#ScaleStrategy is produced by DX Journal and OneEleven. This editorial series delivers insights, advice, and practical recommendations to innovative and disruptive entrepreneurs and intrapreneurs. Read the second part of the interview with Dean Hopkins here.
“We’re being ambitious. We want to show scaling companies that we can scale, too,” said OneEleven’s Chief Growth Officer, Dean Hopkins, when the Toronto-based scaleup hub announced its plans to expand to Ottawa, Vancouver, London and Berlin in late 2018 and into 2019.
It’s an opportune time to expand globally as a scaleup hub.
According to CB Insights, total annual venture capital global funding “increased nearly 50% in 2017, as over $164B was invested across 11,042 deals. Deal activity was up by 11%, with both deal and dollar figures representing annual highs.”
As for 2018 so far, KPMG’s Venture Pulse Report says “for the fourth consecutive quarter, VC invested has exceeded $45 billion, and in the most recent quarter, just barely fallen shy of $50 billion once more.”
Hopkins is excited to walk the scaleup talk once again.
A tech scene veteran, Hopkins was the CEO & Co-founder of Cyberplex for more than a decade where he grew the organization from a startup to a public company with nearly $1 billion in market capitalization. During his career at Cyberplex, he also successfully managed the company through a major downsizing as the tech bubble collapsed and transitioned it to new leadership where the company enjoyed another round of growth.
Prior to joining OneEleven as Chief Growth Officer, Hopkins ran a boutique management consulting firm he founded in 2006 to drive transformation initiatives on a global basis for clients such as Thomson Reuters and the Ontario Teachers’ Pension Plan Board.
We caught up with Hopkins to talk about scaling lessons, OneEleven’s growth plans and developing the world’s leading source of scaleup knowledge.
DX Journal: You have extensive experience scaling from both an entrepreneurial and intrapreneurial perspective. What are some of the lessons you’ve learned?
Dean Hopkins: First off, it’s all about people. Attracting amazing people that became my partners in growth was the reason we were able to scale. I couldn’t have done it alone. ‘Hire great people and get out of their way’ became my mantra — even to this day.
The second ingredient to scale was culture. We had built a culture that was accustomed to scaling and had an appetite for growth. Our culture was about resilience, and scaling, and picking yourself up and dusting yourself off. We made it okay to make mistakes, then march on.
DX Journal: What have you learned about scaling at OneEleven?
Hopkins: Early on after I joined OneEleven, I sat in on a community lunch with about 300 people from all the member companies. At this lunch, new members are brought up in front of the crowd to say a little about their company. Then 300 people welcome them with cheers — a lot of love goes their way. After that, others come up to talk about their big wins, like raising money, landing a big customer or completing a big launch. And again, 300 people applaud and celebrate them. Well, I remember sitting there thinking, ‘where was this when I was building Cyberplex?’ I was in a hovel by myself toiling away with no community other than people that I would lean on as advisors. I never had the kind of kudos, support, warmth, love, resources that these companies have at OneEleven, and that’s when things clicked for me. This is what community is. A lot of people talk about community, but to actually see it viscerally done, made me realize I needed to recreate it in other geographies.
What we’re trying to do is get a group of companies — all individually pursuing their dreams, but collectively working together — to make sure that each other are successful.
DX Journal: You’re focused taking this OneEleven scaleup initiative global. How do you assess where you need to be?
Hopkins: A big aha moment for me around OneEleven was getting the Startup Genome report. I looked at our success in Toronto and yet our city was number 14 or 15 on their list. I said, ‘wait a minute, OneEleven is working incredibly well in the 15th best market?! What if we took OneEleven and built it out to some of the top 10 markets? That’s what led to the business plan we’re currently executing.
From there, I overlaid our partner Oxford Properties into the mix. As a large global real estate firm, this gave me the first 4 markets to go after — London, Berlin, Boston, Vancouver. We’re studying each market, mapping the ecosystem, understanding who the players are, comparing it to Toronto, figuring out what the differences and similarities are and then plotting our entry. Over the next year, we’ll be in each of those markets.
The approach to entering each of these markets will be subtly different depending on character of the market. We’ve invested a lot in meeting the community, understanding who does what to whom and how we can add value. By the time we launch in those markets, we’ll already have a reputation built up because we’ll have spent some money to support the local ecosystem. We’ll have brought some value to some of the companies there by helping them maybe come to Canada or come to one of our other markets. I view it as kind of putting some karma in the bank before we even launch in each.
DX Journal: When OneEleven enters a geography, what’s the benefit to companies and communities located there?
Hopkins: From our perspective, there are 3 key benefits to having OneEleven in your city.
The first is that we’re building the global knowledge base of scale. Each community we add is bringing a new rich set of perspectives on how to scaleup businesses. We then make that available to everybody in the peer community.
The second benefit is for the companies in each geography is an easier path into other markets through our growing global ecosystem. If a company in Toronto wants to go to London, they can access continental Europe because we have assets and relationships in Berlin.
