Two years later, on September 7, 2023, Verizon officially launched their Private 5G network, Verizon's Managed Private Wireless Solution, across all 30 NFL stadiums for the 2023 season. The Managed Private Wireless solution underwent an initial pilot during all five international NFL games in the 2022 season, encompassing the deployment and management of private wireless technology, testing and coordination, and in-game operational support, persisting through the 2023 pre-season. Verizon's Private Wireless network provided on-field, full in-game support for coach-to-coach communications. According to Kyle Malady, CEO of Verizon Business, "In every NFL stadium, coach-to-coach communications will run on a dedicated Managed Private Wireless Solution." The introduction of this solution in NFL stadiums for the 2023 season was lauded by Gary Brantley, Chief Information Officer at the NFL, as a "significant milestone" in the collaboration between Verizon Business and the NFL, affirming the commitment to enhancing and innovating the in-stadium experience. How would the NFL navigate the challenges and opportunities presented by this technological leap? Adopting a Private 5G network introduced a multifaceted dilemma, forcing the NFL to weigh the potential benefits against the risks and uncertainties associated with this initiative. As the NFL navigated the balance between enhancing fan engagement and managing the intricacies of technology adoption and network management, it created a narrative that demanded exploration. The decisions made by the NFL in this context would not only influence the in-stadium experience but also have far-reaching implications for the future of sports broadcasting and fan interaction. Did the NFL correctly navigate its intricate web of challenges and decisions faced by the league and member clubs? Did the NFL correctly unravel the complexities and strategic considerations at the intersection of sports, technology, and fan expectations?

In the late 2010's, 5G emerged as a new standard in communication technology. 5G was designed to enable ultra-reliable low-latency communications (URLLC), massive machine-type communication (MMTC), and enhanced mobile broadband (EMBB) (see Exhibit 1 for a detailed explanation), all while reducing power consumption by 90%. Whereas previous generations of mobile standards such as 2G, 3G, and 4G were deployed by mobile network operators (MNOs) such as AT&T and Verizon and provided broad coverage, the emergence of 5G technology saw the emergence of organizations building their own private 5G networks to provide coverage for a specific building or area.

Two of the most important computer science principles in the technology industry are abstraction and platformization. Our aim with this note is to explain these concepts in an approachable way that brings managers and computer scientists a little closer together.

By 2023, the global market for cloud infrastructure had consolidated into a three-horse race. As of Q4 2022, Amazon, Microsoft, and Google collectively accounted for 66% of the global market. AWS had a market share of 33%, Microsoft Azure had 23%, and Google Cloud had 11%. The global market for cloud services, valued at over $550 billion in 2023, was projected to grow at an annual rate of 15-20%, reaching over 2 billion by 2030. Though the growing demand for cloud services was a reassuring tailwind for Microsoft, the emergence of multicloud approaches in enterprise, the relentless price-pressure from competitors, and the threat of further commodification presented a wholly new set of challenges for Microsoft Azure. As the opportunities and threats of the multicloud future became clearer, Microsoft needed a multicloud strategy.

Spreadsheet supplement for case 723418.

This case covers Ripple's events from 2020-2023. The focus of this case is Ripple's 2023 victory over the SEC, which sued Ripple in 2020 claiming that they did not register their XRP coins as securities. After Ripple's victory, CEO Garlinghouse faced numerous decisions, including whether to invest other companies to building out the crypto ecosystem, launch a stablecoin (as several crypto companies had done), and whether he should take a leadership position on government policies on crypto or remain in the background.

Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are examples of the image-generating variety. During training, a generative AI learns the underlying structure of the desired output by absorbing a mass of relevant data - all of the books in the public domain, for example, or petabytes of text scraped from across the internet. Once trained, generative AIs work by creating outputs that recreate, with calculated variation, the underlying patterns learned in training. In 2023, all these types of generative AI were created in a similar process. At the core of any generative AI system is the model, a mathematical representation of patterns that forms the basis of 'knowledge' for the system. The structure of the model is determined by its architecture, the theoretical organization of parameters in an artificial neural networks that the system uses to generate its outputs. To learn, the model relies on a mountain of training data, a collection of examples relevant to the task the model is being trained to perform. During an initial pre-training process, the model learns to adjust its parameter-weights (assumed by the architecture), improving its prediction quality with many iterations over time; that model is further refined through a fine-tuning process. Training an AI system requires specialized hardware, like GPUs in data centers, that consume enormous amounts of electricity to handle heavy and massively-parallel computational loads.

