CIO
JANUARY 30, 2025
As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. Data masking for enhanced security and privacy Data masking has emerged as a critical pillar of modern data management strategies, addressing privacy and compliance concerns.
CIO
MARCH 18, 2025
Traditional security approaches have become unsustainable for technology leaders navigating todays complex threat landscape. Information risk management is no longer a checkpoint at the end of development but must be woven throughout the entire software delivery lifecycle.
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CIO
JANUARY 14, 2025
The gap between emerging technological capabilities and workforce skills is widening, and traditional approaches such as hiring specialized professionals or offering occasional training are no longer sufficient as they often lack the scalability and adaptability needed for long-term success. Take cybersecurity, for example.
CIO
DECEMBER 30, 2024
Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance. As digital transformation accelerates, so do the risks associated with cybersecurity.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
CIO
OCTOBER 15, 2024
This process includes establishing core principles such as agility, scalability, security, and customer centricity. For example, a company aiming for market expansion might focus on developing scalable infrastructure, enabling application localization, and enhancing security measures to support operations in new regions.
Palo Alto Networks
DECEMBER 24, 2024
However, it is also becoming a powerful tool for cybercriminals, raising the stakes for OT security. While 74% of OT attacks originate from IT, with ransomware being the top concern, AI is accelerating the sophistication, scalability and speed of these threats. OT environments, however, face unique challenges.
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Understanding your data security needs is tough enough, but what can be even more difficult is choosing the right software to fit your company. User authentication and advanced security factors. Flexibility and scalability. Fortunately, there is a solution. Key management system. Enterprise features.
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Hear from Product Managers across a variety of industries on what they see as most important for ensuring mobile reliability, and gain a better understanding of what it takes to build scalable and secure mobile apps.
Advertiser: Data Robot
Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?
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Apache Cassandra is an open-source distributed database that boasts an architecture that delivers high scalability, near 100% availability, and powerful read-and-write performance required for many data-heavy use cases. Overlooking Security Considerations. Managing Delete Heavy Workloads. Running Unoptimized Queries.
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Share data and insights securely. Ensure the solution is built on scalable, cost effective infrastructure. However, in order to successfully expose analytics to customers and partners, companies are faced with three main challenges: Manage complex data (big and disparate datasets) quickly.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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