Technology Tales

From boardroom to code: More options for AI and Data Science education

27^th July 2025

The artificial intelligence revolution has created an unprecedented demand for education that spans from executive strategy to technical implementation. Modern professionals face the challenge of navigating a landscape where understanding AI's business implications proves as crucial as mastering its technical foundations. This comprehensive examination explores five distinguished programmes that collectively address this spectrum, offering pathways for business professionals, aspiring data scientists and technical specialists seeking advanced expertise.

- Strategic Business Implementation Through Practical AI Tools

LinkedIn Learning's Applying Generative AI as a Business Professional programme represents the entry point for professionals seeking immediate workplace impact. This focused five-hour curriculum across six courses addresses the practical reality that most business professionals need functional AI literacy rather than technical mastery. The programme emphasises hands-on application of contemporary tools including ChatGPT, Claude and Microsoft Copilot, recognising that these platforms have become integral to modern professional workflows.

The curriculum's strength lies in its emphasis on prompt engineering techniques that yield immediate productivity gains. Participants learn to craft effective queries that consistently produce useful outputs, a skill that has rapidly evolved from novelty to necessity across industries. The programme extends beyond basic tool usage to include strategies for creating custom GPTs without programming knowledge, enabling professionals to develop solutions that address specific organisational challenges.

Communication enhancement represents another critical component, as the programme teaches participants to leverage AI for improving written correspondence, presentations and strategic communications. This practical focus acknowledges that AI's greatest business value often emerges through augmenting existing capabilities rather than replacing human expertise. The inclusion of critical thinking frameworks for AI-assisted decision-making ensures that participants develop sophisticated approaches to integrating artificial intelligence into complex business processes.

- Academic Rigour Meets Strategic AI Governance

The University of Pennsylvania's AI for Business Specialisation on Coursera elevates business AI education to an academic level whilst maintaining practical relevance. This four-course programme, completed over approximately four weeks, addresses the strategic implementation challenges that organisations face when deploying AI technologies at scale. The curriculum's foundation in Big Data fundamentals provides essential context for understanding the data requirements that underpin successful AI initiatives.

The programme's exploration of machine learning applications in marketing and finance demonstrates how AI transforms traditional business functions. Participants examine customer journey optimisation techniques, fraud prevention methodologies and personalisation technologies that have become competitive necessities rather than optional enhancements. These applications receive thorough treatment that balances technical understanding with strategic implications, enabling participants to make informed decisions about AI investments and implementations.

Particularly valuable is the programme's emphasis on AI-driven people management practices, addressing how artificial intelligence reshapes human resources, talent development and organisational dynamics. This focus acknowledges that successful AI implementation requires more than technological competence; it demands sophisticated understanding of how these tools affect workplace relationships and employee development.

The specialisation's coverage of strategic AI governance frameworks proves especially relevant as organisations grapple with ethical deployment challenges. Participants develop comprehensive approaches to responsible AI implementation that address regulatory compliance, bias mitigation and stakeholder concerns. This academic treatment of AI ethics provides the foundational knowledge necessary for creating sustainable AI programmes that serve both business objectives and societal responsibilities.

- Industry-Standard Professional Development

IBM's Data Science Professional Certificate represents a bridge between business understanding and technical proficiency, offering a comprehensive twelve-course programme designed for career transition. This four-month pathway requires no prior experience whilst building industry-ready capabilities that align with contemporary data science roles. The programme's strength lies in its integration of technical skill development with practical application, ensuring graduates possess both theoretical knowledge and hands-on competency.

The curriculum's progression from Python programming fundamentals through advanced machine learning techniques mirrors the learning journey that working data scientists experience. Participants gain proficiency with industry-standard tools including Jupyter notebooks, GitHub and Watson Studio, ensuring familiarity with the collaborative development environments that characterise modern data science practice. This tool proficiency proves essential for workplace integration, as contemporary data science roles require seamless collaboration across technical teams.

The programme's inclusion of generative AI applications reflects IBM's recognition that artificial intelligence has become integral to data science practice rather than a separate discipline. Participants learn to leverage AI tools for data analysis, visualisation and insight generation, developing capabilities that enhance productivity whilst maintaining analytical rigour. This integration prepares trainees for data science roles that increasingly incorporate AI-assisted workflows.

Real-world project development represents a crucial component, as participants build comprehensive portfolios that demonstrate practical proficiency to potential employers. These projects address authentic business challenges using genuine datasets, ensuring that participants can articulate their capabilities through concrete examples.

