Box announced today that it has acquired Butter.ai, a startup that helps customers search for content intelligently in the cloud. The terms of the deal were not disclosed, but the Butter.AI team will be joining Box.
Butter.AI was started by two ex-Evernote employees, Jack Hirsch and Adam Walz. The company was partly funded by Evernote founder and former CEO Phil Libin’s Turtle Studios. The latter is a firm established with a mission to use machine learning to solve real business problems like finding the right document wherever it is.
Box has been adding intelligence to its platform for some time, and this acquisition brings the Butter.AI team on board and gives them more machine learning and artificial intelligence known-how while helping to enhance search inside of the Box product.
“The team from Butter.ai will help Box to bring more intelligence to our Search capabilities, enabling Box’s 85,000 customers to more easily navigate through their unstructured information — making searching for files in Box more contextualized, predictive and personalized,” Box’s Jeetu Patel wrote in a blog post announcing the acquisition.
That means taking into account the context of the search and delivering documents that make sense given your role and how you work. For instance, are if you are a salesperson and you search for a contract, you probably want a sales contract and not a one for a freelancer or business partnership.
For Butter, the chance to have access to all those customers was too good to pass up. “We started Butter.ai to build the best way to find documents at work. As it turns out, Box has 85,000 customers who all need instant access to their content. Joining Box means we get to build on our original mission faster and at a massive scale,” company CEO and co-founder Jack Hirsch said.
The company launched in September, 2017, and up until now it has acted as a search assistant inside Slack you can call upon to search for documents and find them wherever they live in the cloud. The company will be winding down that product as it becomes part of the Box team.
As is often the case in these deals, the two companies have been working closely together and it made sense for Box to bring the Butter.AI team into the fold where it can put its technology to bear on the Box platform.
“After launching in September 2017 our customers were loud and clear about wanting us to integrate with Box and we quickly delivered. Since then, our relationship with Box has deepened and now we get to build on our vision for a MUCH larger audience as part of the Box team,” the founders wrote in a Medium post announcing the deal.
The company raised $ 3.3 million over two seed rounds. Investors included Slack and General Catalyst.
Dell, which went private in one of the the largest leveraged buyouts in tech circa 2013, announced today that it will once again be going public through a relatively complex mechanism that will once again bring the company back onto the public markets with founder Michael Dell and Silver Lake Partners largely in control.
Dell’s leveraged buyout largely marked the final page in the company’s storied history as a PC provider, going back to the old “dude, you’re getting a Dell” commercials. The company rode that wave to dominance, but as computing shifted to laptops, mobile phones, and complex operations were offloaded into cloud services like Amazon Web Services, Azure and Google Cloud, Dell found itself navigating a complex environment while having to make a significant business transition beyond the PC era. That meant Dell would be beholden to the whims of public markets, perhaps laden with short-term pessimism over the company’s urgent need to find a transition.
The transaction is actually an offer to buy shares that track the company’s involvement in VMWare, converting that tracking stock into Dell Technologies stock that would mark its return as a publicly-traded company. Those shares will end up traded on the NYSE, around five years later after its founder took the company private with Silver Lake Partners in a deal worth roughly $ 25 billion. Silver Lake Partners owns around 24% of the company, while Dell owns 72% and will continue to serve as the chairman and CEO of the company. This move helps the company bypass the IPO process, which would remove the whole time period of potential investors scrutinizing the company (which has taken on a substantial debt load).
Dell said in its most recent quarter it recorded revenue of $ 21.4 billion, up 19% year-over-year, and over the past 12 months the company generated $ 82.4 billion of revenue with a net loss of $ 2.3 billion. The company said it has also paid down $ 13 billion of gross debt since its combination with EMC back in 2016. All this has been part of the company’s transition to find new businesses beyond just selling computers, though there’s clearly still demand for those computers in offices around the world. As it has expanded into a broader provider of IT services, it’s potentially positioned itself as a modern enterprise tools provider, which would allow it to more securely navigate public markets while offering investors a way to correctly calibrate its value.
At the end of last November, Google announced that Diane Bryant, who at the time was on a leave of absence from her position as the head of Intel’s data center group, would become Google Cloud’s new COO. This was a major coup for Google, but it wasn’t meant to last. After only seven months on the job, Bryant has left Google Cloud, as Business Insider first reported today.
