The rise of robo-advisers, 3D printed pharmaceuticals and the coherence economy— This Week’s 10 Reads from a Chief Innovation Officer


I read over 100 articles this week so you don’t have to — Here are the top 10 you should read over the weekend and why they matter for the public sector. Let’s dive in to this week’s reads —

The Articles —

Out of over 100 articles, here are the top 10 that stood out this week:

🤖 Robo-Advisers Are Coming to Consulting and Corporate Strategy

🚘 Lyft says nearly 250K of its passengers ditched a personal car in 2017

✅ How Fast Is AI Progressing? Stanford’s New Report Card for Artificial Intelligence

🤯 Some of the World’s Largest Employers No Longer Sell Things, They Rent Workers

💊 You could soon be manufacturing your own drugs — thanks to 3D printing

💼 AI Plus Human Intelligence Is The Future Of Work

🚨 Drone comes to the rescue of two swimmers in Australia

📈 Welcome to the Coherence Economy

💡 Will Edge Computing Change How Government Operates?

📊 Deloitte Insights: Tech Trends — [PDF]

The Bottom Line —

Just in case you don’t have time to read each article, here are the key takeaways and why each one matters for government:

🤖 Robo-Advisers Are Coming to Consulting and Corporate Strategy

🏛 Why it Matters for Government: We live in a software-defined world, one where software has replaced and augmented numerous layers of organizations across every industry — and strategy and consulting is the next stop. The abundance of big data and rise of artificial intelligence has enabled us to witness the rise of software-defined roles, such as the first algorithm appointed to a board position, and government could likely be the next destination for these roles to find a home. In the not-to-distant future, your internal auditors will be software, your CFO will consult software advisors, and your governance process will involve a software-based role at some point in the process.

🚘 Lyft says nearly 250K of its passengers ditched a personal car in 2017

🏛 Why it Matters for Government: The rise of ridesharing and other sharing economy business models have disrupted the traditional models of ownership — moving us from a model of ownership to one focused on paying for accessing assets. Lyft’s report of 250,000 riders who ditched their personal vehicles in 2017 is a clear indicator that this trend is exponentially increasing. For government, this means that we need to rapidly explore new regulatory and tax models to adjust for a shift in how we access assets going forward.

✅ How Fast Is AI Progressing? Stanford’s New Report Card for Artificial Intelligence

🏛 Why it Matters for Government: It seems every day the web is flooded with new articles about artificial intelligence impacting XYZ, each with its own positive or negative spin on the net result. In the process of sifting through all of these perspectives about AI, we can lose sight of where the development of AI actually is. Thanks to Stanford University, there’s now a new report card that benchmarks AI’s progress — to provide a reality check of multiple lenses of its development. For government agencies, this is a great way to keep up with the development of AI as you explore use-cases in your own organizations. I also encourage you to check out the GSA’s Emerging Citizen Technology Asset as another resource to track use-cases and current uses of these new emerging technologies.

🤯 Some of the World’s Largest Employers No Longer Sell Things, They Rent Workers

🏛 Why it Matters for Government: We’ve seen a massive shift in the model of how work is completed in organizations — one shifting from full-time workers to the more agile, freelancers — also validated in one of the reads from last week. This article explores that the largest employers today are no longer traditional brick and mortar stores, but now human capital firms that pool and sell specialized labor. For government agencies, it’s important to remember that it will increasingly become more difficult to hire (full-time) all of the specialized talents that you need — so tapping into these new models of labor procurement will provide a helpful opportunity to bridge talent gaps. Agencies that leverage these new models will undeniably face challenges with existing labor regulations, unions, and benefit structures — but this is expected and part of every major disruptive change to organizational models.

💊 You could soon be manufacturing your own drugs — thanks to 3D printing

🏛 Why it Matters for Government: This was an interesting read about the evolution of 3D printing into a new area that government touches — pharmaceuticals. We’ve seen 3D printed homes, but as with all exponential technologies, it’s rapidly evolving into new use-cases that challenge existing regulatory structures and delivery mechanisms. For this specific case, the great news is that the government (FDA) has proactively begun to explore these implications. For government agencies interested in proactively doing the same, you can read my thoughts in a new planning framework called Exponential Planning.

Read the full article on Medium

Artificial Intelligence meets 911 call centers, flood sensors and over 6 million smart speakers — This Week’s 10 Reads from a Chief Innovation Officer

I read over 100 articles this week so you don’t have to — Here are the top 10 you should read over the weekend and why they matter for the public sector. Let’s dive in to this week’s —



The Articles —

Out of over 100 articles, here are the top 10 that stood out this week:

🌊 Iowa Flood Sensors Wade into Artificial Intelligence

📱 Here are the most common uses of AI on your smartphone today

🤯 Almost all the US jobs created since 2005 are temporary

🚚 Robomart is the latest startup to try and unseat the local convenience store

👉 Google sold over 6 million smart speakers with AI in 2017

📈 How data mining charts the course of history hidden in government archives

🚨 Having A Heart Attack? This AI Helps Emergency Dispatchers Find Out

⚠️ Cybersecurity Today Is Treated Like Accounting Before Enron

🏁 A Culture of Relentless Improvement

🔮 8 Trends of the Internet of Things in 2018 — OpenMind

The Bottom Line —

Just in case you don’t have time to read each article, here are the key takeaways and why each one matters for government:

🌊 Iowa Flood Sensors Wade into Artificial Intelligence

🏛 Why it Matters for Government: Government agencies have more data then they know what to do with, and more specifically, how to extract value out of. This big data problem is only getting worse as more Internet-enabled devices are deployed in cities across the country, but the approach from the Iowa Flood Center is a great glimpse at what’s next for open data. By applying artificial intelligence and focusing on the user experience, they have created a way that enables data to be truly accessible by anyone regardless of their expertise. For government employees, elected officials and citizens in the future, this is what the future looks like — thousands of databases, one experience.

