CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

Ontotext

MARCH 7, 2024

Wikidata entries can be used to link not only named entity mentions in different languages, but also general concepts such as ‘ hospital ‘ or ‘ prize ‘, thus providing common ground for insights over content in different languages. The image above shows the word cloud of the text in this post. project.

Modeling 59

Modeling Metrics Business Intelligence Testing 59

Cloudera

FEBRUARY 3, 2021

The challenge is particularly intense because the vaccine will not be distributed en masse to all individuals, but by segments that include occupation, age, preexisting risk, and geography. . The result is a comprehensive set of granular insights to inform an agile supply chain. . Or see more about my insights at [link].

Manufacturing 103

Manufacturing Forecasting Internet of Things Risk 103

Domino Data Lab

AUGUST 8, 2019

Secondly: some key insights discussed at Sci Foo finally clicked for me—after I’d heard them presented a few times elsewhere. If the field of data science had matured for over a decade, with tens of thousands of super-smart people flooding into highly sought data science roles, how did those kind of data blunders happen en masse?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Sisense

JULY 29, 2021

COVID-19 drove many of us back into our homes and saw us spending tons of time on our phones, with Android users spending 3.5 With this cloud-based interactive platform, restaurants can “move past the PDF” and offer real-time interactive menus which are easy to update with price changes and specials.

Insurance 52

Insurance Marketing Uncertainty Reporting 52

Domino Data Lab

JULY 9, 2019

In the Rev session , “Data Science at The New York Times”, Chris Wiggins provided insights into how the Data Science group at The New York Times helped the newsroom and business be economically strong by developing and deploying ML solutions. For more insights from this session, watch the video or read through the transcript.

Data Science 112

Data Science Machine Learning Advertising Modeling 112