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Montenegro
重設篩選
所有結果
Predictive Maintenance: 8-Wk Pilot Implementation
1 out of 32
Azure Cost Optimisation 1-day Assessment
2 out of 32
Cloud Adoption – Implementation in < 3 months
3 out of 32
Data Analytics Solution: 1-Mo Implementation
4 out of 32
Data Estate Modernization & Analytics: 6wk Imp.
5 out of 32
Enterprise Data Analytics 4-Months Implementation
6 out of 32
Cloud D&A Modernization™: 6 weeks implementation
7 out of 32
Data & AI Opportunity Catalogue: 1-Day Workshop
8 out of 32
Synapse & Customer Insights: 1Day Workshop
9 out of 32
Machine Learning Modeling: 1-wk Proof of Concept
10 out of 32
Customer 360 - Proof Of Concept
11 out of 32
PowerBI and DWH: 6 sprints implementation
12 out of 32
DWH migration to cloud - 5-Month implementation
13 out of 32
Data Analytics Ref Architecture: 4-Week Impl
14 out of 32
Azure AI & ML: 6-Months Implementation
15 out of 32
Machine Learning Modeling: 2-Hour Assessment
16 out of 32
Customer Experience Engagement and Analytics for Retail: 4-week Implementation
17 out of 32
Retail Marketing Personalisation using Machine Learning: 4-week Implementation
18 out of 32
Customer Insights & Synapse Deployment 5 day Workshop
19 out of 32
add.AI Predictive Maintenance Model (Proof of Concept)
20 out of 32
Azure Analytics in a Day Workshop (1 day)
21 out of 32
Artificial Intelligence & Data Science - Tailored Consulting Services: 1 Hour Briefing
22 out of 32
Customer Data Platform AI + ML Data Intelligence: 6-Wk Proof of Concept
23 out of 32
Data Analytics Use-cases Generation 5- months Workshop
24 out of 32
Complete BI Solution (CBIS): 3-Mt implementation
25 out of 32
Modern Data Platform: 4-week Strategic Assessment
26 out of 32
Blueshift™ Modern Data Platform (8-week Implementation)
27 out of 32
Reduce time to implement an ETL solution with a proven method that is a standard process.
28 out of 32
Hadoop to Azure Databricks Launch Ramp 4-Week Assessment
29 out of 32
Strategic Data and AI Think Tank: 1-Day Workshop
30 out of 32
FHIR Data Integration ETL Framework: 8-week POC
31 out of 32
Forecasting ML Model: 4-week Implementation
32 out of 32
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