Which emerging technologies are enterprise companies getting serious about in 2020?

Startups need to live in the future. They create roadmaps, build products and continually upgrade them with an eye on next year — or even a few years out.

Big companies, often the target customers for startups, live in a much more near-term world. They buy technologies that can solve problems they know about today, rather than those they may face a couple bends down the road. In other words, they’re driving a Dodge, and most tech entrepreneurs are driving a DeLorean equipped with a flux-capacitor.

That situation can lead to a huge waste of time for startups that want to sell to enterprise customers: a business development black hole. Startups are talking about technology shifts and customer demands that the executives inside the large company — even if they have “innovation,” “IT,” or “emerging technology” in their titles — just don’t see as an urgent priority yet, or can’t sell to their colleagues.

How do you avoid the aforementioned black hole? Some recent research that my company, Innovation Leader, conducted in collaboration with KPMG LLP, suggests a constructive approach.

Rather than asking large companies about which technologies they were experimenting with, we created four buckets, based on what you might call “commitment level.” (Our survey had 211 respondents, 62% of them in North America and 59% at companies with greater than $1 billion in annual revenue.) We asked survey respondents to assess a list of 16 technologies, from advanced analytics to quantum computing, and put each one into one of these four buckets. We conducted the survey at the tail end of Q3 2020.

Respondents in the first group were “not exploring or investing” — in other words, “we don’t care about this right now.” The top technology there was quantum computing.

Bucket #2 was the second-lowest commitment level: “learning and exploring.” At this stage, a startup gets to educate its prospective corporate customer about an emerging technology — but nabbing a purchase commitment is still quite a few exits down the highway. It can be constructive to begin building relationships when a company is at this stage, but your sales staff shouldn’t start calculating their commissions just yet.

Here are the top five things that fell into the “learning and exploring” cohort, in ranked order:

  1. Blockchain.
  2. Augmented reality/mixed reality.
  3. Virtual reality.
  4. AI/machine learning.
  5. Wearable devices.

Technologies in the third group, “investing or piloting,” may represent the sweet spot for startups. At this stage, the corporate customer has already discovered some internal problem or use case that the technology might address. They may have shaken loose some early funding. They may have departments internally, or test sites externally, where they know they can conduct pilots. Often, they’re assessing what established tech vendors like Microsoft, Oracle and Cisco can provide — and they may find their solutions wanting.

Here’s what our survey respondents put into the “investing or piloting” bucket, in ranked order:

  1. Advanced analytics.
  2. AI/machine learning.
  3. Collaboration tools and software.
  4. Cloud infrastructure and services.
  5. Internet of things/new sensors.

By the time a technology is placed into the fourth category, which we dubbed “in-market or accelerating investment,” it may be too late for a startup to find a foothold. There’s already a clear understanding of at least some of the use cases or problems that need solving, and return-on-investment metrics have been established. But some providers have already been chosen, based on successful pilots and you may need to dislodge someone that the enterprise is already working with. It can happen, but the headwinds are strong.

Here’s what the survey respondents placed into the “in-market or accelerating investment” bucket, in ranked order:


By Walter Thompson

Privacy data management innovations reduce risk, create new revenue channels

Privacy data mismanagement is a lurking liability within every commercial enterprise. The very definition of privacy data is evolving over time and has been broadened to include information concerning an individual’s health, wealth, college grades, geolocation and web surfing behaviors. Regulations are proliferating at state, national and international levels that seek to define privacy data and establish controls governing its maintenance and use.

Existing regulations are relatively new and are being translated into operational business practices through a series of judicial challenges that are currently in progress, adding to the confusion regarding proper data handling procedures. In this confusing and sometimes chaotic environment, the privacy risks faced by almost every corporation are frequently ambiguous, constantly changing and continually expanding.

Conventional information security (infosec) tools are designed to prevent the inadvertent loss or intentional theft of sensitive information. They are not sufficient to prevent the mismanagement of privacy data. Privacy safeguards not only need to prevent loss or theft but they must also prevent the inappropriate exposure or unauthorized usage of such data, even when no loss or breach has occurred. A new generation of infosec tools is needed to address the unique risks associated with the management of privacy data.

