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Challenging Assumptions is the Key to the Industrial Digitalisation



Industrial Digitalisation

I always relish and look forward to the opportunities I get to talk to people on my show. And what a day I recently lived! 

Last week, I had the privilege to talk with excellent Greg Perry, Fluke Accelix’s Capacity Assurance Engineer (Digital Systems division of Fluke Corp). This meet was the second one in the six months, and it was wonderful how profound this discussion went as compared to the first. If you haven’t heard my first conversation with her, I suggest treating it as a series and playing #1 before attending the second instalment.

Greg is an expert system engineer and industrial facilities reliability consultant. He is studying how industrial operations teams operate, how to handle challenges in industrial digitalisation, how the machinery they run works, digitalisation in manufacturing industry, and how ideal it is to involve Fluke’s software and hardware to achieve their desired uptime level. 

It costs a significant amount of money when devices suddenly break, and undoubtedly, it is ALL about productivity in manufacturing. Besides, it also costs big money, not just for returning the machine rather than the part, or even for the cost of labour, but the wasted product that was on the line at the time AND the loss of possible product that could have been created as well as likely fines from regulators and downstream consumers. 

You’d assume #IIoT was an ideal thing ever for this tightly-strung globe – a few strategically placed sensors, and all of a sudden, you have eyes on the plant. However, while explaining pf curve reliability, Greg does mention that there are some problems in the way.

However, it is not wrong to say that most plants are OLD, and the machinery spans various models and ages; and a lot has never been connected. There may not even be an infrastructure to link it to — many industrial environments are physically hostile to traditional cabling (abrasive, corrosive, etc.). They can be so giant and remote that WiFi and even cellular networks are hard to execute. That’s a piece of why even though the #IIoT has been here for a while, it’s taken some time and mindful thinking to execute it.

The additional parts are:

A. Lack of time to do anything more on top of what they are already doing full speed

B. Resistance to change 

Greg’s mission is to utilise his experience with how facilities, people, and machines work and his knowledge of what Fluke’s “connected reliability” framework of software and hardware can do to each client and help them move onwards. 

“You’ll see some companies out there approach reliability from the technology point of view, and they seem not to understand the other two aspects to this, one of which is people and the second is processes. We want to connect equipment, assets and data, and we want to connect that through synergy with processes and people together because that’s where you’re going to get true reliability,” states Greg. 

Especially, Greg utilises a tool known as the P-F Curve (article link below) that reliability engineers have been using for some time to assess what sort of assessment to do on what type of tools when to detect issues. At the same time, they’re still little enough to be easily fixed.

Using his lens of people and processes, he sort of shifted it and came up with a new angle of capacity assurance, maintenance and maintainability — that’s the latest plan. It’s more like a twin sibling to data science – it’s all of the rationale necessary to justify and best utilise the sensors, data and analytics, and it gets right into the lane of the operating engineer. 

In the discourse, you’ll also listen to how Greg explains the different physical and data environments he sees across industrial digitalisation or the several kinds of industrial and commercial facilities he visits and how different the “solutions” have to be based on the condition.

But it concluded well – the resistance to change that Greg and others experienced at the outset of the IoT has lessened as plants have dipped their toe in via pilots and individually connected machines, and there’s a real need to get around all of the data silos in the plant — there’s a broader willingness now to proceed. Exciting times indeed. 

Well, if you found this description interesting, I truly recommend you to attend Greg’s second interview with me. It’s a sneak- peek inside industrial digitalization systems that you don’t get regularly. Moreover, I want to hats off to the Fluke Accelix team for all their work and want to show gratitude for giving me the chance to take such interviews.

