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Hybrid Workspaces Decoded: Finding the Perfect Model and Management Software for Your Business
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Hybrid Workspaces Decoded: Finding the Perfect Model and Management Software for Your Business

Hybrid work models have allowed businesses to transition to the future of work. Booking of rooms and desks are difficult with these models when there is limited space. IT can tackle these difficulties by implementing hybrid work management software to allow for the efficient use of resources and boost productivity.
Mind your P’s against QC: Implementing Flexible Cryptographic Methods for Future-Proof Security
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Mind your P’s against QC: Implementing Flexible Cryptographic Methods for Future-Proof Security

Quantum computers have been an industry buzzword for quite some time. However, this revolutionary advancement in computing is quickly becoming a reality. Once here, these computers would have dire effects on current application security. Technology leaders should understand exactly how quantum computers would affect them and start taking proactive measures to mitigate their impact on their infrastructure and data security.
Enhancing Security and Flexibility: Navigating the Latest PCI DSS Updates for Cardholder Data Protection
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Enhancing Security and Flexibility: Navigating the Latest PCI DSS Updates for Cardholder Data Protection

The Payment Card Industry Data Security Standard (PCI DSS) has made significant changes to its requirements for safeguarding cardholder information. These changes represent a shift that increases the security of cardholder data within this ever-evolving threat landscape and provides more flexibility for organizations. Security leaders striving for PCI Compliance must ensure their teams are well-informed about the updates in this new release and understand its impact on their organization's payment security protocols and compliance obligations to maintain or achieve compliance.
Code Less, Deliver More: Harnessing Low-Code and No-Code for Efficient Software Development
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Code Less, Deliver More: Harnessing Low-Code and No-Code for Efficient Software Development

Small in-house IT teams can find it difficult to manage the software development process as business demands grow. This leads to a software feature backlogs that hinder business operations. No-code and low-code approaches can boost application development and reduce project timelines by providing quick feedback and modification of prototypes.
RAG Time: Tuning Into Cost-Effective LLM Adoption Strategies for SMEs
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RAG Time: Tuning Into Cost-Effective LLM Adoption Strategies for SMEs

Large language models (LLMs) have disrupted many industries and pushed businesses, including small and medium-sized enterprises (SMEs), to attempt AI application implementations. LLMs are fine-tuned on business data to handle a specific domain, but this process is too costly and resource intensive for SMEs. AI engineers can replace fine-tuning with a vector database, which acts as long-term memory and allows an LLM to use up-to-date business data.
Enhancing Software Quality Assurance with LLMs: The Influence of TestGen-LLM in Modern Testing Workflows
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Enhancing Software Quality Assurance with LLMs: The Influence of TestGen-LLM in Modern Testing Workflows

Testing code is crucial for software reliability, which can be ensured by meeting code coverage targets. Meta's TestGen-LLM, an advanced language model, improves test generation and coverage, enhancing software quality. Software Quality Assurance managers should add LLMs like TestGen-LLM to the QA process to boost test quality, efficiency, and software reliability.
Faux Data, Real Intelligence: Low-cost AI Model Training with Synthetic Datasets
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Faux Data, Real Intelligence: Low-cost AI Model Training with Synthetic Datasets

AI models require large amounts of data during the training phase, otherwise, models will be biased and perform poorly on given tasks. Although vendors sell datasets to remedy this, datasets are not available for all domains. IT teams tasked with AI responsibilities can use synthetic data generation to train AI models for data-scarce domains to create high-quality datasets on the cheap and fast-track AI model deployment.
Recognize the Restrictions of Frictionless Shopping & Self-Checkout
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Recognize the Restrictions of Frictionless Shopping & Self-Checkout

Frictionless shopping and self-checkout reshape how customers shop. These technologies are designed to allow customers to exit stores faster and reduce contact with employees. However, continued friction for customers and theft of goods are major drawbacks of these technologies. Businesses should proceed with caution and should not rush to implement frictionless shopping or self-checkout.
Model Quantization in Action: How SMEs Can Benefit From On-Device AI
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Model Quantization in Action: How SMEs Can Benefit From On-Device AI

AI mobile applications are becoming commonplace on smartphones but some mobile applications require models to reside on cloud servers for high accuracy and intensive inference. This is impractical for SMEs due to high model hosting and inference costs. Instead, an SME’s IT team should reduce costs by implementing edge AI using their mobile applications and model quantization.
Embracing Edge: The Role of Edge Data Centers in Today's Technological Landscape
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Embracing Edge: The Role of Edge Data Centers in Today's Technological Landscape

Edge data centers, which have been gaining popularity, strategically place small data centers where needed to reduce or eliminate the latency required for data processing. IT leaders in organizations with near real-time latency requirements should pay attention to the developments with edge data centers. Read this article to discover the potential of edge data centers to improve data strategies, application performance, and efficiency.

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