Machine Learning in data-driven decision making with Google Cloud Platform
Enhancing Decision-Making with AI
AI-powered solutions help your data-driven decision making through Machine Learning and deep learning according to MLops principles.
BIP xTech and Google Cloud can support you successfully improve your decision making process through the conception and deployment of AI-powered solutions.
CORE ACTIVITIES
Design and implementation of supervised and unsupervised learning models to support business insight generation
Development and deployment of Artificial Intelligence applications
Monitoring and maintenance of machine learning and deep learning solutions to ensure control over performance drifts
Business cases to estimate the impact of machine learning solutions
OUR IMPACTS
Data Valorisation
The analysis of inputs and outputs of the ML models allow the business to better understand the quality of the data and the opportunities for monetization.
Focus on Business Requirements
The ML models are designed around the business needs and are built to provide tangible business results providing clear KPIs to qualify the ROI .
Actionability and Operationalization
ML models will become trusted solutions and will be integrated in the business process to be used as decision systems to trigger business actions automatically.
RESOURCES INVOLVED
Data Strategist
Business Translator
Data Scientist
ML Engineer
BI Expert
Data Architect
Data Engineer
RESOURCES INVOLVED
Data Strategist
Business Translator
Data Scientist
ML Engineer
BI Expert
Data Architect
Data Engineer
SOLUTION IMPLEMENTATION: FROM PROTOTYPING TO OPERATIONALIZING
A dynamic approach for different business needs:
Stand-alone/PoC
This approach is useful for clients who want to start their ML journey understanding how artificial intelligence can add value to their organization.
MLOps Inception (MLOps Fundation + First Model + Cultural Shift)
For clients who want to build a whole ML ecosystem to train, test and deploy in production their problem.
New Models in existing MLOps ecosystems
For clients who already have their own MLOps Infrastructure.
Google Cloud Services we love
BIGQUERY
A fully-managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.
VERTEX AI
A machine learning (ML) platform for training and deploying ML models and AI applications, as well as customizing large language models (LLMs) for use in AI-based applications.
DATAPROC
A fully managed and highly scalable service for running Apache Hadoop, Apache Spark, Apache Flink, Presto, and 30+ open source tools and frameworks.
DATAFLOW
A fully managed data flow analysis service that minimizes latency, processing time and costs.
Google Cloud Services we love
BIGQUERY
A fully-managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.
VERTEX AI
A machine learning (ML) platform for training and deploying ML models and AI applications, as well as customizing large language models (LLMs) for use in AI-based applications.
DATAPROC
A fully managed and highly scalable service for running Apache Hadoop, Apache Spark, Apache Flink, Presto, and 30+ open source tools and frameworks.
DATAFLOW
A fully managed data flow analysis service that minimizes latency, processing time and costs.