“We can confirm that Diane Bryant is no longer with Google. We are grateful for the contributions she made while at Google and we wish her the best in her next pursuit,” a Google spokesperson told us when we reached out for comment.
The reasons for Bryant’s departure are currently unclear. It’s no secret that Intel is looking for a new CEO and Bryant would fit the bill. Intel also famously likes to recruit insiders as its leaders, though I would be surprised if the company’s board had already decided on a replacement. Bryant spent more than 25 years at Intel and her hire at Google looked like it would be a good match, especially given that Google’s position behind Amazon and Microsoft in the cloud wars means that it needs all the executive talent it can get.
When Bryant was hired, Google Cloud CEO Diane Greene noted that “Diane’s strategic acumen, technical knowledge and client focus will prove invaluable as we accelerate the scale and reach of Google Cloud.” According to the most recent analyst reports, Google Cloud’s market share has ticked up a bit — and its revenue has increased at the same time — but Google remains a distant third in the competition and it doesn’t look like that’s changing anytime soon.
Say you have a job with a large company and you want to know how much vacation time you have left, or how to add your new baby to your healthcare. This usually involves emailing or calling HR and waiting for an answer, or it could even involve crossing multiple systems to get what you need.
Leena AI, a member of the Y Combinator Summer 2018 class, wants to change that by building HR bots to answer questions for employees instantly.
The bots can be integrated into Slack or Workplace by Facebook and they are built and trained using information in policy documents and by pulling data from various back-end systems like Oracle and SAP.
Adit Jain, co-founder at Leena AI, says the company has its roots in another startup called Chatteron, which the founders started after they got out of college in India in 2015. That product helped people build their own chatbots. Jain says along the way, they discovered while doing their market research a particularly strong need in HR. They started Leena AI last year to address that specific requirement.
Jain says when building bots, the team learned through its experience with Chatteron that it’s better to concentrate on a single subject because the underlying machine learning model gets better the more it’s used. “Once you create a bot, for it to really add value and be [extremely] accurate, and for it to really go deep, it takes a lot of time and effort and that can only happen through verticalization,” Jain explained.
What’s more, as the founders have become more knowledgeable about the needs of HR, they have learned that 80 percent of the questions cover similar topics, like vacation, sick time and expense reporting. They have also seen companies using similar back-end systems, so they can now build standard integrators for common applications like SAP, Oracle and NetSuite.
Of course, even though people may ask similar questions, the company may have unique terminology or people may ask the question in an unusual way. Jain says that’s where the natural language processing (NLP) comes in. The system can learn these variations over time as they build a larger database of possible queries.
The company just launched in 2017 and already has a dozen paying customers. They hope to double that number in just 60 days. Jain believes being part of Y Combinator should help in that regard. The partners are helping the team refine its pitch and making introductions to companies that could make use of this tool.
Their ultimate goal is nothing less than to be ubiquitous, to help bridge multiple legacy systems to provide answers seamlessly for employees to all their questions. If they can achieve that, they should be a successful company.
In what appears to be the latest salvo in a new, wired form of protest, developer Sam Lavigne posted code that scrapes LinkedIn to find Immigration and Customs Enforcement employee accounts. His code, which basically a Python-based tool that scans LinkedIn for keywords, is gone from Github and Gitlab and Medium took down his original post. The CSV of the data is still available here and here and WikiLeaks has posted a mirror.
“I find it helpful to remember that as much as internet companies use data to spy on and exploit their users, we can at times reverse the story, and leverage those very same online platforms as a means to investigate or even undermine entrenched power structures. It’s a strange side effect of our reliance on private companies and semi-public platforms to mediate nearly all aspects of our lives. We don’t necessarily need to wait for the next Snowden-style revelation to scrutinize the powerful — so much is already hiding in plain sight,” said Lavigne.
Doxxing is the process of using publicly available information to target someone online for abuse. Because we can now find out anything on anyone for a few dollars – a search for “background check” brings up dozens of paid services that can get you names and addresses in a second – scraping public data on LinkedIn seems far easier and innocuous. That doesn’t make it legal.
“Recent efforts to outlaw doxxing at the national level (like the Online Safety Modernization Act of 2017) have stalled in committee, so it’s not strictly illegal,” said James Slaby, Security Expert at Acronis. “But LinkedIn and other social networks usually consider it a violation of their terms of service to scrape their data for personal use. The question of fairness is trickier: doxxing is often justified as a rare tool that the powerless can use against the powerful to call attention to perceived injustices.”
