Browsing: Scaling

Many automation programmes speed up workflows that should not exist. Learn how to eliminate work first and unlock real ROI.

NIAID’s platform and NIH’s Bio Genesis Mission reflect a broader push to move AI into mission workflows and accelerate biomedical discovery.

Scaling support operations requires handling rising ticket volumes, meeting strict Service Level Agreements (SLAs), adapting to evolving compliance requirements, and maintaining documentation that quickly becomes outdated, all without proportional increases in headcount. In many teams, the knowledge required to resolve tickets is fragmented across SOPs, recordings, and tribal expertise, forcing analysts to spend significant time…

Athletes move quickly, but Mondelēz International moves quicker—at least when it comes to sports marketing.

Global marketplace data points to a structural shift in digital trade: demand is increasingly fragmented across regions, channels, and buyer expectations. For sellers expanding internationally, this fragmentation translates into higher acquisition costs, more complex regulatory environments, and inconsistent delivery benchmarks that vary sharply by market. As a result, cross-border e-commerce is no longer a phase…

LaraPlugins.io indexes 82k Laravel packages, 40k vendors, 56k maintainer so in total every month it serves 3 million requests a month across:

Asia-Pacific has no shortage of ambition when it comes to artificial intelligence. Governments are announcing AI strategies, hyperscalers are expanding infrastructure, and enterprises are moving generative AI from experimentation into customer service, software development, finance and operations.

Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore starts with recognizing where large-scale migrations break down. Discovery consumes weeks per application. Engineers write infrastructure code from scratch for each workload. Post-migration operations devolve into reactive firefighting. Multiply those bottlenecks across over 300 applications and a fixed fiscal year deadline, and migration programs struggle…

Google Cloud has published 10 questions for startup developers building AI applications on its platform, aimed at helping teams move projects from prototype to production.

OpenAI’s data platform powers one of the fastest-scaling products in tech history. ChatGPT, the OpenAI API, and the internal tools used by thousands of OpenAI employees require a foundation that can withstand sudden growth, run governed analytics across multiple business units, and operate across multiple clouds simultaneously. That foundation has grown up around Databricks.