Showing posts from December 15, 2015

Global Video Surveillance Market: image encryption, wireless networks, analog to IP cameras

Beyond saturation clues observed in North America, overall, it is clear that, the increasing demand for wireless network infrastructure is one of the key growth drivers for this market.
The shift from analog to IP cameras is boosting the market growth as the total cost of operation of IP cameras is much lower than analog cameras. IP cameras are more flexible, scalable, and can be easily installed when compared to analog cameras. can also indicate that, IP cameras have built-in servers or encoders that can help in image encryption and provide multi-level user access control, which prevents third-party manipulation. 
According to Research and Markets, the intense competition and the declining profit margins constitute significant risk factors for the vendors in this market. In fact, the market consolidation is growing: small entities are acquired by or merged with major players. 
The rapidly changing technological environment is billed as a major challenge for the global …

The future of big data and the importance of the new enterprise data lake reference architecture

Data is now our critical asset that requires great and streamlined foundation. In fact, data-centric enterprises including internet companies, government agencies, telecos, finance, health industry, and others should understand that, henceforth building a data lake requires thinking about the capabilities needed in the system.
It is also indispensable to recall that, just as data integration is the foundation of the data warehouse, an end-to-end data processing capability is the core of the data lake.
Data-centric companies should master what is important when building a modern, multi-use data infrastructure, the difference between a Hadoop application vs. data lake infrastructure and the new enterprise data lake reference architecture.

Artificial Intelligence (AI) within the e-commerce industry

In our connected world, everyone deserves friendly, intuitive and personalized interactive experience anywhere and anytime. Thanks to the Machine Learning and Artificial Intelligence (AI) capabilities, henceforth each experience is fair and available at the right time. The e-commerce industry, namely inter alia online retailers are more and more awash in structured and unstructured data.
Cognitive technologies based on Machine Learning and Artificial Intelligence (AI) capabilities turn this data into meaningful and business insights that can make the shopping experience more intuitive, informed and enjoyable.
In fact, cognitive technologies can: redefine how brands connect and engage customers; OfferPersonalized Product Recommendations Based on Natural Conversation and Cognitive Data;create a more engaging, personalized and relevant shopping experience.