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Can Our Organization Really Leverage Artificial Intelligence?

Editor's Note: Take a look at our featured best practice, ChatGPT: Examples & Best Practices to Increase Performance (85-slide PowerPoint presentation). OpenAI ChatGPT has advanced language processing. It can write like a human and speak naturally. Texting, chatbots, and conversational history are some of its uses. This talk will show you how to use ChatGPT to improve your results in the above areas. We'll cover how to use ChatGPT to create [read more]

Also, if you are interested in becoming an expert on Digital Transformation, take a look at Flevy's Digital Transformation Frameworks offering here. This is a curated collection of best practice frameworks based on the thought leadership of leading consulting firms, academics, and recognized subject matter experts. By learning and applying these concepts, you can you stay ahead of the curve. Full details here.

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Artificial Intelligence AKA AI is here. All businesses are aware of AI and recognize the tremendous potential for AI. AI enables new approaches to existing business models, operations, and deployment of people. These changes can fundamentally alter the way our organization operates.

However, if you’re not a high-tech company, are you really sophisticated enough to leverage AI?

The answer is yes, because AI comes in a spectrum of forms, with varying levels of complexity and sophistication, dependent on your organization’s level of Digital Maturity. In fact, we can categorize AI into 3 forms (depicted in the slide below):

  1. Assisted Intelligence – AI that improves what we are already doing (e.g. Process Automation).
  2. Augmented Intelligence – AI that enables us to do things we otherwise wouldn’t do (e.g. Machine Learning).
  3. Autonomous Intelligence – AI that acts on its own, deciding its own actions on behalf of our organization’s goals (e.g. Optimus Prime).

Assisted Intelligence

Assisted Intelligence improves what people and organizations are currently doing. In other words, it amplifies the value of existing activities.

Assisted Intelligence typically involves clearly defined, rule-based, and repeatable activities. Assisted Intelligence applications also include modeling of complex realities, so that organizations can test decision and scenarios with less risk.

It is currently widely available and deployed. The most common applications include Robotic Process Automation (RPA).  When an organization undertakes Digital Transformation, RPA is typically the lowest hanging fruit driving the most immediate impact.

For more information on RPA, refer to this framework from the FlevyPro Library: Robotics Process Automation (RPA)

Assisted Intelligence applications are becoming more and more widely used in enterprise software platforms. This should drive to substantial improvements in key performance metrics, e.g. labor productivity, revenues or margins per employee, and average time to complete various business processes.

Augmented Intelligence

Augmented Intelligence enables people and organizations to do things they otherwise couldn’t do. It does this by giving new capability to human activity. To develop applications based on Augmented Intelligence, we need to imagine products, services, or processes that would not be possible at all without AI.

Unlike Assisted Intelligence, Augmented Intelligence fundamentally changes the nature of the task. Business models thus change accordingly.

Augmented Intelligence applications are typically based on Machine Learning (ML) and Natural Language Generation (NLG) algorithms.

A good example of this is Netflix. Netflix leverages ML to suggest choices for subscribers that they probably would not have found themselves. This is done based on both the customer’s own behavior patterns and those of the audience at large.

Autonomous Intelligence

This is the highest state of AI. Autonomous Intelligence creates and deploys machines that act on their own. Only the most advanced tech companies are utilizing this form of AI. A great example of Autonomous Intelligence is self-driving vehicles.

Regardless of your level of Digital Maturity, AI should play a part in some form and within your Digital Transformation Strategy.  The key is to determine the proper strategic AI applications and develop the competencies and capabilities for those applications.

Once we’ve identified specific applications that use AI for our organization, we need to develop an AI Strategy to implement these applications. To do this, we follow a 4-step process:

  1. Develop an AI Strategy aligned with our overall corporate strategy
  2. Develop enterprise-wide AI capabilities
  3. Institutionalize our portfolio of AI capabilities
  4. Ensure appropriate and sufficient Governance

Interested in gaining more understanding of AI Strategy Development? You can learn more and download an editable PowerPoint about Digital Transformation: Artificial Intelligence (AI) Strategy here on the Flevy documents marketplace.

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35-slide PowerPoint presentation
This is a primer to ChatGPT and includes foundational concepts to understanding the application, including GPT (Generative Pre-trained Transformer) and Prompt Engineering. First, what is ChatGPT? ChatGPT is a pre-trained language generation model developed by OpenAI. It uses deep learning [read more]

Want to Achieve Excellence in Digital Transformation?

Gain the knowledge and develop the expertise to become an expert in Digital Transformation. Our frameworks are based on the thought leadership of leading consulting firms, academics, and recognized subject matter experts. Click here for full details.

Digital Transformation is being embraced by organizations of all sizes across most industries. In the Digital Age today, technology creates new opportunities and fundamentally transforms businesses in all aspects—operations, business models, strategies. It not only enables the business, but also drives its growth and can be a source of Competitive Advantage.

For many industries, COVID-19 has accelerated the timeline for Digital Transformation Programs by multiple years. Digital Transformation has become a necessity. Now, to survive in the Low Touch Economy—characterized by social distancing and a minimization of in-person activities—organizations must go digital. This includes offering digital solutions for both employees (e.g. Remote Work, Virtual Teams, Enterprise Cloud, etc.) and customers (e.g. E-commerce, Social Media, Mobile Apps, etc.).

Learn about our Digital Transformation Best Practice Frameworks here.

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Everyone has heard of ChatGPT. Immediately after launch, it gained both fame and infamy, and grew to become the fastest growing application of all time. But, have you used it? And, more importantly, do you understand how to maximize its usage to derive the greatest value for your work or [read more]


 
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About David Tang

David Tang is an entrepreneur and management consultant. His current focus is Flevy, the marketplace for business best practices (e.g. frameworks & methodologies, presentation templates, financial models). Prior to Flevy, David worked as a management consultant for 8 years. His consulting experience spans corporate strategy, marketing, operations, change management, and IT; both domestic and international (EMEA + APAC). Industries served include Media & Entertainment, Telecommunications, Consumer Products/Retail, High-Tech, Life Sciences, and Business Services. You can connect with David here on LinkedIn.

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