DataRobot

JANUARY 20, 2022

A financial squeeze on healthcare, post-pandemic, is widely regarded as inevitable, and as the NHS recovers, it will need to achieve increased efficiency savings through clinical and operational process redesign and optimization. Public sector data sharing. Grasping the digital opportunity.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. Simplify, and where possible, automate governance. Customer complaints are costly!

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

Cloudera

NOVEMBER 18, 2020

It serves the needs of consumers and businesses across an entire suite of products and services including mobile, fixed, broadband, data connectivity, Internet, and managed services. To optimize investments, effectively bundle product offerings, and deliver contextual campaigns, Globe Telecom created a new analytical environment.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

AWS Big Data

OCTOBER 23, 2024

Similarly, relying on dedicated teams to create data extracts or insights for downstream consumers introduces bottlenecks, stifles innovation, and increases the time-to-market. Near real-time analytics in addition to predictive models have become standard fare, significantly reducing the time to actionable insights.

Data Warehouse 111

Data Warehouse Cost-Benefit Data Lake Data-driven 111

AWS Big Data

SEPTEMBER 13, 2024

Finally, CFM uses an AWS Graviton architecture to optimize even more cost and performance (as highlighted in the screenshot below). Resulting datasets are then published to our data mesh service across our organization to allow our scientists to work on prediction models. The interface is tailor-made for our work habits.

Interactive 109

Interactive Strategy Cost-Benefit Data Governance 109

Cloudera

APRIL 27, 2021

All of these businesses are awash with data. They are using that data to optimize operations, troubleshoot operational and customer problems, and understand as much as they can about their customers’ consumption, buying patterns and preferences. It’s all in the data! Can they interpret what they’re seeing?

Recreation/Entertainment 69

Recreation/Entertainment Advertising IoT Predictive Modeling 69

AWS Big Data

MARCH 7, 2023

Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. They should also provide optimal performance with low or no tuning. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making. This results in optimized resource utilization and cost efficiencies while enhancing overall productivity.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Alation

MAY 2, 2023

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. The more data fed into an algorithm, the more accurate the outcome.

Data Analytics 52

Data Analytics Analytics ROI Data-driven 52

Smarten

SEPTEMBER 9, 2024

Services Choose an IT consultant that can help you plan and implement your Citizen Data Scientist initiative with workshops, webinars, and other resources designed to jump start data democratization, help you achieve appropriate data governance and do it all with minimal training and time investment.

IT 52

IT Consulting KPI Data Science 52

AWS Big Data

JULY 28, 2023

Considerations Note the following considerations: The Data Catalog auto-mount provides ease of use to analysts or database users. The security setup (setting up the permissions model or data governance) is owned by account and database administrators.

Data Lake 94

Data Lake Data Governance Data Warehouse Data-driven 94

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Data-driven Modeling 59

FineReport

APRIL 9, 2024

Optimized Operational Efficiency: These tools streamline processes and resource allocation, leading to cost savings and improved resource utilization. Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

FineReport

JUNE 7, 2024

Criteria for Top Data Visualization Companies Innovation and Technology Cutting-edge technology lies at the core of top data visualization companies. Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

Cloudera

FEBRUARY 16, 2022

By logging the performance of every combination of search parameters within an experiment, we can choose the optimal set of parameters when building a model. This might require making batch and individual predictions. CML supports model prediction in either batch mode or via a RESTful API for individual model predictions.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Alation

MAY 2, 2023

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. The more data fed into an algorithm, the more accurate the outcome.

Data Analytics 40

Data Analytics Analytics ROI Data-driven 40

Smarten

SEPTEMBER 9, 2024

Services Choose an IT consultant that can help you plan and implement your Citizen Data Scientist initiative with workshops, webinars, and other resources designed to jump start data democratization, help you achieve appropriate data governance and do it all with minimal training and time investment.

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

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

DataKitchen

NOVEMBER 27, 2024

This iterative process demands time, effort, and team collaboration, which can strain resources, especially in organizations with limited data governance capabilities. This approach allows enterprises to hold data suppliers accountable or optimize their ingestion processes to ensure higher data integrity.

Data Quality 216

Data Quality Dashboards Metrics Cost-Benefit 216

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? Think of the next-best-offer algorithms in e-commerce, dynamic hospitality pricing or logistics route optimization.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78