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Big Data Day LA 2016 Keynote - Paul Ellwood/ Netflix
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Big Data Day LA 2016 - Paul Ellwood, VP - Data Engineering & Analytics, Netflix
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Recommandé
Warner Bros. processes billions of records each day Globally between its web assets, digital content distribution, OTT streaming services, online and mobile games, technical operations, anti-piracy programs, social media, and retail point of sale transactions. Combining these datasets with content metadata, Warner Bros. is able produce Consumer insights and affinity models that result in highly accurate Audience segments.
Big Data Day LA 2016/ Big Data Track - Warner Bros. Digital Consumer Intellig...
Big Data Day LA 2016/ Big Data Track - Warner Bros. Digital Consumer Intellig...
Data Con LA
While machine learning methods have made great strides in predictive analytics, there are many components of data science that still require human intervention. In particular, people are great at finding visual patterns in data. John Tukey was talking about exploratory data analysis in the 1970s, but advances in computer graphics have given us additional powers. I'll demonstrate methods for finding patterns in high-dimensional data, including the generalized pairs plot, the Grand Tour, and the lineup protocol for graphical inference. Of course, we will be implementing these methods using R and Shiny.
Big Data Day LA 2015 - Using data visualization to find patterns in multidime...
Big Data Day LA 2015 - Using data visualization to find patterns in multidime...
Data Con LA
It isn't easy to drink from the technology firehose of today's Internet economy. At Connexity, we have gone from home-grown MapReduce frameworks and custom in-house search-engines to extensive use of Apache Hadoop, Hive, Pig, Cassandra, Solr and other technologies to power our business. This talk will explore some of the evolutionary steps that we've made and what lessons you might draw from our 15+ years of experience of swimming with the Internet sharks.
Big Data Day LA 2015 - The Big Data Journey: How Big Data Practices Evolve at...
Big Data Day LA 2015 - The Big Data Journey: How Big Data Practices Evolve at...
Data Con LA
Dot pab forum september 2011
Dot pab forum september 2011
The Social Executive
101129 tokyopref bochibochi
101129 tokyopref bochibochi
redgang
Tajo is an advanced open source data warehouse system on Hadoop. Tajo has rapidly evolved over couple of years. In this talk, I will present how Tajo has been improved for years. In particular, this talk will introduce new features of the most recent major release Tajo 0.10: Hbase storage support, thin JDBC driver, direct JSON support, and better Amazon EMR support. Then, I will present the upcoming features that currently Tajo community is doing: Multi-tenant scheduler, allowing multiple users to submit multiple queries into one cluster; nested schema support, allowing users to directly handle complex data types without flattening; more advanced SQL features like WITH clause, window frame, and subqueries.
Big Data Day LA 2015 - What's New Tajo 0.10 and Beyond by Hyunsik Choi of Gruter
Big Data Day LA 2015 - What's New Tajo 0.10 and Beyond by Hyunsik Choi of Gruter
Data Con LA
Leading entrepreneurial outfits are disrupting traditional companies by rapidly building data-driven apps. They employ top software talent and effectively use storage, analytics and app-dev tools from various open source ecosystems. We show how companies of all sizes are now transforming into data-driven enterprises using their existing software skill sets by leveraging a single platform that combines flexible data storage systems, advanced analytics and agile app-dev PaaS frameworks, all available now in open source forums.
Big Data Day LA 2015 - Transforming into a data driven enterprise using exist...
Big Data Day LA 2015 - Transforming into a data driven enterprise using exist...
Data Con LA
This session will explore how to apply GeoSpatial analytics using Apache Spark on high-velocity streaming (data-in-motion) and high-volume batch (data-at-rest). Demonstrations will be performed throughout the session to cement these concepts.
Big Data Day LA 2015 - Big Data Day LA 2015 - Applying GeoSpatial Analytics u...
Big Data Day LA 2015 - Big Data Day LA 2015 - Applying GeoSpatial Analytics u...
Data Con LA
Recommandé
Warner Bros. processes billions of records each day Globally between its web assets, digital content distribution, OTT streaming services, online and mobile games, technical operations, anti-piracy programs, social media, and retail point of sale transactions. Combining these datasets with content metadata, Warner Bros. is able produce Consumer insights and affinity models that result in highly accurate Audience segments.
Big Data Day LA 2016/ Big Data Track - Warner Bros. Digital Consumer Intellig...
Big Data Day LA 2016/ Big Data Track - Warner Bros. Digital Consumer Intellig...
Data Con LA
While machine learning methods have made great strides in predictive analytics, there are many components of data science that still require human intervention. In particular, people are great at finding visual patterns in data. John Tukey was talking about exploratory data analysis in the 1970s, but advances in computer graphics have given us additional powers. I'll demonstrate methods for finding patterns in high-dimensional data, including the generalized pairs plot, the Grand Tour, and the lineup protocol for graphical inference. Of course, we will be implementing these methods using R and Shiny.
Big Data Day LA 2015 - Using data visualization to find patterns in multidime...
Big Data Day LA 2015 - Using data visualization to find patterns in multidime...
Data Con LA
It isn't easy to drink from the technology firehose of today's Internet economy. At Connexity, we have gone from home-grown MapReduce frameworks and custom in-house search-engines to extensive use of Apache Hadoop, Hive, Pig, Cassandra, Solr and other technologies to power our business. This talk will explore some of the evolutionary steps that we've made and what lessons you might draw from our 15+ years of experience of swimming with the Internet sharks.
Big Data Day LA 2015 - The Big Data Journey: How Big Data Practices Evolve at...
Big Data Day LA 2015 - The Big Data Journey: How Big Data Practices Evolve at...
Data Con LA
Dot pab forum september 2011
Dot pab forum september 2011
The Social Executive
101129 tokyopref bochibochi
101129 tokyopref bochibochi
redgang
Tajo is an advanced open source data warehouse system on Hadoop. Tajo has rapidly evolved over couple of years. In this talk, I will present how Tajo has been improved for years. In particular, this talk will introduce new features of the most recent major release Tajo 0.10: Hbase storage support, thin JDBC driver, direct JSON support, and better Amazon EMR support. Then, I will present the upcoming features that currently Tajo community is doing: Multi-tenant scheduler, allowing multiple users to submit multiple queries into one cluster; nested schema support, allowing users to directly handle complex data types without flattening; more advanced SQL features like WITH clause, window frame, and subqueries.
