2023年數據和人工智能峰會（data+ai summit2023）演講PPT合集（共64套打包）

1、Databricks2023Jason XuData Warehouse Infra TeamZoe LinData Warehouse Infra TeamAutomate Apache Spark 3 Migration w/Validation at Airbnb AgendaOverview:Spark at AirbnbSpark 3 Migration ChallengesMigra。

2、Start from scratch valueLeveraging Foundational Models to Rapidly Scale Applied AI OutcomesNick King,Founder/CEO Data K35%of projects miss expectations.90%of S&P 500 companies now publish ESG rep。

3、Wrangling Your Security Data:Cybersecurity As A Data Management ProblemJacolon WalkerCo-founder,CTO,MonadDatabricks2023Today,the average Fortune 500 enterprise manages 40+cybersecurity vendorsEach to。

4、Demystifying Arbitrary Stateful OperationsTaking the fear out of flatMapGroupsWithStateand applyInPandasWithStateAngela Chu,Databricks Sr.Solution Architect/Streaming SMEDatabricks2023My source data 。

5、Billions of Websites in One PlatformScaling out Advertising at The Trade DeskDr.Xuefu Wang The Trade DeskMark Lee DatabricksDatabricks2023Mark LeeSr.Specialist Solutions ArchitectXuefu WangSr.Data Sc。

6、JoinBoost:Tree Models on DB with only SQLSpeaker:Zachary Huang1Contributors:Rathijit Sen2,Jiaxiang Liu1,Pavan Kalyan Damalapati1,Weisheng Wang1,Matthew Schoenbauer1,Eugene Wu11 Columbia University,2 。

7、HOW HOW T T-MOBILEMOBILE ARTICULATED THE BENEFIT ARTICULATED THE BENEFIT OF A MODERN DATA PLATFORMOF A MODERN DATA PLATFORMThe Value of the The Value of the LakehouseLakehouseC O N F I D E N T I A L2。

8、Matt KroonVP of Enterprise,ToptalChristina TaylorData and ML Ops EngineerToptal Enables Data Streaming Within Multi-Cloud StrategiesFireside Chat:Toptal Automates Data Analysis with Alteryx Confident。

9、Unity Catalog,Delta Sharing and Data Mesh on Databricks LakehouseThomas RoachSurya Sai TuragaDatabricks2023Current state of data in an enterpriseData distributed in many different systemsEach use-cas。

10、Sandy Ryza(s_ryz)Lead Engineer,Dagster Project-ElementlAsset-Based Data OrchestrationData practitioners build and maintain data pipelinesWhats a data pipeline?Data AssetComputationData AssetComputati。

11、Accelerating the Development of Viewership Personas with a Unified Feature StoreDIRECTVMalav Shah and Taylor HosbachDatabricks202322023 DIRECTV.DIRECTV and all other DIRECTV marks are trademarks of D。

12、Revolutionize your Customer Engagement With First Party Customer DataDatabricks2023Hello Im Yali!Data enthusiast Worked in data all my career Back in 2012 I got very excited about the possibilities a。

13、Real-time building occupancy modellingUsing DLT and Cisco Spaces Meta APIPaul MracekSolutions ArchitectDatabricksExperimenting with occupancy during early COVID days.1_DAIS_Title_SlideOccupancy in bu。

14、Top Mistakes to Avoid in Streaming ApplicationsVikas Reddy Aravabhumi,Staff Backline Engineer,DatabricksDatabricks2023Job Title:Staff Backline EngineerEmployment:Databricks(Since Nov 2019)Areas of Ex。

15、Don Bosco DuraiCo-founder&CTOApplying Advanced Data Security Governance with Databricks Unity Catalog Agenda 2023 Privicera.Confidential.All Rights Reserved.010203Databricks Unity Catalog-Overvie。

16、Leveling Up SQL Transformations in the Lakehouse with dbtData+AI Summit 2023June 28,2023Agenda1Intro4DemoSee dbt+Databricks in action!2BackgroundQuick overview of dbt and the SQL persona in Databrick。

