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Aiding Forensic Investigation Through
Deep Learning and Machine Learning Fram

Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks

International Series in Operations Research & Management Science

This book presents a comprehensive examination of emerging digital innovations and their implications for supply chain management. Bridging theory and application, this book provides valuable insights into how technological advancements are influencing practice, policy, and research across global supply networks. The book begins with an overview of emerging technologies and their practical applications in supply chains. It then explores the use of blockchain to enhance traceability and observability, followed by a detailed look at data-driven analytics for building resilient and adaptive supply chains. The final section focuses on the transformative role of artificial intelligence in optimizing supply chain operations. 
This book can be used as an essential source for students and scholars who are interested in pursuing research or teaching courses on the rapidly evolving field of digital transformation in supply chains. It also provides valuable insights for managers and practitioners seeking to enhance their knowledge and effectively navigate the digital transformation of their supply chain operations.

Towards Digital Transformation

Emerging Technologies in Supply Chains

Elements in Law, Economics and Politics

This Element provides an overview of FinTech branches and analyzes the associated institutional forces and economic incentives, offering new insights for optimal regulation. First, it establishes a fundamental tension between addressing existing financial inefficiencies and introducing new economic distortions. Second, it demonstrates that today's innovators have evolved from pursuing incremental change through conventional Fin-Tech applications to AI × crypto as the fastest-growing segment. The convergence of previously siloed areas is creating an open-source infrastructure that reduces entry costs and enables more radical innovation, further amplifying change. Yet this transformation introduces legal uncertainty and risks related to liability, cybercrime, taxation, and adjudication. Through case studies across domains, the Element shows that familiar economic tradeoffs persist, suggesting opportunities for boundary-spanning regulation. It offers regulatory solutions, including RegTech frameworks, compliance-incentivizing mechanisms, collaborative governance models, proactive enforcement of mischaracterizations, and alternative legal analogies for AI × crypto.

Past, Present, and Future

FinTech Regulation in the United States

A critical introduction to the psychiatric technologies of the future Artificial intelligence (AI) promises to transform nearly every area of modern life, and psychiatry is no exception. The field faces the mounting crisises in diagnostic inaccuracy, treatment stagnation, and persistent failures in suicide prevention, while traditional approaches struggle to keep pace with patient needs. AI and neuroscience offer a new path forward, pointing toward a future where mental health care is grounded in objective data, individualized predictions, and biologically informed treatments. Decoding Despair provides a cutting-edge look at these emerging scientific possibilities and the long-standing norms they may replace. Beginning with an examination of psychiatry's current challenges, it moves toward a present where AI-powered tools are beginning to reshape diagnostics, treatment selection, and drug development. The book offers readers a deeper understanding of mental health as both a scientific field and a lived human experience, while igniting an essential conversation about the transformative potential of precision psychiatry and technology. Decoding Despair readers will also find: <ul> <li>Exploration of the patient's journey from first symptoms to being prescribed medication</li> <li>Deep dive into the healthcare system and an understanding of the connections between stakeholders</li> <li>Clear explanations of how AI models work and how they can be practically applied to solving issues in mental health</li> <li>Deep introduction into the world of data and the different models of data acquisition necessary for building AI solutions</li> <li>Analysis of the potential innovations that could come first and the conditions necessary for them to occur</li> </ul> &nbsp; Decoding Despair is ideal for professionals and innovators building the future of psychiatry-as well as anyone seeking to understand their own mental health and the technological breakthroughs poised to reshape this critical field of care.

How AI is Reshaping Psychiatry

Decoding Despair

Im Rechtsalltag angekommen: Cybersicherheit
Digitale Sicherheit ist längst kein Nischenthema mehr. Mit neuen gesetzlichen Vorgaben wie NIS-2, DORA und dem Cyber Resilience Act wird Cybersicherheit zu einer zentralen Managementaufgabe - für Unternehmen jeder Größe. Parallel wächst der Beratungsbedarf: Wie lassen sich rechtliche Anforderungen mit technischen Schutzmaßnahmen in Einklang bringen? Der neue StichwortKommentar Digitale Sicherheit liefert die dringend benötigte Orientierung und konkrete Lösungen.