📱 Here are the most common uses of AI on your smartphone today

🏛 Why it Matters for Government: This was a fascinating visualization that showed artificial intelligence isn’t years away, it’s something we use components of every day on our phones — but may not always be aware of. The lesson for government here is twofold:

#1 AI, machine learning, and deep learning have the potential to do incredibly complex tasks but also augment simple yet tedious work (i.e., photo classification).

#2 As we design new services for constituents and employees to access government, we must ensure that we build awareness of these new access points.

🤯 Almost all the US jobs created since 2005 are temporary

🏛 Why it Matters for Government: Much of the discussion about the future of work has focused on the role and skills needed for jobs in the future. We’ve debated whether robots will replace certain job titles that exist today and how to reskill existing employees to new technologies, but there has been little discussion about the way work itself is changing. This research helps indicate a shift in the very model of work, one that is moving to a more task (or gig) based setting. There will be vast implications to the workforce with these changes, but they’re not all bad if you know how to harness it properly.

🚚 Robomart is the latest startup to try and unseat the local convenience store

🏛 Why it Matters for Government: There’s no argument that on-demand ridesharing companies like Uber are disrupting existing mass transit systems (And even our reliance on ambulances). Many of these ridesharing companies have expanded their capabilities by launching delivery overlays for mom-and-pop shops and even large companies like Amazon. But if I order a product to be delivered in 1 hour, it still requires an inefficient path for delivery that can congest a transit network (driver queued, driver picks up product, driver brings product, driver returns or is re-queued). Not something that will work well at scale across multiple vendors. The startup Robomart has an interesting concept where the store comes to you and it eliminates two legs of the trip because it contains the warehouse of the product you want. This model can also be applied to food preparation, as we’ve seen with Pizza Hut’s latest self-driving delivering car announcement, which points to a future where employees could make and cook pizzas while being whizzed around the city in an autonomous store. For government, autonomous businesses may become the next regulatory challenge that needs to be prepared for.

Read the full article on Medium

The rise of AI operators, dynamic parking meters and Amazon Echo as a crime fighter— This Week’s 10 Reads from a Chief Innovation Officer



I read over 100 articles this week so you don’t have to — Here are the top 10 you should read over the weekend and why they matter for the public sector. Let’s dive in to this week’s —

The Articles —

Out of over 100 articles, here are the top 10 that stood out this week:

👩‍💻 AI operators will play a critical role as bots redefine the workplace

🇪🇪 Estonia, the Digital Republic

📊 New Metrics for the Algorithmic Enterprise —

⚖️ Innovating Regulation

👿 The nasty surprises hackers have in store for us in 2018

🚔 UK police turn to Amazon Echo in the fight against crime |

💡 We Need Large Innovations — Vinod Khosla

🙀 Saudi Aramco execs see Uber as a bigger threat to oil demand than Tesla

💸 San Francisco Rolls Out Dynamic Parking Rate Model

🗣 Google’s New Text-to-Speech AI Is so Good We Bet You Can’t Tell It From a Real Human

The Bottom Line —

Just in case you don’t have time to read each article, here are the key takeaways and why each one matters for government:

👩‍💻 AI operators will play a critical role as bots redefine the workplace

🏛 Why it Matters for Government: As artificial intelligence enters the enterprise, it will not lead the the immediate replacement of jobs; rather, it will augment existing job functions and create a new opportunity for impacted employees to help train the software and hardware (thus giving rise to AI operators). AI operators won’t need to be skilled in machine learning, they’ll just need to operate as an intermediary that helps train and coach new enterprise software and hardware on the job at hand. I see this especially impacting cybersecurity as most cybersecurity functions will be replaced by AI, yet still coached by a human. For example, in the future your Chief Information Security Officer (CISO) could be replaced by AI and shift the existing human talent to the job of a risk mitigation officer — someone who helps orchestrate the AIs to mitigate risks. Don’t believe me, the City of Long Beach, California is already working on this.

🇪🇪 Estonia, the Digital Republic

🏛 Why it Matters for Government: Although Estonia has a small population of roughly 1.3 million people, it has become a shining example of a national government embracing next-generation technology to increase efficiency (and economic development). From a blockchain-based e-residency program to the first national election held on the Internet — Estonia provides a glimpse of what’s possible when a government agencies anticipates change instead of being disrupted by it.

📊 New Metrics for the Algorithmic Enterprise —

🏛 Why it Matters for Government: As functions of government service delivery become augmented or replaced by algorithms, it will be important for agencies to incorporate new metrics to understand their internal and external impact. Algorithmic delivery systems will enable government to be more effective and responsive, but it will require us to rethink the landscape of how we measure performance to ensure the new technologies we leverage are creating the desired impact we envisioned. 

⚖️ Innovating Regulation

🏛 Why it Matters for Government: The exponential era we live in has given rise to many new business models, like Uber and Lyft, that run up against the existing regulatory structure put in place by government. These disruptive business models are emerging more frequently, requiring government agencies to rapidly respond or challenge a company’s ability to operate. It was time for a new way of thinking on government regulations, so I was encourage to see the Aspen Institute’s Center for Urban Innovation put out new strategies to help government rethink regulations across food, permitting, transportation and procurement. I encourage you to check it out and my hope is that government agencies can begin to share and build on these strategies collectively. 