Big Data Day LA 2015 - What's New Tajo 0.10 and Beyond by Hyunsik Choi of Gruter
Big Data Day LA 2015 - What's New Tajo 0.10 and Beyond by Hyunsik Choi of Gruter
Data Con LA
Leading entrepreneurial outfits are disrupting traditional companies by rapidly building data-driven apps. They employ top software talent and effectively use storage, analytics and app-dev tools from various open source ecosystems. We show how companies of all sizes are now transforming into data-driven enterprises using their existing software skill sets by leveraging a single platform that combines flexible data storage systems, advanced analytics and agile app-dev PaaS frameworks, all available now in open source forums.
Big Data Day LA 2015 - Transforming into a data driven enterprise using exist...
Big Data Day LA 2015 - Transforming into a data driven enterprise using exist...
Data Con LA
This session will explore how to apply GeoSpatial analytics using Apache Spark on high-velocity streaming (data-in-motion) and high-volume batch (data-at-rest). Demonstrations will be performed throughout the session to cement these concepts.
Big Data Day LA 2015 - Big Data Day LA 2015 - Applying GeoSpatial Analytics u...
Big Data Day LA 2015 - Big Data Day LA 2015 - Applying GeoSpatial Analytics u...
Data Con LA
Jay Kreps, Open Source Visionary and Co Founder of Confluent and several open source projects will be visiting LA. I have asked him to come present at our group. He will present his vision and will answer questions regarding Kafka and other projects Bio:- Jay is the co-founder and CEO at Confluent a company built around realtime data streams and the open source messaging system Apache Kafka. He is the original author of several of open source projects including Apache Kafka, Apache Samza, Voldemort, and Azkaban.
An evening with Jay Kreps; author of Apache Kafka, Samza, Voldemort & Azkaban.
An evening with Jay Kreps; author of Apache Kafka, Samza, Voldemort & Azkaban.
Data Con LA
Big Data Day LA 2016 Keynote - Jeanne Holm, Deputy CIO & Assistant General Manager for City of Los Angeles
Big Data Day LA 2016 Keynote - Jeanne Holm/ City of LA
Big Data Day LA 2016 Keynote - Jeanne Holm/ City of LA
Data Con LA
Companies analyzing big data help achieve important business objectives such as customer retention, real-time in-context marketing, omni-channel marketing productivity, campaign productivity and operational efficiencies. Cloud-based big data architectures create lower risk, lower startup costs and faster time-to-market. This session will examine the key advantages from deploying big data in the cloud, such as the flexibility to auto scale and the ability to experiment with on-demand and hybrid nodes. We will also discuss lessons learned from big data in the cloud, such as how to avoid bottlenecks by building caches or how to design instances to leverage spotting.
Big Data Day LA 2015 - Lessons learned from scaling Big Data in the Cloud by...
Big Data Day LA 2015 - Lessons learned from scaling Big Data in the Cloud by...
Data Con LA
How can our data make the biggest impact? How do we find the stories worth sharing buried in our analytics? How important are visuals, hooks, connections, content? As data science and journalism have co-evolved, the potential for effectively communicating with data has skyrocketed. We'll look at case studies of impactful data stories and share the process for developing data stories that drive action.
Big Data Day LA 2016/ Data Science Track - Data Storytelling for Impact - Dav...
Big Data Day LA 2016/ Data Science Track - Data Storytelling for Impact - Dav...
Data Con LA
The social media real estate you put time into is as important as the suburb you invest in. The right place at the right price is what gives good returns. For time-poor professionals looking to start out in social media the sheer number of platforms to choose from can feel overwhelming – LinkedIn, Twitter, Facebook, YouTube, Pinterest, Google Plus? It’s a bit like selecting the ‘all suburbs’ search when you are trying to find somewhere to live. While I am loathe to suggest one platform to the exclusion of others (because together they create an amplification effect) if you’re a professional or need to reach high net worth individuals then research suggests that a great place to live is LinkedIn. This is why.
Do you know how the ultra affluent use social media? Find out.
Do you know how the ultra affluent use social media? Find out.
The Social Executive
Spark After Dark is a mock dating site that uses the latest Spark libraries, AWS Kinesis, Lambda Architecture, and Probabilistic Data Structures to generate dating recommendations. There will be 5+ demos covering everything from basic data ETL to advanced data processing including Alternating Least Squares Machine Learning/Collaborative Filtering and PageRank Graph Processing. There is heavy emphasis on Spark Streaming and AWS Kinesis. Watch the video here https://www.youtube.com/watch?v=g0i_d8YT-Bs
Spark after Dark by Chris Fregly of Databricks
Spark after Dark by Chris Fregly of Databricks
Data Con LA
Example 3, Warner Brothers 2016
Example 3, Warner Brothers 2016
Carla Emilian Olivas
Abstract:- With its easy to use interfaces and native integration with some of the most popular ingest tools, such as Kafka, Flume, Kinesis etc, Spark Streaming has become go-to tool for stream processing. Code sharing with Spark also makes it attractive. In this talk, we will discuss the latest features in Spark Streaming and how it integrates with Kafka natively with no data loss, and even do exactly once processing! Bio:- Hari Shreedharan is a PMC member and committer on the Apache Flume Project. As a PMC member, he is involved in making decisions on the direction of the project. Author of the O’Reilly book Using Flume, Hari is also a software engineer at Cloudera, where he works on Apache Flume, Apache Spark, and Apache Sqoop. He also ensures that customers can successfully deploy and manage Flume, Spark, and Sqoop on their clusters, by helping them resolve any issues they are facing.
Spark Streaming& Kafka-The Future of Stream Processing by Hari Shreedharan of...
Spark Streaming& Kafka-The Future of Stream Processing by Hari Shreedharan of...
Data Con LA
Why with so much evidence about the value of social media do so few executives use it? They're anchored to 6 damaging myths about social media that hold them back. Here are the truths.
6 damaging myths about social media and the truths behind them
6 damaging myths about social media and the truths behind them
The Social Executive
The Increasing Importance of Brands and Global Reach -- Greg Ballard, Senior Vice President at Warner Bros. (Winter Nights: Mobile Games Conference 2014 http://www.wnconf.com/). Presentation slides
Greg Ballard, Warner Bros.