In February 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI. Over a year ago, OpenAI released ChatGPT, a text-generating chatbot that captured widespread attention. OpenAI would offer a range of new generative AI products as both user-facing applications and developer-facing application programing interfaces (APIs). In January 2023, Microsoft and OpenAI signed a $10 billion deal extending their exclusive partnership. Microsoft would continue to supply OpenAI with seemingly unlimited computing power from its Azure cloud, and Microsoft hoped that OpenAI's technology and brand would keep Microsoft at the center of the new generative AI boom. Microsoft announced that it would soon begin deploying OpenAI's technologies throughout its suite of products, from its Microsoft 365 productivity apps to its search engine Bing. Google needed to decide how to respond to the threat posed by OpenAI and Microsoft. Google had a decade of experience developing and deploying AI and machine learning (ML) technologies in its products, but much of their AI work happened in-house and behind the scenes. Google researchers had invented the transformer architecture that made the generative breakthroughs demonstrated by GPT possible. Breakthroughs in AI had been quietly supercharging Google products like Search and Ads for years, but most of the product work was internal and little of it had penetrated the public consciousness. Until 2022, Google leadership had been deliberately cautious about revealing the extent of their AI progress and opening Google's experimental AI tools to the public.

In 2023, the term metaverse - a combination of "meta" and "universe" - had become a catch-all for a diverse set of expectations about online virtual worlds and the future of the internet. To some, the metaverse conjured images of a massive participatory videogame inspired by science fiction. To others, the metaverse meant the evolution of the internet into something more three-dimensional and social. In October 2021, Facebook CEO Mark Zuckerberg announced that his strategy would be "metaverse-first," leading him to change Facebook's name to Meta. However, executives at other companies like Epic Games, Microsoft, Nvidia, Electronic Arts, and Apple had different views of if, when, and how the metaverse would take shape. Amid the hype and uncertainty, executives and entrepreneurs had to grapple with critical questions as they strove to form their own vision and strategy for the metaverse. First, was the metaverse going to emerge in the next few years or much further down the road, if at all? Second, what would be the important use cases? Some expected gaming to emerge first, while others expected enterprises would drive adoption. Third, and perhaps most critically, would the metaverse be an open and interoperable virtual world, like the internet itself? Or would the development of the metaverse play out like the more recent models of app stores and social networks, born on the internet but maintained as distinct walled gardens? Answers to these questions would shape billions of dollars of investment, profits, and losses.

Late afternoon on Friday, October 27th, 2022, Elon Musk was the center of attention at Twitter's San Francisco headquarters. The night before, Musk officially took the company private and became Twitter's majority shareholder, finally ending a months-long acquisition saga. He appointed himself CEO and brought in his own team to clean house. He now needed to decide on short-term actions and a long-term strategy to turnaround the company. In the immediate days and weeks, Musk needed to take decisive steps to succeed against the major opposition to his leadership from both inside and outside the company. Twitter employees circulated an open letter protesting expected layoffs, where they called him "reckless," "unfair," and "impulsive." Advertising agencies advised their clients to pause spending on Twitter, and some threatened to leave. EU officials considered a broader Twitter ban should Twitter not abide by their moderation policies.

In business and strategy contexts, network effects are often accompanied by bandwagon (or herding) effects, positive feedback loops (or accumulated advantage effects), and market tipping (or winner-take-all dynamics). Though these phenomena are often grouped together under the general use of the term "network effects," this note aims to distinguish the core notion of network effects from the related phenomena that interact and often co-occur.

In 2022, Cher Wang, CEO and Chairwoman of HTC, was focused on the company's pivot to virtual reality and the metaverse. Growing competition in consumer virtual reality from Meta, Sony, and Chinese headset manufacturers had altered the competitive landscape since 2017. This supplement updates the case "HTC and Virtual Reality" (718-421).

Applied Intuition, a leader in autonomous vehicle simulation software, has just closed on a $175 million round of Series D financing that values the four-year-old firm at $3.6 billion. With the immediate future secure, CEO Qasar Younis must now chart a strategic course for Applied Intuition's growth over the next ten years.

New research shows that the more projects company builders have under their belts, the worse they are at anticipating delays.

Founded by Mosunmola "Mo" Abudu in 2012 with a mission to bring high-quality African stories to the world, EbonyLife was the company behind many of Nigeria's biggest films and TV shows. The company began as a television channel on the Africa-wide direct broadcast satellite service DStv. By 2020, EbonyLife had produced over 5,000 hours of television content and Nigeria's top-three highest-grossing movies. With a need for greater control over its production schedules and following the end of its relationship with DStv EbonyLife launched EbonyLife ON (EL ON), an on-demand streaming service. However, EbonyLife struggled to grow its subscribers of EL ON. Abudu started to rethink whether to continue fighting to grow EL ON. Should EbonyLife focus instead on co-production deals with international media distributors such as Netflix, Sony and AMC?

In June 2021, Zoom executives prepared for competition in the post-pandemic world. Zoom's breakthrough success in the previous year put the company in a position to set up many new opportunities going forward. At the same time, its success attracted competitors like Microsoft who pushed hard on its competing Teams offering.

Wearable electronics were endpoint devices designed to be worn, sense the human body and interact with the environment around the wearer, connecting humans to the Internet of Things. Wearable technology received a great deal of attention in the past decade and reached a peak state of hype in 2015. After 2015, there was increased doubt in the future of the technology after early product releases were underwhelming. Wearables in 2020 provides an in-depth analysis of wearable development in recent years across eight different form factors.