Make Data Work

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11:45am - 12:25pm    05th May 2015    London, UK 

Improving feature engineering in the lab and production with Ivory

Feature engineering is a critical and time-consuming activity in the development and deployment of any modeling pipeline. It is also exacerbated as data science teams seek to incorporate new data sources into their pipelines that are at a scale far larger than previously employed. Furthermore, the transition to production environments is littered with complexity as these pipelines are exposed to the dynamic, and fragile, world of ongoing data feeds, data corrections, and evolving data models.

In this talk we will introduce Ivory, a new open-source, Hadoop-based data store that seeks to address these challenges. Ivory is a scalable and extensible data store for storing facts and extracting features. It is optimised specifically for the feature engineering stages of modelling pipelines, simultaneously simplifying and adding rigour to them.

This session will walk through an example of how Ivory can be used in the typical data scientist’s workflow, and then how that extends to migrating pipelines into production. It will impart all of the basic concepts of Ivory such as repositories, the dictionary, its fact-based data model, and virtual features. It will also demonstrate the benefits of Ivory being an immutable data store and the unique opportunities that creates.

Ben Lever is a co-founder and the CTO of Ambiata, a startup focused on creating products that allow organisations to take a more scientific and automated approach to business. At Ambiata he has lead the deployment of large scale machine learning systems into enterprises in industries such as finance, telecommunications, retail, and insurance. Before Ambiata, Ben previously led an engineering and research team at NICTA, as well as started the open source Scoobi project.

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Data for Good

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11am - 1pm    27th May 2015    Museum of Contemporary Art 140 George Street, The Rocks NSW 2000 


Every day, whether we like it or not, we each generate new data about our lives, giving clues about our health, wealth and even our happiness.

Data is being used to improve – even revolutionise – the way we live our lives. But it seems something is holding us back from even faster progress: fear.

What are we scared of? And are these fears valid? Is it possible that we need to shift our thinking from “data is evil” to “data is just data”? And do we need to overcome our fear to really start to enjoy the benefits of longer, healthier, wealthier and happier lives?

Join Ticky Fullerton (ABC) and a host of industry figures to explore one of our time’s most important issues.

Dr Rami Mukhtar is co-founder and CEO of Ambiata and a practicing data scientist. Ambiata empowers enterprise to understand the truth and consequences of their decisions by rigorously measuring and connecting the customer response with their actions in order to ultimately optimise customer experience and value. Rami has worked closely with enterprise in telco, banking, insurance, retail and media sectors helping them to transform them from belief driven organisations to data driven ones.

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Predictive API’s Machine Learning as a Service

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5:30 PM    08th Aug 2015    Sydney 

Predictive APIs (PAPIs) provide cloud based machine learning services at scale and are rapidly gaining momentum as applications that leverage machine learning are built on mass.  We are fortunate to have four speakers that are here to present at the PAPIs 2015 conference in Sydney (Aug 6 – 7) to give us a preview into this exciting new area.

Please join us at Level 3, Sydney Hilton Hotel 488, George Street from 5.30pm.  The event will begin at 6pm.

This month, Big Data Analytics Meetup is teaming up withIAPA to bring you four companies at the forefront of this technology and learn about the new developments and trends in PAPIs and how to use them to harness the power of machine learning at scale.  We have the pleasure of having 4 of the international conference speakers from PAPIs 2015:

1) Danny Lange: General Manager at Amazon will present the Amazon Machine Learning

2) Yan Zhang: Data Scientist at Microsoft will present the Microsoft Azure Machine Learning

3) Konstantin Davydov: Software Engineer at Google will present the Google Prediction API.

4) Poul Petersen: Chief Infrastructure Officer at Big ML will take us through what others are doing with predictive technology.

This is a fantastic opportunity for us all to learn how to use machine learning in your apps and solutions.  It is a unique opportunity to meet the international leaders in this field.

Presentations will be 15 mins each and will be followed by Q&A. 

Read more here.