April 6, 2022
Photo: Alex Edelman via Getty Images
Hello and welcome to Protocol Enterprise! Today: how the U.S. and Singapore are developing AI policy with China in mind, Google builds a house by the lake, and Boeing bolsters its multicloud plans.
Cybersecurity has never been an easy job, but the onslaught of ransomware and supply chain attacks over the last few years appears to be taking a toll. According to a survey conducted by Cobalt, 54% of cybersecurity workers are thinking about quitting their jobs amid a dire shortage of qualified security professionals.
When President Joe Biden hosted Singapore Prime Minister Lee Hsien Loong on March 29, he acknowledged the bilateral strategic partnership between the two nations — and the 5,400 U.S. companies with locations in Singapore. On the sidelines, U.S. Commerce Department representatives met with Singapore officials to expand the countries’ economic efforts related to trustworthy AI, data privacy, digital trade standards and advanced manufacturing.
The drumbeat in the U.S. to slow China’s mission to dominate AI is growing stronger.
In their agreement to expand their partnership, the U.S. and Singapore also announced plans for more collaboration on tech standards and advanced manufacturing. These efforts reflect both nations’ goals to foster data and tech interoperability and connectivity related to digital trade, Capri said.
While the U.S. does not have any laws or blanket regulatory regime to address AI governance or related data use, Singapore created its Model AI Governance Framework for ethical AI approaches in 2019, which addresses explainability, fairness and the need for AI to be “human-centric.”
In essence, while China has established strict data controls requiring companies operating there to localize data and share data decryption keys, the U.S. and Singapore have reiterated their commitment to a more-open approach taken by liberal democracies when it comes to data use and tech interoperability.
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Google Cloud plans to launch a new data lake storage engine based on its popular BigQuery data warehouse to help remove barriers preventing customers from mining the full value of their ever-increasing data.
BigLake, now available in preview, allows enterprises to unify their data warehouses and data lakes to analyze data without worrying about the underlying storage format or systems, according to Sudhir Hasbe, Google Cloud’s senior director of Product Management for data analytics.
“The biggest advantage is then you don't have to duplicate your data across two different environments and create data silos,” Hasbe said in a press briefing prior to Wednesday’s Google Data Cloud Summit, where BigLake was announced.
With BigLake, Google Cloud is extending the capabilities of its 11-year-old BigQuery to data lakes on Google Cloud Storage to enable a flexible, open lakehouse architecture, according to the cloud provider. A data lakehouse is an open data-management architecture that combines data-warehouse-like data management and optimization functions, including business intelligence, machine learning and governance, for data lakes that typically provide more cost-effective storage.
“When you think about limitless data, it is time that we end the artificial separation between managed warehouses and data lakes,” said Gerrit Kazmaier, Google Cloud’s vice president and general manager for database, data analytics and Looker. “Google is doing this in a unique way.”— Donna Goodison (email | twitter)
While debate continues over whether or not it really makes sense to use multiple cloud infrastructure providers, Boeing is already at cruising altitude. The aircraft-maker announced Wednesday that it has signed new cloud deals that build on existing relationships with each member of the Big Three: AWS, Microsoft and Google.
But while Boeing picks and chooses what it needs from among the three major U.S. cloud providers, “most of Boeing’s applications now are hosted and maintained through on-site servers, managed by Boeing or external partners,” it said in its press release. That’s probably common among companies of Boeing’s age and size, and it means there’s likely a lot of runway ahead for each cloud provider to win new business.
Google launched a new alliance between several database and analytics companies including Databricks, Confluent and MongoDB to “make data more portable and accessible,” although without AWS, Microsoft and Snowflake this looks like another alliance disguised as a competitive marketing message.
Intel shut down all its operations in Russia weeks after cutting off shipments to the country in line with U.S. sanctions against chipmakers supplying the Russian economy.
The U.S. government said it removed malware on compromised networking devicesused by a botnet group operated by the Russian military to launch DDoS attacks against targets.Security researchers discovered what is believed to be the first malware written specifically for AWS’ Lambda serverless computing service, designed for — what else, in 2022 — cryptocurrency mining.
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Thanks for reading — see you tomorrow!