“The problem is that doxxing is a crude tool. The torrent of online ridicule, abuse and threats that can be heaped on doxxed targets by their political or ideological opponents can also rain down on unintended and undeserving targets: family members, friends, people with similar names or appearances,” he said.
The tool itself isn’t to blame. No one would fault a job seeker or salesperson who scraped LinkedIn for targeted employees of a specific company. That said, scraping and publicly shaming employees walks a thin line.
“In my opinion, the professor who developed this scraper tool isn’t breaking the law, as it’s perfectly legal to search the web for publicly available information,” said David Kennedy, CEO of TrustedSec. “This is known in the security space as ‘open source intelligence’ collection, and scrapers are just one way to do it. That said, it is concerning to see ICE agents doxxed in this way. I understand emotions are running high on both sides of this debate, but we don’t want to increase the physical security risks to our law enforcement officers.”
“The decision by Twitter, Github and Medium to block the dissemination of this information and tracking tool makes sense – in fact, law enforcement agents’ personal information is often protected. This isn’t going to go away anytime soon, it’s only going to become more aggressive, particularly as more people grow comfortable with using the darknet and the many available hacking tools for sale in these underground forums. Law enforcement agents need to take note of this, and be much more careful about what (and how often) they post online.”
Ultimately, doxxing is problematic. Because we place our information on public forums there should be nothing to stop anyone from finding and posting it. However, the expectation that people will use our information for good and not evil is swiftly eroding. Today, wrote one security researcher, David Kavanaugh, doxxing is becoming dangerous.
“Going after the people on the ground is like shooting the messenger. Decisions are made by leadership and those are the people we should be going after. Doxxing is akin to a personal attack. Change policy, don’t ruin more lives,” he said.
Since Google Hire launched last year it has been trying to make it easier for hiring managers to manage the data and tasks associated with the hiring process, while maybe tweaking LinkedIn while they’re at it. Today the company announced some AI-infused enhancements that they say will help save time and energy spent on manual processes.
“By incorporating Google AI, Hire now reduces repetitive, time-consuming tasks, like scheduling interviews into one-click interactions. This means hiring teams can spend less time with logistics and more time connecting with people,” Google’s Berit Hoffmann, Hire product manager wrote in a blog post announcing the new features.
The first piece involves making it easier and faster to schedule interviews with candidates. This is a multi-step activity that involves scheduling appropriate interviewers, choosing a time and date that works for all parties involved in the interview and scheduling a room in which to conduct the interview. Organizing these kind of logistics tend to eat up a lot of time.
“To streamline this process, Hire now uses AI to automatically suggest interviewers and ideal time slots, reducing interview scheduling to a few clicks,” Hoffmann wrote.
Another common hiring chore is finding keywords in a resume. Hire’s AI now finds these words for a recruiter automatically by analysing terms in a job description or search query and highlighting relevant words including synonyms and acronyms in a resume to save time spent manually searching for them.
Finally, another standard part of the hiring process is making phone calls, lots of phone calls. To make this easier, the latest version of Google Hire has a new click-to-call function. Simply click the phone number and it dials automatically and registers the call in call a log for easy recall or auditing.
While Microsoft has LinkedIn and Office 365, Google has G Suite and Google Hire. The strategy behind Hire is to allow hiring personnel to work in the G Suite tools they are immersed in every day and incorporate Hire functionality within those tools.
It’s not unlike CRM tools that integrate with Outlook or GMail because that’s where sales people spend a good deal of their time anyway. The idea is to reduce the time spent switching between tools and make the process a more integrated experience.
While none of these features individually will necessarily wow you, they are making use of Google AI to simplify common tasks to reduce some of the tedium associated with every-day hiring tasks.
Adobe reported its Q2 FY’18 earnings yesterday and the news was quite good. The company announced $ 2.2 billion in revenue for the quarter up 24 percent year over year. That puts them on an impressive $ 8.8 billion run rate, within reach of becoming the next $ 10 billion software company (or at least on a run rate).
