Category Archives: A.I.

3 Steps to adopting AI

I’ve being asked for my view on AI a lot this year, more so than last. It would appear the industry has caught up with the ‘hype’ being a reality.

I’m not getting the slightly twitchy ’Is it going to steal my job?’ anymore though, now the questions are; Is this something I need to be bothered about?, Can I afford it?, Where do I start?

All good questions. If you’re a brand or business looking to get ahead, simply keep up, or maybe even catch up, you can’t afford not to be thinking about this and getting a beta into place. If you don’t your competition will, and then you will be sat watching them eat your share of market or voice, or both. Either way, I can’t imagine that’s something you’re keen to see happen.

Roughly a third of the brands I work across either have a version of an AI (artificial Intelligence) ready IA (Intelligent Assistant) or have jumped straight into an AI trial or beta. Every single one of them has seen positive results. Every single one of them is now developing a roadmap with us to put in place milestones to be better, faster and more informed on a real time basis.

The shape of these solutions vary from bettering service response levels to informing fashion design and everything in-between. But the steps to get there are the same, and here they are;

Work out what the problem is you want to solve

Ok, obvious right? But actually I highlight this because I recommend you don’t ‘do a chatbot’ because your competitor did.

Is there a challenge that advertising or marketing isn’t fixing for you right now? Do you have a human centered design idea that you can’t quite get to grips with? Do you have micro communities you don’t understand or can’t reach in meaningful ways?

All of these are problems AI can help you with, quickly and effectively. So consider where you might want to turbo charge a solution and put a brief together around that.  Be clear about your brief as well, if you’re vague about what you want to achieve it’s tricky to train an AI to think comprehensively, it in turn will be vague.

Review and understand ALL of your relevant data

AI is only ever as good as the data you feed it; the more data you have, the more connections can be compiled and the faster it will evaluate and learn. It’s not magic, it’s algorithm on speed. 

Define the goals you want to achieve in order to reach the objective in your brief, or work with an AI data partner to do this (most good agencies should have someone who can help you get started and then find the right partner for you, the answer isn’t always ‘Watson’ btw). You will likely have a mass of data you understand and a bank of data you’ve never really thought about, once you have it all in one place you need to work out where the gaps are and fill them in.

This up front bit seems tedious, that’s because it is. But don’t cut corners as you’ll only pay for it further down the line. The better the data set, the more robust your AI solution will be and the quicker you will see results.

Choose your AI partner

What you want your AI to do will depend on what supplier or partner you choose. There are many solutions already available at both scale up and enterprise level to choose from. They offer everything from; language skills, analytics, tech stacks that speed up services, listening, finding ‘moments of serendipity’ through to predictive analytics and forecasting.

A read of IBM Watson and AWS are good places to start if you want to dig more into what’s on offer, but also check out the likes of DigitalGenius and DeepMind for something smaller or a bit more creative.

Of course you may be looking to create something truly bespoke in which case you may have to hire a bunch of experts to create your algorithm from scratch, or seek a start up willing to work with you and co-create. There are an abundance of really cool start ups just about to break on to the scene so this is a truly valid and cost effective approach, don’t rule it out.

That’s it. From here, you should be in safe hands. You know what you want, you have the data in play to get it and a partner who knows what to do with the data to get what you want.

My parting piece of advice is to remember that AI / ML (Machine Learning) are solutions that learn and develop, think of it as a child going from kindergarten to PHD level but in weeks rather than years. There may be a few mistakes along the way but be patient and think big, because with direction and correction the results are nothing short of impressive.

And it’s not just customer service stuff either…

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Marchesa and Watson’s cognitive dress – read more here

P.S. Here’s a mini wiki;

IA; Generally speaking an Intelligent Assistant is a pre-structured agent used to deliver automated responses but does not include self correction or ‘learning’, therefore is not always classed as AI. It’s often the step before AI and used to validate the quality of data. That said some do include NLP (Natural Language Processing) and are connected to the IoT (Internet of Things) so the line is often blurred.

NLP; Natural language Processing is a computer science that uses AI and handles human speech between computers and humans.

