BDW 2018 Bucharest Archives - Big Data Week Bucharest

Building your own cognitive data analytics on the Cloud

BDW Editor — Thu, 29 Mar 2018 15:40:51 +0000

In this session, you will find out how you can build cognitive data analytics solutions while maintaining full ownership of your valuable data.

Big Data and AI: Threat, Opportunity, Hype or our future?

BDW Editor — Tue, 27 Mar 2018 17:00:52 +0000

AI is going to cause the downfall of humanity or save the world. Which one depends on who you listen to! In this presentation, you will hear about the Microsoft view of AI. What is AI? How does it relate to things like Deep Learning? It will also discuss practical applications of AI through real-world...

Hands-on Workshop: Using Apache Spark & Azure Databricks to Understand Your Customers

BDW Editor — Tue, 27 Mar 2018 16:19:35 +0000

Big Data Hands-on Workshop: Using Apache Spark and Azure Databricks to Better Understand Your Customers

This is a hands-on, three-hour workshop which will allow you to experiment with Apache Spark running in the Azure Databricks platform. You’ll understand how you can use Spark and Azure Databricks to analyze large amounts of customer data, visualize the data to quickly spot patterns, use Spark’s Machine Learning library to generate predictions, and analyze real-time data from online sources (e.g. Twitter).

Agenda:

Introduction to Apache Spark and Azure Databricks
Hands-on Labs
1. Setting up Azure Databricks and creating Spark clusters
2. Accessing data from cloud storage
3. Interactive data analysis and visualization with Databricks notebooks, Spark SQL and Python
4. Build a product recommendations engine using Spark MLlib and collaborative filtering
5. Perform customer segmentation using Spark MLlib and clustering
6. Sentiment Analysis on real-time Twitter data, with Spark Streaming
Wrap-up

IMPORTANT: This is a hands-on workshop. Bring your own laptop (Windows, Linux, or Mac).

Big data and digital platforms – new business models and ethics

BDW Editor — Mon, 19 Mar 2018 16:28:04 +0000

How Artificial Intelligence impacts HR

BDW Editor — Mon, 19 Mar 2018 12:59:26 +0000

The most important thing managers and leaders do in an organization is to hire the right people for the right job. At the moment, the recruitment process has become a very dynamic one and is in constant change. We are currently facing an impressive increase in the use of technology and automation in almost every aspect of the recruitment industry. Will recruiters be replaced by robots and artificial intelligence?

Undoubtedly, the automation of the recruitment process and the integration of artificial intelligence and machine learning algorithms into these systems has brought a number of benefits and changed the way candidates are selected. Automating HR processes accelerates the selection of candidates, reduces the recruitment process time and costs by up to 40%, increases company performance by 20% and reduces the workload of HR employees and allows them to spend time with more creative and complex activities.

My presentation will address the state of the art developments and trends in automating recruitment and HR processes, with their pros and cons.

A Machine Learning Approach to IoT Security

BDW Editor — Fri, 16 Mar 2018 16:38:03 +0000

Today half of the population is connected online and there are around 8.4 billion IoT devices in use worldwide. These connected devices are smart, but not smart enough to ward off security vulnerabilities, as they are often shipped with default or poorly generated default passwords. There are extreme cases where no password is required to access devices or select services on those devices. It is estimated that currently 70% of the IoT devices are vulnerable to hijacking.

In the end, it remains only one obvious and affordable way to make IoT devices really smart and secure: machine learning. Let’s discuss how machine learning can make IoT devices safe for you.

Using Big Data Tools to Implement TeleMedicine

BDW Editor — Fri, 16 Mar 2018 16:35:20 +0000

More details will follow soon.

Workshop: Data Lake Platform

BDW Editor — Fri, 09 Mar 2018 11:56:22 +0000

Knowledge level: Intermediate

Language: English

Special requirements: Personal laptop

Short description:

The data industry is constantly growing, reaching tens of zettabytes, absorbing more and more areas. The rapidly changing data ecosystem pushes us to look for new ways of transforming our data storage into a pool of weighty data. In this workshop, you will learn that the usage of a mixture of open source technologies and proven solutions can provide a full stack service with a robust data platform that can manage information in a productive and qualitative way.

The first part of the workshop will introduce you to Datalakes and give you an accurate overview of data management systems within highly regulated industries. The following sections will cover the hot topics of a Datalake ecosystem: data ingestion, advanced analytics, data integration, real-time events, open metadata governance, data lineage, containers, and cloud.

The second part of the workshop provides hands-on introduction in designing a mock-up Datalake platform. In preparing the Datalake design, the participants will decide upon tooling and concepts that will help them build the foundation.

How to enable a self-service analytics culture in your organisation

BDW Editor — Tue, 06 Mar 2018 13:10:57 +0000

Organizations of all sizes are trying to explore and use analytics in their day-to-day business. Traditionally this was an IT-driven approach largely based on the fact, that analytic tools were too complex to use for business users and subject matter experts. The emergence of Self-Service Business Intelligence tools means a paradigm shift towards end-users, that are empowered to gain insights from data without having to rely on specialised IT resources. This talk is about innovation beyond fancy data visualizations and the dashboards and particularly tries to uncover topics to take into consideration when choosing an end-to-end analytics platform to enable a self-service analytics culture.

Processing data at scale with Google Cloud

BDW Editor — Fri, 23 Feb 2018 14:33:48 +0000

Data Engineering after Hadoop While Google’s MapReduce white paper was the basis of the now popular Hadoop ecosystem, Google is using next-generation scalable no-ops solutions to ingest, transform and analyze any amount of data, powering e.g. Google Search & Youtube. Find out how you can use the same to build end-to-end data pipelines for batch and...