👿 The nasty surprises hackers have in store for us in 2018

🏛 Why it Matters for Government: This article is a good reminder that the cybersecurity landscape is a constantly moving target and evolving threat landscape — and 2018 is going to have some nasty surprises for government. For example, in 2017 ransomware impacted agencies across the country, but one of the predictions in this article is that ransomware is going to the cloud — which creates new challenges in response and most agencies disaster recovery plans. I encourage all government agencies to think through the 5 other cybersecurity predictions and how they might respond as things start to heat up in 2018.

🚔 UK police turn to Amazon Echo in the fight against crime |

🏛 Why it Matters for Government: This article provided an interesting look at how one UK city is looking at using an Amazon Echo has a crime fighting tool — specifically around crime and missing person bulletins but also looking to new ways to make data and emergency services accessible through voice. Proactive information delivery (versus having to ask Alexa for information) is something that would make this even more useful, and Amazon is already enabling it for certain skills. This is just the start, I can also imagine a day where gunshot detection, like ShotSpotter, may just be a passively crowdsource skill that citizens opt-into on their device. Going forward, government agencies should continue to explore ways to leverage these smart speakers, while balancing privacy concerns, as a potential to increase their accessibility and effectiveness for constituents. 

💡 We Need Large Innovations — Vinod Khosla

🏛 Why it Matters for Government: This was a fitting read for going into a new year — and my takeaway for government after reading this article is that it’s time to start looking a ways to fundamentally reinvent certain models of government service delivery. Government is getting good at incremental innovation and performance improvements, but what about creating new models altogether? My hope for agencies is that in addition to their existing innovation work, they will look to having 5–10% of their innovation portfolio focused on new model experimentation. A good starting point for interested agencies is Zero to One, by Peter Thiel

Read the full article on Medium

It’s Time To Flip The School District - Why Empowerment — Not Technology — Is The Key To Transforming Education.


As a technology optimist, and for years I have encouraged government and education institutions to embrace technology to unlock new efficiencies and prepare for an uncertain future. In education, there is no doubt that technology along with new instructional models, like project-based-learning (PBL), have made significant impacts in the classroom — but there’s a dangerous organizational side-effect no one wants to talk about — and it’s creating havoc in districts across the country.

The Role of The Teacher

The digital exhaust from all of the technology we put in schools is what is commonly referred to as big data. Big data has had a significant impact on the education system, it’s enabled us to extract insights in the learning process and even gave rise to personalized learning systems that optimized the learning process based on a user’s own data. As far as where the data comes from, there is no shortage of test, assessments, benchmarks, etc. used to collect this data on a regular basis — but the challenge is these data gathering systems are sometimes used as the primary system of education performance measurement. So if we assess the effectiveness of our education system and educators from quantifiable data alone, where does the teacher and their insights fit into this picture?

Today’s Data Fallacy

Today, the quantitive data collected by school districts can provide concrete, factual representations of performance, but it often lacks context or narrative for interrupting results. This requires that context and interpretation be applied at some point after the data is collected. Does it happen in the trenches of where the data is created (i.e., the classroom) or at the top of the organizational stack by the experts (i.e. superintendent or cabinet)? More often then not, today this analysis and interpretation occur at the top (or is programmed using preferences from the top) and the changes from it are pushed down through the organization. This may seem logical, but it’s not the right setup to enable innovation to flourish. Innovation is a process that leverages the edge of an organization to become smarter and anticipate needs before they arise. The edge of a school district is where teachers interface with the school district’s product, students. The fallacy of big data today is that if a school district basis all performance on student achievement indicators and doesn’t engage its edge, then how can it possibly innovate? Imagine if a company constantly changes the features of a product due to declining sells without ever asking their sales team why it’s not selling. Maybe it’s the wrong product to begin with.

It’s All About Culture

So the real question is what makes a school district high-performing and innovative? Is it just engaging teachers more often? Leveraging new technology? From what I’ve seen, the highest performing schools have established a culture of innovation that is built through employee empowerment. School districts that encourage employees to test new hunches — to explore new models of learning, don’t just see better outcomes with their students, they also see a more motivated workforce. Now, this is where school leadership plays the most critical role in the process because they are directly responsible for laying the foundation of their district’s culture. Setting the right foundation requires a new perspective on leadership.

Establishing a Culture of Innovation Through New Leadership

School leaders in this exponential era of change need to set a foundation of innovation by being a leader with these ingredients:

  1. Who has vision: You must have a vision that can be shared and embraced across multiple domains in your district. Does your vision apply to teachers or just the school board? For inspiration, read Built to Last.
  2. Who empowers: You must empower all of your employees, especially those at the edge to test their hunches, share insights and collectively work to accomplish the district’s vision. You must also embrace failures as part of the process, because if you don’t — your staff will not take risks. For inspiration on empowerment, read Mindset (thanks to my superintendent sister for the recommendation). For inspiration on rewarding failure, read how Google recognizes failure.
  3. Who is agile and adaptive: You must operate in a continuous state of improvement and you must adapt frequently to change. For inspiration, read Lean Startup.

So now the question for those in leadership positions today: are you a leader who interprets data for your employees or are you a leader who empowers your employees and leverages their insights?

Originally posted on Medium

Exponential predictions for 2018, laser-powered Internet and hacker-infested toys — This Week’s 10 Reads from a Chief Innovation Officer

I read over 100 articles this week so you don’t have to — Here are the top 10 you should read over the weekend and why they matter for the public sector. Let’s dive in to this week’s —


The Articles —

Out of over 100 articles, here are the top 10 that stood out this week:

🔮 18 Exponential Changes We Can Expect in the Year Ahead

🔎 Digital Disruptors of the World Unite: Interpreting the Fourth Industrial Revolution

🌡 De Blasio Administration Announces Tech Competition to Accelerate Local Climate Action

🚨 Using drones to build the ambulance fleet of the future

👾 McKinsey Quarterly 2017 Number 4 — Artificial intelligence takes shape —

🗄 What can machine learning do? Workforce implications of machine learning

🚙 Riders in Waymo’s self-driving cars will now be insured

💡 Exploring a new approach to connectivity

🤖 The robots are coming and Sweden is fine

🚂 A cute toy just brought a hacker into your home.

