intelligence from large data

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By: FICO EMEA     Published Date: Jan 25, 2019
Communications service providers (CSPs) have long recognized the potential of data analytics. Yet their early efforts to pull actionable intelligence from the oceans of data they have access to were largely unsuccessful. Many tried a 'big bang' approach to building a central repository without knowing what they wanted to do with the data in it. The arrival of artificial intelligence (AI) its machine learning subset in particular has changed their thinking and approach. For this Quick Insights report, we surveyed 64 professionals from CSPs around the world who are applying, leveraging and/ or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle.
Tags : analytics, artificial intelligence, customer lifecycle, insights, telecom credit lifecycle, customer acquisition, optimisation
     FICO EMEA
By: Symantec     Published Date: Nov 21, 2014
The monthly intelligence report, provides the latest analysis of cyber security threats, trends, and insights from the Symantec intelligence team concerning malware, spam, and other potentially harmful business risks. Key Findings The .doc file type was the most common attachment type used in spear-phishing attacks, making up more than 52.9 percent of all attachments in September. The largest data breach reported in September actually took place in April, and resulted in the exposure of 56 million identities. There were 600 vulnerabilities disclosed in the month of September, the highest number so far in 2014 and second-highest in the last 12 months.
Tags : cyber security threats, harmful business risks, malware, spam, intelligence team, security
     Symantec
By: Pure Storage     Published Date: Jul 03, 2019
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to analyze and action data using artificial intelligence (AI). Financial services companies can greatly benefit from this leap forward in technology that enables unique insights into all aspects of the industry. With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists now have the ability to tackle complex problems and find credible and profitable solutions.
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     Pure Storage
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