AI consulting services have been instrumental in maximizing value from the cloud and data. The cloud provided access to “unlimited” computing power on tap. This led to rapid access to huge volumes of data. AI has proven instrumental in deriving insight from cloud based data with systems that learn from data to reinvent workflows and improve outcomes. The idea is to make smarter, faster decisions and drive transformation and growth.
DigitalNext AI consulting services are helping enterprises operationalize and scale AI to realize full business benefits from the technology and accelerate digital transformation.
Step up control through intelligent infrastructure
Physical objects have been acquiring digital intelligence With the IoT, intelligence has become the connectivity layer that bridges the physical and digital worlds. AI and the IoT have come together to provide valuable leverage by automating processes and enabling digitally powered machines that increase our insight and power over the physical world.
Through automation, work activities are changing, employee productivity is getting a boost, and performance is rising.
Unleash the power of AI assisted services
Human actors have been freed from routine conversations with customers with chatbots becoming the front end of the enterprise with “near human” capabilities.
Continuously improve with AI algorithms
By correlating behavior with data, smart apps are delivering user experiences that are underpinned by intimacy and insight about the user.
Weave in automation to speed up processes
AI helps glean insights from semi-structured and unstructured data in text, scanned documents, webpages, and PDFs. By converting the data to a structured form for RPA to understand, AI delivers value.
DigitalNext Services
DigitalNext AI Consulting Services will provide access to skilled AI consulting professionals who will leverage their experience and expertise to harness AI technologies and unlock data in the cloud to drive transformation in the enterprise.
Use Case Definition
Analyzing and defining the AI use case for alignment with broader industry and business needs and impact across organization.
Data Preparation
Auditing and verifying data with associated workflows and digital infrastructure. Includes data cleaning, integrity, and data maintenance.
Model Development
Optimizing ML models for enterprise AI: data labeling, clustering, model testing and fine-tuning, and deployment and integration.
AI Infrastructure Setup
Setting up resilient cloud-based infrastructures for deploying and running AI systems for model training, pipeline mgt.
AI Software Development
Building, customizing, redesigning AI systems. Includes model integration, UI/UX, usability testing.
AI User Support
Post-deployment user training to reduce adoption barriers and maximize buy-in, along with continuous technical support.
Have a project in mind?
Talk to us to learn how we can help you bring your ideas to life while solving business problems through digital technology.