Radhika Madhavan

Radhika Madhavan covers AI innovation at Emerj. Radhika previously worked in content marketing at three technology firms, and graduated from Sri Krishna College Of Engineering And Technology with a degree in Information Technology.

Articles by Radhika

14 articles
Artificial Intelligence in Policing

Artificial Intelligence in Policing – Use-Cases, Ethical Concerns, and Trends

In July of 2018, Daniel Faggella spoke at the Interpol--United Nations (UNICRI) Global Meeting on the Opportunities and Risks of Artificial Intelligence and Robotics for Law Enforcement. It was the very first event on the usage of AI in policing, security and law enforcement by the UN and INTERPOL. 

AI Ethics vs. Virtue Signalling – Transparency, Accountability, and Solving Real Problems

AI Ethics vs. Virtue Signaling – Transparency, Accountability, and Solving Real Problems

Daniel Faggella, CEO and founder at Emerj, kicked off the Technology Association of Georgia's first major event on AI Ethics in May 2019. While he could not be physically present at the event, Daniel addressed the audience through a short video on AI ethics.

how self-driving cars work

How Self-Driving Cars Work – A Simple Overview

The National Highway Traffic Safety Administration (NHTSA) of the U.S. Department of Transportation recently released an overview report on the current state of self-driving technology.

Investing in AI Mental Health Startups - An Overview

Investing in AI Mental Health Startups – An Overview

According to the National Institute of Mental Health, the United States is currently battling a mental health epidemic. One in every five Americans struggles with mental illness in one form or another. According to the National Institute on Drug Abuse, opioid abuse claims about 115 American lives every day. According to the Center for Workplace Mental Health founded by the American Psychiatric Association, up to 7% of full-time workers in the U.S. suffer from major depressive disorder, the economic cost of which is estimated to be $210.5 billion per year.

AI Ethics at the IEEE - Current Initiatives and Future Outlook

Establishing AI Ethics – Public and Private Sector Initiatives

The Institute of Electrical and Electronics Engineers (IEEE) comprises about 421,000 members in over 160 countries, and is known to most in the tech community for its publications, technology standards, conferences, and professional and educational activities. The organization has been developing internationally recognized technology standards for decades.

Northup AI ML

Artificial Intelligence Applications at Northrop Grumman – An Overview

Northrop Grumman Corporation is a U.S. global technology company that provides autonomous, aerospace, cybersecurity, and defense solutions to military and commercial organizations.

block 1.16

User Engagement Company Improves Lead Quality Using Predictive Analytics

Technology Provider: Ignite Technologies (which acquired Infer, a Mountain View, CA-based marketing optimization and machine learning company).

Natural Language Processing - Current Applications and Future Possibilities

Natural Language Processing – Current Applications and Future Possibilities

A 2017 Tractica report on the natural language processing (NLP) market estimates the total NLP software, hardware, and services market opportunity to be around $22.3 billion by 2025. The report also forecasts that NLP software solutions leveraging AI will see a market growth from $136 million in 2016 to $5.4 billion by 2025.

Avoiding Common Mistakes in Applying AI to Business Problems - with Jeremy Barnes of Element AI 1

Avoiding Common Mistakes in Applying AI to Business Problems – with Jeremy Barnes of Element AI

Episode summary: This week, AI in Industry features Jeremy Barnes, Chief Architect at Element AI. Jeremy talks about the common mistakes some businesses might make while adopting AI to solve broad business problems. He also sheds light on the problem areas that could raise the market value of businesses through AI adoption, hiring the right talent with the right combination of subject matter expertise and business experience, and the business and technical aspects executives should consider before contemplating the adoption of AI.

Artificial Intellgience in Security 950×540 (1)

AI in Biometrics and Security – Current Business Applications

Biometric solutions are typically used for security and access control across businesses and government organizations. The U.S. government has taken keen interest in biometric applications and has been aggressively funding advanced research programs in businesses that offer biometrics.