article thumbnail

6 business risks of shortchanging AI ethics and governance

CIO Business Intelligence

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 140
article thumbnail

From Bolts to Bots: How AI Is Fortifying the Automotive Industry

Smart Data Collective

This AI could be utilized as a safety feature , like real-time risk assessment, for example, alerting the driver when a potential incident has been detected. The automotive market penetration of AI has increased by 100% since 2015. Providing the most benefit to customers while fortifying and mitigating current and future risks.

IoT 110
Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

1 Slowly but surely, institutional investors started to recognize that companies could potentially improve financial performance and risk management by focusing on ESG issues like greenhouse gas emissions. The last decade: an evolving landscape By 2015, the Sustainable Development Goals (SDGs) replaced the MDGs.

article thumbnail

How digital turned Nationale-Nederlanden into an omnichannel company

CIO Business Intelligence

Starting in 2015, the company began to digitalize all sales and after-sales processes, a purpose reinforced by a promotion of synergies between distribution channels that led Nationale-Nederlanden to become an omnichannel company, which made it easier for customers to choose where, how, and when to engage with it. “The

article thumbnail

Safeguard Your Network Investment With Assessment Services

CIO Business Intelligence

To prevent malicious attacks, security assessments like penetration testing can help diminish risks by uncovering meaningful insights that highlight the weaknesses attackers can use to compromise your organization. By regularly testing for vulnerabilities, companies are 2.5 Don’t put your company and reputation at risk.

Risk 52
article thumbnail

What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

After a marginal increase in 2015, another steep rise happened in 2016 through 2017 before the volume decreased in 2018 and rose in 2019, and dropped again in 2020. They can use AI and data-driven cybersecurity technology to address these risks. One of the best solutions for data protection is advanced automated penetration testing.

Testing 123
article thumbnail

What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Prescriptive analytics is a type of advanced analytics that involves the application of testing and other techniques to recommend specific solutions that will deliver desired outcomes. It is frequently used for risk analysis. In business, predictive analytics uses machine learning, business rules, and algorithms.