Der SWK "Digitale Sicherheit"
Der von Judith Nink herausgegebene Kommentar vereint erstmals die Perspektiven aus Technik und Recht in einem klar strukturierten Praxiswerk. Die erfahrenen Autorinnen und Autoren erläutern die wichtigsten Begriffe der digitalen Sicherheit in alphabetischer Reihenfolge und ermöglichen damit einen schnellen, systematischen Zugriff auf alle relevanten Rechtsfragen. Die Gliederung nach Stichwörtern ermöglicht eine präzise, anwenderfreundliche Darstellung der Themen, die in der Unternehmenspraxis tatsächlich auftreten.

Besondere Vorteile
<li>Innovativer Aufbau: praxisnahe Gliederung nach Stichwörtern statt gesetzessystematischer Kommentierung
</li><li>Von A bis Z: Behandlung der wichtigsten Themen von Anonymisierung über Kritische Infrastrukturen bis hin zu Zertifizierung
</li><li>Rechts- und Technikperspektive kombiniert: ganzheitliche Betrachtung der Herausforderungen der digitalen Sicherheit 
</li><li>Konkrete Hilfestellungen: Erleichterung der direkten Anwendung durch Umsetzungshinweise, Musterformulierungen und Checklisten 

Ausgewiesene Expertise
Herausgeberin ist Dr. Judith Nink, die sich seit über 20 Jahren mit Fragen des Datenschutzes, der Datensicherheit und des IT-Rechts beschäftigt. Seit Juni 2025 leitet sie den Fachbereich Cybersicherheit in Unternehmen beim Bundesamt für Sicherheit in der Informationstechnik.

Autorinnen und Autoren:
Prof. Dr.-Ing. Patrick-Benjamin Bök, Hochschule Rhein-Waal | Prof. Dr. Matteo Große-Kampmann, Hochschule Rhein-Waal | RA Frank Ingenrieth, LL.M., Berlin | Ulrich Irnich, Executive Tech Advisor, Düren | RA Sascha Kremer, FAIT-Recht, Köln | Rudolf Müller, Geschäftsführer ECKD, Kassel | Dr. Judith Nink, Bundesamt für Sicherheit in der Informationstechnik, Bonn | RA Dr. Carlo Piltz, Berlin | RA Christoph Y. Pitzer, LL.M. oec., Köln | Prof. Dr. Matthias Reintjes, Hochschule-Rhein-Waal | Dr. Tobias Rothkegel, Hamburg | Philipp Christopher Rothmann, Geschäftsführender Gesellschafter IT-Security Coach GmbH, Olpe | RA Dr. Daniel Walter, Köln | RA Alexander Weiss, Berlin | RA Dr. Julian Zaudig, Köln | Udo Zaudig, Chief Information Security Officer, Stadt Köln
</li>

Governance | Recht | Technik

StichwortKommentar Digitale Sicherheit

Palgrave Studies of Entrepreneurship and Social Challenges in Developing Economies

Synergy of artificial intelligence (AI) and machine learning (ML) is infinite, leveraging intelligence to foster entrepreneurship. AI and ML concept is much talked in crowd but less explored by the entrepreneurs…This book dissects every aspect of transcending technology that impacts the new horizon of entrepreneurship. A good read for everyone…Rebeca-Illiana Arévalo-Martínez
 , PhD, Research Director, Universidad Anáhuac México
 With the manifold impact of AI, the only way for entrepreneurs to get out of a tight box is to adapt to the technology ecosystem…with the progressing AI, world is summoning the future and entrepreneurs are not far behind…flowing with concurrence, this book bridges a plethora of new concepts on AI and ML connecting entrepreneurs to platform skills and business modeling with examples and case studies…an enriching contribution and a timely book for all…Neil Hernández Gress
 , PhD, Director for Research, Tecnologico de Monterrey, Mexico
 This book focuses on divergent discussions on entrepreneurial challenges in context to the adaptation to artificial intelligence (AI), machine learning (ML), and robotics to enhance entrepreneurial practices and scope of decision-making. Discussions in this book analyze the chronological growth in technology and the nexus between AI and entrepreneurship to harness the power of technology. This book helps readers to explore new concepts like the synergy between AI and human factors, AI-led business modelling, and working with the real-time entrepreneurial ecosystem.Rajagopal
 is Distinguished Professor of Marketing at EGADE Business School of Tecnologico de Monterrey (ITESM), at Mexico City Campus and Life Fellow of the Royal Society for Encouragement of Arts, Manufacture and Commerce, London.&nbsp; He has been Visiting Professor at Boston University, Boston, Massachusetts since 2013.&nbsp;
 Ananya Rajagopal 
 is Research Professor at Universidad Anáhuac Mexico. She is a member of the advisory panel of Elsevier Insights and in the editorial board of Humanities and Social Science Communications Journal (Springer Nature). She has contributed five books and several chapters in edited books.

