This presentation focuses on addressing key data issues such as inconsistencies, duplicates, and data level discrepancies. It will provide actionable insights and recommendations for resolving these issues, enabling you to prepare your data for successful AI implementation.
Key Takeaways
● Understanding how inconsistencies, duplicates, and data level discrepancies impact AI readiness
● Strategies for standardising data formats and resolving inconsistencies
● Methods for detecting and removing duplicate entries to ensure data integrity
● Tips for maintaining data quality and adaptability as AI technologies evolve
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Bio
Olivia Tech-Orias-Business Application Lead |First Mortgage Trust| New Zealand
With 24 years of experience in the tech industry, Olivia has developed expertise in business analysis, data management, software development, business intelligence, and integration. Currently working as a Business
Application Lead at First Mortgage Trust, Olivia combines deep technical knowledge and hands-on experience to deliver impactful business solutions. She is also a part-time mentor at Mission Ready, sharing knowledge and guiding the next generation of tech professionals.
With extensive experience spanning diverse technological domains, Olivia has a unique ability to bridge the gap between complex technical needs and practical business outcomes. She offers valuable insights into leading data- driven initiatives, emphasizing the critical importance of data integrity, management, and technological excellence in shaping the future of businesses.
ANZ-Stage 3 2024
Olivia Tech-Orias-Business Application Lead |First Mortgage Trust| New Zealand