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Tag: machine learning

AI-Powered Drug Development in a Post-COVID World

Apr 19, 2021 |

The developed world is on the cusp of turning the corner in the fight against COVID-19 thanks to the unprecedented effort to rapidly develop and distribute effective vaccines. Now technologists are hoping to take drug development to the next level, and AI will play a big role. Read more…

ML Scaling Requires Upgraded Data Management Plan

Apr 16, 2021 |

Successful data strategies are built on a foundation of meticulous data management, creating enterprise architectures that “democratize” data access and usage, yielding measurable results from machine learning platforms.

The reality, according to an examination of the emerging “AI organization,” is that few data-driven organizations are able to deliver on their data strategy. Read more…

8 Key Considerations for Embarking on a Data Integrity Journey

Apr 16, 2021 |

Modern enterprises are reliant on data, and as the volume of it increases, making that data useful is absolutely critical. However, more data also means the likelihood of incomplete, inconsistent data sets is on the rise. Read more…

Bigeye Spawns Automated Data Quality Monitoring from Uber Roots

Apr 15, 2021 |

Having high quality data is essential to having high quality analytics and accurate machine learning algorithms. But as data volumes grow, it becomes increasingly difficult to keep tabs on data quality using traditional rules-based approaches. Read more…

Cloudera, Nvidia Team to Speed Cloud AI via Spark

Apr 13, 2021 |

Cloud access to GPUs for AI development will expand under a partnership between Cloudera and Nvidia that calls for the data cloud provider to integrate Nvidia’s accelerated Apache Spark 3.0 platform as a way to scale data science workflows. Read more…

Why AI Is Failing for Enterprises: Predetermination Bias

Apr 12, 2021 |

Our best practices for managing data are ancient. Literally.

For tens of thousands of years we’ve managed the future by predetermining the resources we think we’ll need, limiting our futures to what we can foresee. Read more…

University of Washington Researchers Develop ML-Enabled Telehealth Tool

Apr 6, 2021 |

For clear reasons, telehealth has boomed during the pandemic, and its popularity remains even as vaccinations become more accessible. With this paradigm shift in treatment, some researchers are examining how to enable patients to measure more of their vitals in a home setting, decreasing the necessity of many in-person medical appointments. Read more…

Can Digital Twins Help Modernize Electric Grids?

Apr 5, 2021 |

Recent failures of electric grids in Texas and California have highlighted the difficulties that energy companies and regulators face in ensuring the delivery of reliable and affordable power while simultaneously switching to less-polluting energy sources. Read more…

Machine Learning for COVID Diagnosis Falls Short

Mar 22, 2021 |

In the earliest days of the pandemic, machine learning showed exceptional promise for COVID-19 diagnosis. Reliably, early machine learning models outperformed doctors in recognizing the telltale COVID-induced pneumonia on CT scans from hospitalized patients. Read more…

A ‘Glut’ of Innovation Spotted in Data Science and ML Platforms

Mar 22, 2021 |

These are heady days in data science and machine learning (DSML) according to Gartner, which identified a “glut” of innovation occurring in the market for DSML platforms. From established companies chasing AutoML or model governance to startups focusing on MLops or explainable AI, a plethora of vendors are simultaneously moving in all directions with their products as they seek to differentiate themselves amid a very diverse audience. Read more…

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