Remove Risk Management Remove Technology Remove Testing
article thumbnail

5 Tips to Stay Competitive as AI Technology Evolves

Smart Data Collective

The market for AI technology is growing remarkably. While marketing remains relevant and essential, AI technology provides endless opportunities that create a massive edge between you and your competitors. AI technology helps businesses respond to change and new business opportunities effectively. Leverage innovation.

article thumbnail

AI Technology is Invaluable for Cybersecurity

Smart Data Collective

AI technology is helping with cybersecurity in a myriad of ways. The proliferation of cybersecurity firms reflects the increasing sophistication of cyber threats in today’s technology-driven society. Subjects such as incident response, risk management, access control, and cryptography fall under this category.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Is your disaster recovery a house of cards? Why BIA, BCP, and DRP are your foundation

CIO Business Intelligence

In fact, successful recovery from cyberattacks and other disasters hinges on an approach that integrates business impact assessments (BIA), business continuity planning (BCP), and disaster recovery planning (DRP) including rigorous testing. See also: How resilient CIOs future-proof to mitigate risks.)

Testing 64
article thumbnail

Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Financial services firms have a rich tradition of being early adopters of many new technologies, and AI is no exception: Figure 1.

article thumbnail

Why you should care about debugging machine learning models

O'Reilly on Data

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. While our analysis of each method may appear technical, we believe that understanding the tools available, and how to use them, is critical for all risk management teams.

article thumbnail

CrowdStrike incident has CIOs rethinking their cloud strategies

CIO Business Intelligence

All patches should first be tested on a test server,” Jain said further emphasizing that despite CrowdStrike’s reputation, the incident revealed a failure of trust due to untested patches causing a cascading effect. “An Enhanced risk management practices The incident has highlighted the need for improved risk management practices.

Strategy 143
article thumbnail

PODCAST: Making AI Real – Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower

bridgei2i

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.