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Latest Read: HBR’s 10 Must Reads on AI, Analytics, and the New Machine Age

HBR’s 10 Must Reads on AI, Analytics, and the New Machine Age by Harvard Business Review. Harvard Business Review has selected 10 articles focusing on intelligence machines and why your strategy cannot ignore their impact.

HBR's 10 Must Reads on AI, Analytics, and the New Machine Age

Published in January 2019 these article certainly provide insights to the new machine age. Each article is presented with three ideas: Problem, Causes, and Solutions.

This very new class of intelligent machines are indeed revolutionizing business through data. Sensors now embedded can gather and transmit data. So, data analytics and machine learning are uniting to provide organizations powerful, data driven insights not possible even ten years ago. The cornerstone of these technologies is miniaturization and supply chain manufacturing costs.

When Organizations and smart machines are correctly brought together, teams will being hiring, not firing. The data outcomes will release new levels of productivity in a much shorter timespan. organizational Leaders will see the big idea new machines provide. As a result, leadership must rethink strategy, managing people, and introducing new services.
The downstream impact: Drone deployments will need retooling of current services into the cloud via mobile apps. Just wait until drones mature and move into commercial spaces. This is a far cry from perceived military only use for drones.

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Artificial Intelligence Education Innovation Reading

Latest Read: The Digital Mindset

The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI by Paul Leonardi and Tsedal Neeley.

The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI by Paul Leonardi and Tsedal Neeley

Paul Leonardi, Ph.D., is Department Chair and Professor of Technology Management at UC Santa Barbara. He holds a MA from University of Colorado at Boulder and a Ph.D. in Management Science and Engineering from Stanford University.

Tsedal Neeley is Professor of Business Administration and Senior Associate Dean of Faculty Development and Research Strategy at the Harvard Business School. She received her Ph.D. from Stanford University in Management Science and Engineering.

Above all, this book is a great primer addressing well developed digital technologies: algorithms, artificial intelligence, machine learning, and deep learning. Their lessons served include today’s society has become well adjusted to web technologies. Markets and industries are in fact well versed with these technologies. Users must be fully aware that AI is just the next evolution to the way workflows are expected.

As long time collaborators, Paul and Tsedal outline their ‘digital mindset’ across three areas: Collaboration, Computation, and Change. By adopting all three, users can in fact achieve a digital mindset. This includes perspectives that will lead to developing new digital skills. In addition, their message for Leaders is to adopt all three approaches. In leading their organizations, they will prepare current staff for a successful future as digital transformations continue to accelerate.

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Artificial Intelligence Education Innovation Reading

Latest Read: All-in on AI

All-in On AI: How Smart Companies Win Big with Artificial Intelligence by Thomas H. Davenport. Tom Davenport holds the President’s Chair in Information Technology and Management at Babson College.

All-in On AI: How Smart Companies Win Big with Artificial Intelligence by Thomas H. Davenport

As previously stated, Tom’s vast experience includes directing research centers at Ernst & Young, McKinsey & Company, CSC Index, and the Accenture Institute of Strategic Change. Tom holds a B.A. in sociology from Trinity University and M.A. and Ph.D. in sociology from Harvard University.

Tom is certainly providing an overview to large multinational corporations (Deloitte) embrace of AI and how they leverage AI for a competitive business advantage. this book is more targeting large multinationals including, Anthem, Airbus, and Capital One.

However Tom is providing insights to how the next phase in AI deployments are now emerging. It is not hard to say multinationals will need to drive new business models and increase each organizations fluency in AI moving forward.

AI is here to stay. So, to help multinational businesses to understand this transition will have hit and misses. This is not an easy or cheap endeavor, but it is where our future is going, so get on board if you want to succeed.

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Artificial Intelligence Education Innovation Reading

Latest Read: Working with AI

Working with AI: Real Stories of Human-Machine Collaboration by Tom Davenport and Steven Miller. Tom Davenport holds the President’s Chair in Information Technology and Management at Babson College.

Working with AI: Real Stories of Human-Machine Collaboration by Thomas H. Davenport, Steven M. Miller

Tom’s vast experience includes directing research centers at Ernst & Young, McKinsey & Company, CSC Index, and the Accenture Institute of Strategic Change. Tom holds a B.A. in sociology from Trinity University and M.A. and Ph.D. in sociology from Harvard University.

Working with AI breaks certainly down misinformation that AI will kill jobs. In fact, a series of case studies reveal how AI adoption has led to increased hiring. This is revealed by new insights and efficiencies AI tools are delivering to organizations.

Will AI remove some jobs? Yes of course, however the frenzy of AI being an apocalyptic job destroyer is lost in today’s movies and Netflix shows. To be more accurate, in 2023 more organizations are being held to account by their boards regarding the adoption of AI tools.

The book is revealing how AI alters the way organizations can change long standing workflows. This allows a reallocation of some tasks but not entire jobs. The book is a series of 29 business case studies.

Indeed the concluding chapters address a wider view of AI in the workplace including the platforms needed to succeed. This certainly makes it possible to experience real world deployments and the direct impacts AI tools have upon the organizations today.

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Artificial Intelligence Education Reading Technology

Latest Read: Think for Yourself

Think for Yourself: Restoring Common Sense in an Age of Experts and Artificial Intelligence by Vikram Mansharamani. Vikram was a Lecturer at Harvard University and also previously lectured at Yale University.

Think for Yourself: Restoring Common Sense in an Age of Experts and Artificial Intelligence by Vikram Mansharamani

He holds a Ph.D. and Masters from MIT’s Sloan School of Management, and a Masters in Political Science also from MIT. He holds a BA from Yale University.

In our AI world Vikram pushes the pause button, for good reason. We have lost the ability to think for ourselves. He provides solid examples of AI gone wrong. As indicated the bookcover of a car driving into a river is a true story.

On the island of Sardinia, the town began erecting signs “Do not follow the directions of Google Maps.” 144 drivers were requesting ‘rescue’ services. As a result of blindly following the AI mapping application.

The message is also that we must question AI. In fact, we must outright challenge the so called experts, their products, and how they position their services. While it may work for one service, it will certainly not work for all.

Vikram rightfully calls out the so called experts. They live in their bubble and fail to consider the wider impacts across our world, results can even include death.