Tag: modeling
Jul 10, 2020 |
If you’re in the market for analytics or machine learning software, you may want to keep your eyes on Altair Engineering. Best known for its product simulation and computer aided engineering software, Altair has quietly assembled an impressive big data platform that extends from data preparation and business intelligence to streaming analytics and AutoML. Read more…
Apr 23, 2020 |
Hospitals have been re-allocating resources and delaying elective surgeries in anticipation of a surge in COVID-19 patients over the past month. That surge didn’t materialize in most locations, and now, as the number of COVID-19 patients nationally begins to peak, hospitals are turning to advanced analytics to help them model their re-opening. Read more…
Mar 27, 2019 |
Basketball, like all sports these days, is getting more data-driven all the time. Teams are looking to data to tell them where to play, what to shoot, and who to double-team in the hopes of eking out a competitive edge. Read more…
Jun 25, 2018 |
Building high-quality artificial intelligence (AI) is hard work. It’s a specialized discipline that historically has required highly skilled specialists, aka data scientists.
Any time you require some highly skilled, highly paid practitioner to accomplish something of value, you’ve introduced a bottleneck into that process. Read more…
May 9, 2018 |
Artificial intelligence (AI) and machine learning are transforming the global economy, and companies that are quick to adopt these technologies will take $1.2 trillion from those who don’t. Businesses that fail to take advantage of predictive analytics, or don’t have the time or resources – like highly-trained (and expensive) data scientists – will fall behind organizations that embrace AI and machine learning to extract business value from their data. Read more…
Feb 21, 2018 |
A startup named ParallelM today unveiled new software aimed at alleviating data scientists from the burden of manually deploying, monitoring, and managing machine learning pipelines in production.
Dubbed MLOps, ParallelM‘s software helps to automate many of the operational tasks required to turn a machine learning model from a promising piece of code running nn Spark, Flink, TensorFlow, or PyTorch processing engines into a secure, governed, and production-ready machine learning system. Read more…
Oct 12, 2017 |
Cloud services rivals Amazon Web Services and Microsoft are collaborating on a deep learning library designed to accelerate development of models used to construct neural networks.
The open source project dubbed “Gluon” Read more…
May 22, 2017 |
Next week marks the start of a hurricane season that weather experts predict will generate an above-average number of tropical storms. While there’s no stopping a hurricane, data scientists with The Weather Company hope to give those in the path of a big storm more accurate predictions of damage so they can better prepare. Read more…
Jan 26, 2017 |
The big data paradigm has changed how we make decisions. Armed with sophisticated machine learning and deep learning algorithms that can identify correlations hidden within huge data sets, big data has given us a powerful new tool to predict the future with uncanny accuracy and disrupt entire industries. Read more…
Oct 21, 2011 |The main nanotechnology initiative in the United States is stressing the role of big data in the future of nano-research, noting that predictive analytics and new computational methods are key priorities going forward. Read more…
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