- Advanced Technical Mastery Through Academic Excellence

Andrew Ng's Machine Learning Specialisation on Coursera establishes the technical foundation for advanced AI practice. This three-course programme, completed over approximately two months, provides comprehensive coverage of core machine learning concepts whilst emphasising practical implementation skills. Andrew Ng's reputation as an AI pioneer lends exceptional credibility to this curriculum, ensuring that participants receive instruction that reflects both academic rigour and industry best practices.

The specialisation's treatment of supervised learning encompasses linear and logistic regression, neural networks and decision trees, providing thorough grounding in the algorithms that underpin contemporary machine learning applications. Participants develop practical proficiency with Python, NumPy and scikit-learn, gaining hands-on experience with the tools that professional machine learning practitioners use daily. This implementation focus ensures that theoretical understanding translates into practical capability.

Unsupervised learning includes clustering algorithms, anomaly detection techniques and certain approaches in recommender systems, all of which contribute to powering modern digital experiences. The programme's exploration of reinforcement learning provides exposure to the techniques driving advances in autonomous systems and game-playing AI. This breadth ensures that participants understand the full spectrum of machine learning approaches, rather than developing narrow expertise in specific techniques.

- Cutting-Edge Deep Learning Applications

Again available through Coursera, Andrew Ng's Deep Learning Specialisation extends technical education into the neural network architectures that drives contemporary AI. This five-course programme, spanning approximately three months, addresses the advanced techniques that enable computer vision, natural language processing and complex pattern recognition applications. The intermediate-level curriculum assumes foundational machine learning knowledge whilst building expertise in cutting-edge methodologies.

Convolutional neural network coverage provides comprehensive understanding of computer vision applications, from image classification through object detection and facial recognition. Participants develop practical skills with CNN architectures that power visual AI applications across industries. The programme's treatment of recurrent neural networks and LSTMs addresses sequence processing challenges in speech recognition, machine translation and time series analysis.

The specialisation's exploration of transformer architectures proves particularly relevant given their central role in large language models and natural language processing breakthroughs. Participants gain understanding of attention mechanisms, transfer learning techniques and the architectural innovations that enable modern AI capabilities. This coverage ensures they understand the technical foundations underlying contemporary AI advances.

Real-world application development represents a crucial component, as participants work on speech recognition systems, machine translation applications, image recognition tools and chatbot implementations. These projects utilise TensorFlow, a dominant framework for deep learning development, ensuring that graduates possess practical experience with production-ready tools.

- Strategic Integration and Future Pathways

These five programmes collectively address the comprehensive skill requirements of the modern AI landscape, from strategic business implementation through advanced technical development. The progression from practical tool usage through academic business strategy to technical mastery reflects the reality that successful AI adoption requires capabilities across multiple domains. Organisations benefit most when business leaders understand AI's strategic implications, whilst technical teams possess sophisticated implementation capabilities.

The integration of business strategy with technical education acknowledges that artificial intelligence's transformative potential emerges through thoughtful application rather than technological sophistication alone. These programmes prepare professionals to contribute meaningfully to AI initiatives regardless of their specific role or technical background, ensuring that organisations can build comprehensive AI capabilities that serve both immediate needs and long-term strategic objectives.

Advance your Data Science, AI and Computer Science skills using these online learning opportunities

25^th July 2025

The landscape of online education has transformed dramatically over the past decade, creating unprecedented access to high-quality learning resources across multiple disciplines. This comprehensive examination explores the diverse array of courses available for aspiring data scientists, analysts, and computer science professionals, spanning from foundational programming concepts to cutting-edge artificial intelligence applications.

- Data Analysis with R Programming

R programming has established itself as a cornerstone language for statistical analysis and data visualisation, making it an essential skill for modern data professionals. DataCamp's Data Analyst with R programme represents a comprehensive 77-hour journey through the fundamentals of data analysis, encompassing 21 distinct courses that progressively build expertise. Students begin with core programming concepts including data structures, conditional statements, and loops before advancing to sophisticated data manipulation techniques using tools such as dplyr and ggplot2. The curriculum extends beyond basic programming to include R Markdown for reproducible research, data manipulation with data.table, and essential database skills through SQL integration.

For those seeking more advanced statistical expertise, DataCamp's Statistician with R career track provides an extensive 108-hour programme spanning 27 courses. This comprehensive pathway develops essential skills for professional statistician roles, progressing from fundamental concepts of data collection and analysis to advanced statistical methodology. Students explore random variables, distributions, and conditioning through practical examples before advancing to linear and logistic regression techniques. The curriculum encompasses sophisticated topics including binomial and Poisson regression models, sampling methodologies, hypothesis testing, experimental design, and A/B testing frameworks. Advanced modules cover missing data handling, survey design principles, survival analysis, Bayesian data analysis, and factor analysis, making this track particularly suitable for those with existing R programming knowledge who seek to specialise in statistical practice.

