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There is one other valuable ingredient to effective collaboration: reflection. The perception may be that reflection is a solo endeavor, but many teams have found it valuable to employ in group settings. Managers can stimulate the thinking process by posing key questions for the group to reflect upon in silence and then discuss openly.":1,"#Focus on team. Few things will get done without individuals pooling together. A manager can reinforce collaboration by making it known that individuals must coordinate with one another as well as cooperate too. Sometimes, this means that people will pitch in to help a teammate finish a task when their own work is finished.":1,"#Encourage individualism. The secret to effective collaboration is individual contribution. When people think alike, they shut out alternate viewpoints. True collaboration weighs individual ideas and balances them with what the project needs. In short, teammates build upon the contribution of one another to achieve team goals.":1,"#Affirm the purpose. The central organizing principle of our project is the “why.” It’s up to managers to let people know how the team is doing, contributes to organizational success.":1,"#The challenge for leaders is to balance individual needs with team directives. The secret to effective collaboration really is individuality. Here are 4 steps to foster true collaboration for each contributor.":1,"#We expect everyone here to be team players. You know, most of us have had a boss who preach teamwork. Some bosses even like to put up posters with slogans like “There is no ‘I’ in team.” Teamwork is essential to organizational success, but you know, too much teamwork can be deadly. That’s the point that Susan Cain, author of <em ljsid-1=\"\">Quiet: The Power of Introverts in A World That Can’t Stop Talking,</em> argues in an essay for the <em ljsid-3=\"\">New York Times</em>. She points out that drawbacks of too much teaming: quoting her, “Research strongly suggests that people are more creative when they enjoy privacy and freedom from interruption.”":1,"#We expect everyone here to be team players. You know, most of us have had a boss who preach teamwork. Some bosses even like to put up posters with slogans like “There is no ‘I’ in team.” Teamwork is essential to organizational success, but you know, too much teamwork can be deadly. That’s the point that Susan Cain, author of <em ljsid-1=\"\">Quiet: The Power of Introverts in A World That Can’t Stop Talking,</em> argues in an essay for the <em ljsid-3=\"\">New York Times</em>. She points out that drawbacks of too much teaming: quoting her, “Research strongly suggests that people are more creative...":1,"#After being falsely charged with theft and, later, held at gunpoint during an armed robbery, Matthew Dicks wakes every day with feelings of dread. He worries that if today is his last day on earth, he’ll regret that he didn’t make the most of his time and be overwhelmed by all that he didn’t achieve. Rather than letting his fears consume him, Dicks created a simple strategy that’s changed how he lives his life. In Someday Is Today, he sums up his One-Hundred-Year-Old Plan and offers 22 changes you can make today to live happily, purposely, and productively.":1,"#Most of us are pressed for time because we don’t know how to stop the treadmill of our lives. If you’re one of millions of multitaskers who crams as much into every workday as possible but still falls short of meeting goals, you need new strategies to use time more effectively. In The 1 Day Refund, Donna McGeorge shows you how to recover up to a full day each week to help develop your business. This book is for anyone who wants to gain more by doing less.":1,"#The 1 Day Refund":1,"#You don’t need to put in long hours at work to become rich. In The 6-Minute Work Day, Douglas Vermeeren details how you can generate income streams that will enable you to work only six minutes per day, leaving you time and energy to enjoy your life. Vermeeren’s actionable advice shows how much you can do in six minutes, how you can start an income-generating business, how to keep it going, and how you can find a leader to keep it profitable while you enjoy your six-minute day.":1,"#The 6-Minute Work Day":1,"#60 seconds is all it takes to grab a person's attention and get through to him or her. Dr. Betty Uribe gives an example how she got people in the White House and the Pentagon to write in her book.":1,"#60-Second Rule: Getting Through to Anyone":1,"#There’s no one right way to lead, but there are many wrong ways. In the fifth edition of The New Leader’s 100 Day Action Plan, George B. Bradt, Jayme A. Check, and John A. Lawler outline a reliable process for leaders to get a head start, manage the right message from day one, and build a successful team of high performers who deliver results. When you align stakeholders around a shared purpose, you create a culture that enables and empowers others to succeed.":1,"#The New Leader's 100-Day Action Plan":1,"#188 Results found for <span ljsid-1=\"\">\"90 DIAS\"</span>":1,"#Loading chunk 918 failed. (timeout: https://accel.ebscolearning.com/MFE-Content-Navigation-Product/918.4c277c374fb3ed28e5b3.js) while loading \"./Footer\" from 8944":1,"#The art of talking and having a great conversation is truly the art of understanding the concept of a dialogue. Bruce Lee said that the true mastery of martial arts was the art of fighting without fighting. In your next conversation, see if you can identify which tones are used, which words move the conversation forward, and which words cause it to stall.":1,"#The Art of Talking Without Talking (2023)":1,"#An interview with Andrea Jung, chief executive officer (CEO) of Avon Products. Topics discussed include her views regarding need for talent development for reaching organizational goals; emphasis over the enhancement of communication and education being an chief talent development officer; and her suggestions to women and several organization for their success.":1,"#A View from the Top":1,"#The article discusses active listening as a leadership skill that can be used to increase business success. According to the article, 360-degree assessments sometimes indicate that employees believe their supervisors should develop better listening skills. The article states that listeners remain quiet when conversing with others, demonstrate respect, and challenge assumptions. The author describes his experiences developing listening skills and recommends asking clarifying questions and maintaining eye contact with conversation partners. INSET: Listen Like a Woman.":1,"#149 Results found for <span ljsid-1=\"\">\"singing\"</span>":1,"#In today’s fast-paced and high-stress business world, people try to use multitasking to claw away at their mountains of tasks and responsibilities. Scientific research, however, clearly demonstrates that multitasking decreases productivity as the mind is stretched between two tasks. In Singletasking, Devora Zack shows that focusing on one task at a time is the key to increased