Choosing the right framework and right tools for your business problem is the first and foremost step of AI adoption. This can be overwhelming at times because of the plethora of options out there. We at DSI can guide you in this decision-making process understanding your requirements and pinpointing them in the right directions.
Adoption
Data & Business Understanding – Becoming AI Driven
Implement robotic process automation to your business analytics, predictive analytics, and artificial intelligence. Leverage ML and AI technologies using Microsoft Azure tools to transform your business needs and maintain a competitive edge. Agenda: Understand your AI maturity. Address your specific data-intensive processes and existing business analytics systems. Define your business problem and audit your
Adoption
Large Scale Deployments
Learn how to plan for, and manage a growing Power BI environment
Adoption
Combining Source Systems
Define a common approach to connect different source systems in one semantic model Connect data from various sources including Excel, SQL Server, Spark, ActiveDirectory, Adobe Analytics, and more
Adoption
Adopting iPaas Strategy
Discuss Azure Platform for Azure Integration Services Define an IPaas strategy for adoption Integrate applications, data, and processes for your enterprise Build new, integrated solutions that connect on-premises applications and services to Azure Bring your business workflows together so they are scalable
Adoption
Adopting GitHub for DevOps
Understand how to store and manage code using Github Track and control changes to code Define an approach for GitHub Adoption
Adoption
Develop the POC
Identify an analytical business process and related data sets Take a high-value Analytics Workload and bring it to Azure Synapse Analytics Turn data estates into useful business insights to grow your organization
Adoption
Identify the Workload
Identify, review, and compartmentalize your analytical workloads Create high-value business processes Leverage the power of the Azure Data Platform