While innovation can’t be turned on like a tap, it is something you can make more likely to happen.
Creating a favourable environment for innovation starts with getting the basics right:
In other words, what I mean by digital transformation.
Integrating these strategies, processes and tools provides a strong foundation onto which you can build dedicated innovation processes.
However, building and integrating them is itself a major innovation challenge!
Sidestep this chicken-and-egg problem by framing each strategy and programme as key components of the final, integrated goal: to build an Internal Innovation Community, which:
But don’t try and build it all at once. Instead, build and roll out one part of the Programme, and then use it to build and roll out the next.
Like to figure out how? Get in touch.
More services: start with Communication strategy.
With 700 or 800 million Chinese internet users and fewer data protection rules, China is as rich in data as the Gulf States are in oil... Chinese commentators have embraced the idea of a coming singularity... AI development will be conducted by AI itself, creating exponential feedback ... the human mind will be unable to keep pace with robotized w…
Managing a Medium Publication to share our the journey as we build Knowledge4Policy: "share our experiences … as transparently as possible, and invite ideas and perspectives from experts in evidence-based policymaking around the world"
The metric our intuition tells us we should maximize is known in statistics as recall... number of true positives divided by the number of true positives plus the number of false negatives. ... true positives are correctly identified terrorists, and false negatives ... labels as not terrorists that actually were terrorists... a model’s ability to …
... they have recently embarked on a journey to become “Agile.”... neither explicit support nor discouragement from senior executives... they are failing for the same list of reasons as every other team I have met with in the last 5 years. Here are those reasons:... 1. There is no clear vision for the product....The “idea” has been handed down …
algorithmic accountability bill... a task force that will monitor the fairness and validity of algorithms used by municipal agencies... include groups and individuals that are affected by algorithms, technology ethicists, city department heads using AI, technology companies as well as legal experts... law enforcement and ... technology companies…
“We are so screwed it's beyond what most of us can imagine... And depending how far you look into the future it just gets worse.”... a slew of slick, easy-to-use, and eventually seamless technological tools for manipulating perception and falsifying reality... They’re running war game–style disaster scenarios based on technologies that have begun …
it’s leaps-and-bounds more useful to prototype your UX with a user’s real content than it is to test with real ML models... By re-orienting the conventional AI paradigm from finding ways to make the machine smarter, to exploring ways to augment human capability, we can unlock far greater potential in machine learning... we have a tremendous opp…
a test case where AI assisted high school students in their transition to college, helping them to navigate the many twists and turns along the way... students ... who received Pounce outreach completed their required pre-matriculation tasks and enrolled on-time at significantly higher rates ... Pounce reduced GSU’s summer melt by 21%... the wor…
If using a beautiful content management system doesn’t miraculously solve a media company’s cash flow problems, what will? If short videos, or elaborate commenting systems, or mobile storytelling, or interactive graphics, or Snapchat Stories, or Instagram hashtags, or Instant Articles, or Google AMP, or programmatic advertising, or native advertis…
Deep learning’s advances are the product of pattern recognition: neural networks memorize classes of things ... But almost all the interesting problems in cognition aren’t classification problems at all... The systems are greedy because they demand huge sets of training data. Brittle because when... confronted with scenarios that differ from the …
We made a fake news detector with above a 95% accuracy (on a validation set) that uses machine learning and Natural Language Processing that you can download here. In the real world, the accuracy might be lower... we decided to just try and scrape domains that were known fake, real, satire, etc. and see if we could build a data set quickly... Th…
The News Quality Scoring (NQS) will combine quality journalism content with new machine learning algorithms... as batch of stories enter the platform, they are scored on a 1-5 scale ... quality ... automatically and in real time.... Quantifiable Signals ... look at structure and patterns of the HTML page, advertising density, use of visual eleme…
“death by PowerPoint,”... sucks the life and energy out of ... meetings... spreadsheets rife with errors and macro miscalculations. Email and chat facilitate ... inbox overload ... So what makes artificial intelligence/machine learning (AI/ML) champions confident that their technologies will be immune to comparably counterproductive outcomes? ... …