For more information on the work Greg discusses, follow these links:

  1. Greg’s 1st appearance as my featured guest on Conversations with Dez podcast
  2. Greg’s 2nd appearance on Conversations with Dez as my featured guest
  3. Recent article by Greg Perry on the P-F Curve & Capacity Assurance
  4. Article by Greg Perry on Capacity Assurance Maintenance
  5. For more info visit the Connected Reliability page on the Fluke website


Aerospike Appoints Martin James to Lead EMEA



Martin James has been named vice president of Europe, the Middle East and Africa (EMEA) by Aerospike Inc., the pioneer in real-time data platforms. Martin joins Aerospike with 25 years of experience in the database industry.

Martin came from Percona, where he tripled the company’s revenue across EMEA and APAC. Prior to joining Percona, he managed enterprise sales at DataStax as regional vice president for northern Europe, achieving double-digit growth.

In today’s Right-Now Economy, Martin is in charge of promoting regional growth and satisfying client demand for Aerospike, and will create regional sales teams for Aerospike to meet the strict SLAs set by today’s data-driven businesses.

“Martin brings decades of experience to the Aerospike team. His broad experience in the UK/EMEA region and proven leadership ability will allow him to evangelise our Real-time Data Platform to businesses looking to modernise their data architectures. Now is an exciting time to lead the EMEA region as we extend our footprint across the UK and Europe.” said Jim Lodestro, CRO at Aerospike

Enterprises today depend on mission-critical real-time apps to accomplish business goals. James will promote the Aerospike Real-time Data Platform to companies looking to develop massive real-time applications with guaranteed sub-millisecond performance at gigabyte to petabyte scale.

Following the announcement of record sales of its Aerospike Real-time Data Platform in 2021, Aerospike recently also reported a record first half of 2022. The business tripled sales outside of North America, doubled anticipated 2020 growth, and quadrupled Aerospike Cloud Managed Service growth.

Aerospike have debuted two powerful products in the second quarter:

  • Aerospike Database 6, which natively supports JSON and JSONPath queries to help developers build large-scale document-based applications.
  • Aerospike SQL Powered by Starburst, which delivers massively parallel, complex SQL queries on petabyte-scale data stored in Aerospike.

Developers can now also test-drive Aerospike 6 with no setup required, in an improved Aerospike Developer Hub’s Code Sandbox, which also offers simple access to interactive tutorials, sample code snippets, and training.

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The battle for your privacy – is it already lost?



Spoiler: yes, it is – though there are things you can do which I’ll look at in a future blog. Your online activity is tracked in more ways than you know – and not just with cookies on web pages. Your telco service providers track you. Apps on your phone and tablet track you. Search engines, social media, smart speakers, your TV, and credit agencies all track you. That font on the web page? Tracking you. That Facebook logo you used to share a link or news article? It tracked you. So does WhatsApp1. You don’t use Facebook or Google? They’re still tracking you. Did you get an iPhone because Tim Cook says it’s private? There’s good news – leave it in the box turned off, and it is.

The stark fact is that in the digital world, you are nothing but a product to be sold, quite literally, to the highest bidder2.

The physical world isn’t much better

Out there in real life, things are better, right? Wrong. We mostly all carry our phones with us, and it becomes a personal town crier about our behaviour. Stores have what’s known as ‘beacons’ that connect to your phone via apps like Facebook. Ever visited a department store concession and then got loads of ads right after? What a coincidence! Nope, they knew you were there, and they think you’re a hot prospect, even if you looked and hated everything. The tracking continues with ‘free’ in-store WIFI.

But of course, you turned off WIFI, Bluetooth and location services before left your home, right? No, you didn’t? It’s not a surprise because you’ve been groomed not to. 

In addition, facial recognition and gait analysis AI are increasingly used, which are clearly more invasive than security cameras. Once the preserve of national security services, this tech is now well embedded in commercial organisations. In the case of Amazon’s checkout-free stores, they actually watch everything you put in your basket, so you can just walk out and be billed. Convenient, but how is that data used? I’m sure everyone who uses those stores has read the privacy policy and know already. No need to worry then…

Does it really matter?

I’m pretty sure that if someone physically followed you everywhere you went and watched what you did, taking detailed notes, you’d get pretty hacked-off with it. As it’s all digital and mostly hidden, we put up with it.

