Google today introduced a new mobile management and security solution, Android Enterprise Essentials, which, despite its name, is actually aimed at small to medium-sized businesses. The company explains this solution leverages Google’s experience in building Android Enterprise device management and security tools for larger organizations in order to come up with a simpler solution for those businesses with smaller budgets.

The new service includes the basics in mobile device management, with features that allow smaller businesses to require their employees to use a lock screen and encryption to protect company data. It also prevents users from installing apps outside the Google Play Store via the Google Play Protect service, and allows businesses to remotely wipe all the company data from phones that are lost or stolen.

As Google explains, smaller companies often handle customer data on mobile devices, but many of today’s remote device management solutions are too complex for small business owners, and are often complicated to get up-and-running.

Android Enterprise Essentials attempts to make the overall setup process easier by eliminating the need to manually activate each device. And because the security policies are applied remotely, there’s nothing the employees themselves have to configure on their own phones. Instead, businesses that want to use the new solution will just buy Android devices from a reseller to hand out or ship to employees with policies already in place.

Though primarily aimed at smaller companies, Google notes the solution may work for select larger organizations that want to extend some basic protections to devices that don’t require more advanced management solutions. The new service can also help companies get started with securing their mobile device inventory, before they move up to more sophisticated solutions over time, including those from third-party vendors.

The company has been working to better position Android devices for use in workplace over the past several years, with programs like Android for Work, Android Enterprise Recommended, partnerships focused on ridding the Play Store of malware, advanced device protections for high-risk users, endpoint management solutions, and more.

Google says it will roll out Android Enterprise Essentials initially with distributors Synnex in the U.S. and Tech Data in the U.K. In the future, it will make the service available through additional resellers as it takes the solution global in early 2021. Google will also host an online launch event and demo in January for interested customers.

One of the areas that is often left behind when it comes to cloud computing is the industrial sector. That’s because these facilities often have older equipment or proprietary systems that aren’t well suited to the cloud. Amazon wants to change that, and today the company announced a slew of new services at AWS re:Invent aimed at helping the industrial sector understand their equipment and environments better.

For starters, the company announced Amazon Monitron, which is designed to monitor equipment and send signals to the engineering team when the equipment could be breaking down. If industrial companies can know when their equipment is breaking, it allows them to repair on it their own terms, rather than waiting until after it breaks down and having the equipment down at what could be an inopportune time.

As AWS CEO Andy Jassy says, an experienced engineer will know when equipment is breaking down by a certain change in sound or a vibration, but if the machine could tell you even before it got that far, it would be a huge boost to these teams.

“…a lot of companies either don’t have sensors, they’re not modern powerful sensors, or they are not consistent and they don’t know how to take that data from the sensors and send it to the cloud, and they don’t know how to build machine learning models, and our manufacturing companies we work with are asking [us] just solve this [and] build an end-to-end solution. So I’m excited to announce today the launch of Amazon Monotron, which is an end-to-end solution for equipment monitoring,” Jassy said.

The company builds a machine learning model that understands what a normal state looks like, then uses that information to find anomalies and send back information to the team in a mobile app about equipment that needs maintenance now based on the data the model is seeing.

For those companies who may have a more modern system and don’t need the complete package that Monotron offers, Amazon has something for these customers as well. If you have modern sensors, but you don’t have a sophisticated machine learning model, Amazon can ingest this data and apply its machine learning algorithms to find anomalies just as it can with Monotron.

“So we have something for this group of customers as well to announce today, which is the launch of Amazon Lookout for Equipment, which does anomaly detection for industrial machinery,” he said.

In addition, the company announced the Panorama Appliance for companies using cameras at the edge who want to use more sophisticated computer vision, but might not have the most modern equipment to do that. “I’m excited to announce today the launch of the AWS Panorama Appliance which is a new hardware appliance [that allows] organizations to add computer vision to existing on premises smart cameras,” Jassy told AWS re:Invent today.

In addition, it also announced a Panorama SDK to help hardware vendors build smarter cameras based on Panorama.

All of these services are designed to give industrial companies access to sophisticated cloud and machine learning technology at whatever level they may require depending on where they are on the technology journey.

Materialize, the SQL streaming database startup built on top of the open-source Timely Dataflow project, announced a $32 million Series B investment led by Kleiner Perkins, with participation from Lightspeed Ventures.

While it was at it, the company also announced a previously unannounced $8 million Series A from last year, led by Lightspeed, bringing the total raised to $40 million.

These firms see a solid founding team that includes CEO Arjun Narayan, formerly of Cockroach Labs, and chief scientist Frank McSherry, who created the Timely Dataflow project on which the company is based.

Narayan says that the company believes fundamentally that every company needs to be a real-time company, and it will take a streaming database to make that happen. Further, he says the company is built using SQL because of its ubiquity, and the founders wanted to make sure that customers could access and make use of that data quickly without learning a new query language.

“Our goal is really to help any business to understand streaming data and build intelligent applications without using or needing any specialized skills. Fundamentally what that means is that you’re going to have to go to businesses using the technologies and tools that they understand, which is standard SQL,” Narayan explained.