AI; Artificial Intelligence is an intelligent or cognitive behavior exhibited by machines, sometimes also referred to as problem solving or learning.

ML; Machine Learning is a sub-field of AI that includes programming computers to deepen the learning process.

P.P.S. If you find AI interesting generally you might want to check out my other blog, co-written with @kayperbeats – it’s a bit more off the wall but it’s insightful none-the-less.

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Robots are going soft in their new age…

This month researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) shared a way to 3D print robots with advanced shock absorbing materials, so that robots can be safer to use and more accurate in their movement.

It uses a Programmable Viscoelastic Material (PVM) that allows the originator of the 3D print file to program the movement and elasticity of each area of the design.

It’s particularly interesting when you think about ‘soft robots’ being created for use in exoskeletal rehabilitation, my knee replacement in a few years just got much more appealing…

But more importantly it really demonstrates just how quickly robotics is moving forwards, we have robotic caterpillars that use liquid crystal elastometer tech, a walking soft robot  and as if that wasn’t enough check this little guy out…

autobot

Octobot is the first autonomous, untethered entirely soft 3D printed robot!

The Harvard team behind this derived a way to power the Octobot through a chemical reaction controlled through a logic board. They describe this as a ‘hybrid assembly approach’ whereby they create each of the components; circuit board, control panel, fuel storage, power component and fabricate the cushioning exterior using; 3D printing, molding and soft lithography methods.

Mind bending.

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I Dredd to think…

I’m writing this from one of my favourite cities in the world.

For me Hong Kong is the epitome of where urban dwellings meet the jungle. Tropics growing into brick, buildings built around ancient roots. It feels like a chapter from I Am Legend, except we’re all still very much alive.

The subject of technology outgrowing humans is rife here, I’m collaborating on a project with a friend and it’s come up time and again as this city and the surrounding majors struggle to adopt innovations in a way that resonate with the humble origins the culture is built upon.

This week has left me reflecting on whether sustainable thinking will lend to mega metropolises, or whether global urbanisation will mean that rural areas will get left behind.

As transport becomes more sustainable, more affordable, ever faster and more connected, will it conflict with the debate around borders being reimposed and trade restricted back to regions again? Take Brexit as an example closer to home; if we leave the EU and customs barriers lead to effective restriction to start with, will we note the stagnation that will quickly follow so that when international exchange comes to a standstill we won’t notice the daily conflict?

On a related note but different angle, technology has allowed that we all become producers. Open SDK’s and API’s, 3D printing and crowdfunding all mean that rather than brands lending to personalisation, self made and personally tailored will be the next movement. Will brands play a role in enabling this or will they move to a protective stance on their IP?

I like to think that all my favourite cities are characterised by diversity and as such we will continue to encourage flexibility across the globe, joining forces to build reliance against what could otherwise be a tough future.

But as technology surges with intelligence at it’s core, the biggest question I am hearing repeatedly from all over is whether global cooperation and unlimited interaction will evolve to one diverse world where we see and share everything, or whether the future take us back to the past?

Will Mega Metropolises mean just Mega blocks and Mega highways? Will we live in a Mega City One? Will it be more Skynet than that? So many film references and a tad Dredd I know, but I believe the next few years will impact this more than we care to acknowledge.

I judge you not.

judge-dredd-on-screen-future-still-up-in-the-air-01

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A view on the programmatic semantics of binary trading predication

What the..? You may ask.

Well, I’ll tell you… you see most of my meetings this week have been about the uptake of programmatic, commonly I’m being asked; Is it robust? Is it robots? Are the robots robust? How do I plug it in? Do the robots plug it in? Are the robust robots plugged in?

Breath in.

So, having explained this a lot, I find it’s easier to start with what it is not:

It is not: Real Time Bidding (RTB)

It is not: A new type of media

It is not: A new format, a new device, a new tactic, a new insight or a new inventory. 

It is, quite simply put; AN AUTOMATED PROCESS.

Programmatic Trading simplifies the buying and selling process by digitally connecting the buyer and the seller of the ad space. This brings automation to the process adding operational and pricing efficiencies which take the mundane and repetitive tasks away from humans.