productivity. Singletasking is the most efficient and effective way to work. Even so, singletasking is rare in the business world and requires immense intentional effort.":1,"#In this article, the author shares the four steps that contributed to his business organization's success. The author emphasizes on the need to listen to employees when arrives in a new organization, an advice offered by former city manager Frank Benest. He emphasizes how one need to demonstrate to the employees that he has heard them out and that their ideas need to be put into practice. He recommends communicating to the elected officials and the employees and with the public and volunteers.":1,"#Making a Difference":1,"#410 Results found for <span ljsid-1=\"\">\"singing\"</span>":1,"#No Results found for <span ljsid-1=\"\">\"Canto tradicional\"</span>":1,"#Minimize and Simplify":1,"#What Planet Are You On? Six Steps to Simplify Remote Management":1,"#Lean Six Sigma in the Age of Artificial Intelligence":1,"#Simply Managing":1,"#Situationally Speaking":1,"#Singletasking":1,"#Six Simple Rules":1,"#Innovating Lean Six Sigma":1,"#The Six Sigma Way":1,"#The article discusses the potential of traditional marketing communication. According to Joe Karasin, head of growth marketing at CircleIt, has plans to try some traditional communication strategies during Q4 2022 and Q1 2023 by placing advertisements in nondigital publications and billboards. Tony Gilbert, communications officer at the nonprofit Masonic Medical Research Institute, tells that people respond positively to good old-fashioned paper letters.":1,"#Zigging When They Zag":1,"#The article relates the statement of Rudy Pereira, chief executive officer of Wisconsin-based Royal Credit Union, about the importance of organizational culture to grow the business.":1,"#Source: Credit Union Magazine":1,"#Culture Drives Results":1,"#The article discusses the foundational elements that contribute to the success of a group. Topics covered include the importance of a sense of belonging to humans, the need for a community which emphasizes that all roles are valued and the need for learning to be done by the expert through to the level below. Also mentioned is the benefit of using the cascading training approach to properly acquire skills and continue generating the success of a group.":1,"#160 Results found for <span ljsid-1=\"\">\"Canto tradicional\"</span>":1,"#<strong ljsid-0=\"\"><a ljsid-0-0=\"\">Dr. Milan Frankl</a></strong>, MBA, PhD, has managed large-scale system development projects; conducted numerous information technology, telecommunications, and business reengineering strategic plans; and played major roles in key systems development initiatives. He held technical, marketing, and management positions with IBM Canada. He later joined the Quebec-based Desjardins Credit Union Confederation as Director of Clearing Systems. Frankl is presently a professor emeritus with the University Canada West, a member of the UK-based Global University Systems, and an adjunct professor with the School of Health Information at the University of Victoria.":1,"#<em ljsid-0=\"\">Accountability</em>. AI’s autonomous nature makes it difficult to determine accountability for mistakes.":1,"#<em ljsid-0=\"\">Economic and social impact</em>. Millions of jobs could be displaced by widespread AI implementation.":1,"#<em ljsid-0=\"\">Malicious use</em>. Impersonation software and autonomous weapons represent dangerous uses of AI.":1,"#<em ljsid-0=\"\">Security risks</em>. AI systems are particularly vulnerable to hacking and manipulation.":1,"#<em ljsid-0=\"\">Lack of nuance</em>. NLP models often interpret communication literally and lack cultural sensitivity.":1,"#<em ljsid-0=\"\">Reliance on large datasets</em>. Prioritizing quantity over quality leads to inaccurate models.":1,"#<em ljsid-0=\"\">Technical limitations</em>. Current AI models struggle with contextualization, emotional intelligence, and ambiguity.":1,"#<em ljsid-0=\"\">AI decision-making</em>. AI systems shouldn’t make critical decisions without human oversight.":1,"#<em ljsid-0=\"\">Privacy</em>. Personal data must be collected with consent.":1,"#<em ljsid-0=\"\">Bias</em>. Poorly processed data can exacerbate social injustices.":1,"#While AI offers a transformational potential to businesses, it’s important to understand AI’s limitations, risks, and dangers. These risks are among the most pressing concerns in AI implementation and should be mitigated with a comprehensive framework:":1,"#The Dangers and Weaknesses of Using AI in Business":1,"#<em ljsid-0=\"\">Skills</em>. Invest in development programs to improve data literacy.":1,"#<em ljsid-0=\"\">Process</em>. Identify where automation would help employees be more engaged and productive.":1,"#<em ljsid-0=\"\">Culture</em>. A data-driven mindset is achieved through training, collaboration, and transparent communication.":1,"#<em ljsid-0=\"\">Strategy</em>. AI initiatives must align with business goals.":1,"#An organization’s leaders are responsible for developing a strategic vision for AI implementation and ethical deployment. Consider the following areas when planning an AI transformation:":1,"#Organizations aiming to embrace AI should begin by cultivating a culture of innovation, risk-taking, and collaboration. If mistakes are punished and work is micromanaged, contributors won’t feel comfortable experimenting with AI systems. This culture should be supported by computing hardware, data management systems, and skilled professionals so that teams are well-equipped for innovation.":1,"#Becoming an AI-Driven Organization":1,"#<em ljsid-0=\"\">Federated learning (FL)</em> is a decentralized method of AI development that trains data on local user devices instead of a central server. In healthcare and finance, FL offers increased privacy and security while decreasing organizational liability. Organizations can also leverage AI-powered cybersecurity defense systems to accelerate response time and predict potential threats to data security. As hackers become more sophisticated, these AI systems can quickly learn from new data and adapt their protective measures.":1,"#AI models process large amounts of sensitive data, so organizations should be sure to understand all applicable data privacy regulations. Being transparent about how you use personal data builds trust with customers and avoids potential legal repercussions. Maintaining long-term trust requires a robust security strategy that includes encryption, access controls, and regular security audits.":1,"#AI Data Privacy and Cybersecurity":1,"#To uphold ethical standards, organizations must adopt an AI governance framework that dictates which ethical standards to prioritize and what work needs to be done to follow them. Frameworks should include explainability standards, which help stakeholders better comprehend how AI systems work. When people understand how a system works, they’re more likely to trust it with sensitive data and decision-making.":1,"#As AI revolutionizes our lives, we must adhere to ethical training, testing, and