The Google Data Analytics Professional Certificate programme, developed by Google and hosted on Coursera with US and UK versions, offers a structured six-month pathway for those seeking industry-recognised credentials. Students progress through eight carefully designed courses, beginning with foundational concepts in "Foundations: Data, Data, Everywhere" and culminating in a practical capstone project. The curriculum emphasises real-world applications, teaching students to formulate data-driven questions, prepare datasets for analysis, and communicate findings effectively to stakeholders.

Udacity's Data Analysis with R course presents a unique proposition as a completely free resource spanning two months of study. This programme focuses intensively on exploratory data analysis techniques, providing students with hands-on experience using RStudio and essential R packages. The course structure emphasises practical application through projects, including an in-depth exploration of diamond pricing data that demonstrates predictive modelling techniques.

-- Advanced Statistical Learning and Specialised Applications

Duke University's Statistics with R Specialisation elevates statistical understanding through a comprehensive seven-month programme that has earned a 4.6-star rating from participants. This five-course sequence delves deep into statistical theory and application, beginning with probability and data fundamentals before progressing through inferential statistics, linear regression, and Bayesian analysis. The programme distinguishes itself by emphasising both theoretical understanding and practical implementation, making it particularly valuable for those seeking to master statistical concepts rather than merely apply them.

The R Programming: Advanced Analytics course on Udemy, led by instructor Kirill, provides focused training in advanced R techniques within a compact six-hour format. This course addresses specific challenges that working analysts face, including data preparation workflows, handling missing data through median imputation, and working with complex date-time formats. The curriculum emphasises efficiency techniques such as using apply functions instead of traditional loops, making it particularly valuable for professionals seeking to optimise their analytical workflows.

Complementing this practical approach, the Applied Statistical Modelling for Data Analysis in R course on Udemy offers a more comprehensive 9.5-hour exploration of statistical methodology. The curriculum covers linear modelling implementation, advanced regression analysis techniques, and multivariate analysis methods. With its emphasis on statistical theory and application, this course serves those who already possess foundational R and RStudio knowledge but seek to deepen their understanding of statistical modelling approaches.

Imperial College London's Statistical Analysis with R for Public Health Specialisation brings academic rigour to practical health applications through a four-month programme. This specialisation addresses real-world public health challenges, using datasets that examine fruit and vegetable consumption patterns, diabetes risk factors, and cardiac outcomes. Students develop expertise in linear and logistic regression while gaining exposure to survival analysis techniques, making this programme particularly relevant for those interested in healthcare analytics.

-- Visualisation and Data Communication

Johns Hopkins University's Data Visualisation & Dashboarding with R Specialisation represents the pinnacle of visual analytics education, achieving an exceptional 4.9-star rating across its four-month curriculum. This five-course programme begins with fundamental visualisation principles before progressing through advanced ggplot2 techniques and interactive dashboard development. Students learn to create compelling visual narratives using Shiny applications and flexdashboard frameworks, skills that are increasingly essential in today's data-driven business environment.

The programme's emphasis on publication-ready visualisations and interactive dashboards addresses the growing demand for data professionals who can not only analyse data but also communicate insights effectively to diverse audiences. The curriculum balances technical skill development with design principles, ensuring graduates can create both statistically accurate and visually compelling presentations.

- Professional Certification Pathways

DataCamp's certification programmes offer accelerated pathways to professional recognition, with each certification designed to be completed within 30 days. The Data Analyst Certification combines timed examinations with practical assessments to evaluate real-world competency. Candidates must demonstrate proficiency in data extraction, quality assessment, cleaning procedures, and metric calculation, reflecting the core responsibilities of working data analysts.

The Data Scientist Certification expands these requirements to include machine learning and artificial intelligence applications, requiring candidates to collect and interpret large datasets whilst effectively communicating results to business stakeholders. Similarly, the Data Engineer Certification focuses on data infrastructure and preprocessing capabilities, essential skills as organisations increasingly rely on automated data pipelines and real-time analytics.

The SQL Associate Certification addresses the universal need for database querying skills across all data roles. This certification validates both theoretical knowledge through timed examinations and practical application through hands-on database challenges, ensuring graduates can confidently extract and manipulate data from various database systems.

- Emerging Technologies and Artificial Intelligence

The rapid advancement of artificial intelligence has created new educational opportunities that bridge traditional data science with cutting-edge generative technologies. DataCamp's Understanding Artificial Intelligence course provides a foundation for those new to AI concepts, requiring no programming background whilst covering machine learning, deep learning, and generative model fundamentals. This accessibility makes it valuable for business professionals seeking to understand AI's implications without becoming technical practitioners.

