• Skip to main content
  • Skip to footer

Digi Skills Agency

  • Digital Skills Training
    • Digital Life Skills
    • Digital Employability Skills
    • Digital Work Skills
  • Digital Support Services
    • Digital Badges
    • E-Learning
    • Digitise Your Content
    • Inhouse & Fully Mobile Training Unit
    • Bespoke Training Development & Delivery
    • Guest Speakers & Career Advice
  • About
    • About Us
    • Work With Us
    • Testimonials
  • Blog
  • Contact
You are here: Home / Archives for watson

watson

How Wimbledon will use IBM’s Watson to serve up Data

July 4, 2016 by Julie McGrath

If you’re lucky enough to get a ticket to this year’s Wimbledon tennis championships, be prepared to be scanned by a supercomputer: IBM Watson.

Cameras linked to IBM’s Watson “machine-learning” platform may be monitoring your facial expressions and trying to work out what emotions you are displaying.

If Watson learns quickly enough over the fortnight, it will apparently be able to work out which player you are supporting just by reading your face.

The All England Lawn Tennis Club (AELTC) and its tech partner IBM are remaining tight-lipped on the details of the new technology – not least because it needs legal approval and raises privacy concerns.

But it is another example of how sport is becoming increasingly digital, for fans, players and venues alike.

Even if Watson isn’t tracking your every cheer and grimace at the championships – which begin on Monday 27 June – it will be digesting millions of conversations on social media platforms, such as Twitter, Facebook and Instagram, and using natural language processing to identify common topics – not necessarily just about tennis.

“During last year’s final we were analysing about 400 tweets a second,” says IBM’s Sam Seddon. “Expand that out into Facebook, Instagram and more long-form content, and that’s a lot of data.

“We can come up with insights much faster than humans can and inform the media team so they can decide what kind of content they should be offering.”

Wimbledon’s digital team has a global audience to serve – the website received 71 million visitors last year – and a window of just a few seconds to persuade people to read its social media content rather than that of other publishers.

So, armed with IBM’s social media analysis, the team will be able to entice people chatting about their own country’s performance in the current Euro football championships, say, towards Wimbledon content about a tennis player of the same nationality.

“Social media is growing exponentially and is increasingly becoming the primary voice with which we communicate with our fans,” says Alexandra Willis, Wimbledon’s head of communications, content and digital.

Data-driven sport

On top of this social analysis by IBM’s “cognitive command centre”, sensors and computers at the venue will be collecting about 3.2 million pieces of data from 19 tennis courts across the fortnight. The tech company claims a sub-second response time and 100% accuracy.

This performance-monitoring data – everything from live scores to fastest serves to the number of backhand winners – is made available to fans via smartphone apps, the website, and now Apple TV.

You can personalise the app and receive every piece of relevant content on your favourite players, using data going back eight years.

But, to the surprise of many tech commentators, Wimbledon still has no plans to introduce wi-fi in the grounds, so visitors will have to rely on an imperfect mobile network to access all this data and content.

It will be interesting to see if this limited connectivity – and potentially higher mobile data costs – mars the user experience, particularly for international visitors.

While the tennis players can also use sensors inside tennis racquets and wristbands to monitor their own performance, under current International Tennis Federation rules the data is not allowed to be used for coaching purposes during matches.

But is there a danger players will become too reliant on detailed data analysis of their opponents and end up cancelling each other out?

“The great players know how to understand and react to what’s happening on the court – no amount of data analytics can prepare for that. It’s only one element of a sportsman’s preparation,” says Mr Seddon.

Super Bowl economics

The increased use of smartphones and apps is giving sports venues reams of valuable data about the way fans move around, the things they buy, and the content they want to watch.

For example, during February’s Super Bowl final at the Levi’s Stadium in Santa Clara, California, data analytics helped improve the fan experience and drive up sales of drinks and merchandise.

Tech firm VenueNext developed an app on behalf of the NFL (National Football League) and nearly half the stadium’s 71,000 capacity used it on the day to make purchases and access game stats.

“By offering an in-seat beverages delivery utility orders increased 67% during the Super Bowl,” says John Paul, VenueNext’s chief executive. “Delivery times averaged less than 10 minutes.”

A crack team of 200 ushers delivered the drinks and fed back data to the app on how long the queues for the toilets were, for example, and where the quickest place to buy a hotdog was at any time during the event.