development principles. Human oversight at every stage of AI development, prioritization of social benefits, and transparent communication are all essential principles that should be upheld by government and industry regulations. Bias mitigation is also essential to guaranteeing accuracy and fairness within AI models. If an AI system is trained on data tainted by historical discrimination, the system is likely to perpetuate that discrimination.":1,"#AI Ethics and Governance":1,"#Part 3: Implementing AI Responsibly":1,"#The gaming industry has long been embracing AI to make games more interactive and immersive. AI algorithms help developers design procedurally generated content, non-playable character behavior, and unique quests based on player actions. Virtual and augmented reality experiences are supported by computer vision programs that seamlessly combine digital and real-world elements. Consumers are increasingly valuing immersive and unique experiences, positioning AI as an essential tool in the entertainment industry.":1,"#TV and film development contains rigorous production, scheduling, and postproduction logistics that often restrict creative possibilities on set. AI-powered schedulers and editing software optimize the laborious parts of the production process so directors, actors, and editors can focus on their creative expression. For media companies, content recommendation algorithms increase viewer retention and create a positive feedback loop with the content delivery service.":1,"#AI in the Entertainment Industry":1,"#AI-powered robotics are revolutionizing surgical procedures with levels of accuracy and control far beyond human skill. Because of the precision and flexibility of surgical robots, surgeries are becoming less invasive with lower recovery times for patients. AI also reduces the risk of post-surgery complications through continuous monitoring algorithms that quickly detect abnormalities. As AI continues to integrate into healthcare, patient data security and model accuracy become top priorities.":1,"#Pattern recognition in clinical data, health risk prediction, and treatment outcome comparisons are regular healthcare practices that can be enhanced with AI-powered data processing. For example, an ML model can detect cancer indicators by learning patterns from imaging data. The speed of this detection is magnitudes faster than human diagnosis, which enables earlier disease detection and reduced radiologist workload.":1,"#AI in the Healthcare Industry":1,"#While humans must be involved in personnel-related decision-making, AI can provide insights about engagement levels, turnover rate, and skill gaps to help organizations predict labor needs. For example, if an algorithm detects a lack of internal growth opportunities, leaders can implement a targeted intervention to improve development programs.":1,"#Human resources (HR) departments are often bogged down by routine tasks and large amounts of data that AI excels at processing. From a talent acquisition perspective, automated resume screening models and experience matching algorithms can help HR professionals save time and reduce errors. Internally, organizations can use AI to design personalized learning experiences and progress-tracking dashboards to create a culture of continuous improvement.":1,"#AI for Human Resources":1,"#Mitigating risk and predicting future trends are major elements of a financial strategy, both of which are enhanced by ML data processing. Calculating risk based on hundreds of factors is a significant statistical challenge, but AI models can quickly compare historic trends to current market conditions to generate a risk tolerance score. The speed of these models enables rapid market analysis and portfolio optimization, which helps traders identify opportunities before their competitors.":1,"#The modern finance environment is fast-paced, so AI models are becoming necessary tools to keep up. A quality fraud detection system is fast, accurate, and informed by historical fraud data. ML algorithms can isolate patterns of abnormal behavior in real time and detect fraud faster than human detectors. AI tools also streamline monotonous tasks like data entry, record matching, and report generation so human workers can prioritize creative decision-making.":1,"#AI in Finance and Accounting":1,"#<em ljsid-0=\"\">Routing</em>. Traffic data, weather forecasts, fuel costs, and delivery windows can be given to a route optimization model to enable dynamic delivery adjustments.":1,"#<em ljsid-0=\"\">Logistics</em>. AI-powered robots and intelligent storage systems revolutionize warehouse management by increasing efficiency, worker safety, and customer satisfaction.":1,"#<em ljsid-0=\"\">Inventory optimization</em>. Rapid data processing enables real-time inventory adjustments to prevent overstocking and stockouts.":1,"#<em ljsid-0=\"\">Demand forecasting</em>. Historical sales data, market trends, and external factors are analyzed by AI systems to anticipate customer demand.":1,"#<em ljsid-0=\"\">Predictive maintenance</em>. ML systems can analyze sensor data in machinery to determine optimal maintenance schedules.":1,"#Operational management is traditionally a resource-intensive function that requires a high level of efficiency. When implemented ethically and strategically, the following AI-enabled systems can reduce costs, improve performance, and enhance operational efficiency:":1,"#AI in Operations and Supply Chain":1,"#For sales teams, AI can quickly process customer data to find hidden patterns and isolate segments of a large customer base with different needs. Tailoring sales and marketing strategies to specific clients and customers creates a better user experience while improving the efficacy of the campaign. AI-powered sales forecasting can also be leveraged by organizations to create accurate financial planning and decision-making frameworks based on historical market trends.":1,"#AI systems excel at predictive analysis and provide new data-driven insights to marketing and sales campaigns. By analyzing data from previous campaigns, customer interactions, and social media metrics, marketers can identify the right timing, communication channels, and resource allocation for their campaigns. An integrated chatbot can support the campaign by providing instant customer support, handling inquiries, and freeing up human resources for more creative and strategic tasks.":1,"#AI for Marketing and Sales":1,"#Part 2: Harnessing AI Across Business Functions":1,"#The largest contributors to the AI ecosystem are service providers like Amazon Web Services and OpenAI, which provide AI solutions to organizations without requiring a deep knowledge of data and computer science. Open source services democratize the AI ecosystem and allow small businesses, startups, and individuals to meaningfully contribute to the ongoing AI revolution.":1,"#Dedicated AI hardware and software, like AI-specific chips and cloud platforms, create the foundation of the AI ecosystem by enabling accessible, scalable, and flexible systems. AI development platforms