Cloudera

OCTOBER 4, 2023

Different data streams will have different characteristics, and having a platform flexible enough to adapt, with things like flexible partitioning for example, will be essential in adapting to different source volume characteristics.

Data Warehouse 84

Data Warehouse Experimentation Cost-Benefit Dashboards 84

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. Data and AI as digital fundamentals.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

Smart Data Collective

MAY 20, 2019

Machine Learning Experience is a Must. By 2020, over 40 percent of all data science tasks will be automated. Machine learning technology and its growing capability is a huge driver of that automation.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

Decision Management Solutions

JUNE 25, 2019

I presented on Backwards Engineering – planning Machine Learning (ML) deployment in reverse. Data shows that a traditional data-first approach to analytics is not generating much value for companies and I urged the audience instead to adopt a decisions-first mindset. Robert M. DecisionsFirst indeed!

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

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 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

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. Action to take.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

datapine

JANUARY 31, 2022

It’s all about using data to get a clearer understanding of reality so that your company can make more strategically sound decisions (instead of relying only on gut instinct or corporate inertia). Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataRobot Blog

SEPTEMBER 22, 2022

Leading French organizations are recognizing the power of AI to accelerate the impact of data science. Next week, we’re excited to partner with industry leaders at Big Data & AI Paris, alongside a launch of a dedicated French language microsite. Why and How to Leverage Data Science at CPAM Loire Atlantique ?

Big Data 52

Big Data Insurance Experimentation Data Science 52