Software Development
Software Development

Best Practices for Building the AI Development Platform in Government 

By John P. Desmond, AI Trends Editor  The AI stack defined by Carnegie Mellon University is fundamental to the approach being taken by the US Army for its AI development platform efforts, according to Isaac Faber, Chief Data Scientist at the US Army AI Integration Center, speaking at the AI World Government event held in-person and virtually […]

Advance Trustworthy AI and ML, and Identify Best Practices for Scaling AI 

By John P. Desmond, AI Trends Editor   Advancing trustworthy AI and machine learning to mitigate agency risk is a priority for the US Department of Energy (DOE), and identifying best practices for implementing AI at scale is a priority for the US General Services Administration (GSA).   That’s what attendees learned in two sessions at the AI […]

Promise and Perils of Using AI for Hiring: Guard Against Data Bias 

By AI Trends Staff   While AI in hiring is now widely used for writing job descriptions, screening candidates, and automating interviews, it poses a risk of wide discrimination if not implemented carefully.  That was the message from Keith Sonderling, Commissioner with the US Equal Opportunity Commision, speaking at the AI World Government event held live and virtually in […]

Getting Government AI Engineers to Tune into AI Ethics Seen as Challenge 

By John P. Desmond, AI Trends Editor   Engineers tend to see things in unambiguous terms, which some may call Black and White terms, such as a choice between right or wrong and good and bad. The consideration of ethics in AI is highly nuanced, with vast gray areas, making it  challenging for AI software engineers to […]

Digital Natives Seen Having Advantages as Part of Government AI Engineering Teams 

By John P. Desmond, AI Trends Editor   AI is more accessible to young people in the workforce who grew up as ‘digital natives’ with Alexa and self-driving cars as part of the landscape, giving them expectations grounded in their experience of what is possible.   That idea set the foundation for a panel discussion at AI World […]

How Accountability Practices Are Pursued by AI Engineers in the Federal Government  

By John P. Desmond, AI Trends Editor    Two experiences of how AI developers within the federal government are pursuing AI accountability practices were outlined at the AI World Government event held virtually and in-person this week in Alexandria, Va.  Taka Ariga, chief data scientist and director at the US Government Accountability Office, described an AI accountability framework he uses within his agency […]

Executive Interview: Navid Alipour, co-founder Analytics Ventures

From a beachhead in healthcare, firm aims to apply its venture studio model and own pool of data scientists to more industries Navid Alipour is co-founder and managing partner at Analytics Ventures, a global venture studio providing end to end infrastructure and to plan, form, launch, fund, and validate brand new ventures in Artificial Intelligence. […]

How SparkBeyond Is Using AI To Ask The Right Questions

By Benjamin Ross Six years ago, Sagie Davidovich and Ron Karidi wanted to see if they could find a way to harness all of humanity’s collective intelligence using artificial intelligence (AI). Now, their co-founded startup, SparkBeyond, is making waves in AI, using their platform to ask the questions about data we’ve never thought of asking […]

Modzy Aims to Accelerate Enterprise AI Adoption with Pre-trained Models

By AI Trends Staff The consulting firm Booz Allen has announced Modzy, a product aimed at accelerating the deployment of AI applications in the enterprise. The company has assembled AI models from its own experience, from open source communities, and technology partners. Modzy provides an environment for the models to be uploaded, managed, and deployed. […]

Uber’s Data Science Strategy: People, Product Lifecycle, Platformization

By Allison Proffitt, AI Trends Editorial Director “Uber is making decisions in real time at global scale, while needing to take into account local nuances of the marketplaces,” explained Franziska Bell, Director, Data Science, Data Science Platforms, Uber. “And, of course, we also want to incorporate the user preferences on the product.” As a result, […]