Data and processing power, together with the data-mining abilities of AI, gives the healthcare industry a new magnitude of medical insights. One method is predictive modeling - a statistical technique using past behavior to predict future outcomes.
Self-driving trucking is following a parallel track to autonomous passenger vehicles. Powerful computers process every data point on that simulated map of the environment. AI algorithms are key, representing some of the most prized intellectual property owned by autonomous trucking companies.
DataOps is agile, incremental, and continuously learns. DataOps should be aligned with clearly stated business outcomes that align with previously stated business mission and objectives. Here are our 12 rules of DataOps.
The first-ever image of a supermassive black hole needed approximately 4.5 petabytes of astronomy data. Researchers connected a series of highly-sophisticated telescopes around the world to create one virtual, Earth-sized telescope.
By Jason D. Batt Recently, I attended the 70th International Astronautical Congress (IAC)— an event that brought commercial, non-profit, and governmental efforts together to focus on space data, exploration, and technologies. In alignment with the 50th anniversary of the lunar landing mission, the 70th IAC was hosted this past October in Washington, D.C. With a reminder that we first ambitiously reached the moon fifty years ago, the Vice President of the United States kicked off the week with a reaffirmation of America’s commitment to return to the moon by 2024 – with the first woman to step foot (and the...
* Guest post by the Western Digital team (Digital Analytics Office, Strategic Applications, and Logistics Center of Excellence) Global supply chains are reaching new levels of scale and complexity, with customer requirements rapidly evolving. This makes a one-size-fits-all fulfillment model at best, inefficient, and at worst, downright confusing. Instead, we saw an opportunity to take advantage of our end-to-end visibility, connected enterprise systems, and data modeling to create a customer-centric, micro supply chain. Using data science techniques along with a rich set of historical supply chain data, we created a machine learning feedback loop to help automate supply chain modeling....
What does the future of autonomous vehicles truly look like? While no one can predict the future, we turned to three industry experts steeped in the data and technology around autonomous vehicles to understand the trends they’re seeing in the industry today — and the implications for the future.
Disappearances of plant species are part of a global trend: A decrease in plant and animal biodiversity. Biodiversity is a critical component of the survival of any ecosystem. The growing availability of data storage and increasingly sophisticated machine learning techniques might be able to help.