As Artificial Intelligence (AI) takes on a crucial role in Financial Services, concerns around the lack of transparency and accountability in AI systems have mounted. Deep learning models are often referred to as "black boxes" due to their complex…
https://i0.wp.com/datamanagementgroup.com/wp-content/uploads/2024/01/DALL·E-2024-01-31-13.50.20-The-image-visualizes-the-concept-of-Tackling-the-AI-Black-Box_-Ensuring-Transparency-and-Accountability-in-Financial-Services.-The-scene-depicts-a-f.png?fit=1792%2C1024&ssl=110241792John Adlerhttps://datamanagementgroup.com/wp-content/uploads/2016/01/header.pngJohn Adler2024-03-06 16:27:002024-03-06 14:12:04Tackling the AI Black Box: Ensuring Transparency and Accountability in Financial Services
The rapid adoption of artificial intelligence (AI) in Financial Services has underscored the immense value AI can bring to data-driven decision-making. However, the reliability of AI is only as good as the quality of the data it is trained on.…
https://i0.wp.com/datamanagementgroup.com/wp-content/uploads/2024/01/DALL·E-2024-01-31-14.32.30-A-sophisticated-and-engaging-hero-image-for-a-blog-post-visually-representing-the-concept-of-AI-Driven-Data-Quality-in-the-Financial-Services-sector.png?fit=1024%2C1024&ssl=110241024John Adlerhttps://datamanagementgroup.com/wp-content/uploads/2016/01/header.pngJohn Adler2024-02-14 07:28:002024-02-13 05:24:04AI-Driven Data Quality: The Path to Accurate and Reliable Business Decisions in Financial Services
In the Financial Services industry, regulatory compliance is an imperative. DMG has been helping a number of leading organizations get their arms around how to utilize Artificial Intelligence (AI) while maintaining and navigating the regulatory…
https://i0.wp.com/datamanagementgroup.com/wp-content/uploads/2023/12/How-Financial-Services-Companies-Can-Use-AI-While-Maintaining-Regulatory-Compliance.png?fit=1792%2C1024&ssl=110241792John Adlerhttps://datamanagementgroup.com/wp-content/uploads/2016/01/header.pngJohn Adler2024-01-15 12:56:002024-01-16 10:23:27How Financial Services Companies Can Use AI While Maintaining Regulatory Compliance
The burgeoning role of Artificial Intelligence (AI) in Financial Services is not just a technological revolution; it provides the opportunity to redefine fairness in a sector that has historically seen biases perpetuated in practices like redlining,…
https://i0.wp.com/datamanagementgroup.com/wp-content/uploads/2023/12/DALL·E-2023-12-14-00.09.39-An-image-that-conveys-the-theme-of-utilizing-AI-to-promote-fairness-and-reduce-bias-within-financial-services-but-with-a-simpler-design.-The-image-fe.png?fit=1024%2C1024&ssl=110241024John Adlerhttps://datamanagementgroup.com/wp-content/uploads/2016/01/header.pngJohn Adler2023-12-13 17:31:322023-12-14 19:43:17Using AI to Uphold Fairness and Combat Bias in Financial Services
In an era where Artificial Intelligence (AI) reshapes financial services, dramatically improving operations and revolutionizing customer experiences, the imperative of data privacy and security has emerged as a number one priority for business…
https://i0.wp.com/datamanagementgroup.com/wp-content/uploads/2023/11/DALL·E-2023-11-21-15.24.26-A-conceptual-digital-illustration-for-a-blog-post-about-AI-in-financial-services-focusing-on-data-privacy-and-security.-The-image-should-feature-a-la.png?fit=1792%2C1024&ssl=110241792John Adlerhttps://datamanagementgroup.com/wp-content/uploads/2016/01/header.pngJohn Adler2023-11-21 19:10:532023-11-21 20:26:35AI in Financial Services Companies: The Data Privacy and Security Imperative
The Benefits of Being Frugal With Data
In today's digital age, enterprises are generating and processing more data than ever before. One estimate stated that 1.7 MB of data was created every second for every person on earth. With the amount…
https://i0.wp.com/datamanagementgroup.com/wp-content/uploads/2023/06/Depositphotos_63897797_XL-scaled.jpg?fit=2560%2C1707&ssl=117072560John Adlerhttps://datamanagementgroup.com/wp-content/uploads/2016/01/header.pngJohn Adler2023-06-28 19:49:312023-07-13 17:15:39Emerging Data Risks: More Data = More Risks
Data Governance Best Practices
Formalizing and improving your Data Governance framework is one of the soundest ways to ensure that your company does more than just pay lip service to being data-driven. In this post, I’ll cover two Data…
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Data Governance Best Practices
Unlocking the power of accurate and reliable data is no longer a daunting task. Companies that are able to do so will be well-positioned for the future, as they use data to enhance customer experience, increase…
https://i0.wp.com/datamanagementgroup.com/wp-content/uploads/2023/05/depositphotos_102064344-stock-photo-business-team-looking-at-the.jpg?fit=1023%2C682&ssl=16821023John Adlerhttps://datamanagementgroup.com/wp-content/uploads/2016/01/header.pngJohn Adler2023-05-15 13:58:492023-06-07 19:51:29Automated Data Quality Checks and Standardized Data Formats
Since the days of Moneyball, many leaders have pushed their organizations to become increasingly data-driven. What few of these leaders fully grasp, however, is the additional workload this kind of fundamental shift places on existing staff.…
https://i0.wp.com/datamanagementgroup.com/wp-content/uploads/2023/04/Data-Governance_1.jpg?fit=2048%2C1365&ssl=113652048John Adlerhttps://datamanagementgroup.com/wp-content/uploads/2016/01/header.pngJohn Adler2023-04-10 15:22:432023-06-07 19:53:12A Minimally Invasive Approach to Formalizing or Improving Data Governance
Data Management Group (DMG) works regularly with clients who are interested in establishing a Data Governance program, but may not know exactly what that entails. Data Governance is a powerful approach to aligning interests in, and furthering…
https://i0.wp.com/datamanagementgroup.com/wp-content/uploads/2023/04/5-Keys-to-Establishing-a-Successful-Data-Governance-Program.jpg?fit=2000%2C1335&ssl=113352000John Adlerhttps://datamanagementgroup.com/wp-content/uploads/2016/01/header.pngJohn Adler2023-03-13 15:39:592023-06-07 16:12:525 Keys to Establishing a Successful Data Governance Program
Tackling the AI Black Box: Ensuring Transparency and Accountability in Financial Services
AI-Driven Data Quality: The Path to Accurate and Reliable Business Decisions in Financial Services
How Financial Services Companies Can Use AI While Maintaining Regulatory Compliance
Using AI to Uphold Fairness and Combat Bias in Financial Services
AI in Financial Services Companies: The Data Privacy and Security Imperative
Emerging Data Risks: More Data = More Risks
Data Quality Metrics and A Data Quality Culture
Automated Data Quality Checks and Standardized Data Formats
A Minimally Invasive Approach to Formalizing or Improving Data Governance
5 Keys to Establishing a Successful Data Governance Program