17、Realistic bird studies,intricate psychedelic landscapeBuilding a Multimodal Future Open Ecosystems and Data at PlayPROPRIETARY&CONFIDENTIAL2Stability AI is a leader in open source generative AIPR。

18、Why Delta Lake is the best storage format for pandasMatthew Powers,CFADatabricks-Delta LakeDeveloper Advocate at DatabricksWorked in finance for 5 years before programmingRuby/Rails web dev=data engi。

19、 2023 Nielsen Consumer LLC.All Rights Reserved.2023 Nielsen Consumer LLC.All Rights Reserved.揚帆逐浪，開啟零食行業的全渠道戰略2023年8月 2023 Nielsen Consumer LLC.All Rights Reserved.219291947AC尼爾森尼爾森由由 Arthur C.Nielse。

20、1DATA+AI SUMMIT 2023 San Francisco06/27/2023234Who are we?SmartAutomation&DigitalTransformerIT Expert on Data&Analytics567891011HOW DO WE BECOME DATA DRIVEN?12Data Platforms13The Corporate Da。

21、Ray on SparkBen Wilson,DatabricksJiajun Yao,AnyscaleDatabricks2023Who we are Ben WilsonJiajun YaoWorks with ML open source software at DatabricksMLflow maintainerSoftware engineer at AnyscaleRay comm。

22、Whats new in Databricks WorkflowsBilal Aslam,Sr.Director of Product Management,DatabricksProduct safe harbor statementThis information is provided to outline Databricks general product direction and 。

23、 2023 AT&T Intellectual Property.AT&T and globe logo are registered trademarks and service marks of AT&T Intellectual Property and/or AT&T affiliated companies.All other marks are the。

24、Clean Room Primer:Using Clean Rooms on Databricks to Utilize More and Better Data in your BI,ML,and BeyondMatt Karasick;Chief Product Officer,HabuAnil Puliyeril;Senior Architect;HabuDatabricks2023Hab。

25、Real Time ML in Marketplace LyftBy RakeshMarketplace Org1Agenda Introduction Use cases Overall architecture Dev Ex Lesson Learned Data Points QA2Introduction3Dynamic PricingSupply/Demand curveETAPric。

26、Is Rust the Future of Analytics?Delta-rs,Apache Arrow,Polars,WASMDatabricks2023The JVM is dead.Hi Oz Katz CTO,Co-Founder lakeFS Present of AnalyticsData SourcesIngestProcess,store,analyzeCRMERPCDPOpe。

27、Engineering Data Data Lakehouse Systems for the Next Ten Years of GrowthAdi PolakData&AI Technology StrategistDatabricks2023About me Adi PolakThesis in Machine Learning and Cyber SecurityAuthor:S。

28、The Hitchhikers Guide to Delta Lake Streaming Tristen WentlingSr.Solutions ArchitectDelta OSS Contributor2023Scott HainesDistinguished Software EngineerSpark/Delta OSS Contributorhttps:/bit.ly/dais20。

29、Factory of the FutureA Case Study Building Digital Twins using Knowledge Graphs and Gen AIDatabricks2023AgendaState of Digital TwinsTwin of Twins w/Knowledge Graphs and Data ProductsWhats Next?Twins 。

30、Unlocking the Power of Real-Time Data to Maximize Data InsightsRaghu Jayachandran,Senior Manager Enterprise DataDiby Malakar,VP Product ManagmentJune 20232|2023 Alation,Inc.All Rights Reserved.Data I。

31、Unlocking Near Real Time Data Replication with CDC,Apache Spark Streaming,and Delta LakeDatabricks2023Ivan Peng and Phani NalluriHow many orders did DoorDash do yesterday?How many orders did DoorDash。

32、Streaming data analytics with Power BI and DatabricksLiping HuangMarius PangaDatabricks2023Agenda Lakehouse for Real-Time Analytics Architectural Patterns and Demos Considerations2Transactional recor。

