摘要： Automation is now being applied to all sorts of white-collar tasks. AI is the ‘intelligent’ piece that helps drive more value, but not in all circumstances.
摘要： In such cases, FbProphet is your savior; easy, fast and gives good performance. If you know how FbProphet works, you can use it well to fit your time-series data.
摘要： The area of Artificial Intelligence and Data Science is massive. To understand between Artificial Intelligence and Data Science, often there is a lot of confusion. In this article, we’ve summarized the relationship between these technologies. But first, let’s take a look at what both of them stand for.
摘要： Rendezvous Architecture helps you run and choose outputs from a Champion model and many Challenger models running in parallel without many overheads. The original approach works well for smaller data sets, so how can this idea adapt to big data pipelines?
摘要： Data analysts are dealing with bigger datasets than ever before, making interrogation difficult. Visualized Exploratory Data Analysis, supported by advanced parallel computing, promises an answer.
摘要： Artificial Intelligence may possibly be the single most misunderstood concept in contemporary data management. Most organizations are unclear about the relationship of AI to machine learning (they’re far from synonyms) and distinctions between supervised and unsupervised learning (which has nothing to do with monitoring results or human-in-the-loop).
摘要： When Salesforce acquired Slack at the end of last year for almost $28 billion, you had to figure they had some big plans for the company. Today the CRM giant announced some initial integrations that should prove useful for Salesforce customers.