Revenue was up across all major business lines, but as has been the norm, the vast majority comes from the company’s bread and butter, Creative Cloud, which houses the likes of Photoshop, InDesign and Dreamweaver, among others. In fact digital media, which includes Creative Cloud and Document Cloud accounted for $ 1.55 billion of the $ 2.2 billion in total revenue. The vast majority of that, $ 1.30 billion was from the creative side of the house with Document Cloud pulling in $ 243 million.
Adobe has been mostly known as a creative tools company until recent years when it also moved into marketing, analytics and advertising. Recently it purchased Magento for $ 1.6 billion, giving it a commerce component to go with those other pieces. Clearly Adobe has set its sights on Salesforce, which also has a strong marketing component and is not coincidentally perhaps, the most recently crowned $ 10 billion software company.
Moving into commerce
Adobe CEO Shantanu Narayen speaking to analysts on the post-reporting earnings call sees Magento as filling in a key piece across understanding the customer from shopping to purchase. “The acquisition of Magento will make Adobe the only company with leadership in content creation, marketing, advertising, analytics and now commerce, enabling real-time personalized experiences across the entire customer journey, whether on the web, mobile, social, in-product or in-store. We believe the addition of Magento expands our available market opportunity, builds out our product portfolio, and addresses a key underserved customer need,” Narayen told analysts.
If Adobe could find a way to expand that marketing and commerce revenue, it could easily surpass that $ 10 billion revenue run rate threshold, but so far while it has been growing, it remains less than half of the Creative revenue at $ 586 million. Yes, it grew at an 18 percent year over year clip, but it seems as though there is potential for so much more there and clearly Narayen hopes that the money spent on Magento will help drive that growth.
Battling with Salesforce
Even while it was announcing its revenue, rival Salesforce was meeting with Marketing Cloud customers in Chicago at the Salesforce Connections conference, a move that presented an interesting juxtaposition between the two competitors. Both have a similar approach to the marketing side, while Salesforce concentrates on the customer including CRM and service components. Adobe differentiates itself with content, which shows up on the balance sheet as the majority of its revenue .
Both companies have growth in common too. Salesforce has been on quite a run over the last five years reaching $ 3 billion in revenue for the first time last quarter. Adobe hit $ 2 billion for the first time in November. Consider that prior to moving to a subscription model in 2013, Adobe had revenue of $ 995 million in Aug 2013. Since it moved to that subscription model, it has reaped the benefits of recurring revenue and grown steadily ever since.
Each has used strategic acquisitions to help fuel that growth with Salesforce acquiring 27 companies since 2013 and Adobe 13, according to Crunchbase data. Each has bought a commerce company with Adobe buying Magento this year and Salesforce grabbing Demandware two years ago.
Adobe has the toolset to keep the marketing side of its business growing. It might never reach the revenue of the creative side, but it could help push the company further than it’s ever been. Ten billion dollars seems well within reach if things continue along the current trajectory.
Sometimes you acquire a company for the assets and sometimes you do it for the talent. Today Workday announced it was buying Rallyteam, a San Francisco startup that helps companies keep talented employees by matching them with more challenging opportunities in-house.
In this case, Workday appears to be acquiring the talent. It wants to take the Rallyteam team and incorporate it into the company’s engineering unit to beef up its machine learning efforts, while taking advantage of the expertise it has built up over the years connecting employees with interesting internal projects.
“With Rallyteam, we gain incredible team members who created a talent mobility platform that uses machine learning to help companies better understand and optimize their workforces by matching a worker’s interests, skills and connections with relevant jobs, projects, tasks and people,” Workday’s Cristina Goldt wrote in a blog post announcing the acquisition.
Rallyteam, which was founded in 2013, and launched at TechCrunch Disrupt San Francisco in September 2014, helps employees find interesting internal projects that might otherwise get outsourced. “I knew there were opportunities that existed [internally] because as a manager, I was constantly outsourcing projects even though I knew there had to be people in the company that could solve this problem,” Rallyteam’s Huan Ho told TechCrunch’s Frederic Lardinois at the launch. Rallyteam was a service designed to solve this issue.
Last fall the company raised $ 8.6 million led by Norwest Ventures with participation from Storm Ventures, Cornerstone OnDemand and Wilson Sonsini.
Workday provides a SaaS platform for human resources and finance, so the Rallyteam approach fits nicely within the scope of the Workday business. This is the 10th acquisition for Workday and the second this year.
