In the complexity of Big Data lies the core of truth - the master data. In order to get real value and take control of Big Data and turn Big Data into a true representation of your business you need to take control of that core. In this presentation you'll learn how to differentiate the core from the rest and how taking control significantly increases the impact, and volumes, of master data you can work with as well as acting as a way to protect the value of that information.
RecordedSep 18 201245 mins
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Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
Data visualization must be intuitive in order for non-IT business leaders to see data patterns. Representing data in a graphical or pictorial format is easy, but constructing the data in the best and most logical way can be tricky.
In this session, Umesh will talk about how to represent data simply to make quicker and better business decisions. He will walk through several data visualization techniques through business cases and examples. By the end of the session, you will not only know different data visualization techniques, but also have an understanding of circumstances under which each technique should be used and the best way to represent particular data sets for different business cases.
Rafael San Miguel Carrasco, Senior Specialist, British Telecom EMEA
This case study is framed in a multinational company with 300k+ employees, present in 100+ countries, that is adding one extra layer of security based on big data analytics capabilities, in order to provide net-new value to their ongoing SOC-related investments.
Having billions of events being generated on a weekly basis, real-time monitoring must be complemented with deep analysis to hunt targeted and advanced attacks.
By leveraging a cloud-based Spark cluster, ElasticSearch, R, Scala and PowerBI, a security analytics platform based on anomaly detection is being progressively implemented.
Anomalies are spotted by applying well-known analytics techniques, from data transformation and mining to clustering, graph analysis, topic modeling, classification and dimensionality reduction.
Andy Kriebel, Head Coach at The Data School, Tableau Zen Master & Eva Murray, Tableau Evangelist at EXASOL, Tableau Trainer
Whenever there is data, there is the chance to visualize it and gain valuable insights that can drive change and improvements. Governments have realized the potential that data holds for transforming our towns, cities, living spaces and communities to better address the needs of our modern society.
Governments may want to change public transport services to suit commuters who move away from city centers due to increasing living costs, or develop programs that deliver more support services to areas showing high incidences of mental illnesses, or simply monitor bike traffic to assess the necessity of additional cycle lanes and bike share programs in our capitals. Data and data visualization can help us identify the needs of our communities and can support us in addressing them effectively.
In this webinar Andy and Eva will present examples of Government using data visualization to improve services for communities and will share how you can get involved through analyzing open data and becoming part of the wider 'dataviz' community.
Michael Kuegeler, Principal Solution Architect Magic Software
We will examine challenges regarding business model design in the emerging context of the Internet of Things (IoT).
An unrefined IoT business model implies a significant risk in terms of investment and implementation.
The key question is, "How can IoT application models be subjected to a reality check taking into account challenges pertaining technology, organization and target markets?"
Moving from A-B is slowly being revolutionised through data. Car-sharing and ride-hailing are just the beginning. Thousands of connected devices are currently monitoring data points, and although stand-alone analysis can be useful, true innovation occurs when these data sets are combined to transform into something new.
In the near future, IoT data explosion and the API revolution will collide to change city planning, urban movement and the role of the car in the 21st century.
First off, we set out to understand what big data means in the context of transportation, answering questions such as what is it, where is it coming from, and what can you do with it.
- Next, we'll zoom out and apply these learning to transport innovation in a wider context, considering how it will influence concepts such as urban movement, social mobility, and quality of life.
- Finally, we'll discuss the relationship between open data and innovation.
Dr. Boris Adryan, Head of IoT & Data Analytics, Zühlke Engineering GmbH
For decades “things” have been connected to the Internet. Embedded in carefully planned end-to-end solutions, the what and why of the data arising from these devices has often been hard-coded. In other words, in the M2M world, it is usually clear from the outset what is going to happen with the data. In a future IoT, this won’t necessarily be the case. In a world full of connected devices, the meaning and the potential of the device data is only going to become clear in the context where it is needed in.
But how can software tell that your connected thermometer is useful for a medical application, or that a car in the drive way is likely an indicator of your partner’s presence? This is where device catalogues, information models and ontologies come in handy.
