Search results for: 'Agentic AI in Service Automation Unlocking Efficiency and Personalization'

The Advanced Manufacturing Technology Opportunity Engine provides profiles of innovations related to a dexterous robotic hand with tactile sensing designed for sustained industrial operations, a compact high-degree-of-freedom robotic hand enabling seamless integration across humanoid platforms, and AI-driven robotic automation systems enhancing pal...

Artificial Intelligence (AI) is the shining star of contact center innovation and began gaining features, focus, and adoption in 2022. AI is enhancing capabilities across the contact center spectrum: from agent hiring and training, resource forecasting, and quality and performance management to process automation, workforce optimization, and custom...

Generative AI (Gen AI) continues to create an impact across industries including automotive. In the next decade, Gen AI is expected to significantly influence automotive value chains, increase efficiency, productivity, and reduce wastes. In the supply chain, it will be used to optimize inventory and demand forecasting while in product development i...

10 Feb 2023  |  North America  |  Market Research

Pulp and Paper Automation Growth Opportunities

Innovation Culture Driving Sustainable and Scalable Automation Opportunities

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Recent changes in pulp and paper manufacturing have led to significant developments in the pulp and paper automation market. Pulp and paper manufacturers have been under constant pressure to reduce costs, particularly due to the rising prices of energy and raw materials. This has resulted in an increasing reliance on automation solutions that ramp ...

This research report frames artificial intelligence (AI) not as an incremental feature but as a paradigm shift in unified communications (UC), redefining how enterprises connect, coordinate, and get work done. For decades, UC platforms have acted as passive conduits—carrying calls, messages, and meetings between people. The emerging generation of A...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

The global market for agentic orchestration platforms is entering a pivotal phase of transformation as enterprises shift from isolated artificial intelligence (AI) experimentation to production-scale deployment. This study examines how organizations are moving beyond pilot initiatives toward embedding agentic systems into enterprise workflows, rede...

Artificial Intelligence (AI) applications have captured the attention of enterprise and consumer segments. AI technology implementation has increased, and it is being adopted across industries and business functions worldwide driving operational efficiencies and creating strategic differentiation. In addition, with the recent disruption in the gene...

Generative AI (GenAI) has garnered huge interest and holds great promise for optimizing business operations by automating routine tasks, streamlining workflows, and providing intelligent insights that improve efficiency, quality, and performance. Ongoing innovation in artificial intelligence (AI) has introduced GenAI with far-reaching implicatio...