I can see the argument that ‘It’s just a computer running algorithms to serve me ads, so what’s there to worry about?’ It’s true, but there are also nefarious aspects to it. You need to consider the points below, in addition to that embarrassing ad served to your nan when she borrowed your tablet:

  • You could end up paying more for goods or services because of your profile. It’s not legal everywhere, and even where it is illegal it’s very difficult to police 
  • If the company holding data about you is hacked, it could be used for criminal purposes such as the theft of your identity, theft of your property or assets, or even to extort you
  • Compulsive spending, gambling addictions and other mental health issues could be fed by ads and content that follow you around the internet
  • Government and security agencies can access commercial data, which could lead to more invasive surveillance if your metadata reveals connections to people or groups deemed of interest, even if your own connection to them is innocent or accidental
  • Do you tend to get searched every time at the airport? It could be ‘pre-crime’ AI picking you out due to the digital trails leave3

It’s worth noting that these points don’t offer a complete picture, they’re just the tip of the iceberg.

OK, so what about privacy laws and regulations?

You’re probably thinking about the EU’s General Data Protection Regulation (GDPR), the California Consumer Protection Act (CCPA) and other similar laws that have spread around the world in recent years.

The truth is that the laws are there, but privacy violations aren’t policed at all in most cases – it’s up to us to tell regulators (or lawyers) after we’ve approached the offending organisation. Data breaches and well-researched cases brought by experts will get looked at of course4, but it depends where in the world you are.

Is it time to give in?

Keep fighting is my view, there is momentum out there. Privacy awareness is increasing, and even Google is changing – they will end tracking cookies in a few years. Don’t get too excited though, there’s lots of other tracking tech out there, which will only increase. Google are merely shifting position5, not stopping what they do. Cloud providers and thousands of SaaS companies already offer more tracking tech and personal data analytics services than you can imagine. And that’s before we get to data brokers who make data about you, their business.

Want to understand more? Check out the links below, and watch out for my next blog, where we’ll look at how you and your data are sold, and dive deeper into our world of creeping surveillance. 


1: WhatsApp insist they don’t read your messages, but metadata about your contacts and usage is shared with other Meta companies, Facebook’s parent. Learn about metadata here:

2: UK regulator says real-time bidding violates GDPR, Martech, June 2019

3: Pre-crime Software for Border Guards, Privacy International  

4: NOYB (None of Your Business) is a good example of legal expertise used to bring privacy cases with regulators: 

5: Google’s cookie ban and FLoC, explained, Wired, May 2021:  

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Sustainability: using Data, AI and IoT for good



Data growth is always bad news, isn’t it?

You’d probably think all data growth is evil after my last two blogs1. I laid out how uncontrolled data growth was bad for your carbon footprint, bad for your risk exposure and bad for your budget. Unrestrained collection of personal data means it’s also bad for your privacy, too.

There’s an old saying ‘You can’t see the wood because of the trees’2, and this is all too often the case when it comes to data. We have so much of it, we can’t see or find the data that matters. Which, ironically, is a problem we won’t have for much longer with actual forests, given the way we’re working at deforestation.

Controlled and smart data growth can, however, be good for our planet. It already has been – we’d have wrecked the ozone layer without the satellite data collected decades ago that led to an unusually successful global effort. In the future our ability to collect and process even more data will be transformational, and we’ll absolutely need it to help us meet climate goals if we’re to sort this mess out.

The main reason we know where the climate emergency will take us is down to the digital modelling3 of our world. Due to our ability to collect ever more granular data, these models have got better over time. It’s allowed us to shift from a debateable ‘we think’ to a level of certainty that we can now say ‘there’s no doubt’. And digital models are driving change everywhere, in lots of positive ways.

Twins – but not the Schwarzenegger and DeVito kind

If you’ve ever seen the film Twins, where the two actors above played genetically engineered twins, you might think that ‘digital twins’ bear as much resemblance. You’d be wrong.

