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Synthesis Collection of Technology (R0)

Joyce Weiner

Why AI/Data Science Projects Fail

How to Avoid Project Pitfalls

&lt;p&gt;Introduction and Background.- Project Phases and Common Project Pitfalls.- Five Methods to Avoid Common Pitfalls.- Define Phase.- Making the Business Case: Assigning Value to Your Project.- Acquisition and Exploration of Data Phase.- Model Building Phase.- Interpret and Communicate Phase.- Deployment Phase.- Considerations for Generative AI Projects in the Enterprise.- Summary of the Five Methods to Avoid Common Pitfalls.&lt;/p&gt;


An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century. Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism—an early investor was the CIA—Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the twenty-first century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he’s a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir’s work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp’s close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley’s most secretive and powerful companies, whose technology is at the leading edge of the surveillance state.

Alex Karp, Palantir, and the Rise of the Surveillance State

The Philosopher in the Valley

AI and Constitutional Law in Europe

Democracy in the Age of Disinformation

Understand how to use people analytics to drive business results and gain competitive advantage.

Using HR Data and AI to Drive Business Results

The Value of People Analytics

ATOM: The Beginning

Discover the thrilling prequel to Tezuka's&nbsp;Astro Boy, where the future of robotics is forged in the fires of innovation and intense mecha battles. Experience a gripping journey into the origins of this series, based on the iconic anime streaming on Netflix, Amazon Prime Video, and Crunchyroll.

ATOM: The Beginning Vol.13

AI Essentials for Leaders

Rethinking Business Strategy

Artificial Intelligence

By the New York Times’s Global Economics Correspondent, an extraordinary journey to understand the worldwide supply chain—exposing both the fascinating pathways of manufacturing and transportation that bring products to your doorstep, and the ruthless business logic that has left local communities at the mercy of a complex and fragile network for their basic necessities."A tale that will change how you look at the world."&nbsp;—Mark LeibovichNamed a Best Book of the Year by Foreign Policy and The Aspen Institute * Longlisted for the Porchlight Business Book AwardHow does the wealthiest country on earth run out of protective gear in the middle of a public health catastrophe? How do its parents find themselves unable to locate crucially needed infant formula? How do its largest companies spend billions of dollars making cars that no one can drive for a lack of chips?The last few years have radically highlighted the intricacy and fragility of the global supply chain. Enormous ships were stuck at sea, warehouses overflowed, and delivery trucks stalled. The result was a scarcity of everything from breakfast cereal to medical devices, from frivolous goods to lifesaving necessities. And while the scale of the pandemic shock was unprecedented, it underscored the troubling reality that this system built on Just in Time principles was fundamentally at risk of descending into chaos all along. And it still is. Sabotaged by financial interests, a loss of transparency in markets, and worsening working conditions for the people tasked with keeping the gears turning, our global supply chain has become perpetually on the brink of collapse.In How the World Ran Out of Everything, award-winning journalist Peter S. Goodman reveals the fascinating innerworkings of our supply chain and the factors that have led to its constant, dangerous vulnerability. His reporting takes readers deep into the elaborate system, showcasing the triumphs and struggles of the human players who operate it—from factories in Asia and an almond grower in Northern California, to a group of striking railroad workers in Texas, to a truck driver who Goodman accompanies across hundreds of miles of the Great Plains. Through their stories, Goodman weaves a powerful argument for reforming a supply chain to become truly reliable and resilient, demanding a radical redrawing of the bargain between labor and shareholder interests, and deeper attention paid to how we get the things we need.From one of the most respected voices in economic journalism working today, How the World Ran Out of Everything is a fiercely smart, deeply informative look at how our supply chain operates, and why its reform is crucial—not only to avoid dysfunction in our day to day lives, but to protect the fate of our global fortunes.&nbsp;This riveting work of economic journalism breaks down the complexities of modern globalization and reveals: <ul><li>The Just in Time Fallacy: Discover how a sensible manufacturing philosophy was twisted to prioritize shareholder interests over resilience, setting the stage for global shortages and widespread inflation.</li><li>Human Cost of Efficiency: Journey from factories in Asia to the highways of the Great Plains and meet the human players—from truck drivers to railroad workers—exploited to keep the gears of commerce turning.</li><li>Monopoly Power and Price Hikes: Investigate how decades of deregulation allowed a few monopolistic companies to dominate key industries, engineering scarcity to boost profits during a worldwide catastrophe.</li><li>The Future of the Supply Chain: Explore the urgent arguments for reforming the system through reshoring and nearshoring to build a more reliable and resilient network for the things we need.</li></ul>

Inside the Global Supply Chain

How the World Ran Out of Everything

'Book of the Year' as chosen by The Conversation 'Disconcerting . . . a disturbing and important book' NEW SCIENTIST 'Smart and wonderfully readable' NEW YORK TIMES The bad science and sinister ideas behind Silicon Valley's foolish obsession with immortality, AI paradise and limitless growth. Tech billionaires have decided that they should determine our futures for us. According to Elon Musk, Jeff Bezos, Sam Altman and more, the only good future for humanity is one powered by technology: trillions of humans living in space, functionally immortal, served by superintelligent AIs. In More Everything Forever, scientist and writer Adam Becker investigates these wildly implausible and often profoundly immoral visions of tomorrow to reveal why, in reality, there is no good evidence that they will, or should, come to pass. The giants of Silicon Valley claim that their ideas are based on science, but the truth is darker: they come from a jumbled mix of shallow futurism and racist pseudoscience. And behind these fanciful visions of space colonies and digital immortality is a cynical power grab, at the expense of essential work spent on solving real problems like the climate crisis. More Everything Forever exposes the powerful myths that dominate Silicon Valley, challenging us to see how foolish, and dangerous, these visions of the future are.