Lastly, we are building what we call Scale-as-a-Service. This is a set of capabilities — much like you’d find on Amazon but only dedicated to scaling — that help people with the common challenges of scaling. This only gets richer and more pressure-tested the more markets we serve. We’ll have the best set of Scale-as-a-Service capabilities of anybody out there because we’re activating across companies in multiple markets.
DX Journal: Speaking of a scaleup knowledge base, as a company grows are there one or two things that really become important?
Hopkins: Entrepreneurs 100% need to think about getting away from the technical, engineering-focused orientation of their early stages. They should focus their time disproportionately on building their channel to market, building their go-to market, building their customer base, building their way in which revenue is going to come to them. Build protected paths to market that are defendable, because that’s really where the source of competitive advantage is. An entrepreneur could have the best product in the world, but if he or she can’t get it to market the company is dead. The companies that figure out how to build proprietary go-to market or protected go-to market are the ones that end up winning.
The second thing is not to underestimate the complexity of the people equation. Most founders who have reached the scaleup phase realize they need to think about organizational design, career paths for employees and what the organization will look like in 3 years. If they don’t, they will have a churn problem, which is very expensive and disruptive for the business.
The third thing is preparing for the next big round of funding. Generally speaking, people underestimate the amount of relationship building and preparation work needed. It probably takes a year or so to get ready properly. We’re trying to help companies diagnose where they are, how much runway they need and prepare them adequately for the big round, which is another league up from what they’re normally used to.
DX Journal: What books have you read that helped you get through your scaleup journey?
I’m also a big believer in a book called The Alchemist by Paulo Coelho. It’s all about finding personal motivation and that gets you through some very challenging times when you’re leading a company. There’s a book called The Speed of Trust by Steven Covey, which is all about how to engineer trust in your organization, which is essential at this level. Lastly, Crossing the Chasm by Geoffrey A. Moore. A seminal work on how you market and build a go-to market strategy.
DX Journal covers the impact of digital transformation (DX) initiatives worldwide across multiple industries.
DX survey reveals high levels of enterprise-consumer disconnect
A new survey looks at the global investment and effectiveness of businesses’ digital transformation efforts. The survey shows a disconnect between enterprise investments and consumer experiences.
The survey is titled “The Kony Digital Experience Index (KDXi) Survey”, and the main takeaway is that while businesses have invested nearly $5 trillion on digital transformation initiatives, only 19 percent of customers have reported any significant improvement in the experiences offered to them.
The Kony Inc., survey included 1,600 responses from business leaders and customers across the U.S., Europe and Asia. The responses were used to gauge the target digital project implementation efficiencies in banking, retail, utilities and healthcare. The research showed a disconnect on both sides and a potential misalignment around investment priorities, and highlighted the impact this could potentially have for businesses.
Among other things, the study found that consumers are underestimating the number of businesses that are investing heavily in every customer experience outcome by at least 50 percent. This means that while business are spending money on digital transformation projects, consumers are not necessarily noticing a difference.
The survey also reported that 62 percent of consumers say that they spend more with companies that offer effortless digital experiences, while 56 percent of consumers indicate that they will switch if a retailer does not deliver the digital experience they want. This signals the necessity for businesses to continue to invest in the digital experience for the customer. However, in doing so they need to start making an impact.
As the report states: “It is critical for businesses to have a greater focus on understanding and aligning with customer needs and priorities to ensure that they are driving the agenda for the digital technology they create and fund.”
In terms of what businesses should be doing, the basis of a strategy includes:
- Embracing innovative thinking, ambition and a commitment to improvement
- Prioritizing investment in digital outcomes, not digital initiatives
- Getting their foundations right before evolving
- Building for now, but investing in a roadmap that leads to the future
- Saying no to silos and yes to integrated digital strategy
- Setting a customer-centered digital transformation agenda
This means companies should work to provide web experiences that make it easier for users to navigate, and for websites to be more engaging and intuitive to use. There also needs to be comprehensive online and mobile facilities so that users can do everything online or via their mobile device. Furthermore, to truly step forwards, businesses need to begin offering digital experiences such as AI, chatbots and augmented reality.
Summing this up, Thomas E. Hogan, chairman and CEO, Kony, Inc. states: “Improvements in costs and efficiencies are always welcomed and clearly important to project funding, but the real returns and real impact of digital starts and stops with its impact on the customer experience.”
‘Ethical AI’ matters — the problem lies in defining it
News that Microsoft will invest around $1 billion to examine ethical artificial intelligence signals that the tech sector is thinking deeper about the ethics underlying transformative technologies. But what is ethical AI?
Microsoft is to invest around $1 billion into the OpenAI project, a group that has Elon Musk and Amazon as members. The partners are seeking to establish “shared principles on ethics and trust”. The project is considering two streams: cognitive science, which is linked to psychology and considers the similarities between artificial intelligence and human intelligence; and machine intelligence, which is less concerned with how similar machines are to humans, and instead is focused on how systems behave in an intelligent way.