The Bottom Line —

Just in case you don’t have time to read each article, here are the key takeaways and why each one matters for government:

🔮 18 Exponential Changes We Can Expect in the Year Ahead

🏛 Why it Matters for Government: As you’ve read in many of my articles, preparing for an uncertain future across multiple domains is an important function that government agencies need to embrace and embed into the way they operate. This article provides a great look at 18 areas that will have exponential changes as we head into 2018.

🔎 Digital Disruptors of the World Unite: Interpreting the Fourth Industrial Revolution

🏛 Why it Matters for Government: There are individual, organizational and societal changes unfolding before us eacb day and as many economists have described, the beginning of a fourth industrial revolution. Along with other technological revolutions, there will be massive changes to labor and productivity — but it’s important for government to understand that it’s going to have more of an impact on it. From the regulatory landscape to physical infrastructure building, this fourth industrial revolution will require government to become more agile in order to keep up.

🌡 De Blasio Administration Announces Tech Competition to Accelerate Local Climate Action

🏛 Why it Matters for Government: Mayor De Blasio and his technology team are a shining example that cities are capable of doing more than just existing. Under NYCx, the City of New York is tackling hyperlocal problems such as connectivity, as well as moonshot challenges to push the envelope for government innovation. This reinforces a point I’ve long held, that sustainable innovation starts and is incubated at the local level, then it roles up to higher levels of government. Keep up the great work NYC!

🚨 Using drones to build the ambulance fleet of the future

🏛 Why it Matters for Government: Last week you read about ambulance ubers, now we’ve moved to an ambulance that can fly. We’ve seen drone package concepts, but Zipline is using drones in Africa to deliver vital medical supplies — and it’s not just a concept, it’s live. This example provides validation of the lifesaving impact that drones can have and we will begin to see more of these use-cases role out to cities across the United States. For government, drones will provide opportunities to augment emergency workers (a video for what that looks like is below), but it will also lead to a host of new regulatory and orchestration challenges that will need to be addressed.


👾 McKinsey Quarterly 2017 Number 4 — Artificial intelligence takes shape —

🏛 Why it Matters for Government: McKinsey puts out great quarterly publications that cover a wide variety of topics — and this month’s really hit home with a focus on artificial intelligence. As your agency looks to integrate and implement elements of AI into your operations in 2018, it’s good to have an industry perspective of where things are today and where they are going.

🗄 What can machine learning do? Workforce implications of machine learning

🏛 Why it Matters for Government: Machine learning and artificial intelligence are the most common buzzwords you see at the top of every tech article on the web — but most lack the meat to explain their wild predictions on how AI will do XYZ. That’s why I love this research, posted in an academic journal, that provides an in-depth look at machine learning and the science behind how it will impact our workforce.

🚙 Riders in Waymo’s self-driving cars will now be insured

🏛 Why it Matters for Government: There are numerous regulatory challenges that are uncertain involving self-driving technology, and one of the biggest challenges today is around liability — who’s at fault and who pays when no one is driving. This is why Waymo’s decision to provide passenger insurance in their self-driving vehicles is a great starting point for working out the liability issue. Government agencies will need to continue to work together with the self-driving vehicle industry on a host of other technical and regulatory issues, but this is a promising start.

Read the full article on Medium

The rise of government chatbots, Uber ambulances and cryptojacking— This Week’s 10 Reads from a Chief Innovation Officer

I read over 100 articles this week so you don’t have to — Here are the top 10 you should read over the weekend and why they matter for the public sector. Let’s dive into this week’s —


The Articles —

Out of over 100 articles, here are the top 10 that stood out this week:

🤖 Meet The City of El Paso’s Chatbot, Ask Laura.

👀 The Hidden Human Workforce Powering Machine Intelligence

🖋 How soon will computers replace The Economist’s writers?

🚑 Uber’s Impact on Ambulance Usage

🌎 This year the world woke up to the society-shifting power of artificial intelligence

📸 Magic Leap shows off its Magic Leap One ‘Creator’s Edition’ AR headset, shipping in 2018

🤑 Where VC’s Will Invest in 2018: Blockchain, AI, Voice, Pets

📱 Apple will reportedly unify iOS and macOS apps in 2018

🔮 These Technologies Will Shape The Future, According To One Of Silicon Valley’s Top VC Firms

🤐 Is Your Computer Secretly Mining Bitcoin Alternatives? A Guide to ‘Cryptojacking’

The Bottom Line —

Just in case you don’t have time to read each article, here are the key takeaways and why each one matters for government:

🤖 Meet The City of El Paso’s Chatbot, Ask Laura.

🏛 Why it Matters for Government: It’s great to see agencies focusing on enabling a better government experience through a variety of emerging technologies — including chatbots. We have seen dozens of government agencies leveraging chatbots for everything from IT helpdesk tickets to connecting computer-less immigrants to city services from AppCityLife. The challenge (and opportunity) will be finding a way to connecting all these separate bots together rather than each agency leveraging a bot with a silo’d database.

👀 The Hidden Human Workforce Powering Machine Intelligence

🏛 Why it Matters for Government: This read provided a good reminder that machine learning current (and will continue) to require a variety of human labor to continue to train software on new use-cases as well as complete tasks that machines still struggle with. Government agencies need to understand that using machine learning and artificial intelligence is not as simple as just signing up to an online service — there is and will continue to remain a level of human involvement that needs to be factored into the training and feedback loops.

