Gartner Top Strategic Technology Trends for 2022 3C

Companies across a wide range of sectors should expect generative AI to materially impact them in the future. Whether it is a positive or negative impact may depend on strategies developed today coupled with the entity’s technology skillset, inquisitiveness and its ability to identify where the impact will be deepest in their business. The technology is certainly going through the hype cycle, especially while we are all grappling with what the technology is, how it works and establishing its limitations.

There are several benefits for employees and organisations, but what aspects of GAI are the most effective? We asked our UK employees who used GAI to evaluate some of the benefits of using these tools. Given the potential of generative AI and its diversity when it comes to applying it, our surveyed employees were asked if, apart from them, there is anyone else in their company who actively uses GAI. 61% of respondents genrative ai answered that a significant portion of their company was actively using generative AI at work. Another 36% responded that some people were using the technology in their company, but that there was also a significant proportion that was not. For generative AI, Gartner suggested it could improve content discovery, creation, authenticity and regulations, automate human work, and enhance customer and employee experiences.

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While the overall outlook for enterprise IT spending is positive, devices spending will decline 8.6 percent in 2023 due to the ongoing impact of inflation on consumer purchasing power. By 2027, AI chips revenue is expected to be more than double the size of the market in 2023, reaching $119.4bn. Gartner notes, “Healthcare and life science organizations must build empathy with consumers — such as patients, members and providers — to create trusted, personalized interactions and relationships. genrative ai Attribution concerns – Audiences expect authenticity and may be wary of fully automated content creation lacking human transparency. Not only this but generative AI can automate many of the repetitive or ‘low hanging’ tasks in the day-to-day role of a content marketer such as administerial, reporting, researching and so on. This approach not only builds trust with consumers but also establishes the business as a credible and knowledgeable authority in its industry.

Hyperautomation enables scalability, remote operation and business model disruption. Cloud-native platforms improve on the traditional lift-and-shift approach to cloud, which fails to take advantage of the benefits of cloud and adds complexity to maintenance. Cloud-native platforms are technologies that allow you to build new application architectures that are resilient, elastic and agile — enabling you to respond to rapid digital change. Privacy-enhancing computation utilises a variety of privacy-protection techniques to allow value to be extracted from data while still meeting compliance requirements. Privacy-enhancing computation secures the processing of personal data in untrusted environments — which is increasingly critical due to evolving privacy and data protection laws as well as growing consumer concerns. Find out how a human-centered approach to AI can deliver results for your business.

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Apart from these technologies mentioned above, social distance technologies and other critical domains directly or indirectly implement AI in many ways. AI technologies are poised to discover new avenues of software development, medical diagnosis, transportation; in short, will transform the way we live and this survey by Gartner proves it. Adaptive ML applications include rainfall prediction for urban infrastructure, adaptive yield prediction based on real-time crop vigour analysis in precision farming and more. AI can now paint auction-worthy art, generate songs and even create faces of people who never existed. These networks are considered to be one of the critical turning points in the history of ML. In the Gartner Hype Cycle, Generative AI featured in the ‘innovation trigger’ segment of the graph.

Generative AI models are typically based on deep learning techniques, particularly generative neural networks such as generative adversarial networks (GANs) and variational autoencoders (VAEs). These models learn patterns and structures from large datasets and then use that knowledge to generate new data that shares similarities with the training examples. Under discussion here is the widely-cited Hype Cycle For Artificial Intelligence published by Gartner Inc, a technology market analyst based in Stamford, Connecticut.

Yakov Livshits

Text-to-speech technologies can create lifelike voices for virtual assistants or audiobooks. AI-driven music generators can compose original scores or mimic specific styles. These technologies are being used in entertainment, accessibility tools for the visually impaired, and other areas where sound plays a crucial role.

• As a result, businesses leverage these tools when mapping out their technology strategies and forecasting their future needs and investment areas.
• These networks are considered to be one of the critical turning points in the history of ML.
• This technology has applications in filmmaking, video games, virtual reality, and more.
• Privacy is a cornerstone of data sharing and differential privacy provides a definitive guide to navigate through the digital realms.

Only 1% of respondents thought that their job was not changing due to generative AI tools. A recent report from Goldman Sachs stating that AI could increase global GDP by 7% also says that up to 300 million full-time jobs could be replaced due to AI. HR leaders responding to the survey said that administrative tasks, policies, document generation and recruiting including job descriptions, were the areas where AI was poised to take a role within their organisations. If we see spending around these human skills increasing, this is proof that there’s a bright future for more than one kind of hybrid work.

Uniphore Recognized in Ten Gartner Hype Cycle Reports

Skillcast also pointed to concerns about the lack of transparency, accountability, and regulation surrounding AI recruitment tools, highlighting the potential for misinformation and biased outcomes in the hiring process. Gartner’s survey revealed that of the 167 HR leaders who responded, more than 60% were participating in enterprise-wide discussions around their organisation’s use of generative AI. More than half (58%) of HR leaders reported that they were collaborating with IT leaders and 45% were collaborating with their organisation’s legal and compliance function to explore the potential use cases. Consultancy Gartner found, however, that more than one-third of HR leaders expected to lead their organisations enterprise-wide AI ethics approach and more than half were currently exploring how they can use generative AI. But, when you have the CEO of the company that produced the two biggest AI game changers of recent times touring the world, telling any government mandarin that will listen that the tech that they themselves developed could destroy the world?

Generative Adversarial Networks (GANs) – A model in which two neural networks compete with each other by using deep learning methods to become more accurate in creating multimedia. See the evolution of the quality output of the popular GAN, Midjourney below. Large Language Models (LLMs) – Sophisticated AI systems, such as GPT, that undergo extensive training in next-word prediction using massive datasets. This training enables them to grasp and generate language that closely resembles human-like communication.

It is a compelling alternative to employing internal resource and the benefits are numerous. Total experience can drive greater customer and employee confidence, satisfaction, loyalty and advocacy through holistic management of stakeholder experiences. Hyperautomation is a disciplined, business-driven approach to rapidly identify, vet and automate as many business and IT processes as possible. Cybersecurity mesh enables best-of-breed, stand-alone security solutions to work together to improve overall security while moving control points closer to the assets they’re designed to protect. It can quickly and reliably verify identity, context and policy adherence across cloud and noncloud environments.

We exist at the point of intersection between technology, social media, finance and innovation. Moreover, photo sessions or advertisements with human models are not only expensive but have a chance of getting into copyright issues. With ML-generated human images, your advertising campaigns can turn hassle-free. Going ahead, generative AI can help transform the healthcare industry entirely as doctors can study an X-ray from different angles, analyze the possibilities of tumor growth and prevent malice at early stages. Generative AI will also aid healthcare professionals inefficient drug discovery, rendering prosthetic limbs through CRISPR or similar technologies. Customers who prefer websites, SMS, WhatsApp or Facebook Messenger can quickly resolve issues on their channel of choice at a convenient time.