Remove Examples Remove Financial Services Remove Government
article thumbnail

Capital Markets, AI, and the need for governance

Collibra

With every financial services organization focused on making better and faster decisions, data professional and business leaders are eager to better understand how AI can facilitate their strategic goals. Financial services orgs, especially those in capital markets, frequently has been on the forefront of generative AI investment.

Marketing 105
article thumbnail

Embracing new ways of working in financial services

CGI

Embracing new ways of working in financial services. Although the approaches to dealing with the COVID-19 pandemic vary by country, as governments and businesses come to grips with it, one thing is imperative: we will get through this. . The question is how, when disruptions in day-to-day life and business abound.

Insiders

Sign Up for our Newsletter

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

article thumbnail

What can AI and generative AI do for governments?

IBM Big Data Hub

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

article thumbnail

Summary – “Industry in One: Financial Services”

ARMA International

The scope of a records and information management (RIM) program in financial services can seem overwhelming. Compared to other industries, the complexities of managing records and information in financial services are arguably some of the toughest to solve, primarily because of the intense regulatory scrutiny.

article thumbnail

Automated governance and trustworthy AI

IBM Big Data Hub

Governments and regulatory bodies around the world are working to establish safety standards. The proposed rules aim to govern automated valuation models to protect borrowers. As governments recognize and regulate the growing use of AI for crucial decisions, enterprises should prepare proactively. In the U.S.,

article thumbnail

Transforming data management and decision-making

OpenText Information Management

Consider a financial services provider handling a high volume of sensitive client information. An ecommerce business, for example, needing to quickly assess sales performance across multiple regions, traditionally would require a specialized data analyst to extract and interpret the data.

article thumbnail

Top 6 Best Practices for Data Governance

Collibra

Data governance is a very intricate field, so implementing and sustaining data governance comes with a suite of challenges. Luckily, thousands, if not millions, of organizations use data governance to improve their operations, so you can learn from others’ mistakes and successes. Operating model example.