It May Soon Be Everywhere, But AI Needs Audit Trails
Artificial intelligence (AI) may soon be ubiquitous in next-gen tech for real-time, replacing "human intel" for mundane tasks -- but it needs
Nima is the Chief Technology Officer, original developer, and software architect of the Kinetica platform. Leveraging his unique insight into data processing, he established the core vision and goal of the Kinetica platform. Nima leads Kinetica’s technical strategy and roadmap development while also managing the engineering team. He has developed innovative big data systems across a wide spectrum of market sectors, ranging from biotechnology to high-speed trading systems using GPUs, as Lead Architect and Engineer with The Real Deal, Digital Sports, Equipoise Imaging, and Synergetic Data Systems. Early in his career, Nima was a Senior Consultant with Booz Allen Hamilton.
Artificial intelligence (AI) may soon be ubiquitous in next-gen tech for real-time, replacing "human intel" for mundane tasks -- but it needs
Follow these best practices for data lake management to ensure your organization can make the most of your investment.
The need for automated data pipelines is clear. What role will data scientists play in bringing them about?
Developing an enterprise-ready application that is based on machine learning requires multiple types of developers.
Cloud optimization could offer the best method for reducing costs according to a new report.