Date: 15th November 2017
Location: AI Lab Theatre
Time: 16:30 - 17:00
Speaker: Elisabeth Olafsdottir / Santiago Castro
Organisation: Microsoft / Keyrus
The presentation describes about Big Data and Big Data Analytics that is emerging as an important business terminology. There is a lot of noise about Big Data in the market, where most people believe that's about huge volume of data. The presentation addresses it in a simple way and explains Big Data's implication from several angle and not only from volume.
Date: 15th November 2017
Location: AI Lab Theatre
Time: 16:30 - 17:00
Speaker: Elisabeth Olafsdottir / Santiago Castro
Organisation: Microsoft / Keyrus
The presentation describes about Big Data and Big Data Analytics that is emerging as an important business terminology. There is a lot of noise about Big Data in the market, where most people believe that's about huge volume of data. The presentation addresses it in a simple way and explains Big Data's implication from several angle and not only from volume.
GDPR Summit RDS May 2018 - DAMA VP Opening remarks and links to all presentat...DAMA Ireland
DAMA Ireland was delighted to both moderate and present at the #GDPR Summit in Dublin on Wednesday last 30th May. (http://www.gdprsummit.ie)
There was standing room only for the excellent presentations.
We view GDPR as a tipping point for common sense Data Management.
I presented on "The Data Value Map for GDPR" in which I explain how smart businesses are using the #DataValueMap.com (a free to use business tool from Cork University Business School) to extract #BusinessValue from their GDPR preparations.
See my presentation on the DAMA Ireland Slideshare account:
https://lnkd.in/eerfydT
#Nudge
#Innovation
#OpenConsultingGroup
#SolveForHappy
#Analytics
Data Standardization with Web Data Integration PromptCloud
Before analyzing data aggregated from multiple sources, it is essential to first standardize the datasets. At PromptCloud, we put special emphasis on this process and understand that as a web crawling company, our solution must enable our clients to integrate data efficiently.
The Identification of the ROI of Big Data is Pending on the Democratization of the Business Insights Coming from Advanced and Predictive Analytics of that Information
The importance of Data is growing every day. How is Data helping your business? The majority of companies fail to utilize their Data to the fullest, are you one of them?
Chris Gabriel, VP of Solutions Management at Logicalis Group, explores the world of ‘Big Data’, to look at the impact of ‘internet time’ on decision-making and the increasingly central role of business analytics in driving long term competitiveness.
Why Big Data is the foundation for Digital Transformation ?Koray Sonmezsoy
ClickZ Live Hong Kong 4-6 Aug 2015
http://www.clickzlive.com/hongkong/agenda-day1.php
Digital transformation is top-of-mind for executives across many industries. Often when thinking of digital transformation, marketers are thinking about how to amplify their digital presence through website enhancements, mobile design and social platforms. While those are certainly key tactics in a robust digital strategy, they are initiatives that must be informed by and based on data.
GE, RIM (Blackberry), Smith Corona and other large brand names have long been used as sound case studies for business schools. So how did these successful organizations not see and properly respond to digital disruptors? And will your organization respond differently when it’s time comes? This hands-on workshop explores governance as a solution to common enterprise challenges and opportunities in digital disruption (e.g., AR, chatbots, cryptocurrency, security breaches), strategic business shifts that requires digital to follow (e.g., rebranding, supply chain automation) and changes in legal/regulatory environments (e.g., GDPR, POPI).
Dark Data Revelation and its Potential BenefitsPromptCloud
This presentation covers benefits, use cases, practical examples, potential issues and the approach that needs to be taken when it comes to harnessing the power of dark data (a largely untapped strategic play in the big data realm).
Data privacy awareness is on the rise. Users become more and more concerned with how online service providers collect and protect their personal information. And so should you. Discover how to balance the risks and benefits of collecting data in the age of customer centricity.
The article explains how companies are using Big Data to grow their business. How big data is helping every business in understanding its customers, in improved marketing strategies, and personalized communication.
