Disclaimer: We have not spoken to a WeWork executive and have no further background information. This is merely a thought experiment to exemplify what digital transformation is about.
WeWork, like so many other companies that depended on in-person interactions, is in deep trouble. After all, in a pandemic who wants to share physical co-working space. But could WeWork have fared better if they’d fully embraced digital transformation initiatives and created unique user experiences that extend digitally?
Although WeWork has the reputation of a cool startup in actuality it’s based entirely on an analog business model that happens to include technological aspects. Yet analog will never survive Digital Darwinism, now accelerated by COVID 19. If we were WeWork, the startup would have had a digital lifeline that would ensure they and their tenants survive the current crisis.
In the physical world, WeWork tenants meet with others off-line and online, mostly using their own (often imperfect) tools. The best digital tool WeWork came up with is a glitzy digital gadget for reservations, entrance and payment. But once out of the space, the stickiness disappears. Customer loyalty was born largely of convenience and the lack of a better, stickier alternative.
In today’s world, you have to go digital – even if your core business is based on analog. Here’s our three-step approach for a company like WeWork.
Clearly, digital reservation, access, and payment are the baseline – there is nothing innovative about that. A natural, next step is leveraging open APIs. Incredibly powerful, they provide unimaginable benefits when opened up to the public. APIs are a gift that will keep on giving and once up and running, they do so for free.
Through a developer portal the developer community would be able to create convenient plugins for WeWork tenants. For example, an extension to reserve WeWork space natively through an Outlook meeting with internal and external attendees. There is a thriving developer community eager to develop these types of plugins. All WeWork would need to do is to manage and monetize the API and nurture a developer community (e.g. via Hackathons). Why develop it in-house if the community is willing to develop it for free?
Additionally, to offer more convenience, WeWork could integrate its app with preferred vendors. WeWork tenants could order catering and supplies from within the app. Companies like SAP may want to embed WeWork accounting natively into their systems so all charges, whether the regular monthly/yearly fee, catering, or additional equipment are all automatically invoiced and charged. Like Uber for Business for all WeWork vendors.
Once up and running, step one and its already existing systems, processes, and data provide the perfect foundation to turn data into information, creating an additional stickiness.
Only WeWork knows reliably where its customers are, for how long, with how many people, and how that compares to companies comparable or aspirational to their tenants. With simple data analytics, WeWork can provide their clients with valuable insight such as:
“73% of companies in your industry and comparable in size used white boards in their meetings – you didn’t. 22% of those regarded as market leaders in your industry but located in other cities used WeWork half as often, but three times as long as your teams did.”
“We don’t know how productive you feel your team A is in comparison to your teams B and D, but we wanted to let you know that they have been using rooms for no more than seven people on average, have stayed two hours every time, and only ordered Red Bull. They also managed their bookings extremely well by spending only 68% per person per hour than the other teams within your organization.”
These are really simple data-driven insights. Nothing sophisticated but potentially valuable for WeWork customers. Now add machine learning to the equation and you’ll get nuggets like this:
“Over the past two years, 76% of the time on this day of the month, you’ve booked a week with us for fifteen people, starting the following Monday. Because it was a short lead time booking, you paid 7% more than if you had reserved the spaces a week earlier, and 12% more than if you had booked a month earlier. If you reserved similar spaces and time slots for the same number of people on a recurring basis for the next year, not only would you save 12%, but we will not charge you for not using our space twice in that time frame.”
Let’s get more sophisticated and add artificial intelligence for machine-based decision-making:
“Dear Ryan and Amy, your Digital WeWork Servant here. Don’t worry, I’ve:
“Oh, wow, thanks, WeWork!”
Now we are moving into defying-digital-Darwinism mode. Admittedly, it’s a heavy lift, but absolutely within reach. It will take time, budget, and relentless iterations that will never stop.
Imagine if WeWork not only provides obvious convenience features (step one) and intelligence (step two), but becomes a digital and physical place where teams, customers, employees, contractors, suppliers, partners, interviewees, mentors, service providers, the gig economy, everyone will convene on an ongoing basis.
Meet WeWork Cloud, a personal virtual office which integrates with all client apps. Outlook, Teams, Gmail, Zoom, Photoshop, Dropbox, GitLab, all a tenant needs to be productive and collaborate with their team, accessible by signing in once into WeWork Cloud from anywhere.
