Category: Big Data

  • Uber and the evolving business model

    Uber and the evolving business model

    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.

    Similar posts:

    • No Related Posts
  • Connecting the vending machine

    Connecting the vending machine

    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.

    Similar posts:

    • No Related Posts
  • King Canute and Google: When the algorithm is wrong

    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 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.

    Similar posts:

    • No Related Posts
  • Big Data needs big databases

    Big Data needs big databases

    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.

    Similar posts:

    • No Related Posts
  • Exploring the internet of everything

    Exploring the internet of everything

    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.”

    Similar posts:

    • No Related Posts