A Hitchhiker’s Guide to the Digital Economy for Banks by Ilker TasdemirMDS ap
MDSap Presentation at MEBIS 2018 on how the banking industry is being disrupted in the digital economy where technology changes everything from how customers find, select and engage with banks to how third-party financial services, P2P platforms, and the broader FSI eco-systems will be replacing many of the traditional services banks provide. This session offers advisory for banks to start their digital transformation and the best way to quickly gain ROI.
GDPR Summit RDS May 2018 - DAMA VP Opening remarks and links to all presentat...DAMA Ireland
DAMA Ireland was delighted to both moderate and present at the #GDPR Summit in Dublin on Wednesday last 30th May. (http://www.gdprsummit.ie)
There was standing room only for the excellent presentations.
We view GDPR as a tipping point for common sense Data Management.
I presented on "The Data Value Map for GDPR" in which I explain how smart businesses are using the #DataValueMap.com (a free to use business tool from Cork University Business School) to extract #BusinessValue from their GDPR preparations.
See my presentation on the DAMA Ireland Slideshare account:
https://lnkd.in/eerfydT
#Nudge
#Innovation
#OpenConsultingGroup
#SolveForHappy
#Analytics
Data Standardization with Web Data Integration PromptCloud
Before analyzing data aggregated from multiple sources, it is essential to first standardize the datasets. At PromptCloud, we put special emphasis on this process and understand that as a web crawling company, our solution must enable our clients to integrate data efficiently.
The Identification of the ROI of Big Data is Pending on the Democratization of the Business Insights Coming from Advanced and Predictive Analytics of that Information
The importance of Data is growing every day. How is Data helping your business? The majority of companies fail to utilize their Data to the fullest, are you one of them?
Chris Gabriel, VP of Solutions Management at Logicalis Group, explores the world of ‘Big Data’, to look at the impact of ‘internet time’ on decision-making and the increasingly central role of business analytics in driving long term competitiveness.
Why Big Data is the foundation for Digital Transformation ?Koray Sonmezsoy
ClickZ Live Hong Kong 4-6 Aug 2015
http://www.clickzlive.com/hongkong/agenda-day1.php
Digital transformation is top-of-mind for executives across many industries. Often when thinking of digital transformation, marketers are thinking about how to amplify their digital presence through website enhancements, mobile design and social platforms. While those are certainly key tactics in a robust digital strategy, they are initiatives that must be informed by and based on data.
GE, RIM (Blackberry), Smith Corona and other large brand names have long been used as sound case studies for business schools. So how did these successful organizations not see and properly respond to digital disruptors? And will your organization respond differently when it’s time comes? This hands-on workshop explores governance as a solution to common enterprise challenges and opportunities in digital disruption (e.g., AR, chatbots, cryptocurrency, security breaches), strategic business shifts that requires digital to follow (e.g., rebranding, supply chain automation) and changes in legal/regulatory environments (e.g., GDPR, POPI).
Dark Data Revelation and its Potential BenefitsPromptCloud
This presentation covers benefits, use cases, practical examples, potential issues and the approach that needs to be taken when it comes to harnessing the power of dark data (a largely untapped strategic play in the big data realm).
Data privacy awareness is on the rise. Users become more and more concerned with how online service providers collect and protect their personal information. And so should you. Discover how to balance the risks and benefits of collecting data in the age of customer centricity.
The article explains how companies are using Big Data to grow their business. How big data is helping every business in understanding its customers, in improved marketing strategies, and personalized communication.
A Hitchhiker’s Guide to the Digital Economy for Banks by Ilker TasdemirMDS ap
MDSap Presentation at MEBIS 2018 on how the banking industry is being disrupted in the digital economy where technology changes everything from how customers find, select and engage with banks to how third-party financial services, P2P platforms, and the broader FSI eco-systems will be replacing many of the traditional services banks provide. This session offers advisory for banks to start their digital transformation and the best way to quickly gain ROI.
Using Machine Learning to Understand and Predict Marketing ROIDATAVERSITY
Marketing is all about attracting, retaining and building profitable relationships with your customers, but how do you know which customers to target, which campaigns to run, and which marketing programs to invest in, to get most return for your dollar?