algorithmic systems don’t simply cost money to implement. They cost money to maintain. They cost money to audit. They cost money to evolve ... divert taxpayer money from direct services, to lining the pockets of for-profit entities under the illusion of helping people....a diversion of liability ... those in powerful positions blame the algorithms…
“data is the new oil” ... your company can consider itself lucky. You collected all this data, and then it turned out you were sitting on an oil reserve ... when you have that sort of luck, it is probably a good idea to ask “Are we really that lucky?”... the data you are sitting on now... accumulated over time, is the type of data used to build t…
Over the coming years, we’ll see the BBC develop and roll-out more and more machine learning algorithms for storing, retrieving, tagging and possibly even creating content.... What if we lock our audiences in to what they just want to hear, never challenging them? ... Should the algorithms we use be open to public scrutiny?... inform our own thin…
The scientists asked the volunteers to perform a creative thinking task as they lay inside a brain scanner... strong connectivity between three networks of the brain... default mode network, is linked to spontaneous thinking and mind wandering... executive control network, is engaged when people focus in on their thoughts... salience network, help…
Any real-world solution consists of these core algorithms and a non-AI shell to prepare and process data ... this non-AI part is oftentimes the real value proposition of AI-driven companies. It’s their secret sauce.... f you build your business in the path of the AI mainstream train, nothing can save you.... there are a few scenarios that are imp…
Artificial intelligence has been hailed as the last invention human beings will ever create. Universal basic income... is now being discussed openly .... Design thinking has entered mainstream business lexicon ... These three unique concepts will have a powerful impact on work in the coming decades... If some people do not have to work to surviv…
The things that you can change (depth of the network, the activation function, the learning rate, etc.) are called hyperparameters. So by clicking around in the playground, you are "modifying the hyperparameters of a feedforward multilayer neural network".
a four-factor definition of what I consider to be a vertical AI startup:... full-stack fully-integrated solution to the end customer problem from the interface ... down the stack to the functionality, models, and data;... deep subject matter expertise... trust, respect, and relationships within the industry.... combine the subject matter and tec…
startups today need to build systems of intelligence™ — AI powered applications — “the new moats.”... SaaS and cloud services can have strong economies of scale; ... your product or service has “network effects” if each additional user ... accrues more value to every other user;... Proprietary software or methods is where most technology compan…
Here’s a discussion of the way machine learning-first startups are built, which ones are pushing the ecosystem forward, and why they look so different than the SaaS startups that came before them... you can do very interesting things with IBM Watson... if you spend a few months and a significant amount of money training it... their marketing claim…
big data has transformed AI, to an almost unreasonable level. Blockchain technology could transform AI too... Some applications ... mundane... Some appear almost unreasonable, like AI that can own itself ... This article will explore these applications... blockchains introduced three new characteristics: decentralized / shared control, immutable …
Deep Learning systems will most likely not be programmed in the manner that we do today. Rather, it will be more like working with a biological system where we purposely condition the system to achieve our objectives.
Q Data is a marketplace for selling and buying raw and aggregate data, and Tasko offers on-demand data collection... Many enterprises have plenty of data but don’t know how ... Latent value lurks everywhere... many startups know how to turn data into value using AI, but they’re starving for data.... Blockchain... will allow figuring out who orig…
Building on our Primer on Artificial Intelligence, this microsite is intended to help newcomers (both non-technical and technical) begin exploring what's possible with AI... a resource for anyone asking those questions, complete with examples and sample code
Meta-Learning can be understood as algorithms the search and select different DL architectures. Hyper-parameter optimization is an instance of this, however there are another more elaborate algorithms
The video distills the current state of AI into 3 waves... simplified presentation because it lumps all of machine learning, Bayesian methods and Deep Learning into a single category. There are many more approaches to AI that don’t fit within DARPA’s 3 waves. Pedro Domingos ... talks about the 5 Tribes of AI: Connectionists, Symbolists, Evolutiona…
A.I. Writer ... wrote an article. The only instructions it received were to write a story with the headline “Sugar controversy history”. It received no other input ... AlphaZero, the A.I. from DeepMind, learned to be the best at chess than any human in less than four hours.
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