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