• Don't Panic! It's Just Data

  • 著者: EM360Tech
  • ポッドキャスト

Don't Panic! It's Just Data

著者: EM360Tech
  • サマリー

  • Turn data overwhelm into data-driven success. Led by an ensemble cast of expert interviewers offering in-depth analysis and practical advice to make the most of your organization's data.
    Copyright 2025 EM360Tech
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あらすじ・解説

Turn data overwhelm into data-driven success. Led by an ensemble cast of expert interviewers offering in-depth analysis and practical advice to make the most of your organization's data.
Copyright 2025 EM360Tech
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  • Leading Up to The Peak: Can Data Integration Solve Key Enterprise Challenges?
    2025/04/28

    In this episode of the Don't Panic, It's Just Data podcast, hosted by EM360Tech's podcast producer, Shubhangi Dua speaks to Donnie Owsley from Snohomish County, and Jeff Burton and Tom Lavery from the University of British Columbia. All of the speakers will be presenting at the upcoming Peak of Data and AI event, organised by Safe Software, the creators of FME.

    Scheduled to take place in Seattle from May 5th to 8th, 2025, The Peak is an exciting gathering for data and AI innovators. This conversation offers a preview of some of the practical applications and insights that will be shared at the event.

    The podcast also talks about the development of creative solutions for enhancing accessibility in urban environments. The UBC speakers particularly refer to their creation of an accessible university campus navigation system, a project that showcases the power of integrating FME with platforms like ArcGIS. This discussion spotlights the challenges and ingenuity involved in building inclusive wayfinding solutions that cater to the diverse needs of a community.

    The conversation sheds light on some tangible ways in which FME is being used across different sectors to tackle specific challenges and boost creative innovations. It provides valuable context for the types of practical knowledge and problem-solving approaches that will be central to The Peak of Data and AI event.

    For further information on what we’ve talked about and to register for The Peak of Data and AI event in Seattle, please head over to peakofdataintegration.com.

    Key Highlights

    • Discover how to use tools like FME for preemptive IT issue resolution.
    • Learn the approach to creating inclusive navigation systems with FME and ArcGIS.
    • Get practical insights into current industry applications.
    • Preview actionable data and AI solutions.
    • Explore the versatile application of FME in your organisation.

    About Safe Software

    Founded in 1993, Safe is headquartered in Surrey, BC with over 200 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow.

    Over 20,000 organisations around the world use FME in industries like AEC, government, utilities, and transportation to maximise the value of their data.

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    10 分
  • Is Your Finance Team Stuck in the Past? Real-Time Answers
    2025/04/23

    In this episode of "Don't Panic, It's Just Data," host Christina Stathopoulos explores the world of real-time analytics and its impact on financial decision-making. She is joined by Thomas Gore, insightsoftware's Director of Product Management for extended planning and analysis (XP&A), and Cody Riemenschneider, Director of Solutions Engineering, and they discuss the challenges and opportunities of integrating real-time data into finance.

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    27 分
  • Building Trust in Data: Transparency, Collaboration, and Governance for Successful AI
    2025/04/14

    "So you want trusted data, but you want it now? Building this trust really starts with transparency and collaboration. It's not just technology. It's about creating a single governed view of data that is consistent no matter who accesses it, " says Errol Rodericks, Director of Product Marketing at Denodo.

    In this episode of the 'Don't Panic, It's Just Data' podcast, Shawn Rogers, CEO at BARC US, speaks with Errol Rodericks from Denodo. They explore the crucial link between trusted data and successful AI initiatives. They discuss key factors such as data orchestration, governance, and cost management within complex cloud environments.

    We've all heard the horror stories – AI projects that fail spectacularly, delivering biased or inaccurate results. But what's the root cause of these failures? More often than not, it's a lack of focus on the data itself. Rodericks emphasises that "AI is only as good as the data it's trained on."

    This episode explores how organisations can avoid the "garbage in, garbage out" scenario by prioritising data quality, lineage, and responsible AI practices.

    Learn how to avoid AI failures and discover strategies for building an AI-ready data foundation that ensures trusted, reliable outcomes. Key topics include overcoming data bias, ETL processes, and improving data sharing practices.

    Takeaways
    • Bad data leads to bad AI outputs.
    • Trust in data is essential for effective AI.
    • Organisations must prioritise data quality and orchestration.
    • Transparency and collaboration are key to building trust in data.
    • Compliance is a responsibility for the entire organisation, not just IT.
    • Agility in accessing data is crucial for AI success.

    Chapters

    00:00 The Importance of Data Quality in AI

    02:57 Building Trust in Data Ecosystems

    06:11 Navigating Complex Data Landscapes

    09:11 Top-Down Pressure for AI Strategy

    11:49 Responsible AI and Data Governance

    15:08 Challenges in Personalisation and Compliance

    17:47 The Role of Speed in Data Utilisation

    20:47 Advice for CFOs on AI Investments

    About Denodo

    Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data into trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service.

    Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone.

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    23 分

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