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Artificial Intelligence Education Reading

Latest Read: Future Ready

Future ready: The four pathways to capturing digital value by Stephanie Woerner, Peter Weill, and Ina Sebastian.

Future ready : the four pathways to capturing digital value by Stephanie Woerner, Peter Weill, and Ina Sebastian

Stephanie is director and a research scientist at the Center for Information Systems Research (CISR) at the MIT Sloan School of Management. She holds a PhD in Organizational Behavior from Stanford. She has done presentations and workshops for top management teams and boards of large global firms, been a subject matter expert for the Wall Street Journal CEO Council, and moderated a number of panels, including one on the future of financial services for the Federal Reserve.

Peter is professor of Information Systems Research at the MIT Sloan School of Management, and chairman emeritus of the MIT CISR. He holds a PhD in Philosophy from NYU. He has also published in MIT Sloan Management Review, Harvard Business Review, the Wall Street Journal, and academic outlets. Ziff Davis recognized Weill as #24 of “The Top 100 Most Influential People in IT” and the highest-ranked academic.

Ina is a research scientist at the MIT CISR. She holds a PhDs in International Management from the University of Hawaii and is published in MIT Sloan Management Review, Management Information Systems Quarterly Executive, and academic outlets.

So, can you create a future-ready organization? Seems to be the hot topic in the new ChatGPT age of AI. Stephanie, Peter, and Ina are indeed addressing the real world of Schneider Electric’s IoT growth, CEMEX, WeChat, or even Fidelity Investments. Each has made a successful digital transformation to become as future ready as Amazon Web Services.

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Artificial Intelligence Education Reading

Latest Read: HBR’s 10 Must Reads 2024

HBR’s 10 Must Reads 2024: The Definitive Management Ideas of the Year from Harvard Business Review

HBR’s 10 Must Reads 2024: The Definitive Management Ideas of the Year from Harvard Business Review

Perhaps no better way to close 2023 than by digesting HBR’s 10 Must Reads 2024. These articles are a great overview to insights by authors over the last year. Digital transformation is the most impactful as organizations are jumping into AI in markets still impacted by the pandemic.

This actually leads with a challenge for leaders. In “Managers Can’t Do It All” the combination of reengineering, digitization, AI initiatives and the lingering pandemic remote work efforts, the idea of what any “manager” role today has been completely altered.

Organizations must now realize that hiring new managers into your organization require making teams more successful than in the past, prior to the pandemic. their role in coaching has also dramatically changed.

To succeed, organizations must re-define a manager’s role. Case studies with Standard Chartered, IBM, and Telstra reveal these organizations help managers develop new skills, alter long standing processes yet also redefine roles and responsibilities in order to strengthen new organizational priorities.

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Artificial Intelligence Education Reading

Latest Read: HBR’s 10 Must Reads on Leading Digital Transformation

HBR’s 10 Must Reads on Leading Digital Transformation by Harvard Business Review published in January 2021.

HBRs 10 Must Reads on Leading Digital Transformation by Harvard Business Review

This outlines a much needed read on the hot topic of digital transformation. The issue to certainly understand is how this differs from digital disruption. There are several articles that really stand out and make this a valuable read for all organizations regardless of their AI maturity level.

A key must read is Leandro DalleMule and Thomas H. Davenport’s “What’s Your Data Strategy?” This was a bestselling article from HBR. and their article is another can’t miss addressing data. Simply put, in order to remain competitive in a post pandemic world, organizations must manage the quantities of data very carefully.

Perhaps their suggestion of ShadowIT leaving flawed n and duplicate data within an organizations will hamper any true embrace of AI.

In addition they address how organizations must strive to develop a balanced strategy between offensive and defense data management. this is a really great read. Again, looking at a post pandemic world, regardless of marketplace, organizational data must be viewed as a key strategy as we embrace data lakes.

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Artificial Intelligence Education Reading

Latest Read: HBR’s 10 Must Reads on AI

HBR’s 10 Must Reads on AI by Harvard Business Review. If you read nothing else on AI and machine learning, start here.

HBR’s 10 Must Reads on AI by Harvard Business Review

This new release (September 2023) is certainly providing the most insightful articles by Tom Davenport, Marco Iansiti, Tsedal Neeley, and Ajay Agrawal. Each article is presented with three ideas: Problem, Causes, and Solutions.

The collected insights provided a cornerstone for understanding AI and the methods to deploy across any organization.

Perhaps ChatGPT Is a Tipping Point for AI by Ethan Mollick is a perfect article to convey how this service, less than 18th months old is this generation’s Netscape Navigator killer app.

The most important lesson: several articles have been expanded into published books that I find to be must reads. Organizations must digest their writing in order to fully understand the current world of AI.

To that end, today’s highly connected internet is much more robust than it was 30 years ago when the browser appeared and forever changed the world. But threats by foreign countries and organizations that push misinformation will confuse many. That is the difference to Netscape’s introduction.

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3D Printing Artificial Intelligence Education Reading Technology

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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