Not only does WeWork Cloud integrate with the tools clients already have, it also offers a marketplace where they can subscribe to, let’s say a “designer package” including Creative Adobe Cloud, Sketch, Sympli, Versions, Figma ProtoPie, InVision Studio, Procreate, Cinema 4D, Principle. A dream come true for any designer! With one click, the tool will be added to their virtual office space. No need to create an account or log in, it will be all preconfigured and accessible through WeWork Cloud.
In the marketplace recommendations section, tenants can explore new tools and recommendations based on their usage and what other users with similar behavior use – all fueled by machine learning and AI.
As a global company, WeWork would purchase these software licenses at a much more competitive rate and offer clients, not one tool, but an entire stack for much cheaper. Small startups can leverage all licenses directly through WeWork and don’t have to worry about maintenance or management – WeWork basically becomes their system admin. Teams at large organizations don’t need to request licenses through a painful bureaucratic process. If they have a WeWork license, they can easily add a package to their existing account.
Once logged into WeWork Cloud, tenants access a beautifully designed, intuitive virtual desktop with all their apps and files. They can access it from their laptop at home, a WeWork provided computer at their physical office or while vacationing at Copacabana (although we do not recommend the latter – enjoy the beach instead).
WeWork is also about community -- we get that. Countless tenants use the physical space to network and exchange ideas. WeWork Community will be a professional networking app for WeWorkers. Think LinkedIn + Match.com. Not only do clients have a professional profile (which can be conveniently synced with LinkedIn) based on which they can search and connect to fellow WeWorkers (just like on LinkedIn), but they will also be able to specify the people they’d like to connect with professionally. Let’s say, other tech startups trying to solve a similar problem for a different market with whom they can exchange ideas and lessons learned. Or maybe they’d like to connect with peers from their industry locally, globally, or in a specific country. WeWork Community’s algorithm would match them up and suggest an introduction (the Match.com component).
Additionally, the WeWork Community management team would facilitate cross-functional groups for like minded people where they can engage and virtually meet. Unlike LinkedIn groups, WeWork Community groups would be managed by the community team to ensure there aren’t any duplicates, only active groups remain open, and foster engagement through community engagement activities.
Once there is a thriving community, the team could even organize regular (virtual) events with well-known speakers from different industries (why not create a partnership with TED Talk?). Some could be webinar-style with no registration limits, others would be small and intimate roundtable discussions only for vetted attendees, such as executives at large companies or women tech leaders.
With WeWork Cloud and WeWork Community, WeWork could have morphed into a tech company that happens to offer beautiful office space. The added value doesn’t just evaporate when people can’t step into the office, be it because they moved or a pandemic hit. By extending the physical experience with a compelling digital one, WeWork could defy Digital Darwinism.
Now imagine you’re a competitor and witnessed WeWork adopt these digital transformation strategies. Digital technology such as cloud computing, artificial intelligence (AI), and other digital products and services are revolutionizing everything. Just because your industry has not yet been impacted, doesn’t mean it won’t. Even if WeWork doesn’t go this route, someone will and that will be the new business model you’ll be measured against. Either you match or top it or you’re out. Digital Darwinism is just as cruel as the natural one. If you don’t adapt, you’ll face extinction.
Again, this is merely a thought experiment to showcase the power of digital transformation strategies. Clearly, it isn’t something that will happen overnight – it’s a process. And because it takes time, there is no time to wait.
