Big Data in a Minute: Tackling Big Data of any Size with Hadoop
With big data financial and transactional data no longer in silos, we can now look at them together. Vince Walden, Ernst and Young partner, says that big data technologies allow them to look at data from all angles.
RecordedAug 7 20142 mins
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Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
AI is changing the way organizations do businesses and how they interact with customers. AI continues to drive the change. Deep Learning and Natural Language Processing will become standards in AI solutions. Deep Learning is based on brain simulations and uses deep neural networks. AlphaGo is the first AI system to defeat a professional human Go player, the first program to defeat a Go world champion, and arguably the strongest Go player in history. Baidu improved speech recognition from 89% to 99% using Deep Learning. Every AI and Machine learning scientist is required to know Deep Learning tools in his / her current job scenario.
In this session, we will be discussing what is Deep Learning and why it is gaining popularity. We will explain AI solutions using Deep Learning with a practical example. Deep Learning has an edge over other machine learning techniques as with the increased volume of data, performance increases with Deep Learning. Further, Deep Learning enables Hierarchical Feature Learning i.e. learning feature hierarchies.
In analytical reporting, often the data and presentation of it are perfect, but the data story falls flat. Looking to storytelling techniques from Hollywood, one can effectively drive home the point of their data and take their data visualizations to the next level.
Join Ted Frank, Principal at Backstories Studio for this webinar as he shows you the quick wins in storytelling, so right away, you can have your stakeholders understanding more and eager, on the edge of their seats. It starts with finding your key story and staying out of the weeds, then how to visualize it, and finally, how to deliver it so you get heard and make a bigger difference.
John Grimwade, Assistant Professor, School of Visual Communication, Ohio University
How do we cross the gap from complex information to a general audience? Democratizing data visualization is perhaps our greatest challenge. There’s an incredible amount of data viz around, but unfortunately most of it does not communicate clearly. At least not to the great majority of the public. It often seems cold and elitist, almost as if it’s designed for people with some training in understanding data. How do we improve this situation? First, we recognize the audience we’re trying to reach, and then we can use well-proven journalistic principles to build a visual presentation that connects with them.
John’s blog: “Infographics for the People” promotes this same message for all forms of visual communication.
In this presentation, he will explore new approaches that can unleash the enormous potential of data-driven storytelling to inform and empower the general public.
John teaches informational graphics to undergraduates and graduates in the School of Visual Communication at Ohio University. John has won 80 major infographic awards, and run workshops and lectured in many countries. He is currently infographics director for Eight by Eight, a soccer magazine that was the 2015 Magazine of the Year for design. In March 2017, an exhibition of his complete career (sponsored by Adobe), which covered both analog and digital visual explanations, was held at the INCH conference in Munich. This exhibition will be staged again at Ohio University in October this year.
Charalampos Xanthopoulakis, Data Visualizations Architect
Selling your house in the financial crisis-stricken Greece is up to this day a great ordeal. When faced with such a challenge, I was baffled by the sparsity of conclusive data on land value at my birthplace city, Thessaloniki. Embarking on a personal mission and collecting and processing more than 10K online housing ads together with open data, I managed to render an insightful interactive visualization of the actual real estate values on borough and city block level that was published through the Greek media. Join me on this thought process journey to find out how to
o Gather vast online data with simple scripting
o Combine your data with open data into meaningful structures
o Create interactive data visualizations that have an actual impact @ infographeo.com
This will be an interactive session, so please feel free to bring your thoughts and questions to share during the session.
RIDE is an all-in-one, multi-user, multi-tenant, secure and scalable platform for developing and sharing Data Science and Analytics, Machine Learning (ML) and Artificial Intelligence (AI) solutions in R, Python and SQL.
RIDE supports developing in notebooks, editor, RMarkdown, shiny app, Bokeh and other frameworks. Supported by R-Brain’s optimized kernels, R and Python 3 have full language support, IntelliSense, debugger and data view. Autocomplete and content assistant are available for SQL and Python 2 kernels. Spark (standalone) and Tesnsorflow images are also provided.
Using Docker in managing workspaces, this platform provides an enhanced secure and stable development environment for users with a powerful admin control for controlling resources and level of access including memory usage, CPU usage, and Idle time.
The latest stable version of IDE is always available for all users without any need of upgrading or additional DevOps work. R-Brain also delivers customized development environment for organizations who are able to set up their own Docker registry to use their customized images.
