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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.

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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.

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How to Manage Risk with Modern Data Architectures

Cloudera

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

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Five Ways A Modern Data Architecture Can Reduce Costs in Telco

Cloudera

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. Simplify, and where possible, automate governance. Most telcos rely on legacy applications that create data silos and limit interoperability.

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Pillars of Knowledge, Best Practices for Data Governance

Cloudera

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. Data governance has always required a combination of people, processes and technology to work.

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Impact of Custom Medical Software on Healthcare

The Crazy Programmer

As value-based care and preventative health continue gaining momentum, healthcare providers need agile tools to manage population health, enable precision medicine, and meet stringent regulatory compliance requirements. Healthcare and government agencies tap custom development for specialized population data analysis needs across programs.

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Cybersecurity Snapshot: 6 Best Practices for Implementing AI Securely and Ethically

Tenable

But how can you ensure you use it securely, responsibly, ethically and in compliance with regulations? governments) “ Secure Software Development Practices for Generative AI and Dual-Use Foundation Models ” (NIST) 2- Prevent data leakage and establish clear guidelines on privacy standards AI operates by analyzing vast amounts of data.