It is a collaborative submit from Databricks and Microsoft. We thank Mohini Verma, Senior Product Advertising and marketing Supervisor, for her contributions.
Information + AI Summit 2024: Register now to hitch this in-person and digital occasion June 10-13 and be taught from the worldwide information neighborhood.
Microsoft is a Legend Sponsor of the Databricks Data + AI Summit 2024, the premier occasion for the worldwide information neighborhood. Be a part of us to find out how information intelligence permits each group to harness the facility of generative AI on their very own information. Hear from Microsoft leaders who will share how prospects have efficiently leveraged the Databricks Data Intelligence Platform on Azure for his or her enterprise, integrating information, AI, and analytics on one frequent platform.
At Information + AI Summit, attendees may have the chance to listen to from Microsoft information leaders sharing their insights on Tuesday, June eleventh, Wednesday, June twelfth, and Thursday June thirteenth throughout Microsoft, buyer, and partner-led Breakout Classes. Come pay attention and be taught in regards to the newest improvements and applied sciences, and listen to thought-provoking discussions together with the power for networking alternatives the place you’ll be able to join with different information professionals in your business.
The periods beneath are a information for everybody serious about Azure Databricks and span a spread of subjects—from scaling real-time information processing in healthcare to implementing confidential computing and leveraging multi-cloud analytics methods. When you’ve got questions on Azure Databricks or service integrations, join with Azure Databricks specialists at Information + AI Summit on the Microsoft sales space #119 on the Expo ground.
Microsoft Buyer Breakout Classes
Scaling Real-Time Healthcare Data Processing for the Veterans Affairs
Wednesday, June 12, 2024, 5:10 PM – 5:50 PM
The Division of Veterans Affairs (VA), the U.S.’s largest well being care system, helps over 9 million veterans throughout 172 medical facilities and 1,200 clinics. VA averages 40-60 million information of each day affected person transactions. The Digital Well being File Modernization Information Syndication initiative goals emigrate VA information to the cloud with improved information accessibility and evaluation capabilities. Central to the initiative’s success is the usage of Azure Databricks and its Lakehouse structure. The undertaking options strong pipelines that ingest lots of of terabytes of historic information into ADLS and employs structured streaming for real-time incremental information processing of 1,000+ tables, refreshing each 5 seconds. This streaming information is then shared with downstream customers to help care supply use circumstances. Important optimization methods comparable to Change Information Feed, Predictive IO, and Photon have decreased ETL time by over 85%, empowering the VA to ship agile and responsive care to veterans.
Audio system:
- Kash Sabba, Sr. Guide, Microsoft
- Spencer Schaefer, Chief AI Officer VISN 15, U.S. Division of Veteran Affairs
Microsoft-Led Breakout Classes
Powering Scalable Analytics and AI with Azure Data Lake Storage
Wednesday, June 12, 2024, 12:30 PM – 1:10 PM
Standard AI fashions predict outcomes by analyzing information, whereas Generative AI (Gen AI) and enormous language fashions (LLMs) generate totally new outputs. Scaling mannequin constructing and inferencing pose challenges in sustaining precision, governance, and safety for customer-facing purposes. Azure Storage presents scalable, safe cloud storage that integrates with business main analytics engines comparable to Azure Databricks and Microsoft Cloth to supply a unified analytics platform for information engineering, information science, and machine studying.
Be a part of us for an in-depth session, we’ll delve into the underlying storage structure that allows hyper-scale workloads to make the most of Azure Information Lake Storage (ADLS) with analytics engines of their selection for duties like information cleaning and curation inside Spark pipelines for Massive Information Analytics. You’ll uncover how this curated information can then be accessed by information science and enterprise intelligence groups and could be supplied to machine studying groups for additional coaching of GPT-X fashions. We are going to showcase architectural patterns, real-world workload efficiency, and storage behavioral traits of workloads working at scale on Azure Storage at this time.
Audio system:
- Jeff King, Principal Program Supervisor, Microsoft
- Saurabh Sensharma, Principal Product Supervisor, Azure Storage, Microsoft
Confidential Computing in Azure Databricks
Thursday, June 13, 2024, 12:30 PM – 1:10 PM
Be a part of us for an insightful session as we discover the highly effective mixture of Azure Databricks and Confidential Computing. Azure Databricks presents a collaborative workspace tailor-made for information groups, seamlessly integrating with Azure infrastructure providers, and facilitating the whole information lifecycle. Furthermore, our dialogue will spotlight the pivotal function of Confidential Computing in safeguarding delicate information inside hardware-based trusted execution environments, guaranteeing information integrity and privateness. We are going to discover the cutting-edge options of Confidential VMs, which improve visitor safety with out necessitating modifications to software code, all powered by AMD SEV-SNP know-how. Lastly, get an unique sneak peek into the roadmap forward, together with upcoming help for Intel Confidential VMs on Azure Databricks and growth plans for Confidential VM availability throughout numerous areas.
Audio system:
- Lindsey Allen, GM Azure Databricks, Microsoft
Accomplice-Led Breakout Classes
Sponsored by: KPMG | Best of Both Worlds: Microsoft Fabric & Databricks for Multi-Cloud Analytics
Thursday, June 13, 2024, 11:20 AM – 12:00 PM
This session will focus on how enterprises can leverage the strengths of Microsoft Cloth and Databricks to attain the perfect by combining the “Multi-Cloud” and “Any Cloud” analytics methods. Cloth offers a centralized information functionality throughout on-premises and cloud sources whereas benefiting from the full-features of Microsoft 365, the co-pilot ecosystem, and OpenAI. Databricks presents cloud-agnostic “compute wherever” information processing and mannequin constructing: guaranteeing compute stays inside a selected setting, avoiding vendor lock-in, whereas offering a safe mannequin IP improvement platform. We are going to discover how vital capabilities of Delta Sharing and Unity Catalog allow governance of knowledge, ML fashions, and GenAI throughout this setting and focus on first-hand learnings from harmonizing these platforms at KPMG.
Audio system:
- Sreekar Krishna, Principal, Advisory, KPMG LLP
- Tom Haslam, Principal, KPMG
We additionally invite you to go to the Microsoft sales space on the Expo ground, the place you may get to speak 1:1 with Microsoft Azure specialists on the best way to handle your vital enterprise precedence use circumstances with Azure Databricks.
Register now to hitch this occasion and turn into a part of the info and AI neighborhood. Find out how firms are constructing their lakehouse structure with Azure Databricks, making a unified, open, and scalable information platform. Get began with Azure Databricks with a free trial.
Be a part of the Information + AI neighborhood on the 2024 Summit and unlock the facility of knowledge, analytics, and AI with Azure Databricks.
For extra particulars on the periods and audio system, go to the Data + AI Summit 2024 homepage.
