A big reset button on business

Business is like a petrie dish says Internet pioneer and Cluetrain Manifesto author Doc Searls about companies on the web.

“Every large company is just another color of a spore in a petrie dish.”

For the latest Decoding the New Economy video Internet Pioneer Doc Searls discusses The Respect Network, online privacy and the future of business on the web.

Doc Searls is one of the internet’s pioneers who helped write The Cluetrain Manifesto that laid out many of the ideas that underpinned the philosophies driving the early days of the internet.

Searls’ visit to Sydney was part of the rolling worldwide launch of the Respect Network, a system designed to improve internet users’ privacy through ‘personal clouds’ of information where people can choose to share data with companies and others.

A big reset button on business

In many ways The Respect Network shows how the internet has evolved since the days of the Cluetrain Manifesto, something that Searls puts in context.

“We wrote the Cluetrain Manifesto in 1999,” says Searls. “At that time Microsoft ruled the world, Apple was considered a failure – Steve Jobs had come along and they had the iMac but it was all yet to be proven – Google barely existed and Facebook didn’t exist at all.”

“On the one hand we saw the internet, we being the four authors of the Cluetrain Manifesto, and this whole new thing in the world that basically hit a big reset button on ‘business as usual'”

“It did that. I think we’re vindicated on that.”

Resetting business

“What we have now are new industrial giants; Apple became an industrial giant, Microsoft are fading away, Nokia was the number one smartphone company and they’re all but gone.”

One of the key things with today’s markets in Searls’ view is the amount of information that businesses can collect on their customers; something that ties into the original Cluetrain idea of all markets being conversations.

With the evolution of Big Data and the internet of things, Searls sees challenges for companies using old marketing methods which rely upon online tracking. Something that’s a challenge for social media services and many of the existing internet giants.

“The interesting thing is there’s a lot more intelligence that a company can get directly from their customers from things they already own than following us around on the internet.”

Breaking the silos

Searls also sees the current trend towards the internet being divided into little empires as a passing phase, “every company wants a unique offering but we need standards.”

For Searls the key thing about the current era internet is we’re only at the beginning of a time that empowers the individual,  “the older I get, the earlier it seems.”

“Anyone of us can do anything,” Searls says. “That’s the power – I’m optimistic about everything.”

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The limits of big data

A story of lost school books illustrates the limits of big data

A story in the Atlantic – Why Poor Schools Can’t Win At Standardized testing – illustrates the limits of Big Data.

When Meredith Broussard tried to computerise the text book inventory of her son’s school district she found the project limited by poor systems, fragmented record keeping and siloed management.

Broussard found the records were manually collated, collected on Microsoft Word documents and emailed to an under resourced office that entered details into an Excel Spreadsheet.

The Philadelphia schools don’t just have a textbook problem. They have a data problem—which is actually a people problem. We tend to think of data as immutable truth. But we forget that data and data-collection systems are created by people.

The human factor is a key limitation with any technology; if people aren’t collecting or using data properly than the best computer system in the world is useless. Garbage In, Garbage Out is a long standing IT industry saying.

Management systems are more than computer networks, they go to the very core of an organisation’s culture which in itself is probably a better indicator of how well a company or institution will survive the current period of change.

Were the Philadelphia public school system a business it would be a very good example of a company on its way to being digital roadkill, that it’s an educational network should worry anybody concerned about the economy’s future. That’s a bigger issue than Big Data.

 

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Staying healthy with Big Data

Doctors are starting to match shopping patterns to health problems

US medical centre chain Carolinas HealthCare has started mining patients’ credit card data to predict health outcomes reports Bloomberg Businessweek.

The idea is that by looking at credit information and purchasing records, doctors can anticipate what ailments their patients will present with.

Carolinas Healthcare’s matching of spending patterns to healthy is an obvious application of Big Data which illustrates some of the benefits that mining information can deliver for individuals and the community.

Should the project overcome patients’ valid privacy concerns, this is the sort of application that is going to be increasingly common as organisations figure out how to apply software to their mountains of information.

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A bot named Willy and the risk of trusting data

Allegations of Bitcoin market manipulation are a reminder of the risks in blindly trusting data.

