NoSQL, Hadoop and MapReduce: Building a Modern Data Infrastructure that Works

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

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.

The majority of industries are embracing artificial intelligence (AI) and machine learning (ML) to ensure their clients’ experience is the best it can be. However, the mainstream asset management industry is way behind the curve.

This presentation will give an introduction to AI & ML, looking at what it is and how it is being used with real world examples. The presentation will then look at how the financial industry is currently using AI and the developments in progress.

We will end with how Sanlam believes AI can help the asset and wealth management businesses.

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.

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.

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.

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.

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.

Many organisations aspire to become digital, data driven enterprises. In these organisations data is viewed as a critical asset, both to generate new digitally based products and services, and to guide and improve business operations and decision making. But many companies are failing to live up to this aspiration. They struggle to develop and implement data strategies that align with, and help to deliver, new business strategies.


This webinar will explore what becoming ‘data driven’ really means, examines some of the reasons why many organisations are failing to realise their ambitions, and propose ways of overcoming the challenges. Key to these is a strong emphasis on the increasingly critical importance of established data management disciplines, especially Data Governance, Data Quality and MDM, which all have a critical role to play in the digital business of the future.

This session will explore:


•What is a data driven organisation and how does it differ from a traditional company?
•The main challenges of creating a data driven organisation
•Building a data driven capability - the role of business and IT
•The central importance of a business aligned Data Strategy and how to achieve it
•Why a successful data strategy needs an integrated focus on Data Governance, Data Quality and MDM

The concept of Data lakes evolved to address challenges and opportunities in managing big data.

Organizations are investing massive amounts of time and money to upgrade existing data infrastructures and build data lakes whether on-premises or in the cloud.

This talk will discuss architectures and design options to implement data lakes with open source tools. Also covered are challenges of upgrade & migration from existing data warehouses, metadata management, supporting self-service and managing production deployments.

As an Enterprise customer, you are potentially using IBM Z in a hybrid cloud implementation. Let's understand how to benefit from cloud access to mainframe data without moving it outside z; thereby improving security, reducing integration challenges and answering your GDPR auditor's needs.

The Web is the most powerful communication medium and the largest public data repository that humankind has created. Its content ranges from great reference sources such as Wikipedia to ugly fake news. Indeed, social (digital) media is just an amplifying mirror of ourselves. Hence, the main challenge of search engines and other websites that rely on web data is to assess the quality of such data. However, as all people have their own biases, web content, as well as our web interactions, are tainted with many biases.

Data bias includes redundancy and spam, while interaction bias includes activity and presentation bias. In addition, sometimes algorithms add bias, particularly in the context of search and recommendation systems. As bias generates bias, we stress the importance of de-biasing data as well as using the context and other techniques such as explore & exploit, to break the filter bubble.

The main goal of this talk is to make people aware of the different biases that affect all of us on the Web. Awareness is the first step to be able to fight and reduce the vicious cycle of bias.

Ricardo Baeza-Yates areas of expertise are web search and data mining, information retrieval, data science, and algorithms. He is CTO of NTENT, a semantic search technology company based in California, USA since 2016. Before, he was VP of Research at Yahoo Labs, based first in Barcelona, Spain, and later in Sunnyvale, California, from January 2006 to February 2016. He also is part time Professor at DTIC of the Universitat Pompeu Fabra, in Barcelona, Spain, as well as at DCC of Universidad de Chile in Santiago.

Join us for the next webinar in the Bright Talk series of Advanced Analytics where we will discuss the future of advanced analytics, and how it can be shaped for everyone, regardless of technical expertise.  

In this webinar, Michal Becker, Business Analyst from QbeeQ will give a futuristic view of:

•Advanced Analytics - how far away are we?
•What are the steps needed to achieve the future of advanced
analytics
•How to make advanced analytics more tangible and
reachable for the average business user
•How will AI and Machine learning bring us closer to achieving
these goals

This webinar will also include practical, hands-on examples from Adam Blau, Product Manager Sisense who will discuss:

•Use case of machine learning, bots, and physical indicators to
advance analytics
•Easy to consume data that will allow advanced calculations to
be sent to a wider audience
•Advanced ranking mechanisms that helped a UK health
organization improve operations

Save your place in the future now.

In this talk we visualize geolocation data collected by our devices to find out more about ourselves.

In the course of our digital lives we share a lot of information about the things we do. We give our data freely in exchange for discount vouchers, free wifi or a scoop of ice-cream.
It's not just businesses who can access this information about us to better target their products.
In this webinar we look at geolocation data collected by our devices and bring it to live with visualisations to find out more about ourselves. We invite you to join us for this session and take what you learn to play with your own data.

Join this webinar where senior researches will present:

1) Big Data Integrator Platform
- Use of Docker and Docker swarm to realize a modular Big Data Platform

2) Semantic Analytics Stack
- Use of Big data distributed processing engines to leverage Scalable
processing for the Semantic Web (RDF data representation, Querying,
Inference, and Machine Learning)

3) Seven societal challenges in Big Data Europe
-Combination of different Big Data tools to create Big Data Value Chain
(Pipeline) for different Use cases representing the societal challenges