“We also implemented express pick-up of merchandise after ordering online via your mobile,” says Mr Paul. “We ran out of inventory because it was so popular – we could’ve sold five times more than we did.”

The average spend was $212 (£145) and the most popular item was a woman’s Denver Broncos jacket costing $225, he says.

Horses for Courses

Mr Paul admits that the many breaks in play during an American football match make in-seat ordering practicable, but it wouldn’t be suitable for other sports and venues.

Indeed, Wimbledon’s Alexandra Willis says that’s the last thing they want during an intense tennis match. Nevertheless, location-based app data does help them improve signage and navigation for visitors across the complex site, she says.

During a summer of sport that includes the current Euro football championships, Wimbledon, and the Olympics, global audiences are set to grow and digital will be the main way most people access the action.

Andrew Chant, head of networks at cloud services firm Exponential-e, notes: “Since the Uefa European Championship began on 10 June, an average of 30% extra traffic has been added to networks.

“Excited by real-time intensity, we predict that the reach of this year’s biggest sporting events – from the Euros to Wimbledon and the Olympics – will extend far beyond the stadium and into the workplace, as connected sports fans live every second of the game, wherever they are.”

– Matthew Wall

Filed Under: Latest Industry News Tagged With: data, facial, IBM, recognition, supercomputer, technology, watson, wimbledon

IBM Watson: How it can be Implemented into Business

June 17, 2016 by Julie McGrath

IBM Watson and how it can be Implemented into Business

IBM is promoting its Watson natural language processing analytics technology as it tries to move its core business beyond technologies that it pioneered, but which have become commoditised. Will it fly?

In 2011, IBM’s Watson computer beat two of the most successful human contestants on the long-running US game showJeopardy!, which requires participants to provide a question in response to general knowledge clues. In the event, Watson marked a breakthrough in artificial intelligence with its understanding of natural language and ability to make sense of vast amounts of written human knowledge.

Since then, IBM has been preparing Watson for work in business, research and medicine, aiming to help organisations find answers to the questions they often ask, faster and at lower cost.

Businesses can select from a set of 28 application programming interfaces (APIs) with which they can build Watson applications, or integrate Watson’s capabilities within systems they are developing. The APIs can help analyse the tone of text, build a list of contextually related terms, script conversations and classify natural language, and are all available from IBM’s cloud platform Bluemix.

Application of these technologies is spreading. In May 2016, IBM announced a new breakthrough macromolecule that could help prevent deadly virus infections, such as Zika or Ebola, with the aid of Watson technologies. Meanwhile,global law firm Baker & Hostetler has built a ‘robot lawyer’ on Watson.

But businesses cannot simply plug in and go. Any application must first learn the ontology – the language and definitions – particular to a domain in which it operates, a process IBM will help with. From there, developers train Watson in the knowledge that makes up a particular domain, with the help of human experts in the field.

Once experts are confident in their Watson application’s ability, they can let users loose to ask it questions in natural language.

Volume, a UK-based marketing, training and technology company, has been using Watson to develop applications to help its clients in technology sales.

Chris Sykes, chief executive officer, says: “We developed bespoke software applications for enterprise clients. The idea is to create ‘cognitive consultants’ who provide accurate answers to questions from the sales teams. They are able to query in natural language in real time, making a sales person ready from day one.

“During the normal sales process, a sales person can only go so far before they need to bring in a technical expert. But if that expert is not available, it extends the sales cycle.

“With our application, the sales team have the technical knowledge they need at their fingertips. They can query the system before a meeting or while they are with the customer. Information comes back to them in natural, accurate language.

“The net benefits are higher revenue per sales person, a shorter sales cycle and higher conversion rates.”

Vast volumes of material

Applications that help businesses make sense of vast volumes of written material could benefit from using Watson, says Surya Mukherjee, senior analyst with research firm Ovum.

For example, consultancy Deloitte is working with IBM’s Watson team to offer a service that absorbs greater volumes of legal information than would be humanly possible, helping businesses save on regulatory compliance, says Mukherjee.

“Some businesses might have 20,000 pages of regulations to sift through every month to keep on top of compliance,” he says. “To understand what is relevant to them, it takes an army of lawyers. The Watson application can parse the documents, and because it knows what to look for, flag up the relevant parts.”

Crucially, Watson learns from its errors, he adds. “There are false positives and false negatives, but with heuristic algorithms and human feedback, the software learns from its mistakes over time.”

