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Vaayu’s carbon tracking for retailers raises $1.6M, claims it could cut CO2 in half by 2030
Carbon tracking is very much the new hot thing in tech, and we’ve previously covered more generalist startups doing this at scale for companies, such as Plan A Earth out of Berlin.
But there’s clearly an opportunity to get deep into a vertical sector and tailor solutions to it.
That’s the plan of Vaayu, a carbon tracking platform aimed specifically at retailers. It has now raised $1.57 million in pre-seed funding in a round led by CapitalT. Several angels also took part, including Atomico’s Angel Program, Planet Positive LP, Saarbrücker 21, Expedite Ventures and NP-Hard Ventures.
Carbon tracking for the retail fashion industry, in particular, is urgently needed. Unfortunately, the fashion industry remains responsible for 10% of annual global carbon emissions, which ads up to more than all international flights and maritime shipping combined.
Vaayu says it integrates with various point-of-sale systems, such as Shopify and Webflow. It then pulls in data on logistics, operations and packaging to monitor, measure and reduce their carbon emissions. Normally, retailers calculate emissions once a year, which is obviously far less accurate.
Vaayu was founded in 2020 by Namrata Sandhu (CEO), former head of Sustainability at fashion retailer Zalando, as well as Anita Daminov (CPO) and Luca Schmid (CTO). Vaayu currently has 25 global brand customers, including Missoma, Armed Angels and Organic Basics.
Commenting on the fundraise, Sandhu said: “We have only nine short years left to achieve the UN’s goal of reducing carbon emissions by 50% by 2030 and as the third-largest contributor to global emissions, retailers need to take action — and fast. Vaayu is here to help retailers measure, monitor, and reduce their carbon footprint at scale across the entire supply chain — something that I know from my own experience can be complex and expensive.”
Speaking to me over a call, Sandhu told me: “Putting the focus on retail basically allows us to automate the calculation, which means in three clicks you can get your carbon footprint right away. That then allows us to really get accurate data, and with that, we can basically do reductions specific to the business but using software, rather than any kind of manual intervention or a kind of ‘intermediate’ state where you need to put together an Excel sheet. Because we focus on retail we can automate the entire process and also automate the reductions.”
“We are delighted to be backed by female-led CapitalT who understood us and our vision right from the start. We look forward to developing Vaayu further in the coming months so we can reach as many retailers as possible and help put the brakes on the impending climate crisis,” she added.
Janneke Niessen, founding partner, CapitalT commented: “We are very excited to join Vaayu on their mission to reduce carbon emission for retailers worldwide. The Vaayu product is very scalable and its quick and easy implementation allows for fast adoption. We are confident that with this experienced team, Vaayu will soon be one of the fastest-growing climate tech companies in Europe and the world.”
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Edge Delta raises $15M Series A to take on Splunk
Seattle-based Edge Delta, a startup that is building a modern distributed monitoring stack that is competing directly with industry heavyweights like Splunk, New Relic and Datadog, today announced that it has raised a $15 million Series A funding round led by Menlo Ventures and Tim Tully, the former CTO of Splunk. Previous investors MaC Venture Capital and Amity Ventures also participated in this round, which brings the company’s total funding to date to $18 million.
“Our thesis is that there’s no way that enterprises today can continue to analyze all their data in real time,” said Edge Delta co-founder and CEO Ozan Unlu, who has worked in the observability space for about 15 years already (including at Microsoft and Sumo Logic). “The way that it was traditionally done with these primitive, centralized models — there’s just too much data. It worked 10 years ago, but gigabytes turned into terabytes and now terabytes are turning into petabytes. That whole model is breaking down.”
Image Credits: Edge Delta
He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. But that’s not real-time and also involves moving a lot of data from where it’s generated to a centralized warehouse. The promise of Edge Delta is that it can offer all of the capabilities of this centralized model by allowing enterprises to start to analyze their logs, metrics, traces and other telemetry right at the source. This, in turn, also allows them to get visibility into all of the data that’s generated there, instead of many of today’s systems, which only provide insights into a small slice of this information.
While competing services tend to have agents that run on a customer’s machine, but typically only compress the data, encrypt it and then send it on to its final destination, Edge Delta’s agent starts analyzing the data right at the local level. With that, if you want to, for example, graph error rates from your Kubernetes cluster, you wouldn’t have to gather all of this data and send it off to your data warehouse where it has to be indexed before it can be analyzed and graphed.
