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Showing posts from March 21, 2017

The creation of financial services apps on the IBM Cloud

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At the core of stakes, we have Cognitive, Blockchain, Analytics technologies available for faster development and deployment. The launch of the IBM Cloud for Financial Services brings up the essential building blocks for the creation of financial services apps on the IBM Cloud. Individual and enterprise developers from the financial services industry now have access to APIs, data and content to ­­­­­­­­­­­­build and monetize cognitive-enabled financial services apps quickly and at scale for FinTechs, banks, wealth management firms and insurance companies. I can recall that, initially available in beta, developers will also have the ability to build in customer insights, regulatory compliance analytics, security, privacy and compliance readiness to help reduce the time needed for development and testing. Developers and partners can access the IBM Cloud for Financial Services at https://developer.ibm.com/finance.

Blockchain is not naturally safe technology

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Many believe that, blockchain is an inherently safe technology, but blockchain networks are only as safe as the infrastructures on which they reside. IBM's blockchain services are designed to help developers create, deploy and manage blockchain networks on the IBM Cloud.

IBM Blockchain within the Blockchain industry

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At the core of stakes, we have Enterprise-Ready Blockchain Services for Hyperledger Fabric v 1.0 on IBM Cloud. IBM Blockchain, as an enterprise-ready blockchain service is based on the Linux Foundation's Hyperledger Fabric version 1.0. The service enables developers to quickly build and host security-rich production blockchain networks on the IBM Cloud. The Linux Foundation's open source Hyperledger Fabric v1.0 is being developed by members of the Hyperledger consortium alongside other open source blockchain technologies.

The development of China smart home products in 2017

Predictions from IDC are clear: Security, ecosystem-based services and the use of artificial intelligence (AI) to offer personalized experience will be among the five main trends that will dominate the development of China smart home products in 2017. The firm also announces that, energy efficiency and entertainment will be another two features that smart home product developers should add to their devices.

The real driving force for the development of the smart home

Many analysts agree on the realities and suggestions that, Smart home devices are only the medium by which the user enjoys smart home services. The real driving force for the development of the smart home will come through connecting the devices to provide users with ecosystem-based services.

Wide gap still exist between smart home technology applications and scenario-based services

I can observe that, based on its analysis of smart home devices and systems in 2016 and a few new product technologies that emerged in early 2017, IDC finds that a wide gap still exist between smart home technology applications and scenario-based services, implying that smart home product R&D should focus on future trends such as artificial intelligence (AI) to improve the functionality of the smart home.

The key to reliable home security in smart homes

It is steadily obvious that, the key to reliable home security in smart homes lies in accurate recognition, real-time notifications and provision of various auxiliary functions. Current smart monitoring systems use identity recognition, trajectory recognition, environmental judgment and compensation recognition. In the future, artificial intelligence (AI)-based image recognition technology will be vitally important to correctly interpreting images in real time.

An important reason many consumers purchase smart home systems

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Very exciting to see that, products are now working more efficiently while still meeting user expectations and offering more interactive functions. In effect, reducing energy consumption and the resulting power bill is an important reason many consumers purchase smart home systems. For example, the Ecobee3uses small wireless room sensors to control room temperature and enable smart energy saving. Honeywell’s Evo home thermostat system allows users to set different temperatures for different areas in a room.

Smart home products have already started using AI self-learning technology

Significant to note that, Smart home products have already started using AI self-learning technology to improve the user experience. For example, the latest smart bulbs from BeOn can discern patterns in user behavior and learn to automatically turn lights on or off as appropriate. These bulbs can also turn lights on when visitors ring the doorbell. They therefore meet the needs of individual families and also play a role in basic home security.

Future smart home products will form a home entertainment system

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According to IDC, In addition to security and energy efficiency, future smart home products will form a home entertainment system, with a single device allowing users to quickly and conveniently control multiple smart entertainment devices in a variety of tailored scenarios. For example, Amazon’s Echo and its mini version Echo Dot, unveiled in January at CES 2017, can connect with more than 7,000 different apps and services. This greatly enhances the entertainment options available in the smart home.

Open ecosystems essential to connecting smart home products and services

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Lack of streamlined compatibility and standards is curbing the smart home industry.Smart home devices, such as the BeOn smart bulbs and the Scout Home Security System, still cannot connect with multiple platforms. For those who are unfamiliar, Smart home ecosystems provide convenient and simple products and services that meet user needs in different situations. Therefore, improving compatibility between different smart home products is the foundation for connectivity, while establishing open platforms is the key to expanding smart home ecosystems. Amazon and Google are working towards open smart ecosystem platforms. “Enterprises should be open to creating devices that can connect with other products, gather data from diverse sources, and harness the power of artificial intelligence (AI) so as to enrich the services provided by their smart home devices and advance the development of the smart home,” said Jin Di, Research Manager at IDC China.