Surmount AI/ML Governance & Trust Challenges with Data Intelligence

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Presented by

Michael Moulsdale (Sr AI PM), Salima Mangalji (AI Product Marketing Manager), Nic Colley (Principal Solutions Engineer)

About this talk

In the age of AI, trusted data is fundamental to building strong organizational AI initiatives. And yet data availability, trust, and quality top the list of current AI/ML challenges. In IDC’s 2023 Future Enterprise Resiliency & Spending Survey, 29% of respondents reported issues with data quality and another 24% cite a lack of data trust. To boot, IBM reports that 4/5 executives at companies today see at least one trust-related issue as a roadblock to generative AI (GenAI) adoption. Watch our webinar to discover practical advice for navigating these AI/ML data trust, quality, and availability perils. Additional agenda items include: • Analysis of IDC’s report on current AI/ML challenges • Data intelligence: what is it, and how does it improve AI trust and governance? • How Alation for AI empowers you to conduct accurate AI model training, find trusted data sets, and effectively govern datasets.
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Alation is the leader in enterprise data intelligence solutions, including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation’s initial offering dominates the data catalog market. Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. More than 500 enterprises drive data culture, improve decision-making, and realize business outcomes with Alation, including AbbVie, American Family Insurance, Autozone, Cisco, Draft Kings, Exelon, Fifth Third Bank, Finnair, Munich Re, NASDAQ, Parexel, Pfizer, Salesforce, Virgin Australia, and Vistaprint.