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AI Adoption in the Enterprise 2021

O'Reilly on Data

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. First, we wanted to understand how the use of AI grew in the past year. In our 2020 survey, which reached the same audience, we had 1,239 responses. Executive Summary.

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6 trends framing the state of AI and ML

O'Reilly on Data

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. Although TensorFlow grew by just 3%, it, too, garnered 22% share of AI/ML usage in 2019.

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AI Maturity Survey: Where Are We in the Path to Enterprise AI?

Dataiku

With all the media hype and coverage around AI, one might think that every company out there has Enterprise AI all figured out and is extremely mature in their data journey. However, we surveyed more than 350 data professionals and found a different story.

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The 4 most overhyped technologies in IT

CIO Business Intelligence

Generative AI Perhaps not surprisingly, generative AI tops the list of today’s overhyped tech. Consider some recent survey findings. At the same time, today’s hype may be distracting enterprise leaders from fully understanding how generative AI (also known as GAI) will evolve and how they can use that power in the future.

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“Cloud adoption momentum in the GCC will gain further impetus in 2024”

CIO Business Intelligence

Developing generative AI implementation strategies will be imperative for technology leaders, prioritizing key areas such as business model building, internal operational improvements, risk mitigation, and overall organizational efficiency. AI is emerging as a key part of digital business initiatives for GCC organizations.

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RPA and IPA – Their Similarities are Different, but Their Rapid Growth Trajectories are the Same

Rocket-Powered Data Science

This is accomplished by adding more data-driven, machine learning, and AI (artificial intelligence) components to the process discovery, process mining, and process learning stages. AAI’s recently published “Now and Next State of RPA” report presents detailed results of that survey. The average ROI from RPA/IA deployments is 250%.

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Why CIOs should invest in digital through economic headwinds

CIO Business Intelligence

But released the next day, the 2023 Gartner CIO and Technology Executive Survey revealed that EMEA-based CIOs expect IT budgets to increase 4.4% Approximately 34% are increasing investment in artificial intelligence (AI) and 24% in hyper-automation as well. on average over the next year, somewhat lower than the projected 6.5%