Showing posts from October 31, 2016

Firewall-friendly access to back-office data from any cloud

The dynamic around the Progress DataDirect Hybrid Data Pipeline is interesting. In effect, the hybrid connector can provide secure firewall access to back-office data from any cloud, independent of vendor or technology
Developers can integrate applications and data quickly, no matter where that data lives: on-site, in the cloud or both.
Progress DataDirect Hybrid Data Pipeline can also deliver firewall-friendly connectivity to relational databases such as SQL Server and Oracle, or big data platforms such as Hadoop, in real-time, without having to replicate that data to a cloud.

Simple, secure access to organizations’ cloud and on-premises data sources for hybrid cloud applications

In our ever-connected digital data-driven era, it is clear that, rigid data architectures cannot help to meet the needs of a competitive, growing digital business.
Based on this reality,Progress® DataDirect®Hybrid Data Pipeline aims to provide simple, secure access to organizations’ cloud and on-premises data sources for hybrid cloud applications, such as CRM, data management platforms or hosted analytics. 
In effect, the Progress DataDirect Hybrid Data Pipeline can provide apps with fast, scalable and secure connectivity to a wide array of on-premises and cloud data, through a universal API.

Central and Eastern Europe Big Data and Business Analytics Market Spending

Expectations and forecasts around Big Data and Business Analytics Market remain very interesting and very exciting on the fact that, worldwide revenues for big data and business analytics (BDA) will grow from $130.10 billion in 2016 to more than $203 billion in 2020, according to IDC.
In the Central and Eastern Europe (CEE) region, BDA revenues are expected to reach $2.73 billion by the end of 2016, representing an increase of 8.9% over the previous year.
I can observe that, in terms of technologies used in BDA deployments, a large portion of spending is focused on IT and business services and hardware (servers and storage), which collectively account for more than 70% of spending.
It is clear that, we are still in the early stages of deployment, and the use cases become more mature.
Among software technologies, the largest share of total spending is for end user query, reporting, and analysis tools (7.8%), followed by data warehouse management tools (6.2%). The remainder of BDA spending…

Real-time evaluation of behavioral biometric indicators

Biometric technologies are now at the heart of stakes in ever-connected digital era. These technologies are bringing up peace in minds in terms of security. The new behavioral biometric analysis features of IBM Trusteer Pinpoint Detect for instance are interesting.
I can recall that, these features enable real-time risk assessment based on gesture modeling. The technology is designed to collect user behavior, detect potential device spoofing, identify access with compromised credentials, and correlates various other device attributes
In effect, through the addition of cognitive fraud detection, Trusteer Pinpoint Detect is designed to also provide real-time evaluation of behavioral biometric indicators.

Machine learning for real-time cognitive fraud detection

As an AI (Artificial Intelligence)’s technology, it is increasingly exciting to see how Machine learning is transformation the Cybersecurity industry with precise and accurate data.
For instance, through cognitive analysis of the gesture models, Trusteer Pinpoint Detect from IBM can help determine when unauthorized users try to take over a bank account using stolen credentials by detecting anomalies from the real customer’s interaction with a banking website
The technology understands the context and meaning of subtle mouse movements and clicks, and uses this information to develop increasingly more accurate gesture models through machine learning.

IBM DB2 12 for z/OS Vs the DB2 Analytics Accelerator for Cloud

While IBM DB2 12 for z/OS extends the benefits of hybrid transactional analytical processing (HTAP) with advanced in-memory capabilities to deliver improvements in real-time analytic processing, the DB2 Analytics Accelerator for Cloud provides more flexibility to accelerate insights gained from their DB2 environments leveraging the IBM Cloud.

Cognitive Behavioral Biometrics from IBM can help Prevent Bank Fraud

Unfortunately, Cybercrime organizations continue to develop sophisticated malware and social engineering techniques to target financial websites and customers, typically with the goal of obtaining credentials to take over user accounts.
Based on this daunting reality, IBM focuses on a new behavioral biometric analysis capabilities in its digital banking fraud prevention technology, Trusteer Pinpoint Detect, using patented analytics and machine learning for real-time cognitive fraud detection.
I can observe that, the new behavioral biometric capabilities incorporate the use of machine learning to help understand how users interact with banking websites, creating gesture models based on patterns of mouse movements.

Speed, Scale and Simplicity with Hybrid Cloud Database

It is exciting to observe significant advances in industry leading database software. Providers are increasingly helping users to lower their operating costs.
IBM for instance is bringing together transactions and analytics in the same database to increase the speed of real-time data analysis. The new DB2 will incorporate hybrid transactional analytical processing (HTAP) available for Linux, Unix, Windows, and z/OS in December 2016.