build on this foundation with libraries, functions, and frameworks for programmers to leverage when building AI tools.":1,"#The AI Ecosystem":1,"#<em ljsid-0=\"\">Ensemble learning</em>. Multiple algorithms combine to create a strong, unified system.":1,"#<em ljsid-0=\"\">Deep learning</em>. Data passes through multiple layers of processing to improve predictions.":1,"#<em ljsid-0=\"\">Reinforcement learning</em>. Programmers fine-tune AI by rewarding desirable actions and penalizing inaccuracies.":1,"#<em ljsid-0=\"\">Unsupervised learning</em>. AI analyzes unlabeled data and identifies patterns on its own.":1,"#<em ljsid-0=\"\">Supervised learning</em>. Models are given correctly labeled data to learn from and inform future predictions.":1,"#An AI system’s decision-making and processing functions are defined by the following common algorithms:":1,"#<em ljsid-0=\"\">Semi-structured data</em>. HTML, JSON, and XML files have some organizational tags for models to use.":1,"#<em ljsid-0=\"\">Unstructured data</em>. Text, video, and audio data lack predefined organization and are used by NLP and computer vision systems.":1,"#<em ljsid-0=\"\">Structured data</em>. Data with predefined fields and clear organization is used for predictive analysis.":1,"#For AI to replicate human processing, it needs large amounts of structured, accurate, and unbiased data. The following data types are used by different AI technologies for training and processing:":1,"#AI Data and Algorithms":1,"#<em ljsid-0=\"\">Natural language processing (NLP)</em> analyzes the content, context, and tone of human language data to allow computers to communicate with humans and produce linguistically informed insights. Similarly, <em ljsid-2=\"\">computer vision</em> digests image, video, sensor, and audio data from the visual world to replicate how humans analyze environmental stimuli. <em ljsid-4=\"\">Robotic process automation (RPA)</em> leverages computer vision to create bots that can complete tedious tasks, manage applications, and process data.":1,"#<em ljsid-0=\"\">Natural language processing (NLP)</em> analyzes the content, context, and tone of human language data to allow computers to communicate with...":1,"#Before determining how artificial intelligence (AI) fits into your organization, it’s important to understand the technologies that shape the AI landscape. <em ljsid-1=\"\">Machine learning (ML) </em>is the process of training a computer to find patterns, make decisions, and improve its own accuracy based on large datasets. <em ljsid-3=\"\">Deep learning</em> is a type of ML that uses layered neural networks to process raw, unstructured data and produce filtered outputs, functioning similarly to neurons in the human brain.":1,"#Understanding AI Technologies":1,"#Part 1: AI Fundamentals for Business":1,"#A culture of innovation and collaboration is the foundation for an organization-wide AI transformation.":1,"#Data privacy and security systems are necessary to protect AI models from attacks.":1,"#AI governance frameworks determine the ethical guidelines that inform development and deployment.":1,"#Today’s fast-pasted business environments require AI to keep up. It’s an effective tool across sectors, including marketing and sales, operations and supply chain, finance and accounting, human resources (HR), healthcare, and entertainment.":1,"#For artificial intelligence (AI) to replicate human processing, it needs large amounts of structured, accurate, and unbiased data.":1,"#Artificial intelligence (AI) is revolutionizing the way we communicate, work, and structure our organizations. In <strong ljsid-1=\"\">Unleashing AI</strong>, Dr. Milan Frankl breaks down the fundamentals of AI and provides strategies to help you integrate AI into your business. The business landscape is fast-paced and filled with data that we don’t have the time or resources to process. AI systems introduce forecasting, real-time assessment, and data-driven optimization to enable rapid data processing for core business functions. By aligning AI development with business goals, adhering to ethical standards, and investing in data management, you can unleash hidden potential in your organization.":1,"#ISBN: 978-1-63742-800-9":1,"#by Milan Frankl":1,"#Harnessing Artificial Intelligence for Business Success":1,"#Clicking this link will redirect to relevant products for the Author Milan Frankl.":1,"#Copyright of Fast Company is the property of Mansueto Ventures LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use.":1,"#At GDM headquarters in London, where a wall is crowded with framed posters commemorating each of the papers its researchers have published in scientific journals, Hassabis doesn't seem to have succumbed to short-term competitive pressure. \"One of the things he has always insisted on, and I fully agree with him, is that we should approach all this work using the scientific method,\" says James Manyika, who's known Hassabis since DeepMind's earliest days and joined Google in 2022 as a senior VP focused on tech's intersection with society, reporting directly to Pichai. \"We should do experiments, we should be rigorous, we should publish.\" That's the DeepMind part of Google DeepMind—and valuing it is the first step toward preserving it.":1,"#Even Hassabis, according to a story in The Information published in April, had qualms about the ever-intensifying emphasis on quickly commercializing AI for the masses that led to DeepMind and Google Brain being fused into Google DeepMind. Initially, \"I was a bit worried about compromising our research road map,\" he admits to me. But over time, he argues, the benefits of consolidating Google's AI expertise and technical stack have become clearer: \"We were set up as a research-led company. We're still a research-led division. And that's completely complementary to the impact we're having on the world.\" Project Astra is one example.":1,"#Google's recent flurry of Gemini-infused features shows \"that they got dragged into competing with the large language models, because that's what everybody had to do once OpenAI opened that door,\" says Anthony Aguirre, executive director of the Future of Life Institute. The nonprofit circulated an open letter in March 2023 calling for a six-month pause in advanced LLM development that was signed by 33,000-plus people, including three DeepMind scientists, two of whom remain at the company. \"And I think that's kind of unfortunate, because I very much prefer the [goal] of designing AI to solve the problems that we actually have.\"":1,"#Not everybody, however, is thrilled with the tech industry's rush to develop increasingly powerful LLMs, make products based on them widely available, and edge ever closer to AGI. There's been tension inside Google, evidenced by the resignation of Geoffrey Hinton—known as the \"godfather of AI,\" and one of Google Brain's leaders—shortly after GDM was created. Hinton said he left so he could speak more freely about the dangerous road ahead.":1,"#Hassabis says he was delighted by the viral reaction, which some have called a ChatGPT moment for Gemini. \"In science, you publish your paper, you get reviewers, and then you see citations, things like that,\" he says. This \"was more visceral in some ways, and it's quite exciting.