What’s new in Azure Information & AI: Empowering retailers to streamline operations and speed up time to worth | Azure Weblog and Updates

What’s new in Azure Information & AI: Empowering retailers to streamline operations and speed up time to worth | Azure Weblog and Updates
What’s new in Azure Information & AI: Empowering retailers to streamline operations and speed up time to worth | Azure Weblog and Updates

The brand new yr brings alternative for considerate reflection concerning the previous yr, each personally and professionally. 2022 was a yr of firsts for me—first time having clam chowder at Pike Place Market as an area, first time going looking for heels with my daughter, and first time delivering an Azure keynote at Encourage as a Microsoft worker when pre-COVID-19, I used to be a Accomplice listening within the viewers. And right here is one other first; the beginning of a brand new weblog collection the place I plan to share extra about noteworthy and provoking information and AI improvements we’re releasing throughout Microsoft. Given the National Retail Federation’s Big Show this week, I’ll additionally spotlight how these improvements impression retail.

Let’s discover what’s new for Azure Information & AI this month:

Microsoft underscores resilient retail at NRF

A bellwether for financial and societal developments, the retail trade continues to be on the entrance line of adaptive innovation. And relatively than attempting to foretell the longer term, retailers are working to attain better enterprise agility essential to thrive in it. Which means that, like Majid Al Futtaim Retail, they automate tedious processes so workers can concentrate on higher-value duties. Like Grupo Bimbo, they unify disparate information factors in actual time in order that workers can entry a central supply of fact when and the place they want it. And, like CCC Group, they keep laser-focused on delivering differentiated buyer experiences to construct loyal followers. Throughout every of those organizations, information is seen as an accelerant for development, powering extra personalised buyer experiences, cost-efficient provide chains, and proactive responses to market developments.

Enterprise agility requires individuals, processes, and applied sciences to work in concord, and to align on how huge quantities of information are managed, analyzed, and actioned to answer market calls for. More and more, these efforts concentrate on driving sustainable development that limits carbon emissions, for instance through the use of machine studying to extra precisely forecast demand to cut back extra stock and waste.

We all know cloud applied sciences like databases, containers, and AI can allow extra correct choices, however it may be difficult to make sure these applied sciences communicate to one another in the proper method on the proper time on a world scale. That is the place Azure and the Microsoft Clever Information Platform—the outline we use to discuss with all the Information & AI Azure services we provide shine. With managed databases like Cosmos DB, analytics providers like Azure Synapse, and main AI choices, retailers can make the most of the “by design” integration the Microsoft Clever Information Platform gives, which suggests they can make investments extra time in creating worth relatively than integrating and managing their information property.

The Microsoft Clever Information Platform got here to life by way of new immersive demo experiences this yr at NRF and I’m going to briefly spotlight what we showcased on the convention. Earlier this week at NRF, Microsoft’s Alysa Taylor and Shelley Bransten spoke on the subject of Resilient Retail and shared examples of organizations digitizing their companies to do extra with much less. You possibly can learn extra about their talks on our Industry blog.

Microsoft additionally met with prospects at our NRF sales space to debate methods for making sense of all their information. For instance, these two demos spotlight how tight integrations between information, analytics, and AI might help make resilient retail a actuality.

Broad World Importers (WWI), a world grocery store chain, desires to maximise the worth of their information property. Through the use of Azure Synapse pipelines with Cosmos DB, they get actual time insights that are routinely shared with the proper choice makers by way of instruments like Azure Data Explorer and Power BI. They’re capable of monitor their provide chain information in actual time and use predictive AI to cut back prices. They’re additionally capable of govern their information property from a single utility one pane of glass utilizing Microsoft Purview.

Subsequent, Broad World Importers faucets into the ability of Azure AI to construct a extra related buyer expertise. They use Azure Form Recognizer to detect and redeem promotional gives. Azure Cognitive Search helps prospects discover product data extra rapidly by recognizing their search intent and helps WWI ship extra personalised suggestions. Pre-built AI capabilities, corresponding to speech recognition and pc imaginative and prescient, additionally differentiate the procuring expertise and supply a extra accessible circulation.

The final availability of Azure OpenAI Service 

As Eric Boyd talked about in his weblog, we introduced the final availability of Azure OpenAI Service as a part of our ongoing partnership with OpenAI. Azure OpenAI Service supplies a commercialization platform for companies to leverage superior AI fashions like GPT-3.5, Codex, and DALL*E to create progressive functions. Clients of all sizes throughout industries are utilizing Azure OpenAI Service to do extra with much less, enhance experiences for finish customers, and streamline operational efficiencies. 

Microsoft Accountable AI Dashboard now obtainable

The digitization of retail permits retailers to fulfill buyer expectations with rising precision, from offering personalized suggestions on-line to restocking stock based mostly on computer vision in bodily shops. Consumers count on the expertise behind their retail expertise to use information and AI responsibly. In December, we started rolling out our new Responsible AI dashboard in Azure Machine Studying, which incorporates capabilities like equity evaluation, interpretability, error evaluation, and causal inferencing. And right now, we’re excited to announce the final availability of the Microsoft Accountable AI dashboard. Retailers can leverage the Accountable AI dashboard to optimize the patron’s expertise in addition to construct belief and optimistic notion for his or her manufacturers.

