Remove Analytics Remove Compliance Remove IoT Remove Storage
article thumbnail

The impact of AI on edge computing

CIO

Edge processing keeps sensitive data local, addressing privacy concerns and ensuring compliance with data protection regulations. Edge storage solutions: AI-generated content—such as images, videos, or sensor data—requires reliable and scalable storage. This optimization improves efficiency and reduces costs. Resilience.

article thumbnail

The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO

They are playing out across industries with the help of edge computing, Internet of Things (IoT) devices and an innovative approach known as Business Outcomes-as-a-Service. [1] Four Key Benefits of an End-to-End Analytics Service As many tech and industry leaders are noting, [3] businesses are now prioritizing value and speed to deployment.

IoT 317
Insiders

Sign Up for our Newsletter

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

article thumbnail

8 data strategy mistakes to avoid

CIO

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. They also need to establish clear privacy, regulatory compliance, and data governance policies.

Strategy 340
article thumbnail

Innovative Manufacturers are Investing in these Advanced Technologies

CIO

Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. They also see significant gains in areas such as regulatory compliance, process automation and business intelligence. [5]

article thumbnail

Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

article thumbnail

Data Lake vs Data Warehouse

The Crazy Programmer

Choosing the right data storage solution will depend greatly on how the data is going to be used. While both a data lake and a data warehouse share the goal of the process data queries to facilitate analytics, their functions are different. Data lakes work great to store historical data and support compliance.

Data 162
article thumbnail

Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 109