This book focuses on divergent discussions on entrepreneurial challenges in context to the adaptation to artificial intelligence (AI), machine learning (ML), and robotics to enhance entrepreneurial practices and scope of decision-making. Discussions in this book analyze the chronological growth in technology and the nexus between AI and entrepreneurship to harness the power of technology. This book helps readers to explore new concepts like the synergy between AI and human factors, AI-led business modelling, and working with the real-time entrepreneurial ecosystem.

Enhancing Competitiveness and Innovation in Emerging Markets

Artificial Intelligence and Entrepreneurship

Künstliche Intelligenz (KI) prägt viele Bereiche von Wirtschaft, Verwaltung und Gesellschaft. Dabei wirft sie tiefgreifende rechtliche, technische und ethische Fragen auf. Die Regulierung nimmt zwar zunehmend Gestalt an, bleibt aber Stückwerk - und steht der rasanten Entwicklung der Technologie und ihren immer neuen Herausforderungen gegenüber.

Maßgeschneiderter Zugang zum KI-Recht
Der neue StichwortKommentar KI von Dornis/Eichelberger/Seckelmann ermöglicht einen strukturierten Zugang zu einem der dynamischsten Rechtsgebiete unserer Zeit. 

Das Werk
<li>erschließt die zentralen Fragen und Problemfelder rund um KI nach Stichwörtern
</li><li>bietet einen schnellen und strukturierten Zugriff auf alle relevanten Inhalte und
</li><li>verbindet die systematische Tiefe eines Kommentars mit der Benutzerfreundlichkeit eines Lexikons. 

Die alphabetische Ordnung ermöglicht ein gezieltes Nachschlagen, während die Beiträge fundierte juristische und interdisziplinäre Analysen zu jedem Stichwort liefern. 

360 Grad-Blick mit dem SWK-KI
Die kommentierten Begriffe decken alle wesentlichen rechtlichen, technischen, wirtschaftlichen und ethischen Aspekte der KI ab. Das Spektrum umfasst sowohl spezifische Rechtsprobleme als auch übergeordnete Themen. Ein Schwerpunkt liegt auf der Interaktion von KI und Gesellschaft. Behandelt werden unter anderem Algorithmentransparenz, autonomes Fahren, Bias und Diskriminierung. Weitere Themen sind Hochrisiko-KI-Systeme, Datenschutz, Produktsicherheit und Regulierung.

Fazit
Mit seinem praxisorientierten Ansatz, seiner klaren Struktur und seiner interdisziplinären Perspektive setzt der SWK-KI Maßstäbe. Das Werk ist ein unverzichtbarer Begleiter für alle, die sich mit KI beschäftigen - sei es in der Entwicklung, Anwendung oder Regulierung. Es richtet sich daher gleichermaßen an Rechtsanwält:innen, Unternehmensjurist:innen, Compliance und AI Officer, Entwickler:innen, Behörden, Versicherungen, Interessenverbände und Wissenschaftler:innen. 

