Apr
21
2020
--

Will China’s coronavirus-related trends shape the future for American VCs?

For the past month, VC investment pace seems to have slacked off in the U.S., but deal activities in China are picking up following a slowdown prompted by the COVID-19 outbreak.

According to PitchBook, “Chinese firms recorded 66 venture capital deals for the week ended March 28, the most of any week in 2020 and just below figures from the same time last year,” (although 2019 was a slow year). There is a natural lag between when deals are made and when they are announced, but still, there are some interesting trends that I couldn’t help noticing.

While many U.S.-based VCs haven’t had a chance to focus on new deals, recent investment trends coming out of China may indicate which shifts might persist after the crisis and what it could mean for the U.S. investor community.

Image Credits: PitchBook

Feb
19
2020
--

Microsoft Dynamics 365 update is focused on harnessing data

Microsoft announced a major update to its Dynamics 365 product line today, which correlates to the growing amount of data in the enterprise and how to collect and understand that data to produce better customer experiences.

This is, in fact, the goal of all vendors in this space, including Salesforce and Adobe, which are also looking to help improve the customer experience. James Philips, who was promoted to president of Microsoft Business Applications just this week, says that Microsoft has also been keenly focused on harnessing the growing amount of data and helping make use of that inside the applications he is in charge of.

“To be frank, every single thing that we’re doing at Microsoft, not just in business applications but across the entire Microsoft Cloud, is on the back of that vision that data is coming out of everything, and that those organizations that can collect that data, harmonize it and reason over it will be in a position to be proactive versus reactive,” Philips told TechCrunch.

New customer engagement tooling

For starters, the company is adding functionality to its customer data platform (CDP), a concept all major vendors (and a growing group of startups) have embraced. It pulls together into one place all of the customer data from various systems, making it easier to understand how the customer interacts with you, with the goal of providing better experiences based on this knowledge. Microsoft’s CDP is called Customer Insights.

The company is adding some new connectors to help complete that picture of the customer. “We’re adding new first and third-party data connections to Customer Insights that allow our customers to understand, for example audience memberships, brand affinities, demographic, psychographic and other characteristics of customers that are stored and then harnessed from Dynamics 365 Customer Insights,” Philips said.

All of this might make you wonder how they can collect this level of data and maintain GDPR/CCPA kind of compliance. Philips says that the company has been working on this for some time. “We did work at the company level to build a system that allows us and our customers to search for and then delete information about customers in each product group within Microsoft, including my organization,” he explained.

The company has also added new sales forecasting tools and Dynamics 365 Sales Engagement Center. The first allows companies to tap into all this data to better predict the customers who sales is engaged with that are most likely to turn into sales. The second gives inside sales teams tools like next best action. These are not revolutionary by any means in the CRM space, but do provide new capabilities for Microsoft customers.

New operations-level tooling

The operations side is related to what happens after the sale, when the company begins to collect money and report revenue. To that end, the company is introducing a new product called Dynamic 365 Finance Insights, which you can think of as Customer Insights, except for money.

“This product is designed to help our customers predict and accelerate their cash flow. It’s designed specifically to identify opportunities where to focus your energy, where you may have the best opportunity to either close accounts payables or receivables or the opportunity to understand where you may have cash shortfalls,” Philips said.

Finally the company is introducing Dynamics 365 Project Operations, which provides a way for project-based business like construction, consulting and law to track the needs of the business.

“Those organizations, who are trying to operate in a project-based way now have with Dynamics 365 Project Operations, what we believe is the most widely used project management capability in Microsoft Project being joined now with all of the back-end capabilities for selling, accounting and planning that Dynamic 365 offers, all built on the same Common Data Platform, so that you can marry your front-end operations and operational planning with your back-end resource planning, workforce planning and operational processes,” he explained.

All of these tools are designed to take advantage of the growing amount of data coming into organizations, and provide ways to run businesses in a more automated and intelligent fashion that removes some of the manual steps involved in running a company.

To be clear, Microsoft is not alone in offering this kind of intelligent functionality. It is part of a growing movement to bring intelligence to all aspects of enterprise software, regardless of vendor.