The first wave of innovation

A variety of privacy-focused security tools emerged over the past few years, triggered in part by the introduction of GDPR (General Data Protection Regulation) within the European Union in 2018. New capabilities introduced by this first wave of innovation were focused in the following three areas:

Data discovery, classification and cataloging. Modern enterprises collect a wide variety of personal information from customers, business partners and employees at different times for different purposes with different IT systems. This data is frequently disseminated throughout a company’s application portfolio via APIs, collaboration tools, automation bots and wholesale replication. Maintaining an accurate catalog of the location of such data is a major challenge and a perpetual activity. BigID, DataGuise and Integris Software have gained prominence as popular solutions for data discovery. Collibra and Alation are leaders in providing complementary capabilities for data cataloging.

Consent management. Individuals are commonly presented with privacy statements describing the intended use and safeguards that will be employed in handling the personal data they supply to corporations. They consent to these statements — either explicitly or implicitly — at the time such data is initially collected. Osano, Transcend.io and DataGrail.io specialize in the management of consent agreements and the enforcement of their terms. These tools enable individuals to exercise their consensual data rights, such as the right to view, edit or delete personal information they’ve provided in the past.


By Walter Thompson

‘One day we were in the office and the next we were working from home’

Ryan Easter couldn’t believe he was being asked to run a pandemic business continuity test.

It was late October, 2019 and Easter, IT Director and a principal at Johnson Investment Counsel, was being asked by regulators to ensure that their employees could work from home with the same capabilities they had in the office. In addition, the company needed to evaluate situations where up to 50% of personnel were impacted by a virus and unable to work, forcing others to pick up their internal functions and workload.

“I honestly thought that it was going to be a waste of time,” said Easter. “I never imagined that we would have had to put our pandemic plan into action. But because we had a tested strategy already in place, we didn’t miss a beat when COVID-19 struck.”

In the months leading up to the initial test, Johnson Investment Counsel developed a work anywhere blueprint with their technology partner Evolve IP. The plan covered a wide variety of integrated technologies including voice services, collaboration, virtual desktops, disaster recovery and remote office connectivity.

“Having a strategy where our work anywhere services were integrated together was one of the keys to our success,” said Easter. “We manage about $13 billion in assets for clients across the United States and provide comprehensive wealth and investment management to individual and institutional investors. We have our own line of mutual funds, a state-chartered trust company, a proprietary charitable gift fund, with research analysts and traders covering both equity and fixed income markets. Duct taping one-off solutions wasn’t going to cut it.”

Easter continued, “It was imperative that our advisors could communicate with clients, collaborate with each other and operate the business seamlessly. That included ensuring we could make real-time trades and provide all of our other client services.”

Five months later, the novel coronavirus hit the United States and Johnson Investment Counsel’s blueprint test got real.


By Walter Thompson

Gauging growth in the most challenging environment in decades

Traditionally, measuring business success requires a greater understanding of your company’s go-to-market lifecycle, how customers engage with your product and the macro-dynamics of your market. But in the most challenging environment in decades, those metrics are out the window.

Enterprise application and SaaS companies are changing their approach to measuring performance and preparing to grow when the economy begins to recover. While there are no blanket rules or guidance that applies to every business, company leaders need to focus on a few critical metrics to understand their performance and maximize their opportunities. This includes understanding their burn rate, the overall real market opportunity, how much cash they have on hand and their access to capital. Analyzing the health of the company through these lenses will help leaders make the right decisions on how to move forward.

Play the game with the hand you were dealt. Earlier this year, our company closed a $40 million Series C round of funding, which left us in a strong cash position as we entered the market slowdown in March. Nonetheless, as the impact of COVID-19 became apparent, one of our board members suggested that we quickly develop a business plan that assumed we were running out of money. This would enable us to get on top of the tough decisions we might need to make on our resource allocation and the size of our staff.

