The 2am Club: Own Your Night.

Waking up early has traditionally been put equal to being good, efficient, even heroic. Early risers have been praised in literature such as The 5am Club. One of the recommendations in that book is to go to bed at 10pm. Great, that’s the time when I am most creative. How about normalizing diversity in people’s biorhythms? For some, waking up at 5am is not even a challenge – they are programmed that way by nature. Then there are night owls like me. If I’d follow my body rhythm I’d probably wake up at noon and go to bed at 4am. I am an involuntary 5am club member though, as in my daily job my day often starts at 5am due to the time difference between California and our headquarters in Stockholm. My colleagues know: at 5am I may look awake but my brain is at 30% capacity. Moreover, when it gets exposed to the 5am torture it never reaches 100% that day. I found a life-hack to go for a nap when I’m done with the bulk of my morning meetings so that I look and feel like a human when I reach the office in the afternoon. My brain gets fooled by that restart and starts being creative again.

Photo by Chris Montgomery

In his epic TED Talk “Choice, Happiness and Spaghetti Sauce”, Malcom Gladwell said: “By embracing the diversity of human beings you will find your way to true happiness”. Our society has done a good job embracing gender, cultural, and age diversity, and even the diversity when it comes to our taste preferences (and monetized on that). Biorhythmic diversity has not received much attention though. Working nine to five has been a standard for many office workers in the past. Covid-19 forced many companies into mandatory remote work in the past that has now transformed into hybrid ways of working, where people get to spend part of the working week working remotely, and the rest from the office. Remote work opens opportunities to work across time zones, and time your days to optimize your biorhythmic efficiency.

Photo by Mikael Kristenson

Our society is made for early risers. Schools start early, and I feel the everyday suffering of my kids who inherited my night owl genes. My daughter’s morning ritual in order to wake up is pouring cold water on her face, among other things like multiple alarm clocks and shaking her heavily. Even that does not always help. At the same time, she rarely falls asleep before 2am.

Let’s give recognition to the night owls, who code, write, create, innovate, design and do their best job at their most efficient hours. Let’s not shame people who turn up at the office by 10am or later – they are probably doing what’s best for the employer they are working for – working when they are most efficient.

Photo by Jefferson Santos

The Lagom of AI Hype

“Lagom” is a Swedish term that doesn’t have a direct translation in English but roughly means “just the right amount” or “just enough.” It embodies the idea of moderation and balance in various aspects of life. It suggests not too much, not too little, but rather an optimal or suitable amount. 

Photo by Jen P.

Let’s talk about the current AI hype that is not directly lagom. Today, generative AI has sparked hype due to its impressive ability to create content like text, images, and music. People are fascinated by its creativity, potential applications across industries, and the possibility of disrupting traditional creative fields. Media coverage amplifies excitement, and while in recent years many people started identifying as AI experts, nowadays we mostly hear about generative AI.

Photo by Edwin Andrade

This hype is not new to AI. The history of AI is characterized by alternating waves of hype and skepticism, commonly known as “AI summers” and “AI winters”. Each wave begins with excitement and high expectations for AI’s potential to revolutionize various fields, driven by breakthroughs in technology and promising research findings. However, these periods of optimism are often followed by disappointment in the potential of new technology when progress fails to meet initial promises, leading to lowered interest known as an AI winter. Despite these AI winters, each cycle has contributed to the advancement of the field, as lessons learned during periods of skepticism have led to new approaches, innovations, and renewed enthusiasm in subsequent waves of AI development.

Any hype has pros and cons. On the positive side, hype can generate a lot of awareness and interest, driving investment and innovation in a particular area. It can catalyze research and development efforts, leading to breakthroughs and advancements that may not have been possible otherwise. Additionally, hype triggers excitement, mobilizing communities to explore new possibilities. However, hype can also create unrealistic expectations, leading to disappointment if the promised benefits fail to materialize. 

The introduction of AI in the telecom industry has been gaining speed in recent years. While early experiments and trials show great benefits in improved performance and resilience of the networks, all the way from rollout and operations to deeply embedded features in the heart of the radio access network, the speed of adoption is dependent on observability of systems, underlying AI infrastructures such as data lakes, and MLOps layer making sure the algorithms get refreshed as soon as they start drifting compared to reality. In other words, in the perfect world, where we can observe all the internal workings of the wireless communication system, one can see great benefits of AI, but the path of reaching full observability is not straightforward.

Photo by Mudit Agarwal

Implementing new technology too quickly can lead to various mistakes that can undermine the success of the initiative. Rushing into implementation without conducting thorough research and analysis can result in choosing a solution that doesn’t align with the organization’s needs or goals. In the worst case, organizations will face the need of making a U-turn, redesigning the whole system from scratch and losing substantial investments. Inadequate training and support for employees can lead to resistance and low adoption rates, hindering the technology’s effectiveness. Neglecting to consider scalability and integration with existing systems can lead to technical issues. Overlooking data security and privacy concerns can expose the organization to significant risks, including data breaches and regulatory violations.

Using AI hype in a smart way involves leveraging the excitement and attention surrounding AI to drive positive outcomes for the telecom industry. It’s important to focus on concrete practical applications of AI that address real business challenges and deliver value. Identifying specific use cases where AI can improve efficiency and resilience of the networks, enhance customer experiences, or drive innovation, is critical for telecom providers to ensure that AI ideas lead to action. In addition, it’s essential to invest in talent and infrastructure to support AI implementation. Building a team with expertise in AI technologies, can ensure that the organization has the capabilities to develop and deploy AI solutions successfully and sustainably. In the times of hype, let’s remember the words of the King: “A little less conversation, a little more action”.

Photo by JR Harris

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