Join Alteryx and Keyrus as we demonstrate how to combine all relevant marketing, sales and customer data, and perform sophisticated analytics to deepen customer insight and calculate ROI of marketing programs.
You’ll walk away knowing how to:
Segment and profile your customers – take that raw data and translate it into real value
Build a marketing attribution model within Alteryx, creating a personal answer engine for your company.
Leverage R or Python code in an Alteryx workflow so data scientists can collaborate with non-coding stake holders in a code-friendly and code-free environment.
Join Alteryx and Keyrus and get the actionable insights you need to drive marketing ROI analytics, and answer million-dollar questions without spending millions of dollars on standardized solutions.
In the digital age, it is imperative to leverage the information and intelligence you gain about your customer to drive Exceptional Customer Experience. If you are not disrupting, you are being disrupted. Join us to understand how you can achieve Your Tomorrow Today.
[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...Mintigo1
To view the full webinar, please visit:
http://www.mintigo.com/how-to-be-a-data-driven-marketing-powerhouse-with-predictive-analytics-big-data/
Description:
How is it that b-to-b marketers have more data sources than ever before, but many are still in the dark about how to reach more of the right prospects? Sometimes the sheer volume of data can seem overwhelming, but it doesn’t have to be. In fact, with the right processes, skills and tools, many companies are transforming their approach to demand creation and letting data do the work for them.
Marketers need to make decisions in a data-rich environment, where vast amounts of customer data are flowing not only from the company’s internal systems such as CRM, marketing automation and web analytics, but also from external sources such as social, mobile, and other sources that can be found all over the web. But how do you separate the good data that signify buying signals from the noise found in the rest of the data? And what new skills and processes bring them to life?
In this dynamic session, we’ll hear from thought leaders from LinkedIn, SiriusDecisions and Mintigo on the best strategies for taking a data-driven approach to marketing. They will address key considerations and best practices to answer essential questions around:
-How the explosion of big data and emerging predictive technologies is transforming the marketing discipline
-Examples of marketers at leading companies are effectively utilizing big data & predictive analytics
-Recommendations for preparing your marketing team to become a data-driven organization
The Speakers:
- Russ Glass, Head of Products at LinkedIn
- Megan Heuer, VP & Group Director, Data-Driven Marketing at SiriusDecisions
- John Bara, President & CMO at Mintigo
Every industry is becoming data driven, built around its information systems. Nowhere is this more evident than in retail where customer data is pivoting to flow across the traditional customer touchpoints and retailers are creating organizational structures that are responsible for the customer experience across traditional functional silos.
CMO's guide to AI (Artificial Intelligence)Chris Baker
This report puts the subject of 'AI in marketing' into context for CMOs and senior marketers, looking to build long-term plans for implementation of AI into their broader marketing playbook.
The report looks at:
- The scale, speed and value of AI for marketers
- Insights on how to plan and roadmap its implementation
- Highlighting key use cases
- Perspectives on how search and brand discovery will change
- Recommendations for how to begin work on AI transformation
Research Presentation: How Numbers are Powering the Next Era of MarketingMediaPost
The data that Google, Bing and Yahoo leverage turns “dumb” messages into highly targeted digital advertising. These are some of the best examples we have had of actually leveraging "big data" concepts in the marketplace. Now, the rest of marketing is utilizing the same concepts and transforming how we measure brands, engage with consumers and drive innovation. Paul Barrett of Accenture Interactive will report on the fusion of data-driven marketing with the rich streams of data arising from private, public and paid sources to predict the changes that marketers should expect in the coming years.
PRESENTER
Paul Barrett, Senior Manager - Big Data Practice, Accenture Interactive
This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.
Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start.
About Parul Pandey:
Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.
How to Successfully Apply Data & AI in the Marketing Value Chain. In this session Artefact will be starting with the role of data in the current world and what it has lead to currently: Where are we with Data & Artificial Intelligence? the future is definitely here. We will make it concrete and explore where to apply Data & AI in digital marketing? What can AI do and what can't it do (yet)?Possible areas are automation, optimization and more. Artefact will make it practical to conclude and explain what using Data & AI means practically for Digital Marketing? What are the actionable next steps in Planning, setup/workflow, getting control and creative.
