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The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

What is SharePoint REST API? Explained for Beginners

The SharePoint REST API is a powerful tool that allows developers to interact with SharePoint data and resources remotely. Whether you’re managing documents, configuring sites, or building custom applications, the REST API provides a flexible, efficient way to programmatically access and manipulate data within a SharePoint environment.

Cribl Copilot: Lets You Bypass the Learning Curve

Think of it as your digital concierge to achieve faster time-to-value IT and security teams face more challenges than ever, with data growing at 28% CAGR and taking numerous shapes and forms. Cribl’s suite of products – Stream, Edge, Search, and Lake – is built on a unified data processing engine specifically designed for IT and security data.

Machine Learning Inference Model at Scale with Graviton

Sharpen your machine learning knowledge with our upcoming virtual event, "Machine Learning Model Inference at Scale with Graviton." In collaboration between 2bcloud and Amazon Web Services (AWS), this event will provide you with a comprehensive, step-by-step tutorial on setting up a high-performance and cost-optimized machine learning inference environment, using Graviton processors.

AI in Telecommunications: Opportunities, Challenges, and the Role of Resolve

Artificial Intelligence (AI) is rapidly becoming an essential component of the telecommunications industry, driving significant changes in how networks are managed, optimized, and maintained. With the growing complexity of telecom networks, coupled with the rising demand for seamless connectivity, AI offers a range of solutions to address these challenges. From predictive maintenance and network optimization to enhancing customer service, AI is poised to transform telecom operations.

Harness GenAI to enhance IT incident management

Advances in generative AI are rapidly transforming the IT operations landscape. According to Enterprise Strategy Group, 85% of organizations use or plan to deploy AI across many functional areas, including ITOps. AIOps platforms can apply advanced GenAI to quickly identify an incident’s root cause, impact, and recommend steps to resolution. When fed the correct information, AIOps gives IT teams immediate access to context-rich insights.

Navigating Open Source Software: All Your Questions Answered

Open source software refers to computer programs with source code available for anyone to inspect, modify, and distribute. Unlike proprietary software, open source software is developed collaboratively by a community of developers. One of the main benefits of open source software is cost savings. Because the source code is freely available, organizations can use and customize the software without paying licensing fees, reducing costs, especially for large-scale deployments.

Beyond RAG basics: Advanced strategies for AI applications

Our recent virtual event with Cohere dove deep into the world of retrieval augmented generation (RAG), focusing on the critical considerations for building RAG applications beyond the proof-of-concept stage. Our speakers, Lily Adler, principal solutions architect at Elastic, and Maxime Voisin, senior product manager at Cohere, shared valuable insights on the challenges, solutions, and best practices in this evolving field of natural language processing (NLP).

Laptops vs Monitors and iPads: Choosing the Right Device for Your Needs

The debate over laptops, monitors, and iPads is significant for anyone looking to optimize their tech setup. Each device offers unique advantages depending on the user's needs. For those prioritizing portability, tablets like iPads excel, while larger monitors provide an immersive viewing experience ideal for productivity.
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Traffic-Driven Testing: All the Benefits of Shift-Right Testing with None of the Risk

The shift-right testing approach moves testing to later in your production cycle. Also known as "testing in production," with shift-right, you test software after it has been deployed. It gives you continuous feedback based on real-world user interactions. However, there are major drawbacks to the approach. For example, testing in production risks disrupting your user satisfaction and can mean you catch issues too late to respond to them effectively. It can also be difficult to test problems related to scale and traffic volume. Your tests are also difficult to repeat under the same conditions.