DevOps built-in flexibility allows development teams to work at a level that suits their resources and skills without being held back by departmental barriers.Read more
Artificial Intelligence (AI) – the capability of a machine or piece of software to display human-like intelligence – permeates our daily lives, often in ways we do not notice.Read more
Data-driven software touches our lives every day. Sometimes, it is in ways you see, such as when you check your Twitter feed, pay for your bus ticket or order your latte using your phone.Read more
EastBanc Technologies is recognized on CIOReview’s list: “Most Promising Microsoft Azure Solution Providers.”Read more
In this article, we’re going to dig a bit deeper into AI-implementation. We will take our airline use case a step further, and we will describe a specific example of how EastBanc Technologies solved a particularly challenging problem through AI and machine learning.Read more
If your organization provides a product or service -- which applies to just about any business on the planet -- you, too, can benefit from Artificial Intelligence (AI). While implementing AI may sound daunting, it doesn't have to be complex or expensive. This article covers the basics of AI and looks at some easy-to-explore use cases.Read more
Digital transformation is about opportunity and survival. Businesses that transform digitally gain a significant competitive advantage.Read more
Part 2: Best practices for modernizing your company’s IT infrastructure to ensure innovation success.Read more
Best practices for modernizing your company’s IT infrastructure to ensure innovation success.Read more
Learn how machine learning engineers and data scientists collaborate and roll out models faster and with ease using Azure Machine Learning.Read more
What is DevOps, what are DevOps practices, and how do you implement DevOps? Your FAQs answered.Read more
Refactor, rewrite, or leave as is? Learn when and how to bring your legacy systems up to speed with modern application development practices.Read more
Learn how technology can better meet your business needs with this foundational understanding of how software and system architectures work.Read more
Ready to embrace AI? Explore why cloud computing is the best infrastructure for your AI model, not on-premises.Read more
Software is a strategic differentiator that can catalyze digital transformation. Organizations are investing in technology, such as modern cloud services, to drive efficiencies and increase the customer experience. To make this a reality, it’s essential that business leaders have a basic understanding of business software and applications work and the opportunities they bring.Read more
How an intelligence-driven customer technical support approach can transform your support from a reactive operation to a streamlined, efficient, and proactive operation.Read more
Kubernetes is a popular container orchestration system, but how did it come to be and why, and what role does it play in digital transformation?Read more
Continuous integration and continuous delivery (CI/CD) is integral to a DevOps approach to software development. But what is CI/CD and why is it key?Read more
This article is the third in a series that aims to demystify data science , machine learning, deep learning, and artificial intelligence (AI) – while exploring how they are interconnected.Read more
2020 has seen profound change in the way we live and work with COVID-19 accelerating the pace of digital transformation. Yet, business leaders are often confused about how to implement one of the key enablers of...Read more
Artificial intelligence (AI), together with its brethren buzzwords data science, machine learning, and deep learning have been around for some time now and are no longer future concepts. Yet misconceptions persist about the true meaning of these terms.Read more
When SUSE, the world’s largest independent open source company, announced its acquisition of Rancher Labs in early July 2020, the industry took notice. Clearly, the Kubernetes management industry is very much alive.Read more
We live in a technology-driven world. Even non-technology companies are seeing their business models increasingly shaped by technology. Led by disrupters such as Amazon and Netflix, those enterprises who recognized opportunities early have found ways to extend the analog experience into a digital one. Even creating new revenue streams that they could never have predicted.Read more
Digital transformation is about delivering core competencies in a digital, automated, and user-centric manner. Driven by data and powered by tech (e.g. cloud, cloud native stack, AI, machine learning, and deep learning), it increases business agility, competitiveness, and enhances customer value.Read more
Let’s start by understanding where DataOps falls in the line-up of current IT methodologies. DataOps is the next level up from ETL (extract, transform, and load) and MDM (master data management systems) in terms of organizing data and processes. It can also be thought of as a methodology that combines DevOps and Agile within the field of data science.Read more
The hotel industry hasn’t changed much in the past decades. While they have introduced some level of digitization such as websites and apps, they haven’t fully embraced digital transformation. Indeed, if things are working fine, why change? Because the next unforeseen disruptor may be right around the corner.Read more
The term “DataOps” has picked up momentum and is quickly becoming the new buzz word. But we want it to be more than just a buzz word for your company, after reading this article you will have the knowledge to leverage the best of DataOps for your organization.Read more
Unstructured text is found in many, if not all business functions, and can become a source of valuable insight. Product reviews will guide your customers’ preferences, customer support chats can identifyRead more
In part one of this series, we defined data science and explored the role of a data scientist — including data preparation, modeling, visualization, and discovery. We also introduced the role of a machine learning engineer who closely collaborates with the data scientist.Read more
