Remove Artificial Inteligence Remove Business Intelligence Remove Machine Learning
article thumbnail

Unlocking AI: Machine learning as a service

CIO

Once upon a time, the data that most businesses had to work with was mostly structured and small in size. This meant that it was relatively easy for it to be analyzed using simple business intelligence (BI) tools. All this adds up to a significant upfront investment that can be cost-prohibitive for many businesses.

article thumbnail

Social services provider uses artificial intelligence to provide genuine help

CIO

In addition, the incapacity to properly utilize advanced analytics, artificial intelligence (AI), and machine learning (ML) shut out users hoping for statistical analysis, visualization, and general data-science features. As evidence, data analysis that once took 35 days can now be completed immediately.

article thumbnail

5 Benefits intelligent document processing brings to content management

CIO

Adding metadata including classification helps enrich content and make it more searchable to fill gaps in business intelligence, and helps automatically set proper security and compliance control, reducing the organization’s risk.

article thumbnail

The AI continuum

CIO

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Downsides: Not generative; model behavior can be a black box; results can be challenging to explain. Model sizes: Uses algorithmic and statistical methods rather than neural network models. Learn more. [1]

article thumbnail

Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

article thumbnail

10 projects top of mind for IT leaders today

CIO

Artificial intelligence and machine learning Unsurprisingly, AI and machine learning top the list of initiatives CIOs expect their involvement to increase in the coming year, with 80% of respondents to the State of the CIO survey saying so. 1 priority among its respondents as well.

article thumbnail

Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. This allows us to excel in this space, and we can see some real-time ROI into those analytic solutions.”