Monday, June 3, 2024
HomeCloud ComputingWhat’s new in Azure Information, AI, and Digital Functions: Harness the ability...

What’s new in Azure Information, AI, and Digital Functions: Harness the ability of clever apps 


As corporations race to construct or modernize clever apps that incorporate generative AI, many are discovering gaps of their tech-stack modernization efforts as they discover and check use circumstances. 

Not too long ago, Microsoft commissioned Forrester Consulting to guage modernization efforts at world organizations. The examine discovered that just about 90% of resolution makers mentioned they’ve a contemporary tech basis and are prepared for the longer term. The examine additionally discovered there’s a notion hole and plenty of aren’t as prepared as they suppose they’re. Some nonetheless cope with rigid, outdated, and brittle legacy software program techniques that stifle innovation and depart substantial room for enchancment. 

A few of this comes from a cloud method targeted on migration. There’s a lot to realize merely in migrating to the cloud, however modernization is way more than raise and shift—it’s about what you are able to do when you get there. 

The examine additionally discovered that one in 5 corporations surveyed are overcoming foundational obstacles of their utility modernization journey to carry essential worth again to the enterprise. These corporations are doing just a few frequent issues: implementing a transparent know-how technique constructed round AI and coaching, integrating analytics and key metrics to attach with enterprise outcomes, and upgrading know-how stacks, supported by strategic partnerships with related suppliers. In adopting these practices, these corporations can transfer quickly to deal with inside gaps and overcome thorny challenges in the best way of their modernization targets. 

Is your tech stack AI-ready? Are you searching for greatest practices to assist execute your modernization technique? Need to study extra in regards to the Forrester examine? Be a part of us on Could 8, 2024 for our subsequent Microsoft Azure webinar: “Harness the Energy of Clever Apps: Modernize with Azure.” Along with listening to from me, you’ll hear from: 

  • Amanda Silver on “Powering Future Innovation with Azure Utility Platform”
  • Ali Powell on “Imaginative and prescient to Worth: Accelerating Modernization to Azure with Azure Buyer Success”
  • Cyril Belikoff on “Empowering Modernization with Microsoft Applications, Presents, and Accomplice Ecosystem (Closing Keynote)”

And we’ll be joined by Invoice Martorelli, Principal Analyst at Forrester, who will talk about the examine. 

Person talking to a group of people in conference room.

Be a part of us for the Azure webinar collection

“Harness the Energy of Clever Apps: Modernize with Azure”

Subsequent, right here is the newest from Microsoft knowledge, AI, and digital apps that can assist you together with your modernization.

What’s new in knowledge, AI, and digital functions 

Snowflake partnership extends Azure choices in your knowledge 

One of the crucial empowering issues Microsoft does for purchasers is forge partnerships with corporations who prolong the worth of our platform. Snowflake is a superb instance of this in motion. I had the chance to affix Snowflake Chief Advertising and marketing Officer Denise Persson to speak about how we work collectively to assist clients benefit from their knowledge to drive AI transformation. Partnerships like these are simply another reason why Azure is the perfect cloud in your knowledge. 

Extra alternativeMicrosoft Azure AI mannequin catalog of open and frontier fashions simply bought larger with additions from Snowflake, Microsoft Analysis, Meta, Databricks, and extra 

Azure AI Catalog screenshots showing featured models

The Azure AI mannequin catalog now presents greater than 1,600 basis fashions (giant language fashions (LLMs) and small language fashions (SLMs)) enabling Azure clients to decide on the perfect mannequin for his or her use case. Our catalog continues to develop, with the addition of recent cutting-edge fashions, together with Snowflake Arctic, Meta Llama 3, databricks/dbrx-base and databricks/dbrx-instruct, and Microsoft’s Phi-3 household of open fashions, probably the most succesful and cost-effective small language fashions out there, outperforming fashions of the identical dimension and subsequent dimension up throughout a wide range of language, coding, and math benchmarks. The brand new fashions not solely increase our catalog, but in addition improve our capacity to fulfill various enterprise calls for.  

