
Obama Win Reinforces New Tech Era
It may have been President Barack Obama’s favorable standing with the auto industry that won him the state of Ohio and thus re-election last night, but it is his technology policies and initiatives that could define his legacy and the direction of the tech industry in the United States for the years to come.
Before the election, Obama addressed the New York Tech Meetup in a letter to discuss his technology plans and policies going forward. For Obama, the keys to ensuring a strong tech ecosystem in the United States include providing increased data access, creating a healthy environment in which startups can sprout, and educating and training the country’s youth for the science, mathematics, and technology jobs that come with those startups.
During Obama’s first four years in office, open source technology was behind many innovations, including advancements in Hadoop, smartphone platforms, and much more. In order to create the massive datasets from which to draw accurate insight, data availability becomes paramount. As such, Obama promised to help that process along in creating a CTO position for America. “I created the position of U.S. Chief Technology Officer so we can pursue new open data initiatives to unleash unprecedented volumes of government data related to energy, education, international development, public safety and other areas.”
From a worldwide tech perspective, if Obama can make it easier for foreign entrepreneurs to set up shop in the United States, it would give those ensuing companies extended access to the markets and talent available in the States. “We have a start-up visa program that’s allowing foreign entrepreneurs to establish businesses in America and create American jobs,” Obama said in his letter regarding tech startup.
However, there is still somewhat of a dearth of American technical talent. It helps little that American schools are considered to be falling behind their Western European and Asian counterparts with regard to math and science. Obama hopes to address that with a STEM (Science, Technology, Engineering, and Math) teaching recruiting effort that has been underway since he first took office.
“I have set concrete goals to create an economy built to last, including recruiting 100,000 math and science teachers over the next 10 years and training 2 million workers at community colleges for jobs in fields like health care, advanced manufacturing, clean energy and information technology,” Obama wrote.
Unemployment was a hot issue in this election cycle. However, those in the data management industry suspect that there exists a premium on talent, especially with regard to data science. Greenplum estimates that the United States will be short 140,000 to 190,000 data science jobs by the year 2018. Education initiatives such as those Obama has proposed could help bridge that gap.
There also needs to be an increased sense within the populous that technology and data analytics are important. That cause won a victory last night as well.
Nate Silver created a controversial blog called 538 for the New York Times in which he used polling data to predict how the states would go in the electoral college. While most political pundits looked at the polls in battleground states such as Ohio, Virginia, and Pennsylvania and dismissed them due to their being within the “margin of error,” Silver aggregated that data, weighted it, and came up with projections that ultimately proved accurate.
While the fact itself that his methods were widely criticized by the punditry is not particularly important, that brought awareness to what Silver was doing. Now that Silver correctly predicted 50 out of 50 states, there looks to be a realization that data analysis, when applied properly, can deliver powerful insights.
Silver was hardly working with big data (he didn’t have to rent out any Hadoop clusters to aggregate poll data), but the principle under which he worked serves as an undercurrent of the big data initiative today: put together more data to better understand the market, but make sure that data is relevant.
If enterprises realize that opportunity and if Obama delivers on his technological promises, the tech industry will enjoy the path ahead.
Related Articles
The NSA, Big Data, and “Total Information Awareness”
Helping the Government Survive the Data Tsunami
June 20, 2025
- Couchbase to be Acquired by Haveli Investments for $1.5B
- Schneider Electric Targets AI Factory Demands with Prefab Pod and Rack Systems
- Hitachi Vantara Named Leader in GigaOm Report on AI-Optimized Storage
- H2O.ai Opens Nominations for 2025 AI 100 Awards, Honoring Most Influential Leaders in AI
June 19, 2025
- ThoughtSpot Named a Leader in the 2025 Gartner Magic Quadrant for Analytics and BI Platforms
- Sifflet Lands $18M to Scale Enterprise Data Observability Offering
- Pure Storage Introduces Enterprise Data Cloud for Storing Data at Scale
- Incorta Connect Delivers Frictionless ERP Data to Databricks Without ETL Complexity
- KIOXIA Targets AI Workloads with New CD9P Series NVMe SSDs
- Hammerspace Now Available on Oracle Cloud Marketplace
- Domino Launches Spring 2025 Release to Streamline AI Delivery and Governance
June 18, 2025
- WEKA Introduces Adaptive Mesh Storage System for Agentic AI Workloads
- Zilliz Launches Milvus Ambassador Program to Empower AI Infrastructure Advocates Worldwide
- CoreWeave and Weights & Biases Launch Integrated Tools for Scalable AI Development
- BigID Launches 1st Managed DPSM Offering for Global MSSPs and MSPs
- Starburst Named Leader and Fast Mover in GigaOm Radar for Data Lakes and Lakehouses
- StorONE Unveils ONEai for GPU-Optimized, AI-Integrated Data Storage
- Cohesity Adds Deeper MongoDB Integration for Enterprise-Grade Data Protection
- Fivetran Report Finds Enterprises Racing Toward AI Without the Data to Support It
- Datavault AI to Deploy AI-Driven Supercomputing for Biofuel Innovation
- Inside the Chargeback System That Made Harvard’s Storage Sustainable
- What Are Reasoning Models and Why You Should Care
- The GDPR: An Artificial Intelligence Killer?
- It’s Snowflake Vs. Databricks in Dueling Big Data Conferences
- Databricks Takes Top Spot in Gartner DSML Platform Report
- Snowflake Widens Analytics and AI Reach at Summit 25
- Why Snowflake Bought Crunchy Data
- Top-Down or Bottom-Up Data Model Design: Which is Best?
- Change to Apache Iceberg Could Streamline Queries, Open Data
- Fine-Tuning LLM Performance: How Knowledge Graphs Can Help Avoid Missteps
- More Features…
- Mathematica Helps Crack Zodiac Killer’s Code
- It’s Official: Informatica Agrees to Be Bought by Salesforce for $8 Billion
- Solidigm Celebrates World’s Largest SSD with ‘122 Day’
- AI Agents To Drive Scientific Discovery Within a Year, Altman Predicts
- DuckLake Makes a Splash in the Lakehouse Stack – But Can It Break Through?
- The Top Five Data Labeling Firms According to Everest Group
- ‘The Relational Model Always Wins,’ RelationalAI CEO Says
- Who Is AI Inference Pipeline Builder Chalk?
- Toloka Expands Data Labeling Service
- Data Prep Still Dominates Data Scientists’ Time, Survey Finds
- More News In Brief…
- Astronomer Unveils New Capabilities in Astro to Streamline Enterprise Data Orchestration
- Yandex Releases World’s Largest Event Dataset for Advancing Recommender Systems
- Astronomer Introduces Astro Observe to Provide Unified Full-Stack Data Orchestration and Observability
- BigID Reports Majority of Enterprises Lack AI Risk Visibility in 2025
- Databricks Unveils Databricks One: A New Way to Bring AI to Every Corner of the Business
- MariaDB Expands Enterprise Platform with Galera Cluster Acquisition
- FICO Announces New Strategic Collaboration Agreement with AWS
- Snowflake Openflow Unlocks Full Data Interoperability, Accelerating Data Movement for AI Innovation
- Databricks Announces Data Intelligence Platform for Communications
- Cisco: Agentic AI Poised to Handle 68% of Customer Service by 2028
- More This Just In…