Establish data intelligence at first sight: Data Inventory is a new cloud-based app designed for self-service that automatically inventories and quality checks data to establish data intelligence quickly and easily. It unlocks data silos and fosters collaboration and reuse so that data professionals don't need to repeatedly build the same datasets. Boost data intelligence at speed: With new intelligent data preparation capabilities, Talend Pipeline Designer, a modern, cloud-based solution for building and deploying data pipelines, now provides an in-flight data quality feature that eliminates quality problems before the data is consumed or replicated. Additionally, no coding or complex transformations are required, which will help citizen integrators increase development and maintain productivity. Empower everyone with data intelligence at scale: Intelligent data quality with augmented intelligence uses machine learning to compare data matching so customers can empower everyone in the organization with data intelligence.

Before going to the world of integration, machine learning, etc., I would like to discuss with all of you about a scenario many of you might experience when you live in a mega city. I lived in the London suburbs for almost 2 years (and it's a city quite close to my heart too), so let me use London as this story's background. When I moved to London, one question which came to my mind was whether I should buy a car or not. The public transport system in London is quite dense and amazing (Oh!!! I just love the amazing London Underground and I miss it in Toronto).

Machine Learning is currently one of the hottest topics in IT. The reason stems from the seemingly unlimited use cases where machine learning can play from fraud detection to self-driving cars, and even identifying your'gold card' customers to price prediction. But what is the future for this fascinating field? What will be the next best thing? Where will we be in ten years time?