Tag: ai/ml

Partners have made it clear that they are eager to create generative AI offerings that drive value for their customers as quickly as possible. Google Cloud is committed to enabling our partners by fueling the most open and innovative AI ecosystem. To do this, we’re building on the many investments we are making to infuse …

Read more “Google Cloud deepens investment to activate partner ecosystem around generative AI”

AB testing aids business operators with their decision making, and is considered the gold standard method for learning from data to improve digital user experiences. However, there is usually a gap between the requirements of practitioners, and the constraints imposed by the statistical hypothesis testing methodologies commonly used for analysis of AB tests. These include …

Read more “Rapid and Scalable Bayesian AB Testing”

With the average cost of a data breach soaring to an all-time high at USD $4.45 million dollars in 2023, organizations face an ever-increasing array of cybersecurity threats. These threats can range from ransomware attacks to phishing campaigns and insider threats, potentially resulting in data breaches. As cybercriminals become more sophisticated and their tactics more …

Read more “SIEM and threat intelligence: Stay current on trending threats”

Planning and managing your cloud ecosystem and environments is critical for reducing production downtime and maintaining a functioning workload. In the “Managing your cloud ecosystems” blog series, we cover different strategies for ensuring that your setup functions smoothly with minimal downtime. To start things off, the first topic in this blog series is ensuring workload …

Read more “Managing your cloud ecosystems: Maintaining workload continuity during worker node upgrades”

As enterprises race to extract value from structured, semi-structured, and unstructured data, they face a continuum of challenges related to data gravity, including data acquisition, data management and data governance. Simultaneously, these companies are also grappling with model gravity as they build and scale machine learning workflows for their predictive analytics needs. Core data warehousing …

Read more “Scaling machine learning with BigQuery ML inference engine”

For disaster-prone areas, fragile connectivity remains a major problem, often going offline in critical moments. Aerospace enterprises face a similar challenge when trying to run consistent high-altitude connectivity while operating in remote locations, which can also be very expensive. This is where Project OWL comes into play: developing new technologies to help address these challenges. Formed …

Read more “2018 Call for Code Winner Project OWL advances its natural disaster communication network”