Day: March 29, 2020
AI Weekly: Coronavirus prompts call to service for ML talent
On Thursday afternoon, the United States became the country with the greatest number of known COVID-19 cases in the world. With millions out of work and the spread of the virus taking its toll, it’s easy to feel overwhelmed and in anguish without ever getting off the couch. Inadequately supplied frontline healthcare workers are the…
In artificial intelligence, enterprises still not minding their data
Data is the raw material that fuels artificial intelligence and machine learning initiatives, but it actually can’t be that raw. It needs to be as accurate, timely and well-vetted as possible — or else AI will deliver erroneous or biased results. At this stage, most enterprises haven’t quite locked down the viability of the data…
Google Announces Cloud AI Platform Pipelines to Simplify Machine Learning Development – InfoQ.com
In a recent blog post, Google announced the beta of Cloud AI Platform Pipelines, which provides users with a way to deploy robust, repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility. With Cloud AI Pipelines, Google can help organizations adopt the practice of Machine Learning Operations, also known as MLOps –…
When Artificial Intelligence Meets Big Data – Analytics Insight
“Gone are the days of data engineers manually copying data around again and again, delivering datasets weeks after a data scientist requests it”-these are Steven Mih’s words about the revolution that artificial intelligence is bringing about, in the scary world of big data. By the time the term “big data” was coined, data had already…
AI Weekly: Coronavirus prompts call to service for ML talent
On Thursday afternoon, the United States became the country with the greatest number of known COVID-19 cases in the world. With millions out of work and the spread of the virus taking its toll, it’s easy to feel overwhelmed and in anguish without ever getting off the couch. Inadequately supplied frontline healthcare workers are the…
In artificial intelligence, enterprises still not minding their data
Data is the raw material that fuels artificial intelligence and machine learning initiatives, but it actually can’t be that raw. It needs to be as accurate, timely and well-vetted as possible — or else AI will deliver erroneous or biased results. At this stage, most enterprises haven’t quite locked down the viability of the data…