Workday raised over $ 230 million before going public in 2012.
Customer Relationship Management (CRM) is a mature market with a clear market leader in Salesforce. It has a bunch other enterprise players like Microsoft, Oracle and SAP vying for position. SAP decided to take another shot today when it released a new business products suite called SAP C/4HANA. (Ya, catchy I know.)
SAP C/4HANA pulls together several acquisitions from the last several years. It started in 2013 when it bought Hybris for around a billion dollars. That gave them a logistics tracking piece. Then last year it got Gigya for $ 350 million, giving them a way to track customer identity. This year it bought the final piece when it paid $ 2.4 billion for CallidusCloud for a configure, price quote (CPQ) piece.
SAP has taken these three pieces and packaged them together into a customer relationship management package. They see this term much more broadly than simply tracking a database of names and vital information on customers. They hope with these products to give their customers a way to provide consumer data protection, marketing, commerce, sales and customer service.
They see this approach as different, but it’s really more of what the other players are doing by packaging sales, service and marketing into a single platform. “The legacy CRM systems are all about sales; SAP C/4HANA is all about the consumer. We recognize that every part of a business needs to be focused on a single view of the consumer. When you connect all SAP applications together in an intelligent cloud suite, the demand chain directly fuels the behaviors of the supply chain,” CEO Bill McDermott said in a statement.
It’s interesting that McDermott goes after legacy CRM tools because his company has offered its share of them over the years, but its market share has been headed in the wrong direction. This new cloud-based package is designed to change that. If you can’t build it, you can buy it, and that’s what SAP has done here.
Brent Leary, owner at CRM Essentials, who has been watching this market for many years says that while SAP has a big back-office customer base in ERP, it’s going to be tough to pull customers back to SAP as a CRM provider. “I think their huge base of ERP customers provides them with an opportunity to begin making inroads, but it will be tough as mindshare for CRM/Customer Engagement has moved away from SAP,” he told TechCrunch.
He says that it will be important with this new product to find its niche in a defined market. “It will be imperative going forward for SAP find spots to “own” in the minds of corporate buyers in order to optimize their chances of success against their main competitors,” he said.
It’s obviously not going to be easy, but SAP has used its cash to buy some companies and give it another shot. Time will tell if it was money well spent.
Helm is an open source project that enables developers to create packages of containerized apps to make installation much simpler. Up until now, it was a sub-project of Kubernetes, the popular container orchestration tool, but as of today it is a stand-alone project.
Both Kubernetes and Helm are projects managed by the Cloud Native Computing Foundation (CNCF). The CNCF’s Technical Oversight Committee approved the project earlier this week. Dan Kohn, executive director at the CNCF says the two projects are closely aligned so it made sense for Helm to be a sub-project up until now.
“What’s nice about Helm is that it’s just an application on top of Kubernetes. Kubernetes is an API and Helm accesses that API. If you want you to install this [package], you access the Kubernetes API, and it pulls this many containers and pods and [it handles] all of the steps involved to do that,” Kohn explained.
This ability to package up a set of requirements allows you to repeat the installation process in a consistent way. “Helm addresses a common user need of deploying applications to Kubernetes by making their configurations reusable,” Brian Grant, principal engineer at Google and Kubernetes (and a member of the TOC) explained in a statement.
Packages are known as “charts,” which consist one or more containers. Kohn says for example, you might want to deploy a chart that includes WordPress and MariaDB in a single container. By creating a chart, it defines the installation process and which pieces need to go in which order to install correctly across a cluster.
Kohn said they decided to pull it out as a separate program because it doesn’t always follow the Kubernetes release schedule, and as such they wanted to make it stand-alone so it wouldn’t necessarily have to be linked to every Kubernetes release.
It also allows developers to benefit from the community, who could build Charts for common installation scenarios. “By joining CNCF, we’ll benefit from the input and participation of the community, and conversely Kubernetes will benefit when a community of developers provides a vast repository of ready-made charts for running workloads on Kubernetes,” Matt Butcher, co-creator of Helm and principal engineer at Microsoft said in a statement.
Besides Microsoft and Google, other project sponsors include Codefresh, Bitnami, Ticketmaster and Codecentric. The project website states there are currently 250 developers contributing to this project. By becoming part of CNCF that will very likely increase soon.