Nov
14
2019
--

Eigen nabs $37M to help banks and others parse huge documents using natural language and ‘small data’

One of the bigger trends in enterprise software has been the emergence of startups building tools to make the benefits of artificial intelligence technology more accessible to non-tech companies. Today, one that has built a platform to apply the power of machine learning and natural language processing to massive documents of unstructured data has closed a round of funding as it finds strong demand for its approach.

Eigen Technologies, a London-based startup whose machine learning engine helps banks and other businesses that need to extract information and insights from large and complex documents like contracts, is today announcing that it has raised $37 million in funding, a Series B that values the company at around $150 million – $180 million.

The round was led by Lakestar and Dawn Capital, with Temasek and Goldman Sachs Growth Equity (which co-led its Series A) also participating. Eigen has now raised $55 million in total.

Eigen today is working primarily in the financial sector — its offices are smack in the middle of The City, London’s financial center — but the plan is to use the funding to continue expanding the scope of the platform to cover other verticals such as insurance and healthcare, two other big areas that deal in large, wordy documentation that is often inconsistent in how its presented, full of essential fine print, and typically a strain on an organisation’s resources to be handled correctly — and is often a disaster if it is not.

The focus up to now on banks and other financial businesses has had a lot of traction. It says its customer base now includes 25% of the world’s G-SIB institutions (that is, the world’s biggest banks), along with others that work closely with them, like Allen & Overy and Deloitte. Since June 2018 (when it closed its Series A round), Eigen has seen recurring revenues grow sixfold with headcount — mostly data scientists and engineers — double. While Eigen doesn’t disclose specific financials, you can see the growth direction that contributed to the company’s valuation.

The basic idea behind Eigen is that it focuses what co-founder and CEO Lewis Liu describes as “small data.” The company has devised a way to “teach” an AI to read a specific kind of document — say, a loan contract — by looking at a couple of examples and training on these. The whole process is relatively easy to do for a non-technical person: you figure out what you want to look for and analyse, find the examples using basic search in two or three documents and create the template, which can then be used across hundreds or thousands of the same kind of documents (in this case, a loan contract).

Eigen’s work is notable for two reasons. First, typically machine learning and training and AI requires hundreds, thousands, tens of thousands of examples to “teach” a system before it can make decisions that you hope will mimic those of a human. Eigen requires a couple of examples (hence the “small data” approach).

Second, an industry like finance has many pieces of sensitive data (either because it’s personal data, or because it’s proprietary to a company and its business), and so there is an ongoing issue of working with AI companies that want to “anonymise” and ingest that data. Companies simply don’t want to do that. Eigen’s system essentially only works on what a company provides, and that stays with the company.

Eigen was founded in 2014 by Dr. Lewis Z. Liu (CEO) and Jonathan Feuer (a managing partner at CVC Capital Partners, who is the company’s chairman), but its earliest origins go back 15 years earlier, when Liu — a first-generation immigrant who grew up in the U.S. — was working as a “data-entry monkey” (his words) at a tire manufacturing plant in New Jersey, where he lived, ahead of starting university at Harvard.

A natural computing whiz who found himself building his own games when his parents refused to buy him a games console, he figured out that the many pages of printouts he was reading and re-entering into a different computing system could be sped up with a computer program linking up the two. “I put myself out of a job,” he joked.

His educational life epitomises the kind of lateral thinking that often produces the most interesting ideas. Liu went on to Harvard to study not computer science, but physics and art. Doing a double major required working on a thesis that merged the two disciplines together, and Liu built “electrodynamic equations that composed graphical structures on the fly” — basically generating art using algorithms — which he then turned into a “Turing test” to see if people could detect pixelated actual work with that of his program. Distill this, and Liu was still thinking about patterns in analog material that could be re-created using math.

Then came years at McKinsey in London (how he arrived on these shores) during the financial crisis where the results of people either intentionally or mistakenly overlooking crucial text-based data produced stark and catastrophic results. “I would say the problem that we eventually started to solve for at Eigen became tangible,” Liu said.

Then came a physics PhD at Oxford where Liu worked on X-ray lasers that could be used to decrease the complexity and cost of making microchips, cancer treatments and other applications.

While Eigen doesn’t actually use lasers, some of the mathematical equations that Liu came up with for these have also become a part of Eigen’s approach.

