01. Nick Millman, Accenture, visits #theCUBE!. (00:17)
02. Trends Among the Accenture Client in Big Data. (00:46)
03. The Role of Data Scientists at Accenture. (02:01)
04. Business Transitioning to Comprehensive Big Data Use. (04:27)
05. Accenture Clients Approaching AI and Automation. (07:00)
06. How Accenture Differs in Delivery and Customer Integration. (08:50)
07. Common Challenges: Organization and Complex Architectures. (12:30)
08. Customer Priorities as They Move to the Cloud. (15:42)
09. Advising Customers on Choosing Clouds. (17:01)
10. The Vibe at Informatica 2016. (18:47)
11. How To Know Who's Doing it Right. (19:38)
12. An Exciting Development: The Convergence of Digital Technologies. (21:38)
Track List created with http://www.vinjavideo.com.
--- ---
Data a la carte: Productizing industry solutions | #infa16
by R. Danes | May 24, 2016
We are past the hype stage in Big Data, but not yet at the point where everyone who could benefit from data use is in fact benefiting. As companies try to figure out what parts of their enterprises need data analytics, they could go for broke and integrate data into the fabric of their businesses. On the other hand, they could target specific problems to see how data performs there before scaling it out.
Nick Millman, managing director of Big Data and Analytics Delivery for Europe, Africa and Latin America at Accenture, LLP, said he works with customers from both ends of the spectrum. He told John Furrier (@furrier) and Peter Burris (@plburris), cohosts of theCUBE, from the SiliconANGLE Media team, “Our approach is to provide the end-to-end service that our clients might need in the data analytics space.”
For companies that want to transform their whole business, Accenture employs a large team of data scientists to provide the groundwork, architecture and infrastructure to make a business truly data driven. The company is also taking its stores of experience working with data in specific industries and “productizing” it for specific problems, such as fraud detection in finance.
“The idea is to use the Accenture Insights Platform and make it very focused on specific industry issues and provide a rapid solution using a cloud based approach,” Millman said.
The Jetsons sooner than we thought?
Millman spoke about the use of anlaytics coupled with AI and machine learning to propel us into the future. He talked about a prototype of a robot mortgage adviser that he worked on. He said it uses natural language processing to ask questions, analyze answers, and ask follow-up questions in compliance with lending laws and regulations.
He also mentioned a Siemens factory in Germany where much of the physical work is being done by machines.
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Nick Millman, Accenture - #infa16 - #theCUBE
01. Nick Millman, Accenture, visits #theCUBE!. (00:17)
02. Trends Among the Accenture Client in Big Data. (00:46)
03. The Role of Data Scientists at Accenture. (02:01)
04. Business Transitioning to Comprehensive Big Data Use. (04:27)
05. Accenture Clients Approaching AI and Automation. (07:00)
06. How Accenture Differs in Delivery and Customer Integration. (08:50)
07. Common Challenges: Organization and Complex Architectures. (12:30)
08. Customer Priorities as They Move to the Cloud. (15:42)
09. Advising Customers on Choosing Clouds. (17:01)
10. The Vibe at Informatica 2016. (18:47)
11. How To Know Who's Doing it Right. (19:38)
12. An Exciting Development: The Convergence of Digital Technologies. (21:38)
Track List created with http://www.vinjavideo.com.
--- ---
Data a la carte: Productizing industry solutions | #infa16
by R. Danes | May 24, 2016
We are past the hype stage in Big Data, but not yet at the point where everyone who could benefit from data use is in fact benefiting. As companies try to figure out what parts of their enterprises need data analytics, they could go for broke and integrate data into the fabric of their businesses. On the other hand, they could target specific problems to see how data performs there before scaling it out.
Nick Millman, managing director of Big Data and Analytics Delivery for Europe, Africa and Latin America at Accenture, LLP, said he works with customers from both ends of the spectrum. He told John Furrier (@furrier) and Peter Burris (@plburris), cohosts of theCUBE, from the SiliconANGLE Media team, “Our approach is to provide the end-to-end service that our clients might need in the data analytics space.”
For companies that want to transform their whole business, Accenture employs a large team of data scientists to provide the groundwork, architecture and infrastructure to make a business truly data driven. The company is also taking its stores of experience working with data in specific industries and “productizing” it for specific problems, such as fraud detection in finance.
“The idea is to use the Accenture Insights Platform and make it very focused on specific industry issues and provide a rapid solution using a cloud based approach,” Millman said.
The Jetsons sooner than we thought?
Millman spoke about the use of anlaytics coupled with AI and machine learning to propel us into the future. He talked about a prototype of a robot mortgage adviser that he worked on. He said it uses natural language processing to ask questions, analyze answers, and ask follow-up questions in compliance with lending laws and regulations.
He also mentioned a Siemens factory in Germany where much of the physical work is being done by machines.
