Tag: Data Science

Watson Conversation WCS Intent design

October 19, 2017

By Jeremiah Mannings Consultant in Melbourne Introduction This series of articles is designed to offer a useful overview of the capabilities and functions of the Watson Conversational API to use in your own projects. For the next few articles, a banking/finance type demo will be used to explain the concepts. There will be a number

Best Place to Work 2017

August 30, 2017

This is the 8th consecutive year that Altis has been recognised as one of the 50 Best Places to Work in Australia   “This is a testament to our unwavering focus on our ethos of ‘Connecting with Courage, Heart, and Insight’” said John Hoffman, CEO of Altis. “We are passionate believers that an engaged team

The world of Bots

April 27, 2017

We are starting to see the real-world application of artificial intelligence and in particular Bots becoming more common in the business world.  Often when meeting with our clients the conversation turns to Bots and what and how can they help businesses. In fact, according to Gartner’s top 10 near-term predictions for technology By 2020, “the

Our experiment with Sentiment Analysis on Yammer

March 16, 2017

Big data is pervasive today but many organisations are still struggling to understand where it fits into their technology and business landscape and to define a suitable use case to get started with Big Data. At Altis, we’ve been exploring different use cases for Big Data and our team have built a Sentiment Analysis tool

Will Microsoft Azure meet your real-time analytic needs?

March 2, 2017

Sara Handel, one of our Melbourne consultants, recently undertook a Proof of Concept  for real-time streaming analytics on network sensor data for a utility client using Microsoft Azure Streaming.  In this blog Sara shares some of her key takeaways from this project. Microsoft Azure Streaming is straightforward and you can quickly setup a streaming solution

A Crash Course in Survival Analysis: Customer Churn (Part III)

February 17, 2017

Joshua Cortez, a member of our Data Science Team, has put together a series of blogs on using survival analysis to predict customer churn. This is the third and final blog of this series. Survival Regression Knowing how long customers stay is all well and good, but what if we want to know the factors

A Crash Course in Survival Analysis: Customer Churn (Part II)

February 8, 2017

Joshua Cortez, a member of our Data Science Team, has put together a series of blogs on using survival analysis to predict customer churn. This is part two of the blog series. Survival Curves The survival curve is fundamental in survival analysis. It tells us the probability that a customer will still be subscribed to

A Crash Course in Survival Analysis: Customer Churn (Part I)

January 31, 2017

Joshua Cortez, a member of our Data Science Team, has put together a series of blogs on using survival analysis to predict customer churn. This is part one of the blog series. Introduction Customer churn is familiar to many companies offering subscription services. Simply put, customer churn is the event of a customer opting out

Six takeaways from the TDWI Conference

October 19, 2016

James Black from our Sydney office recently attended the TDWI conference “Analytics across the Enterprise” earlier this month in San Diego, California. Here he shares his key takeaways from the conference. The main theme of the conference was developing insight-driven organisations that succeed in using analytics to create real business impact.   As with all

What can data science and analytics offer business and government

July 6, 2016

Thousands of businesses collect vast quantities of data, yet they struggle to turn the potential knowledge and insights into business advantage. Although the task can seem massive, the benefits can be great, allowing organisations to unlock additional sources of revenues and efficiencies. For some organisations such as those in the utilities and human services sectors,

Altis invests in leading predictive analytics outsourcing and training business

May 30, 2016

By 2020, 75% of large and midsize organisations globally will compete using advanced analytics and proprietary algorithms according to Gartner.  So what’s stopping businesses from using analytics and proprietary algorithms to drive their business forward? The biggest hurdle is the availability of qualified and experienced data scientists. McKinsey projects that by 2018 the demand for