For two years we were captivated by spectacular rise of the Bitcoin virtual currency. Allegations those gains were a result of market fixing raise important questions about the integrity of our data networks.

The Coin Desk website discusses how the Mt Gox Bitcoin exchange was being ramped by computer bot network nicknamed Willy.

Rampant market ramping – where stock prices are pushed up to attract suckers before those in know sell at a profit – has a proud financial market history; during the 1920s US stock boom, fortunes were made by inside players before the crash and its subsequent banning in 1934.

So it wouldn’t be a surprise that some smart players would try to ramp the Bitcoin market to make a buck and using a botnet – a network of infected computers – to run the trades is a good technological twist.

Blindly trusting data

The Willy botnet though is a worry for those of us watching the connected economy as it shows a number of weaknesses in a world where data is blindly trusted.

As Quinn Norton writes on Medium, everything in the software industry is broken and blindly trusting the data pouring into servers could be a risky move.

The internet of things is based upon the idea of sensors gathering data for smart services to make decisions – one of those decisions is buying and selling securities.

Feeding false information

It’s not too hard to see a scenario where a compromised service feeds false data such as steel shipments, pork belly consumption or energy usage to manipulate market prices or to damage a competitor’s business.

Real world ramifications of bad data could see not only honest investors out of pocket but also steel workers out work, abattoirs sitting on onsold stocks of pig carcasses or blackouts as energy companies miscalculate demand.

The latter has happened before, with Enron manipulating the Californian electricity market in the late 1990s.

When your supply chain depends upon connected devices reporting accurate information then the integrity of data becomes critical.

Like much in the computer world, the world of big data and the internet of things is based up trust, the Mt Gox Bitcoin manipulation reminds us that we can’t always trust the data we receive.

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The Australian Internet of Things Forum

The first Australian Internet of Things Forum is launched

The first Australian Internet of Things was held in Newcastle today which I MC’d and managed to give a quick presentation on my Geek’s Tour of Barcelona.

Big Data was the big message from all the day’s sessions with every speaker touching on the challenge of understanding and securing the vast amounts of data collected.

It’s interesting how the technologists — and most of the material was quite high level — have identified this as the main problem facing management with the Internet of Things.

A key take away from the forum is that the clear opportunity for entrepreneurs with the IoT lies in giving businesses the tools to understand the data.

One of the reasons for the event was to launch the Kaooma Project that aims to link local businesses to the Internet of Things. The local business angle is something that needs to be explored in more depth.

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Privacy by design

How can businesses protect customers’ privacy, Intel Security’s Michelle Dennedy discusses how to bake privacy into your organisation

“Know your data” is the key tip for businesses concerned about privacy says Michelle Dennedy, Chief Privacy Officer for Intel Security, formerly McAfee.

“It’s really important to go back to basics,” says Michelle. “We’re trying to do bolt-on privacy, just like we did with security years ago. I think it’s time to take a good look at the policy side, which id called Privacy By Design, thinking about it at early states and being consumer-centric.”

“We at McAfee call it ‘Privacy Engineering’; looking at the tools. methodologies and standards from the past, adding current legislative requirements and business rules then turning them into functional requirement.”

Michelle, who is also co-author of the Privacy Engineering Manifesto, was speaking to Decoding The New Economy as part of Privacy Awareness Week.

A key part of the interview is how Michelle sees privacy evolving in a global environment, “if you’d asked me in 2000 where we’d be today I’d have told you it would be like the 1500s when we were dealing with shipping lanes. We would have treaties, it would harmonised and we’d understand that global trade is a hundred percent based upon sharing.”

“We have instead decided to become a set of Balkanized nations.”

For individual businesses “know thy data,” is Michelle’s main advice. “Know what brings you risk, know what brings you opportunity.”

In Michelle’s view, businesses need to balance the opportunities against the risks and treat customers data with respect as the monetisation policies of many online platforms don’t recognise users’ costs in time and data sold.

As businesses find themselves being flooded with data, protecting it and respecting the privacy of customers, users and staff is going become an increasing important responsibility for managers.

It’s worthwhile understanding the privacy laws as they apply to you and making sure your systems and staff comply with them.

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