Gartner research reveals four emerging technologies and trends to which tech vendors and product leaders will need to respond, calibrating their tech strategies, investments, and tools to stay ahead:
- Smart world expands with an increased fusion of physical-digital experiences.
- Productivity revolution accelerates with advances in artificial intelligence (AI) tools and tech.
- Transparency and privacy get more scrutiny amid exponential growth in corporate and personal data collection.
- New critical technology enablers create new business and monetization opportunities.
These trends surfaced in the 2023 Gartner Emerging Technologies and Trends Impact Radar, which highlights 26 emerging trends and technologies to which vendors must respond, whether they are new or established players in that space.
The Impact Radar portrays the maturity, market momentum, and influence of technologies, making it a handy tool for product leaders to identify and track the technologies and trends that will help them improve and differentiate their products, remain competitive, and capitalize on market opportunities.
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Four Emerging Technologies Disrupting the Next Three to Eight Years
Most of this year's emerging technologies and trends are three to eight years away from reaching widespread adoption but represent a significant innovation in the years ahead.
Let’s look at four we think will prove especially interesting.
No. 1: Neuromorphic computing
- A critical enabler, neuromorphic computing provides a mechanism to more accurately model the operation of a biological brain using digital or analog processing techniques.
- It will take three to six years to cross over from early-adopter status to early majority adoption.
- Neuromorphic computing will have a substantial impact on existing products and markets.
We expect breakthrough neuromorphic devices by the end of 2023, but it will likely take five years for these devices to reach early majority adoption.
The impact is likely to be significant, though, as neuromorphic computing is expected to disrupt many of the current AI technology developments, delivering power savings and performance benefits not achievable with current generations of AI chips.
No. 2: Self-supervised learning
- Self-supervised learning accelerates productivity by using an automated approach to annotating and labeling data.
- It will take six to eight years to cross over from early-adopter status to early majority adoption.
- Self-supervised learning will have a significant impact on existing products and markets.
The potential impact and benefits of self-supervised learning are extensive, as it will extend the applicability of machine learning to organizations with limited access to large datasets. Its relevance is most prominent in AI applications that typically rely on labeled data, primarily computer vision and NLP.
No. 3: Metaverse
- The metaverse fuels the smart world by providing an immersive digital environment.
- It will take eight-plus years to cross over from early-adopter status to early majority adoption.
- The metaverse will have a very substantial impact on existing products and markets.
And this next one is of special interest to us here at MP4PM.club since we are convinced that this is where we are heading to in terms of business and society:
No. 4: Human-centered AI
- Human-centered AI (HCAI) is a common AI design principle calling for AI to benefit people and society, which could improve transparency and privacy.
- It will take three to six years to reach early majority adoption.
- HCAI will have a substantial impact on existing products and markets.
HCAI assumes a partnership model of people and AI working together to enhance cognitive performance, including learning, decision-making, and new experiences. HCAI is sometimes referred to as “augmented intelligence,” “centaur intelligence” or “human in the loop,” but in a wider sense, even a fully automated system must have human benefits as a goal.
HCAI enables vendors to manage AI risks and to be ethical, responsible, and more efficient with automation while complementing AI with a human touch and with common sense. Many AI vendors have already shifted their positions to the more impactful and responsible HCAI approach. The technology-centric approach to developing AI products has led to numerous negative impacts, urging vendors to rethink their AI product strategies.
The potential impact of HCAI is high because it leverages human abilities to make humans more productive and remove avoidable limitations, biases, and blind spots.
- The Gartner Emerging Tech Impact Radar highlights the technologies and trends that have the most potential to disrupt a broad cross-section of markets.
- The trends are organized around four key themes, which are critical for product leaders to evaluate as part of their competitive strategy.
- Product leaders must explore these technologies now to capitalize on market opportunities.
read the original full article here: https://www.gartner.com/en/articles/4-emerging-technologies-you-need-to-know-about
Download now: Your Detailed Guide to Gartner Emerging Tech Impact Radar 2023
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