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AI-powered underwater vehicle transforms offshore wind inspections

AI News

This deployment marks a crucial step in Beam’s roadmap for autonomous technology, with plans to extend this AI-driven solution across its fleet of DP2 vessels, ROVs, and autonomous underwater vehicles (AUVs) throughout 2025 and 2026.

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AI governance gap: 95% of firms haven’t implemented frameworks

AI News

Data integrity and security emerged as the biggest deterrents to implementing new AI solutions. Executives also reported encountering various AI performance issues, including: Data quality issues (e.g., Additionally, 65% expressed concern about IP infringement and data security.

Big Data 246
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Navigating the data deluge with robust data intelligence

IBM Journey to AI blog

The data conundrum: Managing the rise of data creation As we delve into the datasphere, the numbers are staggering. Global data creation is projected to surpass 180 zettabytes by 2025, a meteoric rise from the already overwhelming 64 zettabytes documented in 2020. million annually due to poor data quality.

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5 Challenges of AI in Healthcare

Unite.AI

The AI healthcare software and hardware market is expected to surpass $34 billion by 2025 globally. Challenges of Using AI in Healthcare Physicians, doctors, nurses, and other healthcare providers face many challenges integrating AI into their workflows, from displacement of human labor to data quality issues.

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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning Blog

The service, which was launched in March 2021, predates several popular AWS offerings that have anomaly detection, such as Amazon OpenSearch , Amazon CloudWatch , AWS Glue Data Quality , Amazon Redshift ML , and Amazon QuickSight. You can review the recommendations and augment rules from over 25 included data quality rules.

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

The quality and quantity of data can make or break AI success, and organizations that effectively harness and manage their data will reap the most benefits. Data is exploding, both in volume and in variety. Effective data quality management is crucial to mitigating these risks. But it’s not so simple.

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A Practical Guide to Making the Most of Your Investment in AI

Unite.AI

With all of this in mind, it’s no surprise that investment in AI is projected to top $200 billion by 2025. Taking stock of which data the company has available and identifying any blind spots can help build out data-gathering initiatives.

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