Remove Cost-Benefit Remove Data Warehouse Remove Events Remove Risk
article thumbnail

How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 73
article thumbnail

Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The solution should be scalable, cost-efficient, and straightforward to adopt and operate. Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization.

Insiders

Sign Up for our Newsletter

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

article thumbnail

What The Clover Group does to address legacy-related challenges

CIO Business Intelligence

“But there’s still a lot of room for understanding and the creation of tailored solutions that make sense for specific industries or specific companies, which provide the right business benefits.” But costs remain a major stumbling block for many businesses, and a headache for CIOs, when it comes to cloud. It was that simple.”

article thumbnail

Accenture’s Smart Data Transition Toolkit Now Available for Cloudera Data Platform

Cloudera

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

article thumbnail

Building a vision for real-time artificial intelligence

CIO Business Intelligence

The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores. All of this needs to work cohesively in a real-time ecosystem and support the speed and scale necessary to realize the business benefits of real-time AI. It isn’t easy.

article thumbnail

Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer.

article thumbnail

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

Paired to this, it can also: Improved decision-making process: From customer relationship management, to supply chain management , to enterprise resource planning, the benefits of effective DQM can have a ripple impact on an organization’s performance. Industry-wide, the positive ROI on quality data is well understood. 1 – The people.