How Enterprise Apps Will Impact smartphones

Intelligent apps are those that use real time and historical data from various sources to create general recommendations and suggestions, providing personalized and adaptable user experiences across all platforms and devices. The new wave of mobile apps will most likely be the product of many worlds colliding: from extensive research into user behavior and profiles, to leveraging massive data sets gathered around the world, to forming alliances with a wide range of third party software and device manufacturers. And this new dawn of truly intelligent mobile apps is quickly approaching its tipping point: devices that can personalize their own experiences will allow users to tap into a wealth of information from any place and at any time. The best examples of this will come from companies like Socrati, who are combining scientific research and industry know-how with their own expertise in product design and mobile app development.

Socrati is currently leveraging its experience in the fast growing smartphone market to position themselves as an expert in the emerging field of intelligent apps. As part of their strategy, Socrati has developed a number of specific reference technologies for use cases that are currently being explored by software developers and device manufactures. These reference technologies enable software developers and engineers to leverage established technical data sources as well as apply it to real-world business scenarios. This approach, which leverages multiple scientific research and statistical methods as well as Machine Learning techniques, makes Socrati’s reference technologies a highly useful source of information for machine learning developers and manufacturers.

The Socrati team includes researchers from Carnegie Mellon University, the University of London, Facebook and Vrii – an artificial intelligence research center based in Silicon Valley. Carnegie Mellon University’s Human-Computer Interaction Engineering group has long been researching problems in user behavior control. Facebook’s research arm is also heavily involved in creating applications and games that will run on mobile devices. Vrii is a developer platform based in Silicon Valley and has developed its own proprietary data source which is ideal for use cases such as smart and artificial intelligence driven consumer devices.

Building on this background, Socrata has developed several key technologies to help developers address a variety of business challenges. The first two uses of its Artificial Intelligence Engine to facilitate intelligent applications are its Domain Specific Knowledge (DSK) and its Knowledge Base. Domain Specific Knowledge refers to the general capabilities and data sources of an application, while Knowledge Base is a more specialized database used to support advanced task oriented applications. Both are designed to give organizations the ability to leverage large sets of structured data and apply it to a variety of business scenarios.

Another use for Socrata’s Artificial Intelligence Engine is to leverage its data sources to support business decisions. In its Knowledge Base, it stores multiple types of business information such as customer profiles, technical specifications, and product catalogues so that it can be accessed easily by business users and developers. Through its Dansk Connectivity, it can also provide users with highly relevant and valuable insights from its massive database of data. Dansk Connectivity also lets developers access its internal data which is important for understanding the organization’s strategic decisions. By combining these two powerful technologies, Socrata has created the potential for enterprise-class apps that provide valuable insights and can automatically optimize business processes.

Another way in which Socrata’s Artificial Intelligence engine can be applied is through its Contextual Latent Semantic Research (CLR). This is comprised of several core technologies such as the previously mentioned Knowledge Base and its Dansk Connectivity. The aim of Contextual Latent Semantic Research is to support advanced task oriented applications that provide organizations with the ability to understand and respond to a wide range of business scenarios. In doing so, it allows for predictive analysis of customer interactions with a company’s products and services. These can be leveraged by businesses to form a foundation for richer, more personalized experiences for their customers.

As businesses develop more complicated apps, they will need to further utilize the power of contextual relevance and artificial intelligence. This can help them create more personalized user experience that can reduce costs and increase profits. This is because it enables businesses to make better use of their existing resources and leverage the collective intelligence of their user community. By creating personalized experiences, businesses are able to design apps that solve problems and provide users with the best user experience. With artificial intelligence as a powerful platform for providing insight into these issues, Socrata can make it easier for businesses to provide a better browsing experience, engaging and informative content, and a more personalized user experience.

As organizations move forward and focus on ensuring their businesses have the tools they need to compete in today’s marketplace, they need to ensure that they have the most comprehensive platform available. Socrata’s offering includes enterprise-class technology that helps companies address current and future needs, while preparing for the next generation of mobile enterprise applications. It provides businesses with the ability to create the most relevant, engaging and easy-to-use mobile apps to take advantage of the real-time opportunities presented by smartphones. Organizations that invest in Socrata’s i-Apps platform can expect to improve productivity, reduce costs and increase their ability to stay ahead of the competition.