How AI And Big Data Will Redefine The Landscape Of GRC Technology

Business intelligence tools and big data analysis algorithms can make use of limited unstructured data to improve risk understanding. With a central data repository, companies can identify potential problems, new options and relevant changes to ensure they are not vulnerable and unable to take advantage of their benefits. Today, industries are driven by big data, and skills have universal applications.

A single point of reference ensures that employees are aware of the company’s overall GRC attitude and can integrate it into their everyday roles. GRC covers so much territory that the amount of data collected by companies is eye-catching. Given the complexity of today’s business environment, the technology can only capture the necessary data points and must retain oversight of so many moving parts. Having a suitable platform is a crucial basis for preparing for the next major technological change in the GRC landscape: the advent of artificial intelligence. Data will fuel the need to drive AI and machine learning algorithms, so a systematic approach to risk management from data will be critical for organizations that want to advance their GRC approach. Future-proofing in this way non-financial risk management will pave the way for emerging technologies and their long-term benefits. It is fair to say that we are only at the beginning of this journey and that with the development of artificial intelligence technologies, the cycle of risk management becomes a matter of competitive advantage.

Although artificial intelligence is not inherent in non-financial risk management, it can be used in this area where the benefits outweigh the costs, especially when it comes to supporting large amounts of data analysis and customer-oriented products. Like regtech, artificial intelligence (AI) is gaining ground as a technology that will change the way compliance issues are handled. AI is already used in the areas of Financial Crime Risk Management (FRCM), Financial Risk Management (FR), Governance, Risk and Compliance (GRC).

The GRC landscape is changing as new technologies expand business capacities.

Image: Enterprise GRC Solution with Integrated Risk Management

Artificial intelligence is changing the business landscape by changing a variety of industries and redefining the scope and functionality of enterprise management solutions. For example, chatbots and natural language processing can be used to capture thematic data as a first line of defense in a simple, seamless, and engaging way, while machine learning tools enable leaders to identify risks and make recommendations based on patterns given through predictive analysis. While various CXOs have highlighted that the new opportunities for GRC are endless, emerging technologies are highlighting how they can be used to create a more ubiquitous environment. Read on to download the full Achieving Integrated GRC in a report on the connected digital age. CXO Research has commissioned Celent to conduct independent market research in GRC on integrated governance, risk and compliance, building on its commitment to connecting and strengthening the global financial and business community through actionable insights and proprietary value-added solutions.

According to independent market research on integrated governance, risk and compliance (GRC), the need and expectation that real benefits of digital technologies such as big data, AI, machine learning and distributed ledger technology (blockchain) bring measurable improvements in risk management efficiency are among the key factors influencing risk and compliance managers. On a more fundamental level, the research suggests that risk operations have difficulty developing agile skills and continue to be hampered by inflexible technologies. Non-financial risk management is no different, and the basic framework for reporting and governance must serve its purpose without adding complexity. Many CXOs agree that the most significant impact of non-financial risk is the long-term erosion of the shareholder value, not direct losses. This perception is confirmed by the results of the State of Risk Management 2020 Report (I) of Virtuespark Risk (N). By ensuring that risks are taken into account at an early stage, harmful effects can be mitigated.

Companies rely on a single process as a point of reference to ensure that they are prepared for and expect the unexpected.

Companies are under greater pressure to perform against the backdrop of developing risks, and advanced GRC technologies and mindsets offer a more holistic view of the entire company. TMR Global is driving a long-term culture change by supporting companies with integrated risk management applications, including the ability to perform automated key checks and test data-based events, repeal complex detective checks, perform preventive real-time controls, and ensure continuous API-based collateral. Organizations with multiple GRC platforms seek to streamline their operations, simplify risk management and provide a single platform that can be integrated with other technologies such as analytics and sometimes new technologies. Focusing on a single golden source of GRC solutions will improve an organization’s ability to deliver thematic insights. Comprehensive pipeline analysis and big data analysis become indispensable tools for risk management, while AI will help automate a number of tasks to ensure high efficiency in processes and decision making.

How AI And Big Data Will Redefine The Landscape Of GRC Technology

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