The RIDE Platform is a turnkey solution that increases efficiency in your data science projects by enabling data science teams to work collaboratively without a need to switch between tools. Explore and visualize data, share analyses, all in one IDE with root access, connection to git repositories and databases.
Andy Kriebel, Eva Murray, Paul Banoub, Emma Whyte, Josh Tapley, Simon Beaumont
Hear from our expert panel how they built a strong analytics culture in their organisations to enable data-driven decision-making.
We have invited Paul Banoub (UBS, United Kingdom), Emma Whyte (The Information Lab, United Kingdom), Simon Beaumont (NHS), and Josh Tapley (ComCast, United States) to discuss the following topics with us:
-How to find talented people and how to keep them engaged, challenged and motivated
-How to establish the right environment with processes and systems that foster innovation, learning, collaboration and analytical excellence
-How to setup best practices and governance while staying responsive to the organisation's need for information and insights RIGHT NOW
-How to make self-service analytics a success
During the panel discussion you have the chance to ask questions and get answers from our experts.
Presenters: Andy Kriebel, Head Coach at The Data School & Eva Murray, Head of BI and Tableau Evangelist at Exasol
Panel: Paul Banoub (Director, Analytics as a Service at UBS Investment Bank), Emma Whyte (Head of Centre of Excellence and Customer Advocacy at The Information Lab), Josh Tapley (Director, Data Visualization at Comcast)
Hélène Lyon, IBM, Distinguished Engineer, IBM Z Solutions Architect
IT is a key player in the digital and cognitive transformation of business processes delivering solutions for improved business value with analytics. This session will step by step explain the journey to secure production while adopting new analytics technologies leveraging mainframe core business assets
Rob Anderson, Head of Field Operations (Privitar),Tim Hickman, Associate (White & Case)
Today's modern businesses gain competitive edge and remain innovative by using advanced analytics and machine learning. Utilising big data can build customer loyalty by improving personalised marketing campaigns; optimises fraud detection; and improves products and services by advanced testing. However, the data sets required for advanced analytics are often sensitive, containing personal customer information, and therefore come with an inherent set of privacy risks and concerns.
This roundtable will cover a few key questions on data utility and privacy:
- In what ways advanced analytics help businesses gain competitive edge?
- What is defined as sensitive data?
- Will GDPR affect the way you're allowed to use customer data?
- What opportunities are there to utilise sensitive data?
Unlocking the data’s true value is a challenge, but there are a range of tools and techniques that can help. This live discussion will focus on the data analytics landscape; compliance considerations and opportunities for improving data utility in 2018 and beyond.
- A view of the data protection landscape
- How to remaining compliant with GDPR when using customer data
- Use cases for advanced analytics and machine learning
- Opportunities for maximising data utility in 2018
Mixed reality is the result of blending the physical world with the digital world. Though it is relatively new technology and its adoption is still in initial stages. Mixed Reality devices and applications are projected to be the next technological era after smart phones.
The webinar will give a brief on Mixed Reality Potential Usecases those provide an immersive experience but also revenues streams to the creators.
Data Scientists are rare and highly valued individuals, and for good reason: making sense of data, and using the machine learning libraries requires an unusual blend of advanced skills. Why is it then that Data Scientists spend the majority of their time getting data ready for models, and a fraction actually doing the high value work?
In this talk we introduce the concept of Data Fabric, a new way to provide a self-service model for data, where data scientists can easily discover, curate, share, and accelerate data analysis using Python, R, and visualization tools, no matter where the data is managed, no matter the structure, and no matter the size.
We will talk through the role of Apache Arrow, the in-memory columnar data standard that is accelerating analytics for GPU-based processing, as well as the role of Pandas and Arrow in providing unprecedented speed in accessing datasets from Python.
Vivit launches their first ever SIG Talk event with three speakers who will give you insights into StormRunner Functional, Dynamic data handling in performance tests as well as AI and machine learning as it applies to testing.
We will discuss:
How StormRunner Functional is the latest functional test offering from Micro Focus. In this session, Chris Trimper, an early adopter and beta tester, will share his experiences with this new product
How Virtual Table Server (VTS), in days of Mercury Interactive, was the often-overlooked repository for dynamically updated real-time test data. Even after a revamp and relaunch in 2014, many people still don't use it, but they should. Richard's VTS demo will help you to get value from this great add-on for LoadRunner and Performance Center
How Big Data, Artificial Intelligence and Machine learning are rapidly impacting businesses and customers, enabling another massive shift through technology enablement. In this session, Todd DeCapua will share how these capabilities are being leveraged in Performance Engineering now, and into the future.
