CFOtech Australia - Technology news for CFOs & financial decision-makers

Data interpretation stories

Stressed uk office worker cluttered desk charts digital devices data anxiety

Study reveals data anxiety remains high despite rising skills

Thu, 5th Jun 2025
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Despite rising data skills, 78% of UK professionals still face data anxiety, with 27% avoiding data tasks, reveals a global study of over 2,400 workers.
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New Zealand agency launches data literacy programme

Tue, 18th Mar 2025
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Data Insight has launched The Data Academy in New Zealand, a CPD programme aimed at improving data literacy for business leaders and their teams.
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Databricks launches Apps for streamlined AI development

Thu, 10th Oct 2024
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Databricks has launched the Public Preview of Databricks Apps, enabling developers to create and deploy data and AI applications on AWS and Azure.
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Study finds employee use of GenAI apps poses privacy risks

Tue, 6th Aug 2024
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Employees' widespread use of GenAI apps poses privacy risks as 30.8% of these tools train on customer data, a new study by Harmonic Security reveals.
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Ashdown Group releases 2024 IT salary guide amid economic shifts

Fri, 24th May 2024
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The Ashdown Group's 2024 IT Salary Guide reveals a 27% drop in job posts amid economic slowdown, but optimism rises with potential Bank of England rate cuts.
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Diligent launches ERM dashboard for improved risk management

Tue, 7th May 2024
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SaaS enterprise Diligent unveils Board Reporting for Enterprise Risk Management, a new ERM dashboard aimed to ease data interpretation.
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Microsoft AI in healthcare: From data interpretation to tailored training

Tue, 27th Feb 2024
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AI advancements, with companies like Volpara and Techion leading the charge, are revolutionising the healthcare industry, promising unprecedented capabilities and potentially triggering a transformation as significant as the discovery of penicillin.
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How retailers and suppliers can achieve seamless data collaboration

Tue, 26th Sep 2023
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When both parties actively share and interpret data, they unlock efficiencies that streamline operations, reduce costs, and enhance customer satisfaction.
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Oracle enhances Analytics Cloud with AI-powered capabilities

Thu, 21st Sep 2023
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Oracle unveils AI features for its Analytics Cloud, enabling self-service analytics and eliminating the need for data scientists or IT professionals.
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Input Validation and the problems with Sanitisation

Tue, 30th May 2023
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It is crucial for developers to understand the nuances of input validation and discuss why sanitisation can pose risks to your systems and applications.
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The future of data science lies in automation

Tue, 21st Mar 2023
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Data science is a wide-ranging field that has found successful applications in both scientific and business domains.
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X0PA AI appoints Marcus Thorpe as Board of Advisors

Sat, 6th Aug 2022
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Marcus Thorpe, an experienced expert in Talent Acquisition, joins the Board of Advisors of X0PA AI, a company focused on bias-free and equitable hiring.
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Curtin University appoints Professor Andrew Turpin as inaugural Lions Curtin ophthalmic big data chair

Fri, 8th Jul 2022
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Professor Andrew Turpin has been appointed as the inaugural Lions Curtin ophthalmic big data chair to enhance research in eye health using data science.
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Reaping the rewards of data analytics: What are the adoption challenges holding us back?

Tue, 6th Apr 2021
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Efforts in using data to produce real business value are mixed, says a report from Sisense and Harvard Business Review.
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Lack in data skills creating greater challenges at work - report

Tue, 7th Jul 2020
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A new report reveals that 92% of employees believe they'd perform better with increased data literacy, while 89% face challenges due to a lack of data skills.
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Swedish company teams up with CERN to advance autonomous car tech

Tue, 3rd Sep 2019
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Zenuity partners with CERN to leverage machine learning for autonomous cars, aiming to enhance safety through rapid data interpretation and decision-making.
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Does ERP provide good BI?

Sat, 1st May 2010
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As ERP vendors incorporate advanced Business Intelligence tools, experts question if these systems alone can meet evolving data analysis needs for businesses.