Teqfocus.com

Data & AI Advisory & Accelerators | Teqfocus

AI has the ability to move your business from keeping up to setting the pace, but only when built on a solid foundation.

From data collection to enterprise-wide AI adoption, we ensure every step is purposefully aligned with your objectives, delivering measurable, meaningful results.

Your Roadmap to AI Success

Data Collection & Integration

Data Collection & Integration

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Data Quality & Cleansing

Data Quality & Cleansing

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Data Strategy Development

Data Strategy Development

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Data Infrastructure & Tools Setup

Data Infrastructure & Tools Setup

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Exploratory Data Analysis (EDA)

Exploratory Data Analysis (EDA)

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Scaling AI Across the Enterprise

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Scaling AI Across the Enterprise

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AI Governance & Ethics

AI Governance & Ethics

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AI Monitoring & Optimization

AI Monitoring & Optimization

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AI Deployment & Workflow Integration

AI Deployment & Workflow Integration

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Machine Learning Model Development

Machine Learning Model Development

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Data Collection and Integration

Data Integration Services
  • Data collection from multiple, disconnected sources.
  • Data integration from cloud platforms, on-premise systems, and external datasets.
  • Seamless data flow across diverse environments for enhanced insights.
Data Pipelines Setup
  • Scalable data pipeline design for real-time data flow.
  • Implementation of robust data pipelines tailored for high-performance processing.
  • Continuous real-time data flow for immediate insights and decision-making.
Data Lake & Data Warehouse Solutions
  • Development of cloud or on-premise data lakes for centralized data storage.
  • Development of efficient data warehouses for streamlined data management.
  • Centralized, scalable solutions for optimal data storage and accessibility.

Core Technologies

Data Collection & Integration Tools : Apache Nifi, Talend, Informatica, AWS Glue, Salesforce Data Cloud, MuleSoft
,Salesforce Connect ,Data Loader, Omnistudio

Data Lakes/Warehousing : Snowflake, Google BigQuery, Amazon Redshift, Azure Data Lake
Data Pipelines : Apache Airflow, Google Dataflow, Azure Data Factory

Data Quality and Cleansing

Data Quality and Cleansing
Ensure your data is clean, accurate, and ready for analytics.
Use advanced profiling and cleansing techniques.
Data Enrichment
Supplement internal data with external datasets.
Enhance the accuracy of your analytics and AI models.
Data Quality Monitoring
Continuous monitoring of data quality.
Ensure compliance and ongoing data integrity.

Core Technologies

Data Quality Tools : Great Expectations, Talend Data Quality, Informatica, Trifacta, Apache Griffin ,Salesforce Data Cloud, Einstein Data Detect
Validation & Cleansing : Ataccama, Collibra, SAS Data Quality

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Data Quality and Cleansing

Data Quality and Cleansing
Ensure your data is clean, accurate, and ready for analytics.
Use advanced profiling and cleansing techniques.
Data Enrichment
Supplement internal data with external datasets.
Enhance the accuracy of your analytics and AI models.
Data Quality Monitoring
Continuous monitoring of data quality.
Ensure compliance and ongoing data integrity.

Core Technologies

Data Quality Tools : Great Expectations, Talend Data Quality, Informatica, Trifacta, Apache Griffin ,Salesforce Data Cloud, Einstein Data Detect
Validation & Cleansing : Ataccama, Collibra, SAS Data Quality

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Data Strategy Development

AI-Driven Data Strategy
Develop a data and AI strategy aligned with business goals.
Data Governance Frameworks
Implement data governance best practices.
Ensure compliance, security, and consistency across the organization.
KPI Definition and Metrics Analysis
Identify key business metrics to drive AI success.

Core Technologies

Data Strategy Tools : Alteryx, Databricks, Cloudera , Salesforce Einstein Analytics, Tableau CRM
Data Governanc : Collibra, Alation, Informatica, Immuta

Data Infrastructure and Tools Setup

Cloud and On-Premise Data Infrastructure

Design scalable data infrastructures for cloud or on-premise environments.

