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This week, an increasing number of organisations are turning to machine learning models to aid the development of their AI technologies. But another trend could threaten the trustworthiness of those systems: data poisoning. Are you prepared?

Welcome to The Digital Eye, your weekly roundup of the latest technology news. 

Our team of experts have scoured the internet for the most exciting and informative articles so that you can stay up-to-date on all things digital, data, blockchain, AI & analytics.

This week’s the Top Reads:

    1. Insurance reimagined for using smart IoT sensors
    2. Guidewire to connect Insurers to possible InsurTechs
    3. Marshmallow, a $1.3B Car Insurance Startup, Aims for the Big Leagues
    4. What is data poisoning, and what is the antidote?
    5. DeepMind acquires and open-sources robotics simulator MuJoCo

Bonus Article:

  1. How do you measure success in digital? Five metrics for CEOs

 

We hope you find this information valuable and would appreciate your help in sharing it with others who may also be interested.


 

Insurance reimagined for using smart IoT sensors.

 

Insurtech firm ARMD launches a new intelligent tool protection solution to protect tradespersons in response to the London crime wave.

 👁️‍🗨️ Read Article

 

“Insurtech firm ARMD launches new intelligent protection solution for tradespeople as tool theft crime wave grips London.

ARMD has announced the launch of their new intelligent protection solution for tradespeople as a tool theft crime wave hits London businesses.

The new tool protection solution from the Insurtech firm aims to support tradespeople through an inventory management app, smart IoT sensors and smart insurance. The ARMD offering is a radical reinvention of the way that tradespeople can protect their businesses.”

shared by @LondonIssue

 


 

Guidewire to connect Insurers to possible InsurTechs

 

InsurTechs in its new Vanguard program include:

@Attestiv_Inc

@MakuSafeCorp

@smartroost

@zensurance

@zestyai

👁️‍🗨️ Read Article

 

“Guidewire Software has launched a new program designed to connect its insurance industry customers to up-and-coming InsurTechs.

Dubbed, Insurtech Vanguards, the program will highlight innovative InsurTechs that bring novel approaches to the industry. The program is designed to promote partnerships and offer guidance to its P/C customers; both elements Guidewire hopes will give its additional platform heft.

Guidewire noted it has been active with InsurTechs, as an investor and through its PartnerConnect Solution program, which offers curated access to a host of InsurTech and more established third-party partner products and services on its Guidewire Marketplace platform.”

shared by @CarrierMgmt


 

Marshmallow, a $1.3B Car Insurance Startup, Aims for the Big Leagues.

 

“We found that we were able to use data that other insurers aren’t using.”

👁️‍🗨️ Read Article

 

“For three centuries, a handful of insurers have dominated the market from the City of London. The upstart intent on challenging them rents two floors outside the district in an area known as Silicon Roundabout, where its employees work while lounging on cushioned windowsills.

Marshmallow, a car insurance app that recently became the UK’s second black-founded firm to reach a billion-dollar valuation, won’t work from its current Old Street digs for much longer. It’s moving to a nearby office with triple the space after headcount grew more than threefold during the pandemic and as it ploughs ahead with expansion plans into Europe.”

shared by @CarrierMgmt


 

What is data poisoning, and what is the antidote?

 

Businesses must fully understand the threat, what it takes to poison data, & how they can protect it!

👁️‍🗨️ Read Article

 

“An increasing number of organisations are turning to machine learning models to aid the development of their AI technologies. But another trend could threaten the trustworthiness of those systems: data poisoning.

The key to a successful antidote lies in more than simply fixing the problem after it has occurred. To guard precious data against it, businesses must fully understand the severity of the threat, what it takes to poison data, and how they can protect against it throughout the whole process of creating AI systems.”

shared by @InformationAge


 

DeepMind acquires an open-sources robotics simulator MuJoCo.

 

MuJoCo, which stands for Multi-Joint Dynamics with Contact, is widely used within the robotics community.

👁️‍🗨️ Read Article

 

“DeepMind, the AI lab owned by Google’s parent company Alphabet, today announced that it has acquired and released the MuJoCo simulator, making it freely available to researchers as a precompiled library. In a blog post, the lab says that it’ll work to prepare the codebase for a release in 2022 and “continue to improve” MuJoCo as open-source software under the Apache 2.0 license.

recent article in the Proceedings of the National Academy of Sciences exploring the state of simulation in robotics identifies open source tools as critical for advancing research. The authors’ recommendations are to develop open-source simulation platforms as well as establish community-curated libraries of models, a step that DeepMind claims it has now taken.”

shared by @VentureBeat


 

Bonus Article

 

How do you measure success in digital? Five metrics for CEOs

 

1 – ROI
2 – % tech budget spent
3 – Time to market
4 – % linked to digital
5 – Top tech talent promoted/retained

 

👁️‍🗨️ Read Article

 

“As organisations launch more and more digital initiatives, CEOs must monitor whether they are delivering business results. These metrics are the ones to watch.

In a time of seemingly nonstop digital disruptions, which have only accelerated during the COVID-19 pandemic, the business imperative to embrace digital data and analytics is widely understood. The link to business value, however, is not. When we ask CEOs how their transition to digital is progressing, they often respond with a list of initiatives underway across the business—building a new tech platform, launching new products, or investing in infrastructure, to name a few. But when we ask them to quantify the impact on the bottom line, there’s usually a long silence.”

shared by@McKinsey


 

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