The democratization of AI through the use of GenAI is set to revolutionize the way enterprises access and utilize information. With over 80% of enterprises predicted to adopt GenAI APIs and models by 2026, the rapid adoption of this technology will significantly democratize knowledge and skills within organizations. This presents a unique opportunity for workers worldwide to access vast sources of information and enhance their decision-making capabilities.
One of the key challenges that arise with the democratization of AI is the need for AI Trust, Risk, and Security Management (TRiSM). Without proper guardrails in place, AI models can generate negative effects that can quickly spiral out of control, overshadowing the positive benefits that AI brings. AI TRiSM provides the necessary tools and measures to ensure proactive data protection, AI-specific security, and risk controls for third-party models and applications. By implementing AI TRiSM controls, enterprises can eliminate up to 80% of faulty and illegitimate information, leading to more accurate decision-making processes.
AI-augmented development is another significant trend that is reshaping the software engineering landscape. By utilizing AI technologies like GenAI and machine learning, software engineers can enhance their productivity and address the increasing demand for software applications. AI-infused development tools enable engineers to spend less time on writing code and more time on strategic activities such as designing and composing business applications. This trend not only improves developer efficiency but also contributes to the overall growth and success of organizations.
Intelligent applications, which incorporate learned adaptation and respond autonomously, are in high demand across industries. With a talent shortage being a top concern for CEOs, intelligent applications can help augment and automate work, providing the necessary support to bridge the talent gap. By leveraging AI-based services such as machine learning, vector stores, and connected data, intelligent applications deliver dynamic experiences that adapt to the user’s needs. This technology has the potential to significantly impact industries in the coming years.
The augmented-connected workforce (ACWF) strategy aims to optimize the value derived from human workers by utilizing intelligent applications and workforce analytics. This approach provides everyday context and guidance to support the workforce’s experience, well-being, and skill development. At the same time, it drives positive business results and impact for key stakeholders. By implementing ACWF initiatives, organizations can reduce the time to competency for key roles by 50%, contributing to accelerated talent development.
Lastly, continuous threat exposure management (CTEM) is a pragmatic and systemic approach that allows organizations to continually evaluate the accessibility, exposure, and exploitability of their digital and physical assets. This approach helps organizations proactively identify and address potential threats and vulnerabilities, ensuring the security and integrity of their assets.
In conclusion, the democratization of AI through GenAI, coupled with the adoption of AI TRiSM, AI-augmented development, intelligent applications, the augmented-connected workforce, and continuous threat exposure management, presents a transformative opportunity for enterprises. These strategic technology trends have the potential to revolutionize industries, enhance decision-making processes, optimize workforce productivity, and ensure the security and integrity of digital assets. As organizations embrace these trends, they can unlock new possibilities and drive sustainable growth in the ever-evolving digital landscape.
