Meta is restructuring its AI operations to move the work out of a centralized organization and distribute it to individual business units. Here’s why that can be a mistake, and what enterprises should do instead to maximize the value AI can offer.
Archives for June 2022
CIOs Must Streamline IT to Focus on Agility
Chief information officers’ focus should move to promoting a culture of agile thinking within IT and putting the priority on product-oriented projects.
Responsible AI investments and safeguards for facial recognition
A core priority for the Cognitive Services team is to ensure its AI technology, including facial recognition, is developed and used responsibly. While we have adopted six essential principles to guide our work in AI more broadly, we recognized early on that the unique risks and opportunities posed by facial recognition technology necessitate its own […]
That DOS Won’t Hunt: Shutterfly CTO Talks Going Cloud
CTO Moudy Elbayadi discusses Shutterfly’s migration of its ecommerce platform from on-prem to the public cloud via MongoDB Atlas on AWS.
That DOS Won’t Hunt: Shutterfly CTO Talks Going Cloud
CTO Moudy Elbayadi discusses Shutterfly’s migration of its ecommerce platform from on-prem to the public cloud via MongoDB Atlas on AWS.
Internal Network Security Mistakes to Avoid
Network security begins at home. Here’s how to effectively secure threats from within your organization.
Internal Network Security Mistakes to Avoid
Network security begins at home. Here’s how to effectively secure threats from within your organization.
Bringing Industry Cloud to Your Company: What CIOs Need to Know
It’s important chief information officers understand industry cloud’s capabilities, its supporting technology, and what steps to take before implementing it.
Bringing Industry Cloud to Your Company: What CIOs Need to Know
It’s important chief information officers understand industry cloud’s capabilities, its supporting technology, and what steps to take before implementing it.
Fitting Presto to Large-Scale Apache Kafka at Uber
The need for ad-hoc real-time data analysis has been growing at Uber. They run a large Apache Kafka deployment and need to analyse data going through the many workflows it supports. Solutions like stream processing and OLAP datastores were deemed unsuitable. An article was published recently detailing why Uber chose Presto for this purpose and […]