While I understood the logic of his exercise, it is important that companies develop and execute against plans that reflect their actual situation. The reality is, we did raise the money, so we revised our plan to balance ultra-conservative forecasting (and as a trained accountant, this is no stretch for me!) with new ideas for how to best utilize our resources based on the market situation.

Burn rate matters, but not at the expense of your culture and your talent. For most companies, talent is both their most important resource and their largest expense. Therefore, it’s usually the first area that goes under the knife in order to reduce the monthly spend and optimize efficiency. Fortunately, heading into the pandemic, we had not yet ramped up hiring to support our rapid growth, so were spared from having to make enormously difficult decisions. We knew, however, that we would not hit our 2020 forecast, which required us to make new projections and reevaluate how we were deploying our talent.


By Walter Thompson

Is Zoom the next Android, or the next BlackBerry?

In business, there’s nothing so valuable as having the right product at the right time. Just ask Zoom, the hot cloud-based video conferencing platform experiencing explosive growth thanks to its sudden relevance in the age of sheltering in place.

Having worked at BlackBerry in its heyday in the early 2000s, I see a lot of parallels to what Zoom is going through right now. As Zooming into a video meeting or a classroom is today, so too was pulling out your BlackBerry to fire off an email or check your stocks circa 2002. Like Zoom, the company then known as Research in Motion had the right product for enterprise users that increasingly wanted to do business on the go.

Of course, BlackBerry’s story didn’t have a happy ending.

From 1999 to 2007, BlackBerry seemed totally unstoppable. But then Steve Jobs announced the iPhone, Google launched Android and all of the chinks in the BlackBerry armor started coming undone, one by one. How can Zoom avoid the same fate?

As someone who was at both BlackBerry and Android during their heydays, my biggest takeaway is that product experience trumps everything else. It’s more important than security (an issue Zoom is getting blasted about right now), what CIOs want, your user install base and the larger brand identity.

When the iPhone was released, many people within BlackBerry rightly pointed out that we had a technical leg up on Apple in many areas important to business and enterprise users (not to mention the physical keyboard for quickly cranking out emails)… but how much did that advantage matter in the end? If there is serious market pull, the rest eventually gets figured out… a lesson I learned from my time at BlackBerry that I was lucky enough to be able to immediately apply when I joined Google to work on Android.


By Walter Thompson

How startups can leverage elastic services for cost optimization

Due to COVID-19, business continuity has been put to the test for many companies in the manufacturing, agriculture, transport, hospitality, energy and retail sectors. Cost reduction is the primary focus of companies in these sectors due to massive losses in revenue caused by this pandemic. The other side of the crisis is, however, significantly different.

Companies in industries such as medical, government and financial services, as well as cloud-native tech startups that are providing essential services, have experienced a considerable increase in their operational demands — leading to rising operational costs. Irrespective of the industry your company belongs to, and whether your company is experiencing reduced or increased operations, cost optimization is a reality for all companies to ensure a sustained existence.

One of the most reliable measures for cost optimization at this stage is to leverage elastic services designed to grow or shrink according to demand, such as cloud and managed services. A modern product with a cloud-native architecture can auto-scale cloud consumption to mitigate lost operational demand. What may not have been obvious to startup leaders is a strategy often employed by incumbent, mature enterprises — achieving cost optimization by leveraging managed services providers (MSPs). MSPs enable organizations to repurpose full-time staff members from impacted operations to more strategic product lines or initiatives.

Why companies need cost optimization in the long run


By Walter Thompson

6 CISOs share their game plans for a post-pandemic world

Like all business leaders, chief information security officers (CISOs) have shifted their roles quickly and dramatically during the COVID-19 pandemic, but many have had to fight fires they never expected.

Most importantly, they’ve had to ensure corporate networks remain secure even with 100% of employees suddenly working from home. Controllers are moving millions between corporate accounts from their living rooms, HR managers are sharing employees’ personal information from their kitchen tables and tens of millions of workers are accessing company data using personal laptops and phones.

This unprecedented situation reveals once and for all that security is not only about preventing breaches, but also about ensuring fundamental business continuity.

While it might take time, everyone agrees the pandemic will end. But how will the cybersecurity sector look in a post-COVID-19 world? What type of software will CISOs want to buy in the near future, and two years down the road?

