“It’s clear that business domain experts – those with the business knowledge to identify essential challenges and opportunities – are in critical need of access to these tools. The problem? They don’t have the technical expertise. In other words, they can’t code.
Gartner describes the citizen data scientist as a person whose job function lies outside the statistics and analytics, but can still generate machine learning models with advanced diagnostic analytics or predictive and prescriptive capabilities.
Azure Machine Learning designer is the real game-changer. It is an innovative drag-and-drop visual interface that lets any user create and deploy machine learning models – no coding required.”
“The companies said Monday that they will build a hardware and software platform of “unprecedented scale” within Microsoft’s cloud service provider Azure that will train and run increasingly advanced AI models. Microsoft will also become OpenAI’s preferred partner for selling its technologies and the two will jointly develop Azure’s supercomputing technology. ”
“Microsoft today announced three new services that all aim to simplify the process of machine learning.
The new interface for Azure’s automated machine learning tool makes creating a model as easy as importing a data set and then telling the service which value to predict.
For those who want a bit more control from the get-go, Microsoft also today launched into preview a visual interface for its Azure Machine Learning service that will allow developers to build, train and deploy machine learning models without having to touch any code.
The new hosted notebooks in Azure Machine Learning are clearly geared toward the more experienced machine learning practitioner.”
“Data suggests that artificial intelligence was put to work in a cybersecurity capacity more than in any other area of service last year. With the use of deep learning algorithms, AI is leading the charge on a secure internet.
Specifically in detecting and deterring security intrusions, with 44 percent of all AI applications being used for that purpose.
Azure Sentinel, Microsoft’s cloud-based SIEM (security information and event management) tool is one such example of an artificial intelligence that doesn’t just automate security operations tasks but uses algorithms to learn from its actions. Like any AI, the more data it receives, the more accurate its decisions are in identifying threats and responding to them.”
“TD Bank Group (TD) will use Microsoft Azure as the cloud foundation to provide its technology and design teams with tools designed for efficient access to data and artificial intelligence (AI) resources.
“Every financial services company today has an incredible opportunity to apply advances in cloud and AI to redefine every aspect of their business,” says Satya Nadella, CEO of Microsoft.
By moving the solution to Microsoft Azure, the business now has faster access to high-performance analytics, which allows the bank to respond rapidly to client pricing requests.”