Cloudera

OCTOBER 4, 2023

On top of these core critical capabilities, we also need the following: Petabyte and larger scalability — particularly valuable in predictive analytics use cases where high granularity and deep histories are essential to training AI models to greater precision.

Data Warehouse 87

Data Warehouse Experimentation Cost-Benefit Dashboards 87

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. The exam consists of 40 questions and the candidate has 120 minutes to complete it.

Big Data 121

Big Data Data Analytics Analytics Predictive Modeling 121

Smart Data Collective

JULY 9, 2023

Optimizing Conversion Rates with Data-Driven Strategies A/B Testing and Experimentation for Conversion Rate Optimization A/B testing is essential for discovering which version of your website’s elements are most effective in driving conversions. Experimentation is the key to finding the highest-yielding version of your website elements.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

OCTOBER 4, 2022

Business leaders, recognizing the importance of elevated customer experiences, are looking to the CIO and their IT teams to help harness the power of data, predictive analytics, and cloud resources to create more engaging, seamless experiences for customers. A big barrier to change is fear,” says McLemore.

Data-driven 90

Data-driven Machine Learning Interactive Predictive Analytics 90

CIO Business Intelligence

OCTOBER 1, 2022

P&G is also piloting the use of IIoT, advanced algorithms, machine learning (ML), and predictive analytics to improve manufacturing efficiencies in the production of paper towels. P&G can now better predict finished paper towel sheet lengths. Smart manufacturing at scale is a challenge.

Manufacturing 142

Manufacturing Digital Transformation IoT Internet of Things 142

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

DataRobot Blog

SEPTEMBER 22, 2022

After a successful Proof of Value, French insurance giant Matmut was able to automate its manual predictive analytics process using DataRobot AI Cloud. Join Christophe Quemeneur, Assistant Director, CPAM de Loire-Atlantique on Tuesday, Sept 27th 16:10-16:35 in Conference room 2 to learn more.

Big Data 52

Big Data Insurance Experimentation Data Science 52

DataRobot

JANUARY 20, 2022

. — Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

Smart Data Collective

MAY 20, 2019

Machine Learning Experience is a Must. Machine learning technology and its growing capability is a huge driver of that automation. It’s for good reason too because automation and powerful machine learning tools can help extract insights that would otherwise be difficult to find even by skilled analysts.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

datapine

JANUARY 31, 2022

Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. 5) Find improvement opportunities through predictions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Occam's Razor

MARCH 23, 2021

Finally, few analytics teams obsess about predictive analytics in a way that allows them to dictate future action. This time around, my goal was for the analytics team to chart a very different path… To solve for expansive influence, before, during, after, money is spent by the organization. Analytics on the Edge.

Analytics 131

Analytics Scorecard Strategy Testing 131

Domino Data Lab

JANUARY 24, 2019

These “automated machine learning” solutions help spread data science work by getting non-expert data scientists in to the model building process, offering drag-and-drop interfaces. In a similar vein, in 2018 Forrester split apart its “Wave” for predictive analytics products into two distinct Waves.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Corinium

APRIL 25, 2019

The areas of fastest AI innovation and adoption are around machine learning, using it for more and more use cases where there exists large volumes of data, and human beings just don’t have the bandwidth or can’t keep up with ongoing stream of transactions, events, or whatever other changes in the environment being described by that data.

Insurance 150

Insurance Risk IoT Cost-Benefit 150