To find out, I asked six of the world’s leading CISOs to share their experiences during the pandemic and their plans for the future, providing insights on how cybersecurity companies should develop and market their solutions to emerge stronger:

The security sector will experience challenges, but also opportunities

The good news is, many CISOs believe that cybersecurity will weather the economic storm better than other enterprise software sectors. That’s because security has become even more top of mind during the pandemic; with the vast majority of corporate employees now working remotely, a secure network has never been more paramount, said Rinki Sethi, CISO at Rubrik. “Many security teams are now focused on ensuring they have controls in place for a completely remote workforce, so endpoint and network security, as well as identity and access management, are more important than ever,” said Sethi. “Additionally, business continuity and disaster recovery planning are critical right now — the ability to respond to a security incident and have a robust plan to recover from it is top priority for most security teams, and will continue to be for a long time.”

That’s not to say all security companies will necessarily thrive during this current economic crisis. Adrian Ludwig, CISO at Atlassian, notes that an overall decline in IT budgets will impact security spending. But the silver lining is that some companies will be acquired. “I expect we will see consolidation in the cybersecurity markets, and that most new investments by IT departments will be in basic infrastructure to facilitate work-from-home,” said Ludwig. “Less well-capitalized cybersecurity companies may want to begin thinking about potential exit opportunities sooner rather than later.”


By Walter Thompson

Why we’re doubling down on cloud investments right now

Years from now, people will look back on the COVID-19 pandemic as a watershed moment for society and the global economy.

Wearing a mask might be as common as owning a phone; telework, telemedicine and online education will be more of a norm than a backup plan; and for the global economy, the cloud will have transformed the underlying infrastructure of businesses and entire industries.

COVID-19 is a turning point for the cloud and cloud company founders. For its computing power and as a delivery model of software, the cloud has been embraced as a solution to many challenges that businesses face during today’s economic downturn and recovery. Not only is the cloud industry more resilient than other industries, but the cloud model offers businesses a promising future in the age of social distancing and beyond.

We believe that once founders find shelter in the cloud, they’ll never go back.

Cloud’s resiliency amid historic volatility

Over the past decade, there’s been a massive market shift from on-premises to cloud, as 94% of enterprises use at least one cloud service today. 2020 was already a milestone year for the cloud industry, as aggregate SaaS and IaaS run-rate revenue each crossed $100 billion, and the BVP Nasdaq Emerging Cloud Index (^EMCLOUD) market cap crossed $1 trillion in early February. Yet in a matter of days, as the COVID-19 pandemic spread, fear tore through financial markets.

In early March, public markets experienced the steepest crash in history with volatility we haven’t seen since the Great Recession. The cloud index market cap dropped to ~$750 million and cloud multiples returned close to their historical averages of ~7x while the VIX volatility index spiked to the mid-80s. Both at global highs in February 2020, the ^EMCLOUD and the S&P 500 traded off by roughly 35% by mid-March. Over the next two months, though, the ^EMCLOUD recouped those losses, charging to a new all-time high on May 7.

The cloud index has continued its rise since then, and as of the close on May 11 has a market cap above $1.2 trillion and has returned to the lofty 12x forward run rate revenue multiples from 2019. Similar to Adobe in 2012, we expect many enterprises to transition over to the cloud model, and the index will continue to expand. As we predicted in this year’s State of the Cloud 2020, by 2025 we expect the cloud to penetrate 50% of enterprise software.


By Walter Thompson

Startups are transforming global trade in the COVID-19 era

Global trade watchers breathed a sigh of relief on January 15, 2020.

After two years of threats, tariffs and tweets, there was finally a truce in the trade war between the U.S. and China. The agreement signed by President Trump and Chinese Vice Premier Liu He in the Oval Office didn’t resolve all trade tensions and maintained most of the $360 billion in tariffs the administration had put on Chinese goods. But for the first time in months, it looked like manufacturers, importers and shippers could start to put two difficult years behind them.

