RESPONSIBLE AI AI use cases have matured , which is why they are facing increased scrutiny . It is no longer sufficient that AI systems perform well – their predictions need to be fair and easily explainable to clients and regulators . Frameworks and best practices are emerging to meet these requirements for more robust and improved AI solutions .
1 . Responsible AI Explainability and fairness are required
2 . Cloud at the Edge Central and distributed capacities must be balanced
CLOUD AT THE EDGE Sovereignty and edge computing needs are the new challenges for CTOs . Cloud adoption has transformed IT organizations , governance and operating models ( FinOps , CloudOps functions ). There is a need to bring computing capacities closer to users and resources for real-time processing and sovereignty requirements . Edge computing and sovereign clouds are now counterbalancing extreme cloud centralization .
CYBERSECURITY MESH There should be a distributed approach to network security with individual perimeters around each access point rather than a traditional top-down all-encompassing approach . The cybersecurity mesh is a distributed architectural approach for scalable , flexible and reliable cyber control . The mesh changes the focus from protecting a traditional IT perimeter ( analogous to a “ walled city ”) to a more modular approach that centralizes policy orchestration but distributes cyber security enforcement .
EMBEDDED DATA AND ANALYTICS Companies that succeed have a holistic approach and continuously embed data and analytics into the business . They keep an eye on new trends and adjust accordingly but always move along a roadmap with initiatives and use cases that drive them toward their goals . Companies must define and prioritize use cases , ensure that insights are actionable and work with a holistic plan . Without this harvesting value from data is costly and difficult .
CONNECTED SENSORS AND MACHINES Connected sensors and machines are at the peak of an ongoing revolution that is leading us toward a world in which everything is measured . The combination of sensor data and powerful analytics on the edge and cloud will act as a springboard for innovation and predicting the future .
3 . Cybersecurity Mesh Risk is increasing - security approach adapts
BearingPoint Top 5 Tech Trends
4 . Embedded Data & Analytics Without actionable use cases companies get lost
5 . Connected Sensors & Machines Everything around and within us can be measured
Furthermore , according to the new BearingPoint benchmark analysis on Resilience , the effective use of technology is a key characteristic of resilient companies and organizations .
Many analysts believe that IT trends are responsible for pushing and reshaping changes in the economy . In the process , it has become clear that pioneers must necessarily also be technology leaders . Due to the rapid digitalization push , technology has become an essential element of global market leadership .
Companies have also learned that pioneers do not wait for the “ new normal ” but shape it themselves . Big changes require courageous leadership – and the prioritization of technology . It ’ s not just about continuing to run the business but also about breaking down conventions and creating a new vision for the future .
A new future lies ahead - one that is different from anything that has gone before . People are ready for something new . And it is time for businesses to join them .