Data and AI


Data and AI

Consider the vast amount of data generated daily within an organization, spanning from transactional data stored in traditional databases to telemetry data from utilized services, and signals gathered from diverse sources like social media. With data reigning as a business’s most critical asset, the prevailing challenge for organizations is comprehending and harnessing this data to enact positive change within their operations. Businesses grapple with leveraging their data effectively, hindering their capacity for action. The crux lies in the ability to craft a narrative from this data. In today’s fiercely competitive business landscape, constructing reports that convey this narrative empowers leaders to act on data. Accurate storytelling becomes pivotal for decision-makers, steering them towards informed choices. The agility to make swift, precise decisions translates to heightened competitiveness and a stronger edge. Data devoid of a narrative makes it challenging to extract its intended message.

AI services like Azure OpenAI Service are revolutionizing how customers utilize and develop daily AI encounters, reshaping how employees allocate their time. Creating AI experiences tailored to specific organizations demands a consistent flow of accurate data from a seamlessly integrated and well-maintained analytics infrastructure. However, many organizations’ analytics setups are a complex maze of separate, specialized services that aren’t interconnected.

Microsoft Fabric is one of those comprehensive analytics platforms that consolidates all necessary data and analytics tools for organizations. Fabric unites Azure Data Factory, Azure Synapse Analytics, and Power BI into a single platform, empowering both data and business professionals to unleash their data’s potential and set the stage for the AI era. Traditionally, analytics projects involve various subsystems, each requiring different capabilities often sourced from multiple vendors, making integration complex, fragile, and costly.

With Fabric, users access a unified product with a consistent experience and architecture, offering all the necessary capabilities for developers to extract insights from data and share them with business users. As a software as a service (SaaS) offering, it seamlessly integrates and optimizes everything, enabling users to sign up instantly and derive tangible business value within minutes.

Fabric caters to every team involved in analytics, providing role-specific experiences for data engineers, warehousing professionals, scientists, analysts, and business users.

Seven Core Workloads:

  • Data Factory: Offers over 150 connectors to various data sources, drag-and-drop interfaces for data transformation, and the ability to orchestrate data pipelines.
  • Synapse Data Engineering: Facilitates authoring experiences for Spark, quick starts with live pools, and collaboration capabilities.
  • Synapse Data Science: Presents an end-to-end workflow for data scientists to build advanced AI models, collaborate efficiently, and manage machine learning models.
  • Synapse Data Warehousing: Provides a unified lake house and data warehouse experience with top SQL performance on open data formats.
  • Synapse Real-Time Analytics: Enables developers to work with streaming data from IoT devices, telemetry, logs, and analyze large volumes of semi-structured data with high performance and low latency.
  • Power BI in Fabric: Offers leading visualizations and AI-powered analytics for business analysts and users to derive insights from data, deeply integrated into Microsoft 365.
  • Data Activator: Provides real-time detection and monitoring of data, triggering notifications and actions based on specified data patterns, all through a no-code experience.
By browsing this website, you agree to our privacy policy.
I Agree