Then came COVID-19, at first a local disruption in Wuhan, China. Then it spread throughout Hubei province, causing havoc in a concentric circle that eventually engulfed the rest of China, where industrial production fell by more than 13.5% in the first two months of the year. When the virus spread everywhere, chaos ensued: Factories shuttered. Borders closed. Supply chains crumbled.

“It has had a cascading effect through the entire world’s economy,” says Anja Manuel, co-founder and managing partner of Rice, Hadley, Gates & Manuel LLC, an international strategic consulting firm based in Silicon Valley.

The crisis has caused a drastic contraction in global trade; the World Trade Organization estimates trade volumes will fall 13-20% in 2020. And spinning activity back up could be tricky: Even as China starts to get back online, the slowdown there could reduce worldwide exports by $50 billion this year. When factories do reopen, there’s no guarantee whether they will have parts available or empty warehouses, says Manuel, who also serves on the advisory board of Flexport, a shipping logistics startup. “Our supply chains are so tightly-knit and so just-in-time that throw a few wrenches in it like we’ve just done, and it’s going to be really hard to stand it back up again. The idea that we go back to normal the moment we lift restrictions is unlikely, fanciful, even.”

Getting to that new normal, though, is a job that a number of logistics startups are embracing. Already on the rise, companies like Flexport, Haven and Factiv see a global trade crisis as a setback, but also an opportunity to demonstrate the value of their digital platforms in a very much analog industry.

Information is king

As companies along the global supply chain reel from these fast-moving events, they are increasingly turning to firms that can offer them information — and the options that come with it.

“In moments of lots of volatility, you want to make sure the data you’re looking at is real,” says Sanne Manders, Flexport’s COO. “Where before you could get away with a weekly supply chain update, now you need accurate and timely data every minute. If you don’t, you’re not agile to make decisions.”


By Walter Thompson

Health APIs usher in the patient revolution we have been waiting for

If you’ve ever been stuck using a health provider’s clunky online patient portal or had to make multiple calls to transfer medical records, you know how difficult it is to access your health data.

In an era when control over personal data is more important than ever before, the healthcare industry has notably lagged behind — but that’s about to change. This past month, the U.S. Department of Health and Human Services (HHS) published two final rules around patient data access and interoperability that will require providers and payers to create APIs that can be used by third-party applications to let patients access their health data.

This means you will soon have consumer apps that will plug into your clinic’s health records and make them viewable to you on your smartphone.

Critics of the new rulings have voiced privacy concerns over patient health data leaving internal electronic health record (EHR) systems and being surfaced to the front lines of smartphone apps. Vendors such as Epic and many health providers have publicly opposed the HHS rulings, while others, such as Cerner, have been supportive.

While that debate has been heated, the new HHS rulings represent a final decision that follows initial rules proposed a year ago. It’s a multi-year win for advocates of greater data access and control by patients.

The scope of what this could lead to — more control over your health records, and apps on top of it — is immense. Apple has been making progress with its Health Records app for some time now, and other technology companies, including Microsoft and Amazon, have undertaken healthcare initiatives with both new apps and cloud services.

It’s not just big tech that is getting in on the action: startups are emerging as well, such as Commure and Particle Health, which help developers work with patient health data. The unlocking of patient health data could be as influential as the unlocking of banking data by Plaid, which powered the growth of multiple fintech startups, including Robinhood, Venmo and Betterment.

What’s clear is that the HHS rulings are here to stay. In fact, many of the provisions require providers and payers to provide partial data access within the next 6-12 months. With this new market opening up, though, it’s time for more health entrepreneurs to take a deeper look at what patient data may offer in terms of clinical and consumer innovation.

The incredible complexity of today’s patient data systems


By Walter Thompson

Enterprise companies find MLOps critical for reliability and performance

Enterprise startups UIPath and Scale have drawn huge attention in recent years from companies looking to automate workflows, from RPA (robotic process automation) to data labeling.

What’s been overlooked in the wake of such workflow-specific tools has been the base class of products that enterprises are using to build the core of their machine learning (ML) workflows, and the shift in focus toward automating the deployment and governance aspects of the ML workflow.

