article thumbnail

Get Analytics with Reports Your Users Can Understand!

Smarten

Choose Augmented Analytics With Customizable Reporting for Your Users! Gartner defines Data and Analytics (D&A) as, ‘…the ways organizations manage data to support all its uses, and analyze data to improve decisions, business processes and outcomes, such as discovering new business risks, challenges and opportunities.’

article thumbnail

How to build a successful risk mitigation strategy

IBM Big Data Hub

.” This same sentiment can be true when it comes to a successful risk mitigation plan. The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events.

Risk 72
Insiders

Sign Up for our Newsletter

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

article thumbnail

Discover The Power Of Modern Performance Reports – See Examples & Best Practices 

datapine

Table of Contents 1) What Is A Performance Report? 2) The Importance of Performance Reports 3) Performance Report Examples 4) Performance Reporting Tips Performance reporting has been a traditional business practice for decades now. At the time, this was not an issue, as the static nature of reporting was the norm.

Reporting 207
article thumbnail

Gen AI is a game-changer in bond investment risk assessment

CIO Business Intelligence

Their steady income stream and relatively low risk compared to equities make them an especially important component of pension and retirement planning. Each type of issuer presents a different level of risk and tax treatment. It knows exactly where the compliance information is in a 300-page document,” Soundarapandian says. “It

Risk 52
article thumbnail

What is Model Risk and Why Does it Matter?

DataRobot Blog

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks.

Risk 111
article thumbnail

Preliminary Thoughts on the White House Executive Order on AI

O'Reilly on Data

The recent discovery (documented by an exposé in The Atlantic ) that OpenAI, Meta, and others used databases of pirated books, for example, highlights the need for transparency in training data. Methods by which the AI provider manages and mitigates risks identified via Red Teaming, including their effectiveness.

article thumbnail

How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 75