Big data continues to grow exponentially creating a critical need for solutions that can make sense and extract valuable information from it. For example, the Internet is full of a wide variety of constantly growing text sources— blog posts, forum posts, chats, message boards, item and services reviews, etc.Read more
Kubernetes, the de facto container orchestrator, is great and should be part of any DevOps toolkit. But, just as any other open source technology, it’s not a full-fletched ready-to-use platform.Read more
With the increasing popularity of machine learning (ML), it’s becoming more difficult for data scientists to find the appropriate tools for a specific task and decide on a robust approach. Should they stick to the basics and code everything from scratch or use one of the many pre-built tools that keep popping up on the market?Read more
Blue-green deployments and canary releases mitigate application deployment risk by enabling IT to revert back to the previous version should an issue occur during the release. Switching back and forth between versionsRead more
For those who were still debating whether they should hop on the digital transformation bandwagon, the COVID-19 crisis was a wakeup call, maybe even a slap in the face.Read more
The entire business world is talking about digital transformation. IT leaders, on the other hand, talk about DevOps, cloud native, Kuberentes and containers.Read more
If your organization leverages technology as a differentiator, a DevOps approach to application and service delivery is inevitable. The benefits are just too great.Read more
Digital transformation is one of today’s biggest buzzwords. Everyone is talking about it; everyone wants it. We all know the role technology is playing in enabling businesses to innovate at an unprecedented pace.Read more
The data on big data indicates that up to 60% of analytics projects fail or are abandoned, costing companies an average of $12.5 million. That’s not the result we seek from data lakes. Instead, companies are increasingly finding themselves mired in data swamps that are overfilled and too muddy to offer any useful visibility. Or are they?Read more
We collect data at a mind-boggling pace. In fact, as companies, we’re hoarding it. But what good is data if it can’t speak to us? Fortunately, data complexity can be broken down through design and visualization – the charts, graphs and plots that show trends, outliers and opportunities.Read more
As a company and as a team, our lives at EastBanc Technologies have always been about tackling the biggest problems for the biggest organizations.Read more
Artificial intelligence (AI) surrounds us. It unlocks our phones, creates our shopping list, navigates our commute, and cleans spam from our email. It’s making customers’ lives easier and more convenient.Read more
Nearly every week there’s something new in our industry. The pace of technology is unprecedented, the role of IT is booming, and innovation is part of our DNA.Read more
Technology is accelerating at such a rate that it permeates all industries. In fact, software is the only industry that cuts horizontally across all verticals.Read more
Innovation is a critical part of business. While prioritizing production in general makes sense, the best approaches make innovation a component of the whole production process.Read more
We recently sat down with a large pharmaceutical company to discuss their data analytics projects. What we heard wasn’t a surprise. Three of the four large analytics efforts they undertook last year had failed.Read more
AMS Group is a cohesive group of established companies that provide technology and security equipment to aerospace, defense, and security markets.Read more
A European market leader in online survey and feedback software acquired complementary companies in different Wester European countries, each of which had its own survey platform.Read more
Everyone loves their own data. Collecting it. Analyzing it. Drawing conclusions from it. But often, when you allow departments or business units within your organization to gather their own data, that data isn’t shared.Read more
Gartner predicts that through 2017 60% of big data projects will fail to go beyond piloting and experimentation and ultimately will be abandoned.Read more
Organizations generally understand the power behind analytics, but how do you make it work culturally and technically? We take a look at the barriers to data analytics success and suggest new approaches that buck the system, with dramatic results.Read more
And how to make your next data analytics project succeed?Read more
Container use is exploding right now. Developers love them and enterprises are embracing them at an unprecedented rate.Read more
If you’re making the move to containers, you’ll need a container management platform. And, if you’re reading this article, chances are you’re considering the benefits of Kubernetes.Read more
Wouldn’t it be nice to reach artificial intelligence (AI) nirvana? To have a system that provides real-time, context-aware decisions.Read more
Today’s IT environment is moving and evolving at an unprecedented pace. So, all of a sudden, your 5-year old software infrastructure can look more like it’s 50. To get your software current – and stay there – requires flexibility. Moving to containers does just that. There’s been lots of talk about containers over the past few years – so why aren’t you on the bandwagon yet?Read more
Under pressure to deliver applications faster and ensure 24/7 runtime, organizations are increasingly turning to DevOps methodologies to deliver applications quicker and in an automated fashion. But what tools should you have in your DevOps toolkit?Read more
Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP) are the public cloud market leaders, but how do you determine which of them best supports your enterprise's specific needs? For most enterprises, and for the foreseeable future, it’s going to be a multiple answer question.Read more
As the dominant movie rental service in the 90s and early 2000s, Blockbuster was the market leader, seemingly indefatigable. Until the great disruptor, Netflix, hit the scene.Read more
