Search results for: 'Machine Vision Market, Global, 2024-2029'

Cloud forms a critical part of the digital transformation efforts of enterprises worldwide. Cloud infrastructure, platforms, and applications extend the benefits of flexibility, scale, and cost to IT and business teams. Yet, year after year, we find that organizations report managing costs in the public cloud as a major challenge. Consequently, int...

The data center colocation industry in North America is experiencing dynamic and rapid growth, offering enterprises cost-effective and dependable solutions for their IT infrastructure requirements. With the surge in enterprise digital transformation, sustainability initiatives, and the adoption of immersive technology, data centers have become esse...

Enterprise awareness and adoption of artificial intelligence (AI) have accelerated significantly worldwide. Advances in AI technologies, combined with increased accessibility, are enabling businesses to integrate AI seamlessly into their operations. Nearly 90% of IT and business decision-makers recognize AI and machine learning as critical to achie...

In Latin America, businesses are increasingly adopting cloud computing, artificial intelligence (AI), and machine learning technologies to support their strategic growth. Digital transformation remains strong, with the cloud solidifying its role as a cornerstone of innovation and efficiency across various industries and critical business segments i...

About 87% of enterprises believe that artificial intelligence (AI) and machine learning (ML) are important in achieving business goals centered around growing revenue, increasing operational efficiency, and boosting customer experience. However, where are global organizations in this journey and what are their adoption drivers and restraints This F...

The demand for chips has experienced exponential growth in recent decades. Presently, the importance of these key hardware components is even higher due to increasing workload demands from innovations like generative artificial intelligence (AI) and machine learning (ML), which are also driving up energy consumption and costs. However, pandemic-ind...

Disruptive technologies, such as innovative business models (e.g., neutral network hosts, satellite partnerships, and open-source collaboration) and the use of AI and GenAI in IoT, will shape the future of the IoT and edge industry. This was the key message delivered by participants in the IoT Solutions World Congress (IoTSWC), held at Fira Barcelo...

Private multi-access edge computing (MEC) involves deploying dedicated computing and networking resources on a client's premises. It prioritizes ultra-low latency, data security, and customization, making it ideal for industrial automation, smart factories, and applications demanding real-time control and stringent data privacy. This segment of the...

03 Jun 2021  |  Global  |  Market Research

Global Artificial Intelligence/Machine Learning Platforms Growth Opportunities

Demand for Disruptive Technologies and Intense Competition Create Future Growth Potential

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Companies across all industry verticals recognize the importance of customer satisfaction (hence, retention) and demand generation (be it new sales, upsells or cross-sells) for business growth. Feeding data into AI/ML platforms, then making sense of such data and creating models that explain or predict customer satisfaction or demand is at the co...