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Big Announcement Coming Soon: An energy boost for your #data transformation & compliance. Can you guess what it is? Submit your guesses in the comments section. A special prize for the winning entry! ??

Anecdote from our recent Praxi Data Roast:?? When Data Migration Meets Red Pen Audits During a mainframe-to-Windows migration, data quality was a huge challenge. One underwriter, determined to tackle data errors, printed thousands of pages of data and marked all the errors with a red pen. The irony? This approach to fixing errors during a digital transformation was anything but digital. Just a reminder that old habits die hard, even when new technology is involved. #DataMigration #DigitalTransformation #DataQuality #LegacySystems #AIinInsurance

Data Governance: The Critical Foundation for AI and Automation Success in Insurance. At its core, data governance is about creating a comprehensive framework that ensures data is accurate, consistent, secure, and usable across an organisation. In the context of #AI and automation, this goes far beyond traditional data management. https://lnkd.in/espM4yUJ

?? Legacy Systems Aren't Just Slowing You Down At the heart of the competitive disadvantage lies what industry analysts have termed "data imprisonment" - valuable information trapped in outdated systems that cannot be effectively accessed, analysed, or deployed for strategic advantage. #data #insurance https://lnkd.in/eaTgRKrE

?? AI Adoption in the Middle East: Ambition vs. Constraints The Middle East is pushing the boundaries of AI adoption, with bold ambitions and significant financial resources dedicated to large-scale projects. However, this drive for innovation faces substantial challenges, including: ? Regulatory Constraints: New privacy and governance regulations are being implemented, creating barriers to seamless AI integration. ? Cloud Maturity Gaps: Limited availability of hyperscale cloud providers (AWS, Azure) adds complexity to AI deployment. The result? A mismatch between ambition and capability. Despite the challenges, the region continues to advance, but navigating these obstacles will require innovative solutions and strategic planning. Via Edosa Odaro #AIAdoption #MiddleEastAI #DataGovernance #CloudComputing #DigitalTransformation

Actuaries Trapped in Data Cleaning Across the #insurance industry, a troubling pattern has emerged: actuaries find themselves spending 60-70% of their time not on high-value analytical work but instead on the mundane task of cleaning, organizing, and reformatting data: https://lnkd.in/dcNjkZ5g

??If You Can't Trust Your Claims Data, You're Bleeding Money The Hidden Costs of Data Inconsistency In the complex ecosystem of insurance claims management, the quality of data serves as the foundation upon which all decisions are built. Yet many insurance providers operate with data systems plagued by inconsistencies, silos, and outdated information - creating a perfect storm for financial leakage that silently drains resources. Full article here: https://lnkd.in/ep7DPXij #insurance #claimsManagement

?? When Data Privacy Meets “Duckification” Here’s a real-life data governance fail: To bypass internal controls preventing the use of production data in testing, a team of programmers came up with a creative solution - “Duckification.” They replaced every first and last name with “Donald Duck” to maintain dataset size but completely lost the fidelity of the data. The kicker? This approach was used in a business-critical legacy system replacement. The lesson? Masking data isn’t the same as protecting it. Effective data governance requires more than just clever hacks - it needs robust, compliant processes. by Alasdair Anderson #DataGovernance #DataPrivacy #DataMasking #AIinBusiness #FunnyButTrue

??? Your Data Strategy is Useless (Without a Business Strategy) In the rush to become "data-driven," organizations worldwide have invested billions in data infrastructure, talent, and technologies. Chief Data Officers (CDOs) have been appointed with ambitious mandates to transform businesses through the power of data. Yet despite these investments, many organizations struggle to derive meaningful value from their data initiatives. Read the entire post here: https://lnkd.in/ecsta8Es #Aidata #CDO #businessstrategy

???? Praxi Data Roast: When Algorithms?Go Wild AI in insurance is meant to enhance risk assessment - but what happens when algorithms misinterpret data in the wildest ways? ? One AI model flagged every red car as high risk, thanks to a dataset influenced by someone who once got dumped by a Toyota owner. ? Another predictive model bizarrely concluded that people with vowels in their names were more likely to file water damage claims. These real-life examples show why AI without proper data governance can lead to absurd (and costly) mistakes. The lesson? Bias in, bias out - data quality and oversight matter. #AIinInsurance #DataBias #RiskAssessment #MachineLearningFails #DataQuality