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Connected Auto Insurance USA

16-17 April 2020

Chicago, USA

https://events.insurancenexus.com/connectedauto/













Secure your future today: Develop Carrier-OEM-supply chain collaboration, deliver seamless transportation solutions through connectivity and develop models that provide customer choice, safety and security atConnected Auto Insurance USA(April 16-17, Chicago).

Auto insurance has changed forever. Ultimately, data mastery will determine market share and foster strong business models to boost operational efficiency and satisfy customer demand for service excellence.

New opportunities are emerging to personalize customer choice, modify behavior and deliver a faster, more accurate claim service. But the journey through capturing and operationalizing data will be challenging.

Connected Auto Insurance USAis bringing together 250+ senior executives from across the ecosystem- to enable all participants to become digital, customer-centric businesses.

 
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Learning iOS Forensics

A practical hands-on guide to acquire and analyse iOS devices with the latest forensic techniques and tools.

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Andrew Harbison

Andrew Harbison is a Director and IT Forensics Lead at Grant Thornton

 

Coming up in the Next issue of Digital Forensics Magazine

Coming up in Issue 42 on sale from February 2020:


Forensic Syntactical & Linguistic Investigation

Mark Iwazko presents a case study regarding a Forensic Syntactical & Linguistic investigation: Instructed by the Moscow General Council of one of the actual big four accountants. Read More »

Forensic Readiness: A Proactive Approach to Support Forensic Digital Analysis

An increasing number of criminal actions are inflicting financial and brand damage to organizations around the globe. An impressive number of such cases do not reach the courts, mainly because of the organization’s inefficiency to produce robust digital evidences that are acceptable in the courts of law. Read More »

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Using Error-Patterns for Attribution: An Applied Linguistics Technique

Corpus Linguistics within Second Language Acquisition has developed models of error patterns made by defined groups of second language learners. This knowledge base can be leveraged by a knowledgeable analyst to attribute content to a subset of authors. Read More »

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