Post by account_disabled on Feb 17, 2024 6:21:35 GMT -5
Dynatrace, a leader in unified observability and security, has released its predictions for the year 2024, offering a unique perspective on the emerging trends that will shape the world of technology and observability. From revolutionary advances in artificial intelligence to cloud transformations, Dynatrace projections provide deep and insightful insight, guiding businesses and professionals into the digital future with confidence.
Generative AI will enter the later phases of its expansion cycle and organizations will realize that this transformative technology cannot provide significant value on its own. Consequently, they will adopt a composite AI approach that combines generative AI with other types of artificial intelligence and Cell Phone Number List additional data sources. This approach will enable more advanced reasoning and bring precision, context and meaning to the results produced by generative AI. For example, DevOps teams will combine generative AI with causal AI and predictive AI to power digital innovation by predicting and preventing problems before they occur and generating new workflows to automate the lifecycle of software delivery.
These challenges will lead organizations to develop digital immune systems, combining software design, development, operations and analysis practices and technologies to protect them from within, guaranteeing the resilience of the default code. To do this, organizations will leverage predictive AI to automatically forecast issues in code or applications before they arise and trigger an instant, automated response to safeguard the user experience. For example, development teams can design applications with self-healing capabilities.
These capabilities enable automatic rollback to the latest stable version of code if a new version introduces bugs, or automated provisioning of additional cloud resources to support an increase in demand for computing capacity.
Over the next year, organizations will increasingly appoint senior executives to their leadership teams to ensure readiness for the security, compliance and governance implications of AI. As employees become more accustomed to using AI in their personal lives, through tools like ChatGPT, they will also become more accustomed to increasing their productivity at work. Organizations have already realized that if they do not officially empower their employees to use AI tools, they will do so without consent. Therefore, organizations will appoint a chief artificial intelligence officer to oversee their use of these technologies. The Chief AI Officer (CAIO) will focus on developing policies, educating and empowering the workforce to use AI safely and protect the organization against accidental breach, intellectual property leakage or security threats . These practices will pave the way for widespread adoption of AI in organizations. As this trend progresses, AI will become a commodity, just like the mobile phone.
Generative AI will enter the later phases of its expansion cycle and organizations will realize that this transformative technology cannot provide significant value on its own. Consequently, they will adopt a composite AI approach that combines generative AI with other types of artificial intelligence and Cell Phone Number List additional data sources. This approach will enable more advanced reasoning and bring precision, context and meaning to the results produced by generative AI. For example, DevOps teams will combine generative AI with causal AI and predictive AI to power digital innovation by predicting and preventing problems before they occur and generating new workflows to automate the lifecycle of software delivery.
These challenges will lead organizations to develop digital immune systems, combining software design, development, operations and analysis practices and technologies to protect them from within, guaranteeing the resilience of the default code. To do this, organizations will leverage predictive AI to automatically forecast issues in code or applications before they arise and trigger an instant, automated response to safeguard the user experience. For example, development teams can design applications with self-healing capabilities.
These capabilities enable automatic rollback to the latest stable version of code if a new version introduces bugs, or automated provisioning of additional cloud resources to support an increase in demand for computing capacity.
Over the next year, organizations will increasingly appoint senior executives to their leadership teams to ensure readiness for the security, compliance and governance implications of AI. As employees become more accustomed to using AI in their personal lives, through tools like ChatGPT, they will also become more accustomed to increasing their productivity at work. Organizations have already realized that if they do not officially empower their employees to use AI tools, they will do so without consent. Therefore, organizations will appoint a chief artificial intelligence officer to oversee their use of these technologies. The Chief AI Officer (CAIO) will focus on developing policies, educating and empowering the workforce to use AI safely and protect the organization against accidental breach, intellectual property leakage or security threats . These practices will pave the way for widespread adoption of AI in organizations. As this trend progresses, AI will become a commodity, just like the mobile phone.