Case Study: Balancing MLOps Innovation with Tough Security Standards

As AI adoption has grown, so too have concerns about data protection and infrastructure security across the MLOps lifecycle. At GTS Data Processing, a rapidly growing German IT company, security is top of mind as they deliver Infrastructure-as-a-Service and Software-as-a-Service platforms to companies across Europe. GTS’ DSready Cloud offering, powered by Domino® and hosted in Germany, brings together the tools, technologies, compute, and collaboration capabilities its clients need to deliver and manage data science capabilities at scale—all within a GDPR-compliant environment that supports Germany’s stringent security standards.

Balancing MLOps Innovation with Tough Security Standards

As AI adoption has grown, so too have concerns about data protection and infrastructure security across the MLOps lifecycle. At GTS Data Processing, a rapidly growing German IT company, security is top of mind as they deliver Infrastructure-as-a-Service and Software-as-a-Service platforms to companies across Europe. GTS’ DSready Cloud offering, powered by Domino® and hosted in Germany, brings together the tools, technologies, compute, and
collaboration capabilities its clients need to deliver and manage data science capabilities at scale—all within a GDPR-compliant environment that supports Germany’s stringent security
standards.

Everything you need to know about Ransomware

[Sponsored Post] Ransomware is indeed one of the most significant security concerns on the internet and one of the most prominent forms of cyber threats that organizations face today. File and document encryption is performed by this malicious software, affecting anything from a single PC to an entire network of computers, including servers. Criminals behind ransomware often leave victims with only two options: pay a ransom or restore from backups.

insideAI News Guide to Big Data for Finance

The goal for this insideAI News technology guide, sponsored by Dell Technologies, is to provide direction for enterprise  thought leaders on ways of leveraging big `data technologies in support of analytics  proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate: (i) Retail Banking; (ii) Regulatory and Compliance, (iii) Algorithmic Trading; and (iv) Security Considerations.

Nearly 7 in 10 SMBs Interested in AI are Unaware of Security Risks

From inventory management, data analytics, office assistance and more, AI can take on a massive role, even within the smallest businesses. Email leader Zix-AppRiver’s Q4 2019 CyberThreat Index for Business Survey revealed that education around AI is necessary prior to widespread implementation amongt small-to-medium sized businesses.

How Big Data Keeps Businesses Secure

In this contributed article, Magnolia Potter discusses how big data has become almost ubiquitous in the world of business. From supply chain and inventory management to HR processes like hiring, big data has proven itself to be a valuable tool. However, big data can do much more than simply improve how a business conducts its operations; it can protect businesses from a huge variety of threats when used properly.

Anatomy of a Fraudster – How Bad Actors Are Outsmarting Conventional Prevention

In this contributed article, Ting-Fang Yen, Director of Research at DataVisor, believes the future of fraud detection comes from the evolution of machine learning with a focus on unsupervised machine learning. Don’t sit by thinking that the old methods of fraud detection are sufficient for your organization. Fraud is becoming ever more sophisticated. If you are just keeping up, you are already behind.

CryptoNumerics Announces CN-Protect for Data Science Python Library

CryptoNumerics , a Toronto-based enterprise software company, announced the launch of CN-Protect for Data Science which enables data scientists to implement state-of-the-art privacy protection, such as differential privacy, directly into their data science stack while maintaining analytical value.

At the Crossroads of Compromise: The Problem of Data Security

In this contributed article, Farhan Javed, Co-founder and Corporate Development Lead for Inkrypt, discusses the severity of the threats that data breaches pose to all online systems, what precautions need to be taken in order to mitigate attacks, and the compromises that need to be made between customer and company to ensure airtight security for all.

Arcadia Data Simplifies Security for Native Visual Analytics on Big Data

Arcadia Data, provider of the native visual analytics software for big data, has extended support for a unified security and management solution native to Apache Hadoop that includes certified integration with Apache Ranger. This announcement continues the company’s security strategy after the in-cluster security solution announced last year that enhanced its capabilities to deliver secure data directly in Hadoop, cloud, and other modern data platforms without sacrificing granular access control, overcoming the complexities of extraction, data movement and fragmented permission models inherent to legacy BI and analytics architectures that run outside of Hadoop.