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Amazon Web Services (AWS) has announced some notable new natural language querying capabilities that enable non-analysts to forecast future business outcomes.

By way of a quick recap, AWS first introduced its QuickSight business intelligence service back in 2015, allowing customers to visualize their data through dashboards and reports without requiring the technical prowess of a developer. Fast-forward to 2020, and AWS introduced natural language queries to the mix via QuickSight Q, enabling users to find answers simply by typing plain-English questions into a search bar, such as “show me this month’s sales by segment.”

Todays’ announcement builds on that, by serving answers to future-gazing questions.

ML-powered forecasting with Q, as AWS CEO Adam Selipsky referred to the new feature on stage at AWS re:Invent today, allows users to view business performance forecasts without involving any analysts or data scientists. All they have to do is enter “forecast” or “show me a forecast” into the search bar, followed by up to three metrics (e.g. “sales”), and Q will deliver the appropriate visualizations for that query.

On top of that, users can include filters, for example if they want to see sales for a specific region over a specific timeframe.

Additionally, QuickSight Q will also now support natural language “why” questions, allowing non-analysts to drill down into the data and figure out what factors led to a particular outcome.

For example, if a graph shows that enrolment in a course dropped, the user might also want to know why it dropped. So they would start such a query with the word “why,” and then follow it up with a metric and a timeframe. In this case, the question could be: “Why did enrollment drop in 2021“?

Both forecasting and “why” questions are available to users from today.

AWS now supports natural language forecasting queries in QuickSight Q by Paul Sawers originally published on TechCrunch

At this morning’s Re:Invent keynote in Las Vegas, Amazon unveiled AWS SimSpace Weaver, a computing service that allows developers to run city-sized simulations at scale in the cloud. The service is designed to free simulation developers from the constraints of their own hardware.

Amazon’s proposed applications here are city managers simulating a natural disaster to test emergency response systems, as well the impact of sports games on traffic flow. These are complex situations with a lot of moving parts, which shouldn’t require watching a real life instance to gain insight. Among the other advantages to running this in the cloud is the ability to have multiple external parties view and interact with the simulation remotely in real-time.

“Simulating these events requires modeling hundreds of thousands of independent dynamic entities to represent the people and vehicles,” AWS Principal Developer Advocate, Marcia Villalba, notes in a blog post. “Each entity has its own set of behaviors that need to be modeled as it moves throughout the world and interacts with other entities. Simulating this at a real-world scale requires CPU and memory beyond what you can have in one instance.”

The system works by portioning the space into instances and partions, creating the kind of grip design you see above. SimSpace Weaver’s data replication system manages memory management and networking for transferring entities across partitions. The company notes that, while SimSpace Weaver is not, itself a simulator. Instead, it creates a basis on which a simulator can be built across instances, effectively weaving (hence the name) multiple instances together into a single experience.

Unity and Unreal Engine 5 developers can access the system through SimSpace Weaver plug-ins. It’s available starting today in the U.S. East, U.S. West, Asia-Pacific and Europe AWS Regions. There’s no licensing fee, instead the pricing depends on the number of instances a developer integrates into the simulation.

AWS SimSpace Weaver can run city-sized simulations in the Cloud by Brian Heater originally published on TechCrunch

AWS today launched a new service that will help users inside an advertising or marketing organization share data with other employees inside their company or with outside partners, all without running the risk of inadvertently sharing personal data.

This new service is part of Amazon’s new AWS for Advertising & Marketing initiative, which aims to leverage existing AWS services — and those from its partners — to provide purpose-built services for them. Clean Rooms is the first major new product of this initiative.

“Data clean rooms are protected environments where multiple parties can analyze combined data without ever exposing the raw data have emerged as a solution,” AWS CEO Adam Selipsky explained in today’s keynotes. “The clean rooms are hard to build. Their complex requirements take months to develop and once you’ve built a clean room you have to continuously update the data all the while meeting requests for new collaborators and data types.”

A company that has a customer’s loyalty data, for example, could collaborate with another that has data on a user’s ad-clicking behavior to create new insights into a user’s behavior, all without every sharing that user’s raw and identifiable data, Selipsky argued.

“With these insights, we can produce even more relevant ads while maintaining privacy for everyone to get started,” he said. “Brands and media publishers use the clean room console or the API and they set up a clean room and start collaborating with other companies in just a few clicks. So instead of spending months of development time to customize the types of queries and restrictions, you just need to allow partners to run these clean rooms with you.”

