Topic: risk management

Artificial intelligence (AI) is a relatively new field that has rapidly evolved into a major influence on the strategic direction of organizations. Its significance extends far beyond automation, enhancing complex decision-making processes. AI is both a risk and a tool for managing risk—a paradox that organizations must confront as they navigate the landscape of 2024 and beyond. AI as a Catalyst for Transformation While AI is often associated with task automation, it also plays a critical ...

In 2024, the cybersecurity realm has opened new doors to new vulnerabilities and attack techniques. As attacks become more sophisticated and dynamic, traditional defense mechanisms fail to provide protection. Therefore, to effectively combat these challenges, CISOs and IT leaders need to analyze the current situation and mitigate threats in real-time. As we look ahead to 2025, likely, the concerns faced by CISOs and IT leaders in 2024 will potentially worsen. However, for a handy deep dive...

As organizations continue doubling their reliance on data, the question of having credible data becomes more and more important. However, with the increase in volume and variety of the data, high quality and keeping track of where the data is coming from and how it is being transformed become essential for building credibility with the data. This blog is about data quality and data lineage and how both concepts contribute to the creation of a rock-solid foundation of trust and reliability in any...

Becky, please provide a brief overview of your role and expertise within Orium, particularly in assisting commerce and retail brands with their digital transformation journey? I’m the VP Digital Programs at Orium, which means I’m the executive sponsor for all projects and programs that fall within this line of business. The duties of an executive sponsor on a project or program at Orium involve providing strategic guidance, oversight, and support throughout the project lifecycle, with specifi...

There has always been a growing concern and realization of the need for environmental, social, and governance (ESG) factors as a critical component for successful business development across all sectors. From customers to stakeholders, regulators have been insisting companies consider the environmental impact and contribute their share of corporate social responsibility (CSR) programs to developing a greener society. Consequently, with the rising competition, ESG factors have arisen as crucia...

In a highly regulated business environment, it is a challenging task for IT organizations to manage data-related risks and compliance issues. Despite investing in the data value chain, C-suites often do not recognize the value of a robust data governance framework, eventually leading to a lack of data governance in organizations. Therefore, a well-defined data governance framework is needed to help in risk management and ensure that the organization can fulfill the demands of compliance with ...

Chris, could you start by introducing yourself and your role at Zennify and sharing a little about your background in the finance and technology sectors? I joined Zennify in April 2023 as Chief Executive Officer. I’m a customer success and IT services veteran with over 15 years of experience in the Salesforce ecosystem and 30 years in technology. Most recently, I was the Senior Vice President of Customer Success at Salesforce. I led the North American Success team responsible for ensuring ...

In today’s interconnected business environment, companies regularly rely on third parties for critical business functions like supply chain, IT services, and more. While these relationships can provide efficiency and expertise, they also introduce new cybersecurity risks that must be managed. More than 53% of businesses worldwide have suffered at least one cyber attack in the past 12 months and one in five firms attacked said it was enough to threaten the viability of the business. Recent high-p...

In this technologically dominated era, the integration of artificial intelligence (AI) has become a trend in numerous industries across the globe. With this development of technology, AI brings potential risks like malicious attacks, data leakage, and tampering. Thus, companies are going beyond traditional security measures and developing technology to secure AI applications and services and ensure they are ethical and secure. This revolutionary discipline and framework is known as AI Trust, ...