- “More familiar technologies, such as edge AI, decision intelligence and knowledge graphs, are at the peak of inflated expectations phase of the hype cycle, while chatbots, autonomous vehicles and computer vision are all in the trough of disillusionment.
- Gartner analysts Shubhangi Vashisth and Svetlana Sicular wrote the report and identified these four AI mega trends:
1. Companies are looking to operationalize AI platforms to enable reusability, scalability and governance and speed up AI adoption and growth. AI orchestration and automation platforms (AIOAPs) and model operationalization (ModelOps) reflect this trend.
2. Innovation in AI means efficient use of all resources, including data, models and compute. Multi-experience AI, composite AI, generative AI and transformers are examples of this trend.
3. Responsible AI includes explainable AI, risk management and AI ethics for increased trust, transparency, fairness and auditability of AI initiatives.
4. Small and wide data approaches enable more robust analytics and AI, reduce organizations’ dependency on big data and deliver more complete situational awareness.”
– “Artificial intelligence’s impact on generating code, augmenting design and innovation is all 5- to 10-years away.
– Composable is going to be a key buzzword for applications and networks.
– Industry clouds are just beginning on the hype cycle with a plateau reached in 5- to 10-years. That take is interesting given industry clouds are everywhere from multiple vendors.
– Digital humans are being talked about a good bit, but Gartner reckons the technology is more than 10 years away from productivity gains. Quantum-based machine learning is also more than 10 years out.”
“By 2025, traditional computing technologies will hit a digital wall forcing the shift to new paradigms such as neuromorphic computing.
Current computing techniques will not be enough to allow CIOs and IT executives to deliver critical digital initiatives by 2025. Artificial intelligence (AI), computer vision and speech recognition will be used everywhere, and general-purpose processors will be unsuitable.”
- “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.
- 30% of CEOs own AI initiatives in their organizations and regularly redefine resources, reporting structures and systems to ensure success.
- Chatbots are projected to see over a 100% increase in their adoption rates in the next two to five years and are the leading AI use cases in enterprises today.”
“Gartner has named H2O.ai a Visionary for Data Science and Machine Learning Platforms based on its Completeness of Vision.
At H2O.ai, we believe that our strength is rooted in our open source background and machine learning components that are effectively an industry standard, with many other platforms integrating them.
We believe we have built on the strength of our open source offering with an innovative Automatic Machine Learning platform with rich explainability functionality, H2O Driverless AI.
As the vendor with the strongest completeness of vision of the 16 vendors evaluated in Gartner’s 2020 Magic Quadrant for Data Science and Machine Learning Platforms, H2O.ai continues to drive the AI industry forward and accelerate AI adoption in the enterprise with its innovation, roadmap and vision.”
2020 Gartner Magic Quadrant