WEBINAR: Say goodbye to the old ways of Master Data Management and embrace the future - 10th April 2018

Web Seminar  Make way for the agile single customer view: 
Say goodbye to the old ways of Master Data Management 
and embrace the future

Apr. 10, 2018 | 2 PM ET/11 AM PT
Hosted by Information Management

Did you get burnt? Are you one of the thousands that implemented MDM, only to find it too rigid, 

inflexible and ultimately failing to meet business expectations? Reboot your thinking, apply Graph and uncover the relationships between people, places and things.Join our webcast to learn about a new approach 

to mastering customer information. The agile Single Customer View helps organizations 

start fast and understand customers without replacing existing technologies.

Andrew Chumney Single View Solutions Manager Pitney Bowes (Presenter)	Aaron Zornes Chief Research Officer The MDM Institute (Moderator)

Sponsor Content From:

Register here

How to get more value from machine learning by Ben Schreck and others via @HarvardBiz

Spoiler alert: it's not the algorithms. It's the ease of use.

I have to agree with the authors of this - if it is so complicated no one understands it and can barely use it, how can anyone else use it, and how do you know that the result is good?

SLIDESHOW: 14 top platforms for governance, risk and compliance data management by David Weldon via @infomgmt

AI Global Compliance, LogicManager and Nasdaq BWise are among the leading products in the GRC software space, according to a new Forrester Research Wave report.

Some I know and some I don't - certainly this is a good place to start if you need to get a new platform for your organisation.

SLIDESHOW: Avoiding the 7 biggest threats to data backup by David Weldon via @infomgmt

As we approach World Backup Day on March 31, security expert Rod Mathews reviews the top vulnerabilities that organisations need to guard against.

Who knew there was a day for backing up data? Some really important points here. Definitely the backups need to be separate and not in the same system/place. 

For your own personal data it is really important that you do regular backups and that you do them onto some kind of external media.  I have several external hard drives that I backup to, always run all the scans possible first. and backup at least once every 2 weeks (at home I don't create that much data etc).  Get into a routine.

SLIDESHOW: 20 best practices of top chief digital officers by David Weldon via @infomgmt

Growth in digital transformation efforts in healthcare is driving the need for more CDOs, who need to be versed in strategy, governance and execution.

Slide 11 if really key - you need to get the C-level people behind you and seeing the benefits of the advantages of what you are trying to achieve.

Using Evolutionary AutoML to Discover Neural Network Architectures by/via @googleresearch

Updates from Google Research: they’ve successfully used an evolutionary algorithm to beat out reinforcement learning-based approaches to autoML. The most fascinating result is that the evolutionary approach is not simply higher performance—it requires far less computation to arrive there

This is really interesting.

WEBINAR: Model Risk Management with Automated Machine Learning - 29 March 2018

Webinar Details Register today Thursday, March 29, 2018      Presenter:  1:00 pm Eastern / 10:00 am Pacific      Seph Mard 45 minutes with Q&A      Head of Model Validation, DataRobot

Model Risk Management has recently become a very hot topic in regulatory and compliance-rich industries. But traditional model development methods are time-consuming, tedious, and subject to user error and bias.  Automated Machine Learning offers a much more robust framework for managing and minimizing model risk than traditional manual modeling.  It not only automates the building of highly-accurate predictive models, but also automates the documentation required for Model Risk Management.  On this webinar, you'll discover:  - The tools that Automated Machine Learning (AML) provides to optimize and accelerate your model risk management framework. - How AML increases the efficiency of your model development and validation processes, while also further aligning modeling and validation processes to regulatory expectations for model risk management. - How AML reduces model risk, while developing cutting-edge machine learning models.

Presenter: Seph Mard Head of Model Validation  DataRobot