The idea here is to provide a single service that companies can use to collaborate on data while still protecting the underlying data, using a set of configurable controls. All collaborators can contribute their own data, be it in plain text, hashed, or pre-encrypted. Then, they can use these clean rooms to collaborate on this data, all without revealing the raw data to each other.

In total, there can be up to five collaborators and their data is stored in an AWS Glue Data Catalog. When anyone runs a query over this data, Clean Rooms will read it, wherever it lives, and then the service will automatically apply the pre-set rules to protect each participant’s raw data. Each table can have its own rules, which restrict the type of query that is allowed. Encrypted data will remain encrypted when these queries are run.

“Customers in the advertising and marketing industry have been seeking new ways to interoperate with their partners while protecting consumer data and reducing heavy lifting from their engineering teams,” said Tim Barnes, director of solutions for advertising & marketing technology at AWS. “With the launch of AWS Clean Rooms and AWS for Advertising & Marketing, AWS customers now have a broad set of solutions that make it easier for them to securely collaborate together, operate cost-effectively at petabyte scale and millisecond latency, and innovate more quickly in areas like advertising measurement and customer experience.”

AWS gets data clean rooms for analytics data by Frederic Lardinois originally published on TechCrunch

Over the last several years, we’ve seen supply chain disruptions the likes of which we haven’t seen previously. The pandemic led to a series of issues that spiraled into a full-blown supply chain crisis.

Amazon wants to put AWS technology to work on the problem, and today the company announced a new supply chain solution at AWS re:Invent in Las Vegas.

AWS CEO Adam Selipsky talked about the supply chain disruptions in today’s keynote. “The last few years have highlighted the importance of supply chain resilience from baby formula shortages to ships circling ports unable to unload, the disruptions have been widespread. Addressing supply chain issues around inventory is especially critical,” he said.

And that is an area where the company wants to put its strengths to work with a new solution called AWS Supply Chain.

“So today I am thrilled to announce the preview of AWS Supply Chain, a new cloud application that improves supply chain visibility, delivers actionable insights to help customers mitigate supply chain risks and lower costs. With AWS Supply Chain you get a unified view of your supply chain data, ML-powered insights, recommended actions and built-in collaboration capabilities, so you can react quickly to unexpected issues,” Selipsky explained.

Selipsky says that the solution is designed to strip away the complexity associated with managing this kinds of data. “First, with just a few clicks you connect your supply chain data from SAP, EDI or other sources like warehouse management or order management systems. Then AWS Supply Chain automatically sets up a data lake using ML models that have been pre-trained to understand, extract and transform disparate incompatible data into a unified data model.”

It then lets you display your supply chain data on a map, and drill down on specific locations to find where inventory is and how you can eliminate issues in any particular location, all while communicating with supply chain managers across your organization from the same tool.

“AWS supply chain helps you mitigate risk and lower cost by giving you a unified supply chain and surfacing the best actionable insights all with a single pricing and no upfront licensing fees,” he said — and he promised as is often the case with AWS annoucements, this is just the start.

Over time the company plans to add additional functionality and linkages. “And this is just the beginning. We’re going to continue to invest here and work to solve your hardest supply chain problems,” he said.

AWS Supply Chain is available in preview starting today.

Amazon introduces AWS Supply Chain to help bring order to supply chain chaos by Ron Miller originally published on TechCrunch

This time two years ago, I changed up my annual gift guide feature’s focus from travel to working from home. After all, very few of us were doing much traveling at the time. I planned to switch back as the world reopened; it’s clear now, however, that for many of us, there is no going back to the before times.

The pandemic has had a number of lasting impacts in our lives, including how – and where – we work. But the transition from the office to home requires more than simply choosing not to get on that train every morning.

Creating a home office is a deliberate act. At its center is building a space where it’s possible to be every bit as productive in the absence of in-face meetings and awkward break room conversations. You need to build a place that will sufficiently separate work life from the personal for eight to 10 hours a day.

Here’s a handy gift guide for the person in life who needs a little extra push into that – or perhaps requires a refresh on some of the gear they purchased early into the pandemic.

This article contains links to affiliate partners where available. When you buy through these links, TechCrunch may earn an affiliate commission

1. Mac Studio

This thing is a beast. This is that money-is-no-object gift to really, properly transform that spare room into a home office. There are far less expensive options out there – including several from Apple – but the Mac Studio is a beautiful and wildly powerful desktop.

And hey, while you’re picking up that little square computer, why not shell out for the $1,599 27-inch 5K Studio Display? It’s a heck of a one-two combo – though fair warning, the Studio Display’s webcam continues to be lacking for a system at that price point. Aside from that, picking up one of these will make you never want to go into the office (or, perhaps, leave the house) ever again.

