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Showing posts from September 5, 2016

Simultaneous localization and mapping (SLAM) as, an ideal technology Augmented Reality (AR) applications

For those who are unfamiliar, Simultaneous localization and mapping (SLAM) is a popular and important autonomous mapping and navigation technique in mobile robotics.
In effect, originally used as eyes for NASArobots, SLAM is a technology used for creating maps of unknown environments and positioning devices with extreme accuracy. 
Oculus is one of the US-based VR companies leveraging the capabilities of this technology. 
According to Technavio, Simultaneous localization and mapping is an ideal technology for Augmented Reality (AR) as it gives a markerless experience compared to marker-based AR in which images need to be printed out.

Machine learning as a method of choice for developing software for multiple disciplines

Steadily one can observe that, Machine learning is the method of choice for developing software for disciplines like natural language processing, speech recognition, computer vision, and robot control. 
The emergence of the Machine-Learning-as-a-Service (MLaaS) model is cutting down the complexity and time required to implement machine learning. In effect, adoption level increases, especially in the small-to-medium business sector.
According to Eugenio Pasqua, Research Analyst at ABI Research, while in the past, businesses used Machine learning to tackle application-specific problems, today, it is thought to be a building block of a larger system, with many companies developing more ‘general purpose’ tools that can be leveraged across an array of different industries and use cases.

Here is how modern-organization’s data is generated in our ever-connected digital-driven world

Now, one can have a clear view on the fact, the growing volume of data generated by organizations is a major factor driving the growth of the global search and content analytics market. 
Organizational data is steadily generated from multiple sources that include enterprise applications, web-based searches, social networks, and cloud-based applications.
For those who are unfamiliar, a modern-organization produces structured as well as unstructured data. 
Structured data is derived from multiple traditional applications like enterprise resource planning and CRM tools. 
Unstructured data is derived from multiple sources including: web-based searches, social networks, and cloud-based applications.

Search and content analytics systems in our ever-connected digital world

Based on the reality that, the process of comprehending unstructured data and gaining valuable insights is a multifaceted challenge; that, the exponential growth in volume of big data is a challenge for the market, which needs to be addressed effectively, it is interesting to see that, enterprises and companies of all sizes are realizing the importance of deriving useful information from unstructured data.
Then, one can observe a steady Increase in adoption of search and content analytics in industries and use of social media data for content analysis. 
Now, the integration of content analytics applications with IT systems within an organization helps in communicating with people and other computer systems in real time. 
Search and content analytics systems provide insights and help in the interpretation of large volumes of complex data.
Content analytics systems provide a complete view of the data from all business processes and enable efficient operations by providing better forecasts. O…

IBM Spectrum Virtualize in our ever-connected world

At the core of stakes when it comes to IBM Spectrum Virtualize, we have: storage efficiency, real-time data compression, thin provisioning, and snapshotting. IBM Spectrum Virtualize also focuses on: data security, reliability and operational costs.  Then, one can observe that, the software can automatically tier, migrate data from one storage array to another, can provide secure data at rest encryption, and remotely can replicate data for disaster recovery and business continuity purposes.

The new IBM Storwize storage in our ever-connected world

Storage for cloud or cognitive applications and workloads is at the core of stakes.
Data workloads are now at the core of key IT processes and infrastructure; so that, speed, agility, security, performance and processing cost is the game-changer. 
The new IBM Storwize storage solution taps into this reality in combination with IBM Spectrum Virtualize to manage a variety of primary storage workloads, from database management systems such as SQL Server and MySQL to digital media sources that include broadcast, real-time streaming, video surveillance, and huge volumes of Internet of Things (IoT) data.