“The whole idea [for my PhD] was, ‘how do we make this cheaper and more scalable?,’ ” he said. “We built a new class of X-ray laser apparatus, and we realised the same equations could be used in pattern matching algorithms, specifically around sequential patterns. And out of that, and my existing corporate relationships, that’s how Eigen started.”

Five years on, Eigen has added a lot more into the platform beyond what came from Liu’s original ideas. There are more data scientists and engineers building the engine around the basic idea, and customising it to work with more sectors beyond finance. 

There are a number of AI companies building tools for non-technical business end-users, and one of the areas that comes close to what Eigen is doing is robotic process automation, or RPA. Liu notes that while this is an important area, it’s more about reading forms more readily and providing insights to those. The focus of Eigen is more on unstructured data, and the ability to parse it quickly and securely using just a few samples.

Liu points to companies like IBM (with Watson) as general competitors, while startups like Luminance is another taking a similar approach to Eigen by addressing the issue of parsing unstructured data in a specific sector (in its case, currently, the legal profession).

Stephen Nundy, a partner and the CTO of Lakestar, said that he first came into contact with Eigen when he was at Goldman Sachs, where he was a managing director overseeing technology, and the bank engaged it for work.

“To see what these guys can deliver, it’s to be applauded,” he said. “They’re not just picking out names and addresses. We’re talking deep, semantic understanding. Other vendors are trying to be everything to everybody, but Eigen has found market fit in financial services use cases, and it stands up against the competition. You can see when a winner is breaking away from the pack and it’s a great signal for the future.”

Oct
07
2019
--

83North closes $300M fifth fund focused on Europe, Israel

83North has closed its fifth fund, completing an oversubscribed $300 million raise and bringing its total capital under management to $1.1BN+.

The VC firm, which spun out from Silicon Valley giant Greylock Partners in 2015 — and invests in startups in Europe and Israel, out of offices in London and Tel Aviv — last closed a $250M fourth fund back in 2017.

It invests in early and growth stage startups in consumer and enterprise sectors across a broad range of tech areas including fintech, data centre & cloud, enterprise software and marketplaces.

General partner Laurel Bowden, who leads the fund, says the latest close represents investment business as usual, with also no notable changes to the mix of LPs investing for this fifth close.

“As a fund we’re really focused on keeping our fund size down. We think that for just the investment opportunity in Europe and Israel… these are good sized funds to raise and then return and make good multiples on,” she tells TechCrunch. “If you go back in the history of our fundraising we’re always somewhere between $200M-$300M. And that’s the size we like to keep.”

“Of course we do think there’s great opportunities in Europe and Israel but not significantly different than we’ve thought over the last 15 years or so,” she adds.

83North has made around 70 investments to date — which means its five partners are usually making just one investment apiece per year.

The fund typically invests around $1M at the seed level; between $4M-$8M at the Series A level and up to $20M for Series B, with Bowden saying around a quarter of its investments go into seed (primarily into startups out of Israel); ~40% into Series A; and ~30% Series B.

“It’s somewhat evenly mixed between seed, Series A, Series B — but Series A is probably bigger than everything,” she adds.

It invests roughly half and half in its two regions of focus.

The firm has had 15 exits of portfolio companies (three of which it claims as unicorns). Recent multi-billion dollar exits for Bowden are: Just Eat, Hybris (acquired by SAP), iZettle (acquired by PayPal) and Qlik.

While 83North has a pretty broad investment canvas, it’s open to new areas — moving into IoT (with recent investments in Wiliot and VDOO), and also taking what it couches as a “growing interest” in healthtech and vertical SaaS. 

“Some of my colleagues… are looking at areas like lidar, in-vehicle automation, looking at some of the drone technologies, looking at some even healthtech AI,” says Bowden. “We’ve looked at a couple of those in Europe as well. I’ve looked, actually, at some healthtech AI. I haven’t done anything but looked.

“And also all things related to data. Of course the market evolves and the technology evolves but we’ve done things related to BI to process automation through to just management of data ops, management of data. We always look at that area. And think we’ll carry on for a number of years. ”

“In venture you have to expand,” she adds. “You can’t just stay investing in exactly the same things but it’s more small additional add-ons as the market evolves, as opposed to fundamental shifts of investment thesis.”

