CIO Business Intelligence

APRIL 15, 2022

In March 2016, Microsoft learned that using Twitter interactions as training data for machine learning algorithms can have dismaying results. The idea was the chatbot would assume the persona of a teen girl and interact with individuals via Twitter using a combination of machine learning and natural language processing.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Smart Data Collective

OCTOBER 17, 2022

zettabytes of data in 2020, a tenfold increase from 6.5 zettabytes in 2012. While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency.

Big Data 108

Big Data Data-driven Recreation/Entertainment Data Governance 108

O'Reilly on Data

APRIL 23, 2024

Perhaps a more direct way to say this in the context of economic value creation is that companies such as Amazon and Google and Facebook had developed a set of remarkable advances in networked and data-enabled market coordination. By the end of 2012, it was up to 82%. But over time, something went very wrong.

Advertising 274

Advertising Cost-Benefit Marketing Risk 274

Sisense

DECEMBER 11, 2019

And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI. Citing Tinder as a major example, Kyle explained how it constantly uses data to enhance users’ interactions and calibrate the user experience. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

SEPTEMBER 29, 2023

With these techniques, you can enhance the processing speed and accessibility of your XML data, enabling you to derive valuable insights with ease. Adjust the timeout (in minutes) as shown in the following screenshot and run the cell to create the AWS Glue interactive session. xml and technique2.xml.

Metadata 72

Metadata Visualization Data-driven Optimization 72