Gartner’s 12 Emerging Tech Innovations Set to Disrupt Industries

Gartner’s latest report identifies 12 emerging technologies likely to disrupt industries, stressing the importance of prioritizing innovations like cybersecurity, domain-specific language models, and disinformation security. Organizations are urged to act swiftly to maintain competitive advantage as these technologies develop.

In a recent report, Gartner, the well-known research firm, unveiled 12 early-stage innovations poised to disrupt industries and open new market horizons. Among these are concepts like disinformation security, algorithm-aligned silicon, and hyper-synthetic data, each indicating major transformations in how we manage, protect, and model intelligence. Other promising technologies include polyfunctional robots and domain-specific AI, among others. Essentially, these innovations are set to shake things up in the tech world.

Gartner’s report coupled the innovations list with a clear call to action for tech leaders to seize the moment. Facing rapid advancements, businesses are urged to act swiftly to maintain a competitive edge in this ever-competitive landscape.

So, what should companies prioritize? Bill Ray, a respected VP analyst at Gartner, highlighted that though all 12 technologies hold significance, which ones to prioritize hinges on each organization’s unique goals and the industry context. So, it’s all about finding the right fit and timing.

When it comes to cybersecurity, it’s more important than ever. Ray characterized preemptive cybersecurity as a universal need—something every industry must take seriously. Given the rising sophistication of cyber threats, it’s no longer just an option; it’s a fundamental necessity. Organizations can’t afford to sit on their hands anymore.

Looking ahead to the future of Generative AI (GenAI), domain-specific language models (DSLMs) are expected to play a big role, with Gartner predicting that by 2030, a whopping 90% of GenAI systems will rely on them. Ray pointed out that overlooking DSLMs could be risky, as competitors will likely adopt them, raising the stakes significantly.

Another area where change is brewing is what’s termed ‘earth intelligence.’ This involves using satellite-based remote sensing combined with AI to monitor and respond to shifts in the environment. Gartner estimates that by 2028, 80% of key surface assets on Earth will be monitored from space. While initially adopted by the defense sector, other industries are quickly jumping on the bandwagon thanks to advancements in data collection and analytics.

Not every technology impacts all industries equally. For instance, polyfunctional robots are set to revolutionize fields like manufacturing, logistics, and the supply chain, where their ability to handle various tasks via intelligent software can prove immensely useful. Meanwhile, algorithm-aligned silicon, which maximizes silicon components for AI, is more of a game changer for those structuring AI infrastructure rather than end users.

Ray also emphasized the significance of issues like digital ethics, looming power shortages, and GenAI-enabled code production, noting that their impacts will be varied but will have widespread implications across different sectors.

Disinformation security is also emerging as a vital focal point. Gartner has projected that half of all enterprises will adopt measures against disinformation security by 2030, a substantial increase considering it stands below 5% in 2024. “Disinformation attacks can exploit external platforms like social media and often come from regions with weak legal frameworks,” stated Alfredo Ramirez IV, a senior director analyst at Gartner. He stressed the urgency for tech leaders to incorporate AI and machine learning in product development for content verification and data provenance tracking, ultimately helping users discern fact from fiction.

Gartner’s report highlights the need for tech leaders to adapt their strategies around 12 emerging technologies that promise to disrupt traditional industries. Cybersecurity, especially preemptive measures, must be prioritized to safeguard against sophisticated threats. Moreover, domain-specific AI, earth intelligence, and disinformation security are key areas to watch, each posing unique challenges and opportunities. With the right approach, organizations can navigate this evolving landscape and secure a competitive edge.

Original Source: www.techrepublic.com