Palo Alto Networks
DECEMBER 8, 2021
Many governments globally are concerned about IoT security, particularly as more IoT devices are rolling out across critical sectors of their economies and as cyberattacks that leverage IoT devices make headlines. In response, many officials are exploring regulations or codes of practice aimed at improving IoT security.
CIO
NOVEMBER 7, 2022
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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Altexsoft
JULY 23, 2020
When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.
O'Reilly Media - Ideas
FEBRUARY 4, 2019
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.
CIO
FEBRUARY 13, 2024
At its core, the Smart Rainforest is a sophisticated network of Internet of Things (IoT) devices strategically deployed across the rainforest region. From tracking temperature and humidity to monitoring soil composition and wildlife activity, the IoT integration provides an intricate understanding of the rainforest ecosystem.
CIO
DECEMBER 7, 2023
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.
CIO
JANUARY 13, 2023
government. Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. I’ve given this question considerable thought in my role advising many of my former colleagues and other leaders in the U.S. They are: Innovations in automation.
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