Moving to the Cloud: Artificial Intelligence in Cloud-Based SolutionsAggregage
With the advent of chatbots, artificial intelligence, interactive voice response, and machine learning, novel technologies continue to disrupt the contact center industry. These advances initially gave the impression that automation will replace the human element. Join Rick Nucci, Co-Founder and CEO of Guru, as he demystifies AI, explains how machine learning helps contact centers rather than replaces them, and demonstrates how to leverage this new technology to create innovative solutions.
Similar to Big Data LDN 2017: AI in the digital economy (20)
Blueprint Series: Banking In The Cloud – Ultra-high Reliability ArchitecturesMatt Stubbs
Data architecture for a challenger bank.Speaker: Jason Maude, Head of Technology Advocacy, Starling BankSpeaker Bio: Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won't be able to understand them. He currently works at Starling Bank as their Head of Technology Advocacy and host of the Starling podcast.Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.Meetup sponsored by DataStax.
Speed Up Your Apache Cassandra™ Applications: A Practical Guide to Reactive P...Matt Stubbs
Speaker: Cedrick Lunven, Developer Advocate, DataStax
Speaker Bio: Cedrick is a Developer Advocate at DataStax where he finds opportunities to share his passions by speaking about developing distributed architectures and implementing reference applications for developers. In 2013, he created FF4j, an open source framework for Feature Toggle which he still actively maintains. He is now contributor in JHipster team.
Talk Synopsis: We have all introduced more or less functional programming and asynchronous operations into our applications in order to speed up and distribute treatments (e.g., multi-threading, future, completableFuture, etc.). To build truly non-blocking components, optimize resource usage, and avoid "callback hell" you have to think reactive—everything is an event.
From the frontend UI to database communications, it’s now possible to develop Java applications as fully reactive with frameworks like Spring WebFlux and Reactor. With high throughput and tunable consistency, applications built on top of Apache Cassandra™ fit perfectly within this pattern.
DataStax has been developing Apache Cassandra drivers for years, and in the latest version of the enterprise driver we introduced reactive programming.
During this session we will migrate, step by step, a vanilla CRUD Java service (SpringBoot / SpringMVC) into reactive with both code review and live coding. Bring home a working project!
Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.
Meetup sponsored by DataStax.
Blueprint Series: Expedia Partner Solutions, Data PlatformMatt Stubbs
Join Anselmo for an engaging overview of the new end-to-end data architecture at Expedia Group, taking a journey through cloud and on-prem data lakes, real-time and batch processes and streamlined access for data producers and consumers. Find out how the new architecture unifies a complex mix of data sources and feeds the data science development cycle. Expedia might appear to be a market-leading travel company – in reality, it’s a highly successful technology and data science company.
Blueprint Series: Architecture Patterns for Implementing Serverless Microserv...Matt Stubbs
Richard Freeman talks about how the data science team at JustGiving built KOALA, a fully serverless stack for real-time web analytics capture, stream processing, metrics API, and storage service, supporting live data at scale from over 26M users. He discusses recent advances in serverless computing, and how you can implement traditionally container-based microservice patterns using serverless-based architectures instead. Deploying Serverless in your organisation can dramatically increase the delivery speed, productivity and flexibility of the development team, while reducing the overall running, DevOps and maintenance costs.
Big Data LDN 2018: DATABASE FOR THE INSTANT EXPERIENCEMatt Stubbs
Date: 14th November 2018
Location: Customer Experience Theatre
Time: 12:30 - 13:00
Speaker: David Maitland
Organisation: Redis Labs
About: This session will cover the technology underpinning at the software infrastructure level required to deliver the instant experience to the end user and enterprises alike. Use cases and value derived by major brands will be shared in this insightful session based the world's most loved database REDIS.
