Conversational interface platforms that provide high-level design models, together with execution engines, in which user and machine interact, conveniently in the user's spoken or written natural language. Robustness of the conversational models is a key differentiator of the solution, as well as the API or event models used to access, invoke and orchestrate third-party services and deliver complex outcomes.


Task specific, highly scoped machine-learning solution, with algorithms that are optimized for each application instance. Intelligent applications, that have the potential to transform the nature of work and the structure of the workplace. Analytics: used to create predictive and prescriptive analytics. For example, reports that are presented to users for further evaluation and decision making. Process: ability to use AI to improve decision making, reinvent business models and ecosystems, and improve customer experience. For example, the use of artificial intelligence to analyze documents and images that optimize services flow.


Platform that connects, manages and extracts value from objects that are integrated in use context. IoT creates “intelligent things”, which use AI and machine learning to interact in a more intelligent way with people and surroundings. These things operate semi autonomously or autonomously in an unsupervised environment for a certain amount of time, to complete a particular task. Multiple devices can work together, either independently of people or with human input. As intelligent things proliferate, we expect a swarm of collaborative intelligent things.


Supporting business cost optimization and helping enterprise leaders leverage information technology to maximize business outcomes. This may be done through increased digitalization of business processes, streamlined information delivery and the creation of new, IT-enabled business models. One positive outcome is lowering business costs in many areas, including software and hardware management.


Desktop and mobile software backed by scalable cloud, offering: serverless capabilities, a cloud-first data model capable of keeping data even when the device is offline, low-latency access to media anywhere in the world, and real-time data synchronization across all platforms. The Cloud Platform gives comprehensive solutions with emphasis on ease of use and speed – all without having to manage infrastructure.


Gamification of enterprise applications drive demand to include employee performance metrics in performance management tools. These tools enable employees to share individual or team results with management, other team members. Individual of grou achievements may be made visible to others in the organization. Virtual reality (VR) and Augmented Reality (AR) provides a computer-generated 3D environment that surrounds a user and responds to that individual’s actions in a natural way, usually through immersive head-mounted displays and head tracking. Blockchains are an application of a technology in which a list of records, or blocks, are cryptographically linked to one another via timestamps and other attributes. They are resistant to data modification since the alteration of one block requires consensus across the recorded chain or ledger. Quick deployments and restful API enables to build, test, and deploy smart contracts even faster.