Low Code, No Code

From single user to collaborative models and design platforms

As the experience shifts from the web to mobile, voice, and other forms, there is a need to integrate different strands of expertise from design, tech, and business. Today's applications demand closer collaboration between stakeholders across businesses, technologies, designs, and end users.

AI and ML drive hyperpersonalization

LCNC platforms help create integrated, omnichannel experiences across voice, mobile, and web. These platforms automatically create UI with end-to-end API and data integrations. We can now generate screens based on images leveraging AI.

Intelligent and integrated experiences enhance applications

Solving problems today involves a close collaboration of engagement, intelligence, and records systems. Multiexperience horizontal platforms like Outsystems, Mendix, and Microsoft PowerApps create seamless integrations between AI and intelligence in their LC application development strategies.

AI co-development boosts productivity

AI-based co-development is a significant trend in multiexperience horizontal platforms. Examples of critical accelerations are in areas where the experience metadata and properties are auto-filled, development suggestions and recommendations are combined with integrated development environments, and alerts are created during development stages.

Cloud provides a force multiplier for LC development

Cloud hyperscalers and market leaders invest heavily in pushing the boundaries of innovation in cognitive AI services such as vision, speech, language, and document interpretation. LCNC DPA platforms are in an ideal position to take advantage of the cloud as the enabler for the ease and speed of developing such functionalities.

Process mining and optimization

In a complex modern landscape, any end-to-end process typically spans across multiple systems, steps, and people. This is especially true in the backdrop of multiple ERPs and diverse teams. Before optimizing the end-to-end experience or delivering business efficiency outcomes, one must first understand the issues that impact the experience.

More focus on Enterprise productivity and collaboration

With hyperpersonalized experience, drag-and-drop UI build capability and ease of integration, LC platforms boost productivity by accessing data anytime, anywhere. LCNC platforms also offer LC bot build capabilities that employees can use for self-service applications.

Remote collaboration gains prominence

Enterprises rethink their ways of doing business post pandemic. While essential staff still work on site, almost 88% of the global workforce work remotely. Prior to the pandemic, only 20% worked remotely.

AI and ML find significant usage in cloud services

Analyzing massive amounts of unstructured data like images, transcripts, and recorded speeches is a top requirement for enterprises. It necessitates significant upfront investments in the compute and storage infrastructure to collect, cleanse, and tag the data for training and model building.

Enterprise-level AI shifts from fragmented to integrated and managed activities

Platforms and services that perform all the functions of a typical AI/ML implementation lifecycle help businesses move toward a more standard, managed, integrated and collaborative environment. Platforms like H2O Driverless AI, Azure ML, and Amazon SageMaker bring citizen data scientists and CSPs together.