Jun
01
2020
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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.

May
29
2020
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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

May
21
2020
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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.”

May
14
2020
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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.

May
13
2020
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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.

May
07
2020
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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

May
06
2020
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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

May
04
2020
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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”).

Apr
21
2020
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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

Apr
01
2020
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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.

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