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The Treasure is in the Data - How Three International Brands Found Marketing Gold. Alice Donaldson from Exponential, presented this deck at iMedia Brand Summits, Asia. #imbsummit

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What is a goal-based marketing approach? With all the confusing literature on programmatic advertising, its associated technologies and acronyms, brand marketers are bound to be bewildered and concerned on how programmatic can improve their business and achieve results. In this presentation, Matt Ware will discuss an approach framework that helps you focus on kickstarting your programmatic practice and deliver true revenue and business outcomes.

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9GAG, Reddit, Know Your Meme. One doesn’t need to look very far to find someone talking smack about Internet Explorer. Even as the product matured and improved over the years, Internet Explorer still suffers from negative brand perception, especially among web enthusiasts and younger generation netizens. It is truly, the browser you love to hate. Find out how the Internet Explorer marketing team used Japanese anime to successfully launch an “out-of-the-box” marketing campaign that went viral globally, and helped reverse the perception among web enthusiasts towards the Internet Explorer web browser. Understand the power of leveraging authenticity in marketing to your audience, and how a genuine voice can help you reconnect with your fans.

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In this short presentation, Masaya will give an overview of Rakuten, how Japan’s biggest eCommerce company took on the global market, and particularly how it has grown in Asia. He will cover recent strategic acquisitions that propelled Rakuten to not only be an eCommerce service but how it fits into a merchants eco-system. Finally, Masaya will share upcoming Rakuten strategy for keeping the business as successful as it is (if not more).

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Nowadays, consumers are in control! Consumers demand (and deserve) consistent communications from brands across all multiple channels that are highly relevant to them as unique individuals. The digital marketing ecosystem is complex though and there are huge amounts of customer data that are growing every day when your customers interacting with your brand on various digital channels. At the same time, marketers need to deliver hard ROI and hit revenue goals. When revenue is lower than expected, we blast more messages to drive transactions, bombarding clients with more emails, more ads, more promotions via more channels. This results in a fragmented customer experience and more irrelevant touch points with brands rather than creating a customer-centric experience. Hear how you can be more relevant and consistent in your messaging, how you can still communicate at scale while customizing and tailoring all your messages to every single potential customer. Find out in 10 minutes the basics of how you can unify your customer data and optimize your marketing execution with true cross-channel marketing automation.

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In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

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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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