CIO Business Intelligence

MAY 23, 2022

Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. The cloud is great for experimentation when data sets are smaller and model complexity is light.

Experimentation 130

Experimentation Cost-Benefit Data Lake Data Science 130

Corinium

JUNE 6, 2019

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. It is also important to have a strong test and learn culture to encourage rapid experimentation. It is fast and slow.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

JULY 17, 2023

Currently, we have not implemented any full-fledged AI solutions, but internal discussions with the management are underway to develop dashboard solutions with data analytics. Ultimately, all our projects are driven with business and not the IT agenda, and hence need to be backed up with robust ROI calculations.

IT 92

IT Digital Transformation IoT Internet of Things 92

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

Digital Transformation 91

Digital Transformation Cost-Benefit Informatics Data mining 91

CIO Business Intelligence

APRIL 6, 2022

While enterprises invest in innovation, key challenges such as successful sustenance, ROI realization, scaling and accelerating still remain. . They are nurturing agile and elite ecosystems in an effort to outpace the competition and deliver tangible returns on the innovation investments. . Accelerate Innovation.

Experimentation 86

Experimentation Data Lake Uncertainty Enterprise 86

Corinium

APRIL 25, 2019

I’ve found many IT as well as Business leaders have a mental model of data in that it is simply part of, or belongs to, a specific database or application, and thus they falsely conclude that just procuring a tool to protect that given environment will sufficiently protect that data. In data-driven organizations, data is flowing.

Insurance 150

Insurance Risk IoT Cost-Benefit 150