Overview: Digital Transformation

The rise of the right is better seen as an early skirmish in a much longer, and far more significant, technology-led restructuring of our politics and society... Crypto-anarchists are mostly computer-hacking, anti-state libertarians ... believe that digital technology, provided citizens are able to use encryption themselves, is the route to a stat…

This article focuses on the project management and bot building, more than on the coding and framework implementation.... The main feature, the core of your bot, can be one to three different intents... “A bot that does everything will be good at nothing.”

some clients make it very, very difficult to work on their ideas... unknowingly sabotage their own projects.

We may see ‘creativity’ as an individual trait... but real creativity depends on a community of likeminded people... what we call creativity is not the product of single individuals, but of social systems making judgements about individual’s products.... Brian Eno calls this community a ‘scenius’—a group of creative individuals who make up an ‘eco…

algorithms don’t provide an “explanation” for their results or the results aren’t “interpretable.”  ... different people mean different things when they ask for an explanation of an algorithm’s results... Surely an algorithm is more knowable than a brain... I can think of at least four types of explainability problems.

consider the three main ways that businesses can or will use AI:• Assisted intelligence, now widely available, improves what people and organizations are already doing.• Augmented intelligence, emerging today, enables organizations and people to do things they couldn’t otherwise do.• Autonomous intelligence, being developed for the future, creates…

The data explorer provides an overview of the current state of play of European businesses as regards digital transformation.

From talking and working with founders, a number of websites regularly come up as go-to resources for startups. So we’ve put together a cheat sheet of the 27 best websites and resources for startup founders…

blockchains today aren’t like the internet in 1996; they’re more like Linux in 1996... vastly more democratic, and more technically compelling, than ... internet of today. Similarly, open-source Linux was vastly more democratic, and more technically compelling, than the Microsoft and Apple OSes that ruled computing at the time. But nobody used it …

a comprehensive Electionland case study. This 66-page playbook provides a detailed account of how Electionland was conceived, planned, and executed as the teams involved worked to track and cover voting on Election Day in 2016.

a policy paper on Artificial Intelligence and Machine Learning to help navigate some of the opportunities and challenges ... de-mystifying some of its fundamental concepts

for innovators who are tasked with problem solving and imagining the future, human curiosity and playfulness will always have the advantage.. . machines cannot yet have intuition, nor the ability to empathize, reframe problems and truly innovate.. . The robots may be coming for our jobs, but it is too early to call checkmate on human ingenuity.

It will still need human workers to review the machines’ output and make decisions AI can’t, but the greater need will be for the middle-level employees who have the experience to make judgment calls....[but] Where do those middle-level employees get that experience and judgment?

A chatbot like CNN’s is a great way to send news and alerts ... How can you build a chatbot like this?... Tangowork, a platform for communications teams that lets them easily create news-type chatbots... the Microsoft Bot Framework ... lets us support 9 channels — Facebook Messenger, SMS, Skype, Slack, Web-part, etc.—from a single codebase... you…

illustrates the current limitations of artificial intelligence... a human being invisibly takes over, responding to your request as if the algorithms were still at the helm... to reveal how people would react to an omniscient virtual assistant, and to provide data that would let the algorithms learn ...progress has been harder won than expected...…

Venting my spleen a little over on Medium.

there is no obvious way to design such a system so that it could always explain why it did what it did... How well can we expect to communicate—and get along with—intelligent machines that could be unpredictable and inscrutable? ... a journey to the bleeding edge of research on AI algorithms... including a meeting with one of the great philosopher…

becoming a learning organization was nothing like winning a marathon ...cultivating an award-winning orchard... nurturing systems and culture to produce meaningful results... We embarked on a systematic and phased approach to cultivating the organization we all wanted.

a free bot interface and resources already in the newsroom, Hefty built and launched her first bot, dubbed Elexi, prior to the November 2016 elections to provide audiences with the necessary information to become more informed voters... We had all these preview stories on our site on local issues. If a user asked a question about a candidate or a …

there are a number of companies looking at ways to apply AI, machine learning and related concepts to recruiting... we see glaring limitations to applying machine learning and AI to screen candidates based on their CVs and social media profiles alone... CVs alone fail to capture individual performance and contribution, raw talent, actual competenc…

As ML algorithms solve bigger and more complex problems... training them can require massive amounts of pre-labeled data.... As recently as 2015, only large companies like Google, Amazon and Apple had access to the massive data ... The democratization of ML gives individuals and startups a chance... But access to data is only one way in which M…

innovation is a series of steps, and that innovators possess certain characteristics... Almost everybody [has] innovative traits... the ability to think abstractly, having deep and broad knowledge, curiosity, openness to risk, grit, and dissatisfaction with the status quo... seek out experiences to put those traits to use

People are remarkably bad at explaining what they do, or how they go about reasoning, but we manage to live in a world filled with people, anyway.

There’s no shortage of resources about Digital Transformation on my Hub, but ... I’m not sure I recommend all of them. This edition includes three I do

how hard is it for someone to put true artificial intelligence into a chatbot? ... here are the 50 lines of code that enable your bot to understand speech:

Many famous scientists have something in common—they didn’t work long hours... lives were full and memorable, their work was prodigious, and yet their days are also filled with downtime... great students didn’t just practice more than the average, they practiced more deliberately... engaging with full concentration in a special activity to improv…

not necessarily easy to get buy-in from the organization... different parts of the organization are responsible for their own little bits so you can’t always do it within your own team.

throwing more data at problems won’t necessarily lead to progress... us to artificial general intelligence... there’s low-hanging fruit that deep learning’s good at  —  specific narrow tasks ... we’re not making progress on cognition and strong AI.... we can’t well interpret what deep learning is doing... it isn’t literally exactly memorization…

Federated Learning enables mobile phones to collaboratively learn a shared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud.

People will type... Take the most popular open input (such as ‘how are you?’ or the very frequent ‘no’). Then the most probable input in relation to your stories. Build answers to all these inputs. ... frame the subscription as becoming friends, and mention this implies receiving messages ... You need to first prove value and only afterwards ask f…