Greg Ballard, Warner Bros.
anastasiaalikova
At IRIS.TV, our business builds algorithmic solutions for video recommendation with the end goal to deliver a great user experience as evidenced by users viewing more video content. This talk outlines our reasons for expanding from a descriptive/predictive approach to data analytics toward a philosophy that features more prescriptive analytics, driven by our data science team.
Big Data Day LA 2016/ Use Case Driven track - Shaping the Role of Data Scienc...
Big Data Day LA 2016/ Use Case Driven track - Shaping the Role of Data Scienc...
Data Con LA
While we frequently talk about how to build interesting products on top of machine and event data, the reality is that collecting, organizing, providing access to, and managing this data is where most people get stuck. In this session, we’ll follow the flow of data through an end to end system built to handle tens of terabytes per day of event-oriented data, providing real time streaming, in-memory, SQL, and batch access to this data. We’ll go into detail on how open source systems such as Hadoop, Kafka, Solr, and Impala/Hive are actually stitched together; describe how and where to perform data transformation and aggregation; provide a simple and pragmatic way of managing event metadata; and talk about how applications built on top of this platform get access to data and extend its functionality. This session is especially recommended for data infrastructure engineers and architects planning, building, or maintaining similar systems.
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Building an Event-oriented...
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Building an Event-oriented...
Data Con LA
Today’s Software Defined environments attempt to remove the weakness of computing hardware from the operational equation. There is no doubt that this is a natural progress away from overpriced, proprietary compute and storage layers. However, even at the heart of any Software Defined universe is an underlying hardware stack that must be robust, reliable and cost effective. Our 20+ years experience delivering over 2000 clusters and clouds has taught us how to properly design and engineer the right hardware solution for Big Data, Cluster and Cloud environments. This presentation will share this knowledge allowing user to make better design decisions for any deployment.
Big Data Day LA 2016/ Use Case Driven track - From Clusters to Clouds, Hardwa...
Big Data Day LA 2016/ Use Case Driven track - From Clusters to Clouds, Hardwa...
Data Con LA
The real estate industry is generating terabytes of data, but a very small percentage is being utilized or processed. ZULLOO Inc. is creating a artificial intelligence engine utilizing big data and machine learning. The question is, why aren't more data scientists exploring the real estate industry when it represents 15% of the US GDP, measured in the Trillions?
Big Data Day LA 2016/ NoSQL track - Big Data and Real Estate, Jon Zifcak, CEO...
Big Data Day LA 2016/ NoSQL track - Big Data and Real Estate, Jon Zifcak, CEO...
Data Con LA
This talk explores the path taken at Intuit, the maker of TurboTax, Mint and Quickbooks, to operationalize predictive analytics and highlights automations that have allowed Intuit to stay ahead of the fraud curve.
Big Data Day LA 2016/ Data Science Track - Intuit's Payments Risk Platform, D...
Big Data Day LA 2016/ Data Science Track - Intuit's Payments Risk Platform, D...
Data Con LA
There is a novel approach to identifying big data use cases, one which will ultimately lower the barrier to entry to big data projects and increase overall implementation success. This talk describes the approach used by big data pioneer and Datameer CEO Stefan Groschupf to drive over 200 production implementations.
Big Data Day LA 2016/ Use Case Driven track - How to Use Design Thinking to J...
Big Data Day LA 2016/ Use Case Driven track - How to Use Design Thinking to J...
Data Con LA
As integrated web analytics evolves to both a service oriented and event based model, there will be higher emphasis on moving toward event based analytics. Business analytics is moving from purely counts of analytics to time-series, relationship and usage analytics. Examples of web analytics that can take advantage of this architecture are conversions analytics or cross channel marketing. The advantage of storing raw event data is that you have maximum flexibility for analysis. For example, you can trace the sequence of pages that one person visited over the course of their session. You can’t do that if you’ve squashed all the events into e.g. counters. That sort of analysis is really important for some offline processing tasks, such as training a recommender system (“people who bought X also bought Y”, that sort of thing). For such use cases, it’s best to simply keep all the raw events, so that you can later feed them all into your shiny new machine learning system. In this session we are going to elaborate on using Kafka, an Event Processing framework (e.g. Storm or Spark Streaming) and either Hadoop or EDW for building an Event Driven Architecture.
Big Data Day LA 2015 - Event Driven Architecture for Web Analytics by Peyman ...
Big Data Day LA 2015 - Event Driven Architecture for Web Analytics by Peyman ...
Data Con LA
This talk explores deploying a series of small and large batch and streaming pipelines locally, to Spark and Flink clusters and to Google Cloud Dataflow services to give the audience a feel for the portability of Beam, a new portable Big Data processing framework recently submitted by Google to the Apache foundation. This talk will look at how the programming model handles late arriving data in a stream with event time, windows, and triggers.
Big Data Day LA 2016/ Big Data Track - Portable Stream and Batch Processing w...
Big Data Day LA 2016/ Big Data Track - Portable Stream and Batch Processing w...
Data Con LA
Abstract:- Come learn about Google BigQuery and its underlying architecture. Felipe will go over the evolution of BigQuery and explain some of the underlying principles of BigQuery and Dremel. Felipe will also go over some of the latest use cases and will demo a use case of Google BigQuery Bio:- Felipe Hoffa moved from Chile to San Francisco to join Google as a Software Engineer. Since 2013 he's been a Developer Advocate on big data - to inspire developers around the world to leverage the Google Cloud Platform tools to analyze and understand their data in ways they could never before. You can find him in several YouTube videos, blog posts, and conferences around the world. Follow Felipe at https://twitter.com/felipehoffa.
An indepth look at Google BigQuery Architecture by Felipe Hoffa of Google
An indepth look at Google BigQuery Architecture by Felipe Hoffa of Google
Data Con LA
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Data Con LA 2022 Keynotes
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Peter Loo - Acting Chief Information Officer at Los Angeles County
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En vedette
Jay Kreps, Open Source Visionary and Co Founder of Confluent and several open source projects will be visiting LA. I have asked him to come present at our group. He will present his vision and will answer questions regarding Kafka and other projects Bio:- Jay is the co-founder and CEO at Confluent a company built around realtime data streams and the open source messaging system Apache Kafka. He is the original author of several of open source projects including Apache Kafka, Apache Samza, Voldemort, and Azkaban.
An evening with Jay Kreps; author of Apache Kafka, Samza, Voldemort & Azkaban.