With Edge Delta, you could instead have every single node draw its own graph, which Edge Delta can then combine later on. With this, Edge Delta argues, its agent is able to offer significant performance benefits, often by orders of magnitude. This also allows businesses to run their machine learning models at the edge, as well.
Image Credits: Edge Delta
“What I saw before I was leaving Splunk was that people were sort of being choosy about where they put workloads for a variety of reasons, including cost control,” said Menlo Ventures’ Tim Tully, who joined the firm only a couple of months ago. “So this idea that you can move some of the compute down to the edge and lower latency and do machine learning at the edge in a distributed way was incredibly fascinating to me.”
Edge Delta is able to offer a significantly cheaper service, in large part because it doesn’t have to run a lot of compute and manage huge storage pools itself since a lot of that is handled at the edge. And while the customers obviously still incur some overhead to provision this compute power, it’s still significantly less than what they would be paying for a comparable service. The company argues that it typically sees about a 90 percent improvement in total cost of ownership compared to traditional centralized services.
Image Credits: Edge Delta
Edge Delta charges based on volume and it is not shy to compare its prices with Splunk’s and does so right on its pricing calculator. Indeed, in talking to Tully and Unlu, Splunk was clearly on everybody’s mind.
“There’s kind of this concept of unbundling of Splunk,” Unlu said. “You have Snowflake and the data warehouse solutions coming in from one side, and they’re saying, ‘hey, if you don’t care about real time, go use us.’ And then we’re the other half of the equation, which is: actually there’s a lot of real-time operational use cases and this model is actually better for those massive stream processing datasets that you required to analyze in real time.”
But despite this competition, Edge Delta can still integrate with Splunk and similar services. Users can still take their data, ingest it through Edge Delta and then pass it on to the likes of Sumo Logic, Splunk, AWS’s S3 and other solutions.
Image Credits: Edge Delta
“If you follow the trajectory of Splunk, we had this whole idea of building this business around IoT and Splunk at the Edge — and we never really quite got there,” Tully said. “I think what we’re winding up seeing collectively is the edge actually means something a little bit different. […] The advances in distributed computing and sophistication of hardware at the edge allows these types of problems to be solved at a lower cost and lower latency.”
The Edge Delta team plans to use the new funding to expand its team and support all of the new customers that have shown interest in the product. For that, it is building out its go-to-market and marketing teams, as well as its customer success and support teams.
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The hidden benefits of adding a CTO to your board
The pandemic forced companies around the world to adjust to a “new normal,” which caused many leaders to pivot their business strategies and adopt new technologies to continue operations. In a time of chaos and change, there is no senior leader that can navigate this sort of change better than a CTO.
Not only do CTOs understand the ever-changing tech landscape, they also provide invaluable insights to help organizations go beyond traditional IT conversations and leverage technology to successfully scale businesses.
Boards are facing pressure to be strategic and thoughtful on how to evolve in the rapidly iterating world of technology, and a CTO is uniquely positioned to address specific challenges.
There are now more reasons than ever to consider adding a CTO to your board. As a CTO myself, I know how important and impactful it can be to have technical-minded leaders on a company’s board of directors. At a time when companies are accelerating their digital transformation, it’s critical to have diverse technical perspectives and people from varying backgrounds, as transformations are a mix of people, process and technology.
Drawing on my experience on Lightbend’s board of directors, here are five hidden benefits of making space at the table for a CTO.
A unique mind (and skill) set
Currently, most boards of directors are composed of former CEOs, CFOs and investors. While such executives bring vast experience, they have very specific expertise, and that frequently does not include technical proficiency. In order for a company to be successful, your board needs to have people with different backgrounds and expertise.
Inviting different perspectives forces companies out of the groupthink mentality and find new, creative solutions to their problems. Diverse perspectives aren’t just about the title –– racial ethnicity and gender diversity are clearly a play here as well.
Deep understanding of tech
For a product-led company, having a CTO who has been close to product development and innovation can bring deep insights and understanding to the boardroom. Boards are facing pressure to be strategic and thoughtful on how to evolve in the rapidly iterating world of technology, and a CTO is uniquely positioned to address specific challenges.