Machine learning and AI’s ability to process data has progressed so much in a relatively short time. We can use it to drive engineering efficiencies that improve reliability and extend the working life of all kinds of components. Aircraft engines once had 8-10 sensors, now they have many thousands, and data collected from them leads to all sorts of improvements. In a similar fashion, trains can create multiple terabytes of data in a relatively short space of time. Sensor tech has changed too – it’s not just about temperature, pressure, motion, or speed anymore, it’s now also about what machines can ‘see’, too.

This allows us to design better stadiums, model more efficient cities and transport systems, and make them smarter. Combining all these sensors with reliable networks means we can understand how events or extremes applied in the digital world, to a twin, will play out in the physical world. And what’s even more exciting is the capacity to use AI to do this in real-time, allowing us to react and avoid dangerous or wasteful situations arising in the first place.

It’s not all about avoiding a disaster or an extreme situation in a big, smart city though. AI running all the time in the background will have an increasing direct benefit on sustainability, pretty much everywhere. Things such as energy efficiency, optimised use of resources and limiting waste production can work in buildings, manufacturing plants, hospitals, Universities, or pretty much anywhere. Google famously pointed its own AI tech at datacentre cooling4 and saved 40% on its cooling bills, which produced a corresponding reduction in CO2.

IoT and 5G – they’re not just hype

While my angle in this blog centres on data, data relies on many components before it can be collected and used, and the two biggest deals here are the Internet of Things (IoT) and 5G. I can almost hear many of you thinking ‘5G? How many folks really have access to that???’

Right now, the real deal about 5G for many of us is the infrastructure changes to support it – the cables and switches that get the data to and from the 5G masts. It’s not just had an incremental upgrade; it’s all getting a mammoth one. This extra capacity is what’s allowing AI and sensor data to help us radically change things, and it’s happening even if you can’t get (or don’t use) a 5G signal yourself just yet. Many cities are already smarter than you think and 5G will allow them to get smarter. Really smart.

Sustainability doesn’t have to be a cost centre

There’s a lot of negative talk about how much it costs to be sustainable. It will vary by what business you’re in of course – there will be losers. That said, I’m a great believer that every organisation has a chance to change and for many, sustainability will have a cash benefit, not a cost. So, sticking to my data theme, what can you do?

  • Think about reducing/expiring unnecessary data – it all has an impact and a potentially much bigger cost/risk profile (see here)
  • Some (whom I disagree with) say that data is ‘the new oil’. Sadly, if you don’t think about where you store it, it could be powered by the old black stuff (or another fossil fuel)
  • Think about shifting it to the cloud. The big cloud providers are mostly powered by renewables, and reach a level of efficiency that most orgs can’t get close to themselves
  • In closing I’ll say that we’re heading for exciting changes in this area, and while AI, IoT and 5G get all the hype, our old friend data is what’s making it all happen. And the best part? For those of you so inclined, you can play a part too. If you want to experiment with actual data as a Citizen Data Scientist, there are many open-source libraries you can access – often published by higher education establishments or local governments (even smart city data) and by commercial organisations. As a commercial entity, you could even tap into this community yourself5.

    For those less analytically inclined, there is an ever-growing number of ways to participate in Citizen Science6 and play your part as a (really) smart sensor – something your kids can enjoy too. Data isn’t always good or useful, but the good stuff has the possibility to be priceless to us all.


    1: 1st blog: , 2nd blog

    2: Changed slightly for ease of understanding, the actual saying is ‘You can’t see the wood for the trees’ (link also explains the US variation)

    3: Diagnosing Earth: the science behind the IPCC’s upcoming climate report, Aug 2021

    4: AI for data center cooling: More than a pipe dream, Datacenter Dynamics, April 2021

    5: How to Use Citizen Data Scientists to Maximize Your D&A Strategy, Gartner, June 2021

    6: Citizen Science Provides Useful Data For Sustainable Development Goals, International Study Shows, Forbes, July 2020,

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