Category: Big Data

Uber and the evolving business model

Where does the future lie for car hire service Uber?

Last year we looked at Uber and speculated the software that runs the business positions the company to be more than just a hire car booking service with applications in logistics and other sectors.

This week Uber’s CEO Travis Kalanick is getting plenty of coverage in the media with extensive profiles in both the Wall Street Journal and Wired.

Wired’s profile of Kalanick and Google raises Uber’s potential in logistics, funded by a $258 million fund raising led by Google Ventures last August.

“We feel like we’re still realizing what the potential is,” he says. “We don’t know yet where that stops.”

While Wired speculates about how Uber would perform against Amazon and Walmart, the car service is different in being more of a big data play than its established, possible competitors.

The three businesses would be very different creatures in the way they would address consumer markets, it may even be that Uber is more suited to being a B2B or wholesale operation rather than a retailer like Walmart.

Interestingly Kalanick looks at a target of 2,000 staff by the end of this year reports in his Wall Street Journal interview.

Mr. Kalanick: We have 550 employees. That’s approximate. We’re definitely going to be well over 1,000, maybe in the 1,500 to 2,000 range [by the end of 2014].

Having a staff target so high is interesting, it certainly indicates Kalanick sees plenty of growth ahead in the business.

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Connecting the vending machine

Vending machines are leading the way in adoption of the internet of machines

Wired Magazine’s Klint Finlay speculates why Coca-Cole would want sixteen million MAC address for their vending machines.

That Coca-Cola has connected all their vending machines shouldn’t come as a surprise, probably the only thing moderately unusual from this story is that the soft drink company organises its own hardware rather than getting the machine manufacturers to do it.

Vending machines being connected isn’t new, back in the days of dial up modems some of the more advanced one would use phone lines for basic diagnostics.

Today most vending machines have a cellular connection used for payments, stock monitoring, fault warnings and vandalism detection.

A visit to my local swimming pool today showed this, the Coca-Cola branded machine machine outside the change rooms offers credit payments and in the not too distant future will probably include some sort of NFC type option.

vending-machine-prince-alfred-pool-iot

On top of the the machine is a little aerial for the back to base communications. So the device can validate and bill cards, report back when stock levels are low and alert operators to anything untowards happening.

Vending-machine-aerial-iot-wireless-connection

A big opportunity for the soft drink companies and their distributors is analysing the information about buying patterns at various locations — it’s a classic Big Data play.

So it’s not surprising Coca-Cola has registered a block of MAC addresses as the company will probably need several more 16 million blocks in the not too distant future as more of their operations from bottling plants to vending machines require unique connections.

Vending machines are a small but obvious example of how the internet of things is evolving, in the near future most consumer devices will have similar options.

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King Canute and Google: When the algorithm is wrong

As society and business drown in big data we’re relying on algorithms and computer programs to helps us wade through the masses of information, could that be a weakness?

As society and business drown in big data we’re relying on algorithms and computer programs to helps us wade through a flood of information, could that reliance be a weakness?

British Archeology site Digital Digging discusses how Google displays Manchester United winger Ryan Giggs in the results search for Cnut, the ancient king of Denmark better known in the English speaking world as King Canute.

Apparently Giggs appears in the search results for Canute because of the footballer’s futile attempt to hold back a tide of information about his love life.

While Google’s algorithm seems to have made a mistake, it’s only doing what it’s been programmed to do. A lot of trusted websites have used the term ‘Canute’ or ‘Cnut’ in relation to Giggs so the machine presents his picture as being relevant to the search.

Confusing Ryan Giggs and King Canute is mildly amusing until we consider how critical algorithms like Google Search have become to decision making, there are no shortage of stories about people being wrongly billed, detained or even gaoled on the basis of bad information from computers.

The stakes in making mistakes based on bad information are being raised all the time as processes become more automated, a chilling technology roadmap for the US military in Vice Magazine describes the future of ‘autonomous warfare’.

By the end 2021, just eight years away, the Pentagon sees “autonomous missions worldwide” as being one of their objectives.

Autonomous missions means local commanders and drones being able to make decisions to kill people or attack communities based on the what their computers tell them. The consequences of a bad result from a computer algorithm suddenly become very stark indeed.

While most decisions based on algorithms may not have the life or death consequences that a computer ordered drone strike on a family picnic might have, mistakes could cost businesses money and individuals much inconvenience.

So it’s worthwhile considering how we build the cultural and technological checks and balances into how we use big data and the algorithms necessary to analyze it so that we minimise mistakes.

Contrary to legend, King Canute didn’t try to order the tide not to come in. He was trying to demonstrate to obsequious court that he was fallible and a subject to the laws of nature and god as any other man.

Like the court of King Canute, we should be aware of the foibles and weaknesses of the technologies that increasingly guides us. The computer isn’t always right.

