Very well worth a few minutes of anyone’s ears.

The lovely Barney Artist interviewed at the AIM Independent Music Awards 2019 at Camden’s Roundhouse after being nominated in the One To Watch category on September 3rd 2019.

After listening to his new record, Sun Songs, it seems to me that Art Alexakis still has the same unmatched ability to write

The lovely JC Stewart interviewed at MTV after being nominated for the MTV PUSH: Ones to Watch Shortlist for 2020 on November 22nd 2019.

Luckily for Eurovision fans, all 41 songs will be available on EUROVISION 2020 – The Album - which is released on May 15th On UMC Records.

In this introductory series on Bluemix and Bluemix Continuous Delivery, you'll discover how using these products can prevent you from wasting time. You learn how to quickly and easily deploy a simple application, deploy an app that makes use of a Bluemix service, and write code that uses a new Bluemix service. You'll even try out the Web IDE (no setup required) and learn how to use agile planning tools. As a bonus to all of the knowledge you'll get by working through the examples in this series, you also get an application that checks the prices of items in online stores for you, so you don’t have to surf the web to see if your favorite items are on sale!

In this tutorial series, learn how to analyze how social media affects the NBA using Python, pandas, Jupyter Notebooks, and a touch of R. Part 2 explores individual athletes in the NBA: endorsement data, true on-the-court performance, and social power with Twitter and Wikipedia.

Learn how to get data from your Informix database and dump it in Spark so you can leverage it against other data sources and compile advanced analytics all that in Java. The targeted audience is Informix and non-Informix users seeking to bring RDBMS data into Spark.

In this tutorial, the second in a series of three, you learn how to combine Clojure OpenWhisk actions into sequences that actually receive a request from the browser, process it, and return a usable result.

Businesses can make IT operations smarter by reacting to weather events and automating operational decisions that factor in weather data. This article describes the steps to combine services to automate decisions that consider weather data by running business rules. The business decisions could result in actions such as sending notifications, adjusting prices, generating promotions, triggering IoT devices, or initiating business processes.

The third part of this tutorial series goes deeper into joins and more complex queries. Learn how to get data from your Informix database and dump it in Spark so you can leverage it against other data sources and compile advanced analytics all that in Java. The targeted audience is Informix and non-Informix users seeking to bring RDBMS data into Spark.

In this introductory series on Bluemix and Bluemix Continuous Delivery, you'll discover how using these products can prevent you from wasting time. Using the simple app created in Part 1, learn how to deploy an app that makes use of a Bluemix service in Part 2. Continue to Part 3, where you learn how to write code that uses the new Bluemix service. In Part 4, learn how to use the Delivery Pipeline service to deploy your app to Bluemix automatically whenever you or someone else on your team pushes code to your project's repository.

In Part 4 of this tutorial series, you'll learn how to link external and public data to your existing data to gain insights for your sales team. In this scenario for retail sales, you'll learn how to forecast the hot sales areas for new wins.

In this article, I write about great resources that you should keep in your arsenal. I tried to get something for everyone, so whether you're a developer, an administrator, or even just someone who's interested in how security vulnerabilities occur and what can be done about it, this list covers all of this and more.

In the previous two tutorials, you learned how to write a basic OpenWhisk Clojure application. In Part 3, I'll show you how to improve any such application. First, you'll learn how to support arguments that include double quotes. Then you'll learn how to use a permanent database (Cloudant) instead of a variable to store the information.

In this two-part series, I explain how to find project management insights from a GitHub organization and how to create and publish tools to the Python Package Index.

Your article abstract goes here. Put the main points and key phrases at the beginning of the abstract, because it will be truncated in search results. Make your abstract enticing yet succinct. Aim for three to five sentences that express why the reader would care about the content (motive) and what he or she can gain from reading the content (benefits).

Your article abstract goes here. Put the main points and key phrases at the beginning of the abstract, because it will be truncated in search results. Make your abstract enticing yet succinct. Aim for three to five sentences that express why the reader would care about the content (motive) and what he or she can gain from reading the content (benefits).

Your article abstract goes here. Put the main points and key phrases at the beginning of the abstract, because it will be truncated in search results. Make your abstract enticing yet succinct. Aim for three to five sentences that express why the reader would care about the content (motive) and what he or she can gain from reading the content (benefits).

The second part of this four-part series shows you how to translate the abstract information model for data in your web pages into one of the three formats supported by Schema.org: RDFa, Microdata, and JSON-LD

Schema.org is an initiative originally created by search engine companies and experts to support web publishers by describing the things that web pages are actually about. This series, in which I explain the Schema.org core information model, helps you expand your web developer skills and get a head start on advances in search engine platforms and personal assistants like Siri, Google Assistant, and Alexa.