The Generative AI Concepts course builds upon this foundation to explore the specific technologies driving current AI innovation. Students examine how large language models function, consider ethical implications of AI deployment, and learn to maximise the effectiveness of AI tools in professional contexts. This programme addresses the growing need for AI literacy across various industries and roles.

DataCamp's Large Language Model Concepts course provides intermediate-level exploration of the technologies underlying systems like ChatGPT. The curriculum covers natural language processing fundamentals, fine-tuning techniques, and various learning approaches including zero-shot and few-shot learning. This technical depth makes it particularly valuable for professionals seeking to implement or customise language models within their organisations.

The ChatGPT Prompt Engineering for Developers course addresses the developing field of prompt engineering, a skill that has gained significant commercial value. Students learn to craft effective prompts that consistently produce desired outputs from language models, a capability that combines technical understanding with creative problem-solving. This expertise has become increasingly valuable as organisations integrate AI tools into their workflows.

Working with OpenAI API provides practical implementation skills for those seeking to build AI-powered applications. The course covers text generation, sentiment analysis, and chatbot development, giving students hands-on experience with the tools that are reshaping how businesses interact with customers and process information.

- Computer Science Foundations

Stanford University's Computer Science 101 offers an accessible introduction to computing concepts without requiring prior programming experience. This course addresses fundamental questions about computational capabilities and limitations whilst exploring hardware architecture, software development, and internet infrastructure. The curriculum includes essential topics such as computer security, making it valuable for anyone seeking to understand the digital systems that underpin modern society.

The University of Leeds' Introduction to Logic for Computer Science provides focused training in logical reasoning, a skill that underlies algorithm design and problem-solving approaches. This compact course covers propositional logic and logical modelling techniques that form the foundation for more advanced computer science concepts.

Harvard's CS50 course, taught by Professor David Malan, has gained worldwide recognition for its engaging approach to computer science education. The programme combines theoretical concepts with practical projects, teaching algorithmic thinking alongside multiple programming languages including Python, SQL, HTML, CSS, and JavaScript. This breadth of coverage makes it particularly valuable for those seeking a comprehensive introduction to software development.

MIT's Introduction to Computer Science and Programming Using Python focuses specifically on computational thinking and Python programming. The curriculum emphasises problem-solving methodologies, testing and debugging strategies, and algorithmic complexity analysis. This foundation proves essential for those planning to specialise in data science or software development.

MIT's The Missing Semester course addresses practical tools that traditional computer science curricula often overlook. Students learn command-line environments, version control with Git, debugging techniques, and security practices. These skills prove essential for professional software development but are rarely taught systematically in traditional academic settings.

- Accessible Learning Resources and Community Support

The democratisation of education extends beyond formal courses to include diverse learning resources that support different learning styles and schedules. YouTube channels such as Programming with Mosh, freeCodeCamp, Alex the Analyst, Tina Huang, and Ken Lee provide free, high-quality content that complements formal education programmes. These resources offer everything from comprehensive programming tutorials to career guidance and project-based learning opportunities.

The 365 Data Science platform contributes to this ecosystem through flashcard decks that reinforce learning of essential terminology and concepts across Excel, SQL, Python, and emerging technologies like ChatGPT. Their statistics calculators provide interactive tools that help students understand the mechanics behind statistical calculations, bridging the gap between theoretical knowledge and practical application.

Udemy's marketplace model supports this diversity by hosting over 100,000 courses, including many free options that allow instructors to share expertise with global audiences. The platform's filtering capabilities enable learners to identify resources that match their specific needs and learning preferences.

- Industry Integration and Career Development

Major technology companies have recognised the value of contributing to global education initiatives, with Google, Microsoft and Amazon offering professional-grade courses at no cost. Google's Data Analytics Professional Certificate exemplifies this trend, providing industry-recognised credentials that directly align with employment requirements at leading technology firms.

These industry partnerships ensure that course content remains current with rapidly evolving technological landscapes, whilst providing students with credentials that carry weight in hiring decisions. The integration of real-world projects and case studies helps bridge the gap between academic learning and professional application.

The comprehensive nature of these educational opportunities reflects the complex requirements of modern data and technology roles. Successful professionals must combine technical proficiency with communication skills, statistical understanding with programming capability, and theoretical knowledge with practical application. The diversity of available courses enables learners to develop these multifaceted skill sets according to their career goals and learning preferences.

As technology continues to reshape industries and create new professional opportunities, access to high-quality education becomes increasingly critical. These courses represent more than mere skill development; they provide pathways for career transformation and professional advancement that transcend traditional educational barriers. Whether pursuing data analysis, software development, or artificial intelligence applications, learners can now access world-class education that was previously available only through expensive university programmes or exclusive corporate training initiatives.

