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The Dog Days of August are here, which can only mean one thing: It’s Gartner Hype Cycle time for emerging technologies! The 2022 edition will include a number of data and AI technologies among the 25 entries, including data visualization and metadata. But which technology has staying power?
Gartner Generates Multiple Integration Cycles – Click here to read Jaime Hampton’s Gartner Integration Cycle for the Integration Platform as a Service (iPAS) Market. But the fake spin on emerging technology is unique because the respected analyst group sheds light on the collective understanding of more than 2,000 technologies, tracking a couple of dozen “must-know” topics that have the potential to move the needle up for early adopters. The next two to 10 years.
Gartner has grouped the 2022 hype cycle around three themes that it sees playing a major role in the current technology landscape. They include immersive experiences, AI automation, streamlining how technologists deliver new technology.
Technologies to look out for in the immersive experience category include metaverse, non-fungible tokens (NFTs), super apps and Web3, decentralized identity, digital people, customer digital twin and internal talent marketplaces. In AI automation, Gartner recommends pursuing areas such as autonomous systems, causal AI, foundational models, generative design AI, and machine learning code generation.
Hype Cycle for Emerging Technologies, 2022 (Source: Gartner)
Meanwhile, technologists rely on many things to help them deliver new digital products and services, including: compute storage, data observability, open telemetry, agile development, cloud data ecosystem, cloud sustainability, cybersecurity mesh architecture, dynamic risk management, Industrial cloud platforms, minimal viable architecture, platform engineering and augmented finOps.
“All of the technologies on this hype cycle are in their infancy,” Gartner Distinguished VP Analyst Gary Oliff said in a press release, “but some are still in their infancy and there is uncertainty about how they will develop. Such technologies present greater risks to deployment, but their organization Consistent with their ability to manage unproven technologies, they offer greater benefits to early adopters in evaluating and exploiting them.
The meta-version that refers to virtual reality and augmented reality (listed in previous new technology hype cycles) is primarily a user-centric technology. But, because of its huge potential, big tech companies are pushing their stocks into the ground to be ready when the technology matures (still more than 10 years from now, according to Gartner). Metaverse is also being touted as a new delivery vehicle for real-time analytics insights, and the potential around data collection is huge.
Data observability has been a hot topic over the past couple of years and is a topic we expect to make news in the second half of 2022. We also appreciate Gartner including OpenTelemetry as a technology in its new incentive cycle. Data providers and IT observability and application performance management (APM) tools have emerged as the standard to agree upon.
Data observability is rapidly becoming a necessity for organizations awash in data (Curhan/Shutterstock)
Casual AI, on the other hand, is an emerging field of AI that goes beyond the application of statistical probabilities and seeks to model the actual cause and effect of events. In the field of predicting human behavior, causal AI could help policymakers avoid making the “catastrophic … mistakes” that have resulted from the age-old mistake of confusing causality, researchers at the Intrusion Foundation wrote in “The Case for Causal AI.” It was published two years ago Stanford Social Innovation Review.
Compute storage is an emerging technology that sees the addition of processors within the limits of the storage device. These compute storage devices (CSDs), such as the Smart SSD that Samsung plans to introduce later this year, can offload processing and acceleration from servers, reducing CPU load and saving network bandwidth.
Gartner highlighted the latest activity around the cloud data ecosystem, which is something we’ve been following. The name of the data. Industry giants like AWS and Snowflake have early leadership in the category, but new data marketplaces are quickly emerging, as Databricks launched two months ago.
Other technologies on the 2022 list, including observability-driven development–where the state and behavior of the system are monitored before, during, and after development–have the potential to be better, more responsive, and accelerate further development. Reliable applications.
One concern is that only three of the technologies listed on the 2021 Hype Cycle for Emerging Technologies will return in 2022. This makes it difficult to gauge whether Gartner is tracking the development of these new technologies over time (alas, we don’t pay subscribers).
NFTs and decentralized ledger, which were neck and neck in the 2021 hype cycle, are still tied at the hip, but have moved further from the edge of overblown expectations and headed straight down the path of disappointment, climbing out of the light slope two to five years ago and toward the hallowed plateau of productivity. Digital People, meanwhile, remains where it was in 2021: firmly planted on the cusp of wildly inflated expectations following the Innovation Trigger, a 10-plus-year wait to the Promised Land.
Technologies we want to see included in the hype cycle include quantum ML, homomorphic encryption, physics-informed AI, AI-enhanced design, active metadata management, and data fabric. We also wonder what happened to smart dust, a perennial contender at Gartner’s annual midsummer but relegated to the dustbin of tech history.
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