A Growing Share of IoT Investment Goes to Industrial IoT

IoT-Vs-Industrial

CB Insights:

A growing slice of deals to Internet of Things startups are going to applications relevant to asset-heavy industries, including manufacturing, logistics, mining, oil, utilities and agriculture.

Q1’16, for example, saw financings to enterprise drone developer Airware and industrial augmented-reality headset maker Daqri.

We used CB Insights data to compare quarterly financing to the IoT and industrial IoT (IIoT), in order to visualize the industrial share of overall IoT funding,

IIoT companies have taken an increasingly larger piece of the overall IoT pie. In 2011, IIoT accounted for 17% of all funding dollars. Fast-forward to 2015, and IIoT accounted for 40% of investment in the year.

Most recently, Q1’16 saw more than one-third of IoT funding going to industrial-focused startups.

 

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How Americans Spend Their Time (Infographic)

How Americans Spend Their Time

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Top 10 Data Science Influencers on Twitter

Twitter_influencers

ODSC:

To build a network and find the most influential data science twitter uses, we will use the NetworkX2 package to create a directed graph and to calculate eigenvector centrality (a measure of network influence) among the nodes (twitter users)…

Nodes represent twitter handles and the edges between the nodes represent user mentions. The size and color of the nodes correspond to eigenvector centrality values, which, again, is one measure of network influence. Let’s take a quick peek at the top 10 influencers (who are also plotted above):

  1. GilPress
  2. KirkDBorne
  3. Forbes
  4. BernardMarr
  5. bobehayes
  6. kdnuggets
  7. Ronald_vanLoon
  8. LinkedIn
  9. DataScienceCtrl
  10. BoozAllen

The top 10 influencers include some of the most respected individuals and organizations in data science, and so their influence among data scientists on twitter is not at all surprising.

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Market for securing IoT devices will increase 5X over next 5 years

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Business Intelligence:

A new report from Argus Insights analyzed more than 2.3 social media comments about the IoT since the start of 2016, and “concerns” and “real world applications” were the two biggest topics of conversation…

The conversations on social media were broad, as less than 10% of comments analyzed mentioned a specific company. This indicates that the IoT is still in its early stages because no company has been able to solve these problems and truly open the doors for widespread IoT implementation. Argus noted the market is more focused on how to solve the problems than who will solve them…

Jonathan Camhi of BI Intelligence, Business Insider’s premium research service, has compiled a detailed report on IoT Security that examines how vulnerable IoT devices will create new opportunities for different types of hackers.

  • Research has repeatedly shown that many IoT device manufacturers and service providers are failing to implement common security measures in their products.
  • Hackers could exploit these new devices to conduct data breaches, corporate or government espionage, and damage critical infrastructure like electrical grids.
  • Investment in securing IoT devices will increase five-fold over the next five years as adoption of these devices picks up.
  • Traditional IT security practices like network monitoring and segmentation will become even more critical as businesses and governments deploy IoT devices.
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Gartner Hype Cycle for Telemedicine and Virtual Care

Gartner_HypeHealthIT

Source:  Gartner

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Comparing Claims Data and EHR Data for the Same Patients

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Arcadia Data:

In healthcare analytics, Claims data are ubiquitous. They have been available for decades and are highly structured and standardized. Unfortunately, they are also relatively sparse, containing only a handful of procedure codes and diagnoses for each episode. EHR data, on the other hand, carries hundreds of valuable data points for each encounter, including social indicators, medical history, lab results, vitals, point of care observations and more.

Because of its complexity, however, EHR data often goes underutilized (or unused entirely). It is a massive and rich dataset that lies just beneath a bed of the more familiar claims data, waiting to be explored for improved risk stratification and population health management.

This graph visualizes the quantity of data available for a set of 500 patients taken directly from Arcadia’s Benchmark Database. Claims records are represented by the green bars above the ground, dwarfed by the immense set of underlying EHR data, represented by the brown bars below ground.

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Digital Trends 2016 (Infographic)

digital-trends-2016-infographic

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10 Jobs that Barely Existed 5 Years Ago

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Amazon Facts and Figures

bezos

Amazon_stats.jpg

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How Digital is Your Industry?

Digital_industries.png

Prashant Gandhi, Somesh Khanna and Sree Ramaswamy in the Harvard Business Review:

…what are the key attributes of a digital leader? And how can companies benchmark themselves against competitors? We looked at 27 indicators that fall into three broad categories: digital assets, digital usage, and digital workers. Our research shows that the latter two categories make the crucial difference.

Digital assets across the entire economy doubled over the past 15 years, as firms invested not just in IT but in digitizing their physical assets. Digital usage in the form of transactions, customer and supplier interactions, and internal business processes, grew almost fivefold — and over the entire period, the leading sectors maintained an enormous lead in usage over everyone else. But the biggest differentiator of all comes from having a digitally empowered workforce. Over the past two decades, the leading sectors’ performance on various digital labor metrics — such as the share of tasks involving digital tools and the number of new digital occupations — rose eightfold, while the rest of the economy barely ran in place…

The technology sector comes out on top — no surprise there. Right behind it are media, finance, and professional services, all of which have far more sophisticated digital capabilities than the rest of the economy. On top of these macro-level differences, we see that even lagging sectors may have standout firms that are pushing the frontier forward for everyone else.

 

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