\"":1,"#An AI-infused note-taking tool aimed at writers and researchers might seem like the unlikeliest of candidates for 15 minutes of fame. But in late September, Google captivated users on TikTok, X, and YouTube with Audio Overview, a new feature for its free NotebookLM web app, which debuted last year. Feed it reference materials such as PDFs and web pages, and it uses Gemini to produce a podcast-like conversation on any topic, between two synthetic hosts. Their dialogue is so uncannily natural-sounding—replete with \"ums,\" \"ahs,\" jokes, and digressions—that an unwitting listener might mistake it for some obscure NPR show starring real humans.":1,"#\"What better use of AI than curing terrible diseases?\" he asks. \"But it will be incredibly valuable, I think, for Alphabet at the end of the day, too. I don't see any contradiction in that.\"":1,"#Three billion dollars is not exactly a windfall for Alphabet, which made $307 billion in 2023, mostly from advertising. It does nothing to fill the company's more near-term need: to imbue its existing, ubiquitous Google software products with groundbreaking AI capabilities. Hassabis, however, is predicting great things.":1,"#Tech analyst Benedict Evans points out that despite AT&T's storied success with Bell Labs, \"it's always been tough to have a generalized innovation lab and have it spit out products.\" Still, Isomorphic Labs has moved past its proof-of-concept stage. In January, it announced strategic partnerships with pharma giants Eli Lilly and Novartis, which it says could result in almost $3 billion in up-front payments even before any royalties it might earn from drugs it had a hand in creating. (Splitting its AI bets, Lilly is also working with OpenAI on antimicrobial research.)":1,"#But Isomorphic Labs is unquestionably an Alphabet-caliber moonshot. GDM wants to find more of them: \"We've got a bit of a blueprint now,\" says Murdoch.":1,"#Today, some of these moonshots have already come and gone. Even the best-known and most promising among them, Waymo's self-driving taxis—whose software GDM helped develop—has reached full commercial deployment only in Phoenix, Los Angeles, and San Francisco.":1,"#The scope of these efforts is what then- CEO Larry Page had in mind when he created Alphabet as a holding company for Google and other subsidiaries nine years ago. He wanted to develop \"moonshots\"— new, possibly world-changing businesses that might take years to incubate and weren't necessarily tied to Google's existing successes.":1,"#Every major AI company says it aspires to bring positive change to countless aspects of life, but GDM is doing an uncommonly high percentage of the heavy lifting. This has required it to staff up well beyond its computer-science roots: \"We have some of the world's best fusion experts, biologists, material scientists,\" says VP of research Pushmeet Kohli.":1,"#And GDM's researchers are plugging away on other projects taking on real-life challenges: GraphCast uses AI to produce accurate 10-day weather forecasts in less than a minute. GNoME has identified 380,000 new inorganic crystals that could be useful in manufacturing everything from batteries to solar panels. Torax, developed in collaboration with the EFPL, in Switzerland, is software that helps predict how to control the hotter-than-the-sun temperatures necessary for nuclear fusion.":1,"#Yet he's not waiting to figure out AGI before proceeding on high-potential research projects, efforts that have no bearing on Google's immediate bottom line. In 2021, it created a company known as Isomorphic Labs, or Iso for short, to commercialize the AlphaFold technology, with Hassabis as its CEO and GDM's chief business officer, Colin Murdoch, as president. Iso now has 150 employees, stand-alone office space, and a focus on accelerating drug discovery, offering GDM another chance to engage with the physical world.":1,"#And yet Hassabis, who tells me he's \"very heavily involved\" in developing Astra, isn't just building a smarter AI assistant. Teaching the software to make sense of its surroundings also provides GDM with learnings critical to its quest to attain AGI. To get a computer to think like a human, he says, \"you can't just live in the world of languages and mathematics. You've got to understand the physical world.\"":1,"#Aspects of Astra are due to reach consumers in some form before the end of 2024. On one level, that feels like a competitive imperative: If Google doesn't invent the world's best camera-enabled AI assistant, someone else will. OpenAI has already previewed ChatGPT features that follow a similar trajectory, including ones that can solve handwritten math problems and get a read on a person's emotions based on facial expressions. Even Apple, despite its careful approach to AI, is giving the iPhone more camera-assisted intelligence.":1,"#Wearing his signature blue shirt and blue-framed glasses, Hassabis tees up a video showcasing \"Project Astra,\" Google's experimental vision of a next-generation AI agent. Powered by Gemini and designed to work on a smartphone or smart glasses, Astra is no mere chatbot. It uses machine vision to identify a gadget sitting on a table, in this case a music speaker, and explain how it works. It then susses out the function of encryption code displayed on a computer monitor, correctly guesses that a cartoon scrawled on a whiteboard references Schrödinger's cat, and reminds the human user where she left her eyeglasses.":1,"#When Google CEO Sundar Pichai ushers Hassabis onstage at the company's annual Google I/O developer conference in May, held at the Shoreline Amphitheatre near its headquarters, it feels both overdue—Hassabis had been a Google employee for more than a decade—and yet perfectly timed, since Hassabis's work has quickly become core to the company's future.":1,"#\"Please welcome, for the first time on the I/O stage, Sir Demis.\"":1,"#DeepMind launched an effort to automate the process and called it AlphaFold. The first version won a biannual protein-predicting competition in 2018; the second, which won in 2020, was an even more extraordinary advance for both biotech and AI. It also proved that DeepMind's research-first culture could thrive within Google. AlphaFold co-creator Jumper, who came to DeepMind after writing his University of Chicago PhD thesis on using machine learning for protein prediction, told me in 2021 that working there was \"like being at an AI conference every day.\"":1,"#Having conquered Go, DeepMind was ready to apply its AI to more substantial stuff than games. \"In my mind, the next step was to come out of the lab and apply it to a real-world problem,\" says Hassabis. \"And protein folding was top of my list.