Price: Mac Studio $1,999, Studio Display $1,599

Available from: Apple

2. Opal C1

Speaking of webcams, I continue to get a lot of compliments on the picture quality from the Opal C1. The startup’s hardware had great image quality out of the gate that nearly rivaled a desktop DSLR, and subsequent software updates have only made things better. The company has worked out most of the beta bugs, with firmware that will work with all the major teleconferencing platforms and tweaks to image quality that make this is a hard one to beat.

Also worth a look is the Insta360 Link. The webcam is priced the same at $300, but the clever gimbal base makes for more dynamic shot tracking. That’s great for those who like to move around a bit more during remote meetings.

Price: $300

Available from: Opal

3. Shure MV7

I love this mic. I asked Shure to send me one for gift guide testing purposes and wound up writing a bit of a love letter to the thing in the meantime. As I shifted from in-person to remote podcasting during the pandemic, I’ve spent a lot of time trying to find the perfect USB mic. With design and sound-quality to rival its famous XLR counterparts, the directional MV7 is going to be a hard one to beat.

I recently recorded an NPR interview on the thing, and have turned it into my day-to-day teleconferencing microphone. It’s about as close as you’ll get to plug and play at this level, and the sound rivals studio quality recordings. Honestly, I can’t say enough good things about it. Pair this with the Opal cam and wow everyone on that Zoom call.

Price: $225
Available from: Amazon

4. Google Nest WiFi Pro

The Google Nest WiFi Pro is a bit of an odd duck. Like some of the products above, it’s super easy to use. After years of wildly complicated router installs, it’s a breath of fresh air. Setup is effectively as easy as getting a smart speaker up and running. Also like the above, it may be a lot more powerful than most need. The system supports extremely fast download speeds via WiFi 6E – and there’s a good chance your existing ISP is going to be the biggest bottleneck.

I’ve happily ditched my ISP’s hardware for one and haven’t looked back. It’s reasonably priced at $200 (larger homes may want to go the mesh route with the two- or three-device bundle) and designed to blend in with its surroundings, much like the rest of the Nest line.

Price: $200
Available from: Google

5. Sony WH-1000XM5

Unless you live alone in the middle of nowhere, a good pair of noise canceling headphones are a must — and over ear models don’t come better than this. Sony continues to be my top pick in the category, courtesy of sound quality, comfort, battery life and active noise canceling. And bonus: when it’s time to get back on the road, these are a perfect carryon companion.

Price: $350
Available from: Amazon

6. Satechi Accessories

I love me a good Satechi accessory. The company makes clever, well designed products that blend in well with their surroundings.

The 2-in-1 Headphone Stand With Wireless Charger is a particularly good desktop companion. The bar up top gives you a place to keep the over-ear headphones, with a USB-C port in the rear to keep them charged up. Below is a MagSafe compatible wireless charging pad for your iPhone or AirPods.

The 3-in-1 Magnetic Charging stand is a bit pricier. It’s great way to charge up the iPhone, AirPods and Apple Watch in one fell swoop. The MagSafe pad is also designed to keep the phone upright, so you can continue to use it while topping up the battery.

Price: 2-in1 Headphone Stand With Wireless, $80 | 3-IN-1 Magnetic Wireless Charging Stand, $120
Available from: Satechi

7. Keychron Q5 QMK Custom Mechanical Keyboard

I asked my friend (and fellow TechCruncher) Frederic to recommend a nice, accessible mechanical keyboard for my work from home guide. He recommended the Keychron Q5 QMK Custom Mechanical Keyboard. The accessory is customizable, but it’s nothing too fancy, just a great feeling, terrific sounding, well-priced mechanical keyboard that will help your loved one reconnect with the joys of typing.

Price: $200
Available from: Keychron

8. Coway Airmega AP-1512HH Mighty

How about the person who seems to otherwise have their office in order? No one has ever regetted bringing a high-quality air purifier into their house. There are a lot of overpriced products and quite a bit of snake oil in this category, but the Coway Airmega AP-1512HH Mighty is a reasonably priced powerhouse. This HEPA filter is designed to cleaning a space up to to 874 sq. ft. in around half an hour, promising to reduce 99.999% of 0.01-micron particles.

In addition to removing pollen and odors, there’s a built in pollution sensor that showcases a room’s air quality in real time. It’s hard to imagine a better gift than the gift of breathable air.

Price: $220
Available from:Amazon

8 Great gifts for anyone working from home by Brian Heater originally published on TechCrunch

AWS introduced Contact Center, its customer service oriented product some years ago, putting it smack dab in the middle of enterprise applications. It also places the company in the position of competing directly with the likes of Salesforce and other established enterprise SaaS vendors.

