AI: Data Automation
AI is constituted as an amalgamation of a number of things tied into result in an automated outcome. There is a congregation of Neural Networks, Planning, Machine Learning, Natural Language Processing, Perception Metrics, Knowledge Consortium, Cognitive Paradigms and elemental Robotics that looks to make up for a whole diaspora of opportunities. But at the heart of it all, resides the “Data”.
Deep Learning (DL) Services
One of the important criteria among building a robust DL roadmap is to ensure that there is a large volume of data available. More data, the bigger the Data Models, and the bigger the computations. That would result in better algorithm models, newer insights discovery and improved analytic techniques for better outcomes. This is key to AI-PRIORI’s approach towards laying down a strong Deep Learning Roadmap towards AI adoption.
Our highly experienced Data Scientists are adept building custom Data Models based on CNNs, RNNs, DNNs, etc. and also able to augment analogies with tools such as Tensorflow, Keras etc. to lay down a foundational DL strategic roadmap for Data driven AI automation.
Intrinsic AI Services
As a part of making AI adoption simple we at AI-PRIORI start at thinking AI at its very granular level, getting down to the aspects of Innovative Design Thinking, Agile Data Engineering, Easy yet Feel Good User Experience, Scalable Product Development foundation, with a robust Data Architecture.
Combine this with Machine Learning attributes, we are able to develop quick turnkey cycles for Digital Assistants, ML based Data Modeling, Voice based UI, Natural Language Understanding, and Big Data Analytics.
With a modern day enterprise ecosystem, we understand the essence of Mobility and Cloud enablement, and with our Front End experts along with Infrastructure veterans skilled on Azure, AWS and Google Cloud, we are able to imbibe our Data strategy with Cloud readiness and ‘Mobile’ empowered.
Combine this with Machine Learning attributes, we are able to develop quick turnkey cycles for Digital Assistants, ML based Data Modeling, Voice based UI, Natural Language Understanding, and Big Data Analytics.
With a modern day enterprise ecosystem, we understand the essence of Mobility and Cloud enablement, and with our Front End experts along with Infrastructure veterans skilled on Azure, AWS and Google Cloud, we are able to imbibe our Data strategy with Cloud readiness and ‘Mobile’ empowered.
Conversational AI Services
Getting to designing an astute Virtual assistant needs a lot of Data Churning and Process orchestration, mapped with Business and Operational integration. Using frameworks of Microsoft, Google Dialog Flow and IBM (Watson), we are able to ensure that our Conversational AI exposure invokes a near real interactive web experience.
Using our API Engines, we are able to Set up Text Classifiers, to model content based on user defined metrics and industry norms. We then define Text Clustering APIs, to discover and garner meaningful subjects across contents by text grouping, which is similar.
Then we use extensive NLP and ML Engines, developed based on custom algorithmic data models to garner insights from structured or unstructured data and provide relevant outcome rankings. We also use deep Insights leveraging extended ML models to analyse large amounts of structured and unstructured data to get deeper Operational Insights, identify data trends, correlations and anomalies.
Using our API Engines, we are able to Set up Text Classifiers, to model content based on user defined metrics and industry norms. We then define Text Clustering APIs, to discover and garner meaningful subjects across contents by text grouping, which is similar.
Then we use extensive NLP and ML Engines, developed based on custom algorithmic data models to garner insights from structured or unstructured data and provide relevant outcome rankings. We also use deep Insights leveraging extended ML models to analyse large amounts of structured and unstructured data to get deeper Operational Insights, identify data trends, correlations and anomalies.
Cognitive AI Services
Given the advancements in the computational data models and how closely it is synced with human thought processes, machines of today can look at understanding complex scenarios and are able to generate human-like conclusions/solutions to highly complex and sometimes even ambiguous situations. With our team of Data Scientists and Data Engineers, and our technology prowess on platforms like IBM Watson, we are able to build powerful cognitive applications in the arena of expert computational systems, Industry 4.0, Complex Neural Network analogies, Robotics and Virtual Reality. Breaking down Cognitive Sciences to the 5 elementals defined by the Cognitive Computing Consortium of “Adaptive”, “Interactive”, “Iterative”, “Stateful” and “Contextual”, We at AI-PRIORI take a subtle approach towards defining Cognitive roadmaps based on “Learning”, “Perception” and “Motivational” paradigms.
Customised AI Services
In today’s automation era, through the use of Computer Vision and Robotic Process Automation techniques, a number of manual processes can be easily. Applying our customized CNN,RNN, FCN etc. data modeling techniques related to Computer Vision principles, we can look to build custom automated applications just through a stream of Photos or Videos, along the lines of "Edge Detection”, “Shape & Pattern Detection”, “Motion Detection”, "Optical Flow”, etc. Some of the use cases could be - Autonomous Surveillance, Smart Retail, Smart Manufacturing, etc.
Having worked on a number of diverse platforms including Oracle, SAP, IBM, CRMs, Cloud tech stacks, and with our data expertise, we are able to build highly scalable RPA based architectures to orchestrate and automate business processes providing intuitive and interactive UI dashboard, Defining and Segregating Complexity level tiers, Defining type of recorders, defining Logs and Exception Handling metrics, integrating with paradigms such as OCRs etc. and retrofitting with architecture with reusable data structures and elementals. Some of our classic RPA use cases include Invoice Automation, Bot Framework Automation, DevOps automation etc.
Having worked on a number of diverse platforms including Oracle, SAP, IBM, CRMs, Cloud tech stacks, and with our data expertise, we are able to build highly scalable RPA based architectures to orchestrate and automate business processes providing intuitive and interactive UI dashboard, Defining and Segregating Complexity level tiers, Defining type of recorders, defining Logs and Exception Handling metrics, integrating with paradigms such as OCRs etc. and retrofitting with architecture with reusable data structures and elementals. Some of our classic RPA use cases include Invoice Automation, Bot Framework Automation, DevOps automation etc.
AI for Infrastructure Automation: Managed Services
With a number of ready to use AI Tools, IDEs, Frameworks, and Libraries, it is possible now to orchestrate and automate a number of Infrastructure paradigms quite seamlessly today. At the Data Level, we can look to automate a number of operations in the Data Lakes, RDBMS, and NoSQL DBs. Also on the Compute side, we can look to Automate a number of operations in the Big Data tools arena such as Hadoop/Spark, automate at Containerisation levels, automate at Batch Processing Levels, automate at VM levels, and automate at Serverless infrastructure levels. Infrastructure layer is a key layer to look at setting up a continuous managed services proposition and with our onsite-offshore blend, we can help to manage some of these facets quite seamlessly at highly affordable pricing structures.
AI Ops: Managed Services
Once an AI ecosystem is built, it is imperative to sustain, optimise and continuously evolve with the AI journey. And it is for this reason having a robust AI Ops team in place is an extremely crucial component to consider to ensure a long term AI sustainability.
We at AI-PRIORI, understand the nuances of an AI journey and have a very strong precedence in place to support critical AI Ops delivery. With our onsite-offshore blend, we can help to manage some of these facets of AI Ops Cycles, quite seamlessly at highly affordable pricing structures.