Die Autor:innen des von Prof. Dr. Tim W. Dornis, J.S.M.; Prof. Dr. Jan Eichelberger, LL.M. oec. und Prof. Dr. Margrit Seckelmann, M.A. herausgegebenen Werkes setzen sich seit Jahren intensiv mit den rechtlichen Fragestellungen und Herausforderungen der KI auseinander. Sie verfügen über umfassende Fachkenntnisse in diesem sich stetig weiterentwickelnden Fachgebiet: 
Katharina Baehr | Prof. Dr. Susanne Beck, LL.M. | Prof. Dr. Nadja Braun Binder | Prof. Dr. Petra Buck-Heeb | Prof. Dr. Tim W. Dornis, J.S.M. | Prof. Dr. Jan Eichelberger, LL.M. oec. | Prof. Dr. Jörg Fritzsche | Birte-Gesa Früh, LL.M. | Prof. Dr. Malte Gruber | Prof. Dr. Axel Halfmeier, LL.M. | RiAG Mario Hilzinger | StA Richard Hu | Prof. Dr. Dietmar Hübner | RAin Dr. Lisa Käde | RA Prof. Dr. Thomas Klindt | Jari Kohne | Roman Konertz, LL.M., B.Sc. | Asst.-Prof. Dr. Pascal König | Niklas Krause, LL.M. | Dr. Wolfgang Kreißig | Dr. Simone Kuhlmann | Nils Lilienthal | Finja Maasjost | Jann Maatz | Lina Marquard, LL.B. | RAin Julia Meggyes | Hendrik Meier | Prof. Dr. Juliane Mendelsohn | Prof. Dr. Catrin Misselhorn | Inga Müller | RiAG Dr. Jan Mysegades | Dr. Ioannis Revolidis | Nelli Schlee | Prof. Dr. Hans-Patrick Schroeder | Prof. Dr. Margrit Seckelmann, M.A. | Dr. Sikandar Siddiqui | Dr. Pascal T. Sierek | Prof. Dr. Christoph Sorge | Prof. Dr. Felipe Temming, LL.M. | Prof. Dr. Antje von Ungern-Sternberg | Dorothea Utermöhlen, LL.M. | PD Dr. Tobias Voigt | Dr. Mike Weber | Prof. Dr. Christoph Wendelstein | Jannik Zeiser, M.Sc.
</li>

Künstliche Intelligenz (KI) prägt viele Bereiche von Wirtschaft, Verwaltung und Gesellschaft. Dabei wirft sie tiefgreifende rechtliche, technische und ethische Fragen auf. Die Regulierung nimmt zwar zunehmend Gestalt an, bleibt aber Stückwerk – und steht der rasanten Entwicklung der Technologie und ihren immer neuen Herausforderungen gegenüber.

Maßgeschneiderter Zugang zum KI-Recht
Der neue StichwortKommentar KI von Dornis/Eichelberger/Seckelmann ermöglicht einen strukturierten Zugang zu einem der dynamischsten Rechtsgebiete unserer Zeit. 

Das Werk
erschließt die zentralen Fragen und Problemfelder rund um KI nach Stichwörtern
bietet einen schnellen und strukturierten Zugriff auf alle relevanten Inhalte und
verbindet die systematische Tiefe eines Kommentars mit der Benutzerfreundlichkeit eines Lexikons. 

Die alphabetische Ordnung ermöglicht ein gezieltes Nachschlagen, während die Beiträge fundierte juristische und interdisziplinäre Analysen zu jedem Stichwort liefern. 

360 Grad-Blick mit dem SWK-KI
Die kommentierten Begriffe decken alle wesentlichen rechtlichen, technischen, wirtschaftlichen und ethischen Aspekte der KI ab. Das Spektrum umfasst sowohl spezifische Rechtsprobleme als auch übergeordnete Themen. Ein Schwerpunkt liegt auf der Interaktion von KI und Gesellschaft. Behandelt werden unter anderem Algorithmentransparenz, autonomes Fahren, Bias und Diskriminierung. Weitere Themen sind Hochrisiko-KI-Systeme, Datenschutz, Produktsicherheit und Regulierung.

Fazit
Mit seinem praxisorientierten Ansatz, seiner klaren Struktur und seiner interdisziplinären Perspektive setzt der SWK-KI Maßstäbe. Das Werk ist ein unverzichtbarer Begleiter für alle, die sich mit KI beschäftigen – sei es in der Entwicklung, Anwendung oder Regulierung. Es richtet sich daher gleichermaßen an Rechtsanwält:innen, Unternehmensjurist:innen, Compliance und AI Officer, Entwickler:innen, Behörden, Versicherungen, Interessenverbände und Wissenschaftler:innen. 

