206 total views, 1 views today
Gartner research has announced 10 “strategic technology trends that will drive significant disruption and opportunity over the next 5 to 10 years.” And the trends include “hyperautomation” — applying advanced technologies like AI and machine learning to tasks “that once required humans,” combining robotic process automation with intelligent business management software to provide “real-time, continuous intelligence about the organization…with a goal of increasingly AI-driven decision making.”
They also predict “autonomous things,” including drones, appliances, robots, and even ships, sometimes working in collaborative swarms, that “exploit AI to perform tasks usually done by humans.” Trend #6 is “the empowered edge,” where IoT devices become the foundation for “smart spaces” that move services and applications closer to where they’re actually used, creating a world of smart buildings and city spaces. Plus, they’re also predicting a movement from centralized public clouds to distributed public clouds which allow data centers to be located anywhere. (“This solves both technical issues like latency and also regulatory challenges like data sovereignty.”)
Trend #10 looks at the possibility of AI-enhanced security solutions — and AI-powered security threats — as well as the need to provide security for our new AI-powered systems. But they also envision a trend that “replaces technology-literate people with people-literate technology” providing sophisticated “multiexperiences” though “multisensory and multitouchpoint interfaces like wearables and advanced computer sensors.” They even predict “fully-scalable” blockchain by 2023, while also predicting its impact on the economy will be felt through integrations with “complementary technologies” like AI and IoT. (“For example, a car would be able to negotiate insurance prices directly with the insurance company based on data gathered by its sensors.”)
Trend #3 is “Democratization of technology” (or “citizen access”), a prediction which includes “AI-driven development” of data science models for automated testing. And interestingly, trend #5 is transparency and traceability:
The evolution of technology is creating a trust crisis. As consumers become more aware of how their data is being collected and used, organizations are also recognizing the increasing liability of storing and gathering the data. Additionally, AI and ML are increasingly used to make decisions in place of humans, evolving the trust crisis and driving the need for ideas like explainable AI and AI governance.
This trend requires a focus on six key elements of trust: Ethics, integrity, openness, accountability, competence and consistency.
Trend #4 even predicts humans will merge with technology. “[W]hat if scientists could augment the brain to increase memory storage, or implant a chip to decode neural patterns? What if exoskeletons became a standard uniform for autoworkers, enabling them to lift superhuman weights? What if doctors could implant sensors to track how drugs travel inside a body…?”
What the gods would destroy they first submit to an IEEE standards committee.