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On-demand delivery of video content over broadband will undoubtedly be one of the most disruptive changes in the television industry over the next decade, with widereaching ramifications across the media, telecoms and technology industries. In this article, we discuss the likely impact of VOD on viewing patterns, advertising spend, and business models, and explore the key issues for the many stakeholders in the VOD value chain. By Tabitha Elwes, partners, and Kim Chua, manager of Value Partners, London.
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On-demand delivery of video content over broadband will undoubtedly be one of the most disruptive changes in the television industry over the next decade, with widereaching ramifications across the media, telecoms and technology industries. In this article, two Value Partners Management Consulting professionals discuss the likely impact of VOD on viewing patterns, advertising spend, and business models, and explore the key issues for the many stakeholders in the VOD value chain.
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In this guide, we discuss encoding options to simplifying output renditions and improve flexibility, dynamically generating playlists with HLS and Smooth Streaming protocols and concatenating video using manifest files. The ultimate result it
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On-demand delivery of video content over broadband will undoubtedly be one of the most disruptive changes in the television industry over the next decade, with widereaching ramifications across the media, telecoms and technology industries. In this article, we discuss the likely impact of VOD on viewing patterns, advertising spend, and business models, and explore the key issues for the many stakeholders in the VOD value chain. By Tabitha Elwes, partners, and Kim Chua, manager of Value Partners, London.
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Many educational institutions need to upgrade the systems used to deliver video content to classrooms, either to replace aging technologies or to support a greater range of content and viewing devices. IPTV networks, particularly those based on newly available technologies, offer significant video quality improvements and provide a unified user interface for live, pre-recorded, on-demand, and Internet-sourced video. IPTV systems can be installed incrementally as an overlay to an existing network, or can be deployed as complete replacements of an existing system. Recent cost reductions, particularly in key software and server components, have now made IPTV technology affordable for virtually any school system.
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Explore the leading Large Language Models (LLMs) and their capabilities with a comprehensive evaluation. Dive into their performance, architecture, and applications to gain insights into the state-of-the-art in natural language processing. Discover which LLM best suits your needs and stay ahead in the world of AI-driven language understanding.
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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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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
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Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
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