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What It Takes to Get the ‘Data Guardrails’ Right

AI has emerged at the forefront of data innovations. But it is also raising critical business challenges such as data security, governance – and how to focus on the right data sets that are ‘deemed important.’

According to Jacqui Drew, GM of the BI focused business unit at Pronto Software, a big part of setting the guardrails right starts with data governance – and knowing what data is being used to derive these business insights.

ChatGPT has had such a profound sort of impact, because everyone can now see the context of what artificial intelligence can actually provide businesses. And it has really opened the conversation and changed the dialogue around how to trust the information that is coming out of these algorithms,” she says.

“Not only that, but how do you trust the information that is being presented in the marketplace? And we’ve all seen the Photoshop generation, where celebrities are photoshopped into strange and interesting places. So of course, in that trust economy, how do you believe what you see and what you read?”

“It’s also true for what we’re seeing with business intelligence – how do you trust the insights that have been generated? And how do you trust the data that you are feeding into these algorithms? Being able to verify the information is key.”

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The next generation of business intelligence

As a leading Australian provider of enterprise resource planning (ERP) solutions, Pronto Software recently announced it strengthened its long-standing relationship with IBM, launching a groundbreaking data integration suite of products called Pronto Xi BI Unlimited with IBM Cognos Analytics with Watson.

This collaboration is set to deliver even more advanced analytics and comprehensive insights for Pronto Software customers. Customers can gain a comprehensive view of their entire operations with unlimited data access to report and analyse all their critical business data together. This includes data from Pronto Xi ERP as well as other sources, such as external financial systems, sales tools, online websites, weather and weather forecast, foot traffic trends, PLC controllers and IoT.

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In addition to gaining access to unlimited data sources, customers will also be able to access deeper insights leveraging IBM Cognos Analytics’ Artificial Intelligence (AI) technology. AI has emerged at the forefront of data innovations.

“Businesses need to have a very profound understanding that their data security is key to their business,” Drew explains. “This means understanding what they can do within those confines to actually maximise their investment in AI, but also keeping a very close watch on what is happening in the industry. A lot of the IBM tool sets we work with have been designed for the organisation in mind, which does not compromise information and security.”

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Unlocking powerful business insights

Since 2018, IBM Cognos Analytics with Watson has provided users with advanced capabilities to simplify business intelligence, uncover data relationships and generate powerful business insights.

“We are delighted to strengthen our longstanding relationship with IBM through this innovative collaboration,” said Chad Gates, Managing Director at Pronto Software. “As the space of BI and AI continues to evolve, working closely with IBM allows us to deliver the right tools to our customers and facilitate their growth and maturity in using AI for data-driven decision-making.”

“Most organisations today understand the value of making decisions based on data insights, but successful ones will focus on whether these insights are framed, created and analysed effectively with accuracy based on data they can trust,” said Nicholas Flood, Managing Director of IBM Australia.

“We are proud to expand the long-standing partnership with one of Australia’s most innovative companies Pronto Software, and together bring AI-powered automation and insights to enable Australian organisations to unlock the full potential of their data.”

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[To share your insights with us, please write to sghosh@martechseries.com]

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