Seeking to address the growing shortage of data scientists as demand for those skills explodes, leading U.S. security specialist Booz Allen Hamilton released a data science platform aimed at “democratizing data” via a simplified analytics system.
The military and intelligence contractor (NYSE: BAH) based in McLean, Va., unveiled its “Sailfish” data science platform this week designed to “lower the barrier to entry for data science.” The platform consists of an “Exchange,” or data library, an analytics tool called “Explore” and a support platform.
Booz Allen is promoting Sailfish as a way of smashing silos among analytics, management or business users while eliminating the need for formal data science training. That approach is similar to other efforts geared at addressing the shortage of trained data scientists by making data analytics tools more accessible to managers and other business users.
Meanwhile, other approaches seek to address the data scientist shortage by leveraging emerging technologies like machine learning. In one example, MIT researchers reported last year on an effort to automate analytics via machine learning algorithms.
Vendors like Booz Allen are taking more conventional routes to plugging the data science skills gap by making analytics tools easier to use while providing technical support when users encounter problems. The government contractor that once employed the whistleblower Edward Snowden presumably has vast experience in data analytics and is now seeking to leverage those capabilities in commercial markets as a way to fill the data science gap.
Indeed, the company cited its “legacy knowledge of data science stemming from work in the highest levels of the federal government and military….”
“In 2016, we expect to see increased pressure from organizations to draw valuable, executable insights from their data, and yet, the size of the data science workforce severely lags behind its market demand,” Josh Sullivan, a Booz Allen Hamilton senior vice president and leader of the firm’s data science team noted in a statement unveiling the Sailfish platform.
Along with building up data science competency, the company said its suite of Sailfish applications and services aim to help manage corporate data and encourage greater use of analytics across different departments. It also seeks to help users move beyond traditional analytics toward a more sophisticated approach that relies on machine learning, natural language processing, advanced data querying and data curation.
The Explore tool, for example, seeks to make data science and advanced analytics more accessible to non-specialists. It includes a natural language interface intended to eliminate the need for special query languages. The company said Explorer also includes a visual query builder that replaces coding with a drag-and-drop capability to formulate complex queries.
A data management feature allows users to schedule, save and share workflows. The tool sits on top of exiting data storage platforms like Hive and the Hadoop Distributed File System, Booz Allen said.
Recent items:
Machine Learning Tool Seeks to Automate Data Science
How Machine Learning is Eating the Software World
March 28, 2024
- Lightning AI’s New Thunder Compiler Boosts AI Development Efficiency by 40%
- Intel Gaudi 2 Remains Only Benchmarked Alternative to NV H100 for GenAI Performance
- MineOS Unveils AI Asset Discovery
- Cloudera Survey Reveals 90% of IT Leaders Believe that Unifying the Data Lifecycle on a Single Platform is Critical for Analytics and AI
- Snowflake Enhances Secure, Cross-Cloud Collaboration for High Value Business Outcomes with Snowflake Data Clean Rooms
- Domo Announces Winners of the 2024 Community Ovation Awards
March 27, 2024
- New MLPerf Inference Benchmark Results Highlight the Rapid Growth of Generative AI Models
- Qlik Advances Real-time Data Analytics with Solace PubSub+ Platform Integration
- Samsung Unveils Expanded CXL Memory Module Portfolio at Memcon 2024, Enhancing AI and HPC
- Celestial AI Closes $175M Series C Funding Round Led by US Innovative Technology Fund
- Databricks Launches DBRX: A New Standard for Efficient Open Source Models
- Astronomer Unveils New Capabilities in Astro to Streamline Enterprise Data Orchestration
- DataVisor Introduces Enhanced Anti-Money Laundering Solution to Support Financial Institutions
March 26, 2024
- Dremio Announces General Availability on Microsoft Azure
- Elastic Study Highlights Soaring Optimism in Generative AI Investment Despite Data and Security Challenges
- Dataiku and PwC Bring Practical AI Solutions to Regulated Industries
- HPE Leverages GenAI to Enhance AIOps Capabilities of HPE Aruba Networking Central Platform
- DataStax and Microsoft Collaborate to Make it Easier to Build Enterprise Generative AI and RAG Applications with Legacy Data
- SQream and Qantm AI Partner to Solve Enterprise Data and AI Challenges
- Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions
Most Read Features
Sorry. No data so far.
Most Read News In Brief
Sorry. No data so far.
Most Read This Just In
Sorry. No data so far.
Sponsored Partner Content
-
Supercharge Your Data Lake with Spark 3.3
-
Learn How to Build a Custom Chatbot Using a RAG Workflow in Minutes [Hands-on Demo]
-
Overcome ETL Bottlenecks with Metadata-driven Integration for the AI Era [Free Guide]
-
Gartner® Hype Cycle™ for Analytics and Business Intelligence 2023
-
The Art of Mastering Data Quality for AI and Analytics
Sponsored Whitepapers
Contributors
Featured Events
-
Data Universe
April 10 - April 11New York United States -
Call & Contact Center Expo
April 24 - April 25Las Vegas NV United States -
AI & Big Data Expo North America 2024
June 5 - June 6Santa Clara CA United States -
AI Hardware & Edge AI Summit 2024
September 10 - September 12San Jose CA United States