An evening with Jay Kreps; author of Apache Kafka, Samza, Voldemort & Azkaban.
Data Con LA
Big Data Day LA 2016 Keynote - Jeanne Holm, Deputy CIO & Assistant General Manager for City of Los Angeles
Big Data Day LA 2016 Keynote - Jeanne Holm/ City of LA
Big Data Day LA 2016 Keynote - Jeanne Holm/ City of LA
Data Con LA
Companies analyzing big data help achieve important business objectives such as customer retention, real-time in-context marketing, omni-channel marketing productivity, campaign productivity and operational efficiencies. Cloud-based big data architectures create lower risk, lower startup costs and faster time-to-market. This session will examine the key advantages from deploying big data in the cloud, such as the flexibility to auto scale and the ability to experiment with on-demand and hybrid nodes. We will also discuss lessons learned from big data in the cloud, such as how to avoid bottlenecks by building caches or how to design instances to leverage spotting.
Big Data Day LA 2015 - Lessons learned from scaling Big Data in the Cloud by...
Big Data Day LA 2015 - Lessons learned from scaling Big Data in the Cloud by...
Data Con LA
How can our data make the biggest impact? How do we find the stories worth sharing buried in our analytics? How important are visuals, hooks, connections, content? As data science and journalism have co-evolved, the potential for effectively communicating with data has skyrocketed. We'll look at case studies of impactful data stories and share the process for developing data stories that drive action.
Big Data Day LA 2016/ Data Science Track - Data Storytelling for Impact - Dav...
Big Data Day LA 2016/ Data Science Track - Data Storytelling for Impact - Dav...
Data Con LA
The social media real estate you put time into is as important as the suburb you invest in. The right place at the right price is what gives good returns. For time-poor professionals looking to start out in social media the sheer number of platforms to choose from can feel overwhelming – LinkedIn, Twitter, Facebook, YouTube, Pinterest, Google Plus? It’s a bit like selecting the ‘all suburbs’ search when you are trying to find somewhere to live. While I am loathe to suggest one platform to the exclusion of others (because together they create an amplification effect) if you’re a professional or need to reach high net worth individuals then research suggests that a great place to live is LinkedIn. This is why.
Do you know how the ultra affluent use social media? Find out.
Do you know how the ultra affluent use social media? Find out.
The Social Executive
Spark After Dark is a mock dating site that uses the latest Spark libraries, AWS Kinesis, Lambda Architecture, and Probabilistic Data Structures to generate dating recommendations. There will be 5+ demos covering everything from basic data ETL to advanced data processing including Alternating Least Squares Machine Learning/Collaborative Filtering and PageRank Graph Processing. There is heavy emphasis on Spark Streaming and AWS Kinesis. Watch the video here https://www.youtube.com/watch?v=g0i_d8YT-Bs
Spark after Dark by Chris Fregly of Databricks
Spark after Dark by Chris Fregly of Databricks
Data Con LA
Example 3, Warner Brothers 2016
Example 3, Warner Brothers 2016
Carla Emilian Olivas
Abstract:- With its easy to use interfaces and native integration with some of the most popular ingest tools, such as Kafka, Flume, Kinesis etc, Spark Streaming has become go-to tool for stream processing. Code sharing with Spark also makes it attractive. In this talk, we will discuss the latest features in Spark Streaming and how it integrates with Kafka natively with no data loss, and even do exactly once processing! Bio:- Hari Shreedharan is a PMC member and committer on the Apache Flume Project. As a PMC member, he is involved in making decisions on the direction of the project. Author of the O’Reilly book Using Flume, Hari is also a software engineer at Cloudera, where he works on Apache Flume, Apache Spark, and Apache Sqoop. He also ensures that customers can successfully deploy and manage Flume, Spark, and Sqoop on their clusters, by helping them resolve any issues they are facing.
Spark Streaming& Kafka-The Future of Stream Processing by Hari Shreedharan of...
Spark Streaming& Kafka-The Future of Stream Processing by Hari Shreedharan of...
Data Con LA
Why with so much evidence about the value of social media do so few executives use it? They're anchored to 6 damaging myths about social media that hold them back. Here are the truths.
6 damaging myths about social media and the truths behind them
6 damaging myths about social media and the truths behind them
The Social Executive
The Increasing Importance of Brands and Global Reach -- Greg Ballard, Senior Vice President at Warner Bros. (Winter Nights: Mobile Games Conference 2014 http://www.wnconf.com/). Presentation slides
Greg Ballard, Warner Bros.
Greg Ballard, Warner Bros.
anastasiaalikova
At IRIS.TV, our business builds algorithmic solutions for video recommendation with the end goal to deliver a great user experience as evidenced by users viewing more video content. This talk outlines our reasons for expanding from a descriptive/predictive approach to data analytics toward a philosophy that features more prescriptive analytics, driven by our data science team.
Big Data Day LA 2016/ Use Case Driven track - Shaping the Role of Data Scienc...
Big Data Day LA 2016/ Use Case Driven track - Shaping the Role of Data Scienc...
Data Con LA
While we frequently talk about how to build interesting products on top of machine and event data, the reality is that collecting, organizing, providing access to, and managing this data is where most people get stuck. In this session, we’ll follow the flow of data through an end to end system built to handle tens of terabytes per day of event-oriented data, providing real time streaming, in-memory, SQL, and batch access to this data. We’ll go into detail on how open source systems such as Hadoop, Kafka, Solr, and Impala/Hive are actually stitched together; describe how and where to perform data transformation and aggregation; provide a simple and pragmatic way of managing event metadata; and talk about how applications built on top of this platform get access to data and extend its functionality. This session is especially recommended for data infrastructure engineers and architects planning, building, or maintaining similar systems.
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Building an Event-oriented...
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Building an Event-oriented...
Data Con LA
Today’s Software Defined environments attempt to remove the weakness of computing hardware from the operational equation. There is no doubt that this is a natural progress away from overpriced, proprietary compute and storage layers. However, even at the heart of any Software Defined universe is an underlying hardware stack that must be robust, reliable and cost effective. Our 20+ years experience delivering over 2000 clusters and clouds has taught us how to properly design and engineer the right hardware solution for Big Data, Cluster and Cloud environments. This presentation will share this knowledge allowing user to make better design decisions for any deployment.