Discussing startup valuations, Bowden says European startups are not insulated from wider investment dynamics that have been pushing startup valuations higher — and even, arguably, warping the market — as a consequence of more capital being raised generally (not only at the end of the pipe).

“Definitely valuations are getting pushed up,” she says. “Definitely things are getting more competitive but that comes back to exactly why we’re focused on raising smaller funds. Because we just think then we have less pressure to invest if we feel that valuations have got too high or there’s just a level… where startups just feel the inclination to raise way more money than they probably need — and that’s a big reason why we like to keep our fund size relatively small.”

Aug
29
2019
--

Marc Benioff will discuss building a socially responsible and successful startup at TechCrunch Disrupt

Salesforce chairman, co-founder and CEO Marc Benioff took a lot of big chances when he launched the company 20 years ago. For starters, his was one of the earliest enterprise SaaS companies, but he wasn’t just developing a company on top of a new platform, he was building one from scratch with social responsibility built-in.

Fast-forward 20 years and that company is wildly successful. In its most recent earnings report, it announced a $4 billion quarter, putting it on a $16 billion run rate, and making it by far the most successful SaaS company ever.

But at the heart of the company’s DNA is a charitable streak, and it’s not something they bolted on after getting successful. Even before the company had a working product, in the earliest planning documents, Salesforce wanted to be a different kind of company. Early on, it designed the 1-1-1 philanthropic model that set aside 1% of Salesforce’s equity, and 1% of its product and 1% of its employees’ time to the community. As the company has grown, that model has serious financial teeth now, and other startups over the years have also adopted the same approach using Salesforce as a model.

In our coverage of Dreamforce, the company’s enormous annual customer conference, in 2016, Benioff outlined his personal philosophy around giving back:

You are at work, and you have great leadership skills. You can isolate yourselves and say I’m going to put those skills to use in a box at work, or you can say I’m going to have an integrated life. The way I look at the world, I’m going to put those skills to work to make the world a better place.

This year Benioff is coming to TechCrunch Disrupt in San Francisco to discuss with TechCrunch editors how to build a highly successful business, while giving back to the community and the society your business is part of. In fact, he has a book coming out in mid-October called Trailblazer: The Power of Business as the Greatest Platform for Change, in which he writes about how businesses can be a positive social force.

Benioff has received numerous awards over the years for his entrepreneurial and charitable spirit, including Innovator of the Decade from Forbes, one of the World’s 25 Greatest Leaders from Fortune, one of the 10 Best-Performing CEOs from Harvard Business Review, GLAAD, the Billie Jean King Leadership Initiative for his work on equality and the Variety Magazine EmPOWerment Award.

It’s worth noting that in 2018, a group of 618 Salesforce employees presented Benioff with a petition protesting the company’s contract with the Customs and Border Patrol (CBP). Benioff in public comments stated that the tools were being used in recruitment and management, and not helping to separate families at the border. While Salesforce did not cancel the contract, at the time, co-CEO Keith Block stated that the company would donate $1 million to organizations helping separated families, as well as match any internal employee contributions through its charitable arm, Salesforce.org.

Disrupt SF runs October 2 to October 4 at the Moscone Center in the heart of San Francisco. Tickets are available here.

Did you know Extra Crunch annual members get 20% off all TechCrunch event tickets? Head over here to get your annual pass, and then email extracrunch@techcrunch.com to get your 20% discount. Please note that it can take up to 24 hours to issue the discount code.


Aug
27
2019
--

SAP covers hot topics at TechCrunch’s Sept. 5 Enterprise show in SF

You can’t talk enterprise software without talking SAP, one of the giants in a $500 billion industry. And not only will SAP’s CEO Bill McDermott share insights at TC Sessions: Enterprise 2019 on September 5, but the company will also sponsor two breakout sessions.

The editors will sit down with McDermott and talk about SAP’s quick growth due, in part, to several $1 billion-plus acquisitions. We’re also curious to hear about his approach to acquisitions and his strategy for growing the company in a quickly changing market. No doubt he’ll weigh in on the state of enterprise software in general, too.

