Fresh off the announcement of more than $500 million in new capital across two new funds, Seattle-based Madrona Venture Group has announced that they’re adding Anu Sharma and Daniel Li to the team’s list of Partners.
The firm, which in recent years has paid particularly close attention to enterprise software bets, invests heavily in the early-stage Pacific Northwest startup scene.
Both Li and Sharma are stepping into the Partner role after some time at the firm. Li has been with Madrona for five years while Sharma joined the team in 2020. Prior to joining Madrona, Sharma led product management teams …
It’s been a busy year of expansion for the large cloud providers, with AWS, Azure and Google aggressively expanding their data center presence around the world. To cap off the year, Google Cloud today announced a new set of cloud regions, which will go live in the coming months and years. These new regions, which will all have three availability zones, will be in Chile, Germany and Saudi Arabia. That’s on top of the regions in Indonesia, South Korea, the U.S. (Last Vegas and Salt Lake City) that went live this year — and the upcoming regions in …
AWS has launched a new tool to let developers move data from one store to another called Glue Elastic Views.
At the AWS:Invent keynote CEO Andy Jassy announced Glue Elastic Views, a service that lets programmers move data across multiple data stores more seamlessly.
The new service can take data from disparate silos and move them together. That AWS ETL service allows programmers to write a little bit of SQL code to have a materialized view tht can move from one source data store to another.
For instance, Jassy said, a programmer can move data from DynamoDB to Elastic …
AWS today opened its re:Invent conference with a surprise announcement: the company is bringing the Mac mini to its cloud. These new EC2 Mac instances, as AWS calls them, are now available in preview. They won’t come cheap, though.
The target audience here — and the only one AWS is targeting for now — is developers who want cloud-based build and testing environments for their Mac and iOS apps. But it’s worth noting that with remote access, you get a fully-featured Mac mini in the cloud, and I’m sure developers will find all kinds of other use cases …
An Amazon Web Services outage has a wide effect, Salesforce might be buying Slack and Pinterest tests new support for virtual events. This is your Daily Crunch for November 25, 2020.
And for those of you who celebrate Thanksgiving: Enjoy! There will be no newsletter tomorrow, and then Darrell Etherington will be filling in for me on Friday.
The big story: Amazon Web Services stumble
Amazon Web Services began experiencing issues earlier today, which caused issues for sites and services that rely on its cloud infrastructure — as writer Zack Whittaker discovered when he tried to use his Roomba.
Amazon said the issue …
Amazon Web Services is currently having an outage, taking a chunk of the internet down with it.
Several AWS services were experiencing problems as of early Wednesday, according to its status page. That means any app, site or service that relies on AWS might also be down, too. (As I found out the hard way this morning when my Roomba refused to connect.)
Amazon says the issue is largely localized to North America. The company didn’t give a reason for the outage, only that it was experiencing increased error rates and that it was working on a resolution. The …
Seldon is a U.K. startup that specializes in the rarified world of development tools to optimize machine learning. What does this mean? Well, dear reader, it means that the “AI” that companies are so fond of trumpeting does actually end up working.
It has now raised a £7.1 million Series A round co-led by AlbionVC and Cambridge Innovation Capital . The round also includes significant participation from existing investors Amadeus Capital Partners and Global Brain, with follow-on investment from other existing shareholders. The £7.1 million funding will be used to accelerate R&D and drive commercial expansion, take Seldon Deploy — a new enterprise solution — to market and double the size of the team over the next 18 months.
More accurately, Seldon is a cloud-agnostic machine learning (ML) deployment specialist which works in partnership with industry leaders such as Google, Red Hat, IBM and Amazon Web Services.
Key to its success is that its open-source project Seldon Core has more than 700,000 models deployed to date, drastically reducing friction for users deploying ML models. The startup says its customers are getting productivity gains of as much as 92% as a result of utilizing Seldon’s product portfolio.
Alex Housley, CEO and founder of Seldon speaking to TechCrunch explained that companies are using machine learning across thousands of use cases today, “but the model actually only generates real value when it’s actually running inside a real-world application.”
“So what we’ve seen emerge over these last few years are companies that specialize in specific parts of the machine learning pipeline, such as training version control features. And in our case we’re focusing on deployment. So what this means is that organizations can now build a fully bespoke AI platform that suits their needs, so they can gain a competitive advantage,” he said.
In addition, he said Seldon’s open-source model means that companies are not locked-in: “They want to avoid locking as well they want to use tools from various different vendors. So this kind of intersection between machine learning, DevOps and cloud-native tooling is really accelerating a lot of innovation across enterprise and also within startups and growth-stage companies.”
Nadine Torbey, an investor at AlbionVC, added: “Seldon is at the forefront of the next wave of tech innovation, and the leadership team are true visionaries. Seldon has been able to build an impressive open-source community and add immediate productivity value to some of the world’s leading companies.”
Vin Lingathoti, partner at Cambridge Innovation Capital, said: “Machine learning has rapidly shifted from a nice-to-have to a must-have for enterprises across all industries. Seldon’s open-source platform operationalizes ML model development and accelerates the time-to-market by eliminating the pain points involved in developing, deploying and monitoring machine learning models at scale.”