It’s no secret that Slack has taken the corporate world by storm. This successful collaboration app has managed to find a home in the offices and laptops of startups and multinational companies thanks to its intuitive, chat-based functionality. However, today’s highly fluid, complex, and remote workforce requires more than just chat-based collaboration—it needs native integration with crucial productivity apps, as well as a secure, flexible document repository that enables multi-team and project cooperation. This is where Microsoft Teams excels.

In this article, you’ll learn the competitive advantages of Teams over competing tools, and how Microsoft CEO Satya Nadella and Office 365 corporate vice president Kirk Koenigsbauer have learned from industry pain points to create a fully integrated, holistic collaboration software solution that is empowering companies to scale and expand across the world.

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“Why are my customers not listening to me?” is a question frequently asked by frustrated marketers and decision-makers. To address this question, author Carly Driscoll asks two crucial follow-ups: do you truly know who your customers are, and are you really delivering them an impactful message? At first glance it may seem intuitive or even simple, but successfully answering these questions requires a marketer to truly empathize with their audience—a task much easier said than done. Fortunately, there’s a time-proven way to not only interest your customers, but also convert leads into revenue-generating relationships that will drive growth and brand prestige: great content. In this eye-opening article, you’ll learn about the successful R.I.D.E. methodology for content creation, and how to effectively inform your customers with solid content marketing at each stage of the buying process.

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As societies and workplaces become more digitized, our culture does, too. This daily interaction with technology engenders fascination and speculation about the role devices and technological advancements will play in our societies’ future. Some—if not most— of these assumptions are based on artistic portrayals of the future of technologies such as artificial intelligence (AI), and they are often far from providing an accurate representation of what actually awaits us in the realm of AI and machine learning.

Read this article to uncover the truth behind 12 misconceptions about AI and get a more accurate view of the present and future capabilities of this technology.

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Today’s diverse and intergenerational workforce is most productive when it has adequate channels to collaborate in a seamless and effective way. There’s a catch, however: teams are far more diverse and remote than ever before, and each organization requires its own distinct approach to digital collaboration. In other words, your workplace tools and applications must be customized based on your teams’ diversity, location, and work methods.

With this infographic, you’ll learn about the three main characteristics that define our modern workplace and gain insight into what drives productivity and efficiency in today’s organizations. After reading it, you’ll have a better understanding of current trends and can keep these in mind when creating or modifying your organization’s work environment.

View: 3 characteristics that define the modern workplace

Digital transformation has enabled businesses to reduce costs, streamline operations, embrace entirely new business models, and discover untapped revenue channels. Many of these benefits come from implementing data-driven technologies, including machine learning (ML) and artificial intelligence (AI), that transform the increasing amounts of data produced by today’s organizations into useful insights that can foster new strategies. Despite the massive potential of these technologies, only 37 percent of businesses that adopt them report successful initiatives.

In this infographic, you’ll learn about the main challenges that modern organizations face in implementing AI and ML, and how you can overcome them by using Microsoft Azure AI.

View: The main challenges of advanced analytics