Bucky Moore, the partner at Kleiner Perkins leading the B round, sees this standard querying ability as a key part of the technology. “As more businesses integrate streaming data into their decision-making pipelines, the inability to ask questions of this data with ease is becoming a non-starter. Materialize’s unique ability to provide SQL over streaming data solves this problem, laying the foundation for them to build the industry’s next great data platform,” he said.

They would naturally get compared to Confluent, a streaming database built on top of the Apache Kafka open-source streaming database project, but Narayan says his company uses straight SQL for querying, while Confluent uses its own flavor.

The company still is working out the commercial side of the house and currently provides a typical service offering for paying customers with support and a service agreement (SLA). The startup is working on a SaaS version of the product, which it expects to release some time next year.

They currently have 20 employees with plans to double that number by the end of next year as they continue to build out the product. As they grow, Narayan says the company is definitely thinking about how to build a diverse organization.

He says he’s found that hiring in general has been challenging during the pandemic, and he hopes that changes in 2021, but he says that he and his co-founders are looking at the top of the hiring funnel because otherwise, as he points out, it’s easy to get complacent and rely on the same network of people you have been working with before, which tends to be less diverse.

“The KPIs and the metrics we really want to use to ensure that we really are putting in the extra effort to ensure a diverse sourcing in your hiring pipeline and then following that through all the way through the funnel. That’s I think the most important way to ensure that you have a diverse [employee base], and I think this is true for every company,” he said.

While he is working remotely now, he sees having multiple offices with a headquarters in NYC when the pandemic finally ends. Some employees will continue to work remotely, with the majority coming into one of the offices.

We are hearing that a COVID-19 vaccine could be on the way sooner than later, and that means we could be returning to normal life some time in 2021. That’s the good news. The perplexing news, however, is that each time some positive news emerges about a vaccine — and believe me I’m not complaining — Wall Street punishes stocks it thinks benefits from us being stuck at home. That would be companies like Zoom and Peloton.

While I’m not here to give investment advice, I’m confident that these companies are going to be fine even after we return to the office. While we surely pine for human contact, office brainstorming, going out to lunch with colleagues and just meeting and collaborating in the same space, it doesn’t mean we will simply return to life as it was before the pandemic and spend five days a week in the office.

One thing is clear in my discussions with startups born or growing up during the pandemic: They have learned to operate, hire and sell remotely, and many say they will continue to be remote-first when the pandemic is over. Established larger public companies like Dropbox, Facebook, Twitter, Shopify and others have announced they will continue to offer a remote-work option going forward. There are many other such examples.

It’s fair to say that we learned many lessons about working from home over this year, and we will carry them with us whenever we return to school and the office — and some percentage of us will continue to work from home at least some of the time, while a fair number of businesses could become remote-first.

Wall Street reactions

On November 9, news that the Pfizer vaccine was at least 90% effective threw the markets for a loop. The summer trade, in which investors moved capital from traditional, non-tech industries and pushed it into software shares, flipped; suddenly the stocks that had been riding a pandemic wave were losing ground while old-fashioned, even stodgy, companies shot higher.

When you launch an application in the public cloud, you usually put everything on one provider, but what if you could choose the components based on cost and technology and have your database one place and your storage another?

That’s what Cast.ai says that it can provide, and today it announced a healthy $7.7 million seed round from TA Ventures, DNX, Florida Funders and other unnamed angels to keep building on that idea. The round closed in June.

Company CEO and co-founder Yuri Frayman says that they started the company with the idea that developers should be able to get the best of each of the public clouds without being locked in. They do this by creating Kubernetes clusters that are able to span multiple clouds.

“Cast does not require you to do anything except for launching your application. You don’t need to know  […] what cloud you are using [at any given time]. You don’t need to know anything except to identify the application, identify which [public] cloud providers you would like to use, the percentage of each [cloud provider’s] use and launch the application,” Frayman explained.

This means that you could use Amazon’s RDS database and Google’s ML engine, and the solution decides how to make that work based on your requirements and price. You set the policies when you are ready to launch and Cast will take care of distributing it for you in the location and providers that you desire, or that makes most sense for your application.

The company takes advantage of cloud-native technologies, containerization and Kubernetes to break the proprietary barriers that exist between clouds, says company co-founder Laurent Gil. “We break these barriers of cloud providers so that an application does not need to sit in one place anymore. It can sit in several [providers] at the same time. And this is great for the Kubernetes application because they’re kind of designed with this [flexibility] in mind,” Gil said.

Developers use the policy engine to decide how much they want to control this process. They can simply set location and let Cast optimize the application across clouds automatically, or they can select at a granular level exactly the resources they want to use on which cloud. Regardless of how they do it, Cast will continually monitor the installation and optimize based on cost to give them the cheapest options available for their configuration.

The company currently has 25 employees with four new hires in the pipeline, and plans to double to 50 by the end of 2021. As they grow, the company is trying keep diversity and inclusion front and center in its hiring approach; they currently have women in charge of HR, marketing and sales at the company.

“We have very robust processes on the continuous education inside of our organization on diversity training. And a lot of us came from organizations where this was very visible and we took a lot of those processes [and lessons] and brought them here,” Frayman said.

Frayman has been involved with multiple startups, including Cujo.ai, a consumer firewall startup that participated in TechCrunch Disrupt Battlefield in New York in 2016.