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Ghana’s Redbird raises $1.5M seed to expand access to rapid medical testing in sub-Saharan Africa
For patients and healthcare professionals to properly track and manage illnesses, especially chronic ones, healthcare needs to be decentralized. It also needs to be more convenient, with a patient’s health information able to follow them wherever they go.
Redbird, a Ghanaian health tech startup that allows easy access to convenient testing and ensures that doctors and patients can view the details of those test results at any time, announced today that it has raised a $1.5 million seed investment.
Investors who participated in the round include Johnson & Johnson Foundation, Newton Partners (via the Imperial Venture Fund) and Founders Factory Africa. This brings the company’s total amount raised to date to $2.5 million.
The health tech company was launched in 2018 by Patrick Beattie, Andrew Quao and Edward Grandstaff. As a founding scientist at a medical diagnostics startup in Boston, Beattie’s job was to develop new rapid diagnostic tests. During his time in Accra in 2016, he met Quao, a trained pharmacist in Ghana at a hackathon whereupon talking found out that their interests in medical testing overlapped.
Beattie told TechCrunch that while he saw many exciting new tests in development in the U.S., he didn’t see the same in Ghana. Quao, who is familiar with how Ghanaians use pharmacies as their primary healthcare point, felt perturbed that these pharmacies weren’t doing more than transactional purchases.
They both settled that pharmacies in Ghana needed to imbibe the world of medical testing. Although both didn’t have a tech background, they realized technology was necessary to execute this. So, they enlisted the help of Grandstaff to be CTO of Redbird while Beattie and Quao became CEO and COO, respectively.
L-R: Patrick Beattie (CEO), Andrew Quao (COO) and Edward Grandstaff (CTO). Imge Credits: Redbird
Redbird enables pharmacies in Ghana to add to their pharmacy services rapid diagnostic testing for 10 different health conditions. These tests include anaemia, blood sugar, blood pressure, BMI, cholesterol, Hepatitis B, malaria, typhoid, prostate cancer screening and pregnancy.
Also, Redbird provides pharmacies with the necessary equipment, supplies and software to make this possible. The software — Redbird Health Monitoring — is networked across all partner pharmacies and enables patients to build medical testing records after going through five-minute medical tests offered through these pharmacies.
Rather than employing a SaaS model that Beattie says is not well appreciated by its customers, Redbird’s revenue model is based on the supply of disposable test strips.
“Pharmacies who partner with Redbird gain access to the software and all the ways Redbird supports our partners for free as long as they purchase the consumables through us. This aligns our revenue with their success, which is aligned with patient usage,” said the CEO.
This model is being used with more than 360 pharmacies in Ghana, mainly in Accra and Kumasi. It was half this number in 2019, which Redbird has since doubled despite the pandemic. These pharmacies have recorded over 125,000 tests in the past three years from more than 35,000 patients registered on the platform.
Redbird will use the seed investment to grow its operations within Ghana and expand to new markets that remain undisclosed.
In 2018, Redbird participated in the Alchemist Accelerator just a few months before launch. It was the second African startup after fellow Ghanaian health tech startup mPharma to take part in the six-month program. The company also got into Founders Factory Africa last April.
According to Beattie, most of the disease burden Africans might experience in the future will be chronic diseases. For instance, diabetes is projected to grow by 156% over the next 25 years. This is why he sees decentralized, digitized healthcare as the next leapfrog opportunity for sub-Saharan Africa.
“Chronic disease is exploding and with it, patients require much more frequent interaction with the healthcare system. The burden of chronic disease will make a health system that is highly centralized impossible,” he said. “Like previous leapfrog events, this momentum is happening all over the world, not just in Africa. Still, the state of the current infrastructure means that healthcare systems here will be forced to innovate and adapt before health systems elsewhere are forced to, and therein lies the opportunity,” he said.
But while the promise of technology and data is exciting, it’s important to realize that health tech only provides value if it matches patient behaviors and preferences. It doesn’t really matter what amazing improvements you can realize with data if you can’t build the data asset and offer a service that patients actually value.
Beattie knows this all too well and says Redbird respects these preferences. For him, the next course of action will be to play a larger role in the world’s developing ecosystem where healthcare systems build decentralised networks and move closer to the average patient.
This decentralised approach is what attracted U.S. and South African early-stage VC firm Newtown Partners to cut a check. Speaking on behalf of the firm, Llew Claasen, the managing partner, had this to say.
