Home Cloud Computing What’s new in Knowledge & AI: Prolong the attain of AI with knowledge connectors and integrations | Azure Weblog

What’s new in Knowledge & AI: Prolong the attain of AI with knowledge connectors and integrations | Azure Weblog

What’s new in Knowledge & AI: Prolong the attain of AI with knowledge connectors and integrations | Azure Weblog


Knowledge is the lifeblood of any enterprise, and AI is the important thing to unlocking its full potential. Nonetheless, harnessing the quantity and complexity of information from apps, providers, sensors, and extra is usually a important problem to fueling impactful AI. By investing in a unified, clever knowledge platform, organizations can’t solely save on integration prices and enhance their safety posture, but in addition allow extra superior AI capabilities. Healthcare corporations like Mercy, producers like Aurobay, Monetary Providers suppliers like Manulife, and different corporations throughout industries are paving the best way for AI innovation by modernizing their knowledge with Microsoft Azure.

The rise of generative AI presents an particularly thrilling alternative to remodel your knowledge right into a aggressive benefit. For instance, Atera is reworking IT Administration by combining basis fashions in Azure OpenAI Service with distinctive enterprise knowledge, offering prospects with an all-encompassing view of IT actions to proactively determine points, and suggest rapid options. Likewise, startup Commerce.AI is driving 30 to 50 % will increase in productiveness for purchasers by utilizing Azure OpenAI Service to extract insights from unstructured knowledge, like buyer help calls and on-line critiques, uncovering new progress alternatives, and automating workflows. Through the use of basis fashions as a reasoning engine—not a information base—organizations can construct extra related, differentiated options for purchasers and end-users.

On this month’s weblog submit, I’ll discover new ways in which organizations can join their enterprise knowledge to Azure AI to unearth significant insights, predictions, and actions. First, listed below are new studying and skilling sources to assist your groups get impressed and construct a proof of idea shortly.

Talent up with the most recent sources for Azure AI builders

Azure OpenAI Service offers organizations with entry to OpenAI’s highly effective massive language fashions (LLMs), enabling numerous pure language processing (NLP) options to grasp and generate content material. Builders can entry the service via REST APIs, SDKs, and a studio UI. Our new, free on-line course Develop generative AI options with Azure OpenAI Service offers builders with the abilities they should begin constructing options with Azure OpenAI Service, and features a module on accountable generative AI, with steering and instruments to implement options responsibly. For organizations that need extra customization, we revealed a brand new course on the best way to High-quality-tune a basis mannequin with Azure Machine Studying, offering machine studying professionals with step-by-step steering on the best way to discover, fine-tune, and deploy LLMs, all from the mannequin catalog in Azure Machine Studying.

Construct a chatbot that makes use of your personal organizational knowledge with Energy Digital Brokers and Azure OpenAI Service

Thrilling information for chatbot builders: Microsoft now presents seamless integration between Energy Digital Brokers and Azure OpenAI Service, serving to you unlock the complete potential of conversational experiences and generative AI collectively. Chatbot builders now have two methods to mix these fashionable providers: utilizing no-code out of the field generative AI options throughout the Energy Digital Brokers studio, or via low-code or code-first experiences in Azure AI Studio. And, since you possibly can mix Energy Digital Brokers with over 1000 software program as a service (SaaS) connectors utilizing Energy Automate, there’s limitless alternatives to counterpoint your chatbot conversations with enterprise providers and contextual data.

This replace expands the groundbreaking Azure OpenAI Service in your knowledge characteristic, which allows easy ingestion of information from any supply—be it native or cloud-based—to floor your Azure OpenAI Service resolution with contextual knowledge. Grounding fashions in your knowledge helps extra correct and related outputs. For instance, a retail firm might floor their Energy Digital Agent expertise in return insurance policies, low cost codes for campaigns, and product catalogs to offer extra useful responses to prospects on their web site. As a result of the Azure OpenAI mannequin has entry to, and might reference these particular sources to help its responses, solutions are usually not solely based mostly on its pretrained information but in addition on the most recent data obtainable in these designated knowledge sources. This grounding knowledge additionally helps the mannequin keep away from producing responses based mostly on outdated or incorrect data.

