Posts Tagged ‘ibm’

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IBM Event Streams v10

Tuesday, June 30th, 2020

On Friday, we released the latest version of IBM Event Streams. This means I’ve been doing a variety of demo sessions to show people what we’ve made and how it works.

Here’s a recording of one of them:

In this session, I did a run-through of the new Event Streams Operator on Red Hat OpenShift, with a very quick intro to some of the features:

00m30s – installing the Operator
02m10s – creating custom Kafka clusters in the OpenShift console
05m10s – creating custom Kafka clusters in IBM Cloud Pak for Integration
08m00s – running the sample Kafka application
08m50s – creating topics
10m20s – creating credentials for client applications
11m45s – automating deployment of event-streaming infrastructure
12m30s – using schemas with the schema registry
13m10s – sending messages with HTTP POST requests
13m45s – viewing messages in the message browser
14m00s – command line administration
14m30s – running Kafka Connect
15m10s – geo-replication for disaster recovery
15m50s – monitoring Kafka clusters in the Event Streams UI
17m10s – monitoring with custom Grafana dashboards
17m30s – alerting using Prometheus

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This is IBM

Saturday, June 20th, 2020

The “This is IBM” videos are a nice intro to some of the things that we work on at Hursley.

They’re not too technical, they’re not “sales-y” for IBM products, they’re interesting stories, and each one is only a few minutes long.

I also like them as I’ve worked with all of these awesome people before, so it’s fun to see them being all serious on camera – even if it makes me a little jealous that they’re so much better at it than me!

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Introducing Machine Learning to kids

Tuesday, July 4th, 2017

Today, I was helping out with a Computing summer school for teachers in London.

As part of this, I gave a presentation about machine learning to a room full of school teachers – about what it is, why I think we should be introducing it in the classroom, and how I think we could do that.

My slides are on Slideshare, but they might not make a lot of sense by themselves, so I’ll jot down here roughly what I said.

slide 1

This morning I want to talk to you about machine learning. In particular, I want to talk with you about machine learning in the context of education and how it could be introduced in the classroom.

slide 2

I’m going to try and cover three main points.

Firstly, a quick level set on what I mean by machine learning.
Then I’d like to talk about why I believe it’s important that we do this.
Finally, I want to talk about the practicalities of how we could effectively introduce machine learning in an accessible way.

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I-Spy (using Watson services from Scratch projects)

Wednesday, February 22nd, 2017

It’s half-term week, so that means more time for geekiness with the kids.

This is something Grace made this week: a game of “I spy” built using Scratch, that uses the Watson Vision Recognition API to let the game dynamically pick objects that it recognises in photos, so you can then make guesses.

Apart from being a fun game to make in it’s own right, I wanted to share why I particularly think it’s useful to be able to use Watson API’s from Scratch projects.

Screen Shot 2017-02-22 at 13.43.53

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Normalised Discounted Cumulative Gain

Friday, July 15th, 2016

A ramble about accuracy compared with NDCG scores for evaluating effectiveness of information retrieval. It’s an introduction, so if you already know what they are, you can skip this.

A couple of weeks ago, we released a new tool for training the IBM Watson Retrieve and Rank service (a search service that uses machine learning to train it how to sort search results into the best order).

This afternoon, I deployed a collection of small updates to the tool and thought I’d make a few notes about what’s changed.

Most of them are a bunch of incremental updates and minor bug fixes.

For example, support for a wider range of Bluemix environments, support for larger document cluster sizes, displaying the amount of disk space left in a cluster, and so on.

One update in particular I thought was more interesting, and worth explaining.

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IBM Watson Retrieve and Rank tool

Thursday, June 30th, 2016

A few months ago, I mentioned that I was starting a new project. In this post, I’ll explain what we’ve been working on and what we’re trying to achieve with it.

The project was to build something new: a self-serve web-based tool to enable training the IBM Watson Retrieve and Rank service.

Earlier today, we released a first version of the tool. Now it’s finally out there, I can share what I’ve been working on!


My video walkthrough of the IBM Watson Retrieve and Rank tool

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How to use the IBM Watson Relationship Extraction service on Bluemix

Sunday, January 25th, 2015

Before Christmas, I wrote about how I used the Watson Relationship Extraction service on Bluemix to pick out the things mentioned in news stories, as part of a mobile app we built on a hackday. I’d still like to do something more with that app, but in the meantime I should at least share how I did the Relationship Extraction bit.

From the official doc for the service:

From unstructured text, Relationship Extraction can extract entities (such as people, locations, organizations, events), and the relationships between these entities (such as person employed-by organization, person resides-in location).

This is provided as a hosted service on IBM Bluemix where any developer can sign up and give it a try.

It’s available as a documented REST API, but as part of using it in the hackday, I needed to write a bit of code around that, just to prepare the request and parse the response. I think it’ll save me time to reuse this the next time I want to build something with the API, so I’m sharing it as a standalone package.

In this post, I’ll walk though how you can use it, with a small app that grabs the contents of a BBC News story and picks out the names of people mentioned in the story.

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Watson News Companion

Friday, December 12th, 2014

newscompanion screenshotWe recently ran a hackathon at work: people within IBM were invited to try building a mobile app aimed at consumers using Watson services. It was a fun chance to try out some new ideas, as well as to build something using our APIs – dogfooding is always a good thing.

I worked on a hack with David which we submitted on Wednesday. This is what we came up with, and how we built it.

The idea

A mobile app that will help users to digest the news by explaining references in stories and providing greater context.

Background

It’s difficult to find the time nowadays to properly read and understand what’s going on in the world. We rarely have the time to sit and read through a newspaper. Instead, we might quickly read news stories online from our smartphones and tablets. But that often makes it difficult to understand the broader context that a story is in. There might be references in the story to people, places, organisations or events that are unfamiliar.

Watson could help. It could be an assistant as you read the news, explaining unfamiliar references and the broader context.

Features

Our Watson News Companion demo is a mobile news reader app that:

  • anticipates questions and suggests areas where it can help improve understanding
  • provides answers to questions without needing the users to lose their place in the story
  • allow the user to dig deeper with their own follow-up questions


A video walkthrough of the hack

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