It is important to note that this doesn’t mean that creative is any less important, studies show that creative is still responsible for 70% of the effectiveness, the placement and timing making up the other 30%.

Marketing is, and will always be, about getting the right piece of content to the right person at the right time. Programmatic quite simply means we can be quicker, more effective and therefore scale in a more structured and relevant way. 

I love this example from Nike and Google, it’s a great demonstration of what can be achieved with clever design and RTB, and just recently Unilever have explored the use of video in their Romeo Reboot campaign.

So in summary, you still need a wicked idea, a clever plan and some digital genius behind it, but if you embrace the fact that you can’t be in total control of the real time exchange and you’re prepared to sit back and enjoy the ride, then some really cool stuff can happen. 

And contrary to the title of this post, it’s not that tricky…

image found on adweek.com - thank you

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VIRTUALLY HUMAN

I love as much as the next person donning a head set and immersing myself in a world of fantasy where I can fly around on my very own dragon and slay my enemies, an experience that envelops my physical and sensory powers, transporting me to a space and time beyond my real identity.

But this is fast becoming just a norm, scary? Maybe… maybe not.

VR is winning over on mere fiction; it challenges the mind, it challenges the perception of reality, I guess you could say therefore that it challenges mankind.

Another technology that I love working with is Artificial Intelligence, the only thing I can imagine more exciting than either VR or AI, is the two working together.

AI is the science of making intelligent machines or programs based on algorithms derived from understanding the cognitive ability of the human brain but not limited to biology. Once taught, these machines can be scripted and controlled, but more exciting they can become autonomous.

We’re not quite at the stage where we characterize what kind of computer procedures we want to call intelligent, but they lean towards those that are maybe less mechanical, or less engineered, i.e. prompted by emotion.

Human IQ is the measure at which human intelligence develops based on; speed, short-term memory and the accuracy of long-term memory. AI is arguably the reverse; programs have plenty of memory and speed but their abilities correspond to inputs and commands.

To this end, currently most work involving AI involves studying the challenges the world puts to our intelligence in order to solve them at an improved return on speed or money, but if we were to combine a world created virtually along with the abilities of AI, then surely we could create a new theorized knowledge source; a new perspective… a new reality.

Information is at our fingertips, the likes of Google sorted that one for us, but new insight, new knowledge, that is far more interesting. So if we could create worlds that anticipated situations of the future and then input artificial intelligence into it, then in this parallel universe we could create a new perception, a new reasoning.

Technology is powerful in the hands of humans, if we enhance that artificially then the virtual world could be our new oyster.

Cyborg Head

Now, where did I leave my Dragon..?

 

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Tell me what I want before I want it…

But stop invading my personal space.

It’s a tricky juxtaposition to deliver seamless personal service whilst not freaking consumers out with a big brother approach. I for one HATE banners, especially the ones that stalk me for days on end, however, I would like my utilities provider to remember who I am and take me to the last place I visited, or a nice welcome back page, rather than straight to paying bills even though I have a Direct Debit set up and they owe me money.

So given we’re seeing the fastest evolution in how we interact with devices ever, and that cloud computing means everything is on hand instantly, how long before intelligent assistants make all of our decisions for us?

The key difference will land when the predictive nature moves from our smartphones into our cars, our homes and eventually our offices en masse. It’s happening already; cars are synced to Spotify lists and traffic lights, in-home devices monitor how many bodies are in a room in order to moderate the heating but, this connectivity is not everywhere, yet.

Wearables are bridging some of the gaps; how long before my GP phones me up because my heart rate is too high when I’m out running or how long before my digital radio wakes me up to Stevie Wonder to sooth the after effect of a bad dream…

I’ve been prototyping with A.I solutions recently and can’t help but wonder when I will be able to curate my party playlists based on who’s attending, when I will be able to book taxis to pick up my guests and drop them off in the most effective order possible, when I will NEVER have to do a tax return again or manage my inbox…

I reckon true anticipatory computing is closer than we think.

Now get out of my cloud.

girl-on-a-cloud

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