In the panel discussion below, the focus is on the main challenges of building and deploying ML applications. The discussion includes common pitfalls, development best practices, and the latest trends in tooling to effectively operationalize. The presentation comes from apply(): …
Video Highlights: Challenges of Operationalizing ML Read more »
In this contributed article, Srinath Kalluri, CEO of Oyla, suggests that by blending AI, 3D and video analytics, businesses will be able to bring better information to big data and enable smarter and safer ways of working.
In this special guest feature, Rob Dickinson, CTO, Resurface Labs, suggests that to achieve greater success with AI/ML models, through accurate business understanding, clear data understanding, and high data quality, today’s API-first organizations must shift towards real-time data collection.
In this contributed article, Jon Siegler, Co-Founder and Chief Product Officer at LogicGate, discusses the future of the graph database, its impact on SaaS solutions, and his experience architecting products built on the flexible data model.
High licensing and maintenance fees Gartner, Inc. defines the TCO for enterprise software as the total cost an organization incurs to use and maintain software technology over time. To calculate TCO, companies consider direct costs, such as hardware, software and …
In this contributed article, editorial consultant Jelani Harper discusses how computer vision is one of the most eminent forms of statistical Artificial Intelligence in use today. Comprised of varying facets of object detection, facial recognition, image classification, and other techniques, …
Understanding “Human Intent and Behavior” with Computer Vision Read more »
IT architectures have witnessed an increasing amount of dispersal and segmentation over the last decade of their life cycle as new data and new technology have made their impact. Thus, many are seeking to modernize and optimize their current data …
How can you make modernizing your data and AI architecture simpler? Read more »
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In this contributed article, data scientists from Sigmoid discuss quantum machine learning and provide an introduction to QGANs. Quantum GANs which use a quantum generator or discriminator or both is an algorithm of similar architecture developed to run on Quantum …
Quantum Machine Learning – An Introduction to QGANs Read more »
In this article, we’ll explain how AI-driven “interaction analytics” represents a new and transformational technology that enables enterprise stake holders to turn customer interactions into a competitive advantage.