While the talk is not specifically tailored towards a smart city focus, it should become clear how these technologies can be useful in such environment.
See how Netflix built its analytics in the cloud with Tableau and Amazon Web Services
Building out a data platform doesn't have to be like building a House of Cards, and our friends at Netflix know this better than anyone else. With 86 million members and counting, and more than 700 billion events per day, Netflix has had to expand their data capabilities by developing a scalable and flexible analytics platform built on Tableau and AWS.
Attend this webinar to hear from Albert Wong, analytics expert at Netflix, to see how they simplified their data stack by building a data lake/data warehouse strategy which allows Netflix to collect and store massive amounts of data, supporting thousands of Tableau users with managed data.
You'll learn about:
How to set up effective analytics on top of enormous data sets
How Netflix serves large groups of people with governed data
The details of Netflix's data lake/data warehouse strategy
How Netflix manages Hadoop with Tableau
Dr. Fahim Kawsar, Director of IoT Research at Nokia Bell Labs
We are observing a monumental effort from the industry and academia to make everything connected. Naturally, to understand the needs of these connected things, we need a better understanding of humans and where, when, and how they interact. This behavioural understanding would help us to create digital services and capabilities that fundamentally change the way we experience our lives.
In this talk, I will explore the system and algorithmic challenges in modelling human behaviour. I will discuss how mobile and wearable devices together with the wireless network can be used as a multi-sensory computational platform to learn and infer human behaviour and to design user-centred connected services across Enterprise, Urban City and Lifestyle.
Dr Fahim Kawsar leads the Internet of Things research at Bell Labs and holds a Design United Professorship at TU Delft. His current research explores novel algorithms and system design techniques to build transformative multi-sensory systems for disruptive mobile, wearable and IoT services. He borrows tenets from Social Psychology, learns from Behavioural Economics and applies Computer Science methods to drive his research. He is a frequent keynote, panel and tutorial speaker, hold 15+ patents, organised and chaired numerous conferences, (co-)authored 100+ publications and had projects commissioned. He is a former Microsoft Research Fellow and has worked before at Nokia Research, and Lancaster University. His work and publications can be viewed at http://www.fahim-kawsar.net.
BigData requires processing performance but even more it requires agility of your cloud analytics. Iver will demonstrate how today's SAP BusinessObjects Cloud has leading capabilities when used in a highly complex and dynamic environment accessing extreme data volumes.
Muralidhar Somisetty, Co-founder and CTO, Innohabit
Big data analytics is undoubtedly one of the most exciting areas in computing today, and remains an area of fast evolution. Thanks to the data deluge from millions of sensors from IoT networks, it is humanly impossible to analyse and make sense of the data from sensors without analytics tools and processes.
In this webinar, we will go over basics of big-data analytics, how analytics is different from traditional data warehouses or business intelligence systems, different tiers of data analytics etc., We will also see different use-cases of IoT from Smart Home to Transporation to Smart City context and how analytics can be applied for various use-cases for actionable insights.
Webinar also briefly touches upon machine learning tools / techniques that are available as-a-service on cloud today.
David Siegel, Blockchin, Decentralization and Business-agility Expert
David is a 22-time serial entrepreneur with 20 years in Silicon Valley and 13 years in New York City starting companies. He has written five books about the web and business. He's an expert in corporate culture, collaboration, innovation, design, typography, data, blockchain, crypto-investing, venture/angel investing, management, business, decentralization, macro economics, and dark chocolate. You can read some of his key essays here:
David is currently starting 20|30, an open platform for blockchain innovation. This is an ask-me-anything format with people typing in questions and david answering. He'll talk about current events in the world of blockchain and innovation, tell stories of working at Pixar, his new token offering, his new legal project, and you never know what will happen, so join the fun on June 1st!
Ask David your most challenging business question - he's happy to offer suggestions.
David Siegel, Angel Investor and Serial Entrepreneur
David has been an angel investor for 20 years and has worked with Steve Jobs, Ed Catmul, and others in Silicon Valley. He played a significant role in the development of the Worldwide Web, has written five books, and coaches startups. Last year he was a candidate to be the next dean of Stanford business school. This year, he’s starting his 22nd company.
