Readify (A Telstra Company): Data-driven Insights Tackle Complex Business Problems
Leah Scholten, Head of Data & AnalyticsReadify’s head of Data and Analytics Leah Scholten says the rise of AI accelerates the need for robust data integration.
“The volume, variety and velocity of data is growing exponentially, but collecting data is pointless unless we can make sense of it. Our team of technologists and data scientists deliver data-driven insights that tackle complex business problems,” Ms Scholten says.
“Data is a powerful tool that answers questions faster, with more insight and accuracy than any human. But for those outputs to be valuable, we need to ask the right questions. We work closely with our innovation and design practice on 'sense-making' to reduce the risk of doing the wrong thing really well.”
Readify’s approach to professional services has earned it the dedication of enterprise customers and technology vendors. As a training center for Microsoft.NET in 2001, Readify has become a gold standard partner, holding global certifications for Microsoft’s cloud, analytics, and DevOps offerings.
In 2016, Readify’s acquisition by Telstra, increased the company’s global footprint, delivering projects throughout Asia Pacific and UK.
“We build smart solutions to intelligently predict outcomes, support data-backed decision making and help customers optimize their investment or performance, improve productivity, automate supply chain management or improve customer experience,” says Scholten.
While many customers understand the benefits of using data, not all are ready to embrace new technologies to achieve those outcomes. Ageing on-premise infrastructure, orphaned applications and databases, disparate data sources and data sovereignty fears in a modernized environment are common challenges.
“Every industry can benefit from AI but there really isn’t a cookie-cutter approach to delivering data and design solutions, particularly as clients come to us at varying stages of maturity on their data journey,” says Scholten.
“We help clients understand their readiness to adopt AI, cloud, and analytics technologies to discover their application dependency, gain insights on infrastructure optimization, identify security gaps and risks, and map strategies for holistic application modernization.
“Hybrid cloud environments present challenges on how data is used across disparate sources, so the first step is to ensure clients have the right infrastructure in place.”
Once the architecture is in place, Readify plugs in modern business intelligence and analytics tools.
“These two steps help provide a strong ecosystem, ensure our customers have a robust infrastructure and the analytics in place to augment the work of our data scientists,” explains Scholten.
Data scientists build models, analytics and visualization solutions that turn complex, data into solutions that have an impact on business performance. “Our team is made of brilliant minds, from astrophysicists and aerospace engineers to economics PhDs, all of whom share a passion and a deep understanding of technology,” says Scholten.
Readify has rolled out innovative data solutions across a range of industries. For one energy client, Readify used data from the Australian Bureau of Meteorology to predict the likelihood of electricity outages across a network, using machine learning to identify the correlation between lightning strikes and power outages. “Our model is 97 percent accurate in predicting usually unpredictable, weather-related outages. This allows the network operator to redirect staff to re-establish power more quickly and has significant financial repercussions, as networks operators get penalized for outages,” explains Scholten.
“Industries like utilities and mining are already automating their environments and deploying smart grid technologies, but many other sectors can benefit from intelligent systems. Using commercial-grade drones and satellite images to collect crop data will be a game-changer for agriculture and farming for example. Most industries will benefit from AI,” concludes Scholten.
“Every industry can benefit from AI but there really isn’t a cookie-cutter approach to delivering data and design solutions, particularly as clients come to us at varying stages of maturity on their data journey,” says Scholten.
“We help clients understand their readiness to adopt AI, cloud, and analytics technologies to discover their application dependency, gain insights on infrastructure optimization, identify security gaps and risks, and map strategies for holistic application modernization.
“Hybrid cloud environments present challenges on how data is used across disparate sources, so the first step is to ensure clients have the right infrastructure in place.”
Once the architecture is in place, Readify plugs in modern business intelligence and analytics tools.
“These two steps help provide a strong ecosystem, ensure our customers have a robust infrastructure and the analytics in place to augment the work of our data scientists,” explains Scholten.
Data scientists build models, analytics and visualization solutions that turn complex, data into solutions that have an impact on business performance. “Our team is made of brilliant minds, from astrophysicists and aerospace engineers to economics PhDs, all of whom share a passion and a deep understanding of technology,” says Scholten.
Readify has rolled out innovative data solutions across a range of industries. For one energy client, Readify used data from the Australian Bureau of Meteorology to predict the likelihood of electricity outages across a network, using machine learning to identify the correlation between lightning strikes and power outages. “Our model is 97 percent accurate in predicting usually unpredictable, weather-related outages. This allows the network operator to redirect staff to re-establish power more quickly and has significant financial repercussions, as networks operators get penalized for outages,” explains Scholten.
“Industries like utilities and mining are already automating their environments and deploying smart grid technologies, but many other sectors can benefit from intelligent systems. Using commercial-grade drones and satellite images to collect crop data will be a game-changer for agriculture and farming for example. Most industries will benefit from AI,” concludes Scholten.
