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Preserving rainforests through innovation and collaboration

CIO

NTT’s Smart Rainforest project is a groundbreaking endeavor that brings together innovative technology and environmental stewardship with the goal of transforming rainforest conservation. At its core, the Smart Rainforest is a sophisticated network of Internet of Things (IoT) devices strategically deployed across the rainforest region.

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How to Launch Your AI Projects from Pilot to Production – and Ensure Success

CIO

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Are they ready to transform business processes with machine learning capabilities, or will they slow down investments at the first speed bump?

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

How companies in Europe are preparing for and adopting AI and ML technologies. 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. Data preparation, data governance, and data lineage.

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When natural disasters strike Japan, ?ita University’s EDiSON is ready to act

CIO

But until recently , gathering accurate and timely data from multiple sources had been challenging for the local island governments because of a lack of equipment, process and format standardization, technology, and human resources. And the key to success is having data that can be analyzed for actionable insights.

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

When speaking of machine learning, we typically discuss data preparation or model building. Much less often the technology is mentioned in terms of deployment. I/CD ) practices for deploying and updating machine learning pipelines. Machine learning involves a lot of experimenting. MLOps vs DevOps.

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What Whirlpool’s CIO does to make its digital business models run end to end

CIO

We have to think about that technology and how it’s layered together as an IT organization. On four strategic priorities: One is delivering product leadership, which includes data and technology that support things like the digital twin and digital thread throughout a product’s lifecycle. AI and machine learning are mature today.

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO

government. Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. Cyber threats are increasingly automated using advanced technology. They are: Innovations in automation. Data and Information Security, IT Leadership.

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