Peter Bruce, President and Founder, The Institute for Statistics Education at Statistics.com
Artificial Intelligence (AI) is a hot topic, and there is widespread alarm that AI will replace humans in the analytical process. Adam Selipsky, the CEO of Tableau, terms this a myth, and said recently that AI's role will remain that of an assistant to the analytics professional.
In this talk we go beyond that, and look at some interesting aspects of the human role as an integral component of machine learning and statistical modeling.
We discuss how human expertise "supervises" machine learning, how reliance on multiple sources can deliver surprising expertise, and when that system can go wrong.
Vicki Howe, Head of Product Development, HouseMark; Jason Lee, CEO, illumr
This session explores what artificial intelligence can add to data analysis in the social housing sector. Is it better than traditional statistical techniques?
HouseMark is the leading provider of data analysis and insight solutions to social housing providers. Illumr took part in HouseMark’s accelerator programme introducing innovative technology start-ups to the social housing sector. HouseMark have worked with illumr to test out the appetite for AI and explore what insights can be gained using data typically held by social housing providers.
Dr Tom Parsons, Research Director and Dr Stuart Bowe, Data Scientist from Spotlight Data
Researchers generate huge amounts of valuable unstructured data and articles from research every day. The potential for this information is huge: cancer and pharmaceutical breakthroughs, advances in technology and cultural research that can improve the world we live in.
This webinar discusses how text mining and Machine Learning can be used to make connections across this broad range of files and help drive innovation and research. We discuss using Kubernetes microservices to analyse the data and then applying Machine Learning and graph databases to simplify the reuse of the data.
Eva Murray (Head of BI, Exasol), Andy Kriebel (Head Coach, The Data School), Amy Lee Walton (Designer, Mapbox)
Learn how to use maps to effectively visualize data for your audience.
Whether you work with big data or small data and regardless of the tools you use, you have probably at some point created a map to show where customers are located, which bus routes are the most efficient for getting to work or how people voted in your region.
Together with our friends from Mapbox we want to help you get better at putting data on the map!
Join us for this live webinar to learn when to use a map and when it’s better not to; find out some best practices for maps and how to use Mapbox maps in Tableau.
We’ll also show you how to build great interactivity with maps in Tableau dashboards and share some tips and tricks for working with maps.
JS Gourevitch, Luca Schnettler, Petra Wildermann, Anil Celik, Thomas Lethenborg
The data economy and digital technologies are deeply transforming almost all areas of our lives. One of the most heavily transformed revolve around insurance and healthcare with a number of really interesting development possibly redefining the way we take care of ourselves and the way we consumer and use insurance as well.
From harnessing the power of data to better help mental health patients, carers and medical personnel with their treatments to assessing the risk of developing broad range of illnesses and engaging better with users to propose them personalised healthy life plans to using big data and analytics to track down and prepare for epidemics to using data to better cover cars and drivers with car insurances and finally using social media data for insurers to better engage with customers, this webinar will propose a fascinating exploration of the opportunities, risks, new models supporting the digital transformation in banking.
Moderated by Jean-Stéphane Gourévitch
Luca Schnettler, CEO and Founder, HealthyHealth (UK)
Petra Wildermann, Business Development Director, Metabiota (Switzerland)
Anil Celik, Co-founder and CEO Urbanstats (US)
Thomas Lethenborg, CEO, Monsenso (Denmark)
Robert Fleming, Vice-President of International Marketing and Global Campaigns, Qlik
It's important to be aware of and respond to the key trends in Data Visualization now that we're heading into 2018.
Join this video panel, where you will learn:
-How to augment your intelligence across all your data, people and ideas
-Uncover and take advantage of new data sources
-Adjusting to the shift towards real-time enterprise
-Deployment of new workloads like IoT towards the cloud
-Why on-remise is still the predominant deployment model
-Democratising access to data
•Anthony Deighton, Chief Technology Officer and Senior Vice President, Products, Qlik
•Helena Schwenk, Big Data and Analytics Research Manager, IDC
•Mike Prorock, CTO and Founder, mesur.io
•Eduardo Di Monte, CEO of OYLO Trust Engineering, Cybersecurity Advisor for the Utilities sector.
•Geertjan Woltjes, Chief Operations Officer, Quooker
Managing and analyzing data to inform business decisions
Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource.
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