Algorithmic Destruction: The Ultimate Consequences of Improper Data Use
The FTC is serious about data being properly collected and used. In several cases, it has ordered what is called the algorithmic destruction of AI systems …
Self-Regulation and Policymaking Guidance Regarding the Use of AI and ML
Business Roundtable: Continued thought-leadership in the regulatory landscape by companies deploying AI/ML technologies will help ensure a successful future …
Real-time Analytics News for Week Ending October 23
In this week's real-time analytics news: Arm unveiled Arm Total Solutions for IoT, TigerGraph teamed with HPE and Xilinx to deliver a bundled system for graph …
The Rise of RegTech and Its Future in the Age of Big Data
Regtech’s influence will grow as organizations, particularly in the finance sector, grapple with the growing complexity and pressure of staying compliant.
Data Privacy as a Competitive Advantage
Those organizations that embrace the data privacy regulations before they are required can use this as a competitive
A Winning Data Strategy: Capture It All and Keep It Governed
Even the most advanced analytics tools remain useless if they’re not fed a complete, well-governed set of user data.
When it Comes to Data in Retail: View Centrally, Manage Locally
Tying data to locations can help retailers meet granular local data privacy regulations and reduce global latencies to meet customer performance
The Ethics of Analytics: Answering the ‘Should We’ Question
Perhaps the time has come to define a set of ethics associated not with how the data is accessed or manipulated but with the purpose for which it is analyzed.
Real-Time Data Management Vital for New Compliance Rules
Data management will increasingly become a real-time endeavor for IT teams, not least because compliance rules are mandating as
The Invasion of Digitization: A Threat to User Data Privacy
Digitalization is, not surprisingly, driving up user data privacy concerns. Business need to take protective actions or regulators will step in. Increasingly, …