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Big Data needs big databases

Investors are making big bets on the databases that underpin Big Data

While the tech industry’s startup hype this week has been focused on the impending Twitter Initial Public Offering, a much more fascinating company quietly completed a major capital raising.

MongoDB provides an open-source, document database program and last week raised another $150 million from investors that values the company at $1.2 billion dollars.

Databases lie at the heart of Big Data and businesses need better computer programs to manage the overwhelming amount of information that’s pouring in every day.

As every business is unique, larger corporations find they spend huge amounts of money on their databases. The enterprise that buys an Oracle, IBM or SAP system usually spends tens, if not hundreds, of millions of dollars in adapting the system to work for them, often with less than spectacular results.

While implementing MongoDB or any other open source program doesn’t eliminate implementation costs, it is often easier to setup and maintain as most of the information about the system is shared and freely available rather than locked inside the vendor’s proprietary knowledgebases.

Probably most important of all, the data structures themselves are open so customers don’t find themselves locked into a relationship with one vendor because all their information is in a format that can only be read by one system.

Open source is where Big Data, social media and cloud computing intersect – without the data itself being open and accessible, most cloud computing and social media services will almost certainly fail.

So MongoDB and the other open source products are the quiet, back of house technologies that keep the internet as we know it ticking along.

Bloomberg Businessweek reports there’s some very serious investors in MongoDB.

The deal attracted new investors such as EMC Corp. (EMC:US) and Salesforce.com Inc. (CRM:US), along with previous backers Red Hat Inc. (RHT:US), Intel Corp. (INTC:US), New Enterprise Associates and Sequoia Capital, according to MongoDB.

Sequoia Capital are one of the longest lasting Silicon Valley venture capital firms whose greatest success was being one of the first investors in Apple Computers and New Enterprise Ventures have a similar pedigree with companies like 3Com, Juniper Networks and Vonage. Investment by industry leaders like Intel, Red Hat, Salesforce and EMC in the company also shows MongoDB isn’t the standard Silicon Valley Greater Fool play.

When there’s a gold rush, it’s those selling the shovels who make the big money and the investors in MongoDB and similar services are hoping they’ve found some of the modern day shovels.

That may well turn out to be the case and while the smart folk make more money from the technologies that drive social media and cloud computing services, the rest of us are distracted by the latest shiny thing.

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Exploring the internet of everything

What does the internet of everything mean for businesses? Cisco’s Ken Boal explains.

As part of the Decoding the New Economy video series, I had the opportunity of interviewing Ken Boal, the head of Cisco Australia and New Zealand, about the Internet of Everything and how it will change business.

“The internet of everything is about things, it’s about people, process and it’s about data,” says Ken. “Compounding together to create new capabilities and drive opportunities for nations, enterprises, government and right down to consumers.”

“It’s a huge transition in the internet’s evolution.”

Reducing the road toll

A previous Cisco presentation looked at some of the ways the internet of everything can reduce road deaths, Ken sees this both private and public sector benefits of the connected economy flowing to consumers and the community.

“When you think about things like traffic congestion, health care and how education is delivered we know there’s huge opportunities for greater efficiency,” says Ken.

“Just on road safety, when we’ve got all the vehicles and trucks connected, when the traffic lights and traffic control systems are all connected,” suggests Ken, “then consumers are going be better informed about what is the most efficient route to work.”

“Cars will be communicating with each other to reduce fatalities and collisions in the future as well.”

Bringing together industrial, consumer  and public safety technologies creates a grid of connected devices, including cars, that improve public safety while making industries more efficient.

Of course these connected services come with risks to privacy, particularly when multiple points of data can triangulated despite each individual item being anonymous on their own.

What Ken finds is particularly important is the current value of these technologies with Cisco predicting $1.4 billion in productivity gains through the internet of everything this year, half of which are available for businesses.

A warning for Australia

For Australia, the concern is that business and the economy in general is falling behind, Cisco’s recent Internet of Everything Value Index rated Australia among the BRIC countries in adopting the new technologies.

“We’ve always counted Aussies as fairly innovative and leading edge,” says Ken. “Australia is ranked tenth out of the twelve largest economies in the adoption of internet of everything capablities.”

The countries leading – such as Japan, Germany and the United States – have had a solid record of investing in technology, “in Australia, we’ve had that in the past but we’ve lost our mojo.” Ken says, “IT has been viewed more as a problem – a cost to business – rather than a provider of productivity for the long term.”

How business can adapt

For businesses, the question is how can they take advantage of the internet of everything? “You don’t have to start from scratch,” says Ken. “There are a whole heap of use cases for every vertical.”

“Start to drive some innovation. Think about your business processes at the front end where you touch your customers, look at your supply chains and your back office arrangements driving workforce productivity and how fast can you deliver new innovations to the market.”

“Internet of everything themes can address a whole host of these different processes in different parts of your business.”

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Privacy’s still beating heart and the social media challenge

The changing habits of younger web surfers are challenging the assumptions underlying social media services.