\" Identifying how proteins fold into 3D structures could provide critical insights for drug discovery and other biotechnology fields, but it was so arduous a process that only around 100,000 such structures had been determined out of billions of possibilities.":1,"#Selling to Google \"meant Demis didn't have to spend his time talking to investors all the time,\" says Helen King, one of Deep- Mind's first employees and now GDM's senior director of responsibility, overseeing the safety of its work, from mitigating biases in Gemini to grappling with the potential risks of AGI and other future technologies. \"He could focus on actually moving the research forward.\"":1,"#By then, DeepMind's short life as an independent company was over. A little more than two years earlier, Google had acquired the startup for a price reportedly between $400 million and $650 million—a pittance compared to OpenAI's current valuation of $157 billion, but not bad by 2014 standards. At the time, investors were so indifferent to AI that, as a startup, DeepMind had found it \"very hard to raise even $10 million,\" recalls Hassabis, who bonded with Google cofounders Larry Page and Sergey Brin over a shared dedication to developing AI.":1,"#In 2010, the three founded DeepMind, so stealthy a startup that its original website consisted of a logo and nothing else. Early on, it created software that could learn to play 1970s Atari video games, a starting point for crafting AI that could figure out rules and goals on its own rather than having them painstakingly coded in. Eventually, the company did the same with Go, the 2,500-year-old board game so complex that many thought a computer might never master it. But in 2016, DeepMind's AlphaGo software beat legendary Go master Lee Sedol—a bigger moment for AI than the vanquishing of Kasparov 19 years earlier.":1,"#Hassabis found himself drawn to another approach to AI: neural networks. By mimicking the workings of the human brain, software built on this model could learn to do many things, just as people do. The technology had been constrained by limits in computing power, but Hassabis—along with Suleyman (whom he'd first known as his younger brother's best friend) and Legg (a fellow researcher at University College London)— was convinced it could make strides as supercomputers grew ever more capable.":1,"#In 1997, as Hassabis was graduating from the University of Cambridge with a degree in computer science, IBM's Deep Blue chess-playing computer beat world champion Garry Kasparov. Hassabis was enthralled. But that landmark moment was also \"a weird dead end,\" he says. An example of an AI construct known as an expert system, Deep Blue was hardwired for chess mastery, period. It couldn't be trained to play additional games, let alone perform other kinds of jobs.":1,"#Another influence, and Hassabis's most foundational one: games. Born in London in 1976 to a Greek Cypriot father and a Singaporean mother, he exhibited early signs of brilliance by trouncing his dad and uncle at chess as a 4-year-old. By age 8, he'd earned enough money in competitive chess to buy his first PC; by 17, he was developing video games professionally, including an amusement park simulator that sold millions of copies.":1,"#This multidisciplinary atmosphere reflects London's rich cultural history as well as Hassabis's own interests, which span \"philosophy and arts and humanities\" and beyond, he says. \"I think the same in terms of values and society, too. I feel like the world needs to input what it wants out of [AI]. Not just a hundred square miles of a patch in California.\"":1,"#This being a technology company, there's nothing unexpected about the fact that the room is named and decorated in tribute to Nikola Tesla, or that others honor Ada Lovelace and Alan Turing. But there are also rooms celebrating philosophers Baruch Spinoza and Ludwig Wittgenstein. And Mary Shelley, whose best-known work, Frankenstein, is a 200-year-old tale of artificial intelligence gone awry. There's tech-inspired art on the premises, too, including two massive glass-and-steel polyhedrons in the lobby, meant—according to a placard—to \"bring a rigid and gleaming tangibility to the abstraction of the numerical calculation of flawless coherence.\"":1,"#Google DeepMind’s blocky, modernist 11-story office looms large in London's Knowledge Quarter. A thriving tech district near the British Library, the area is also home to outposts of AstraZeneca, Meta, and Samsung, along with research facilities such as the Francis Crick Institute, one of Europe's largest biomedical labs. When I visit in early October, the skies have cleared af-cleared af-ter several days of drizzle, and sunlight streams into the conference room where Hassabis is explaining to me how hard he's worked to ensure that GDM's workplace transcends the hermetically sealed atmosphere endemic in Silicon Valley.":1,"#Despite all this, his career is entering a new and fraught phase. For years, he has been motivated by AI's potential to solve some of humanity's biggest challenges, a vision Google shared and allowed him to pursue with great autonomy. But now he must square that aim with the growing pressure to pump out new technologies that will keep Google's biggest products relevant. Success could hinge on his ability to balance scientific idealism with commercial reality.":1,"#In the meantime, Hassabis—a lifetime overachiever—has been racking up the world's loftiest honors. Knighted last March in the U.K. \"for services to artificial intelligence,\" he is now Sir Demis. (\"I rarely use that title, and I'd rather other people didn't.\") The same month, he was appointed to the Vatican's Pontifical Academy of Sciences. (\"I'm not Catholic myself, but they're very open-minded about discussing the philosophical implications of what's happening.\") In October, I spoke with him hours after he and GDM director of research John Jumper were named Nobel Prize laureates in chemistry for GDM's AlphaFold, a breakthrough in AI-assisted protein research that could revolutionize drug discovery. (\"Surreal, but I hope it'll sink in in the next few days.\")":1,"#Though definitions of precisely what AGI is vary, everyone agrees it involves AI becoming more competent across more fields than anything that exists today. Legg, who helped popularize the term and is now GDM's chief AGI scientist, defines it as \"something that can at least match human capability in the sorts of cognitive tasks that people can typically do.\" Achieving it is what prompted him, Hassabis, and Suleyman to start DeepMind 14 years ago. Hassabis's guess as to when some entity—not necessarily Google—will attain that epoch-shifting feat leaves plenty of wiggle room in both directions. He sees \"a 50% chance in 10 years,\" but says, \"I wouldn't be surprised if it happened earlier.\"":1,"#As Hassabis puts it: \"The way it's turned out is that we're now the engine room of Google.