An insight into the analysis of the ever growing data management tasks IT departments face today. This webinar will highlight the challenges faced by IT departments from big data in terms of explosive data growth. It will focus on the problems faced by organizations who are now storing, processing and retaining exponentially more data than previously, to the issues around legacy systems and their ability to cope and will offer solutions to these ongoing challenges.
RecordedSep 18 201246 mins
Your place is confirmed, we'll send you email reminders
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 Mitchell Murphy, 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
Light up your world with a whole new level of insight from your data. It’s your data and your analytics and your opportunity to take your business to the next level. While you leave your data where it is, how do you propel your team and your organization forward? Join the Qlik Visualize Your World Virtual Talkshow and hear how Qlik’s cloud-ready analytics platform delivers value for you and how Qlik is building on its unique Associative Difference to drive a new wave of analytics that allows you to augment your intelligence across all your data, people and ideas. Featuring:
•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
Internet of Things (IoT) envisions that everything in the physical world is connected seamlessly and is securely integrated through Internet. New products are innovated under the umbrella of IOT and opening up different opportunities. This webinar will discuss the future potential of IOT and the trend in which it is moving in adoption and standardisation.
David Sheehan, Senior Customer Scientist, MoneySuperMarket
Football (or soccer to any American readers) is full of clichés: “It’s a game of two halves”, “taking it one game at a time” and “Liverpool have failed to win the Premier League”. You’re less likely to hear “Treating the number of goals scored by each team as independent Poisson processes, statistical modelling suggests that the home team have a 60% chance of winning today”.
This webinar will introduce some basic statistical models that have been devised to predict the results of football matches. It won't help you make lots of money, but you will learn about programming, statistics and modelling through this fun intuitive topic.
Mari Hermanns, Head of Business Intelligence at Solaris Bank
Today most companies collect more data than ever and as we all know: data is the new oil. However gaining insights and turning them into action is easier said than done. In my experience this is a challenge for many companies, including innovative FinTechs.
In order to create a data driven business and organisational culture it is important to integrate data collection and an appreciation for data driven truth from the starting of a venture. This webinar is a brief overview of the hurdles and challenges BI faces in growing FinTech companies and how they can be overcome. Furthermore this webinar will briefly mention new BI trends and tools and how they could impact businesses.
Big Data has increased the demand for big data management solutions that operate at scale and meet business requirements. Big Data organizations realize quickly that scaling from small, pilot projects to large-scale production clusters involves a steep learning curve. Despite tremendous progress, critically important areas including multi-tenancy, performance optimization, and workflow monitoring remain areas where the operations team still needs management help.
Intended for enterprises who already have a data lake or are setting up their first data lake, this presentation will discuss how to implement data lakes with operations tools that automatically optimize clusters with solutions for monitoring, performance tuning, and troubleshooting in production environments.
Sean is the co-founder and CTO of Pepperdata. Previously, Sean was the founding GM of Microsoft’s Silicon Valley Search Technology Center, where he led the integration of Facebook and Twitter content into Bing search. Prior to Microsoft, Sean managed the Yahoo Search Technology team, the first production user of Hadoop. Sean joined Yahoo through the acquisition of Inktomi, and holds a B.S. in Engineering and Applied Science from Caltech.
Public cloud deployments have become irresistible in terms of flexibility, low barriers to entry, security, and developer friendliness. But the sheer inertia of traditional data lakes make them difficult to transition to cloud. In this talk we'll look at examples of how leading companies have made the transition using open source technologies and hybrid strategies.
Instead of following a "lift and shift" strategy for moving data lake workloads to the cloud, there are new considerations unique to cloud that should be considered alongside traditional approaches related to compute (eg, GPU, FPGA), storage (object store vs. file store), integrations, and security.
Viewers will take away techniques they can immediately apply to their own projects.
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.
Subscribe to this channel to learn best practices and emerging trends in a variety of topics including data governance, analysis, quality management, warehousing, business intelligence, ERP, CRM, big data and more.