Big Data Day LA 2016/ Use Case Driven track - From Clusters to Clouds, Hardwa...
Big Data Day LA 2016/ Use Case Driven track - From Clusters to Clouds, Hardwa...
Data Con LA
The real estate industry is generating terabytes of data, but a very small percentage is being utilized or processed. ZULLOO Inc. is creating a artificial intelligence engine utilizing big data and machine learning. The question is, why aren't more data scientists exploring the real estate industry when it represents 15% of the US GDP, measured in the Trillions?
Big Data Day LA 2016/ NoSQL track - Big Data and Real Estate, Jon Zifcak, CEO...
Big Data Day LA 2016/ NoSQL track - Big Data and Real Estate, Jon Zifcak, CEO...
Data Con LA
This talk explores the path taken at Intuit, the maker of TurboTax, Mint and Quickbooks, to operationalize predictive analytics and highlights automations that have allowed Intuit to stay ahead of the fraud curve.
Big Data Day LA 2016/ Data Science Track - Intuit's Payments Risk Platform, D...
Big Data Day LA 2016/ Data Science Track - Intuit's Payments Risk Platform, D...
Data Con LA
There is a novel approach to identifying big data use cases, one which will ultimately lower the barrier to entry to big data projects and increase overall implementation success. This talk describes the approach used by big data pioneer and Datameer CEO Stefan Groschupf to drive over 200 production implementations.
Big Data Day LA 2016/ Use Case Driven track - How to Use Design Thinking to J...
Big Data Day LA 2016/ Use Case Driven track - How to Use Design Thinking to J...
Data Con LA
As integrated web analytics evolves to both a service oriented and event based model, there will be higher emphasis on moving toward event based analytics. Business analytics is moving from purely counts of analytics to time-series, relationship and usage analytics. Examples of web analytics that can take advantage of this architecture are conversions analytics or cross channel marketing. The advantage of storing raw event data is that you have maximum flexibility for analysis. For example, you can trace the sequence of pages that one person visited over the course of their session. You can’t do that if you’ve squashed all the events into e.g. counters. That sort of analysis is really important for some offline processing tasks, such as training a recommender system (“people who bought X also bought Y”, that sort of thing). For such use cases, it’s best to simply keep all the raw events, so that you can later feed them all into your shiny new machine learning system. In this session we are going to elaborate on using Kafka, an Event Processing framework (e.g. Storm or Spark Streaming) and either Hadoop or EDW for building an Event Driven Architecture.
Big Data Day LA 2015 - Event Driven Architecture for Web Analytics by Peyman ...
Big Data Day LA 2015 - Event Driven Architecture for Web Analytics by Peyman ...
Data Con LA
This talk explores deploying a series of small and large batch and streaming pipelines locally, to Spark and Flink clusters and to Google Cloud Dataflow services to give the audience a feel for the portability of Beam, a new portable Big Data processing framework recently submitted by Google to the Apache foundation. This talk will look at how the programming model handles late arriving data in a stream with event time, windows, and triggers.
Big Data Day LA 2016/ Big Data Track - Portable Stream and Batch Processing w...
Big Data Day LA 2016/ Big Data Track - Portable Stream and Batch Processing w...
Data Con LA
Abstract:- Come learn about Google BigQuery and its underlying architecture. Felipe will go over the evolution of BigQuery and explain some of the underlying principles of BigQuery and Dremel. Felipe will also go over some of the latest use cases and will demo a use case of Google BigQuery Bio:- Felipe Hoffa moved from Chile to San Francisco to join Google as a Software Engineer. Since 2013 he's been a Developer Advocate on big data - to inspire developers around the world to leverage the Google Cloud Platform tools to analyze and understand their data in ways they could never before. You can find him in several YouTube videos, blog posts, and conferences around the world. Follow Felipe at https://twitter.com/felipehoffa.
An indepth look at Google BigQuery Architecture by Felipe Hoffa of Google
An indepth look at Google BigQuery Architecture by Felipe Hoffa of Google
Data Con LA
Warner Bros - Film Distribution
Warner Bros
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En vedette
(20)
An evening with Jay Kreps; author of Apache Kafka, Samza, Voldemort & Azkaban.
An evening with Jay Kreps; author of Apache Kafka, Samza, Voldemort & Azkaban.
Big Data Day LA 2016 Keynote - Jeanne Holm/ City of LA
Big Data Day LA 2016 Keynote - Jeanne Holm/ City of LA
Big Data Day LA 2015 - Lessons learned from scaling Big Data in the Cloud by...
Big Data Day LA 2015 - Lessons learned from scaling Big Data in the Cloud by...
Big Data Day LA 2016/ Data Science Track - Data Storytelling for Impact - Dav...
Big Data Day LA 2016/ Data Science Track - Data Storytelling for Impact - Dav...
Do you know how the ultra affluent use social media? Find out.
Do you know how the ultra affluent use social media? Find out.
Spark after Dark by Chris Fregly of Databricks
Spark after Dark by Chris Fregly of Databricks
Example 3, Warner Brothers 2016
Example 3, Warner Brothers 2016
Spark Streaming& Kafka-The Future of Stream Processing by Hari Shreedharan of...
Spark Streaming& Kafka-The Future of Stream Processing by Hari Shreedharan of...
6 damaging myths about social media and the truths behind them
6 damaging myths about social media and the truths behind them
Greg Ballard, Warner Bros.
Greg Ballard, Warner Bros.
Big Data Day LA 2016/ Use Case Driven track - Shaping the Role of Data Scienc...
Big Data Day LA 2016/ Use Case Driven track - Shaping the Role of Data Scienc...
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Building an Event-oriented...
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Building an Event-oriented...
Big Data Day LA 2016/ Use Case Driven track - From Clusters to Clouds, Hardwa...
Big Data Day LA 2016/ Use Case Driven track - From Clusters to Clouds, Hardwa...
Big Data Day LA 2016/ NoSQL track - Big Data and Real Estate, Jon Zifcak, CEO...
Big Data Day LA 2016/ NoSQL track - Big Data and Real Estate, Jon Zifcak, CEO...
Big Data Day LA 2016/ Data Science Track - Intuit's Payments Risk Platform, D...
Big Data Day LA 2016/ Data Science Track - Intuit's Payments Risk Platform, D...
Big Data Day LA 2016/ Use Case Driven track - How to Use Design Thinking to J...
