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AWS expands on SageMaker capabilities with end-to-end features for machine learning

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Nearly three years after it was first launched, Amazon Web Services’ SageMaker platform has gotten a significant upgrade in the form of new features, making it easier for developers to automate and scale each step of the process to build new automation and machine learning capabilities, the company said.

As machine learning moves into the mainstream, business units across organizations will find applications for automation, and AWS is trying to make the development of those bespoke applications easier for its customers.

“One of the best parts of having such a widely adopted service like SageMaker is that we get lots of customer suggestions which fuel our next set of deliverables,” said AWS vice president of machine learning, Swami Sivasubramanian. “Today, we are announcing a set of tools for Amazon SageMaker that makes it much easier for developers to build end-to-end machine learning pipelines to prepare, build, train, explain, inspect, monitor, debug and run custom machine learning models with greater visibility, explainability and automation at scale.”

Already companies like 3M, ADP, AstraZeneca, Avis, Bayer, Capital One, Cerner, Domino’s Pizza, Fidelity Investments, Lenovo, Lyft, T-Mobile and Thomson Reuters are using SageMaker tools in their own operations, according to AWS.

The company’s new products include Amazon SageMaker Data Wrangler, which the company said was providing a way to normalize data from disparate sources so the data is consistently easy to use. Data Wrangler can also ease the process of grouping disparate data sources into features to highlight certain types of data. The Data Wrangler tool contains more than 300 built-in data transformers that can help customers normalize, transform and combine features without having to write any code.

Amazon also unveiled the Feature Store, which allows customers to create repositories that make it easier to store, update, retrieve and share machine learning features for training and inference.

Another new tool that Amazon Web Services touted was Pipelines, its workflow management and automation toolkit. The Pipelines tech is designed to provide orchestration and automation features not dissimilar from traditional programming. Using pipelines, developers can define each step of an end-to-end machine learning workflow, the company said in a statement. Developers can use the tools to re-run an end-to-end workflow from SageMaker Studio using the same settings to get the same model every time, or they can re-run the workflow with new data to update their models.

To address the longstanding issues with data bias in artificial intelligence and machine learning models, Amazon launched SageMaker Clarify. First announced today, this tool allegedly provides bias detection across the machine learning workflow, so developers can build with an eye toward better transparency on how models were set up. There are open-source tools that can do these tests, Amazon acknowledged, but the tools are manual and require a lot of lifting from developers, according to the company.

Other products designed to simplify the machine learning application development process include SageMaker Debugger, which enables developers to train models faster by monitoring system resource utilization and alerting developers to potential bottlenecks; Distributed Training, which makes it possible to train large, complex, deep learning models faster than current approaches by automatically splitting data across multiple GPUs to accelerate training times; and SageMaker Edge Manager, a machine learning model management tool for edge devices, which allows developers to optimize, secure, monitor and manage models deployed on fleets of edge devices.

Last but not least, Amazon unveiled SageMaker JumpStart, which provides developers with a searchable interface to find algorithms and sample notebooks so they can get started on their machine learning journey. The company said it would give developers new to machine learning the option to select several pre-built machine learning solutions and deploy them into SageMaker environments.

Lyron Foster is a Hawaii based African American Musician, Author, Actor, Blogger, Filmmaker, Philanthropist and Multinational Serial Tech Entrepreneur.

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Clubhouse announces plans for creator payments and raises new funding led by Andreessen Horowitz

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Buzzy live voice chat app Clubhouse has confirmed that it has raised new funding – without revealing how much – in a Series B round led by Andreessen Horowitz through the firm’s partner Andrew Chen. The app was reported to be raising at a $1 billion valuation in a report from The Information that landed just before this confirmation. While we try to track down the actual value of this round and the subsequent valuation of the company, what we do know is that Clubhouse has confirmed it will be introducing products to help creators on the platform get played, including subscriptions, tipping and ticket sales.

This funding round will also support a ‘Creator Grant Program’ being set up by Clubhouse, which will be used to “support emerging Clubhouse creators” according to the startup’s blog post. While the app has done a remarkable job attracting creator talent, including high-profile celebrity and political users, directing revenue towards creators will definitely help spur sustained interest, as well as more time and investment from new creators who are potentially looking to make a name for themselves on the platform, similar to YouTube and TikTok influencers before them.

Of course, adding monetization for users also introduces a method for Clubhouse itself to monetize. The platform is free to all users, and doesn’t yet offer any kind of premium plan or method of charging users, nor is it ad-supported. Adding ways for users to pay other users provides an opportunity for Clubhouse to retain a cut for its services.

