Post by account_disabled on Jan 28, 2024 10:26:11 GMT
In the business and public world, digital transformation continues to advance at an accelerated pace. Businesses and public bodies face unique challenges and opportunities as they seek to make the most of the digital age. Kyndryl, a leading digital transformation services company, has identified six key trends that will prevail in the coming year: 1. Cost control in the cloud: As more organizations adopt hybrid and multi-cloud environments, cost management becomes increasingly complicated. The FinOps approach, which involves collaboration between IT, finance and business teams, will be critical to optimizing cloud investments and making informed, data-driven decisions. 2. Artificial Intelligence (AI) in manufacturing: AI applied uniquely to each factory will improve operations management, reduce expenses and enable early detection of potential problems.
Edge computing technology, which collects Buy Phone Number List highly localized data, will be crucial to this advancement. 3. Challenges and benefits of generative AI: Cybersecurity will need to address the challenges posed by generative AI. At the same time, this technology will free security professionals from repetitive tasks and enable a boost in productivity. 4. Data management and customer experience: In the age of AI, data quality will be crucial for successful results. Organizations will seek assistance from specialized partners to prepare and IT vendors will incorporate generative AI into their solutions to improve customer experience. 5. Digitalization of the workplace: Companies will increasingly focus on improving employee experiences, which in turn will benefit their customers.
Technology will be key to simplifying and streamlining human resources processes and reducing complexity at work. 6. Modernization of mainframe environments: Mainframe management and modernization will become priorities for companies. The resilience of these platforms and the skills shortage in this field will make collaborations essential. Integrating Artificial Intelligence into these applications will require specialized knowledge in programming languages such as COBOL and Java. In summary, the next year will be marked by collaboration between different teams and the integration of key technologies such as FinOps, generative AI and edge computing. Data quality and improved employee and customer experiences will be critical to achieving success in digital transformation.
Edge computing technology, which collects Buy Phone Number List highly localized data, will be crucial to this advancement. 3. Challenges and benefits of generative AI: Cybersecurity will need to address the challenges posed by generative AI. At the same time, this technology will free security professionals from repetitive tasks and enable a boost in productivity. 4. Data management and customer experience: In the age of AI, data quality will be crucial for successful results. Organizations will seek assistance from specialized partners to prepare and IT vendors will incorporate generative AI into their solutions to improve customer experience. 5. Digitalization of the workplace: Companies will increasingly focus on improving employee experiences, which in turn will benefit their customers.
Technology will be key to simplifying and streamlining human resources processes and reducing complexity at work. 6. Modernization of mainframe environments: Mainframe management and modernization will become priorities for companies. The resilience of these platforms and the skills shortage in this field will make collaborations essential. Integrating Artificial Intelligence into these applications will require specialized knowledge in programming languages such as COBOL and Java. In summary, the next year will be marked by collaboration between different teams and the integration of key technologies such as FinOps, generative AI and edge computing. Data quality and improved employee and customer experiences will be critical to achieving success in digital transformation.