Getting to Caprica - Making VR Really Usable

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.

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.

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.

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.

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 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

Iver van de Zand will talk and demo on the latest SAP innovations for analytics in the cloud. Keywords are live connectivity and the closed loop of combined business intelligence, planning and predictive analytics all in one environment. Fully ready and prepared for big data.

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?

On December 2nd 2014, provoked by the impact of `Deep Learning’ and other recent scientific and technical advances in Artificial Intelligence, Professor Stephen Hawking released a terrifying warning about the coming technological singularity and the existential danger of AI: "The development of full artificial intelligence could spell the end of the human race. It would take off on its own, and re-design itself at an ever-increasing rate," Professor Hawking said. "Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded".

Fashions in AI come and go - and the hype around so called ‘Deep Learning’ networks is not without precedence - so what is it about ‘nouveau AI’ that warrants such alarm?

Conversely, in this talk, I will endeavour to situate recent technological landmarks more properly in their historical niche; concluding, by foregrounding the computationally-impregnatable barriers which remain between ‘Deep Minds’ and `Real Minds`.