AI Overlords, Space Empires, and Silicon Valley's Crusade to Control the Fate of Humanity

More Everything Forever

Build an organization that adapts, evolves and performs in constant uncertainty. Workplace Agility by Natal Dank is a strategic guide for senior HR leaders, business executives and transformation leads who need to move beyond reactive change and design organizations that thrive in disruption. As AI accelerates change and workforce expectations shift, this book shows how to replace outdated resilience models with a more dynamic, future-ready approach. Introducing the Workplace Elasticity (WE) model, it explains how to align people strategy, business strategy and Industry 5.0 thinking to create organizations that can flex, stretch and re-form without losing performance. Combining strategic insight with real-world examples from companies including TomTom, Novartis and Liberty Latin America, it translates complexity into practical action. You will learn how to: - Align workforce planning with AI-enabled business strategy - Design operating models that adapt to constant change - Enable effective human-machine collaboration at scale - Build cultures that support purpose, connection and performance &gt;Workplace Agility equips you with the tools to lead with confidence in uncertainty, building adaptive organizations that sustain performance and competitive advantage. Themes include: workplace agility, organizational design, HR strategy, AI in business, workforce transformation, Industry 5.0

An HR Approach to Organizational Design and People Strategy

Workplace Agility

A complete guide to deep neural networks – the technology behind AI – covering fundamental and advanced techniques to apply machine learning in real-world scenarios. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.

Deep Learning Crash Course

Despite the hype and huge investment, most AI initiatives have failed to deliver the results that business need. A centralized approach to AI adoption means organizations aren't getting the true benefits of AI. This book shows a better way. From Users to Solution Builders show how organizations can take their workforce from AI users to AI solution builders. Individuals themselves know the kind of AI solutions that will actually work for them and improve their workflows and performance. This book shows senior AI and tech professionals how to empower their workforce to create their own AI solutions and tools. Beginning with showing the parallels between current AI adoption trends and the failures of digital transformation initiatives, this book shows the tremendous opportunity that natural language interfaces offer for AI solution building. It covers how to build the technical backbones for systems that support AI solution building along with details of how leaders can engage everyone to design their own AI solutions. Focussing on the inevitable resistance, the book provides proven change management techniques to encourage employees to embrace new ways of working. From Users to Solution Builders also show how AI agents can be woven into the fabric of daily collaboration and how organization can establish the necessary guardrails to protect data security and organizational IP. The book features real-world examples from organizations including McDonald's, Lululemon, Google, Oracle, JPMorgan Chase, and major pharmaceutical firms.

Scaling AI Across Your Organization

From AI Users to Solution Builders

Innovation doesn't just happen. You need to lead it. Discover the three critical roles leaders must play in driving--and scaling--innovation.Constant tech disruption. Unrelenting economic volatility. Radically shifting demographics and work norms. More than ever, we need to innovate amid these daunting global challenges. But do we have the leadership it takes to make this innovation happen successfully?As preeminent leadership scholar Linda Hill, Harvard researcher Emily Tedards, and former Microsoft innovation executive Jason Wild show in this powerful book, there are indeed exemplary leaders to learn from--and the authors present their stories in fascinating detail, not only igniting your imagination but providing instructive and inspiring models to follow. Hill's award-winning book Collective Genius began the crucial task of showing that successful innovation doesn't just happen--it needs to be led. Genius at Scale breaks new ground, showing how moving from generating new ideas to actually scaling them involves cocreation--collaborating, experimenting, and learning with others both inside and beyond the boundaries of the organization. This requires three distinct types of leadership: <ul><li>Leader as Architect: shaping culture and capabilities for cocreation</li><li>Leader as Bridger: building partnerships across teams and organizations</li><li>Leader as Catalyst: activating and cultivating movements across ecosystems</li></ul>The authors vividly profile these three types of leaders with individuals from all kinds of companies--from Mastercard, Pfizer, and Procter &amp; Gamble to Cleveland Clinic Abu Dhabi, Sampark Foundation, and ANA spinoff avatarin--who illustrate the mindset, skills, and digital savvy needed for leading in a world more uncertain and challenging than ever before.Genius at Scale provides an essential guide to mastering the art and practice of innovation for any current or aspiring leader.

How Great Leaders Drive Innovation

Genius at Scale

Why AI/Data Science Projects Fail

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