article thumbnail

Unlocking AI/ML Success with Trusted, Unified Data

Reltio

In this blog post, we highlight how poor data quality hurts enterprise AI initiatives and how to build a foundation on trusted information. Whether for generative AI or predictive analytics, investing in data quality, richness, and governance is the key to “delicious” AI/ML outcomes. Kind of a letdown, right?

article thumbnail

What to Consider When Choosing a Data Modeling Tool

erwin

In the white paper, Top 10 Considerations for Choosing a Data Modeling Solution, the analysts at IT Central Station looked at what actual customers were saying about what led them to select erwin® Data Modeler by Quest® as the tool they relied on as the foundation of their application modernization lifecycle.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Mesh 101: A straightforward overview of the hottest topic in enterprise data

Collibra

Data mesh is a decentralized sociotechnical approach in managing and accessing analytical data at scale.’. In future blogs, we’ll dive deeper into each of these principles. In the central data lake model, they must wait for a centralized data team to fulfill analytics requests for them. – Zhamak Dehghani.

article thumbnail

Why You Need End-to-End Data Lineage

erwin

In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time. Furthermore, faulty decision-making based on inconsistent analytics and inaccurate reporting can cost millions. Data Lineage Tells an Important Origin Story.

article thumbnail

Digitizing the credit management journey

CGI

During customer onboarding, digital experience methodologies and analytic insights can help speed the loan application and approval process. In loan repayment, predictive analytics can encourage automated repayment to reduce late payment backlogs and help avoid defaults. . Blog moderation guidelines and term of use.

article thumbnail

Regulatory Update: NAIC Fall 2018 National Meeting

Data Matters

The white paper identifies best practices currently used in a number of states and provides guidance for regulators in implementing those best practices. The Template is in furtherance of the NAIC’s efforts to develop an analytical tool for regulators to evaluate the financial condition of an insurance group through a U.S.

article thumbnail

Regulatory Update: NAIC Summer 2020 National Meeting

Data Matters

Interested party comments continued to emphasize concerns regarding the confidentiality of the GCC (including whether lead state regulators will have the ability to share the GCC with other domestic regulators) and the need to clarify within the instructions that the GCC is intended to be used as an analytic tool, rather than a standard.