This can be a collaborative publish from Databricks and Microsoft. We thank Mohini Verma, Senior Product Advertising Supervisor, for her contributions.
Information + AI Summit 2024: Register now to affix this in-person and digital occasion June 10-13 and be taught from the worldwide knowledge neighborhood.
Microsoft is a Legend Sponsor of the Databricks Information + AI Summit 2024, the premier occasion for the worldwide knowledge neighborhood. Be part of us to find out how knowledge intelligence permits each group to harness the ability of generative AI on their very own knowledge. Hear from Microsoft leaders who will share how prospects have efficiently leveraged the Databricks Information Intelligence Platform on Azure for his or her enterprise, integrating knowledge, AI, and analytics on one widespread platform.
At Information + AI Summit, attendees can have the chance to listen to from Microsoft knowledge 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 concerning the newest improvements and applied sciences, and listen to thought-provoking discussions together with the power for networking alternatives the place you possibly can join with different knowledge professionals in your business.
The classes under are a information for everybody interested by Azure Databricks and span a variety of subjects—from scaling real-time knowledge processing in healthcare to implementing confidential computing and leveraging multi-cloud analytics methods. When you have 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 Actual-Time Healthcare Information 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 data of day by day affected person transactions. The Digital Well being File Modernization Information Syndication initiative goals emigrate VA knowledge to the cloud with improved knowledge accessibility and evaluation capabilities. Central to the initiative’s success is using Azure Databricks and its Lakehouse structure. The mission options sturdy pipelines that ingest lots of of terabytes of historic knowledge into ADLS and employs structured streaming for real-time incremental knowledge processing of 1,000+ tables, refreshing each 5 seconds. This streaming knowledge is then shared with downstream customers to assist care supply use instances. Important optimization methods equivalent 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 Information Lake Storage
Wednesday, June 12, 2024, 12:30 PM – 1:10 PM
Typical AI fashions predict outcomes by analyzing knowledge, whereas Generative AI (Gen AI) and huge language fashions (LLMs) generate solely new outputs. Scaling mannequin constructing and inferencing pose challenges in sustaining precision, governance, and safety for customer-facing functions. Azure Storage provides scalable, safe cloud storage that integrates with business main analytics engines equivalent to Azure Databricks and Microsoft Material to supply a unified analytics platform for knowledge engineering, knowledge science, and machine studying.
Be 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 knowledge cleaning and curation inside Spark pipelines for Huge Information Analytics. You’ll uncover how this curated knowledge can then be accessed by knowledge science and enterprise intelligence groups and will 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 the moment.
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 part of us for an insightful session as we discover the highly effective mixture of Azure Databricks and Confidential Computing. Azure Databricks provides a collaborative workspace tailor-made for knowledge groups, seamlessly integrating with Azure infrastructure companies, and facilitating the whole knowledge lifecycle. Furthermore, our dialogue will spotlight the pivotal function of Confidential Computing in safeguarding delicate knowledge inside hardware-based trusted execution environments, making certain knowledge integrity and privateness. We are going to discover the cutting-edge options of Confidential VMs, which improve visitor safety with out necessitating adjustments to software code, all powered by AMD SEV-SNP expertise. Lastly, get an unique sneak peek into the roadmap forward, together with upcoming assist for Intel Confidential VMs on Azure Databricks and enlargement plans for Confidential VM availability throughout varied areas.
Audio system:
- Lindsey Allen, GM Azure Databricks, Microsoft
Companion-Led Breakout Classes
Sponsored by: KPMG | Better of Each Worlds: Microsoft Material & 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 Material and Databricks to attain one of the best by combining the “Multi-Cloud” and “Any Cloud” analytics methods. Material gives a centralized knowledge functionality throughout on-premises and cloud sources whereas benefiting from the full-features of Microsoft 365, the co-pilot ecosystem, and OpenAI. Databricks provides cloud-agnostic “compute anyplace” knowledge processing and mannequin constructing: making certain compute stays inside a selected surroundings, avoiding vendor lock-in, whereas offering a safe mannequin IP improvement platform. We are going to discover how crucial capabilities of Delta Sharing and Unity Catalog allow governance of information, ML fashions, and GenAI throughout this surroundings 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 easy methods to handle your crucial enterprise precedence use instances with Azure Databricks.
Register now to affix this occasion and change into a part of the information and AI neighborhood. Learn the way corporations are constructing their lakehouse structure with Azure Databricks, making a unified, open, and scalable knowledge platform. Get began with Azure Databricks with a free trial.
Be part of the Information + AI neighborhood on the 2024 Summit and unlock the ability of information, analytics, and AI with Azure Databricks.
For extra particulars on the classes and audio system, go to the Information + AI Summit 2024 homepage.