Categories: All - personalization - efficiency - education - data

by Takiya Moore 2 months ago

47

Bright Hive

Organizations are increasingly leveraging advanced technologies to enhance various aspects of their operations and services. Key focuses include the effective use of benchmarking for continuous improvement and the application of artificial intelligence to create personalized experiences.

Bright Hive

Bright Hive

Benchmarking

University
Comparison to Peers
College
Realtime Student Data
Mission Driven Benchmarks
Goal Driven Benchmarks

Personalized Student Interactions

Student Engagement
AI Nudge Chatbots
Proactive Support
Tailored Student Data

360 Student View

Student Programming
Personalized Support for students
Intervention
Student Population Overview

Integrations

Airbyte
Databricks
snowflake
Amazon Redshift
DBT
PowerBI
Tableau
Evidence
Deepnote
Hex
Work collaboratively end-to-end from quick queries to deep-dive analyses to beautiful interactive data apps – all in one collaborative, AI-powered workspace. Data exploration: SQL, Python, R, pivots, spreadsheets, charts, all together, all in a modular, notebook-based canvas. Magical AI: Generate queries, write code, create visualizations, fix bugs, and kickstart whole analyses - all from a prompt.
SQLMesh
SQLMesh actually understands the SQL you write and improves developer productivity by finding issues at compile time. Built-in column-level lineage provides a deeper understanding of your data model and transpilation makes it easy to run your SQL across multiple engines.
GreatExpectations
An end-to-end solution for your data quality process and a unique Expectation-based approach to testing
Unity Catalog
With Unity Catalog, organizations can seamlessly govern both structured and unstructured data in any format, as well as machine learning models, notebooks, dashboards and files across any cloud or platform. Data scientists, analysts and engineers can securely discover, access and collaborate on trusted data and AI assets across platforms, leveraging AI to boost productivity and unlock the full potential of the lakehouse environment.
Glue Data Catalog
AWS Glue is a serverless data integration service that makes it easy for analytics users to discover, prepare, move, and integrate data from multiple sources. You can use it for analytics, machine learning, and application development. It also includes additional productivity and data ops tooling for authoring, running jobs, and implementing business workflows. AWS Glue consolidates major data integration capabilities into a single service. These include data discovery, modern ETL, cleansing, transforming, and centralized cataloging.
OpenMetadata
A single place for all your data and all your data practitioners to build and manage high quality data assets at scale. (data discovery, observability and governance)
OneHouse
Fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines - at scale, for a fraction of the cost.
Jupyter
Free software, open standards, and web services for interactive computing across all programming languages

Agentic AI

Innovation Catalyst
Rapid Deployment
Iteration
Experimentation
Personalized Customer Experience
Tailored Recommendations
Anticipating Needs
Individual Preferences
Advanced Decision-Making Capabilities
Customer Service
Finance
Enhanced Operational Efficiency
Informed Decisions
Datasets
Tasks

Subtopic