Big Data LDN 2018: BIG DATA TOO SLOW? SPRINKLE IN SOME NOSQLMatt Stubbs
Date: 14th November 2018
Location: Customer Experience Theatre
Time: 11:50 - 12:20
Speaker: Perry Krug
Organisation: Couchbase
About: Who wants to see an ad today for the shoes they bought last week? Everyone knows that customer experience is driven by data: don't waste an opportunity to get them the right data at the right time. Real-time results are critical, but raw speed isn't everything: you need power and flexibility to react to changes on the fly. Come learn how market-leading enterprises are using Couchbase as their speed layer for ingestion, incremental view and presentation layers alongside Kafka, Spark and Hadoop to liberate their data lakes.
Big Data LDN 2018: ENABLING DATA-DRIVEN DECISIONS WITH AUTOMATED INSIGHTSMatt Stubbs
Date: 13th November 2018
Location: Customer Experience Theatre
Time: 11:50 - 12:20
Speaker: Charlotte Emms
Organisation: seenit
About: How do you get your colleagues interested in the power of data? Taking you through Seenit’s journey using Couchbase's NoSQL database to create a regular, fully automated update in an easily digestible format.
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
Date: 14th November 2018
Location: Governance and MDM Theatre
Time: 10:30 - 11:00
Speaker: Mike Ferguson
Organisation: IBS
About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up?
In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.
Date: 13th November 2018
Location: Governance and MDM Theatre
Time: 12:30 - 13:00
Organisation: Immuta
About: Artificial intelligence is rising in importance, but it’s also increasingly at loggerheads with data protection regimes like the GDPR—or so it seems. In this talk, Sophie will explain where and how AI and GDPR conflict with one another, and how to resolve these tensions.
Big Data LDN 2018: REALISING THE PROMISE OF SELF-SERVICE ANALYTICS WITH DATA ...Matt Stubbs
Date: 13th November 2018
Location: Governance and MDM Theatre
Time: 11:50 - 12:20
Speaker: Mark Pritchard
Organisation: Denodo
About: Self-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure.
Join us to learn how data virtualization will allow you to gain real-time access to enterprise-wide data and deliver self-service analytics. We will explore how you can seamlessly unify fragmented data, replace your high-maintenance and high cost data integrations with a single, low-maintenance data virtualization layer; and how you can preserve your data integrity and ensure data lineage is fully traceable.
Big Data LDN 2018: TURNING MULTIPLE DATA LAKES INTO A UNIFIED ANALYTIC DATA L...Matt Stubbs
Date: 13th November 2018
Location: Governance and MDM Theatre
Time: 11:10 - 11:40
Organisation: TIBCO
About: The big data phenomenon continues to accelerate, resulting in multiple data lakes at most organisations. However, according to Gartner, “Through 2019, 90% of the information assets from big data analytic efforts will be siloed and unusable across multiple business processes.”
Are you ready to unleash this data from these silos and deliver the insights your organisation needs to drive compelling customer experiences, innovative new products and optimized operations? In this session you will learn how to apply data virtualisation to: - Access, transform and deliver data from across your lakes, clouds and other data sources - Empower a range of analytic users and tools with all the data they need - Move rapidly to a modern and flexible data architecture for the long run In addition, you will see a demonstration of data virtualisation in action.
Big Data LDN 2018: CONSISTENT SECURITY, GOVERNANCE AND FLEXIBILITY FOR ALL WO...Matt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 12:30 - 13:00
Organisation: Cloudera
About: The growth of public cloud is reinforcing the need to think more carefully about taking a consistent approach to data governance as technology teams build out a flexible and agile infrastructure to meet the demands of the business.
Join this session to learn more about Cloudera's recommended approach for enterprise-grade security and governance and how to ensure a consistent framework across private, public and on-premises environments.
Big Data LDN 2018: MICROLISE: USING BIG DATA AND AI IN TRANSPORT AND LOGISTICSMatt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 11:10 - 11:40
Organisation: Microlise
About: Microlise are a leading provider of technology solutions to the transport and logistics industry worldwide. Discover how, with over 400,000 connected assets generating billions of messages a day, Microlise is evolving its platform to bring real-time analytics to its customers to improve safety, security and efficiency outcomes.