Die Autor:innen des von Prof. Dr. Tim W. Dornis, J.S.M.; Prof. Dr. Jan Eichelberger, LL.M. oec. und Prof. Dr. Margrit Seckelmann, M.A. herausgegebenen Werkes setzen sich seit Jahren intensiv mit den rechtlichen Fragestellungen und Herausforderungen der KI auseinander. Sie verfügen über umfassende Fachkenntnisse in diesem sich stetig weiterentwickelnden Fachgebiet: 
Katharina Baehr | Prof. Dr. Susanne Beck, LL.M. | Prof. Dr. Nadja Braun Binder | Prof. Dr. Petra Buck-Heeb | Prof. Dr. Tim W. Dornis, J.S.M. | Prof. Dr. Jan Eichelberger, LL.M. oec. | Prof. Dr. Jörg Fritzsche | Birte-Gesa Früh, LL.M. | Prof. Dr. Malte Gruber | Prof. Dr. Axel Halfmeier, LL.M. | RiAG Mario Hilzinger | StA Richard Hu | Prof. Dr. Dietmar Hübner | RAin Dr. Lisa Käde | RA Prof. Dr. Thomas Klindt | Jari Kohne | Roman Konertz, LL.M., B.Sc. |  Asst.-Prof. Dr. Pascal König | Niklas Krause, LL.M. | Dr. Wolfgang Kreißig | Dr. Simone Kuhlmann | Nils Lilienthal | Finja Maasjost | Jann Maatz | Lina Marquard, LL.B. | RAin Julia Meggyes | Hendrik Meier | Prof. Dr. Juliane Mendelsohn | Prof. Dr. Catrin Misselhorn | Inga Müller | RiAG Dr. Jan Mysegades | Dr. Ioannis Revolidis | Nelli Schlee | Prof. Dr. Hans-Patrick Schroeder | Prof. Dr. Margrit Seckelmann, M.A. | Dr. Sikandar Siddiqui | Dr. Pascal T. Sierek | Prof. Dr. Christoph Sorge | Prof. Dr. Felipe Temming, LL.M. | Prof. Dr. Antje von Ungern-Sternberg | Dorothea Utermöhlen, LL.M. | PD Dr. Tobias Voigt | Dr. Mike Weber | Prof. Dr. Christoph Wendelstein | Jannik Zeiser, M.Sc.

Stichwortkommentar Künstliche Intelligenz

'Extraordinary... beautifully written, clear-eyed and engaged in the deepest ethical questions of our day' Rory Stewart A revelatory portrait of the visionary behind Google DeepMind, the race to control the future - and what it means to win Even in a tech world crowded with visionary leaders, Demis Hassabis is recognized as a special case. Born to working class, immigrant parents in North London, a chess prodigy by five and wizard coder in his teens, he turned down a seven-figure job offer from a video-game studio to study science at Cambridge. Long before the current obsession with AI, he founded the path-breaking company DeepMind in order to pursue a single, audacious goal: the dream of artificial superintelligence, which would solve humanity's hardest problems, change life and work as we know it, and perhaps even unlock the deepest mysteries of the Universe. For his scientific achievements, he won a Nobel Prize in 2024, and his company, now Google DeepMind, is considered the tech giant's engine room. For the past three years, Sebastian Mallaby has had unprecedented access to Hassabis and DeepMind, conducting hundreds of hours of interviews with him and his inner circle as well as detractors and rivals at other companies. The result is a revelation-packed portrait of a singular mind and a historic reckoning with the AI revolution, a shift potentially more significant than any since the dawn of complex thought 70,000 years ago. As Mallaby chronicles, DeepMind is locked in an arms race with Silicon Valley competitors to build artificial general intelligence, and thereby become the keeper of humanity's future. Yet this is not a Silicon Valley story. Hassabis has remained in Britain, and unlike his rivals, his aims are not wealth and power but scientific enlightenment. Like them, however, he is haunted by the memory of Robert Oppenheimer, the creator of the atom bomb. He aims to control the technology, but the technology may ultimately control him - and humanity writ large.

