Uber Deploys Exactly-Once Processing System for Ads
Uber’s new ad processing system was built with open-source technologies and an innovative exactly-once semantic system for accuracy and reliability.
As the use of artificial intelligence (AI) becomes more mainstream and used in more aspects of daily operations, businesses start out by relying on compute infrastructures traditionally employed for HPC.Read More »Uber Deploys Exactly-Once Processing System for Ads
Uber’s new ad processing system was built with open-source technologies and an innovative exactly-once semantic system for accuracy and reliability.
AWS has an abundance of AI and ML offerings and adds more to the platform every month. It also supports numerous partner solutions.
The goal of the open-source machine learning compiler program is to lessen incompatibility issues across frameworks and hardware.
Over the past two years, Google Cloud has launched new solutions and integrations to have the same comprehensive coverage as Amazon Web Services and Microsoft Azure.
Among the offerings from Google Cloud is a wide variety of applications, services, and tools for AI and machine learning (ML).
The benefits of moving data analytics to the cloud can disappear if businesses don’t have the necessary expertise to manage the cloud’s complexities. Here are some best practices to consider to avoid challenges and maximize ROI.
While most job listings specified a particular programming language for a position, many also want SQL expertise.
Cloud service providers will form a large chunk of the expected AI infrastructure market as they try to deliver more innovative services to meet customer needs.
The FogROS 2 platform leverages cloud computing to speed processing and could allow next-gen robotic applications to take advantage of advanced algorithms.
As the AIOps market matures, many in the industry believe businesses will turn to AIOps platforms as their sole monitoring tool as these platforms are enabled to natively acquire data and analyze it.