That’s where MLOps comes in, and its popularity has been fueled by the rise of core ML workflow platforms such as Boston-based DataRobot. The company has raised more than $430 million and reached a $1 billion valuation this past fall serving this very need for enterprise customers. DataRobot’s vision has been simple: enabling a range of users within enterprises, from business and IT users to data scientists, to gather data and build, test and deploy ML models quickly.

Founded in 2012, the company has quietly amassed a customer base that boasts more than a third of the Fortune 50, with triple-digit yearly growth since 2015. DataRobot’s top four industries include finance, retail, healthcare and insurance; its customers have deployed over 1.7 billion models through DataRobot’s platform. The company is not alone, with competitors like H20.ai, which raised a $72.5 million Series D led by Goldman Sachs last August, offering a similar platform.

Why the excitement? As artificial intelligence pushed into the enterprise, the first step was to go from data to a working ML model, which started with data scientists doing this manually, but today is increasingly automated and has become known as “auto ML.” An auto-ML platform like DataRobot’s can let an enterprise user quickly auto-select features based on their data and auto-generate a number of models to see which ones work best.

As auto ML became more popular, improving the deployment phase of the ML workflow has become critical for reliability and performance — and so enters MLOps. It’s quite similar to the way that DevOps has improved the deployment of source code for applications. Companies such as DataRobot and H20.ai, along with other startups and the major cloud providers, are intensifying their efforts on providing MLOps solutions for customers.

We sat down with DataRobot’s team to understand how their platform has been helping enterprises build auto-ML workflows, what MLOps is all about and what’s been driving customers to adopt MLOps practices now.

The rise of MLOps


By Walter Thompson

All product creators can learn something from Jackbox Games’ user experiences

During this period of shelter-in-place, people have had to seek out new forms of entertainment and social interaction. Many have turned to a niche party series made by a company best known for an irreverent trivia game in the ’90s called “You Don’t Know Jack.”

Since 2014, the annual release of the Jackbox Party Pack has delivered 4-5 casual party games that run on desktop, mobile and consoles that can be played in groups as small as two and as large as 10. In a clever twist, players use smartphones as controllers, which is perfect for typing in prompts, selecting options, making drawings, etc.

The games are tons of fun and perfect for playing with friends over video conference, and their popularity has skyrocketed, as indicated by Google Trends. I polled my own Twitter following and found that nearly half of folks had played in the last month, though a full third hadn’t heard of Jackbox at all.

How do these games work?

There are more than 20 unique games across Jackbox Party Packs 1-6, too many to explain — but here are three of the most popular:

  • Fibbage: A twist on the traditional trivia game, players are asked to invent an answer to a question of obscure knowledge (e.g. “a Swedish man who works as a dishwasher receives disability benefits due to his unusual addiction to ____.”) Then all the invented answers are mixed in with the truth and players must select the real answer while avoiding fakes. You earn points for guessing correctly and for tricking other players (the answer is “heavy metal”).


    By Walter Thompson

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


By Walter Thompson

A former chaos engineer offers 5 tips for handling online disasters remotely

I recently had a scheduled video conference call with a Fortune 100 company.

Everything on my end was ready to go; my presentation was prepared and well-practiced. I was set to talk to 30 business leaders who were ready to learn more about how they could become more resilient to major outages.

Unfortunately, their side hadn’t set up the proper permissions in Zoom to add new people to a trusted domain, so I wasn’t able to share my slides. We scrambled to find a workaround at the last minute while the assembled VPs and CTOs sat around waiting. I ended up emailing my presentation to their coordinator, calling in from my mobile and verbally indicating to the coordinator when the next slide needed to be brought up. Needless to say, it wasted a lot of time and wasn’t the most effective way to present.

At the end of the meeting, I said pointedly that if there was one thing they should walk away with, it’s that they had a vital need to run an online fire drill with their engineering team as soon as possible. Because if a team is used to working together in an office — with access to tools and proper permissions in place — it can be quite a shock to find out in the middle of a major outage that they can’t respond quickly and adequately. Issues like these can turn a brief outage into one that lasts for hours.