In this second installment of a two-part tutorial on how to combine Weather Data and Business Rules IBM Cloud services to automate operational business decisions based on weather conditions, you will take a closer look at the decision operation created in Part 1, learn how to create simple business rules that use weather data and a rule flow that includes these rules, and deploy the decision operation to IBM Cloud. A Node-RED flow will orchestrate a call to the weather data, the Business Rules service, and take action based on the outcome executing business rules.

Discover common problems associated with cleansing data for validation and processing, with solutions for dealing with them. You'll also find a custom tool to make the process of cleansing data and merging data sets for analysis.

Part 5 of this tutorial series teaches you how to add machine learning to your data to help you extrapolate future orders.

This article compiles all of the previous top tutorials lists.

The most popular articles for 2017 on the Internet of Things are highlighted in this article for your convenience.

Learn about VQ and ART algorithms. VQ quickly and efficiently clusters a data set; ART adapts the number of clusters based on the data set.

IBM Connections Customizer lets developers modify the look and behavior of Connections easily and comprehensively. The Introduction to Connections Customizer tutorial series is a quick way learn about Customizer. The fifth video in the series shows how to use Customizer design properties to make sophisticated modifications to the Customizer user interface.

IBM Connections Customizer lets developers modify the look and behavior of Connections easily and comprehensively. The Introduction to Connections Customizer tutorial series is a quick way learn about Customizer. The third video in the series shows you how to get set up on IBM Connections Cloud, how to enable Customizer, and how to share your customizations with IBM.

IBM Connections Customizer lets developers modify the look and behavior of Connections easily and comprehensively. The Introduction to Connections Customizer tutorial series is a quick way learn about Customizer. The fourth video in the series shows how three sample customizations were created, to showcase the range of customization possibilities the new feature makes available.

IBM Connections Customizer lets developers modify the look and behavior of Connections easily and comprehensively. The Introduction to Connections Customizer tutorial series is a quick way learn about Customizer. The first video in the series introduces the concepts behind Customizer, how it works, and what it can do for you.

IBM Connections Customizer lets developers modify the look and behavior of Connections easily and comprehensively. The Introduction to Connections Customizer tutorial series is a quick way learn about Customizer. The second video in the series shows you how to use the Firefox Grease Monkey scripting extension and takes you through creating a Hello World customization.

Docker and Kubernetes are the building blocks of the next generation of DevOps. In this tutorial, you'll see how to build Docker images, run them locally, and then push those images to your IBM Cloud account so you can deploy them to a Kubernetes cluster running in the IBM Cloud.

There is a lot of unstructured text content that is generated in any domain – software development lifecycle, finance, healthcare, social media, etc. Valuable insights can be generated by analyzing unstructured text content and correlating the information across various document sources. This pattern uses Watson Natural Language Understanding, Python Natural Language Toolkit, OrientDB, Node-RED, and IBM Data Science Experience to build a complete analytics solution that generates insights for informed decision-making.

Data is meaningless if you can't process it to gain insights. The field of data science gives you the tools and methods you need to process data sets effectively and so get the most from the data you collect. In this tutorial, you will Get the basics of machine learning, including data engineering, model learning, and operations.

Trace the path from raw data to stored knowledge. Identify various data sources and the differences between structured and unstructured data. Learn what makes data valuable before applying the DIKW model to data science.

Individuals and organizations store all kinds of data. What do we do with it all? Can we call it up as we need it? Can all that data be analyzed quickly and efficiently? Or, does it tie up storage resources and languish for years because the cost of going through it and discarding what's obsolete is too high? Discover the utility and wisdom of storing dark data.

See how to develop and deploy advanced Cloud Foundry applications in the IBM Cloud. Doug Tidwell shows you how to create a globally available app that uses a cloud-hosted NoSQL database.

See how to develop and deploy advanced Cloud Foundry applications in the IBM Cloud. Doug Tidwell shows you how to create a globally available app that uses a cloud-hosted NoSQL database.

See how to use IBM Cloud Functions to make the most of serverless computing. Doug Tidwell shows you how to generate code that manages a cloud-hosted NoSQL database.

In this article, you learn how to use the IBM Cloud to write a Node.js application for an organization’s front desk, which needs to log visitors in and out. Along the way you will learn how to use Node.js, the Express HTTP server library, and a Cloudant database. You will learn how to do this in the highly available IBM Cloud. This is a basic introduction to Node.js programming on the IBM Cloud platform.

In the first article in this series, you learned how to build a Node.js application on the IBM Cloud. However, that application was not very responsive or visually appealing. In this article you learn how to use the Bootstrap theme for your application to look better, and how to use the AngularJS library to make it more responsive.