The future of professional development lies in this combination of accessibility, quality, and relevance that characterises the modern online education landscape. These resources enable individuals to build expertise that matches industry demands, also maintaining the flexibility to learn at their own pace and according to their specific circumstances and goals.

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12^th August 2024

Making the LanguageTool embedded HTTP Server work on Windows 11

11^th August 2024

My choice of Markdown editor is VS Code or VSCodium, the latter being a fork of the former with Microsoft telemetry removed. In either case, I use the LanguageTool Linter extension for the required grammar and spelling checks. Pointing that to the remote web service offered by LanguageTool could get punitive, even if I am a subscriber. Thus, I use a locally installed equivalent instead.

In my usual Linux system, that is how I work. However, I have replicated the set-up on a Windows laptop for added flexibility. The needed the JRE, so that was downloaded from the Oracle website and then installed. The next step is to download the LanguageTool embedded HTTP Server zip file and decompress it to a chosen location. To run the server, the command like the following is issued from the Windows Terminal (the single line may break over two here):

java -cp "[Chosen Location]\LanguageTool-stable\LanguageTool-6.4\languagetool-server.jar" org.languagetool.server.HTTPServer --port 8081 --allow-origin

That is enough to get things going because it fulfils the default settings of the LanguageTool Linter extension in VS Code or VSCodium. The fastText application is unavailable for Windows, so I did without it. So far, things are operating acceptably, even if there is a way to address more memory should that be required.

Quickly changing between virtual desktops in Windows 10

12^th October 2018

One of the benefits of running Linux is the availability of virtual desktops, and installing VirtuaWin was the only way to get the same functionality on Windows before the launch of Windows 10. For reasons known to Microsoft, they decided against the same sort of implementation as seen in Linux or UNIX. Instead, they put the virtual desktop functionality a click away and rather hides it from most users unless they know what clicking on the Task View button allows. The approach also made switching between desktops slower with a mouse. However, there are keyboard shortcuts that address this once multiple virtual desktops exist.

Using WIN + CTRL + LEFT or WIN + CTRL + RIGHT does this easily once you have mastered the action. Depending on your keyboard setup, WIN is the Windows, Super or Command key while CTRL is the Control key. Then, LEFT is the left arrow key and RIGHT is the right arrow key. For machines with smaller screens where multitasking causes clutter, virtual desktops are a godsend for organising how you work, and having quick key combinations for switching between them adds to their utility.

Pondering travel device consolidation using an Apple iPad Pro 12.9"

18^th September 2016

It was a change of job in 2010 that got me interested in using devices with internet connectivity on the go. Until then, the attraction of smartphones had not been strong, but I got myself a Blackberry on a pay as you go contract, but the entry device was painfully slow, and the connectivity was 2G. It was a very sluggish start.

It was supplemented by an Asus Eee PC that I connected to the internet using broadband dongles and a Wi-Fi hub. This cumbersome arrangement did not work well on short journeys, and the variability of mobile network reception even meant that longer journeys were not all that successful either. Usage in hotels and guest houses though went better and that has meant that the miniature laptop came with me on many a journey.

In time, I moved away from broadband dongles to using smartphones as Wi-Fi hubs and that largely is how I work with laptops and tablets away from home unless there is hotel Wi-Fi available. Even trips overseas have seen me operate in much the same manner.

One feature is that we seem to carry quite a number of different gadgets with us at a time, which can cause inconvenience when going through airport security since they want to screen each device separately. When you are carrying a laptop, a tablet, a phone and a camera, it does take time to organise yourself, and you can meet impatient staff, as I found recently when returning from Oslo. Since checking in whatever you can as hold luggage helps to get around at least some of the nuisance, it also might be time for the use of better machinery to cut down on having to screen everything separately.

When you come away after an embarrassing episode, as I once did, the attractions of consolidating devices start to become plain. In fact, most probably could get with having just their phone. It is when you take activities like photography more seriously than the gadget count increases. After all, the main reason a laptop comes on trips beyond Britain and Ireland at all is to back up photos from my camera in case an SD card fails.

Parking that thought for a while, let's go back to March this year, when temptation overcame what should have been a period of personal restraint. The result was that a 32 GB 12.9" Apple iPad Pro came into my possession along with an Apple Pencil and a Logitech CREATE Backlit Keyboard Case. It should have done so, but the size of the screen did not strike me until I got it home from the Apple Store. That was one of the main attractions because maps can be shown with a greater field of view in a variety of apps, a big selling point for a hiker with a liking for maps, who wants more than what is on offer from Apple, Google or even Bing. The precision of the Pencil is another boon that makes surfing the website so much easier, and the solid connection between the case and the iPad means that keyboard usage is less fiddly than it would if it used Bluetooth. Having tried them with the BBC iPlayer app, I can confirm that the sound from the speakers is better than any other mobile device that I have used.