Big Data Day LA 2016/ Use Case Driven track - How to Use Design Thinking to J...
Big Data Day LA 2015 - Event Driven Architecture for Web Analytics by Peyman ...
Big Data Day LA 2015 - Event Driven Architecture for Web Analytics by Peyman ...
Big Data Day LA 2016/ Big Data Track - Portable Stream and Batch Processing w...
Big Data Day LA 2016/ Big Data Track - Portable Stream and Batch Processing w...
An indepth look at Google BigQuery Architecture by Felipe Hoffa of Google
An indepth look at Google BigQuery Architecture by Felipe Hoffa of Google
Warner Bros
Warner Bros
Plus de Data Con LA
Soheil Katal - Chief Information Officer at Los Angeles Unified School District
Data Con LA 2022 Keynotes
Data Con LA 2022 Keynotes
Data Con LA
Peter Loo - Acting Chief Information Officer at Los Angeles County
Data Con LA 2022 Keynotes
Data Con LA 2022 Keynotes
Data Con LA
Lakshmi Sharma - Chief Product and Strategy Officer at Fastly
Data Con LA 2022 Keynote
Data Con LA 2022 Keynote
Data Con LA
Heidi Ojha - CEO at AwareHealth.io(Winner, Data Con LA Startup Showcase)
Data Con LA 2022 - Startup Showcase
Data Con LA 2022 - Startup Showcase
Data Con LA
Karthik Ramasamy, Head of Streaming, Databricks
Data Con LA 2022 Keynote
Data Con LA 2022 Keynote
Data Con LA
Mike Limcaco, Analytics Specialist / Customer Engineer at Google Measure trends in a particular topic or search term across Google Search across the US down to the city-level. Integrate these data signals into analytic pipelines to drive product, retail, media (video, audio, digital content) recommendations tailored to your audience segment. We'll discuss how Google unique datasets can be used with Google Cloud smart analytic services to process, enrich and surface the most relevant product or content that matches the ever-changing interests of your local customer segment.
Data Con LA 2022 - Using Google trends data to build product recommendations
Data Con LA 2022 - Using Google trends data to build product recommendations
Data Con LA
Melinda Thielbar, Data Science Practice Lead and Director of Data Science at Fidelity Investments From corporations to governments to private individuals, most of the AI community has recognized the growing need to incorporate ethics into the development and maintenance of AI models. Much of the current discussion, though, is meant for leaders and managers. This talk is directed to data scientists, data engineers, ML Ops specialists, and anyone else who is responsible for the hands-on, day-to-day of work building, productionalizing, and maintaining AI models. We'll give a short overview of the business case for why technical AI expertise is critical to developing an AI Ethics strategy. Then we'll discuss the technical problems that cause AI models to behave unethically, how to detect problems at all phases of model development, and the tools and techniques that are available to support technical teams in Ethical AI development.
Data Con LA 2022 - AI Ethics
Data Con LA 2022 - AI Ethics
Data Con LA
Antje Barth, Principal Developer Advocate, AI/ML at AWS & Chris Fregly, Principal Engineer, AI & ML at AWS The frequency and severity of natural disasters are increasing. In response, governments, businesses, nonprofits, and international organizations are placing more emphasis on disaster preparedness and response. Many organizations are accelerating their efforts to make their data publicly available for others to use. Repositories such as the Registry of Open Data on AWS and Humanitarian Data Exchange contain troves of data available for use by developers, data scientists, and machine learning practitioners. In this session, see how a community of developers came together though the AWS Disaster Response hackathon to build models to support natural disaster preparedness and response.
Data Con LA 2022 - Improving disaster response with machine learning
Data Con LA 2022 - Improving disaster response with machine learning
Data Con LA
Sig Narvaez, Executive Solution Architect at MongoDB MongoDB is now a Developer Data Platform. Come learn what�s new in the 6.0 release and Atlas following all the recent announcements made at MongoDB World 2022. Topics will include - Atlas Search which combines 3 systems into one (database, search engine, and sync mechanisms) letting you focus on your product's differentiation. - Atlas Data Federation to seamlessly query, transform, and aggregate data from one or more MongoDB Atlas databases, Atlas Data Lake and AWS S3 buckets - Queryable Encryption lets you run expressive queries on fully randomized encrypted data to meet the most stringent security requirements - Relational Migrator which analyzes your existing relational schemas and helps you design a new MongoDB schema. - And more!
Data Con LA 2022 - What's new with MongoDB 6.0 and Atlas
Data Con LA 2022 - What's new with MongoDB 6.0 and Atlas
Data Con LA
Jaysen Gillespie, Head of Analytics and Data Science at RTB House 1. Shopkick has over 30M downloads, but the userbase is very heterogeneous. Anecdotal evidence indicated a wide variety of users for whom the app holds long-term appeal. 2. Marketing and other teams challenged Analytics to get beyond basic summary statistics and develop a holistic segmentation of the userbase. 3. Shopkick's data science team used SQL and python to gather data, clean data, and then perform a data-driven segmentation using a k-means algorithm. 4. Interpreting the results is more work -- and more fun -- than running the algo itself. We'll discuss how we transform from ""segment 1"", ""segment 2"", etc. to something that non-analytics users (Marketing, Operations, etc.) could actually benefit from. 5. So what? How did team across Shopkick change their approach given what Analytics had discovered.
Data Con LA 2022 - Real world consumer segmentation
Data Con LA 2022 - Real world consumer segmentation
Data Con LA
Ravi Pillala, Chief Data Architect & Distinguished Engineer at Intuit TurboTax is one of the well known consumer software brand which at its peak serves 385K+ concurrent users. In this session, We start with looking at how user behavioral data & tax domain events are captured in real time using the event bus and analyzed to drive real time personalization with various TurboTax data pipelines. We will also look at solutions performing analytics which make use of these events, with the help of Kafka, Apache Flink, Apache Beam, Spark, Amazon S3, Amazon EMR, Redshift, Athena and Amazon lambda functions. Finally, we look at how SageMaker is used to create the TurboTax model to predict if a customer is at risk or needs help.
Data Con LA 2022 - Modernizing Analytics & AI for today's needs: Intuit Turbo...
Data Con LA 2022 - Modernizing Analytics & AI for today's needs: Intuit Turbo...