In this 60-minute webinar, you'll learn what really causes startups to fail, why you shouldn't build an MVP, explore how you can use Kanban to improve team coordination, why understanding your market is more important than understanding your product, raising money from crazy investors, why you shouldn't go to business school, and building an agile culture. Here are some of his writings:
This webinar is for both early-stage investors and entrepreneurs at all levels.
Kevin McFaul and Roberta Wakerell (IBM Cognos Analytics)
There’s no denying the impact of self-service. IT professionals must cope with the explosive demand for analytics while ensuring a trusted data foundation for their organization. Business users want freedom to blend data, and create their own dashboards and stories with complete confidence. Join IBM in this session and see how IT can lead the creation of an analytics environment where everyone is empowered and equipped to use data more effectively.
Join this webinar to learn how to:
· Support the analytic requirements of all types of users from casual users to power users
· Deliver visual data discovery and managed reporting in one unified environment
· Operationalize insights and share them instantly across your team, department or entire organization
· Ensure the delivery of insights that are based on trusted data
· Provide a range of deployment options on cloud or on premises while maintaining data security
Andy Kriebel, Head Coach at The Data School, Tableau Zen Master & Eva Murray Tableau Evangelist at EXASOL, Tableau Trainer
Join Andy Kriebel and Eva Murray to hear about #MakeoverMonday, the popular social data project linking hundreds of members from the global data visualization community in an effort to create better charts and more useful data stories.
In this webinar Andy and Eva will share how Makeover Monday not only results in thousands of better data visualizations, but also helps people find their 'voice' in the community and land their dream jobs all while becoming better analysts and story tellers.
They will also discuss the challenge for week 20, present their own makeovers, and the design and thought process that went into them.
The need to combat fraud can make or break a company. Threats are at an all-time high, but thankfully so are the availability of tools to help us combat them. Modern fraud detection has significant engineering challenges. From managing the ingestion and scale, to the analysis of those patterns in real-time.
✓ How companies are fighting fraud using systems with graph technologies at their core.
✓ Tools, workflows, and techniques that drive critical tasks like fraud detection and regulatory compliance.
✓ A live demo of Cambridge Intelligence’s KeyLines technology, showing a visual approach to transforming data from DSE Graph into valuable intelligence that helps to detect, predict and prevent fraud.
Priyanka Mane, Technology Consultant at Saviant Consulting
Join this webinar to learn:
1. What is Power BI?
a. More power to Business Inteligence
2. Why Power BI?
a. Which data sources we can connect and analyse with Power BI?
b. How to connect those data sources to Power BI?
c. What is the role of R as a data source?
d. How to visualise and Analyse?
i. Design skills
ii. Tips and tricks
iii. Analytics patterns
1. Custom visuals
2. R Custom visuals (Predictive Analytics)
4. What about Backend Management?
a. Excel / Azure SQL / Azure Storage or Other
b. Custom Tables / Columns / Measures
i. What / Why / How?
5. Power BI Updates
b. Power BI Community for queries and request/issues updates
i. How to use this?
Ben Matthews (BCS Consulting), Taylor Gerring (Ethereum), Greg Jendroszczyk (Piwik PRO), George Wilson (Tallysticks)
The discussion of data and identity rights is not a new one. However, with the upcoming GDPR in May 2018, the questions on the future of self-sovereignty are on the rise.
Blockchain technology has been predicted to become a major gamechanger to how we address security concerns with data protection and authentication. With banks and other financial institutions holding some very precious data, it has never been more apt than now, to discuss the challenges head-on.
Join this panel where experts will tackle:
-How is Blockchain securing the Internet?
-Biometrics vs password authentication
-Should users have full control of their identity?
-How can Blockchain help with KYC/AML challenges?
-The Impact of GDPR on the Financial Services community: How do banks and FinTech start-ups prepare?
Managing and analyzing data to inform business decisions
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