Quick context about me: I carried a pager for a decade at Amazon and Netflix, and what I can tell you is that when either of these services went down, a lot of people were unhappy. There were many nights where I had to spring out of bed at 2 a.m., rub the sleep from my eyes and work with my team to quickly identify the problem. I can also tell you that working remotely makes the entire process more complicated if teams are not accustomed to it.

There are many articles about best practices aimed at a general audience, but engineering teams have specific challenges as the ones responsible for keeping online services up and running. And while leading tech companies already have sophisticated IT teams and operations in place, what about financial institutions and hospitals and other industries where IT is a tool, but not a primary focus? It’s often the small things that can make all the difference when working remotely; things that seem obvious in the moment, but may have been overlooked.

So here are some tips for managing incidents remotely:

There were many nights where I had to spring out of bed at 2 a.m., rub the sleep from my eyes and work with my team to quickly identify the problem… working remotely makes the entire process more complicated if teams are not accustomed to it.


By Walter Thompson

How the information system industry became enterprise software

If you were a software company employee or venture capitalist in Silicon Valley before 1993, chances are you were talking about “Information Systems Software” and not “Enterprise Software.” How and why did the industry change its name?

The obvious, but perplexing answer is simple — “Star Trek: The Next Generation.”

As befuddling and mind-numbingly satisfying as it is to your local office Trekkie, the industry rebranded itself thanks to a marketing campaign from the original venture-backed system software company, Boole & Babbage (now BMC software).

While the term “Enterprise” was used to describe complex systems for years before 1993, everything changed when Boole & Babbage signed a two-year licensing agreement with the then-highest-rated show in syndication history to produce an infomercial.

Star Trek fans have been talking about this crazy marketing agreement for years, and you can read the full details about how it was executed in TrekCore. But even Trekkies don’t appreciate its long-term impacts on our industry. In this license agreement with Paramount, Boole & Babbage had unlimited rights to create and distribute as much Star Trek content as they could. They physically mailed VHS cassettes to customers, ran magazine ads and even dressed their employees as members of Starfleet at trade shows. Boole & Babbage used this push to market itself as the “Enterprise Automation Company.”

Commander Riker says in the infomercial, “just as the bridge centralizes the functions necessary to control the USS Enterprise, Boole’s products centralize data processing information to allow centralized control of today’s complex information systems.” This seemed to scratch an itch that other systems companies didn’t realize needed scratching.

Not to be outdone, IBM in 1994 rebranded their OS/2 operating system “OS/2 Warp,” referring to Star Trek’s “warp drive.” They also tried to replicate Babbage’s licensing agreement with Paramount by hiring the Enterprise’s Captain Picard (played by actor Patrick Stewart) to emcee the product launch. Unfortunately, Paramount wouldn’t play ball, and IBM hired Captain Janeway (played by actress Kate Mulgrew) from Star Trek: Voyager instead. The licensing issues didn’t stop IBM from also hiring Star Trek’s Mr. Spock (played by actor Leonard Nimoy) to tape a five-minute intro to the event:

Outside of OS/2, IBM’s 1994 announcement list included 13 other “enterprise” initiatives. Soon, leading software companies began to rebrand themselves and release products using the term “enterprise software” as a valuable identifier. MRP software makers like SAP and Baan began embracing the new “Enterprise” moniker after 1993 and in 1995, Lotus rebranded itself as an “Enterprise Software Company.”

“Enterprise” was officially the coolest new vernacular and after industry behemoth IBM bought Lotus in 1996, they incorporated “Enterprise” across all of their products. And while Gartner’s 1990 paper “ERP: A Vision of the Next-Generation MRP II” by Wylie is the technical birth of ERP software, no one cared until Commander Riker told Harold to “monitor your entire Enterprise from a single point of control.” The ngram numbers don’t lie:

Almost 30 years later, we live in a world in which business is run on enterprise software and the use of the term is ubiquitous. Whenever I see a software business plan come across my desk or read an article on enterprise software, I can’t help but give Commander Riker a little due credit.


By Walter Thompson