Remove Architecture Remove Artificial Intelligence Remove IoT Remove Machine Learning
article thumbnail

Innovative data integration in 2024: Pioneering the future of data integration

CIO

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

article thumbnail

Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What is enterprise architecture? A framework for transformation

CIO

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

article thumbnail

Leveraging Machine Learning and Artificial Intelligence for 5G

CableLabs

Machine Learning (ML) and Artificial Intelligence (AI) can assist wireless operators to overcome these challenges by analyzing the geographic information, engineering parameters and historic data to: Forecast the peak traffic, resource utilization and application types. ML/AI-as-a-service offering for end users.

article thumbnail

The AI continuum

CIO

Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. Don’t use generative AI for a problem that classical machine learning has already solved. Learn more. Learn more. [1]

article thumbnail

Edge Computing: a powerful enabler for industrial frontline workers

CIO

Traditional, centralized computing architectures cannot deliver the speed and reliability required for critical frontline tasks. Advanced analytics: Edge computing empowers frontline workers with machine learning algorithms for predictive and prescriptive recommendations for more rapid task execution.

Industry 246
article thumbnail

How modern CIOs are freeing up time to lead strategy

CIO

But most importantly, without strong connectivity, businesses can’t take advantage of the newest advancements in technology such as hybrid multi-cloud architecture, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and edge micro data centre deployment.