Data Con LA
George Mansoor, Chief Information Systems Officer at California State University Overview of the CSU Data Architecture on moving on-prem ERP data to the AWS Cloud at scale using Delphix for Data Replication/Virtualization and AWS Data Migration Service (DMS) for data extracts
Data Con LA 2022 - Moving Data at Scale to AWS
Data Con LA 2022 - Moving Data at Scale to AWS
Data Con LA
Anand Ranganathan, Chief AI Officer at Unscrambl Conversational AI is getting more and more widely used for customer support and employee support use-cases. In this session, I'm going to talk about how it can be extended for data analysis and data science use-cases ... i.e., how users can interact with a bot to ask analytical questions on data in relational databases. This allows users to explore complex datasets using a combination of text and voice questions, in natural language, and then get back results in a combination of natural language and visualizations. Furthermore, it allows collaborative exploration of data by a group of users in a channel in platforms like Microsoft Teams, Slack or Google Chat. For example, a group of users in a channel can ask questions to a bot in plain English like ""How many cases of Covid were there in the last 2 months by state and gender"" or ""Why did the number of deaths from Covid increase in May 2022"", and jointly look at the results that come back. This facilitates data awareness, data-driven collaboration and joint decision making among teams in enterprises and outside. In this talk, I'll describe how we can bring together various features including natural-language understanding, NL-to-SQL translation, dialog management, data story-telling, semantic modeling of data and augmented analytics to facilitate collaborate exploration of data using conversational AI.
Data Con LA 2022 - Collaborative Data Exploration using Conversational AI
Data Con LA 2022 - Collaborative Data Exploration using Conversational AI
Data Con LA
Anil Inamdar, VP & Head of Data Solutions at Instaclustr The most modernized enterprises utilize polyglot architecture, applying the best-suited database technologies to each of their organization's particular use cases. To successfully implement such an architecture, though, you need a thorough knowledge of the expansive NoSQL data technologies now available. Attendees of this Data Con LA presentation will come away with: -- A solid understanding of the decision-making process that should go into vetting NoSQL technologies and how to plan out their data modernization initiatives and migrations. -- They will learn the types of functionality that best match the strengths of NoSQL key-value stores, graph databases, columnar databases, document-type databases, time-series databases, and more. -- Attendees will also understand how to navigate database technology licensing concerns, and to recognize the types of vendors they'll encounter across the NoSQL ecosystem. This includes sniffing out open-core vendors that may advertise as “open source,"" but are driven by a business model that hinges on achieving proprietary lock-in. -- Attendees will also learn to determine if vendors offer open-code solutions that apply restrictive licensing, or if they support true open source technologies like Hadoop, Cassandra, Kafka, OpenSearch, Redis, Spark, and many more that offer total portability and true freedom of use.
Data Con LA 2022 - Why Database Modernization Makes Your Data Decisions More ...
Data Con LA 2022 - Why Database Modernization Makes Your Data Decisions More ...
Data Con LA
Zia Khan, Computer Systems Analyst and Data Scientist at LearningFuze Data Science tutorial is designed for people who are new to Data Science. This is a beginner level session so no prior coding or technical knowledge is required. Just bring your laptop with WiFi capability. The session starts with a review of what is data science, the amount of data we generate and how companies are using that data to get insight. We will pick a business use case, define the data science process, followed by hands-on lab using python and Jupyter notebook. During the hands-on portion we will work with pandas, numpy, matplotlib and sklearn modules and use a machine learning algorithm to approach the business use case.
Data Con LA 2022 - Intro to Data Science
Data Con LA 2022 - Intro to Data Science
Data Con LA
Mariana Danilovic, Managing Director at Infiom, LLC We will address: (1) Community creation and engagement using tokens and NFTs (2) Organization of DAO structures and ways to incentivize Web3 communities (3) DeFi business models applied to Web3 ventures (4) Why Metaverse matters for new entertainment and community engagement models.
Data Con LA 2022 - How are NFTs and DeFi Changing Entertainment
Data Con LA 2022 - How are NFTs and DeFi Changing Entertainment
Data Con LA
Curtis ODell, Global Director Data Integrity at Tricentis Join me to learn about a new end-to-end data testing approach designed for modern data pipelines that fills dangerous gaps left by traditional data management tools—one designed to handle structured and unstructured data from any source. You'll hear how you can use unique automation technology to reach up to 90 percent test coverage rates and deliver trustworthy analytical and operational data at scale. Several real world use cases from major banks/finance, insurance, health analytics, and Snowflake examples will be presented. Key Learning Objective 1. Data journeys are complex and you have to ensure integrity of the data end to end across this journey from source to end reporting for compliance 2. Data Management tools do not test data, they profile and monitor at best, and leave serious gaps in your data testing coverage 3. Automation with integration to DevOps and DataOps' CI/CD processes are key to solving this. 4. How this approach has impact in your vertical
Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...
Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...
Data Con LA
Arif Ansari, Professor at University of Southern California Super Bowl Ad cost $7 million and each year a few Super Bowl ads go viral. The traditional A/B testing does not predict virality. Some highly shared ones reach over 60 million organic views, which can be more valuable than views on TV. Not only are these voluntary, but they are typically without distraction, and win viewer engagement in the form of likes, comments, or shares. A Super Bowl ad that wins 69 million views on YouTube (e.g., Alexa Mind Reader) costs less than 10 cents per quality view! However, the challenge is triggering virality. We developed a method to predict virality and engineer virality into Ads. 1. Prof. Gerard J. Tellis and co-authors recommended that advertisers use YouTube to tease, test, and tweak (TTT) their ads to maximize sharing and viewing. 2022 saw that maxim put into practice. 2. We developed viral Ads prediction using two scientific models: a. Prof. Gerard Tellis et al.'s model for viral prediction b. Deep Learning viral prediction using social media effect 3. The model was able to identify all the top 15 Viral Ads it performed better than the traditional agencies. 4. New proposed method is Tease, Test, Tweak, Target and Spots Ad.
Data Con LA 2022-Perfect Viral Ad prediction of Superbowl 2022 using Tease, T...
Data Con LA 2022-Perfect Viral Ad prediction of Superbowl 2022 using Tease, T...