Businesses that invest in these types of application could save time and money on employing experts to analyse large volumes of text or other unstructured data – but Watson does not come cheap, says Mukherjee.

“It is not commodity technology, so it will not be commodity priced,” he says. “There will be cheques to sign.”

While users will be able to select the APIs for their applications from the cloud on a pay-as-you-go basis, they will also need to spend money to ‘train’ Watson in a particular ontology and employ human expertise to check that the applications’ output makes sense.

“You have to ask: do you have the talent to use Watson for your purpose?” says Mukherjee. “Those people are expensive, not a commodity.”

IBM is heavily promoting Watson with the term “cognitive computing”, in an attempt to move its core business beyond the technologies that it pioneered, but which have become commoditised and less profitable.

“Cognitive computing, cloud and big data are the areas where IBM is investing billions, and cognitive might just be the priority,” says Mukherjee. “In technology markets such as databases, analytics and business applications, IBM has lots of competition.

“You could say that what IBM offers, Oracle and SAP also offer. But the last frontier is cognitive, and that is IBM’s story. Tactically, it is betting the farm on Watson.”

IBM has not released pricing for Watson per se, because it will depend on the particular combination of APIs and add-on services that customers consume. It has also not announced how much it is investing in its Watson venture or discussed the computing capacity it has created to support Watson worldwide.

However, it does make strong claims about Watson’s abilities in cognitive computing.

Phil Westcott, European ecosystem leader at IBM Watson Group, says: “Watson is based on systems that learn at scale, reason with purpose and interact with humans naturally. It understands the world in the way that humans do: through senses, learning and experience.”

Elsewhere in IBM’s promotion of Watson, the company claims: “Watson and its cognitive capabilities mirror some of the key cognitive elements of human expertise: systems that reason about problems like a human does.”

Watson lacks common sense

But John Carroll, professor of computational linguistics at the University of Sussex, says that despite Watson’s impressive performance in natural language processing and question answering in Jeopardy! and elsewhere, he is sceptical about the claim that it can reason or understand the world the way humans do.

“It is different and complementary,” he says. “Humans don’t have the ability to read millions of documents an hour, so it goes beyond human ability. But, at the same time, it does not have common sense. It does not have the ability to reason inductively or understand how humans act, move and behave in the real world.

“It can do something that a human can do in same way IBM’s Deep Blue can play chess and Google AlphGo can play Go, but it is still not the answer to replicating human intelligence. It can only do the types of things it was set up to do: to get information from text and from databases and integrate them. It cannot act like a human in the real world and does not have any notion of what the real world is.”

Watson bases its responses on the expert human texts it processes, but is not able to reason much beyond this evidence, says Carroll.

“Ontologies are inconsistent and incomplete, and once you make two or three inferences, it is quite possible to go badly wrong,” he says. “The computer won’t know what is an inconsistency and what an incorrect inference is because it does not have any common sense. It can be led astray very easily. It is safer to work from documents that people have written or individual facts that people have input.”

Carroll says artificial intelligence is being applied to a range of business problems (see below) and some problems may be applicable to more specialist technologies other than Watson.

IBM has impressed businesses, academics and analysts with Watson’s performance in answering natural language questions based on vast amounts text and other unstructured data. Experts agree it has many applications that could benefit businesses and other organisations, but whether its capacity for human-like reasoning stands up to IBM’s claims remains an open question.

– Lindsay Clark

Filed Under: Latest Industry News Tagged With: AI, artificial, IBM, intelligence, technology, watson

Footer

What we do

We provide the digital skills and confidence you need for life, employability and work.

Subscribe to our newsletter

    Services

    • Digital Skills Training
    • Digital Life Skills
    • Digital Employability Skills
    • Digital Work Skills
    • Digital Support Services
    • Digital Badges
    • e-Learning
    • Digitise Your Content
    • Inhouse & Fully Mobile Training Unit
    • Bespoke Training Development & Delivery
    • Guest Speakers & Career Advice

    Explore

    • Home
    • Work With Us
    • About Us
    • Testimonials
    • Blog
    • Privacy Policy
    • Contact Us

    Connect

    hello@digiskills.agency
    0330 223 6994

    © 2025 Digi Skills Agency Ltd. All rights reserved. Sitemap

    Website Design by Yellow Marshmallow.