🖋 How soon will computers replace The Economist’s writers?

🏛 Why it Matters for Government: The Economist put machine learning to work to write an article this week and the results indicated we still have some time before computers become more proficient at the more creative work. For government, this is an early look at a future where open data portals feed automated editorial bots that extract, analyze and summarize (with the preprogrammed human bias) the data. Now imagine all of those tasks being completed in minutes compared to the days and weeks of a traditional investigative reporter — this is the future, and it’s coming.

🚑 Uber’s Impact on Ambulance Usage

🏛 Why it Matters for Government: This was a fascinating study that indicated how ridesharing services like Uber, are reducing ambulance usage in certain areas (and for certain injuries). The lesson here for government needs to look to some of these emerging, and often perceived disruptive, companies as an extension of existing ways of doing things. A county in Michigan realized this and piloted using Uber as a way to get people to show up to jury duty — imagine what else it can do.

🌎 This year the world woke up to the society-shifting power of artificial intelligence

🏛 Why it Matters for Government: In 2017, Artificial intelligence (AI) broke from scientific journals and sci-fi movies into the mainstream media. As a result numerous organizations emerged to study and control the development of AI. For government agencies, AI has not had it’s Uber moment yet (a comparison of the way Uber unstoppably rolled out across the globe), but it will. It won’t lead to killer robots any time soon, but it will lead to smarter applications that take the place of government and interface with government like DoNotPay. I see this as an opportunity for government to find proactive ways to partner with the private-sector and other agencies to build meaningful experiences with the technology.

Read the full article on Medium


Meet your new lawyer bot, AI discovered a planet and new tech predictions for 2018 — This Week’s 10 Reads from a Chief Innovation Officer


I read over 100 articles this week so you don’t have to — Here are the top 10 you should read over the weekend and why they matter for the public sector. Let’s dive in —

🔮 Deloitte’s tech predictions for 2018: More AI, digital subscriptions, AR, and live events

🏛 Why it Matters for Government: In the past, government agencies had time to prepare for technology changes to impact their operations. They could simply watch the private-sector and wait a few years before it became widely adopted by their peers — and adapt accordingly. This is no longer possible in the exponential era we will live in, so agencies need to pay close attention to the macro-trends in technology so they can anticipate the future rather than reactively responding to it. These predictions from Deloitte are a great starting point for what’s in store in 2018.

👩‍⚖️ Lawyer-bots are shaking up jobs

🏛 Why it Matters for Government: Each week I’ve put together this series there seems to always be an article about AI replacing some new job title that makes the cut. This week’s new title also comes with a twist, because the rise of lawyer bots won’t just impact the jobs space, it will impact how people (or things in this case) will interface with government. For example, the lawyer bot DoNotPay enables you to automatically fight your parking ticket by generating the necessary paperwork to interface with municipal courts — so agencies must prepare for how AI may become a new customer that needs to interface with and be served by government.

💼 Meet Your New Boss: An Algorithm

🏛 Why it Matters for Government: We’ve seen algorithms appointed to company boards before as a new form of corporate governance, but welcome to the era where that algorithm may also become your boss. This article highlights how numerous companies are already using algorithms to orchestrate workflows — including the humans behind them.This can be a force and productivity-multiplier for government agencies that embrace it, but it will also enter unchartered territory on workforce and labor management that won’t be as easier to work through.

💰 City cashing in by selling streets, sidewalks to private owners

🏛 Why it Matters for Government: This article provided an interesting look at the practice of private industry buying a public space — and it’s something that is happening more often in cities across the country that struggle with maintaining aging public spaces. As more general revenues are impacted by technology (i.e. self-driving cars that don’t speed), cities will need to get creative with how and what they maintain going forward.

📉 Tencent says there are only 300,000 AI engineers worldwide, but millions are needed

🏛 Why it Matters for Government: AI is all the rage today and if you’re an AI engineer — not the same as an AI subject matter expert on Twitter — you can make some major bucks. The challenge today is that there are not enough AI engineers to build and expand AI inside of organizations today (which is a problem that public education will need to begin to work on) so companies fight to hire what’s available with lucrative compensations plans. Government agencies looking for AI talent in the future won’t be able to compete on salary so they will need to look at new ways to solve this problem such as on-demand and hybrid employees.

🔑 Zug ID: Exploring the First Publicly Verified Blockchain Identity

🏛 Why it Matters for Government: The crypto-valley of the world is centered around the swiss City of Zug — and they recently announced the beginning of the first publicly verified blockchain identity. This is important because we’re getting closer to a federated identity solution built on top of a decentralized infrastructure, in this case Ethereum. This infrastructure would serve as a secure and modern foundation for citizens to interact with government, businesses and one-another. Another important takeaway from this piece is that the City of Zug is collaborating with the public to identity the best starting use-cases — U.S. agencies should take note for their own pilots.

🚘 Full Tilt: When 100% of Cars Are Autonomous

🏛 Why it Matters for Government: I’ve seen lots of interesting write ups on autonomous vehicles over the years, but none quite like this one from the New York Times. Rather than talking about when self-driving cars will be here, they explore how self-driving cars will impact various aspects of our lives. It’s an important read for agencies to understand the social impacts that technology will have on the citizens we serve.

Read the Full Article on Medium.

The rise of car subscriptions, code-less machine learning and freelancing in the future of work— This Week’s 10 Reads from a Chief Innovation Officer

I read over 100 articles this week so you don’t have to — Here are the top 10 you should read over the weekend and why they matter for the public sector.


          🚙 You Will No Longer Lease a Car. You Will Subscribe to It.

