MeshU Cloud Camp

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Reuven Cohen is the founder and chief technologist of Enomaly Inc, having developed over 500 websites in the last 12 years. He has extensive experience in web application development and scaling. Cloud computing refers to on-demand access to computing resources that can be rapidly provisioned and released with minimal management effort. It includes infrastructure, platform and software as services that are scalable and billed based on usage. While cloud computing provides benefits like cost savings and flexibility, enterprises have challenges around control, security, integration and lack of management tools.

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On Wednesday September 24th, I hosted the first ever Cloud Computing Interoperability Forum at Orange Labs in South San Francisco. The event sponsored by Intel, Orange / France Telecom and Enomaly was a one-day meeting of major stakeholders active in cloud computing with an interest in the creation of cloud standardization and interoperability. The forum's goal was to define an organization that would enable interoperable enterprise-class cloud computing platforms through application integration and stakeholder cooperation.

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Alta is a cloud-based application delivery platform designed to enable enterprises to deliver all of their web-based applications in a fast, reliable, secure, and cost-effective way to any user on any device, anywhere in the world. Alta empowers enterprises to overcome the challenges related to delivering their applications over the Internet by placing all of the application delivery capabilities within the Akamai Intelligent Platform™, which means the optimizations are distributed globally and located closer to users and data centers, wherever they are. Akamai's unique cloud-based architecture also means that applications can be seamlessly migrated across data centers or clouds at will, and the application delivery optimizations will automatically move with the application. Visit us to learn more: http://www.akamai.com/html/solutions/application-delivery-platform.html

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cloud computing is a processing that includes a huge number of computer systems linked through a interaction system such as the Internet, similar to application processing.In technology, reasoning processing is a replacements for allocated processing over a system, and means the ability to run a program or application on many linked computer systems at the same time. Network-based services, which appear to be offered by actual server components and are in fact offered up by exclusive components simulated by software running on one or more actual devices, are often called reasoning processing. Such exclusive web servers do not actually are available and can therefore be shifted around and scaly up or down on the fly without impacting the end user, somewhat like a reasoning becoming bigger or more compact without being a physical item. More Details Visit us:http://garudatrainings.com/cloud-computing-online-training GarudaTrainings offer: ·Web testing project. ·Resume builder project. ·Testing Printers/drivers. ·Posting resumes. ·Mock interviews. ·Hands on training. ·On job support. Register For A Free DEMO: www.GarudaTrainngs.com Ph No:508-841-6144 Email:garudatrainings@gmail.com

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It’s no secret that companies are producing more data than ever before, while under pressure to determine how to most effectively use it. As a result, most companies are now moving towards streaming first data architectures – helping their businesses to gain insights from these large data volumes as they happen. Creating streaming first data architectures can seem like an overwhelming prospect to many and that is why it’s important to understand the key components needed to make sure the architectures you build for your business are future-proof. View this webcast on-demand to: • Learn how data delivery, performance, and scalability play key roles streaming first architecture success • Understand the best ways to enforce metadata across the data pipeline • Examine the strategies of how Syncsort customers have implemented best practices for streaming first architectures • Learn how Syncsort Connect solutions can help your business implement a streaming first data architecture

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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