Pre-Processing Big Data: Techniques to improve quality of big data analysis

Still confused about this whole Blockchain thing? Interested in investing in digital currencies, but not sure where to start? Want to get a better idea of the threats and opportunities?

David Siegel is a Blockchain, decentralization and business agility expert who has been a high-level management & strategy consultant to companies like Sony, Hewlett Packard, Amazon, NASA, Intel, and many start-ups. David has been praised for being able to explain Blockchain in the most simple and interesting way.

What you will learn:
-What is Bitcoin?
-What is the blockchain?
-What is Ethereum? What is Ether?
-What is a distributed application?
-What is a smart contract?
-What is a triple ledger?
-What about identity and security?
-What business models are at risk?
-What are the opportunities?
-What should we do?

The use of cloud object storage is ramping up sharply, especially in the public cloud, to reduce capital budgets and operating expenses. However, enterprises are challenged with legacy applications that do not support standard protocols to move data to and from the cloud.

Enterprises have developed strategies specific to the public cloud for Data Protection, Archive, Application development, DevOps, Big Data Analytics and Cognitive Artificial Intelligence. However, these same organizations have legacy applications and infrastructure that are not cloud friendly.

Object storage is a secure, simple, scalable, and cost-effective means of managing the explosive growth of unstructured data enterprises generate every day. Gateways enable SMB and NFS data transfers to be converted to Amazon’s S3 protocol while optimizing data with deduplication and providing QoS efficiency on the data path to the cloud.

This webcast will highlight the market trends toward the adoption of object storage and the use of gateways to execute a cloud strategy, the benefits of object storage when gateways are deployed, and the use cases that are best suited to leverage this solution.

Join this webcast to learn:
•The benefits of object storage when gateways are deployed
•Primary use cases for using object storage and gateways in private, public or hybrid cloud
•How gateways can help achieve the goals of your cloud strategy without
retooling your on-premise infrastructure and applications

HDFS on Kubernetes: Lessons Learned is a webinar presentation intended for software engineers, developers, and technical leads who develop Spark applications and are interested in running Spark on Kubernetes. Pepperdata has been exploring Kubernetes as potential Big Data platform with several other companies as part of a joint open source project.

In this webinar, Kimoon Kim will show you how to: 

–Run Spark application natively on Kubernetes
–Enable Spark on Kubernetes read and write data securely on HDFS protected by Kerberos

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.

There has been a flood of publicity around big data, data processing, and the role of predictive analytics in businesses of the future.
As business operators how do we get access to these valuable business insights, even when there is not a data analyst around to walk us through their results?

- Should your software emulate a data scientist?
- Learn about the power of data visualizations.
- Learn about creating value from disperse data sets.

What does the future hold?

Predictive Analytics - everyone is talking about it and many organisations claim to be doing it. But are they? And what insights do they gain to then make tactical or strategic changes? How can analysts work with decision makers by sharing results in a visually effective and meaningful way while also informing them about possible courses of action?

This webinar is presented by Andy Kriebel, Head Coach at the Data School and Eva Murray, Tableau Evangelist at Exasol. Our guest speaker on Predictive Analytics is Benedetta Tagliaferri, Consulting Analyst at The Information Lab.

The webinar will look at some examples of predictive analysis and will show data visualization examples that are actionable and can drive further questions and discussions in an organisation.

Looking to take your graphs to the next level? Want to make sure you choose the right visualization? Plagued by the challenges of geospatial heat maps?

Get your questions ready and join this session where data experts Carl and Brett will go over the common questions they get asked and answer all the data visualization issues you've been plagued with, including how to:

-Use location-based data to put your visualization on the map
-Uncover new relationships, patterns and opportunities
-Identify emerging trends
-Answering comparative business questions with set analysis
-Understand best practices for creating an aesthetically-pleasing and useful visualization

When analysis needs to be used by decision makers that didn’t create it, the communication of the information and the message it conveys becomes critical. There is a plethora of ways to layout reports and dashboards, even within a single company.
Enter the SUCCESS formula, that “lightbulb” moment.

Introduced by the IBCS Association (International Business Communication Standards) the SUCCESS formula provides conceptual, perceptual and semantic rules that enable faster, better, and less-costly results in all stages of business communications and decision-making processes.

This webinar will introduce the 7 Rules of SUCCESS that provides a toolkit to aid analysts in designing their visualisations for better reach and decisions in their target audience.

The webinar will also introduce The Philips journey to implementing IBCS principles in their global "Accelerate!” Initiative.

Tensorflow is an open source software library for numerical computation and machine learning.

Join this session where Marwa will discuss:

-Introduction to Artificial intelligence, machine learning and deep learning
-Sample of machine learning applications
-Tensorflow Story, Model and windows installation steps with object recognition demo.

Artificial intelligence has greatly changed the way we live since the 20th century. It involves the science and engineering of making machines intelligent and autonomous using computer programs.

The processing power of computers has been on the exponential increase with cost of processors and storage decreasing. This has made research and developments efforts in AI areas such as deep learning, once thought to be impossible possible.

In this webinar, we will examine current methods, application domains of specific methods, their impacts on our daily lives and try to answer questions on ethics of applying these technologies.

Join this webinar where data expert Wim Stoop from Cloudera will answer all of your Machine Learning & AI questions live.

Wim will also go over some frequently asked questions on Machine Learning and AI such as:

- Why is machine learning and AI crucial to master for organisations?
- What components are needed to take advantage of data science?
- Which use cases drive the greatest value?

Artificial Intelligence (AI) is not a technology for the future; it’s a huge business opportunity for today. But how can your organisation become a trailblazer for AI innovation, transforming the way you work to deliver immediate – and lasting – bottom line value?

Former CERN scientist, Prof. Dr. Michael Feindt, is one of the brightest minds in Machine Learning. Join him for a 30-minute masterclass in how to apply AI to your business.

You’ll learn how AI can:
•Make sense of market and customer complexity, to deliver quick and effective decisions every single day
•Increase workforce productivity to improve output and staff morale
•Enhance decision-making and forecasting accuracy, for operational efficiency and improved productivity
•Be implemented into your business quickly, easily, with minimal disruption

Michael will also share real-life examples of how international businesses are using AI as a transformation tool, from his experience as founder of market-leading AI solution provider, Blue Yonder.

Analytics risks can keep you up at night. What if…
· We make a big investment and don’t break even?
· Management doesn’t trust the results?
· Analysts cross data privacy boundaries?

What a dilemma! You see the perils, yet you want the rewards that analytics can bring. The appropriate process enables you to dramatically reduce risks and maximize returns on your data and analytics investment.

In this presentation, you will learn:
· What causes most analytics failures
· How you can diminish risk and maximize returns through strong analytics process
· Why you (yes, you!) have a pivotal opportunity to establish high standards for analytics process right now