🏛 Why it Matters for Government: Self-driving technology is not the most disruptive thing in the auto industry today (although it will be soon) — today it’s the rise of new ways to obtain a vehicle. From the rise of companies like Car2Go and Silvercar — to on-demand services like Uber and Lyft, these are all examples of the rise of flexible vehicle usage. We’re going from a society of ownership to a society of subscriptions and anything as-a-service. For government agencies, the rise of new flexible models of vehicle ownership will require changes in the tax infrastructure many government agencies rely own to support their general revenues.

🎓 Now anyone can explore machine learning, no coding required

🏛 Why it Matters for Government: Machine learning has the potential to help government agencies make better sense of their data but it has required new skills that existing employees do not always have. The rise of frictionless and code-less machine learning systems will help lower the barrier for agencies and existing employees to begin to adopt the technology.

🎫 This New Blockchain Project Gives Homeless New Yorkers A Digital Identity

🏛 Why it Matters for Government: Historically, technology has unlocked significant value for those that have had the means of accessing it — that’s why this story of using the blockchain to provide identity to homeless individuals in New York is so powerful. Government agencies should take notice of this use-case and ensure that they continue to focus on digital equity in all new technology initiatives.

📉 The Hidden Player Spurring a Wave of Cheap Consumer Devices: Amazon

🏛 Why it Matters for Government: It’s important for government agencies to understand the macro-trends impacting technology adoption — and this was a great article that illustrated the impact Amazon has had on the current wave of inexpensive devices in the market — all of which people are using to interface with government at a level never seen before.

🆓 Google Is Giving Away AI That Can Build Your Genome Sequence

🏛 Why it Matters for Government: In 1991 it cost $2.7 billion dollars to sequence the first human genome and over the years we’ve seen that exponentially decline to approximately $1,000 per person. Now enter freemium — the ability to have your genome sequenced by AI at no cost — but there’s always a catch, and government agencies will need to deal with how to regulate the use of genetic data in future data privacy conversations.

Read the full article on Medium

Hacking cars, job-stealing robots and a newspaper becomes a software company — This Week’s 10 Reads from a Chief Innovation Officer

⏱ Watch Thieves Hack Keyless Entry to Steal a Mercedes in Less Than a Minute

🏛 Why it Matters for Government: This video is a good example that demonstrates how the interconnectedness of society will lead to new forms of crime we could never anticipate — such as someone hacking a keyless vehicle to steal it. Local government agencies will be the frontlines of these new battles and it’s important for them to recognize the trends and equip their staff (in this case law enforcement) to handle these new forms of crime.

⌚️ IOTA launches IoT data marketplace, envisions devices autonomously buying and trading information

🏛 Why it Matters for Government: There are multiple IoT platforms that are competing to become the new standard in Internet-enabled devices (HomeKit, etc.); unfortunately, their standards are typically wrapped up into hardware — which is why a platform for IoT data instead of platform for devices makes so much sense. In order to realize real value from IoT, government agencies will need to focus bringing data from disparate devices into one place. A streetlight with a dozen sensors doesn’t make your city smarter — the ability to access, analyze and process its data (and other devices) is what does.

☁️ Amazon Focuses on Machine Learning to Beat Cloud Rivals

🏛 Why it Matters for Government: It’s great to see that cloud infrastructure companies are shifting their focus from optimizing basic infrastructure functions (speed, etc.) into enabling new services through on-demand models (i.e., machine learning or AI-as-a-service). These new cloud applications will enable government agencies to have access to state-of-the-art capabilities on-demand and disruptively priced. No state and local government agency could afford a supercomputer in the past, but they now have the ability to use one in the cloud for pennies on the dollar.

💰 UK Government Launches £20 Million Fund for Gov Tech Startups

🏛 Why it Matters for Government: It’s great to see the spread and maturity of the government technology (gov tech) industry across the globe. From London, England to New York City, New York, gov tech is a growing industry that has enabled entrepreneurs to transform city hall — and the best is yet to come. You can read more about what we are seeing in the market on GovTech Biz.

🔑 Blockchains are poised to kill off passwords, once and for all

🏛 Why it Matters for Government: The blockchain has the potential to disrupt many industries, including government. A foundational element of this disruption will be wrapped up in user identity and will fundamentally flip how we access the Internet — and further eliminating the need for traditional passwords altogether. For government, blockchain can provide a powerful decentralized infrastructure that is resilient and secure as a byproduct. The tech is still in its infancy from an ease of development standpoint, but every day it’s becoming much easier to build on.

Read the full article on Medium

Deep learning eating software, pop-up mesh networks and a blockchain-enabled turkey — This Week’s 10 Reads from a Chief Innovation Office


I read over 100 articles this week so you don’t have to — Here are the top 10 you should read over the weekend and (new addition!) why they matter for government.

👀 To Understand the Future of Cities, Watch the Curb. Yeah, the Curb

🏛 Why it Matters for Government: The curb is where you get picked up by Uber, have your local packages delivered or jump into a Car2Go — and it’s only going to get more important with the rise of new mobility behaviors. Cities are increasingly looking at the curb as an important aspect of the bigger mobility picture and you should too.

💰 Analyzing start-up and investment trends in the mobility ecosystem

🏛 Why it Matters for Government: Government agencies need to have an exponential mindset when it comes to how they plan and execute on any capital project. Part of developing an exponential mindset, is understanding the big picture — this article provided a good start if your interested in mobility with an insightful look at the start-up and investment ecosystem that continues to grow.

🍴 Deep Learning is Eating Software

🏛 Why it Matters for Government: Deep Learning, a subfield of machine learning, is fundamentally changing how we build software. As Pete Warden states in the article, “Instead of writing and maintaining intricate, layered tangles of logic, the [software] developer has to become a teacher, a curator of training data and an analyst of results.” Warden also believes, “in ten years…most software jobs won’t involve programming,” and I agree. For government, deep learning can help connect the dots between different silos of software and data and enable government to extract more impactful insights that are too complex to extract today.