When you are competing in that space, you need some powerful features, and today at AWS re:invent in Las Vegas, AWS CEO Adam Selipsky introduced three features to help bring more automation to managing Amazon Contact Centers running on AWS.

For starters, the company is introducing new performance management capabilities under Contact Lens for Amazon Connect designed to help managers identify CSAs who are having issues. The solution uses a combination of performance review forms and machine learning-driven voice analytics to review job performance.

In reality, it’s supposed to help identify agents who might need additional training or coaching. “These reduce the time the contact center managers spend identifying performance issues and helping to coach agents,” Selipsky explained today. Employees could see it differently (the bot says I didn’t answer correctly).

Somewhat along the same lines, AWS is also introducing a new capability to guide agents through customer interaction so they can resolve issues faster and in a more consistent manner. This should help reduce the number of mistakes, and the need for the prior feature (at least in theory).

The company also announced the general availability of Amazon Connect forecasting, which was originally announced in March this year. It’s designed to help contact center managers optimize agent schedules and ensure that they have the right people available.

“Connect is a great example of how the cloud is removing constraints to reimagine business challenges like delivering better customer service,” Selipsky said, something that SaaS companies have known all along, but for AWS, which tends to concentrate on infrastructure and platform pieces, it is a different approach.

AWS adds automated agent monitoring to Amazon Contact Center by Ron Miller originally published on TechCrunch

NASA’s plan to decommission and deorbit the International Space Station (ISS) by 2031 creates another collaborative, multinational opportunity to provide a persistent orbital presence. Yet, the path to achieving that goal remains unclear.

Here’s the rub. No one knows exactly what that presence looks like, how it should be built, who would run it and how it would make money. These complex questions are why we’re thrilled that Blue Origin’s Shahir Gerges, director of business strategy for Orbital Reef, will join us for a fireside chat onstage at TC Sessions: Space on December 6.

These aren’t issues for engineers and astronauts to solve, although they must be involved in the discussion. Instead, it will take far-sighted business leaders who see where the market is headed. They’ll also need to build a compelling case for how a phenomenally expensive expedition, like a long-term space station, can reasonably be expected to pay for itself over a 10-year period.

What, who and how much will it take to build a safe, thriving commercial space economy? What can and should the world expect from privately operated successors to the ISS?

In a session called “Space Station Shake-up,” Gerges, an expert in the realm of commercial space stations, will share his perspective. Be in the room to hear what this space ace has to say about that and more.

Shahir Gerges serves as the director of business strategy for Orbital Reef, within Blue Origin. Orbital Reef is designed to be a mixed-use space station in low Earth orbit for commerce, research and tourism by the end of this decade. Focused on long-term financial sustainability for Orbital Reef, Gerges develops offerings to cultivate growth in new and emerging markets that would benefit from the on-orbit environment, including microgravity.

Before joining Blue Origin, Gerges worked as a strategy consultant at PricewaterhouseCoopers, where he advised industrial companies (including aerospace and defense) on market strategy decisions, internal operations strategy and multiple-deal due diligence. Gerges started his career at United Launch Alliance working in various engineering and strategy roles, as well as supporting government affairs.

Gerges holds a bachelor’s degree in aerospace engineering from Illinois Institute of Technology and an MBA from Georgetown University.

TC Sessions: Space takes place on December 6 in Los Angeles. Buy your pass today, join us to learn about the latest space economy trends, see cutting-edge technology, and network for opportunities to help you build a better, stronger startup.

Is your company interested in sponsoring or exhibiting at TC Sessions: Space? Contact our sponsorship sales team byfilling out this form.

Blue Origin’s Shahir Gerges discusses a post-ISS orbital economy at TC Sessions: Space by Lauren Simonds originally published on TechCrunch

Snapchat is adding a new privacy setting that enables users based in California to better protect their sensitive personal information. The company confirmed it’s rolling out a feature designed to comply with the California Privacy Rights Act (CPRA), which takes effect on Jan. 1, 2023, and applies to personal data collected on or after Jan. 1, 2022.

In November 2020, California residents voted to pass the CPRA, also known as Proposition 24, which builds on an earlier consumer privacy law, the California Consumer Privacy Act (CCPA) of 2018.

While the CCPA gave residents the right to access and delete personal information held by businesses and opt out of the sale of that data, the new law puts into place further requirements for businesses around their data collection practices and data retention. It additionally introduces new notification requirements and clarifies that users have the right to opt out of both the sharing and the sale of their personal information, while also adding a new category of “sensitive data.”

