Unisys Forecasts Key Trends Revolutionizing Enterprise Technology by 2025
Unisys Corporation has recently published its insights into the future of enterprise technology with the report titled
Top IT Insights for 2025. This comprehensive analysis identifies eight critical trends that promise to revolutionize how enterprises adapt to a rapidly evolving technological landscape. The insights stem from extensive discussions with industry experts and organizational leaders, encompassing advances from AI-driven interfaces to post-quantum security measures.
a. The next generation of AI will prioritize interaction beyond traditional interfaces. Expect a focus on voice-driven solutions that integrate conversational AI into everyday applications. Organizations will further explore voice and gesture interfaces to streamline workflow automation, resulting in enhanced user experiences productive efficiency.
Smaller, more specialized AI models will begin to dominate, especially when paired with edge computing. This trend signifies a shift away from larger, generalized models that may no longer offer optimal performance in business applications. By processing data near its source, latency is significantly reduced, boosting security and cost-effectiveness.
As cloud expenses rise, there is a notable move towards hybrid solutions. Organizations will re-evaluate cloud expenditures concerning their business value, determining which workloads are best suited for on-premises versus cloud settings. This trend highlights the need for precise migration criteria to optimize resources efficiently while ensuring compliance.
With the advent of quantum computing's capabilities, traditional encryption methods face serious threats. The recommendation for companies is to adopt post-quantum cryptography as an essential strategy, which includes identifying vulnerable systems and updating encryption frameworks to guard against future threats.
Incorporating young talent into existing teams will amplify AI implementations. The inclusion of entry-level workers, who possess vital digital skills, will bridge knowledge gaps within teams. Companies are advised to recruit these individuals actively, offering comprehensive AI training and mentorship programs to meld innovative ideas with experienced insights.
The emerging preference for a three-day in-office workweek allows for a blend of productivity and flexibility. Companies will enhance remote engagement tools, fostering collaborative spaces while also prioritizing mental health and ensuring a sense of belonging for employees working remotely.
Sustainability in AI practices not only fosters environmental responsibility but can also provide companies with a competitive edge. To alleviate the energy demand within data centers, organizations should monitor AI energy usage actively, implement efficient frameworks, and explore alternative energy solutions.
Amidst varying global data regulations, companies must adjust to localized operations. This adjustment involves the establishment of governance frameworks that comply with regional data laws while ensuring clear AI application guidelines to uphold data integrity.
In conclusion, Unisys’ report serves as a strategic roadmap for business leaders, helping them navigate the complexities introduced by innovation and aligning technology with the immediate demands of the market, sustainability, and regulatory requirements. Organizations are urged to leverage these insights effectively as they strategize for the future. For further details and to download the comprehensive report, visit Unisys.
About Unisys: With a legacy of over 150 years, Unisys is a global technology solutions pioneer, dedicated to enabling breakthroughs for leading organizations worldwide. Focused on providing an array of solutions including cloud, AI, and enterprise computing, Unisys helps clients unlock their utmost potential, continually challenging the status quo.
Top IT Insights for 2025. This comprehensive analysis identifies eight critical trends that promise to revolutionize how enterprises adapt to a rapidly evolving technological landscape. The insights stem from extensive discussions with industry experts and organizational leaders, encompassing advances from AI-driven interfaces to post-quantum security measures.
1. Natural Language Revolutionizes AI
a. The next generation of AI will prioritize interaction beyond traditional interfaces. Expect a focus on voice-driven solutions that integrate conversational AI into everyday applications. Organizations will further explore voice and gesture interfaces to streamline workflow automation, resulting in enhanced user experiences productive efficiency.
2. Smaller AI Models and the Rise of Edge Computing
Smaller, more specialized AI models will begin to dominate, especially when paired with edge computing. This trend signifies a shift away from larger, generalized models that may no longer offer optimal performance in business applications. By processing data near its source, latency is significantly reduced, boosting security and cost-effectiveness.
3. Growing Importance of Strategic Hybrid Cloud Usage
As cloud expenses rise, there is a notable move towards hybrid solutions. Organizations will re-evaluate cloud expenditures concerning their business value, determining which workloads are best suited for on-premises versus cloud settings. This trend highlights the need for precise migration criteria to optimize resources efficiently while ensuring compliance.
4. The Necessity of Post-Quantum Cryptography
With the advent of quantum computing's capabilities, traditional encryption methods face serious threats. The recommendation for companies is to adopt post-quantum cryptography as an essential strategy, which includes identifying vulnerable systems and updating encryption frameworks to guard against future threats.
5. Value of Entry-Level Talent
Incorporating young talent into existing teams will amplify AI implementations. The inclusion of entry-level workers, who possess vital digital skills, will bridge knowledge gaps within teams. Companies are advised to recruit these individuals actively, offering comprehensive AI training and mentorship programs to meld innovative ideas with experienced insights.
6. The New Norm: A Three-Day Hybrid Work Model
The emerging preference for a three-day in-office workweek allows for a blend of productivity and flexibility. Companies will enhance remote engagement tools, fostering collaborative spaces while also prioritizing mental health and ensuring a sense of belonging for employees working remotely.
7. Championing Energy-Efficient AI Innovations
Sustainability in AI practices not only fosters environmental responsibility but can also provide companies with a competitive edge. To alleviate the energy demand within data centers, organizations should monitor AI energy usage actively, implement efficient frameworks, and explore alternative energy solutions.
8. Compliance and Localization in AI
Amidst varying global data regulations, companies must adjust to localized operations. This adjustment involves the establishment of governance frameworks that comply with regional data laws while ensuring clear AI application guidelines to uphold data integrity.
In conclusion, Unisys’ report serves as a strategic roadmap for business leaders, helping them navigate the complexities introduced by innovation and aligning technology with the immediate demands of the market, sustainability, and regulatory requirements. Organizations are urged to leverage these insights effectively as they strategize for the future. For further details and to download the comprehensive report, visit Unisys.
About Unisys: With a legacy of over 150 years, Unisys is a global technology solutions pioneer, dedicated to enabling breakthroughs for leading organizations worldwide. Focused on providing an array of solutions including cloud, AI, and enterprise computing, Unisys helps clients unlock their utmost potential, continually challenging the status quo.
Topics Business Technology）
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