Data Con LA
Jai Bansal, Senior Manager, Data Science at Aetna This talk describes an internal data product called Member Embeddings that facilitates modeling of member medical journeys with machine learning. Medical claims are the key data source we use to understand health journeys at Aetna. Claims are the data artifacts that result from our members' interactions with the healthcare system. Claims contain data like the amount the provider billed, the place of service, and provider specialty. The primary medical information in a claim is represented in codes that indicate the diagnoses, procedures, or drugs for which a member was billed. These codes give us a semi-structured view into the medical reason for each claim and so contain rich information about members' health journeys. However, since the codes themselves are categorical and high-dimensional (10K cardinality), it's challenging to extract insight or predictive power directly from the raw codes on a claim. To transform claim codes into a more useful format for machine learning, we turned to the concept of embeddings. Word embeddings are widely used in natural language processing to provide numeric vector representations of individual words. We use a similar approach with our claims data. We treat each claim code as a word or token and use embedding algorithms to learn lower-dimensional vector representations that preserve the original high-dimensional semantic meaning. This process converts the categorical features into dense numeric representations. In our case, we use sequences of anonymized member claim diagnosis, procedure, and drug codes as training data. We tested a variety of algorithms to learn embeddings for each type of claim code. We found that the trained embeddings showed relationships between codes that were reasonable from the point of view of subject matter experts. In addition, using the embeddings to predict future healthcare-related events outperformed other basic features, making this tool an easy way to improve predictive model performance and save data scientist time.
Data Con LA 2022- Embedding medical journeys with machine learning to improve...
Data Con LA 2022- Embedding medical journeys with machine learning to improve...
Data Con LA
Jie Chen, Manager Advisory, KPMG Data is the new oil. However, many organizations have fragmented data in siloed line of businesses. In this topic, we will focus on identifying the legacy patterns and their limitations and introducing the new patterns packed by Kafka's core design ideas. The goal is to tirelessly pursue better solutions for organizations to overcome the bottleneck in data pipelines and modernize the digital assets for ready to scale their businesses. In summary, we will walk through three uses cases, recommend Dos and Donts, Take aways for Data Engineers, Data Scientist, Data architect in developing forefront data oriented skills.
Data Con LA 2022 - Data Streaming with Kafka
Data Con LA 2022 - Data Streaming with Kafka
Data Con LA
Plus de Data Con LA
(20)
Data Con LA 2022 Keynotes
Data Con LA 2022 Keynotes
Data Con LA 2022 Keynotes
Data Con LA 2022 Keynotes
Data Con LA 2022 Keynote
Data Con LA 2022 Keynote
Data Con LA 2022 - Startup Showcase
Data Con LA 2022 - Startup Showcase
Data Con LA 2022 Keynote
Data Con LA 2022 Keynote
Data Con LA 2022 - Using Google trends data to build product recommendations
Data Con LA 2022 - Using Google trends data to build product recommendations
Data Con LA 2022 - AI Ethics
Data Con LA 2022 - AI Ethics
Data Con LA 2022 - Improving disaster response with machine learning
Data Con LA 2022 - Improving disaster response with machine learning
Data Con LA 2022 - What's new with MongoDB 6.0 and Atlas
Data Con LA 2022 - What's new with MongoDB 6.0 and Atlas
Data Con LA 2022 - Real world consumer segmentation
Data Con LA 2022 - Real world consumer segmentation
Data Con LA 2022 - Modernizing Analytics & AI for today's needs: Intuit Turbo...
Data Con LA 2022 - Modernizing Analytics & AI for today's needs: Intuit Turbo...
Data Con LA 2022 - Moving Data at Scale to AWS
Data Con LA 2022 - Moving Data at Scale to AWS
Data Con LA 2022 - Collaborative Data Exploration using Conversational AI
Data Con LA 2022 - Collaborative Data Exploration using Conversational AI
Data Con LA 2022 - Why Database Modernization Makes Your Data Decisions More ...
Data Con LA 2022 - Why Database Modernization Makes Your Data Decisions More ...
Data Con LA 2022 - Intro to Data Science
Data Con LA 2022 - Intro to Data Science
Data Con LA 2022 - How are NFTs and DeFi Changing Entertainment
Data Con LA 2022 - How are NFTs and DeFi Changing Entertainment
Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...
Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...
Data Con LA 2022-Perfect Viral Ad prediction of Superbowl 2022 using Tease, T...
Data Con LA 2022-Perfect Viral Ad prediction of Superbowl 2022 using Tease, T...
Data Con LA 2022- Embedding medical journeys with machine learning to improve...
Data Con LA 2022- Embedding medical journeys with machine learning to improve...
Data Con LA 2022 - Data Streaming with Kafka
Data Con LA 2022 - Data Streaming with Kafka
Dernier
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
sammart93
Read about the journey the Adobe Experience Manager team has gone through in order to become and scale API-first throughout the organisation.
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
Radu Cotescu
Slides from the presentation on Machine Learning for the Arts & Humanities seminar at the University of Bologna (Digital Humanities and Digital Knowledge program)
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
Maria Levchenko
BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver
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Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
The Digital Insurer
These are the slides delivered in a workshop at Data Innovation Summit Stockholm April 2024, by Kristof Neys and Jonas El Reweny.
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Neo4j
If you are a Domino Administrator in any size company you already have a range of skills that make you an expert administrator across many platforms and technologies. In this session Gab explains how to apply those skills and that knowledge to take your career wherever you want to go.
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
Gabriella Davis
Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
Enterprise Knowledge
Presented by Mike Hicks
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
writing some innovation for development and search
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
Delhi Call girls
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
Stay safe, grab a drink and join us virtually for our upcoming "GenAI Risks & Security" Meetup to hear about how to uncover critical GenAI risks and vulnerabilities, AI security considerations in every company, and how a CISO should navigate through GenAI Risks.
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
lior mazor
With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
Principled Technologies
The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Igalia
ICT role in 21 century education. How to ICT help in education
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
jfdjdjcjdnsjd
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc
Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
apidays
Dernier
(20)
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
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A Domino Admins Adventures (Engage 2024)
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Big Data Day LA 2016 Keynote - Paul Ellwood/ Netflix
1.
Netflix Is The
New…? Paul Ellwood VP, Data Engineering & Analytics
2.
Global Internet TV
3.
4.
Big Data 40PB 700B
5.
Programming - Content Knowledge
Base - Identifying Opportunities - Predicting Performance - Measuring Performance - Catalog Health
6.
Digital Supply Chain -
Localization - Encoding - Quality Control
7.
8.
9.
Paul Ellwood pellwood@netflix.com @pellwood