Now about those breakout sessions. They run in parallel to our Main Stage set and we have a total of two do-not-miss presentations for you to enjoy. On September 5, you’ll enjoy three breakout sessions –two from SAP and one from Pricefx. You can check out the agenda for TC Sessions: Enterprise, but we want to shine the light on the sponsored sessions to give you a sense of the quality content you can expect:

  • Innovating for a Super-Human Future 
    Martin Wezowski (SAP)
    We talk about change, but what are the mechanics and the dynamics behind it? And how fast is it? The noted futurist will discuss what it means to be an innovator is transforming faster than before, and this transformation is deeply rooted in the challenges and promises between cutting-edge tech and humanism. The symbiosis between human creativity & empathy and machine intelligence opens new worlds for our imagination in a time when “now” has never been so temporary, and helps us answer the question: “What is human, and what is work in a superhuman future?” (Sponsored by SAP)
  • Pricing from Day One
    Madhavan Ramanujam (Simon-Kucher & Partners, Gabriel Smith) and Darius Jakubik (Pricefx) A key ingredient distinguishing top performing companies is clear focus on price. To maximize revenue and profits, pricing should be a C-level / boardroom consideration. To optimize pricing, you should think about price when determining which products and features to bring to market; put the people, process and technology in place to optimize it; and maintain flexibility to adjust strategy and tactics to respond to changing markets. By doing so, companies unlock the single greatest profit lever that exists. (Sponsored by Pricefx)
  • Cracking the Code: From Startup to Scaleup in Enterprise Software 
    Ram Jambunathan (SAP.iO), Lonnie Rae Kurlander (Medal), Caitlin MacGregor (Plum) and Dimitri Sirota (BigID) The startup journey is hard. Data shows that 70% of upstart tech companies fail, while only 1% of these startups will go on to gain unicorn status. Success in enterprise software often requires deep industry experience, strong networks, brutally efficient execution and a bit of luck. This panel brings together three successful SAP.iO Fund-backed enterprise startups for an open discussion on lessons learned, challenges of scaling and why the right strategic investors or partners can be beneficial even at early stages. (Sponsored by SAP)

TC Sessions: Enterprise 2019 takes place in San Francisco on September 5. It’s a jam-packed day (agenda here) filled with interviews, panel discussions and breakouts — from some of the top minds in enterprise software. Buy your ticket today and remember: You receive a free Expo-only pass to TechCrunch Disrupt SF 2019 for every ticket you buy.

Aug
22
2019
--

Enterprise software is hot — who would have thought?

Once considered the most boring of topics, enterprise software is now getting infused with such energy that it is arguably the hottest space in tech.

It’s been a long time coming. And it is the developers, software engineers and veteran technologists with deep experience building at-scale technologies who are energizing enterprise software. They have learned to build resilient and secure applications with open-source components through continuous delivery practices that align technical requirements with customer needs. And now they are developing application architectures and tools for at-scale development and management for enterprises to make the same transformation.

“Enterprise had become a dirty word, but there’s a resurgence going on and Enterprise doesn’t just mean big and slow anymore,” said JD Trask, co-founder of Raygun enterprise monitoring software. “I view the modern enterprise as one that expects their software to be as good as consumer software. Fast. Easy to use. Delivers value.”

The shift to scale out computing and the rise of the container ecosystem, driven largely by startups, is disrupting the entire stack, notes Andrew Randall, vice president of business development at Kinvolk.

In advance of TechCrunch’s first enterprise-focused event, TC Sessions: Enterprise, The New Stack examined the commonalities between the numerous enterprise-focused companies who sponsor us. Their experiences help illustrate the forces at play behind the creation of the modern enterprise tech stack. In every case, the founders and CTOs recognize the need for speed and agility, with the ultimate goal of producing software that’s uniquely in line with customer needs.

We’ll explore these topics in more depth at The New Stack pancake breakfast and podcast recording at TC Sessions: Enterprise. Starting at 7:45 a.m. on Sept. 5, we’ll be serving breakfast and hosting a panel discussion on “The People and Technology You Need to Build a Modern Enterprise,” with Sid Sijbrandij, founder and CEO, GitLab, and Frederic Lardinois, enterprise writer and editor, TechCrunch, among others. Questions from the audience are encouraged and rewarded, with a raffle prize awarded at the end.