Already, it has come with me on trips around England and Scotland. These weekend trips saw me leave the Asus Eee PC stay at home when it normally might have come with me, and taking just a single device along with a camera or two had its uses too. While the screen is large for reading on a train, I find that it works just as well so long as you have enough space. Otherwise, combining use of a suite of apps with recourse to the web does much of the information seeking needed while on a trip away, which meant that I was not found wanting. Battery life is good too, which helps.

Those trips allowed for a little light hotel room blog post editing too and the iPad Pro did what was needed, though the ergonomics of reaching for the screen with the Pencil meant that my arm was held aloft more than was ideal. Another thing that raised questions in my mind is the appearance of word suggestions at the bottom of the screen as if this were a mobile phone, given that I wondered if these were more of a hindrance than a help given that I just fancied typing and not pointing at the screen to complete words. Though copying and pasting works too, I have found the screen-based version a little clunky. Thus, I must see if the keyboard one works just as well, though the keyboard set up is typical of a Mac and that affects word selection. You need to use the OPTION key in the keyboard shortcut that you use for this and not COMMAND or CONTROL as you might do on a PC.

Even with these eccentricities, I was left wondering if it had any utility when it came to backing up photos from digital cameras, and there is an SD card adapter that makes this possible. A failure of foresight on my part meant that the 32 GB capacity now is an obvious limitation, but I think I might have hit on a possible solution that does not need to upload to an iCloud account. It involves clearing off the photos onto a 128 GB Transcend JetDrive Go 300 so they do not clog up the iPad Pro's storage. That the device has both Lightning and USB connectivity means that you can plug it into a laptop or desktop PC afterwards too. If that were to work as I would hope, then the laptop/tablet combination that I have been using for all overseas trips could be replaced to allow a weight reduction as well as cutting the hassle at airport security.

Trips to Ireland still may see my sticking with a tried and tested combination though because I often have needed to do some printing while over there. While I have been able to print a test document from an iPad Mini on my home network-connected printer, not every model supports this and that for NFC or Air Print is not universal either. If this were not an obstacle, apps like Pages, Numbers and Keynote could have their uses for business-related work and there are web-based offerings from Google, Microsoft and others too.

In conclusion, I have found that my iPad Pro does so much of what I need on a trip away that retiring the laptop/tablet combination for most of these is not as outrageous as it once would have seemed. In some ways, iOS has a way to go yet, before it could take over from macOS, yet it remains in development so it will be interesting to see what happens next. All the while, hybrid devices running Windows 10 are becoming more pervasive, so that might provide Apple with the encouragement that it needs.

Dealing with an "Your insider preview build settings need attention" message in Windows 10 Settings

5^th September 2016

Having now upgraded all my Windows 10 machines to the Anniversary Update edition without much in the way of upheaval, I came across the following message on one of them:

Your insider preview build settings need attention. Go to Windows Insider Programme to fix this.

It appeared on the Update screen of the Settings application, and I believe that I may have triggered it by letting foolish curiosity take me to the Windows Insider Programme screen. Returning there offered no way of resolving the issue, so I had to try the registry editing tip that I discovered elsewhere on the web. Naturally, the creation of a System Restore Point before proceeding with changes to the Windows Registry is advised.

Typing REGEDIT into Cortana brings up a clickable link to the Registry Editor. Having clicked on this, I then clicked on the Yes button on the ensuing dialogue box that Windows 10 throws up every time you make a system change, such as installing new software. With the Registry Editor opened, I made my way to the following location:

HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\WindowsSelfHost\UI\Strings

Once there, I deleted every entry that mentioned "Insider" or "Windows Insider" to leave only two afterwards: "(Default)", "UnknownErrorDialogValues". That resolved the issue, and I now intend to stay away from the Windows Insider Programme screen in Settings so that the message never appears again.

Resolving Windows Update Error 0x80244019 on Windows 10

21^st August 2015

In Windows 10, the preferred place to look if you fancy prompting an update of the system is in the Update & Security section of the Settings application. At the top is the Windows Update, and the process usually is as simple as pressing the Check for updates button. For most of the time, that has been my experience, but it stopped working on my main Windows 10 virtual machine, so I needed to resolve the problem.

