Algorithmia was named today by CB Insights on its fifth annual AI 100 ranking, showcasing the 100 most promising private artificial intelligence companies in the world.

Cyber-attacks are commonly viewed as one of the most severe risks to worldwide security. Cyber-attacks are not the same as they were five years back in aspects of availability and efficiency. Improved technology and more efficient offensive techniques provide the opportunity for cybercriminals to initiate attacks on a vast scale with a higher effect. Intruders employ new methods and launch more comprehensive strategies based on AI to compromise systems.

We’re excited to share a new integration between YData and Algorithmia. In this blog post, we walk you through the process of combining these two powerful machine learning platforms.

We often hear that Artificial Intelligence is the future. The truth is that it’s already here, and if you’re not already using AI for customer service, you’re missing out. Integrating AI into customer service can drastically improve CX. It helps identify customer pain points, automates processes, speeds up decision-making, and optimises service delivery.

Few people can understand the difference between theory and practice more clearly than a chess Grandmaster. Our little 64-square laboratory has space for centuries of ideas. With more moves than atoms in the solar system, my ancient boardgame has limitless complexity for the human mind—and was even enough to stump the world’s fastest computers for decades.

Conversational AI chatbots are a new vector of artificial intelligence use case that makes the user experience satisfactory, providing immediate response. This technology enables users to converse with applications through various means, such as via text, voice, touch, or gesture, which are closely the same as humans. Users find it much more impressive as they can communicate with their vocabulary and terminologies.

A recent speech by Governor Lael Brainard of the US Federal Reserve emphasized the importance of machine learning governance. Read more in this blog post.

Running an Artificial Intelligence (AI) infrastructure on premise has major challenges like high capex and requires internal expertise. It can provide a lot of benefits for organisations that want to establish an AI strategy. The solution outlined in this post illustrates the power and the utility of the universal Operator Lifecycle Manager (OLM) using Juju, a universal OLM, to create and manage on premise AI infrastructure.