- Gartner hype cycle robotic process automation full#
- Gartner hype cycle robotic process automation series#
Gartner hype cycle robotic process automation series#
Gartner defines this technology as a series of techniques that enable organizations to manage production models that are more resilient and adapt to major world events like the pandemic or future disruptions.
Gartner hype cycle robotic process automation full#
A better AI deployment strategy is to consider the full scope of technologies on the Hype Cycle and choose those delivering proven financial value to the organizations adopting them. Gartner warns there’s a lot of hype surrounding AGI and organizations would be best to ignore vendors’ claims of having commercial-grade products or platforms ready today with this technology. Artificial General Intelligence (AGI) lacks commercial viability today and organizations need to focus instead on more narrowly focused AI use cases to get results for their business.They’re also recommending organizations look at insight engines’ potential to deliver value across a business. Gartner recommends projects involving Natural Language Processing (NLP), machine learning, chatbots and computer vision to be prioritized above other AI initiatives. Gartner clients are wisely moving to minimum viable product and accelerating AI development to get results quickly in the pandemic. Before the pandemic, pilot projects’ success or failure was, for the most part, dependent on if a project had an executive sponsor and how much influence they had.
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Reusability, scalability, safety and responsible use of AI and AI governance are the catalysts contributing to the second theme. The second theme is the industrialization of AI platforms.
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The greater the democratization of AI, the greater the importance of developers and DevOps to create enterprise-grade applications. The first theme is the democratization or broader adoption of AI across organizations. Two dominant themes emerge from the combination of 30 diverse AI technologies in this year’s Hype Cycle. These and many other new insights are from the Gartner Hype Cycle for Artificial Intelligence, 2020, published on July 27 th of this year and provided in the recent article, 2 Megatrends Dominate the Gartner Hype Cycle for Artificial Intelligence, 2020. Five new technology categories are included in this year’s Hype Cycle for AI, including small data, generative AI, composite AI, responsible AI and things as customers.AI projects continue to accelerate this year in healthcare, bioscience, manufacturing, financial services and supply chain sectors despite greater economic & social uncertainty.30% of CEOs own AI initiatives in their organizations and regularly redefine resources, reporting structures and systems to ensure success.47% of artificial intelligence (AI) investments were unchanged since the start of the pandemic and 30% of organizations plan to increase their AI investments, according to a recent Gartner poll.AI is starting to deliver on its potential and its benefits for businesses are becoming a reality.