33、Using Matillion to Boost Productivity with the Lakehouse and your Full Data StackRick Wear Group Product Owner for ETL,MatillionDatabricks20231_DAIS_Title_SlidePurpose-built for DatabricksDatabricks 。

34、Your LLM,Your Data,Your InfrastructureSharon Zhou,PhDCofounder&CEO,Lamini realSharonZhouDatabricks20231_DAIS_Title_SlideDemoPlay with this LLM at app.lamini.aiWe couldnt have gotten to this level。

35、Managing Data Encryption in Apache SparkGidon Gershinsky,Apple Inc.Databricks2023THIS IS NOT A CONTRIBUTIONPresenterGidon GershinskyCommitter and PMC member in Apache ParquetWorks on big data securit。

36、USING LAKEHOUSE TO FIGHT CANCEROntadas Journey to Establish a Real-World Data(RWD)Platform on Databricks Lakehouse Databricks20231About The SpeakerDonghwa Kim is the Senior Director of Architecture a。

37、Distributing Data Governance:How Unity Catalog Allows For A Collaborative ApproachGilad AsulinPulkit ChadhaJune 27th 2023giladasulin,pulkitchadha2Pulkit ChadhaSr.Solutions Architect Databrickspulkitc。

38、Jet Streaming Data and Predictive Analytics:How the Lakehouse and Apache SparkEnable Collins Aerospace to Keep Aircraft FlyingDatabricks2023Sanket Amin Senior Manager,CAS Data Science and Analytics 2。

39、How Comcasts Effectv Drives Data Observability with Databricks and Monte CarloDatabricks20232IntroductionsSCOTT LERNER Customer Success Manager,Monte CarloROBINSON CREIGHTONSr.Manager DataOps,Effectv。

40、Use Apache Spark from Anywhere Remote Connectivity with Spark ConnectStefania Leone,Martin GrundSr.Manager Product Management,DatabricksSr.Staff Software Engineer,DatabricksProduct Safe Harbor Statem。

41、DRIVING SPEED TO INSIGHTS DRIVING SPEED TO INSIGHTS WITH AN EXTENDED WITH AN EXTENDED LAKEHOUSE ARCHITECTURELAKEHOUSE ARCHITECTURERajesh IyerVP,Global Leader of AI&Machine LearningInsights&Da。

42、Weaving the Data Mesh in the Department of DefenseDatabricks20231_DAIS_Title_SlideCDAO Mandate“The CDAO.will lead and oversee DoDs strategy development and policy formulation for data,analytics,and A。

43、Lakehouse Architecture to Advance Security Analytics at the Department of State Tim AhrensBrendan BarsnessDatabricks2023Agenda1What is the Department of States Center for Analytics(CfA)2The Challenge。

44、Vector Data LakeDo you need(more than)a vector database in 2023?Databricks2023PhD student at Stanford Universityhttps:/ Lance formatCo-author pandaschanghiskhanGenerative AI is missing a storage laye。

45、Sigma+DatabricksHow using Sigma Input Tables improves Data Science and Machine Learning within Databricks Databricks2023Introduction:SpeakersMitch is an experienced data analytics professional with a。

46、Have Your Cake and Eat it Too with Dataiku and DatabricksAmanda MilbergSenior Partner Solutions Engineer,DataikuDatabricks2023Session ObjectiveProvide an overview of Dataiku Highlight the seamless fe。

47、The Future of Data Access Control:The Future of Data Access Control:Booz Allen Hamiltons Approach to Booz Allen Hamiltons Approach to Securing our Databricks Lakehouse Securing our Databricks Lakehou。

48、English SDK for Apache SparkBoosting Development with LLMsGengliang WangAllison WangAmanda LiuAbout UsThe Spark team at Gengliang WangGithub:gengliangwangAllison WangGithub:allisonwang-dbAmanda LiuGi。