“We’re excited about Redbird’s decentralised business model that enables rapid diagnostic testing at the point of primary care in local community pharmacies. Redbird’s digital health record platform has the potential to drive significant value to the broader healthcare value chain and is a vital step toward improving healthcare outcomes in Africa. We look forward to supporting the team as they prove out their business model and scale across the African continent.”
Early Stage is the premier “how-to” event for startup entrepreneurs and investors. You’ll hear firsthand how some of the most successful founders and VCs build their businesses, raise money and manage their portfolios. We’ll cover every aspect of company building: Fundraising, recruiting, sales, product-market fit, PR, marketing and brand building. Each session also has audience participation built-in — there’s ample time included for audience questions and discussion. Use code “TCARTICLE” at checkout to get 20% off tickets right here.
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Latent AI makes edge AI workloads more efficient
Latent AI, a startup that was spun out of SRI International, makes it easier to run AI workloads at the edge by dynamically managing workloads as necessary.
Using its proprietary compression and compilation process, Latent AI promises to compress library files by 10x and run them with 5x lower latency than other systems, all while using less power thanks to its new adaptive AI technology, which the company is launching as part of its appearance in the TechCrunch Disrupt Battlefield competition today.
Founded by CEO Jags Kandasamy and CTO Sek Chai, the company has already raised a $6.5 million seed round led by Steve Jurvetson of Future Ventures and followed by Autotech Ventures .
Before starting Latent AI, Kandasamy sold his previous startup OtoSense to Analog Devices (in addition to managing HPE Mid-Market Security business before that). OtoSense used data from sound and vibration sensors for predictive maintenance use cases. Before its sale, the company worked with the likes of Delta Airlines and Airbus.
Image Credits: Latent AI
In some ways, Latent AI picks up some of this work and marries it with IP from SRI International .
“With OtoSense, I had already done some edge work,” Kandasamy said. “We had moved the audio recognition part out of the cloud. We did the learning in the cloud, but the recognition was done in the edge device and we had to convert quickly and get it down. Our bill in the first few months made us move that way. You couldn’t be streaming data over LTE or 3G for too long.”
At SRI, Chai worked on a project that looked at how to best manage power for flying objects where, if you have a single source of power, the system could intelligently allocate resources for either powering the flight or running the onboard compute workloads, mostly for surveillance, and then switch between them as needed. Most of the time, in a surveillance use case, nothing happens. And while that’s the case, you don’t need to compute every frame you see.
“We took that and we made it into a tool and a platform so that you can apply it to all sorts of use cases, from voice to vision to segmentation to time series stuff,” Kandasamy explained.
What’s important to note here is that the company offers the various components of what it calls the Latent AI Efficient Inference Platform (LEIP) as standalone modules or as a fully integrated system. The compressor and compiler are the first two of these and what the company is launching today is LEIP Adapt, the part of the system that manages the dynamic AI workloads Kandasamy described above.
Image Credits: Latent AI
In practical terms, the use case for LEIP Adapt is that your battery-powered smart doorbell, for example, can run in a low-powered mode for a long time, waiting for something to happen. Then, when somebody arrives at your door, the camera wakes up to run a larger model — maybe even on the doorbell’s base station that is plugged into power — to do image recognition. And if a whole group of people arrives at ones (which isn’t likely right now, but maybe next year, after the pandemic is under control), the system can offload the workload to the cloud as needed.
Kandasamy tells me that the interest in the technology has been “tremendous.” Given his previous experience and the network of SRI International, it’s maybe no surprise that Latent AI is getting a lot of interest from the automotive industry, but Kandasamy also noted that the company is working with consumer companies, including a camera and a hearing aid maker.
The company is also working with a major telco company that is looking at Latent AI as part of its AI orchestration platform and a large CDN provider to help them run AI workloads on a JavaScript backend.
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Puppet names former Cloud Foundry Foundation executive director Abby Kearns as CTO
Puppet, the Portland-based infrastructure automation company, today announced that it has named former Cloud Foundry Foundation executive director Abby Kearns as its new CTO.
Current Puppet CTO Deepak Giridharagopal will remain in his role and focus on R&D and leading new projects, while Kearns will focus on expanding the company’s product portfolio and communicating with enterprise audiences.