Big Data. Everyone’s paying for it, collecting it, and talking about it, but what are companies actually doing with it?Read more
The API management market is a hot one. As more organizations make investments in mobile, IoT, and big data, APIs are a core of their digital strategy.Read more
Big data is everywhere. Organizations are being advised to hoard it and do everything they can to derive actionable insights. This article will argue that this approach puts the cart before the horse.Read more
Let’s face it. Organizations struggle with their legacy applications. Even when they still solve some of the business’ problems, they reach a point where they can no longer keep up with market and industry demands.Read more
Let’s flash back to 2000. You’ve survived Y2K and you’re building systems for CRM, inventory, logistics, or data. They’re all state-of-the-art, and get the job done, even if they don’t talk to each other.Read more
It’s a mobile app world, and we just live in it. But for those working on the “next big thing,” there’s a conundrum – everyone knows we should be building apps in HTML, but not every device out there runs it as smoothly as it should.Read more
In technology, everyone likes to talk about “future-proofing.” But even for the most cutting-edge tech, time always catches up.Read more
The future is here. No, we don’t have flying cars or robot butlers – yet – but it’s definitely a digital world.Read more
We’re excited to announce Microsoft Azure support for the Kubernetes auto scaling module, an open source system for automating deployment, scaling, and management of containerized applications.Read more
You can’t mention enterprise technologies today without getting into a discussion about the cloud. “Are you in the cloud yet?” Why jumping headlong into cloud computing may not be the necessary move for your business.Read more
In the mad rush to move to the cloud, some organizations put the proverbial cart in front of the horse. They’re just looking for the best hosting, the preferred provider, or whatever the rest of the industry is using.Read more
2016 saw momentum in many areas – DevOps, cloud technologies, and big data- at the thrust of innovation. So, what tech predictions will define 2017?Read more
Every month, week, or day, it seems there’s buzz about yet another solution or service that will revolutionize your industry – or more simply, make your life easier.Read more
Apps. Sensors. They’re everywhere. Your phone, your car, your TV, even your refrigeratorRead more
In an increasingly commoditized market, learn how to cut through the noise and forge a cloud strategy that meets your needsRead more
Fleet management is a challenging business. This is particularly true of snow removal services where the dynamics on the ground can change fast and the pressures to perform put fleet supervisors to the test – in the toughest of conditions.Read more
Long before the first flakes fall from the sky many municipalities begin to prepare for the cold, icy, and snowy conditions that inevitably lie ahead.Read more
Fun fact: in 2014, cloud services were already a $45 billion business worldwide, and are expected to grow to $95 billion by 2017. Will you be part of that equation?Read more
Simple is good. Simple is clean. And whether I’m cooking or planning a trip, simple is always better, right? So why do so many companies make user experience (UX) so complex?Read more
Future-ready predictive analysis infrastructures hold the key to gaining insights from data today, and into tomorrow.Read more
Immersive and exciting, Virtual Reality is already part of our lives, whether it’s a plot device in a new sci-fi thriller or the best way to enjoy the latest video games or thrill rides.Read more
Now that smartphones are the most widely used tool for navigating important life activities (nearly two thirds of Americans own one), there’s pretty much an app for everything these days.Read more
If you’re tasked with choosing an API management system, Charles Dickens summed it up best: “It was the best of times, it was the worst of times.”Read more
DevOps: the panacea for all that’s wrong with enterprise IT. Where siloed teams who keep information close to their chest are replaced by agile, transparent relationships between developers and operations and fast and stable workflows that improve IT efficiency significantly and very visibly.Read more
As a technology company focused on complex project integrations that unify legacy systems as well as modular solutions that ensure lasting scalability, we work on a multitude of projects that involve custom software development; packaged, open source, and SaaS software integration; infrastructure setup; and production operations and maintenance.Read more
In an earlier blog we talked about why you need to integrate API management into your business strategyRead more
In a previous release of “What the Tech?” we discussed why you should integrate API management into your business strategy.Read more
Smart cars, smart homes, smart devices. The Internet of Things (IoT) is already transforming how we live. But very soon, the IoT will swiftly extend into the enterprise.Read more
Why you Need to Integrate API Management into your Business StrategyRead more
The promise of big data is, well, big! With terabytes of intelligence at their disposal, organizations can make faster, more accurate decisions, monitor trends, and even predict the future.Read more
Businesses accumulate data, create content, or possess unique business logic—each of which represents an untapped business opportunity. But how can organizations realize that opportunity?Read more
The Internet of Things (IoT) is much more than a consumer trend, it’s rapidly changing the way enterprises are using data to improve business decision-making.Read more
Content consumption is changing rapidly. With multiple channels and media formats, reaching target audiences is getting harder than ever.Read more
The way in which we consume content is changing rapidly and a few trends have emerged recently that we think will have a meaningful impact on media organizations this year and in years to come.Read more
Building a mobile app isn’t as simple as it used to be. With multiple devices to cater to, development teams must ask themselves a few questions:Read more