Initially, going into the Advanced Options section and deselecting the tick box for Give me updates for other Microsoft products when I update Windows helped. However, it seemed a non-ideal solution, so I looked further. When it was then that I found that manually resetting a system's Windows Updates components helped others, I tried that and restarted the system.

The first part of the process was to right-click on the Start Menu button and select the Windows PowerShell (Admin) entry from the menu that appeared. This may be replaced by Command Prompt (Admin) on your system on your machine, but the next steps in the process are the same. In fact, you could include any commands you see below in a script file and execute that if you prefer. Here, I will run through each group in succession.

From either PowerShell or the Command Prompt, you need to stop the Windows Update, Cryptographic, BITS (or Background Intelligent Transfer Service) and MSI Installer services. To accomplish this, execute the following commands at a command prompt:

net stop wuauserv
net stop cryptSvc
net stop bits
net stop msiserver

With the services stopped, it is then possible to rename the SoftwareDistribution and Catroot2 folders so you can refresh everything to remove them. To accomplish this, execute the following pair of commands using either PowerShell or the Command Prompt:

ren C:\Windows\SoftwareDistribution SoftwareDistribution.old
ren C:\Windows\System32\catroot2 Catroot2.old

Once you have the folders renamed, then you can start the Windows Update, Cryptographic, BITS and MSI Installer services by executing the following commands in either PowerShell or the Command Prompt:

net start wuauserv
net start cryptSvc
net start bits
net start msiserver

Once these have completed, you may close the PowerShell or Command Prompt window that you were using and restart the machine. Going into the Update & Security section of the Settings tool afterwards and pressing the Check for updates button now builds new versions of the folders that you renamed, and this takes a little while longer than the usual update process. Otherwise, you could let your system rebuild things in its own time. As it happens, I opted for manual intervention and all has worked well since then.

More thoughts on Windows 10

11^th August 2015

Now that I have left Windows 8.x behind me and there are a number of my machines running Windows 10, I have decided to revisit my impressions of the operating system. The first Technical Preview was something that I installed in a virtual machine, and I have been keeping an eye on how things have developed since then and intend to retain a Windows Insider installation to see what might be heading our way as Windows 10 evolves as now expected.

After elaborating on the all important upgrade process earlier, I am now moving onto other topics. While the Start Menu is a big item, there are others, as you will see below.

Start Menu

Let's start with an admission: the prototype Start Menu that we got in the initial Windows 10 Technical Preview was more to my liking. Unpinning all the tiles allowed the menu to collapse back to the sort of width that anyone familiar with Windows 7 would have liked. If there was a setting to expunge all tiles at once and produce this state, I would have been well happy.

It was later that we got to learn that Microsoft was not about to consign the Windows 8 Modern interface entirely to history, as many would have wanted. Some elements remain with us, such as a Start Menu with a mandatory area for tiles and the ability to have it display full screen. Some are live, only for this can be turned off on a tile by tile basis and unneeded ones can be removed altogether. It is even possible to uninstall most apps by right-clicking on a tile or other Start Menu entry and selecting the required option from the resulting context menu. For others, there is a command line alternative that uses PowerShell to do removals. After this pruning, things were left in such a state that I have not been moved to restore Classic Shell so far.

While the Start Menu settings used to be in the same place as those for the taskbar, they are found now in the new Settings tool. Some are in the Personalisation section, and it has its own Start subsection for setting full screen mode or highlighting of new apps, among other things. The equivalent Colours subsection is where you find other settings like assigning background colours based on those in a desktop background image, which itself is assigned in it own subsection in the Personalisation area.

Virtual Desktops

Initially, I failed to see the point in how Microsoft implemented these and favoured VirtuaWin instead. My main complaint was the taskbar showed buttons for all open apps regardless of the screen in which they are opened. However, that was changed, so your taskbar shows different buttons for each virtual desktop, just like the way that Linux and UNIX do things. Switching between desktops may not be as smooth as those yet, but the default setting is a move in the right direction, and you can change it if you like.

Cortana

Though this was presented to the world as a voice operated personal assistant like Apple's Siri, I cannot say that I am keen on such things, so I decided to work as I usually do instead. Keyboard interaction works fine, and I have neutered things to leave off web searches on Bing to use the thing much in the same way as the search box on the Windows 7 Start Menu. While it may be able to do more than that, I am more than happy to keep my workflow unchanged for now. Cortana's settings are available via its pop-up menu. Collapsing the search box to an icon to save space for your pinned and open applications is available from the Search section of the taskbar context menu (right-clicking the taskbar produces this).

Settings

In Windows 8.x, the Control Panel was not the only area for settings but remained feature complete. However, the same is not the case for Windows 10 where the new Settings panel is starting to take over from it. Though the two co-exist for now, it seems clear that Settings is where everything is headed.