📡 A mesh network spontaneously erupts in the US and helps connect Puerto Rico

🏛 Why it Matters for Government: This is a powerful story of resiliency, the power of people and a clever way to build a network using Bluetooth and a device called the goTenna. As government leaders look to increase resiliency and strengthen disaster recovery plans, they should incorporate the power of their own networks of people as an aspect of that strategy. As we’ve seen from Hurricane Harvey to Puerto Rico, people can identify, fund and implement lifesaving approaches sometimes quicker than government can respond.

🤩 Microsoft unveils special Skype version for freelancers

🏛 Why it Matters for Government: Freelancers are task-based contractors (they get a 1099 instead of a W-2 at the end of the year), that are on the rise thanks to Uber, TaskRabbitUpwork and others. Almost anyone today can pickup their phone and become a freelancer for one of these firms, which has blossomed into what is now called the sharing or ‘gig’ economy. These companies provide an early glimpse of the future of work — the rise of task-based work — and it’s becoming such an important driver that Microsoft built an optimized version of Skype just for these new workers to book clients and get paid all on their platform. Government take note, your best employees may not work directly for you in the future — they may be part of the crowd.

🚕 Uber orders 24,000 Volvo XC90s for driverless fleet

🏛 Why it Matters for Government: Ordering 24,000 self-driving Volvos is a fairly big bet by Uber ($1.4 billion dollars to be exact) that we will be using self-driving taxis in the not-to-distant future. The self-driving taxis are scheduled to be delivered and on the road between 2019–2021 — so government agencies need to get ready and start to prepare for how self-driving vehicles will impact planning, revenues and much more.

Read the full blogpost at on Medium.

A Tesla semi, balloon-powered Internet, and Bill Gates is building a smart city — This Week’s 10 Reads from a Chief Innovation Officer


I read over 100 articles this week so you don’t have to — Here are the top 10 you should read over the weekend and (new addition!) why they matter for government.

♻️ Your Strategy Should Be a Hypothesis You Constantly Adjust

🏛 Why it Matters for Government: Government needs to adopt an adaptive mindset to better respond to change and new technologies. The pace of change is accelerating and agencies that don’t have a culture to adapt will not be prepared to face the disruptions ahead.

🚛 This is the Tesla electric semi truck

🏛 Why it Matters for Government: The eventual rise of self-driving semi-trucks will challenges existing revenue structures for government. The National League of Cities (NLC) put out a guide to help cities prepare.

👨‍🚀 21 Jobs of the Future — A Guide to Getting And Staying Employed [PDF]

🏛 Why it Matters for Government: The Center for Digital Government counts 27 new C-level positions that have entered the public sector in recent years — an early indication that government is not immune to change and is looking for ways to make sense of it today.

🚦 Louisville Uses Waze Data for Better Transportation Outcomes

🏛 Why it Matters for Government: Becoming a smart city does not happen when you blanket your city with expensive sensors — it happens when you find ways to leverage and maximize the infrastructure you already have, like your citizens.

⚠️ Cisco: Most IoT projects are failing due to lack of experience and security

🏛 Why it Matters for Government: Many IoT initiatives have struggled to succeed due to a variety of purposes, and I would argue that the main reason is a lack of defined purpose or business value. Government agencies need to ensure all technology, in this case IoT, has a strategic value before pulling the trigger.

🏙 Bill Gates buys big chunk of land in Arizona to build ‘smart city’

🏛 Why it Matters for Government: Bill Gates is the latest to join Alphabet and others in building a model smart city from scratch. There are a wide host of benefits and learnings that will happen from these exercises, but I also think it’s important to keep in mind that existing cities cannot be rebuilt — so we must ensure technology from these experiments can also be applied to pre-built environments.

Read the full post on Medium

The Rise of the Citizen Experience Why The Future of Citizen Engagement Is All About The Experience.


Since 1996, the Center for Digital Government and Government Technology magazine have run a popular awards program called the Best of Web. Launched in the pioneer days of the web, we created the program to inspire and benchmark state and local governments embrace of the Internet — something that became known as the e-government movement.

Today, 20 years later, governments have clearly made big strides in leveraging technology to enhance the relationship between agencies and citizens. In addition to a ubiquitous government web presence, public agencies have developed award-winning social media programs, hired civic engagement coordinators, built custom apps and more. Clearly tech-powered citizen and civic engagement has become a big deal.

Yet as far as this field has come, there remains a long way to go. So in an effort to focus on what we see as the next generation of government service, we have launched our first ever Government Experience Awards — to help benchmark and evolve the experience of government.

Why Focus on Experience

The problem with focusing on civic engagement alone is that we tend to quantify success based on the channels we are on and by evaluating how many Twitter followers, Facebook likes or website visitors we have. Likes, followers and page views are important metrics, but they miss the real opportunity to change the underlying government and citizen relationship. What if that Twitter feed or Facebook follower is not the most effective experience to reach our citizens? These are hard questions we must be able to ask ourselves and adapt accordingly. It is time to evolve our focus in government from civic engagement to the citizen experience.

The Citizen Experience

Citizen Experience — The interactions between government and citizens across multiple channels that create mutual value.

Every day, millions of us will browse Facebook’s newsfeed, select a movie to watch online or order a product — what is hidden under the surface of these experiences is that they are all built around us, and that level of customization is beginning to affect the government experience. A few years ago, Paul W. Taylor and I began researching these interactions and came to the realization that citizen experiences with private sector technologies are actually shaping their expectations for government service delivery. It’s actually the same dynamics that fueled the spread of e-government on the Internet (where everyone needed a website), now applied to an exponentially changing technology and behavior landscape online.