Data Warehousing
Solutions

Build high-performance data warehouses to store, process, and analyze data.

Real-time
Analytics Tools

Implement real-time analytics tools for quick responses to data changes.

Core Technologies

Cloud Infrastructure : AWS, Google Cloud Platform (GCP), Microsoft Azure ,Appexchange Solutions ,Heroku
,Salesforce Shield, Salesforce Hyperforce ,Appexchange Solutions

Data Storage : Snowflake, Google BigQuery, Azure Synapse
Analytics ML Infrastructure : Kubeflow, MLflow, AWS SageMaker

Exploratory Data Analysis (EDA)

Data Visualization and Reporting

Use advanced data visualization tools to uncover trends and insights.

Statistical Data Analysis

Apply statistical techniques for AI model development.

Key Metric Identification

Help businesses define critical metrics for AI decision-making.

Core Technologies

Cloud Infrastructure: AWS, Google Cloud Platform (GCP), Microsoft Azure
Data Visualization : Tableau, Power BI, Looker ,Einstein Discovery
EDA Tools : Python (Pandas, Matplotlib, Seaborn), R (ggplot2, Shiny)

Machine Learning Model Development

Custom Machine Learning Models
Design and develop machine learning models for predictive analytics, classification, or automation.
Model Training and Validation
Train, test, and validate models using historical and real-time data.
Advanced AI Techniques
Implement deep learning, NLP, and advanced AI methods for complex challenges.

Core Technologies

ML Model Development: TensorFlow, PyTorch, Scikit-learn, H2O.ai, AWS Sagemaker, Azure ML, Google Vertex AI ,Einstein Platform Services, Salesforce CRM Analytics
AutoML: Google AutoML, Azure AutoML, DataRobot

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AI Deployment and Workflow Integration

AI Model Deployment

Deploy machine learning models in production environments (cloud or on-premise).

AI Workflow Integration

Integrate AI insights directly into business processes for automation and efficiency.

Real-time AI Decision Systems

Implement AI systems for real-time decision-making.

Core Technologies

AI Deployment & Workflow Tools : Kubernetes, Docker, Jenkins, Apache Airflow,Salesforce Flow, Einstein Next Best Action, MuleSoft Anypoint Platform

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AI Monitoring & Optimization

AI Model Monitoring and Maintenance
Continuously monitor AI model performance to ensure reliability.
Model Retraining and Fine-Tuning
Retrain models with new data to keep them accurate and relevant.
Optimization and Feedback Loops
Use feedback loops to refine AI models and align them with business goals.

Core Technologies

Model Monitoring Tools : Arize AI, Domino Data Lab, Prometheus, Grafana ,Einstein Analytics Monitoring, Salesforce DevOps Center
Optimization Tools : Optuna, Ray Tune, SigOpt

AI Governance and Ethics

AI Governance Frameworks

Implement governance frameworks for responsible AI use.

Compliance with Regulations

Ensure AI models comply with regulations (GDPR, HIPAA, CCPA).

Bias Detection and Mitigation

Monitor for potential AI bias and implement strategies to mitigate it.

Core Technologies

AI Governance : IBM OpenScale, Fiddler AI, Fairness Indicators by Google, Microsoft Fairlearn ,Salesforce Ethical AI Framework, Einstein GPT Trust Layer

Scaling AI Across the Enterprise

AI at Scale

Scale AI initiatives across departments and business units.

AI Center of Excellence (CoE)

Establish an internal AI CoE to drive AI adoption and governance.

Cross-Department AI Implementation

Expand AI use across multiple functions for maximum ROI.

Core Technologies

AI at Scale Tools : Dataiku, AWS SageMaker, Google AI Platform, Industry Agents ,Salesforce AI Center of Excellence, Einstein Automate

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Partner with Teqfocus for End-to-End AI Transformation

Teqfocus is your trusted partner in data engineering, data science, machine learning, and enterprise AI services. Whether you are just starting your data journey or ready to deploy AI at scale, our experts are here to ensure your success every step of the way.

How our Data + AI Solutions are Making an Impact