Azure AI Search now has considerably elevated storage capability and vector index dimension at no extra price. To assist elevated demand for retrieval augmented technology (RAG) and generative AI functions at scale, AI Search has drastically raised storage limits, giving clients extra vectors per greenback with out compromising excessive efficiency. With this variation, clients can obtain extra scalability at a decrease price, belief AI Search to deal with their giant RAG workloads, and apply superior search methods to navigate complicated knowledge to innovate in methods beforehand unimaginable. 

Microsoft declares new industrial AI improvements from the cloud to the manufacturing unit ground 

We introduced new AI-driven options for manufacturing that intention to unify knowledge estates, improve operational resilience, and empower front-line staff with AI copilots for environment friendly knowledge querying and subject decision. The personal preview consists of Microsoft Cloth knowledge options and the Microsoft Copilot for Azure AI template, promising to optimize operations and speed up AI integration throughout world manufacturing websites. 

From cloud to edge, CPUs to GPUs, and application-specific built-in circuits (ASICs), the AI {hardware} and software program panorama is increasing at a formidable charge. Our new “Microsoft Azure: The State of AI Infrastructure” report helps you retain up with the present state of AI, its developments and challenges, and to study greatest practices for constructing and deploying scalable and environment friendly AI techniques. Learn the inaugural weblog in our new Infrastructure for the Period of AI collection for extra and to obtain the report. 

Mirroring in Microsoft Cloth for Azure SQL Database and Azure Cosmos DB now in public preview 

Azure SQL Database Mirroring in Microsoft Cloth repeatedly replicates your SQL knowledge into Delta tables in Microsoft Cloth’s OneLake in close to real-time. This new characteristic helps keep away from complicated and time-consuming extract, remodel, load (ETL) processes and allows sooner time to insights. Mirroring additional reduces your general whole price of possession with zero compute and storage prices to duplicate, serving to you shortly and cost-effectively reply to modifications in your small business. 

With Azure Cosmos DB Mirroring in Microsoft Cloth, you may seamlessly carry your Azure Cosmos DB knowledge into OneLake in Microsoft Cloth with no-ETL and close to real-time insights in your operational knowledge, permitting you to react extra shortly to modifications in your small business surroundings and market situations. 

Microsoft Azure Database for PostgreSQL: New AI capabilities in Azure AI extension and new migration service 

The Azure AI extension in public preview now consists of real-time predictions to invoke machine studying fashions hosted on Microsoft Azure Machine Studying on-line endpoints. That is extraordinarily useful for constructing fraud detection in banking, product suggestions in retail, affected person predictions in healthcare, and extra. Additionally new is real-time textual content translation utilizing Microsoft Azure AI Translator to translate textual content from inside SQL. This facilitates constructing clever multilingual functions on Azure Database for PostgreSQL. It additionally helps mechanically detecting the language of the enter textual content and filtering profanities.  

A new migration service now typically out there simplifies the method of shifting PostgreSQL databases from wherever to Azure. The service presents each offline and on-line migration choices from an on-premises server, AWS RDS for PostgreSQL, Azure Digital Machines (VMs), and Azure Database for PostgreSQL—Single Server. The service helps clients transfer to Azure Database for PostgreSQL—Versatile Server with ease and confidence. 

Microsoft Defender for Cloud now helps Azure Database for MySQL—Versatile Server 

Defend databases from threats with out affecting efficiency or availability, and decrease the chance of knowledge breaches, assaults, and unauthorized entry with safety monitoring of anomalous or suspicious actions. Clients can simply allow Defender for Cloud from the Azure Portal to begin getting safety alerts and insights for Azure Database for MySQL—Versatile Server and obtain suggestions to mitigate doubtlessly dangerous threats. Study extra about Defender for Cloud

Healthcare knowledge options in Microsoft Cloth in public preview 

The healthcare knowledge options present knowledge fashions and transformation actions that assist clients create a multi modal warehouse. It allows clients to align with {industry} requirements, equivalent to Quick Healthcare Interoperability Assets (FHIRs) and Digital Imaging and Communications in Medication (DICOM), and helps compliance with rules, such because the Well being Insurance coverage Portability and Accountability Act of 1996 (HIPAA) and Normal Information Safety Regulation (GDPR). Study extra about healthcare knowledge options.

