
Customized Solutions
Digitalized Facts is a Saudi AI institution serving each layer of AI development and deployment. Big Data, Machine Learning, Deep Learning, Computer Vision & Image Recognition, and Natural Language Understanding are the nerve-center of our cognitive adoption. This AI-based technology journey can be classified in 3 broad segments – Data Engineering, Data Science and AIOps.
Big Data and Cloud
To collect data and make it AI ready.
Distributed and parallel architecture support lightning-quick data processing and real-time insight mining.
Scalable data lake allows data ingestion from various structured and unstructured data sources.
Expertise in the latest tools and technologies of Big Data stack - Apache Spark, Nifi, Hadoop, Solr, PySpark, Lucene, Cassandra, Hive etc.
Why DF is one-stop-shop for all your Big Data and Cloud solutions:
Big Data Strategy and Architecture:
Tech Strategy and Road Map for the Big Data Journey.
Development of POCs to validate technology choices.
Use Case discovery.
Managed Services:
Migration of traditional BI/DW to Cloud/Big Data.
Enterprise/functional Data Lake.
Re-Usable Assets/ Accelerators.
Pachaged Solutions:
Data governance platform.
Data management platform.
Analytics solutions specific to client business needs.
Augment Clinet Capabilities:
End-to-end big data managed services.
Level 1 -3 Tech support (Annual/Custom).
Infrastructure Management & Support.
Big Data and Technical Stack:
Uniquely Positioned to Maximize Value:
Distributed and parallel architecture supports lightning quick data processing and real-time insight mining.
Scalable data lake allows data ingestion from various structured and unstructured data sources.
Expertise in the latest tools and technologies of Big Data stack - Apache Spark, Nifi, Hadoop, Solr, PySpark, Lucene, Cassandra, Hive etc.
Successful Big Data (On-premise and Cloud) implementations' experience (7+).
Experts (40+) to deploy solutions and growing at fast pace.
Advanced Analytics
Solve specific business problems through AI.
we solve a specific business problems through AI.
Machine Learning:
Classification, Regression and Clustering
Supervised and Unsupervised Learning
Predictive Analytics
Reinforcement Learning
Deep Learning and Neural Network:
Natural Language Understanding – Text and Voice
Object Detection and Localization
Text and Character Recognition
Statistical Modeling:
Time Series
Regression Algorithms
Univariate and Multivariate Analysis
Exploratory Data Analysis
Advanced Analytics Workflow:
AIOps
Creating an Infrastructure for enterprise to make AI production ready and usable.
Integrated Development, Deployment, and Management environment to make any robust AI solution live and attain faster speed to market.
Distributed and parallel architecture supports lightning-quick data processing and real-time insight mining.
Distributed and parallel architecture supports lightning-quick data processing and real-time insight mining.