\" Yet GDM's mission is even bigger than that. Like OpenAI and Anthropic, and others, it's working toward achieving artificial general intelligence, or AGI.":1,"#Gemini hasn't dislodged ChatGPT in the public consciousness as the AI chatbot that defines the category. And a few of Google's AI launches have turned into PR nightmares as their rough edges became obvious: Its image generator was initially capable of troubling anachronisms such as depicting Nazi soldiers as Black people, and one AI Overview helpfully recommended using glue to keep cheese stuck to pizza. But Google is finally benefiting from its biggest competitive advantage: the ability to deploy AI to vast numbers of people with the flip of a switch. \"Every billion-user product at Google, at this point, has Gemini integrations,\" says GDM VP of product Eli Collins. \"And we have 9 billion-user products.\"":1,"#Google's game plan bets heavily on Gemini, an LLM named for the twin Google AI labs that came together to create it. Various versions of the Gemini technology power a raft of new features, from Google Search's \"AI Overview\" summaries to Gmail's ability to draft emails for users. Gemini has also replaced Google Assistant as Android's default voice AI, is available as a stand-alone chatbot, and can be utilized by other developers in their products via the Google Cloud platform.":1,"#It's an enormous responsibility. Though Google has talked about being an AI-first company for years, it was OpenAI that set off the current generative AI frenzy with the November 2022 launch of ChatGPT. Google—for all its technical wherewithal—has been scrambling since then to establish itself as a leader in turning the emerging technology into actual products. It's racing against innumerable others, including Microsoft, OpenAI's flagship partner (and Suleyman's current employer; the company appointed Suley-man to head a new consumer AI unit in March, in a deal that also involved it paying $650 million to license technology created by Inflection AI, the startup he cofounded after leaving Google in 2022).":1,"#His cherished quiet time was disrupted by the creation of Google DeepMind, often called GDM within the company. The organization is the result of the April 2023 merger of two existing Google AI research arms: DeepMind, which Hassabis cofounded with Mustafa Suleyman and Shane Legg in 2010 and sold to Google in 2014, and Google Brain, which Google itself formed in 2011. Hassabis was named to head the combined entity—arguably AI's most formidable brain trust.":1,"#Google DeepMind CEO Demis Hassa Bis used to get some of his most fulfilling work done between midnight and 3 a.m. A self-described \"nocturnal person,\" the Londoner devoted the solitude of his overnight shift to catching up on scientific papers, coming up with new ideas, and just plain thinking. Lately, however, even Hassabis's wee hours are in demand. Much of his team is now based at Google's home turf in Silicon Valley, where it's eight hours earlier. As a consequence, video meetings for him often stretch into the new day. \"I had a really good routine until about 18 months ago,\" he says wistfully.":1,"#Google DeepMind CEO Demis Hassa Bis used to get some of his most fulfilling work done between midnight and 3 a.m. A self-described \"nocturnal person,\" the Londoner devoted the solitude of his overnight shift to catching up on scientific papers, coming up with new ideas, and just plain thinking. Lately, however, even Hassabis's wee hours are in demand. Much of his team is now based at Google's home turf in Silicon Valley, where it's eight hours earlier. As a consequence, video meetings for him often stretch into the new day. \"I had a really good routine until about 18 months...":1,"#by Harry McCracken":1,"#Clicking this link will redirect to relevant products for the Author Harry McCracken.":1,"#In <strong ljsid-1=\"\">The Power Pause</strong>, Ruch describes the challenges new stay-at-home parents face and the immense opportunities available to them to build a meaningful and enriching life. While the book is geared toward working women making the shift to home life, the lessons can easily be applied to men who are considering a full-time family focus. This book is a must-read for any working professional who’s constructing a plan for parenthood and what life will look like before, during, and after their professional power pause.":1,"#At the same time, work through what your home life will look like as you resume working. Ruch encourages you to readjust the distribution of household labor, draw lines between work and family time, and align people who can help you manage the load.":1,"#You can also begin thinking through the logistics of your return to work. Explore whether a full-time, part-time, or flexible return is the right fit for you and your family or if a new path, such as consulting, freelancing, or starting a new venture, is optimal. As your ideas take shape, talk with people in your network and consider return-to-work resources such as Mother Untitled, the Mom Project, ReBoot Accel, and Freelancing Females to help you access new opportunities.":1,"#Your time away from work will likely be evident on your résumé. It’s okay to include it, as well as the work you took on while caring for your family. You might create a volunteer or community section on your résumé to highlight leadership roles in your child’s school, neighborhood association, or church. Make your responsibilities clear and illustrate the specific skills you deployed to serve those groups.":1,"#If returning to work is a future goal, keep that in mind during your time away. Ruch suggests building a career portfolio throughout your power pause to demonstrate a span in which you amassed clear skills.":1,"#Prep for Your Return":1,"#Ruch encourages you to use your power pause to pursue personal development. This can include diving into hobbies, passion projects, formal learning, volunteer work, or self-improvement efforts that will benefit you over the long term, whether you return to work one day or choose another path. An important first step is evaluating what you want for your future and identifying the small steps you can take in the interim to work toward it.":1,"#One of the most powerful aspects of the stay-at-home path is the gift of time. Your day may feel full with childcare and logistical challenges, but you have a span of months or years to work iteratively toward deeply meaningful goals.":1,"#Practice Personal Development":1,"#You can also build your network with people who provide other invaluable services, including meal delivery, laundry care, house cleaning, carpool, after-school programming, flexible daycare, or drop-off playgroups. These resources can help you balance your family responsibilities and personal and professional goals.":1,"#Your network should also include people who can help you care for your children. There will be times when you need to step away, whether to tend to life matters or simply to care for yourself. Having several people on call to step in can keep you from feeling overextended and overwhelmed.":1,"#Your new network should include mom friends. People who understand your choice to stay at home will relate well to the challenges you face. They can also empathize, bring levity to your day, and help you feel as though you aren’t alone on your journey. Ruch encourages you to be strategic in building mom friend