Though the Personalisation section of the tool has been mentioned in relation to the Start Menu, there are plenty of others. For instance, the Privacy one is one that definitely needs reviewing, and I found myself changing a lot of the default settings in there. Naturally, there are some other sections in Settings that hardly need any attention from most of us and these include Ease of Access (accessibility), Time & language, Devices and Network & Internet. The System section has a few settings like tablet mode that may need review, while the Update & security one has backup and recovery subsections that may be of interest. The latter of these is where you find the tools for refreshing the state of the system following instability or returning to a previous Windows version (7 or 8.x) within thirty days of the upgrade.

Successfully migrating to Windows 10 on physical devices and virtual machines

10^th August 2015

While I have had preview builds of Windows 10 in various virtual machines for the most of twelve months, actually upgrading physical and virtual devices that you use for more critical work is a very different matter. Also, Windows 10 is set to be a rolling release with enhancements coming on an occasional basis, so I would like to see what comes before it hits the actual machines that I need to use. That means that a VirtualBox instance of the preview build is being retained to see what happens to that over time.

While some might call it incautious, I have taken the plunge and completely moved from Windows 8.1 to Windows 10. The first machine that I upgraded was more expendable, and success with that encouraged me to move onto others before even including a Windows 7 machine to see how that went. The 30-day restoration period allows an added degree of comfort when doing all this. The list of machines that I upgraded were a VMware VM with 32-bit Windows 8.1 Pro (itself part of a 32-bit upgrade cascade involving Windows 7 Home and Windows 8 Pro), a VirtualBox VM with 64-bit Windows 8.1, a physical PC that dual booted Linux Mint 17.2 and 64-bit Windows 8.1 and an HP Pavilion dm4 laptop (Intel Core i3 with 8 GB RAM and a 1 TB SSHD) with Windows 7.

The main issue that I uncovered with the virtual machines is that the Windows 10 update tool that is downloaded onto Windows 7 and 8.x does not accept the graphics capability on there. This is a bug because the functionality works fine on the Windows Insider builds. The solution was to download the appropriate Windows 10 ISO image for use in the ensuing upgrade. There are 32-bit and 64-bit disk images with Windows 10 and Windows 10 Pro installation files on each. My own actions used both disk images.

During the virtual machine upgrades, most of the applications that considered important were carried over from Windows 8.1 to Windows without a bother. Anyone would expect Microsoft's own software like Word, Excel and others to make the transition, but others like Adobe's Photoshop and Lightroom made it too, as did Mozilla's Firefox, albeit requiring a trip to Settings to set it as the default option for opening web pages. Less well-known desktop applications like Zinio (digital magazines) or Mapyx Quo (maps for cycling, walking and the like) were the same. Classic Shell was an exception but the Windows 10 Start Menu suffices for now anyway. Also, there was a need to reinstate Bitdefender Antivirus Plus using its new Windows 10 compatible installation file. Still, the experience was a big change from the way things used to be in the days when you used to have to reinstall nearly all your software following a Windows upgrade.

The Windows 10 update tool worked well for the Windows 8.1 PC, so no installation disks were needed. Neither was the bootloader overwritten so the Windows option needed selecting from GRUB every time there was a system reboot as part of the installation process, a temporary nuisance that was tolerated since booting into Linux Mint was preserved. Again, no critical software was lost in the process apart from Kaspersky Internet Security, which needed the Windows 10 compatible version installed, much like Bitdefender, or Epson scanning software that I found was easy to reinstall anyway. Usefully, Anquet's Outdoor Map Navigator (again used for working with walking and cycling maps) continued to function properly after the changeover.

For the Windows 7 laptop, it was much the same story, albeit with the upgrade being delivered using Windows Update. Then, the main Windows account could be connected to my Outlook account to get everything tied up with the other machines for the first time. Before the obligatory change of background picture, the browns in the one that I was using were causing interface items to appear in red, not exactly my favourite colour for application menus and the like. Now they are in blue, and all the upheaval surrounding the operating system upgrade had no effect on the Dropbox or Kaspersky installations that I had in place before it all started. If there is any irritation, it is that unpinning of application tiles from the Start Menu or turning off live tiles is not always as instantaneous as I would have liked, and that is all done now anyway.

While writing the above, I could not help thinking that more observations on Windows 10 may follow, but these will do for now. Microsoft had to get this upgrade process right, and it does appear that they have, so credit is due to them for that. So far, I have Windows 10 to be stable and will be seeing how things develop from here, especially when those new features arrive occasionally as is the promise that has been made to us users. Hopefully, that will be as painless as it needs to be to ensure trust is retained.