“I’m not a very public person,” twenty-two year old Walter Woodman tells the New Yorker in How A Relationship Dies on Facebook.

One of the assumptions of the social media industry is that digital natives, those born after 1990, have little if any expectations of privacy. The New Yorker story challenges that idea.

Much of the New Yorker’s background is taken from the Pew Centre’s May 2013 report Teens, Social Media and Privacy which interviewed 802 US teens and their parents to identify young adults’ attitudes towards privacy.

As the Pew Centre’s Mary Madden wrote in a follow up post to that report, US teenagers aren’t about to about to abandon Facebook yet but they are concerned about privacy and the work involved in managing an online persona.

While some of our teen focus group participants reported positive feelings about their use of Facebook, many spoke negatively about an increasing adult presence, the high stakes of managing self-presentation on the site, the burden of negative social interactions (“drama”), or feeling overwhelmed by friends who share too much.

This suggests a far more mature, and complex, understanding of privacy by teenagers than many of the social media boosters assumed when declaring that privacy is irrelevant in the Facebook era.

Like their parents, teenagers and young adults know there are consequences for sharing too much online which challenges the social media platforms that have built their businesses around users spilling everything about themselves into the big data pot.

It turns out digital natives are just as conscious of the risks as their parents, although how they handle it may manifest in different ways, and the assumptions of many social media businesses aren’t quite as robust as they appeared not so long ago.

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A trillion points of data

As shopping centres, social media services and police forces collect greater amounts of information about us, we need to understand and manage the risks involved.

Last night, current Affairs program Four Corners had a look of the risks to families in the age of Big Data.

Earlier in the day I had the opportunity to speak on ABC 702 Sydney with the program’s reporter, Geoff Thompson, to discuss some of the issues and take listeners’ calls about Big Data and security.

What stood out from the audience’s comments is how most people don’t understand the extent of how data is being shared. The frightening thing is the Four Corners program itself understated the extent of how information is being distributed around the internet.

Looking beyond social media

Social media sites like Facebook are an obvious and legitimate area of concern with most people not understanding the ramifications of the terms and conditions of these services, however Big Data is a far more that what you share on LinkedIn or Instagram.

A major point of the program was how the New South Wales police force’s Automatic Number Plate Recognition (ANPR) equipment stores photographs of car license plates.

One of the applications of ANPR shown during the program was how an officer can be warned that a vehicle has owned by someone potentially dangerous or used in a suspicious situation, allowing them to be more cautious if they decide to pull a car over. Probably the greatest application is getting unregistered, uninsured or unlicensed drivers off the road.

Those sorts of usage is the positive side of Big Data and its role in reducing the road toll, the example also illustrates how data points are coming together with the internet of machines as traffic lights, road signs and cars themselves are communicating with each other and those police databases.

When that information is put together there’s a lot valuable intelligence and that’s why people are concerned that the NSW Police are storing millions of apparently useless images of car number plates with the time and location of the photographs.

These technologies aren’t just being used in shopping centres; instore mobile phone tracking combined with the same numberplate recognition the police use watching who is entering the carparks makes it possible to predict buying patterns and target offers to shoppers.

Couple that information with store loyalty cards and add in rapidly developing facial recognition, retailers have a very powerful way of monitoring how their customers behave.

“What instore analytics does is it takes the same kind of capablities that e-commerce sites have had for more than a decade and apply them to brick and mortar stores,” says Retail Next’s Tim Callen. Using the store’s CCTV system the company applies facial recognition software to track shoppers’ behaviour.

Securing the data feeds

The immediate concern is the security of this data, we’ve covered the hackable baby monitor and the Four Corners program examined Troy Hunt’s exposure of security flaws in Westfield Shopping Centres’ Find My Car App. Similar security concerns surround government databases like the NSW Police’s numberplate store.

As we’ve seen with the repeated data breaches of 2011, the management of big and small organisations like Sony or Stratfor don’t take security seriously. It’s hard to recall any senior public servant being held accountable for a security breach by their department.

A billion points of data

On their own, each of these data points means little but for a motivated marketer, tenacious police officer or determined stalker pulling those separate information sources together can pull together an accurate picture of a person’s private information, habits and beliefs.

Almost all the collectors of this data claim this information is anonymised or isn’t personal information, unfortunately there’s mismatch between the definition of private data and reality as number plates and mobile phone MAC addresses are not considered private, however they provide enough insight for an individual to be identified.

That aspect isn’t understood by most people, the final caller to the ABC Radio spot asked why she should be bothered worrying about privacy – it doesn’t matter.

As French politician Cardinal Richelau said in the Seventeenth Century, If you give me six lines written by the hand of the most honest of men, I will find something in them which will hang him

Today we each have six million points of data that can hang us, in a decade it could easily be a billion. We need to understand and manage the risks this presents while enjoying the benefits.

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