Traditional virtual machine infrastructure was originally designed to help manage server sprawl for systems-of-record software — not to scale out across a fabric of distributed nodes. The disruptors transforming the historical technology stack view the application, not the hardware, as the main focus of attention. Companies in The New Stack’s sponsor network provide examples of the shift toward software that they aim to inspire in their enterprise customers. Portworx provides persistent state for containers; NS1 offers a DNS platform that orchestrates the delivery internet and enterprise applications; Lightbend combines the scalability and resilience of microservices architecture with the real-time value of streaming data.

“Application development and delivery have changed. Organizations across all industry verticals are looking to leverage new technologies, vendors and topologies in search of better performance, reliability and time to market,” said Kris Beevers, CEO of NS1. “For many, this means embracing the benefits of agile development in multicloud environments or building edge networks to drive maximum velocity.”

Enterprise software startups are delivering that value, while they embody the practices that help them deliver it.

The secrets to speed, agility and customer focus

Speed matters, but only if the end result aligns with customer needs. Faster time to market is often cited as the main driver behind digital transformation in the enterprise. But speed must also be matched by agility and the ability to adapt to customer needs. That means embracing continuous delivery, which Martin Fowler describes as the process that allows for the ability to put software into production at any time, with the workflows and the pipeline to support it.

Continuous delivery (CD) makes it possible to develop software that can adapt quickly, meet customer demands and provide a level of satisfaction with benefits that enhance the value of the business and the overall brand. CD has become a major category in cloud-native technologies, with companies such as CircleCI, CloudBees, Harness and Semaphore all finding their own ways to approach the problems enterprises face as they often struggle with the shift.

“The best-equipped enterprises are those [that] realize that the speed and quality of their software output are integral to their bottom line,” Rob Zuber, CTO of CircleCI, said.

Speed is also in large part why monitoring and observability have held their value and continue to be part of the larger dimension of at-scale application development, delivery and management. Better data collection and analysis, assisted by machine learning and artificial intelligence, allow companies to quickly troubleshoot and respond to customer needs with reduced downtime and tight DevOps feedback loops. Companies in our sponsor network that fit in this space include Raygun for error detection; Humio, which provides observability capabilities; InfluxData with its time-series data platform for monitoring; Epsagon, the monitoring platform for serverless architectures and Tricentis for software testing.

“Customer focus has always been a priority, but the ability to deliver an exceptional experience will now make or break a “modern enterprise,” said Wolfgang Platz, founder of Tricentis, which makes automated software testing tools. “It’s absolutely essential that you’re highly responsive to the user base, constantly engaging with them to add greater value. This close and constant collaboration has always been central to longevity, but now it’s a matter of survival.”

DevOps is a bit overplayed, but it still is the mainstay workflow for cloud-native technologies and critical to achieving engineering speed and agility in a decoupled, cloud-native architecture. However, DevOps is also undergoing its own transformation, buoyed by the increasing automation and transparency allowed through the rise of declarative infrastructure, microservices and serverless technologies. This is cloud-native DevOps. Not a tool or a new methodology, but an evolution of the longstanding practices that further align developers and operations teams — but now also expanding to include security teams (DevSecOps), business teams (BizDevOps) and networking (NetDevOps).

“We are in this constant feedback loop with our customers where, while helping them in their digital transformation journey, we learn a lot and we apply these learnings for our own digital transformation journey,” Francois Dechery, chief strategy officer and co-founder of CloudBees, said. “It includes finding the right balance between developer freedom and risk management. It requires the creation of what we call a continuous everything culture.”

Leveraging open-source components is also core in achieving speed for engineering. Open-source use allows engineering teams to focus on building code that creates or supports the core business value. Startups in this space include Tidelift and open-source security companies such as Capsule8. Organizations in our sponsor portfolio that play roles in the development of at-scale technologies include The Linux Foundation, the Cloud Native Computing Foundation and the Cloud Foundry Foundation.

“Modern enterprises … think critically about what they should be building themselves and what they should be sourcing from somewhere else,” said Chip Childers, CTO of Cloud Foundry Foundation . “Talented engineers are one of the most valuable assets a company can apply to being competitive, and ensuring they have the freedom to focus on differentiation is super important.”

