturity, tooling, and models, and receive a clear plan to operationalize ML workflows on Azure ML or Databrick

28 out of 60

Data Science environment sandbox based on Azure ML: 2-Week ImplementationLingaro

+3

Standardize your data science environment with our Azure ML sandbox creation services. Includes MLOps templates, education, and support for quick and effective Azure ML adoption.

29 out of 60

Enterprise-Scale AI Development and Deployment: 3 Months Implementation ProjectFuturice Oy

+3

Futurice team of certified experts will develop and deploy an enterprise-scale AI solution.

30 out of 60

LTIMindtree Data & AI KenAI - 6 Weeks PoCLTIMindtree Limited

+3

Accelerate your MLOps journey on Azure using KenAI with a 6-week POC engagement to operationalize your ML model into production along with holistic model QA, explainability & monitoring.

31 out of 60

LTIMindtree KenAI - 6 Weeks PoCLTIMindtree Limited

+3

Accelerate your MLOps journey on Azure using kenAI with a 6-week POC engagement to operationalize your ML model into production along with holistic model QA, explainability & monitoring.

32 out of 60

Azure ML & AI Operating Model 8-Week ImplementationNess Digital Engineering

+2

Implement or enhance your Azure ML environment and create a tailored AI Operating Model for your organization

33 out of 60

DevOps by Ness - 3 Days ImplementationNess Israel

+2

Enhance your DevOps with Ness Cloud. Our DevOps service streamlines your development processes, ensuring efficient and reliable delivery of software applications.

34 out of 60

Machine Learning Maturity: 4-week AssessmentBJSS Limited

+3

Deep dive into your readiness and maturity utilising our proven methodology which is aligned to Microsoft CAF and Analytics on Azure's good practices and will enable you to make the best use of Azure.

35 out of 60

Azure ML Ops - 2 Wks - Operational AssessmentSDK Tek Services Ltd.

+3

Developing an Azure Machine Learning (ML) model is complex Data Scientist work but so is operationalizing these models. SDK will develop an actionable plan to operationalize your Azure ML models.

36 out of 60

Eviden Cloud GenOps on Azure : 3-6 months ImplementationEviden International France - SAS

+1

Eviden's new Cloud GenOps offering enables organizations to fully integrate artificial intelligence (AI) in under 10 months. This solution addresses challenges such as scaling AI models, data security

37 out of 60

UST xpresso.ai- 8 Weeks Proof of ConceptUST

+3

xpresso.ai is an AI/ML Application Lifecycle Management Platform with built-in MLOps capabilities. It facilitates development and deployment of AI/ML models by enterprise data science/analytics teams

38 out of 60

ML Ops Framework Setup : 2-Week AssessmentTredence Inc

+3

Automated ML model management (MLOps) to generate higher RoI on Data Science investments and increase the Business User’s confidence in analytical insights

39 out of 60

Machine Learning (ML) Operations: 2 Mo. ImplementationTallan

+2

Tallan will bring machine learning or statistical models to production in Azure, enabling your data scientists to focus on innovation not maintenance using Microsoft's latest Azure technologies.

40 out of 60

Managed Service - Kubeflow on AzureCanonical

+3

Fully managed and supported Kubeflow in your Azure tenancy.

41 out of 60

Limited-Time AI Proof of Concept Offer with Advancing AnalyticsAdvancing Analytics

+3

Advancing Analytics will help you build a pilot in Azure AI - 2-4 week PoC to explore ML, MLOps or Gen AI

42 out of 60

ML Ops Framework Setup : 4-Week ImplementationTredence Inc

+3

Automated ML model management (MLOps) to generate higher RoI on Data Science investments and increase the Business User’s confidence in analytical insights

43 out of 60

EPAM OpenAI: 4-week POCEPAM Systems

+3

The Simple POC offering from Azure OpenAI enables exploration of capabilities, showcases potential use cases, and prepares for production implementation.

44 out of 60

IBM Consulting Global AI at Scale on AzureIBM Consulting

+3

“Consult-to-operate” service that will integrate and scale AI/ML. Brings engineering discipline to architect, develop, deploy and monitor AI/ML, while making it trustworthy and sustainable.

45 out of 60

Azure Databricks Unity Catalog AI Governance Advisory & MVPWinWire Technologies

+2

Accelerate Trusted AI with a Unified Governance Foundation on Azure Databricks

46 out of 60

IBM Consulting Global OpenAI offering: Strategy, Hackathon and ImplementationIBM Consulting

+3

IBM Consulting's Azure OpenAI offering can help from defining your strategy, innovating your business processes through implementing and scaling across your enterprise.

47 out of 60

Center of Excellence AIreadymind

+3

Implement an AI Center of Excellence with a proven 5-phase methodology. 300%+ ROI guaranteed, 98% success rate, 18-24 weeks to full deployment.

48 out of 60

RAILMinsait

+2

This asset ensures the adoption of artificial intelligence on Azure in a governed, reliable, scalable and integrated fashion

49 out of 60

Open AI Enablement and Architecture: 10-Day PoCAI Consulting Group

+3

Unlock the potential of Open AI through a 10-day Proof of Concept (PoC) that delves into its capabilities, functionalities, demonstrates potential applications, and prepare for implementation.

50 out of 60

Virtusa Data-Driven Transformation on Azure ServicesVIRTUSA LTD

+3

Accelerate AI-driven transformation with Virtusa on Azure—modernize data, maximize value, and monetize insights using intelligent Helio Data Agents and industry solutions.

51 out of 60

Azure Machine Learning Training, from 0 to hero - 8 weeksReply

+3

🔥 Azure Machine Learning Training – Build, Automate & Scale Enterprise ML with Confidence

52 out of 60

Machine Learning Accelerator: 6-wk ImplementationInCycle Software

+3

Leveraging InCycle’s proprietary Machine Learning Accelerator & InCycle cloud architects will design and implement an robust and reliable automated ML data pipeline.

53 out of 60

Market AI : 8 Weeks Proof of ConceptLTIMindtree Limited

+2

Azure Open AI powered Brand and Market Share Analytics Solution for Consumer Product Goods

54 out of 60

Generative Lakehouse: Unleash AI Potential for Data-Driven ExcellenceAdastra Corporation

+2

Transform your business with Adastra's 20+ years of AI/ML expertise on Azure. Accelerate processes and boost revenue with data-driven decisions.

55 out of 60

KPI Partners' AI/ML AssessmentKPI PARTNERS INC

+1

AI/ML Assessment by KPI Partners is a comprehensive evaluation to analyze customer's current capabilities and helps customer's get started with their AI/ML transformation journey on Azure

56 out of 60

Data Science on Azure Maturity: 2 Hour AssessmentBlueprint Technologies LLC

+3

Assess your organization's data science maturity (guided or self-assessment)

57 out of 60

AI CoE Consulting by Kellton (7–8 Week Engagement)Kellton Tech Solutions Inc.

+3

A comprehensive program to establish an enterprise-grade AI Center of Excellence (CoE) with Azure-native governance, operating model, and capability building.

58 out of 60

LTIMindtree Data & AI Market AI : 8 Weeks Proof of ConceptLTIMindtree Limited

+2

Azure Open AI powered Brand and Market Share Analytics Solution for Consumer Product Goods

59 out of 60

1-Day workshop: On-premises Spark to DatabricksFractal Analytics Inc.

+3

Solution assessment workshop for migrating on-premises Spark workloads running on Hadoop to Azure Databricks using WANdisco LiveData Migrator

60 out of 60

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