Business Leadership In The AI Era – IBM’s AI Academy

Business Leadership In The AI Era – IBM’s AI Academy

Thank you for reading my latest article?Business Leadership In The AI Era – IBM’s AI Academy.?Here at?LinkedIn?and at?Forbes?I regularly write about management and technology trends.

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Remember when the internet was new? Or if you’re a little older, when computers were new? Imagine being able to relive those days, with the benefit of hindsight – having the chance to build your business into the first Google, Facebook or Amazon. That would be a pretty good opportunity, right?

Well, in 10 years’ time we’ll be saying the same thing about AI. In fact, I believe that over the next few years, AI has the potential to create opportunities that dwarf anything that was on the table back then. Some estimate that AI is set to add $16 trillion in value to the global economy by 2030. And with one quarter of c-level executives now using it, and half of organizations planning to adopt it this year, it’s clear that the race has already begun.

However, driving AI transformation almost always involves large cultural changes - and often this has to start at the top of an organization, with the leadership.

This is the thinking behind the launch of IBM’s new AI Academy, which aims to empower leaders through an online curriculum of rapid, digestible snippets of learning. By bringing leaders and the c-suite up to speed on the possibilities that are up for grabs, IBM believes more organizations will be positioned to implement AI in a way that really makes a difference.

In this piece I’ll be take a look at the C-level education that IBM has put together. I’ll also take a look at what I believe are the essential qualities a business leader needs (or needs to learn) in the era of AI-augmented working.

What Makes A Great AI Leader?

IBM’s vision is to enable a generation of business leaders who are not just excited about AI, but fully understand its potential, and have great ideas about it should be used. One interesting development is that with the speed of the changes sweeping through many industries, skills are often more vital than experience or educational achievement.

This means that leaders need to quickly develop the ability to understand what skills are needed to tackle their particular challenges, and where they’re likely to be found.

Just as important is the need for flexibility and adaptability. Becoming AI-driven often means trusting the data and acting in ways that may seem non-intuitive. At the same time, we know AI isn’t infallible, so a certain amount of gut instinct and trust in ourselves is still essential!

And alongside that, there’s a need to understand the limitations of AI, and develop our human skills in a way that lets us to complement it. There will always be situations that require human input, and being able to recognize them – and understand why it needs a human – is a necessary quality too.

Lastly, for now, being an effective AI leader really requires a passion for learning. This means keeping our knowledge of the ways that AI is impacting the world up-to-date. In a way, all AI leaders should think of themselves as explorers, seeking out new challenges and making sure their businesses are in the right state to tackle them!

The AI Academy

Recognizing that their potential audience is made up of very busy people, the academy is designed in a way that encourages bite-sized learning, while hopefully also whetting the appetite for the more in-depth resources.

The great thing is it’s totally free – and certainly makes a worthy addition to my list of best free AI courses available online. Let’s take a deeper dive into the curriculum:

AI Academy starts with an overview of how generative AI is being used in businesses today, where it’s heading, and the important facts to keep in mind along the way. It then moves on to discuss the way AI is already being used to create value, and the importance of building your strategy around the right platform and technology.

In track two, it covers the concept of foundation models, that can process and analyze vast amounts of unstructured data from right across an organization, and flexibly deploy what it learns across many different business domains and use cases.

Foundation models are quickly becoming one of the most exciting fields of AI research, and certainly one of those that’s most relevant to business, so understanding and having the confidence to work with them is critical.

It also covers some of the most important topics that any executive or leader needs to understand around trust, transparency and governance in AI.

In the third track, AI Academy takes a turn towards the practical, with in-depth explorations of two specific use cases: AI in customer services, and AI in application modernization. These are two areas where opportunities are ripe for many businesses. Both make great jumping-in points for anyone wanting to get an overview of an enterprise AI implementation from end to end.? Additional use case assets will be available in early 2024.

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Change Management and Continuous Learning

The approach chosen by IBM with their AI Academy is clearly in recognition of the fact that a field as quickly evolving as AI requires new approaches to learning and change management.

The impetus is on leaders – and those who aspire to leadership – to cultivate a strategic understanding and approach that is as adaptive and dynamic as the technology is itself.

As AI becomes critical to an ever-growing number of business operations, resources like this will become essential for those those who want to develop a mindset of adaptability and openness to continuous learning.

Building the mindset of an AI leader is something that I believe is within reach of anyone, and often it starts with finding the right teacher or learning resources.? AI Academy is certainly a great place to start and I look forward to seeing how it will grow in the future, as the challenges and opportunities around AI evolve.

Take a look at the growing collection of AI Academy content.


?You can read more about future tech and business trends in my books, The Future Internet: How the Metaverse, Web 3.0, and Blockchain Will Transform Business and Society, Future Skills: The 20 Skills And Competencies Everyone Needs To Succeed In A Digital World and Business Trends in Practice, which won the 2022 Business Book of the Year award. And don’t forget to subscribe to?my newsletter and follow me on?X (Twitter), LinkedIn, and YouTube for more on the future trends in business and technology.?


About Bernard Marr

Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. He is a?best-selling and award-winning author of 22 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has over 2 million social media followers, 1.8 million newsletter subscribers and was ranked by LinkedIn as one of the top 5 business influencers in the world and the No 1 influencer in the UK.

Bernard’s latest books are ‘Business Trends in Practice: The 25+ Trends That Are Redefining Organisations’, ‘Future Skills: The 20 Skills and Competencies Everyone Needs To Succeed In A Digital World’ and ‘The Future Internet: How the Metaverse, Web 3.0, and Blockchain Will Transform Business and Society’.



Yvonne McGinnis

DevOps Engineering, ITMLP student. l'm looking to further my educational training prior to working, or while I work. I would like to spend 4 hours in school, and 4 hours at work daily.

3 个月

Thank you all for your input and insights. Turning data into intelligence is a wonderful part of the work that we do in this industry. Give yourself a pat on the back for your significant contributions; you are truly deserving.

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Yvonne McGinnis

DevOps Engineering, ITMLP student. l'm looking to further my educational training prior to working, or while I work. I would like to spend 4 hours in school, and 4 hours at work daily.

10 个月

Being an effective DevOps IT Leader encompasses AI Technologies. As a DevOps, we are charged with. Identifying the necessary tools, executions, and the skill-sets needed to meet the demands of employers, organizations, big corporations, customers, clients, and enterprises across America. That requires tapping into data sources for data migration, and extracting quality, reliable or trustworthy data to work with AI, Watsonx, Generative AI, and other intelligence technologies that provision the insights needed to competitively succeed in a highly competitive global environment. It's about 'data transformation'. We want to realize, visualize, shape, analyze, prioritize, and ingest the data to realize true business value. This can also be accomplished via ML Models. This is only the beginning of what we know today as the "Intelligence Revolution".

Arpit Sarin

VP - Digital Virtual Assistant & Omnichannel Customer Engagement at Regions Bank

10 个月

Good stuff Bernard! Thanks for sharing!

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James Keir

Turning data into strategic information. With a very broad knowledge base I quickly find gaps and nuances in source data to extract the maximum ROI.

11 个月

Thanks for that link - Now to make the time to do the courses!

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Vuyisile Lamani

Manager at Sasol

11 个月

Thanks for sharing your insights

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