Offerings and Solutions / Accelerators

FabricSync

Fabric Sync helps organizations become data-driven and AI-enabled by reviewing their current data setup, identifying gaps, and building a strong data fabric using technologies like Microsoft Fabric, Google Cloud Dataplex, or Snowflake. We also establish governance frameworks to ensure data security and compliance.

Gen AI Elevate

We identify key use cases through workshops, develop a proof of concept (PoC) aligned with business goals, and refine it based on feedback. This step-by-step approach ensures the AI solution is practical and fully integrated into the client’s operations, driving continuous improvement

CodeShift

DataAIT’s CodeShift is designed to facilitate the modernisation of legacy systems. This solution seamlessly converts outdated code into modern languages and frameworks, with the added advantage of generating comprehensive documentation using Generative AI capabilities.

Govern 360

Govern 360 provides a tailored approach to data governance, starting with an assessment to identify areas for improvement. We develop a strategy aligned with client goals, establish governance frameworks, and implement data management tools. We also assign stewardship roles and offer ongoing support to ensure compliance and enhance decision-making and efficiency

IntelliNotes

IntelliNotes is a secure, AI-driven platform that streamlines data processing and retrieval. It uses advanced Large Language Models (LLMs) to manage unstructured PDFs, semi-structured, and structured data within a secure cloud. With dynamic indexing and role-based access, it ensures only authorized users can access sensitive information. Its voice handover feature lets users create or update reports via voice memos, saving time, reducing costs, and overcoming language barriers.

Data & Analytics

Managed Services

A complete range of services across data platforms, data-warehouses and hadoop platforms with full accountability and ongoing support models.

Data Strategy

Tailored roadmap to realise the full potential of enterprise data, turning organisations into data driven businesses.

Big Data

Design and build modern data platforms on cloud (AWS, Azure, GCP) & hybrid architecture

Data Governance

Increase security and integrity of data across the organisation and automate data operations adopting right data governance practices.

Data Engineering

Design and build the data pipelines to ensure availability of data through Data Engineering capabilities

Data Warehouse

With the right design and build aggregate all your business critical operational data to feed into your business intelligence use cases.

Data Quality

A data quality framework across the organisation to improve data quality and confidence on the insights generated from data.

Data Integration

Integrate data across the organisation to remove data silos for batch & real time streaming use cases.

Visualisation and BI

Make your data speak with intuitive dashboards from market leaders enabling you to interpret data and gather insights.

Artificial Intelligence

AI Roadmap

Define and deliver a tailored roadmap for organisations of all maturity levels in AI adoption, to successfully achieve AI enabled business outcome.

Data Science

Use scientific methods, processes, algorithms and systems to generate actionable insights( Descriptive, Predictive and Prescriptive) from noisy, structured and unstructured data

ML Ops

Help you to deploy and maintain machine learning models in production reliably and efficiently.

Data Mining

Discover usable information from array of datasets, otherwise obscure or unknown and using it to unearth and uncovered patterns.

Text Mining

Use natural language processing and text mining techniques for detecting positive or negative sentiment in text, social media response to brand, workforce engagement metrics, etc.

NLP

Use natural language processing techniques to analyse huge volumes of natural language data to uncover insights and identify patterns.

Feature Engineering

Help you to select and transform the most relevant variables from raw data when creating a predictive model using machine learning.

Machine Learning

Leverage various algorithms to support use cases like, predict and prevent customer churn, build customer segments or cohorts based on behaviour, allowing to provide them with personalised services, etc.

Cloud Adoption

Multi cloud data strategy

Multi cloud strategy for Optimized ROI, Superior Security, Low Latency, Autonomy and being less disaster prone.

On prem to cloud migration

Move digital assets like data from on premise to cloud.

Workload migration to cloud

Reduce cost of fixed capacity infrastructure, take advantage of a pay-per-use cost model, cloud-native services, high scalability etc.

Serverless functions

Go stateless, server-side functions that are event-driven, scalable, and fully managed by cloud providers.

Cloud to cloud migration

Roadmap and plan for cloud to cloud migration.

Native cloud Microservices

Embrace rapid change, large scale, and resilience with native cloud microservices.

Cloud Datawarehouse

Migrate your on-premise data-warehouse on to cloud or set up a new data-warehouse on cloud.

Containerisation

Create and deploy applications faster and more securely.

Alliances ecosystem