Getting to Caprica - Making VR Really Usable

Perhaps one of the buzziest of buzzwords for the past few years has been "Blockchain". But for those who are well-versed in the technology and the goings on of the industry, it is definitely more than just hype.

Join this session where a panel of experienced Blockchain specialists will discuss:

-Viability of Use Cases - Just because a centralized database can be more efficient doesn't mean it's the most viable

-Preventing Blockchain from Being Just a Trend - if blockchain isn't viable as the solution, it shouldn't be used

-Public vs Private Blockchain Use

-State of the Industry - Understanding that a lot of the platforms and frameworks are in their early stage of development and that support may not be readily available

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?

Today the payments industry faces a rebirth by necessity. Financial institutions process massive volumes of customer and payments transaction data, much of it unstructured and untapped.

Cognitive Systems have the ability to understand, reason and learn. In Financial Services applying cognitive capabilities to real world payments issues like safer and faster payments is yielding significant results. Furthermore Risk and Compliance and segment of one engagement are areas where ROI is tremendous when leveraging advanced analytics and artificial intelligence in cohesion.

Learn from real world use cases of how financial institutions globally have gained significant competitive advantage by becoming a truly Cognitive Bank.

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.

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. Guest speakers on Predictive Analytics are Benedetta Tagliaferri, Consulting Analyst at The Information Lab and Matthew Reeve, Chief Data Wrangler at Exasol.

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.

Already know the basics when it comes to data visualization? Plagued by the challenges of geospatial heat maps? Want to really take your graphs to the next level?

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:

-Using location-based data to put your data visualization on the map
-In-memory data discovery and exploration
-Common pitfalls of mobile BI
-Achieving governance for data visualization
-What-if scenarios and interactive capabilities
-Best practices for creating an aesthetically-pleasing and useful visualization

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:

-Is AI going to eclipse Hadoop?
-What are some tips and tricks for mastering deep learning?

Introduction to Artificial intelligence, machine learning and deep learning. sample of machine learning application. Tensorflow is an open source software library for numerical computation and machine learning.Tensorflow Story, Model and windows installation steps with object recognition demo.

Today businesses of varying sizes, products and services, and industries are actively applying Predictive Business Analytics in seeking to improve greater customer engagement and resulting increased revenues and profits. Often these businesses are looking to their finance group to guide, if not lead, these efforts to successful outcomes.

In a recent article written by Ray Tong, he cited a CFO magazine survey that:
• Over 70% of respondents said that they plan to substantially increase the use of data analytics to support decision making and improve business partnering;
• 68% of respondents, the majority of who were finance executives, said that they plan to improve their data analytic skills in the coming year.

Consequently, it is essential that the financial professional understands what it is going to take for them to succeed.

This webinar discusses the five (5) keys to applying Predictive Business Analytics in your organization. It provides attendees with specific and practical insights to guide their approaches to develop and deploy an effective process that improves managerial decision making across many core performance and financial areas.

What you will learn:

• What are the key steps to success with practical examples
• What steps to avoid
• How to ensure and gain organizational impact

Larry Maisel a recognized author and thought leader in Business Analytics, with experience assisting companies to improve operating performance and business results. An accomplished business professional, with over 20+ years of experience, with proven leadership skills, expertise to drive bottom-line profits and implementing business systems.

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

Humans have been protecting our complex network infrastructures for decades with varying degrees of success, while eusocial insects such as ants are capable of withstanding countless attacks on their networks.

This presentation is about what ants in general and Leafcutter Ants in particular approach security and how we can learn from these survivors of millions years of warfare.

You will learn:
-How social insects (ants) are dealing with predictive analysis
-Applying the defense mechanism of ants on threat intelligence
-How information sharing and communication can lead to better security
-Data and Identity Management

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.