Remove Compliance Remove Innovation Remove Machine Learning Remove Storage
article thumbnail

The impact of AI on edge computing

CIO

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge processing keeps sensitive data local, addressing privacy concerns and ensuring compliance with data protection regulations. billion in 2027 with a compound annual growth rate (CAGR) of 86.1%

article thumbnail

How automation enables better data governance

CIO

The answer for many businesses has been automation, with countless large and highly regulated organizations turning to automation software to even the content management and compliance playing field. However, these innovative tools have been around for decades and are highly applicable and available.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Singularity Energy raises $4.5 million seed round to decarbonize the grid

TechCrunch

It also uses machine learning to predict spikes and troughs in carbon intensity, allowing customers to time their energy use to trim their carbon footprints. The company initially focused on helping utility customers reduce their electricity costs by shaving demand or turning to battery storage. founder and CEO Wenbo Shi said.

Energy 209
article thumbnail

Addressing the Elephant in the Room – Welcome to Today’s Cloudera

Cloudera

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies.

article thumbnail

Prioritizing AI? Don’t shortchange IT fundamentals

CIO

In fact, for security, compliance, and efficiency reasons, CIOs will want to carefully manage which data generative AI has access to. As the cost of data storage has fallen, many organizations are keeping unnecessary data, or cleaning up data that’s out of date or no longer useful after a migration or reorganization.

article thumbnail

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We first delve into the vulnerabilities, threats, and risks that arise from the implementation, deployment, and use of LLM solutions, and provide guidance on how to start innovating with security in mind.

article thumbnail

Streamlining Investigations: The Benefits of Automated AP Fraud Detection Solutions

Cherry Work

Leveraging advanced technologies such as artificial intelligence (AI) and machine learning (ML), these solutions analyze vast amounts of transactional data to detect anomalies, patterns, and suspicious activities that may indicate fraudulent behavior.