You need great engineering talent, giving them the ability to build secure and reliable systems at scale while also the trust in providing direct access to hardware as a differentiator.

Is the enterprise really ready?

The bleeding edge can bleed too much for the likings of enterprise customers, said James Ford, an analyst and consultant.

“It’s tempting to live by mantras like ‘wow the customer,’ ‘never do what customers want (instead build innovative solutions that solve their need),’ ‘reduce to the max,’ … and many more,” said Bernd Greifeneder, CTO and co-founder of Dynatrace . “But at the end of the day, the point is that technology is here to help with smart answers … so it’s important to marry technical expertise with enterprise customer need, and vice versa.”

How the enterprise adopts new ways of working will affect how startups ultimately fare. The container hype has cooled a bit and technologists have more solid viewpoints about how to build out architecture.

One notable trend to watch: The role of cloud services through projects such as Firecracker. AWS Lambda is built on Firecracker, the open-source virtualization technology, built originally at Amazon Web Services . Firecracker serves as a way to get the speed and density that comes with containers and the hardware isolation and security capabilities that virtualization offers. Startups such as Weaveworks have developed a platform on Firecracker. OpenStack’s Kata containers also use Firecracker.

“Firecracker makes it easier for the enterprise to have secure code,” Ford said. It reduces the surface security issues. “With its minimal footprint, the user has control. It means less features that are misconfigured, which is a major security vulnerability.”

Enterprise startups are hot. How they succeed will determine how well they may provide a uniqueness in the face of the ever-consuming cloud services and at-scale startups that inevitably launch their own services. The answer may be in the middle with purpose-built architectures that use open-source components such as Firecracker to provide the capabilities of containers and the hardware isolation that comes with virtualization.

Hope to see you at TC Sessions: Enterprise. Get there early. We’ll be serving pancakes to start the day. As we like to say, “Come have a short stack with The New Stack!”

Aug
14
2019
--

Every TC Sessions: Enterprise 2019 ticket includes a free pass to Disrupt SF

Shout out to all the savvy enterprise software startuppers. Here’s a quick, two-part money-saving reminder. Part one: TC Sessions: Enterprise 2019 is right around the corner on September 5, and you have only two days left to buy an early-bird ticket and save yourself $100. Part two: for every Session ticket you buy, you get one free Expo-only pass to TechCrunch Disrupt SF 2019.

Save money and increase your ROI by completing one simple task: buy your early-bird ticket today.

About 1,000 members of enterprise software’s powerhouse community will join us for a full day dedicated to exploring the current and future state of enterprise software. It’s certainly tech’s 800-pound gorilla — a $500 billion industry. Some of the biggest names and brightest minds will be on hand to discuss critical issues all players face — from early-stage startups to multinational conglomerates.

The day’s agenda features panel discussions, main-stage talks, break-out sessions and speaker Q&As on hot topics including intelligent marketing automation, the cloud, data security, AI and quantum computing, just to name a few. You’ll hear from people like SAP CEO Bill McDermott; Aaron Levie, Box co-founder; Jim Clarke, director of Quantum Hardware at Intel and many, many more.

Customer experience is always a hot topic, so be sure to catch this main-stage panel discussion with Amit Ahuja (Adobe), Julie Larson-Green (Qualtrics) and Peter Reinhardt (Segment):

The Trials and Tribulations of Experience Management: As companies gather more data about their customers and employees, it should theoretically improve their experience, but myriad challenges face companies as they try to pull together information from a variety of vendors across disparate systems, both in the cloud and on prem. How do you pull together a coherent picture of your customers, while respecting their privacy and overcoming the technical challenges?

TC Sessions: Enterprise 2019 takes place in San Francisco on September 5. Take advantage of this two-part money-saving opportunity. Buy your early-bird ticket by August 16 at 11:59 p.m. (PT) to save $100. And score a free Expo-only pass to TechCrunch Disrupt SF 2019 for every ticket you buy. We can’t wait to see you in September!

Interested in sponsoring TC Sessions: Enterprise? Fill out this form and a member of our sales team will contact you.