Today, government agencies don’t just need a website — they need to be available at City Hall; through the Amazon Echo; on a responsive website; and through a kiosk in a grocery store — they need to be available everywhere at any time.

Continue reading on Medium.

Why Your Best Employees Won’t Work For You In The Future - And Why It’s Not A Bad Thing


Co-written by Daniel Charboneau.

Today we recruit and retain our best employees primarily through financial means. We attract talent using extrinsic incentives, such as an attractive salary, good benefits package, and flexible work arrangements.

The competitive nature of hiring the best candidates has forced many companies to offer creative (and expensive) packages. Once the talent has been recruited, companies then shift toward paying attention to how to retain their best assets, dealing with issues from boredom to competitors. This presents a constant challenge. Money is rarely a viable solution to the problem of retaining talent — not that money was ever a good solution in this case.


Today’s employees come from a different generation and subsequently have completely different motivators.

Money is not the primary driver for this new generation. In fact, one study shows that 50 percent of millennials would rather have no job than have a job they hate.

In addition, there are two other trends that are redefining the workforce of the future:

1. Hyperconnectivity:

Company offices were once the central hubs of the workforce. Computing power and connectivity were only available in the office. This is no more. In most cases, the pace of change in consumer technologies has equipped employees with more powerful devices and put faster connectivity in their pockets than their workplaces. Companies struggle to keep up with the pace of technological progress, which is affected by factors including culture, knowledge gaps and major capital investments in technology infrastructures that are now considered legacy.

2. Sharing Economy:

The sharing economy is a new economic force disrupting industries in every vertical. Essentially this new collective behavior is about consumers selling their excess capacity, whether it be their mind, time, home or car, for economic value. This has led to the rise of many people-powered companies with disrupted workforces.

oDesk is an online company that allows anyone to post a need they have and others can bid on completing it. For example, let’s say you need a logo designed. You can find a design agency and pay a premium or you can put out this need to the crowd on oDesk. The oDesk crowd is composed of people from all over the world with specific talents in a variety of highly specialized areas. Within 48 hours of listing your request for a logo on oDesk, you get six compositions and the ability to pick (and pay) for the one you like best. Your total cost is $50. It would be easy to only look at the economic benefit to the person requesting the logo, but let’s look at it from the flip side — the person doing the work. Individuals who participate in crowdsourced work sites like oDesk are able to work from the comfort of their home, make their own hours and have as many clients as they would like.

The sharing economy doesn’t rip these talented workers off, but rather gives them a platform to sell their talents to a larger audience on their terms. We are at an inflection point where this behavior has become not just more common but a new standard in how people will do work for companies. This new behavior is also the foundation of the future of your workforce. If you want to have the most talented employees on your team, you’re going to need to know how to go to them.


As the title of this article alludes, your best employees of the future will not work for you directly. How do you prepare your organization for this new reality?

1. Embrace flexible and distributed workforces.

First, you must recognize that your future dream team may be a hybrid of full-time employees and crowdsourced consultants. While in the past, remote working has been stigmatized, you must understand that this is a new normal that your future workforce will expect.

2. Hire employees who share in your greater mission.

The days of working without a mission or vision are over. The millennial generation is heavily motivated by a sense of purpose. In fact, mission is more influential than many other perks. Your future workforce will need a larger vision or goal to wrap their arms around and — as Jim Collins notably points out in his book Built to Last — your vision must be more than words. It must be something you live.

3. Let go of command and control leadership.

Micromanagement is still rampant in companies today because most employees will tolerate it rather than face being without a job. Your future workforce of millennials will not tolerate this behavior. They will quit the moment they smell a micromanager. This requires that we provide employees autonomy in their domain, which will make them more effective as a byproduct. Autonomy doesn’t mean employees shouldn’t be held accountable, it means that we give them breathing room to innovate and master their roles. If you’re curious about other strategies to engage and manage these employees, read Jane McGonigal’s Reality is Broken, where she breaks down how to gamify business.

4. Don’t abuse the crowd.

It is in your best interest not to abuse a crowdsourced labor pool, either by undercutting value or by using it as a concept board without monetary exchange. A crowdsourced labor pool is only as valuable as the built audience, meaning if you take advantage of the audience you risk losing access in the future. It is a symbiotic relationship and must be treated as such.


Disruption of the workforce is not all bad. (We did promise a ‘good’ thing.) Thankfully there are four good things to look forward to when you embrace the workforce of the future:

1. Your workforce will be engaged.

Your future employees will actually want to work for you and will be vested in doing their best work to continue the business relationship. If a crowdsourced worker doesn’t work out, then you part ways without all the complexity of the current labor system. If you let go of command and control, your employees will demonstrate mastery.

2. Your workforce will be more innovative.

Your crowdsourced future workers will be more innovative and productive. The fact that they are enabled to work for you and other clients will provide consistent inspiration and new ideas that they will readily bring to you to implement. In addition, this new work environment will provide a constant flow of new stimuli and experiences not available in a structured corporate environment with a singular base of employees.

3. World-changing work gets done.

What can you do when you combine an engaged workforce with a greater purpose? You have all the elements you need to do work that can fundamentally change the world. This may sound crazy, but it’s completely possible and it will happen for companies and organizations that embrace their workers and the work they’re able to do.

4. Business accelerates.

Another benefit to plugging into an external pool of skilled workers is that you have access to a talent pool that scales with a business. It’s like applying cloud infrastructure to human resources. The talent pool grows with you, without added complexity and offers a distinct competitive advantage for any company that takes advantage of it.

Read the full post at Medium.