CIO Business Intelligence

JUNE 5, 2024

We were the go-to guys for any ML or predictive modeling at that time, but looking back it was very primitive.” The analytics team started shifting its operations from on-premises systems to the cloud, leveraging Apache Spark and Databricks. How do you know which version is the real one?

Optimization 125

Optimization Predictive Modeling Data-driven Modeling 125

Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 83

Insurance Risk Data-driven Finance 83

Smarten

FEBRUARY 13, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Analytics 52

Analytics Key Performance Indicator Business Intelligence ROI 52

Smarten

NOVEMBER 3, 2017

These tools should include: Self-Serve Data Preparation – Allows business users to perform Advanced Data Discovery and auto-suggests relationships, reveals the impact and importance of key factors, recommends data type casts, data quality improvements and more!

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

Smarten

DECEMBER 3, 2023

‘Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’ Why is augmented analytics an important factor in your success? So, what does all this mean to your business? The typical business will find it difficult to achieve approval for a new software solution.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Jet Global

SEPTEMBER 1, 2023

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

Jet Global

JULY 17, 2023

One of the major challenges in most business intelligence (BI) projects is data quality (or lack thereof). In fact, most project teams spend 60 to 80 percent of total project time cleaning their data—and this goes for both BI and predictive analytics.

Predictive Analytics 52

Predictive Analytics Reporting Strategy Enterprise 52

CIO Business Intelligence

DECEMBER 19, 2024

The integration of AI, particularly generative AI and large language models, further enhances the capabilities of these platforms. These technologies enable advanced analytics techniques like predictive modeling, anomaly detection, and natural language query processing.

Sales 122

Sales Analytics Key Performance Indicator Prescriptive Analytics 122

Cloudera

DECEMBER 9, 2024

Many enterprises encounter bottlenecks related to data quality, model deployment, and infrastructure requirements that hinder scaling efforts. Effortless Model Deployment with Cloudera AI Inference Cloudera AI Inference service offers a powerful, production-grade environment for deploying AI models at scale.

Predictive Analytics 74

Predictive Analytics Data Processing Modeling Optimization 74

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? This is where analytics begins to proactively impact decision-making. Its a symptom of needing one.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78