Kearns stepped down from her role at the Cloud Foundry Foundation earlier this month after holding that position since 2016. At the time, she wasn’t quite ready to reveal her next move, though, and her taking the CTO job at Puppet comes as a bit of a surprise. Despite a lot of usage and hype in its early days, Puppet isn’t often seen as an up-and-coming company anymore, after all. But Kearns argues that a lot of this is due to perception.
“Puppet had great technology and really drove the early DevOps movement, but they kind of fell off the face of the map,” she said. “Nobody thought of them as anything other than config management, and so I was like, well, you know, problem number one: fix that perception problem if that’s no longer the reality or otherwise, everyone thinks you’re dead.”
Since Kearns had already started talking to Puppet CEO Yvonne Wassenaar, who took the job in January 2019, she joined the product advisory board about a year ago and the discussion about Kearns joining the company became serious a few months later.
“We started talking earlier this year,” said Kearns. “She said: ‘You know, wouldn’t it be great if you could come help us? I’m building out a brand new executive team. We’re really trying to reshape the company.’ And I got really excited about the team that she built. She’s got a really fantastic new leadership team, all of them are there for less than a year. they have a new CRO, new CMO. She’s really assembled a fantastic team of people that are super smart, but also really thoughtful people.”
Kearns argues that Puppet’s product has really changed, but that the company didn’t really talk about it enough, despite the fact that 80% of the Global 5,000 are customers.
Given the COVID-19 pandemic, Kearns has obviously not been able to meet the Puppet team yet, but she told me that she’s starting to dig deeper into the company’s product portfolio and put together a strategy. “There’s just such an immensely talented team here. And I realize every startup tells you that, but really, there’s actually a lot of talented people here that are really nice. And I guess maybe it’s the Portland in them, but everyone’s nice,” she said.
“Abby is keenly aware of Puppet’s mission, having served on our Product Advisory Board for the last year, and is a technologist at heart,” said Wassenaar. “She brings a great balance to this position for us – she has deep experience in the enterprise and understands how to solve problems at massive scale.”
In addition to Kearns, former Cloud Foundry Foundation VP of marketing Devin Davis also joined Puppet as the company’s VP of corporate marketing and communications.
Update: we updated the post to clarify that Deepak Giridharagopal will remain in his role.
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Checkly raises $2.25M seed round for its monitoring and testing platform
Checkly, a Berlin-based startup that is developing a monitoring and testing platform for DevOps teams, today announced that it has raised a $2.25 million seed round led by Accel. A number of angel investors, including Instana CEO Mirko Novakovic, Zeit CEO Guillermo Rauch and former Twilio CTO Ott Kaukver, also participated in this round.
The company’s SaaS platform allows developers to monitor their API endpoints and web apps — and it obviously alerts you when something goes awry. The transaction monitoring tool makes it easy to regularly test interactions with front-end websites without having to actually write any code. The test software is based on Google’s open-source Puppeteer framework and to build its commercial platform, Checkly also developed Puppeteer Recorder for creating these end-to-end testing scripts in a low-code tool that developers access through a Chrome extension.
The team believes that it’s the combination of end-to-end testing and active monitoring, as well as its focus on modern DevOps teams, that makes Checkly stand out in what is already a pretty crowded market for monitoring tools.
“As a customer in the monitoring market, I thought it had long been stuck in the 90s and I needed a tool that could support teams in JavaScript and work for all the different roles within a DevOps team. I set out to build it, quickly realizing that testing was equally important to address,” said Tim Nolet, who founded the company in 2018. “At Checkly, we’ve created a market-defining tool that our customers have been demanding, and we’ve already seen strong traction through word of mouth. We’re delighted to partner with Accel on building out our vision to become the active reliability platform for DevOps teams.”
Nolet’s co-founders are Hannes Lenke, who founded TestObject (which was later acquired by Sauce Labs), and Timo Euteneuer, who was previously Director Sales EMEA at Sauce Labs.
Tthe company says that it currently has about 125 paying customers who run about 1 million checks per day on its platform. Pricing for its services starts at $7 per month for individual developers, with plans for small teams starting at $29 per month.
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This bathroom cleaning robot is trained in VR to clean up after you
You’ve no doubt heard about the three Ds of automation. Somatic’s robot handily qualifies for two. I’d say “dangerous” is probably a bit of a stretch here, but the robot is well-focused on replacing a job that’s generally regarded as both “dirty” and “dull.”