Carry your Microsoft 365 knowledge into Microsoft Azure to construct customized options for the way forward for work

Microsoft Graph is the gateway to organizational knowledge in Microsoft 365, and Microsoft Graph Knowledge Join allows builders, knowledge scientists, and analysts to leverage that knowledge in Microsoft Azure and Microsoft Material whereas staying compliant with trade requirements and maintaining organizational knowledge safe. Instance use circumstances embrace utilizing Microsoft 365 knowledge to assist workers discover matter consultants throughout the group, detect fraud in communication knowledge, or analyze assembly requests to grasp assembly room utilization. Our new Microsoft Graph Knowledge Join eBook explains how one can reap the benefits of all this knowledge responsibly to construct insightful options for the fashionable work surroundings.

A diagram of Microsoft Graph Data Connect serving as a bridge between Microsoft 365 Apps and Data Analytics apps in Microsoft Fabric

Azure Cosmos DB powers the clever purposes you utilize each day

From the cell app you utilize to order your morning espresso, to the collaboration apps you utilize at work, builders depend on Azure Cosmos DB to construct AI purposes that may ingest, retailer, and course of knowledge quick —and at scale. Just lately, we launched vector search capabilities in Azure Cosmos DB, opening a brand new world of alternatives for constructing clever apps with cloud-scale NoSQL and PostgreSQL knowledge. You might be questioning why vector databases are such an enormous deal for AI. Primarily, a vector database shops knowledge as “vectors,” or mathematical representations of options or attributes. Which means as a substitute of utilizing conventional strategies of querying databases based mostly on precise matches or predefined standards, you should use a vector to search out the most related or related knowledge based mostly on semantic or contextual that means. That is how vector-based search delivers quick, significant, and highly-relevant outcomes, even over unstructured knowledge. It’s but another excuse for builders to construct AI options with Azure Cosmos DB. 

Drive important ROI and value financial savings with an built-in knowledge and AI platform

The Microsoft Clever Knowledge Platform offers knowledge connectors and native integrations to assist corporations unify their knowledge and lengthen the facility of Azure AI, wherever your knowledge resides. A 2023 Forrester consulting research commissioned by Microsoft discovered that prospects taking a unified method to broad knowledge, analytics, and AI wants:

  • Had a projected ROI of 95 % to 232 % over three years.
  • Saved between 19 % and 70 % on knowledge governance prices.
  • Improved revenues as much as between 1 % and a pair of % from higher buyer analytics.

Watch the 30-minute webinar hosted by Microsoft and Forrester to be taught extra concerning the financial influence of a unified knowledge platform.

A quotation from a customer calls Microsoft the king of integration and a pair of statistics show that the Microsoft Intelligent Data Platform has a high ROI and NPV.

Scale generative AI with new Azure AI infrastructure developments and availability

The generative AI trade is evolving quickly, and corporations are searching for a full-stack AI resolution that mixes each highly effective AI infrastructure and managed AI providers to judge, fine-tune, and deploy massive AI fashions at scale. As a part of our dedication to bringing the transformative energy of AI to our prospects, this month, we introduced that Azure OpenAI Service is now obtainable in a number of new areas, offering companies worldwide with unparalleled generative AI capabilities.

As a part of our ongoing funding in generative AI, we additionally introduced the overall availability of the ND H100 v5 Digital Machine sequence, that includes the most recent NVIDIA H100 Tensor Core GPUs and NVIDIA Quantum-2 InfiniBand networking, which ship supercomputing efficiency and velocity for cutting-edge AI workloads. The ND H100 v5 is now obtainable within the East United States and South Central United States Azure areas. Enterprises can register their curiosity in entry to the brand new VMs or overview technical particulars on the ND H100 v5 VM sequence at Microsoft Be taught

Embrace the way forward for knowledge and AI at upcoming Microsoft occasions

Feeling impressed? Register for these upcoming occasions to find how Azure may also help you resolve your most vital challenges and create new alternatives for your online business.

  • Microsoft Envision will join thought leaders and trade consultants for well timed discussions centered on options and methods on your group’s AI transformation. Try our schedule of upcoming dates and areas, from Mexico Metropolis to Mumbai, and uncover how AI may also help you sole your most vital challenges and create new alternatives for your online business.
  • Microsoft Ignite is certainly one of our largest occasions of the 12 months for technical enterprise leaders, IT professionals, builders, and fanatics. Be a part of us November 14-17, 2023, just about or in-person, to listen to the most recent improvements round AI, be taught from product and accomplice consultants construct in-demand expertise, and join with the broader group.
  • Discover all upcoming occasions for Microsoft Azure, together with hands-on workshops for knowledge and AI options, particular subjects like accountable AI, and dwell Q&A periods with Azure consultants.



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