Revolutionizing AI Decision-Making: SAS Decision Builder on Microsoft Fabric
The future of AI-driven decisions is here! SAS, a renowned global data and AI leader, has unleashed its cutting-edge decision intelligence solution, SAS® Decision Builder, on Microsoft Fabric, promising to transform how businesses leverage their data.
But what does this mean for businesses? And why is it a game-changer?
The Power of SAS Decision Builder:
SAS Decision Builder is now generally available on Microsoft Fabric, empowering businesses to harness the full potential of their enterprise data. It allows users to create composite AI workflows by seamlessly integrating multiple AI models, rules, and procedural logic. This means businesses can make informed, data-driven decisions with ease.
"SAS Decision Builder offers a decision intelligence solution to Microsoft Fabric users at a pivotal moment," says Kathy Lange, AI Software Research Director at IDC. "With SAS' expertise, they can provide the technology and insights businesses need to make confident choices."
Unleashing the Potential:
The SAS Decision Builder workload on Microsoft Fabric opens up a world of possibilities:
- Decision Flows and Low-Code Design: Users can access decision flows and design business logic using a user-friendly low-code editor, making advanced analytics accessible.
- Advanced Analytics and Language Models: Combine machine learning, forecasting, optimization, and the power of large language models to manage and streamline the decision-making process.
- Microsoft Fabric Integration: Utilize Microsoft Fabric's capabilities, including Power BI, for secure reporting and analysis, all within the Fabric ecosystem.
- Data-Driven Decisions: Test and refine decisions using enterprise data stored in Microsoft OneLake, ensuring informed choices.
- Transparency and Automation: Track data flows and monitor decision-making processes with built-in governance features, and automate decision deployment using scalable containers for various industries.
"Our integration with Microsoft Fabric empowers businesses to bring AI models into production, enabling real-time decisions that significantly impact their operations," states Shadi Shahin, Vice President of Product Strategy at SAS. "SAS Decision Builder offers a versatile solution for diverse industries, maximizing the value of data and AI investments."
A Seamless Partnership:
Tamás Bosznay, Principal Consultant at Katalyze Data, praises the collaboration: "SAS Decision Builder provides our Microsoft Fabric clients with a robust, integrated approach to accessing their lakehouse data. We're excited to partner with SAS to deliver sustainable value to our customers."
The Last-Mile Solution:
SAS Decision Builder addresses a crucial challenge: getting AI models into production. It streamlines the analytics lifecycle, allowing business analysts and domain experts to design, integrate, and deploy models and decisions efficiently.
Dipti Borkar, Vice President & GM of Microsoft OneLake and Fabric Ecosystem, highlights the impact: "Microsoft Fabric's open platform allows partners to bring unique capabilities to data customers. With SAS Decision Builder, organizations can orchestrate models, rules, and LLM-powered logic in a low-code environment, then implement governed decisions across Fabric workspaces, accelerating the journey from analytics to action."
Explore the Future of Decision Intelligence:
Discover SAS Decision Builder on Microsoft Fabric and unlock the power of AI-driven decisions. But here's where it gets controversial: is this the ultimate solution for businesses, or are there hidden challenges? Share your thoughts in the comments, and let's explore the future of AI decision-making together!
About SAS:
SAS is a global leader, empowering organizations to transform data into trusted decisions. With SAS software, businesses gain the power to know and innovate.
Note: All trademarks and copyrights mentioned are the property of their respective owners.
Contact:
For more information, reach out to Georgie Blackerby at [emailprotected] or visit www.sas.com/news.
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