Empowering AI globally with investments in Japan and United Arab Emirates, a brand new AI Hub in London, and a world partnership with Cognizant 

Microsoft will make investments USD2.9 billion over the subsequent two years to extend our hyperscale cloud computing and AI infrastructure in Japan. We will even increase our digital skilling packages, open our first Microsoft Analysis Asia lab in Japan, and deepen our cybersecurity collaboration with the Authorities of Japan. 

We’re investing USD1.5 billion in Abu Dhabi’s G42 to speed up AI improvement and world growth, and to strengthen our collaboration on bringing the newest Microsoft AI applied sciences and skilling initiatives to the United Arab Emirates and different international locations around the globe. 

Microsoft AI Chief Govt Officer Mustafa Suleyman introduced Microsoft AI is opening a brand new AI hub within the coronary heart of London. Microsoft AI London will drive pioneering work to advance state-of-the-art language fashions and their supporting infrastructure, and to create world-class tooling for basis fashions, collaborating carefully with our AI groups throughout Microsoft and with our companions, together with OpenAI. 

Cognizant and Microsoft are increasing our partnership to combine Microsoft’s generative AI and Microsoft Copilot into Cognizant’s digital transformation providers. With a big funding in generative AI, the partnership is about to drive AI adoption and create industry-specific options, whereas upholding moral AI requirements. The initiative additionally consists of in depth coaching for Cognizant builders and the deployment of Microsoft Copilot for Microsoft 365 to an enormous consumer base.  

Study one thing new 

Microsoft Study helps handle the AI expertise hole 

With greater than 6 million individuals globally engaged with AI studying, Microsoft Study is your AI skill-building associate in addressing the AI expertise hole. We designed a easy framework that can assist you chart your personal course for constructing the mandatory AI expertise to appreciate the worth of the Microsoft platform. Study extra with the “Speed up AI transformation with ability constructing” place paper. For extra, see the weblog from Kim Akers, Company Vice President, Enablement and Operations for Microsoft Buyer and Accomplice Options, on learn how to remodel your small business with AI ability constructing on Microsoft Study

The way to customise your generative AI mannequin 

There are three key strategies to customizing a LLM: immediate engineering, RAG, and fine-tuning. On this weblog, you’ll discover ways to:  

  • Optimize prompts to make sure a mannequin produces extra correct responses.  
  • Retrieve data from exterior sources for higher accuracy. 
  • Educate a mannequin new expertise and duties. 
  • Educate a mannequin new data from a customized dataset. 

LLMOps Maturity Mannequin Evaluation and framework, plus new educational video collection 

LLMOps describes the operational practices and methods for managing LLMs in manufacturing. Unsure what your group’s LLMOps maturity stage is? Take a 10-minute evaluation to search out out. Then get steerage on learn how to advance your capabilities in LLMOps based mostly in your group’s maturity stage.  

There are quite a lot of intricacies concerned in constructing techniques that use LLMs: choosing simply the proper fashions, orchestrating LLM flows, and monitoring them utilizing accountable AI toolchains. LLMOps is greater than know-how or product adoption. It’s a confluence of the individuals engaged, the processes used, and the merchandise applied. In a new educational video collection, we are going to discover the idea of LLMOps in depth, alongside introducing the newest Azure AI instruments designed to facilitate the adoption of strong LLMOps practices for enterprises. 

New weblog: Enhancing Azure Capabilities chilly begins 

Our new weblog, “The way to Conquer Chilly Begins for Higher Efficiency” is now dwell on The New Stack, the platform for the newest information and sources for cloud native applied sciences. Talent-up at no cost on leveraging AI with cloud-native and serverless applied sciences on Azure.

Insights Tomorrow: A podcast for knowledge lovers 

Insights Tomorrow options in-depth conversations with knowledge leaders and specialists in regards to the revolutionary journeys they’re taking on this planet of knowledge, analytics, and governance. Be a part of host Patrick LeBlanc to discover how unlocking worth from knowledge is trailblazing the best way to digital transformation. 

Clients innovating with generative AI  

MultiChoice boosts consumer satisfaction with Azure Machine Studying and Microsoft Azure Databricks 

Have you ever ever wished for a viewing expertise that is aware of your style higher than you do? MultiChoice, Africa’s premier leisure vacation spot, has made {that a} actuality with Azure Machine Studying. Customers get pleasure from extremely personalised suggestions that cater to their tastes, making each view rely. As MultiChoice is making the viewing expertise higher, smarter, and extra pleasing, it has seen a outstanding uptake in consumer engagement and satisfaction. 