The law created the California Privacy Protection Agency to enforce the state’s privacy laws, as well as investigate violations, and assess penalties if warranted.

Consumers based in California, meanwhile, are to gain the right to not only know who’s collecting their information, but also be able to access it, correct it, delete it and transfer it, and to stop its sale and sharing, without being penalized as a result. As part of this, they’re also to gain the ability to access their options through “easily accessible” self-serve tools.

Snapchat’s implementation would seemingly address the latter as it presents a simple toggle switch under its Privacy Controls section in the app’s Settings screen. Here, users will be presented with a new option at the bottom of the list that reads “California Privacy Choices.”

A tap into this screen, (as spotted by competitive intelligence provider Watchful — see below image) reveals a new option to “Limit the Use of Sensitive Personal Information.” This page explains that enabling the setting would require Snapchat to limit the use of users’ personal info, including things like precise geolocation.

The setting, however, is appearing in the Snapchat app for all U.S. users — even those who don’t live in the state.

Snapchat confirmed the new privacy feature is rolling out in compliance with the CPRA, but notes it only functions for those users in California.

The addition is interesting as it demonstrates how a popular mobile app has chosen to comply with the new legislation. And unlike on Facebook — where settings are buried, difficult to find, and constantly being relocated — Snapchat’s new privacy feature is relatively easy to find. All of the app’s settings are available from one main screen, organized into sections. So the new CPRA-compliant setting isn’t something users have to dig around to find.

Snapchat complies with the California Privacy Rights Act with a new toggle switch for users by Sarah Perez originally published on TechCrunch

Crypto lending platform BlockFi filed for Chapter 11 bankruptcy on Monday, just a few weeks after once-major crypto exchange FTX did the same. While BlockFi has been struggling to stay afloat for months now (and was even potentially going to be acquired by FTX), this latest filing signals that the bankruptcy contagion may run deeper than what the crypto industry sees at the surface.

“It is another example that the crypto winter is not over, and with the FTX debacle, it’s going to persist longer than previously expected,” Ric Edelman, founder of Digital Assets Council of Financial Professionals (DACFP) and author of “The Truth About Crypto,” said to TechCrunch.

With BlockFi now in the midst of bankruptcy proceedings alongside FTX, Celsius, Three Arrows Capital and Voyager, others in the crypto space are wondering if and when the next crypto firm will find itself on the chopping block.

“The level of intercompany investment within the blockchain and crypto community is unusually high, so the level of contagion is likely to be much higher than what we saw within the traditional financial community in 2008-2009,” Sam Dibble, partner at Baker Botts, said to TechCrunch.

“Unfortunately, the complexity of these intercompany investments is not fully known at this point and so the companies themselves probably don’t know how badly they will be impacted,” Dibble added. “My guess is that the entire industry will be impacted somewhat by the FTX and BlockFi bankruptcies, with a significant number of severe casualties.”

As BlockFi files for bankruptcy, how contagious will FTX’s downfall become? by Jacquelyn Melinek originally published on TechCrunch

At its re:Invent conference, AWS today announced Amazon DataZone, a new data management service that can help enterprises catalog, discover, share and — most importantly — govern their data. The nifty part here is that AWS is using machine learning to help businesses build these data catalogs and generate the metadata to make it searchable.

“To unlock the full power the full value of data, we need to make it easy for the right people and applications to find, access and share the right data when they need it — and to keep data safe and secure.” AWS CEO Adam Selipsky said in today’s keynote.

The tool will provide users with fine-graned controls to manage and govern this data. That’s long been a major problem for enterprises, but it has only gotten harder as the amount of data has increased, ensuring that the right users have access to the right data, without compromising personally identifiable information, for example.

“Data zone enables you to set data free throughout the organization safely by making it easy for admins and data stewards to manage and govern access to data,” Selipsky explained. “And it makes it easy for data engineers, data scientists, product managers, analysts and other business users to discover, use and collaborate around that data to drive insights for your businesses.”

DataZone users will get access to a portal where they can set up their data catalog and define the taxonomy. Once DataZone is connected to a data source, it’ll use machine learning to populate its catalog with its metadata and users can add additional labels and descriptions as needed.

In a somewhat related announcement, AWS also yesterday launched its Digital Sovereignty Pledge, promising to give users the tools they need to control where their data is stored and accessed. DataZone does offer some of those controls, though its focus is obviously not on digital sovereignty.

AWS launches DataZone, a new ML-based data management service by Frederic Lardinois originally published on TechCrunch