The startup, which is ostensibly based in the New York area (it’s a small, geographically dispersed team in search of a more permanent home) effectively came out of stealth onstage at TC Sessions: Robotics + AI at UC Berkeley. Its first product is a large, commercial restroom cleaning robot.
CEO Michael Levy compares the device to a “minifridge with a robot arm attached to the front.” Levy, who co-founded the company with CTO Eugene Zasoba, says he was inspired to develop a robot for bathroom cleaning after years spent working his way up at his grandfather’s restaurant.
“When I grew up, I did a bunch of jobs. He said, if you want to get to the register, you have start in the bathroom,” he explains. “The reason bathrooms are such a good application, because everything is bolted down to the floor. Things move in a predictable way. All commercial bathrooms built after 1994 are ADA compliant. What’s good for robotics is that lays a specific design.”
The static nature of most commercial restrooms means that robots only have to train on a space once. The team does the work remotely now, using a VR simulation of the bathroom to show the robot where to spray and wipe chemicals, vacuum and blow-dry. It’s an activity the team affectionately refers to as “the worst video game, ever.” Once all of that is in place, the robot uses a variety of sensors, including lidar, to navigate around.
The robot will clean a restroom, then go to recharge and refill chemicals as needed. It should get around eight hours of cleaning done in a day and can even open doors and ride the elevator to get around buildings, according to Levy.
Prime targets include airports, casinos, office spaces and other spots with large commercial restrooms. The robot will be leased out for around $1,000 a month, after a trial phase. Somatic already has a handful of customers, including a FAANG company, whose offices are already being cleaned by the robot.
The first model was created with help from $50,000 in bootstrapped funds, to which Somatic has added $300,000, including $150,000 from SOSV.
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YC is doubling down on these investment theses in its most recent batch
Nearly 200 startups have just graduated from the prestigious San Francisco startup accelerator Y Combinator . The flock of companies are now free to proceed company-building with a fresh $150,000 check and three-months full of tips and tricks from industry experts.
As usual, we sent several reporters to YC’s latest demo day to take notes on each company and pick our favorites. But there were many updates to the YC structure this time around and new trends we spotted from the ground that we’ve yet to share.
CTO and HR demo days
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Microsoft Azure CTO Mark Russinovich will join us for TC Sessions: Enterprise on September 5
Being the CTO for one of the three major hypercloud providers may seem like enough of a job for most people, but Mark Russinovich, the CTO of Microsoft Azure, has a few other talents in his back pocket. Russinovich, who will join us for a fireside chat at our TechCrunch Sessions: Enterprise event in San Francisco on September 5 (p.s. early-bird sale ends Friday), is also an accomplished novelist who has published four novels, all of which center around tech and cybersecurity.
At our event, though, we won’t focus on his literary accomplishments (except for maybe his books about Windows Server) as much as on the trends he’s seeing in enterprise cloud adoption. Microsoft, maybe more so than its competitors, always made enterprise customers and their needs the focus of its cloud initiatives from the outset. Today, as the majority of enterprises is looking to move at least some of their legacy workloads into the cloud, they are often stumped by the sheer complexity of that undertaking.
In our fireside chat, we’ll talk about what Microsoft is doing to reduce this complexity and how enterprises can maximize their current investments into the cloud, both for running new cloud-native applications and for bringing legacy applications into the future. We’ll also talk about new technologies that can make the move to the cloud more attractive to enterprises, including the current buzz around edge computing, IoT, AI and more.
Before joining Microsoft, Russinovich, who has a Ph.D. in computer engineering from Carnegie Mellon, was the co-founder and chief architect of Winternals Software, which Microsoft acquired in 2006. During his time at Winternals, Russinovich discovered the infamous Sony rootkit. Over his 13 years at Microsoft, he moved from Technical Fellow up to the CTO position for Azure, which continues to grow at a rapid clip as it looks to challenge AWS’s leadership in total cloud revenue.
Tomorrow, Friday, August 16 is your last day to save $100 on tickets before prices go up. Book your early-bird tickets now and keep that Benjamin in your pocket.
If you’re an early-stage startup, we only have three demo table packages left! Each demo package comes with four tickets and a great location for your company to get in front of attendees. Book your demo package today before we sell out!
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