With the growth of smart technology comes an increased reliance for humanity to place trust in algorithms, that continue to evolve. Increasingly, people are asking whether an ethical framework is needed in response. It would appear so, with some machines now carrying out specific tasks more effectively than humans can. This leads to the questions ‘what is ethical AI?’ and ‘who should develop ethics and regulate them?’
AI’s ethical dilemmas
We’re already seeing examples of what can go wrong when artificial intelligence is granted too much autonomy.Amazon had to pull an artificial intelligence operated recruiting tool after it was found to be biased against female applicants. A different form of bias was associated with a recidivism machine learning-run assessment tool that was biased against black defendants. The U.S. Department of Housing and Urban Development has recently sued Facebook due to its advertising algorithms, which allow advertisers to discriminate based on characteristics such as gender and race. For similar reasons Google opted not to renew its artificial intelligence contract with the U.S. Department of Defense for undisclosed ethical concerns.
These examples outline why, at the early stages, AI produces ethical dilemmas and perhaps why some level of control is required.
Designing AI ethics
Ethics is an important design consideration as artificial intelligence technology progresses. This philosophical inquiry extends from how humanity wants AI to make decisions and with which types of decisions. This is especially important where the is potential danger (as with many autonomous car driving scenarios); and extends to a more dystopian future where AI could replace human decision-making at work and at home. In-between, one notable experiment detailed what might happen if an artificially intelligent chatbot became virulently racist, a study intended to highlights the challenges humanity might face if machines ever become super intelligent.
While there is agreement that AI needs an ethical framework, what should this framework contain? There appears to be little consensus over the definition of ethical and trustworthy AI. A starting point is in the European Union document titled “Ethics Guidelines for Trustworthy AI“. With this brief, the key criteria are for AI to be democratic, to contribute to an equitable society, to support human agency, to foster fundamental rights, and to ensure that human oversight remains in place.
These are important concerns for a liberal democracy. But how do these principles stack up with threats to the autonomy of humans, as with AI that interacts and seeks to influencing behavior, as with the Facebook Cambridge Analytica issue? Even with Google search results, the output, which is controlled by an algorithm, can have a significant influence on the behavior of users.
Furthermore, should AI be used as a weapon? If robots become sophisticated enough (and it can be proven they can ‘reason’), should they be given rights akin to a human? The questions of ethics runs very deep.
It is grappling with some of these issues that led to the formation of OpenAI. According to Smart2Zero, OpenAI’s primary goal is to ensure that artificial intelligence can be deployed in a way that is both safe and secure, in order that the economic benefits can be widely distributed through society. Notably this does not capture all of the European Union goals, such as how democratic principles will be protected or how human autonomy will be kept central to any AI application.
As a consequence of Microsoft joining of the consortium, OpenAI will seek to develop advanced AI models built upon Microsoft’s Azure cloud computing platform. There are few specific details of how the project will progress.
Commenting on Microsoft’s big investment and commitment to the project, Microsoft chief executive Satya Nadella does not shed much light: “AI is one of the most transformative technologies of our time and has the potential to help solve many of our world’s most pressing challenges…our ambition is to democratize AI.”
Do we need regulation?
It is probable that the OpenAI project will place business first, and it will no doubt seek to reduce areas of bias. This in itself is key to the goals of the partners involved. For wider ethical issues it will be down to governments and academia to develop strong frameworks, and for these to gain public acceptance, and then for an appropriate regulatory structure to be put in place.
Digital transformation is causing C-suite tensions
Digital transformation is not only about technology, it’s also about changes of practices which need to diffuse through an organization’s culture. This needs to be begin at the top. A new report finds C-suite discord is a block to effective DX processes.
Rapidly undergoing effective digitally transformation puts a strain across C-suite relationships, according to a new survey of major enterprises. The report has been produced by business management software provider Apptio, and commissioned by the Financial Times. Titled “Disruption in the C-suite“, the report is draws on the findings of a survey conducted with 555 senior executives, (50 percent occupying CxO roles). The executives were based in major economic nations: Australia, Denmark, France, Germany, Italy, Japan, the Netherlands, Norway, Spain, Sweden, the UK and the U.S.
The report finds that while digital transformation leads to greater collaboration across different business functions, it can also create blurred responsibilities across the C-suite. This crossover carries the risk of key issues being missed; it also serves as a source of tension between top executives, as traditional functions merge and territorial disputes are triggered. As a sign of such differences, 71 percent of finance executives found the IT unit within the C-suite should be seeking greater influencing skills to better deliver the change their business requires.
Team deficiencies found in the survey included not having key performance indicators in place with to measure digital transformation progress. Also, the CFO was found to be the least deeply aligned member of the C-suite team, especially not being aligned with the CIO.
To overcome these divisions, the report recommends that organizations invest time in ‘bridging the trust gap’ between functions and seek to ease tensions, especially between the offices of the CIO and the CFO. An important factor is with establishing which function has accountability. Another measure that can be taken is with ensuing that data is more transparent and where key metrics are issued in ‘real-time’.
The report also charts how digital transformation is being fully embraced, as leaders at global brands are embracing processes and technologies like artificial intelligence, workplace reskilling, cloud computing, agile working and de-centralized decision-making.
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