Azure Data Lake Storage:Provides the ability to store an organization’s data in native format, so that it’s easier for organizations to process it for a variety of analytics needs.
Azure Data Factory:Provides data integration and transformation capabilities needed by the analytics services to unlock business insights
Azure Databricks:Azure Databricks provides a unified platform to accelerate data science-driven innovation, by combining data engineering, data science, and business, for all types of data- structured, unstructured, and streaming data.
Azure Synapse Analytics:Enables organizations to accelerate time-to-insights and to empower business agility, by unifying data ingestion, big data analytics, and data warehousing.
More Azure Analytics Products Include:
Azure Blob Storage
Azure Data Explorer
Azure Data Share
Azure Stream Analytics
Microsoft AI and Machine Learning
Azure Machine Learning:Enterprise-grade service that empowers data scientists and developers, to build, deploy, and manage high-quality models faster and confidently, with a focus on accelerating time-to-value.
More Microsoft AI & Machine Learning Products Include:
Azure Bot Service
Azure Cognitive Search
Azure Cognitive Services
Azure Knowledge Mining
Azure Machine Learning Studio
Python: One of the popular programming languages used in business applications, Machine learning and artificial intelligence, that helps business achieve operational excellence and overall productivity.
R:Statistical programming language with open source libraries for statistics, machine learning and data science.
SQL: SQL databases hold most of the worlds databases and SQL allows programmers to interact with the data and develop insights to help business leaders achieve operational excellence
In addition to the platforms that can enable enterprise Machine learning, most of the tools are also getting embedded with AI and ML features. These tools help users get more productivity without having to spend a lot of time and money to embed AI/ML features.