Nexi makes use of Microsoft Azure App Service to modernize its FinTech apps to offer a customized cost answer to clients 

Nexi is a European PayTech firm that helps its clients pay and settle for digital funds by means of a whole and personalised vary of easy, intuitive, and safe options. To simplify transactions and empower individuals and companies to get pleasure from nearer relationships and prosper collectively, Nexi wanted a unified answer with extra flexibility to permit its builders to spend a lot much less time on infrastructure actions and supply extra worth on delivering merchandise. Working with Microsoft and cVation, Nexi moved ahead to implement app modernization and transformation

Coles accelerates from month-to-month to weekly utility deployments with Azure 

Coles, which operates greater than 800 shops in Australia, wanted to modernize its know-how to fulfill rising buyer demand for an omnichannel expertise that served them equally nicely in retailer and on-line. Within the extremely aggressive grocery enterprise, meaning quickly evolving in response to buyer enter. Coles gained wonderful effectivity with Azure DevOps, shifting from month-to-month to weekly deployments, decreasing construct occasions, and enabling fast deployment of modifications to manufacturing. The client expertise is additional optimized with Azure Cosmos DB, which supplies an aggregated view throughout channels to allow additional buyer insights, permitting Coles to offer an much more custom-made expertise. 

Alternatives to attach 

Construct multimodal apps with Microsoft and win at Microsoft Generative AI Hackathon—now by means of Could 6, 2024

Do you need to discover ways to use Azure AI and GitHub Copilot to construct multimodal apps that mix textual content, picture, video, or voice inputs and outputs for a huge impact? Do you need to win money prizes, Azure credit, and recognition in your work? Should you answered sure to any of those questions, then it’s best to be part of us for the Microsoft Generative AI Hackathon, an internet problem the place you should utilize your expertise to create thrilling generative AI options. 

Microsoft Construct—Could 21 to 23, 2024 

Develop the AI expertise wanted for tomorrow, immediately. At Microsoft Construct 2024, you’ll study from in-demand specialists, expertise the newest improvements in breakouts, and make connections with a neighborhood that may assist you to obtain extra. Register for Construct

Microsoft Builders AI Studying Hackathon, win as much as $10,000 in prizes! Now by means of June 17, 2024

This hackathon challenges you to push the boundaries of what’s attainable by constructing your very personal AI app utilizing Azure Cosmos DB for MongoDB. Focusing on each Node.js and Python builders, the hackathon guides you thru complete studying to delve into the basics of AI apps— and also you may win as much as $10,000 in prizes. By the tip of the hackathon, you’ll know learn how to construct your very personal customized AI copilot with Azure Cosmos DB for MongoDB. Get began now

Azure Cosmos DB Conf 2024 out there on-demand 

Missed the joy and innovation-packed Azure Cosmos DB Convention in April? No worries, we’ve bought you coated! The occasion introduced collectively the sharpest minds within the {industry}, together with product leaders, chief technical officers, and neighborhood members who shared insights on constructing groundbreaking generative AI functions powered by Azure Cosmos DB. Whether or not you missed a bit of or missed all of it, catch the replays on-demand

Microsoft’s AI Classroom Hackathon winners 

Microsoft’s AI Classroom Hackathon winners have been chosen from greater than 3,700 college students from over 100 international locations, collaborating in Microsoft’s name to construct the subsequent technology of clever functions that reimagine the way forward for training utilizing Azure AI and Azure databases. Among the many winners is Dialogues By Time, that lets you have interactive AI-driven dialogues with historic figures like Socrates and Leonardo DaVinci. Additionally, EquEdu, an AI-powered content material accessibility device that makes on-line academic content material accessible for the visually impaired. Plenty of inspirational concepts right here—take a look at the winners and their tasks. 


What’s new?  

Jessica shares insights on know-how transformation together with necessary updates and sources in regards to the knowledge, AI, and digital utility options that make Microsoft Azure the platform for the period of AI. Discover Jessica’s weblog posts right here and be sure you comply with Jessica on LinkedIn



RELATED ARTICLES

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Most Popular

Recent Comments