Ask the Experts

Ask the Experts

• How bad is generative AI data leakage and how can you stop it?

  Mismanaged training data, weak models, prompt injection attacks can all lead to data leakage in GenAI, with serious costs for companies. The good news? Risks can be mitigated.  Continue Reading

• Machine learning vs. neural networks: What's the difference?

  Though machine learning and neural networks are both forms of AI, neural networks are a specific type of ML algorithm. Learn more about their similarities and differences.  Continue Reading

• How to create a data set for machine learning with limited data

  A shortage of data for machine learning training sets can halt a company's AI development in its tracks. Turning to external sources and hidden data can solve the problem.  Continue Reading

• How to improve candidate matching with AI in HR recruitment

  AI in HR recruitment can source talent externally but can also be used to improve internal projects. AI platforms can match qualified existing employees to potential open projects.  Continue Reading

• How to overcome the data scientist shortage

  The industrywide data scientist shortage is leading companies like Schneider Electric to look internally for employees with a technical background and invest in training them.  Continue Reading

• How will the GDPR and AI clash affect enterprise applications?

  Compliance rules for GDPR and AI implementation may not seamlessly work together. Experts say AI's automated decisions on customer data are risky and need to be explainable.  Continue Reading

• Data scientist vs. business analyst: What's the difference?

  Data science and business analyst roles differ in that data scientists must deep dive into data and come up with unique business solutions -- but the distinctions don't end there.  Continue Reading