CIO Business Intelligence

FEBRUARY 6, 2025

But heres the question I keep asking myself: do we really need this immense power for most of our analytics? Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. In analytics, LLMs can create natural language query interfaces, allowing us to ask questions in plain English.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI).

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

BizAcuity

MARCH 31, 2022

More use-cases are being tried, tested and built everyday, the innovation in this field will not cease for the next few years. But AI platforms like TensorFlow, MS Azure and Google AI allow large sets of data to be used for training, testing, developing and deploying AI applications and algorithms. Applications of AI. AI in Marketing.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Grooper

AUGUST 19, 2019

An interview with Pranshuk Kathed, machine and deep learning enthusiast. Once we have right data, we do some descriptive analytics which tells us column’s mean, median, mode, standard deviation, variance, bias, some skewness – how the data is spread. I thought I'd bust some of the hype too, but - the hype is true.

Machine Learning 40

Machine Learning Metrics Descriptive Analytics Testing 40