AI Articles and Reports about Enterprise resource planning

Explore articles and reports related to artificial intelligence for enterprise research planning, including applications for compliance, risk management, case management, and more.

Software Defined Compute - Possibilities and Advantages in Machine Learning

Software Defined Compute – Possibilities and Advantages in Machine Learning

We spoke with Jonathan Ross, CEO and founder of Groq, an AI hardware company, about software defined compute. This interview is part of a series we did in collaboration with Kisaco Research for the AI Hardware Summit happening in Mountain View, California on September 17 and 18. 

Emerj Launches Report on Getting Started with AI in Business

Emerj Launches Report on Getting Started with AI in Business

We set out to create a report that would be particularly useful for executives and business leaders who are looking to get started with an AI initiative, as well as IT and management consultants who want to competently and effectively guide their clients through AI adoption.

How to Get Started with AI – Best Practices from 4 Industry Experts

How to Get Started with AI – Best Practices From 4 Industry Experts

Although there are established use-cases for AI applications in the business world, the claims that AI vendors make about returns from their software are often exaggerated. What is also not apparent amongst the AI hype is that adopting AI and machine learning is far more challenging than it might seem.

Critical Questions to Ask Before Adopting Artificial Intelligence – with David Carmona of Microsoft

Critical Questions to Ask Before Adopting Artificial Intelligence – with David Carmona of Microsoft

This week we speak with David Carmona, General Manager of AI at Microsoft. Carmona discusses how redefining a business process is a very different kind of AI adoption project than working on something that is horizontal.

Artificial Intelligence For Risk Monitoring in Banking

Artificial Intelligence For Risk Monitoring in Banking

Investment in AI by banks and financial institutions for risk-related functions such as fraud and cybersecurity, compliance, and financing and loans has grown dramatically in the last half-decade compared to customer-facing functions.

AI and Alternative Data for Quantamental Investing

AI and Alternative Data for Quantamental Investing

AI and machine learning have had successful applications in the financial sector even before the entry of the mobile banking ecosystem. AI is being used to leverage insights from data for financial investing and trading, wealth management, asset management, and risk management.

Enterprise resource planning

Explore articles and reports related to artificial intelligence for enterprise research planning, including applications for compliance, risk management, case management, and more.