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This can be a collaborative put up from Databricks and Microsoft. We thank Mohini Verma, Senior Product Advertising and marketing Supervisor, for her contributions.
Knowledge + 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 Knowledge + AI Summit 2024, the premier occasion for the worldwide knowledge neighborhood. Be part of us to learn the way knowledge intelligence allows each group to harness the facility of generative AI on their very own knowledge. Hear from Microsoft leaders who will share how prospects have efficiently leveraged the Databricks Knowledge Intelligence Platform on Azure for his or her enterprise, integrating knowledge, AI, and analytics on one frequent platform.
At Knowledge + AI Summit, attendees may 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 Periods. Come pay attention and be taught in regards to the newest improvements and applied sciences, and listen to thought-provoking discussions together with the flexibility for networking alternatives the place you may join with different knowledge professionals in your business.
The periods beneath are a information for everybody enthusiastic about Azure Databricks and span a spread of subjects—from scaling real-time knowledge processing in healthcare to implementing confidential computing and leveraging multi-cloud analytics methods. You probably have questions on Azure Databricks or service integrations, join with Azure Databricks specialists at Knowledge + AI Summit on the Microsoft sales space #119 on the Expo flooring.
Microsoft Buyer Breakout Periods
Scaling Actual-Time Healthcare Knowledge 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 every day affected person transactions. The Digital Well being Document Modernization Knowledge Syndication initiative goals emigrate VA knowledge to the cloud with improved knowledge accessibility and evaluation capabilities. Central to the initiative’s success is the usage of Azure Databricks and its Lakehouse structure. The challenge options strong pipelines that ingest tons 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 help care supply use instances. Vital optimization methods akin to Change Knowledge 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. Advisor, Microsoft
- Spencer Schaefer, Chief AI Officer VISN 15, U.S. Division of Veteran Affairs
Microsoft-Led Breakout Periods
Powering Scalable Analytics and AI with Azure Knowledge Lake Storage
Wednesday, June 12, 2024, 12:30 PM – 1:10 PM
Standard AI fashions predict outcomes by analyzing knowledge, whereas Generative AI (Gen AI) and enormous 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 affords scalable, safe cloud storage that integrates with business main analytics engines akin to Azure Databricks and Microsoft Cloth 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 Knowledge Lake Storage (ADLS) with analytics engines of their alternative for duties like knowledge cleaning and curation inside Spark pipelines for Large Knowledge Analytics. You’ll uncover how this curated knowledge can then be accessed by knowledge science and enterprise intelligence groups and will be offered 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 operating 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 part of us for an insightful session as we discover the highly effective mixture of Azure Databricks and Confidential Computing. Azure Databricks affords a collaborative workspace tailor-made for knowledge groups, seamlessly integrating with Azure infrastructure companies, and facilitating your entire 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 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
Associate-Led Breakout Periods
Sponsored by: KPMG | Better of Each Worlds: Microsoft Cloth & Databricks for Multi-Cloud Analytics
Thursday, June 13, 2024, 11:20 AM – 12:00 PM
This session will talk about how enterprises can leverage the strengths of Microsoft Cloth and Databricks to realize the most effective by combining the “Multi-Cloud” and “Any Cloud” analytics methods. Cloth supplies 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 affords cloud-agnostic “compute anyplace” knowledge processing and mannequin constructing: making certain compute stays inside a particular atmosphere, avoiding vendor lock-in, whereas offering a safe mannequin IP growth 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 atmosphere and talk about 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 flooring, the place you will get to speak 1:1 with Microsoft Azure specialists on tips on how to tackle your crucial enterprise precedence use instances with Azure Databricks.
Register now to affix this occasion and develop 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 Knowledge + AI neighborhood on the 2024 Summit and unlock the facility of information, analytics, and AI with Azure Databricks.
For extra particulars on the periods and audio system, go to the Knowledge + AI Summit 2024 homepage.
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