Demis Hassabis, DeepMind and the Quest for Superintelligence

The Infinity Machine

'Engaging, insightful, panoramic' Mustafa Suleyman, CEO of Microsoft AI &amp; Cofounder of DeepMind 'An eye-opening exploration of a revolution unfolding before our eyes' New York Journal of Books Stunning advances in digital technology have introduced a new wave of human-like AI systems. Chatbots like ChatGPT, Claude, and Gemini are already reshaping economies, challenge democracies, and reshaping society in unpredictable ways. And soon, these AI systems could make autonomous decisions on their users' behalf, transforming everything we do. Understanding how they work is crucial. Can AI systems think, know, and understand?Could they manipulate or deceive you, and if so, what might they make you do? Whose interests do they represent? When will they be able to move beyond words and take action in the real world? Neuroscientist and AI researcher Christopher Summerfield explores these questions, charting AI's evolution from early ideas in the seventeenth century to today's deep neural networks. His book is the most accessible, up-to-date, and authoritative exploration of this radical technology. With an understanding of AI's inner workings, we can address the existential question of our age: can we look forward to a technological utopia, or are we writing ourselves out of history? 'As a leading authority...Summerfield is perfectly situated to explore the meaning and implications of these machines that are so uncannily like - and unlike - ourselves' Brian Christian, co-author of Algorithms to Live by 'You might choose to be alarmed, excited, or indifferent to LLMs, but you should read Chris's book before you decide' Mike Woolridge, author of The Road to Conscious Machines

How AI Learned to Talk and What It Means

These Strange New Minds

THE AGI CHRONICLES is not a futurist manifesto, an academic chin-stroker, a corporate biography, or a self-help manual. It's the inside story of the birth of AGI, as told by the people who are bringing it into existence, or trying to stop it from coming into existence, and who are grappling with the consequences before anyone else.Building Artificial General Intelligence - a machine that is as smart or smarter than humans, at everything our brains can do - has been the goal for the world's biggest technology companies for about the last decade, and it is probably the most consequential technological project in history.&nbsp;Only a few hundred people are fully awake to what's actually happening on the AI frontier, or how short the timelines are. Powerful AI will reshape society -&nbsp;and most governments and big corporations already view this conclusion as obvious, as evidenced by the trillions of dollars they're spending to get there first.&nbsp;New York Times&nbsp;journalist Kevin Roose may be the only person who can tell this story. He has put his life on hold, gone to the heart of the action, interviewed those who have been involved in building this technology, digging up secrets and putting together the first major behind-the-scenes account of this race.And the people building powerful AI are much, much weirder than you'd think. If you dig beneath the corporate veneers, the AI scene here is full of messianic claims, cult-like dynamics, and a degree of belief in the inevitability and imminence of powerful AI that can strike the uninitiated as genuinely insane.This is gripping, characterful, first draft of history that reads like a non-fiction thriller, for readers of THE BIG SHORT, CARELESS PEOPLE and AMERICAN PROMETHEUS. It's the book that people will turn to one hundred years from now as a defining account of the moment our species was changed for ever.

The AGI Chronicles

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

A roadmap for business leaders to unlock the full potential of data, machine learning, and artificial intelligenceMore than 90 percent of businesses surveyed say they want to capitalize on data--but two-thirds admit to feeling stuck. What these leaders do not realize is that to succeed at becoming a data-driven business requires developing a nuanced understanding of why data holds such transformative power, what a data-inspired culture looks like, and how to get there.Data Inspired shows that the secret isn't to be more data-driven--it is to become data-inspired. This book reveals the crucial strategic distinction between using data to optimize existing operations and using them as a catalyst for deep transformation and innovation. Wernicke argues that this success hinges less on technology and more on reshaping an organization's culture and decision-making habits. And with the book's proven principles, real-world examples, and comprehensive toolbox of methods for building a culture of evidence-based inquiry, readers will learn that success means far more than just adding more data to a business: it is about creating a thoroughly data-inspired organization with innovative work methods, new structures, and unmatched efficiency.Data Inspired will help business leaders, managers, and data professionals move beyond incremental improvements to achieve lasting, powerful change.

Building an Organizational Culture of Inquiry for Lasting Transformation

Data Inspired

Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks

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