The plans around monetization routes for creators appear to be relatively open-ended at this point, with Clubhouse saying it’ll be launching “first tests” around each of the three areas it mentions (tipping, tickets and subscriptions) over the “next few months.” It sounds like these could be similar to something like a Patreon built right into the platform. Tickets are a unique option that would go well with Clubhouse’s more formal roundtable discussions, and could also be a way that more organizations make use of the platform for hosting virtual events.

The startup also announced that it will be starting work on its Android app (it’s been iOS only for now) and that it will also invest in more backend scaling to keep up with demand, as well as support team growth and tools for detecting and prevuing abuse. Clubhouse has come under fire for its failure in regards to moderation and prevention of abuse in the past, so this aspect of its product development will likely be closely watched. The platform will also see changes to discovery aimed at surfacing relevant users, groups (‘clubs’ in the app’s parlance) and rooms.

During a regular virtual town hall the app’s founders host on the platform, CEO Paul Davison revealed that Clubhouse now has 2 million weekly active users. It’s also worth noting that Clubhouse says it now has “over 180 investors” in the company, which is a lot for a Series B – though many of those are likely small, independent investors with very little stake.

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SpaceX sets new record for most satellites on a single launch with latest Falcon 9 mission

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SpaceX has set a new all-time record for the most satellites launched and deployed on a single mission, with its Transporter-1 flight on Sunday. The launch was the first of SpaceX’s dedicated rideshare missions, in which it splits up the payload capacity of its rocket among multiple customers, resulting in a reduced cost for each but still providing SpaceX with a full launch and all the revenue it requires to justify lauding one of its vehicles.

The launch today included 143 satellites, 133 of which were from other companies who booked rides. SpaceX also launched 10 of its own Starlink satellites, adding to the already more than 1,000 already sent to orbit to power SpaceX’s own broadband communication network. During a launch broadcast last week, SpaceX revealed that it has begun serving beta customers in Canada and is expanding to the UK with its private pre-launch test of that service.

Customers on today’s launch included Planet Labs, which sent up 48 SuperDove Earth imaging satellites; Swarm, which sent up 36 of its own tiny IoT communications satellites, and Kepler, which added to its constellation with eight more of its own communication spacecraft. The rideshare model that SpaceX now has in place should help smaller new space companies and startups like these build out their operational on-orbit constellations faster, complementing other small payload launchers like Rocket Lab, and new entrant Virgin Orbit, to name a few.

This SpaceX launch was also the first to deliver Starlink satellites to a polar orbit, which is a key part of the company’s continued expansion of its broadband service. The mission also included a successful landing and recovery of the Falcon 9 rocket’s first-stage booster, the fifth for this particular booster, and a dual recovery of the fairing halves used to protect the cargo during launch, which were fished out of the Atlantic ocean using its recovery vessels and will be refurbished and reused.

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Watch SpaceX’s first dedicated rideshare rocket launch live, carrying a record-breaking payload of satellites

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SpaceX is set to launch the very first of its dedicated rideshare missions – an offering it introduced in 2019 that allows small satellite operators to book a portion of a payload on a Falcon 9 launch. SpaceX’s rocket has a relatively high payload capacity compared to the size of many of the small satellites produced today, so a rideshare mission like this offers smaller companies and startups a chance to get their spacecraft in orbit without breaking the bank. Today’s attempt is scheduled for 10 AM EST (7 AM PST) after a first try yesterday was cancelled due to weather. So far, weather looks much better for today.

The cargo capsule atop the Falcon 9 flying today holds a total of 143 satellites according to SpaceX, which is a new record for the highest number of satellites being launched on a single rocket – beating out a payload of 104 spacecraft delivered by Indian Space Research Organization’s PSLV-C37 launch back in February 2017. It’ll be a key demonstration not only of SpaceX’s rideshare capabilities, but also of the complex coordination involved in a launch that includes deployment of multiple payloads into different target orbits in relatively quick succession.

This launch will be closely watched in particular for its handling of orbital traffic management, since it definitely heralds what the future of private space launches could look like in terms of volume of activity. Some of the satellites flying on this mission are not much larger than an iPad, so industry experts will be paying close attention to how they’re deployed and tracked to avoid any potential conflicts.

Some of the payloads being launched today include significant volumes of startup spacecraft, including 36 of Swarm’s tiny IoT network satellites, and eight of Kepler’s GEN-1 communications satellites. There are also 10 of SpaceX’s own Starlink satellites on board, and 48 of Planet Labs’ Earth-imaging spacecraft.

The launch stream above should begin around 15 minutes prior to the mission start, which is set for 10 AM EST (7 AM PST) today.

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