relationships, recognizing that no one person can fill all the boxes, but instead can support you in a specific way in this chapter of life.":1,"#At work, a network is crucial. The same is true for a stay-at-home parent. Being a full-time caretaker can be exhausting and isolating. You need people in your corner, giving encouragement, camaraderie, compassion, care, coaching, and inspiration, as you carve your new path.":1,"#Build a New Network":1,"#Beyond goal setting, daily rhythms can empower you and help you find fulfillment. Ruch suggests creating blocks in your day for your children and yourself that are practical, beneficial, and supportive of the life you want to live. She cautions that your rhythm shouldn’t encourage burnout. Instead, it should work for your energy level, family needs, and personal priorities. It should allow you to optimize for what’s important and let go of what’s less urgent in this new chapter of life.":1,"#Short-term goals, personal goals, and even career goals can be explored. You may create easy projects to work toward, including building self-care practices, reading a book every quarter, or finding volunteer work to take on. You can also set family goals that help you shape your days. For instance, you might prioritize a weekly family dinner, a family emphasis on gratitude, or instilling important values and simple practices to make them achievable.":1,"#Ruch encourages you to set clear goals. Goal setting can help you regain a sense of control, use your time productively, and prioritize your growth, autonomy, and personal satisfaction. Ruch explains that many find it difficult to set goals in the early days at home, but she encourages you to start small, perhaps by setting your <em ljsid-1=\"\">North Star</em>, or overarching objective for your time at home. Consider who you want to be and how you want to show up every day. With that clarity, you can align your focus, time, creativity, and energy around your North Star and explore practices that help you achieve it.":1,"#One of the most important steps you can take as a new stay-at-home parent is to redefine “success.” Without a boss coaching you forward, you depend entirely on yourself to construct your days and what you hope to achieve.":1,"#Embrace Your New Rhythm":1,"#You can embrace the time you spend at home, rewrite the narrative you’ve lived by, and find purpose in your next chapter. But you can also take time to grieve the work you’ve left as you explore what’s next.":1,"#Mother Untitled emphasizes that the time you spend away from work can be fulfilling and purposeful. Ruch calls this time a <em ljsid-1=\"\">power pause</em>, a period where you recalibrate your goals and priorities, create new structures, and fill your cup in ways that are deeply enriching.":1,"#These sentiments are common still today. This is largely because women lack resources, communities, and role models of people who leave fulfilling work for motherhood. Ruch is working to change that through her company Mother Untitled, a digital community that offers guidance on navigating stay-at-home motherhood and downshifting careers to meet family priorities.":1,"#Women who choose to stay at home with their children often feel the need to explain and defend their choice, particularly when they built a career and an identity that was deeply intertwined with it. Ruch explains that it can be difficult to embrace a new identity as an at-home parent. Overnight, the structure of your days can change drastically. Your role and work become wildly different. Some of your most-used talents are shelved. All the while, you may worry about how others will view your choice and that you’ll be stereotyped as lacking ambition, being unproductive, or being unable to contribute to the working world.":1,"#Women who choose to stay at home with their children often feel the need to explain and defend their choice, particularly when they built a career and an identity that was deeply intertwined with it. Ruch explains that it can be difficult to embrace a new identity as an at-home parent. Overnight, the structure of your days can change drastically. Your role and work become wildly different. Some of your most-used talents are shelved. All the while, you may worry about how others will view your choice and that you’ll be stereotyped as lacking ambition, being unproductive,...":1,"#It’s Okay to Pause":1,"#If you’re considering the stay-at-home path, take heart. Neha Ruch explains that many women have found fulfillment and purpose in this time and have journeyed through this chapter in ways that work for their families and themselves. In <strong ljsid-1=\"\">The Power Pause</strong>, the founder of Mother Untitled shares their stories, offers expert advice for navigating time away from work, and reveals practices you can experiment with to overcome obstacles, settle into your new season, and continue your personal and professional growth.":1,"#Some mothers decide to pause or step away from their careers to become primary caregivers. For many, the stay-at-home path introduces a new set of challenges, including reckoning with an identity shift and making peace with the impact the pause will have on their future careers.":1,"#ISBN: 978-0-5937-1618-2":1,"#Adapted by permission of G.P. Putnam’s Sons, an imprint of Penguin Random House LLC":1,"#©2025 by Neha Ruch LLC":1,"#by Neha Ruch":1,"#How to Plan a Career Break After Kids—And Come Back Stronger Than Ever":1,"#Clicking this link will redirect to relevant products for the Author Neha Ruch.":1,"#The Mentorship Edge":1,"#<a ljsid-0=\"\"><strong ljsid-0-0=\"\">Elizabeth McCourt</strong></a> approaches life and work holistically, balancing keen business acumen with emotional intelligence that allows her to work globally and cross-culturally as a thought-leader, executive coach, writer, speaker, TEDx talker and nonlinear creator. She creates positive and confidential environments that evoke trust with a true interest in helping people reach their greatest potential, flaws and all. She has published a legal thriller and is currently writing a book about embracing a nonlinear approach to leadership success.":1,"#Vivek Raghunathan":1,"#VIRGINIA BIANCO-MATHIS":1,"#Virgil Scudder":1,"#Vineet Nayar":1,"#Vineet Arora":1,"#Vincent D. O'Connell":1,"#Vince Han":1,"#Vinay Couto":1,"#Viktor Mayer-Schönberger":1,"#Vijay Mahajan":1,"#Victoria L. Roberts":1,"#Vicky Ward":1,"#Vickie Rotante":1,"#Vicki Halsey":1,"#VERONICA STEELE":1,"#Vedrana Savic":1,"#Vasudha Sharma":1,"#Vanessa Van Edwards":1,"#Vanessa Fox":1,"#Valerie Pullen":1,"#Valerie M. Grubb":1,"#Valerie Khoo":1,"#Valerie I. Sessa":1,"#Val Kaplan":1,"#Urvashi Bhatnagar":1,"#Umair Haque":1,"#Tyler Lessard":1,"#Ty Montague":1,"#Tsun-yan Hsieh":1,"#Tsedal Neeley":1,"#Trond Arne Undheim":1,"#Trish Gorman Clifford":1,"#Trevor Throness":1,"#Trevor Owens":1,"#Trevor Blake":1,"#Trent Leyshan":1,"#Travis Wright":1,"#Tracy Shroyer":1,"#Tracy Brower":1,"#Traci Fenton":1,"#Tracey S. Danaher":1,"#Tor W. Andreassen":1,"#Tony Wagner":1,"#Tony Street":1,"#Tony Davila":1,"#Tony Cole":1},"version":204356}]