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Navigating the Intelligent Automation 2.0 Era – Top 8 Trends of 2024

Zinnov

Based on our in-depth interactions with platform company CXOs, Enterprise decision-makers, Service Provider practitioners, and industry SMEs, there are eight key trends that we believe will shape the Intelligent Automation landscape in 2024 and beyond. With Intelligent Automation 2.0,

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Generative AI as a catalyst for change in the telecommunications industry

IBM Services

Generative artificial intelligence (AI) burst into the mainstream in 2023, lighting a fire under businesses to integrate enterprise-grade versions into their processes. Many of today’s employees utilize a staggering number of manual processes or fragmented tooling in their day-to-day jobs, with constant screen switching.

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Economic Oasis: Revenue Cycle Management Thriving Through Turbulent Times | Blog

Everest Group

R1 RCM’s acquisition of Cloudmed in 2022 to advance its revenue intelligence and automation capabilities is one of many examples. Investors and service providers should prioritize and plan portfolio updates in emerging opportunities like prompt engineering services, gen AI model training, and data contextualization.

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The Low-Code Movement Will Spur Process Intelligence

Automation Anywhere

Formal software engineering skills are not required to create applications since a visual user interface in combination with model-driven logic is used. According to Gartner , more than 65% of application development in 2024 will be performed by low-code platforms. Companies still struggle to get more than 50 bots deployed.

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A Practical Guide To AI Implementation Strategy For SMBs

Amzur

Implementing AI-powered Language Models (LLMs) such as ChatGPT, Bard, and others can streamline data summaries, expediting decision-making processes across various domains. Additionally, integrating backend engines with Cloud platforms via APIs facilitates smoother data migration and integration. In 2024, they plan to devote 34%.

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8 Trends That Will Shape The Intelligent Automation Landscape in 2023

Zinnov

The study rates the players based on overall capabilities across the Automation lifecycle. In line with the changing paradigm in the space and the ever-evolving philosophy of Intelligent Automation, 7 platforms emerged as leaders in the overall HIA category – UiPath, Nintex, Microsoft, Kofax, Appian, ServiceNow, and Pega.

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Throwing the Bones: Predictions About Future Trends in Software Development

3Pillar Global

Lead Software Engineer Paul Estrada predicts we’ll start to see AI/ML become more ubiquitous relatively soon. Beyond making sure that your AI tools are capable of capturing and analyzing insights that aren’t readily available to your competitors, you’ll need to really get serious about AI engineering. increase in demand.”.