See how one can learn more about Responsible AI.

Full textual content search capabilities come to Azure Cosmos DB for Apache Cassandra

Azure Cosmos DB has seen super momentum throughout the retail trade, given its capability to routinely and immediately scale when site visitors is unpredictable with out sacrificing efficiency or value effectivity. Microsoft runs each the Home windows retailer and Xbox Stay on Azure Cosmos DB for this very objective. This month, we’re saying a number of efficiency enhancements to Azure Cosmos DB to make it simpler and quicker for builders to question information shops in Azure Cosmos DB. These embrace the flexibility to do full textual content searches in Azure Cosmos DB for Apache Cassandra by way of a local integration with Azure Cognitive Search, and assist for GraphQL and REST by way of Information API builder.

For extra technical element about these and different updates to Azure Cosmos DB, visit our developer blog.

JSON assist for Azure Cache for Redis Enterprise typically obtainable

Assist for JSON paperwork in Azure Cache for Redis Enterprise tiers, delivered by way of the RedisJSON module, has been made typically obtainable as of November 2022. This turns Azure Cache for Redis Enterprise right into a high-performance NoSQL doc retailer and drives effectivity for builders to modernize their functions. The brand new RedisJSON module replace is nicely suited to retail prospects trying to retailer, search, and index product catalogs and shopper information by way of a single atomic operation.

To be taught extra on Azure Cache for Redis Enterprise and the RedisJSON module please check out the blog.

Microsoft named a Chief within the 2022 Gartner Magic Quadrant for Perception Engines

In December, Microsoft was named a pacesetter within the 2022 Gartner Magic Quadrant for Perception Engines, which evaluates the capabilities of assorted distributors out there for offering enterprise-scale seek for app improvement. Organizations profit, regardless of the trade, however Cognitive Search is an exceptionally highly effective software for retailers, serving to them to rapidly discover and analyze information associated to buyer conduct, gross sales, and stock. It can be used to personalize the procuring expertise for particular person prospects based mostly on their previous interactions and preferences.

Be taught extra and download the report.

Clients innovating with Azure Information & AI

I’d like to shut my inaugural “what’s new” weblog put up with my favourite method of constructing all the pieces I’ve coated above actionable—by sharing examples of our prospects succeeding. I share them as a method of serving to spark the understanding—possibly even a bit of creativeness—in order that others can higher envision how this wonderful new Information & AI expertise can be utilized in their very own organizations.

I hope you loved studying this month’s version of what’s new in Azure Information & AI. We stay up for sharing extra insights and inspiration within the months forward.








Picture4

Grupo Bimbo transforms the information evaluation of economic areas with Microsoft Options


Mexico—The worldwide baking firm carries out a whole lot of 1000’s of transactions globally and wanted a method for collaborators to rapidly entry and act on insights to enhance gross sales. By adopting Energy BI and Azure Synapse, Grupo Bimbo was capable of unify inner and exterior information, enhance enterprise agility, and democratize insights for elevated productiveness throughout the group. Read the full Case Study.

Picture5

How on-line market CDON used AI to turn out to be a market chief


Sweden—CDON started as a small on-line retailer of CDs, DVDs, and video games and rapidly turned the Nordic’s largest on-line market. When CDON realized legacy applied sciences have been holding it again, the corporate seemed to Azure to speed up its innovation and scale. Now their builders use Azure Cognitive Search, Azure DevOps, and different providers to raised perceive the person expertise on their web site and enhance personalization for higher efficiency. Read the full CDON Case Study.

Picture6

How AEON Group elevated earnings and maximized stock with information and AI


Japan—Since opening its first retailer in December 2005, Maibasuketto, a member of the AEON Group’s grocery store enterprise, has expanded its footprint at a tempo of 100 shops yearly. To make sure its development was sustainable, the corporate launched into an initiative to optimize retailer ordering and operations utilizing Azure Cognitive Providers, maximizing provide chain and stock based mostly on promoting patterns all through the day.

Picture7

How Fashable reimagines style design with Azure Machine Studying and PyTorch


Portugal—Utilizing Azure Machine Studying, Fashable created an AI utility that generates unique clothes designs to rapidly get a pulse on shopper preferences. This helps style corporations perceive buyer demand, get to market quicker, and scale back clothes waste by solely producing what they know will promote. Read the full Fashable Case Study.

Picture8

WTW accelerates supply time with Azure Migration and Analytics


United Kingdom—Working in additional than 140 nations with over 40,000 workers, Willis Towers Watson (WTW) has many years of expertise working with the world’s largest loyalty applications. To effectively govern the exponential development in information for these applications and apply improvements in superior analytics and AI, WTW moved its workload to Azure. Now their workers have extra time to concentrate on uncovering insights for purchasers. Read the full WTW Case Study.