Big Data LDN 2018: EXPERIAN: MAXIMISE EVERY OPPORTUNITY IN THE BIG DATA UNIVERSEMatt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 10:30 - 11:00
Speaker: Anna Matty
Organisation: Experian
About: Today there is a widespread focus on the 'how' in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer? But, how do you move to a place where you are not only solving a problem, you are redesigning the entire strategic potential of that problem? You are being armed with insight on what the problem is.
Data and innovation offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight. Data science can present a unique opportunity for uncovered growth and accelerate your business through strategic innovation – fast. In this session you will hear more about how today's analytics can move from a single task, to an ongoing strategic opportunity. An opportunity that helps you move at the speed of the market and helps you maximise every opportunity.
Big Data LDN 2018: A LOOK INSIDE APPLIED MACHINE LEARNINGMatt Stubbs
Date: 13th November 2018
Location: Data-Driven Ldn Theatre
Time: 13:10 - 13:40
Speaker: Brian Goral
Organisation: Cloudera
About: The field of machine learning (ML) ranges from the very practical and pragmatic to the highly theoretical and abstract. This talk describes several of the challenges facing organisations that want to leverage more of their data through ML, including some examples of the applied algorithms that are already delivering value in business contexts.
Big Data LDN 2018: DEUTSCHE BANK: THE PATH TO AUTOMATION IN A HIGHLY REGULATE...Matt Stubbs
Date: 13th November 2018
Location: Data-Driven Ldn Theatre
Time: 12:30 - 13:00
Speaker: Paul Wilkinson, Naveen Gupta
Organisation: Cloudera
About: Investment banks are faced with some of the toughest regulatory requirements in the world. In a market where data is increasing and changing at extraordinary rates the journey with data governance never ends.
In this session, Deutsche Bank will share their journey with big data and explain some of the processes and techniques they have employed to prepare the bank for today’s challenges and tomorrow’s opportunities.
Brought to you by Naveen Gupta, VP Software Engineering, Deutsche Bank and Paul Wilkinson, Principal Solutions Architect, Cloudera.
Big Data LDN 2018: FROM PROLIFERATION TO PRODUCTIVITY: MACHINE LEARNING DATA ...Matt Stubbs
Date: 14th November 2018
Location: Self-Service Analytics Theatre
Time: 13:50 - 14:20
Speaker: Stephanie McReynolds
Organisation: Alation
About: Raw data is proliferating at an enormous rate. But so are our derived data assets - hundreds of dashboards, thousands of reports, millions of transformed data sets. Self-service analytics have ensured that this noise is making it increasingly hard to understand and trust data for decision-making. This trust gap is holding your organisation back from business outcomes.
European analytics leaders have found a way to close the gap between data and decision-making. From MunichRe to Pfizer and Daimler, analytics teams are adopting data catalogues for thousands of self-service analytics users.
Join us in this session to hear how data catalogues that activate data by incorporating machine learning can:
• Increase analyst productivity 20-40%
• Boost the understanding of the nuances of data and
• Establish trust in data-driven decisions with agile stewardship
Big Data LDN 2018: DATA APIS DON’T DISCRIMINATEMatt Stubbs
Date: 13th November 2018
Location: Self-Service Analytics Theatre
Time: 15:50 - 16:20
Speaker: Nishanth Kadiyala
Organisation: Progress
About: The exploding API economy, combined with an advanced analytics market projected to reach $30 billion by 2019, is forcing IT to expose more and more data through APIs. Business analysts, data engineers, and data scientists are still not happy because their needs never really made it into the existing API strategies. This is because most APIs are designed for application integration, but not for the data workers who are looking for APIs that facilitate direct data access to run complex analytics. Data APIs are specifically designed to provide that frictionless data access experience to support analytics across standard interoperable interfaces such as OData (REST) or ODBC/JDBC (SQL). Consider expanding your API strategy to service the developers with open analytics in this $30 billion market.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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