Aug
09
2019
--

Adobe’s Amit Ahuja will be talking customer experience at TechCrunch Sessions: Enterprise

As companies collect increasingly large amounts of data about customers, the end game is about improving the customer experience. It’s a term we’re hearing a lot of these days, and we are going to be discussing that very topic with Amit Ahuja, Adobe’s vice president of ecosystem development, next month at TechCrunch Sessions: Enterprise in San Francisco. Grab your early-bird tickets right now — $100 savings ends today!

Customer experience covers a broad array of enterprise software and includes data collection, analytics and software. Adobe deals with all of this, including the Adobe Experience Platform for data collection, Adobe Analytics for visualization and understanding and Adobe Experience Cloud for building applications.

The idea is to begin to build an understanding of your customers through the various interactions you have with them, and then build applications to give them a positive experience. There is a lot of talk about “delighting” customers, but it’s really about using the digital realm to help them achieve what they want as efficiently as possible, whatever that means to your business.

Ahuja will be joining TechCrunch’s editors, along with Qualtrics chief experience officer Julie Larson-Green and Segment CEO Peter Reinhardt to discuss the finer points of what it means to build a customer experience, and how software can help drive that.

Ahuja has been with Adobe since 2005 when he joined as part of the $3.4 billion Macromedia acquisition. His primary role today involves building and managing strategic partnerships and initiatives. Prior to this, he was the head of Emerging Businesses and the GM of Adobe’s Data Management Platform business, which focuses on advertisers. He also spent seven years in Adobe’s Corporate Development Group, where he helped complete the acquisitions of Omniture, Scene7, Efficient Frontier, Demdex and Auditude.

Amit will be joining us on September 5 in San Francisco, along with some of the biggest influencers in enterprise, including Bill McDermott from SAP, Scott Farquhar from Atlassian, Aparna Sinha from Google, Wendy Nather from Duo Security, Aaron Levie from Box and Andrew Ng from Landing AI.

Early-bird savings end today, August 9. Book your tickets today and you’ll save $100 before prices go up.

Bringing a group? Book our 4+ group tickets and you’ll save 20% on the early-bird rate. Bring the whole squad here.

Aug
06
2019
--

72 hours left on early-bird pricing to TC Sessions: Enterprise 2019

Synchronize your Fitbits, people. You have 72 hours left to get your fiscal fitness on. Three days to save $100 on tickets to TC Sessions: Enterprise 2019 in San Francisco on September 5. Buy your early-bird ticket by August 9 at 11:59 p.m. (PT) and then go back to counting your steps.

We say with confidence that no tech category’s more competitive than enterprise software. The gigantic, $500 billion market generates a constant flow of multibillion-dollar acquisitions every year. And it takes a special kind of fierce early-stage enterprise startup to jump in, invent new services and shake up old-school incumbents.

More than 1,000 attendees will be in the house to explore this rich, complex topic, TechCrunch-style. Our editors will interview top titans in the enterprise world — like SAP CEO, Bill McDermott; Atlassian co-founder, Scott Farquhar; and Jocelyn Goldfein, managing director at Zetta Venture Partners. They’ll also tap rising founders of upstart startups.

The enterprise just can’t get enough of AI, but large companies face a huge challenge: packaging all that data in machine learning models — a necessary element for using AI to automate processes. That’s why we’re especially excited that Bindu Reddy, co-founder and CEO at RealityEngines, will join us onstage.

Her company aims to create research-driven cloud services to reduce some of the inherent complexity of working with AI tools. Reddy, along with investor Jocelyn Goldfein, a managing director at Zetta Venture Partners, and others will talk about the growing role of AI in the enterprise.

That’s just the tip of the Enterprise iceberg. More than 20 interviews, panel discussions, Q&As and breakout sessions will cover a wide range of technologies, including intelligent marketing automation, the cloud, Kubernetes and even quantum and blockchain. Peruse the agenda to see what else we have in store for you.

Early-bird pricing for TC Sessions: Enterprise 2019 ends in just 72 hours. Buy your ticket by August 9 at 11:59 p.m. (PT) and you’ll save $100. But wait, there’s more — for every ticket you buy, we’ll register you for a free Expo-only pass to TechCrunch Disrupt SF 2019. Now that’s fiscal fitness.

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

Powered by WordPress | Theme: Aeros 2.0 by TheBuckmaker.com