Congratulations Ian Hughes: Doctor IoT!

Last week, 451 Research’s senior analyst for the Internet of Things Ian Hughes was honored with an honorary degree of Doctor of Technology from Solent University.

ian hughes blog imageIn many ways, such an honor was inevitable for Ian, at least in our not-so-humble opinion. With 30 years of experience in the industry, Ian has served as an emerging technologies developer, software engineer, cross-industry app developer and a video game programmer before joining the 451 Research family. He has numerous patents to his name including virtual sporting event simulations, activity tracking and location-based services.

Most notably, Ian became an entrepreneur in 2009 when he started his Feeding Edge. During this time, he regularly appeared as “Super Geek” on the UK children’s program “The Cool Stuff Collective,” built virtual multi-user training hospitals and wrote a regular technology column for a fashion magazine. If you are familiar with Ian on social media, you know he also published two sci-fi novels under his online name Epredator.

Ian has been a familiar face at Solent University for years, hosting speaking engagements for students and faculty about Augmented and Virtual Reality for business and industrial usage as well as the gaming industry – his first love. He also chairs the BCS Animation and Games specialist group at the university and is a STEMnet ambassador. We couldn’t be more proud of our “Dr. IoT” and hope you join us in congratulating him!

Ian’s most recent work at 451 Research include a Technology & Business Insight report entitled “Exploring Industrial Internet of Things Adoption Rates and Maturity Across Industry Types,” a webinar on the same topic which can be accessed on our blog and numerous Market Insight reports tackling many areas of the IoT space. Be sure to also check out his interview with Solent University.
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Industrial IoT: What is Missing and What is Next?

451 Research has covered the adoption of Industrial IoT for several years, and it is a significant area to consider both for existing IT providers and for those industries looking to automate further. IIoT has significant long-term equipment installations, brownfield sites, as well as major new installations adopting all of the latest technology, under its umbrella. This area also has the ongoing organizational struggles between Operational Technology (OT) and IT, making projects more complicated to build and deploy. There are also some noticeable gaps in the approaches to IIoT and its related technologies that may not have been dealing with adequately.

During this webinar, Ian Hughes, Senior Analyst for IoT, VR and AR, and Emily Wentworth, Research Associate, at 451 Research will describe the current state of play of IIoT and then introduce some key challenges and opportunities in the future. Ian will touch on the challenge of defining architectures in IIoT, and testing and implementing solutions. He will further highlight the importance of uniting OT and IT and the role of people in what is often portrayed as a pure automation play, as well as cover how front-line workers will need to engage with IIoT on the shop floor, using tools such as Augmented Reality (AR) to get the full benefit of this digital transformation wave. Emily will cover her work on Cobots in this presentation. 

The webinar will be of use to those in the IT industry who will benefit from the OT perspective and vice versa.
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Assessing the Impact of Data Science on the Analytics Landscape

The evolution of data science – including machine learning, deep learning, and other forms of artificial intelligence – has had a significant impact on the data analytics landscape in recent years, and looks set to drive considerable change in the market in the coming years.

In response, 451 Research’s new Data Management and Analytics Market Map 2018 includes a complete re-categorization of our Analytics Market Map to reflect the realities of analytics users and use cases today, dividing the analytics market into four key sectors:
  • Analytics tools
  • Analytics platforms
  • Data science tools
  • Data science platforms
During this webinar, 451 Research’s Research Director, Data Platforms and Analytics, Matt Aslett, will explain the rationale and definitions behind the new categorization, as well as identifying the key challenges and innovations that will shape the analytics and data science market, and also revenue and growth expectations.

The webinar will also touch on other aspects of note delivered with the Data Management and Analytics Market Map 2018, including:
  • The ongoing evolution of Corporate Performance Management
  • The addition of Data science Management to the Data Management Market Map
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Tech M&A Mid-Year Review – Big Spenders Return and IPOs Set Records

In this webinar, hear about the current boom in Tech M&A spending and what it may mean for the rest of 2018. Spending on tech acquisitions in the first half of this year has surged -- 70% higher than the same period last year. Despite facing sharp competition from non-tech acquirers and private equity buyers, enterprise buyers are back in the game and on pace to do more tech deals this year than any year in history. On top of that, the other exit for startups is busy, too, with the pace of enterprise technology IPOs hitting a post-recession record.

Join Brenon Daly, who leads 451 Research’s M&A practice, and Scott Denne, a senior M&A analyst, for an update on the first half of 2018 and what we expect to shape dealflow for the rest of the year. They’ll highlight trends in deal activity with insight from 451 Research analysts as well as 451 Research’s M&A KnowledgeBase, the industry’s only tech-focused M&A database, and:

  • Take a look at trends in both M&A activity and valuations.
  • Discuss implications for buyers, sellers and investors.
  • Dissect this year’s IPO boom and forecast which startups might be looking to join the parade of new offerings. 
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How pricey are the hyperscalers' Internet of Things offerings?

Lead Researchers: Owen Rogers, Research Director - Digital Economics Unit, and Christian Renaud, Research Director - Internet of Things

451 Research recently published its Technology & Business Insight: The Economics of IoT report, which compared the pricing models and costs of the cloud IoT offerings of three leading hyperscalers – AWS, Google and Microsoft. 451 Research Voice of the Enterprise IoT survey respondents identify these three large public cloud providers as the leading IoT platform vendors.

To discover these results was no simple task. Costs related to AWS IoT Core, Google IoT Core and Microsoft Azure IoT Hub are structured so differently that manual cost comparisons are almost impossible. Even where pricing models appear simple, subtle differences can have significant cost implications.

For instance, one hidden element that affects cost is that each provider has its own definition of what constitutes a message. Some IoT platforms do not charge for 'keep alive' messages of just a few bytes, while others do. In fact, some cloud providers round up small messages such as this to the nearest kilobyte. This results in a 64-byte 'ping' message being charged for 17 times the capacity.

To account for these differences and complete their analysis effectively, the analysts carefully identified nine pricing parameters that have a bearing on the cost of the hyperscaler cloud IoT platforms. The parameters still led to millions of permutations where one provider would be more cost-effective than the next. The only approach was to price all possible combinations and understand the differences using machine-learning techniques.

The analysts constructed a Python simulation that performed 10 million comparisons of US pricing. Each simulated scenario had a randomly selected configuration of the nine price-impacting parameters. Resulting data was then fed into an analytics platform that produced a Chi-square automatic interaction detection (CHAID) decision tree. The tree revealed which combinations of the parameters drove which provider (AWS, Google or Microsoft) to be the cheapest with a predictive strength of 96%.

Overall, the 451 Research Digital Economics Unit's methodology deduced that Microsoft Azure is the cheapest at scale, but AWS is the least expensive IoT provider for deployments of less than 20,000 devices that each send an average of three messages or fewer at under 6KB a minute. Google was not found to be exclusively the cheapest in any scenario.

To learn more about what factors drive the cloud-related costs of Internet of Things deployments, and in which scenarios each cloud provider has a cost advantage, register below for our webinar on June 13 at 1:00 pm ET.

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