Navigating the GDPR Compliance Challenge With AI
The EU General Data Protection Regulation (GDPR) is a game changer. It brings privacy law into the 21st century. While its ambition is to foster the free flow of information it considerably strengthens privacy rights, imposes rigorous obligations on data controllers and processors, backed up with penalties and legal liabilities in the event of non-compliance.
While GDPR is an EU regulation its impact is global in scope. All U.S. companies that offer goods and services to EU residents are potentially subject to GDPR. Yet, recent surveys indicate that a large percentage of US companies are not ready to comply with GDPR.
What are the major hurdles to compliance? Visibility to data is at the core of the compliance challenge driven by the growth in the volume, velocity and variety of data – a large percentage of which now lives beyond traditional organizational boundaries – in the cloud, IoT and social media.
There is an even more vexing challenge: data analytics — powerful algorithms that cut through vast amounts of data. Advances in predictive analytics are fundamentally changing the definition of data. It consists of not only consent based data collected from data subjects but also extends to observed data, for example, video data from surveillance sensors and inferred data aggregated from diverse data sets that creates a digital fingerprint of data subject sentiments, preferences and behaviors.
This presentation is designed to help your organization navigate the data challenges associated with GDPR compliance and provide a practical framework to apply AI and machine learning technologies to streamline your compliance obligations.
Presented by Andrew Pery, a marketing executive with over 25 years of experience in the high technology sector focusing on content management and business process automation. Andrew holds a Masters of Law degree from Northwestern University, Chicago, is a Certified Information Privacy Professional (CIPP/C) and holds the designation of Certified Information Professional (CIP/AIIM).
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Intelligent Capture and Robotic Process Automation (RPA): Coming Together to Transform Your Business
Featuring Bill Galusha, Director of Product Marketing, ABBYY
Robotic Process Automation (RPA) has exploded onto the market with intelligent software robots being used to automate a wide array of manual human tasks and activities by simply mimicking what a user does across one or many applications. Quite often these process activities that are being automated by a robot involve the processing of both structured and unstructured content.
To continue to fuel the use and expansion of RPA and the value it delivers in terms of cost savings and operational efficiency gains, organizations will need to look towards technologies and solutions that easily connect into the robot automation foundation that add content intelligence for learning, understanding, and processing all types of content including images, digital files, email messages, and text.
During this webinar we will explore the use of RPA for content-centric use cases, and how intelligent data capture is critical to the value and growth RPA can deliver.
We’ll specifically cover:
- How intelligent capture is complementary to RPA tools when it comes to automating content-centric processes.
- We’ll explore specific content-centric use cases in industries in banking, manufacturing, logistics, and finance and accounting.
- The business case and ROI that RPA plus intelligent capture can deliver.