Data Processing, Predictive Modeling and Testing

Data Processing

Predictive Modeling

Testing

Automating the Automators: Shift Change in the Robot Factory

O'Reilly on Data

JANUARY 17, 2023

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

Machine Learning

Machine Learning Predictive Modeling Software Modeling

Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Cloudera

DECEMBER 4, 2024

To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput. The emergence of GenAI, sparked by the release of ChatGPT, has facilitated the broad availability of high-quality, open-source large language models (LLMs).

Metrics

Metrics Data Processing Machine Learning Deep Learning

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Webinars

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Data Talks, CFOs Listen: Why Analytics Is The Key To Better Spend Management

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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Trending Sources

Why you should care about debugging machine learning models

O'Reilly on Data

DECEMBER 12, 2019

Model debugging is an emergent discipline focused on finding and fixing problems in ML systems. In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Interpretable ML models and explainable ML.

Machine Learning

Machine Learning Modeling Testing Risk Management

Webinars

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Data Talks, CFOs Listen: Why Analytics Is The Key To Better Spend Management

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

MORE WEBINARS

Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

MAY 14, 2024

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. The excitement and related fears surrounding AI only reinforces the need for private clouds.

IT Data Processing Enterprise Modeling

HEMA accelerates their data governance journey with Amazon DataZone

AWS Big Data

DECEMBER 19, 2024

Each service is hosted in a dedicated AWS account and is built and maintained by a product owner and a development team, as illustrated in the following figure. This separation means changes can be tested thoroughly before being deployed to live operations. The overall structure can be represented in the following figure.

Data Governance

Data Governance Publishing Data-driven Metadata

CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

MARCH 19, 2025

Predictive modeling can help companies optimize energy consumption, while AI-driven insights can identify supply chain inefficiencies that lead to excessive waste. Hosting internal workshops and knowledge-sharing sessions can help integrate sustainability into corporate culture.

IT Data Governance Data-driven Metrics

15 best data science bootcamps for boosting your career

CIO Business Intelligence

APRIL 25, 2022

The data scientist bootcamp is a nine-month, online, part-time course that provides skills in Python and essential libraries, statistical hypothesis testing, machine learning, natural language processing, computer vision, SQL, and soft skills related to the profession. The data analyst bootcamp is a seven-month, online, part-time course.

Data Science

Data Science Machine Learning Deep Learning Statistics

Four Ways Telcos Can Realize Data-Driven Transformation

Cloudera

OCTOBER 19, 2023

Large 5G networks will host tens of millions of connected devices (somewhere in the 1,000x capacity compared to 4G), each instrumented to generate telemetry data, giving telcos the ability to model and simulate operations at a level of detail previously impossible.

Data-driven

Data-driven Data Architecture Predictive Modeling Digital Transformation

CIO 100 Award winners prove the transformative value of IT

CIO Business Intelligence

AUGUST 15, 2023

In partnership with OpenAI and Microsoft, CarMax worked to develop, test, and iterate GPT-3 natural language models aimed at achieving those results. The CarMax team also gathered, scrubbed and formatted data from thousands of vehicles to feed into the models, fine-tuning them as the project advanced.

IT Manufacturing IoT Cost-Benefit

How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

SEPTEMBER 7, 2023

Introduce advanced AI training and programs, including hands-on projects that simulate real-world financial scenarios, or mentorship programs hosted by AI experts. Offer opportunities for employees to specialize in specific AI domains, such as fraud detection or predictive analytics, tailored to the institution’s needs.

Insurance

Insurance Risk Data-driven Finance

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

An e-commerce conglomeration uses predictive analytics in its recommendation engine. An online hospitality company uses data science to ensure diversity in its hiring practices, improve search capabilities and determine host preferences, among other meaningful insights.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

DataRobot Notebooks: Enhanced Code-First Experience for Rapid AI Experimentation

DataRobot Blog

JANUARY 10, 2023

Most, if not all, machine learning (ML) models in production today were born in notebooks before they were put into production. DataRobot Notebooks is a fully hosted and managed notebooks platform with auto-scaling compute capabilities so you can focus more on the data science and less on low-level infrastructure management.

Experimentation

Experimentation Machine Learning Data Science Modeling

Best BI Tools For 2024 You Need to Know

FineReport

MARCH 31, 2024

Through meticulous testing and research, we’ve curated a list of the ten best BI tools, ensuring accessibility and efficacy for businesses of all sizes. Recognized for its versatility, Power BI excels in data transformation and visualization, incorporating advanced predictive modeling and AI-driven features.

Dashboards

Dashboards Visualization Data mining Data-driven

What to Do When AI Fails

O'Reilly on Data

MAY 18, 2020

All predictive models are wrong at times?—just As the renowned statistician George Box once quipped , “All models are wrong, but some are useful.” Broadly speaking, materiality is the product of the impact of a model error times the probability of that error occuring. just hopefully less so than humans.

Risk

Risk Modeling Data Processing Reporting

Data Science at The New York Times

Domino Data Lab

JULY 9, 2019

He advocated that an impactful ML solution does not end with Google Slides but becomes “a working API that is hosted or a GUI or some piece of working code that people can put to work” Wiggins also dove into examples of applying unsupervised, supervised, and reinforcement learning to address business problems.

Data Science

Data Science Machine Learning Advertising Modeling

What Is Embedded Analytics?

Jet Global

MAY 1, 2023

Deployment Style The greatest flexibility comes from solutions that can be easily deployed on-premise at customer sites, hosted in your data center, and made available in the cloud through such data platforms as Amazon Web Services and Microsoft Azure. Furthermore, it uses techniques that are known for scaling the implementation.

Analytics

Analytics Cost-Benefit Visualization Dashboards

Scaling AI Solutions with Cloudera: A Deep Dive into AI Inference and Solution Patterns

Cloudera

DECEMBER 9, 2024

Effortless Model Deployment with Cloudera AI Inference Cloudera AI Inference service offers a powerful, production-grade environment for deploying AI models at scale. GenAI Solution Pattern Clouderas platform provides a strong foundation for GenAI applications, supporting everything from secure hosting to end-to-end AI workflows.

Predictive Analytics

Predictive Analytics Data Processing Modeling Optimization

Data Leaders Brief

Automating the Automators: Shift Change in the Robot Factory

Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Webinars

Trending Sources

Why you should care about debugging machine learning models

Webinars

Private cloud makes its comeback, thanks to AI

HEMA accelerates their data governance journey with Amazon DataZone

CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

15 best data science bootcamps for boosting your career

Four Ways Telcos Can Realize Data-Driven Transformation

CIO 100 Award winners prove the transformative value of IT

How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Data science vs. machine learning: What’s the difference?

DataRobot Notebooks: Enhanced Code-First Experience for Rapid AI Experimentation

Best BI Tools For 2024 You Need to Know

What to Do When AI Fails

Data Science at The New York Times

What Is Embedded Analytics?

Scaling AI Solutions with Cloudera: A Deep Dive into AI Inference and Solution Patterns

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