Summary

Generative AI has many business leaders imagining the possibilities for their industry as well as raising concerns about its implications. Discover how your business can responsibly leverage generative AI solutions at scale, evaluating both the promises and risks associated with deploying this exciting technology.

During the session, our experts will discuss:

• Foundation Models, Generative AI, and the innovations driving the latest excitement in the field of AI. Learn how they differ from other AI offerings.
• Real-world use cases of how enterprises are already deriving business value from Generative AI.
• Understand the potential challenges such as bias, hallucination, security, IP, cost, and more.
• How enterprises can responsibly and securely deploy these models at scale.

Join IBM Consulting as we share our point-of-view around how enterprises can best drive value from Generative AI & Foundation Models in a responsible way and scale it across your business.
You will gain an understanding of real-world client examples, business potential, and how to mitigate the pitfalls of this new AI technology.

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Michelle Rehak
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Wow! Waiting for it!

I hope that this webinar will not only cover the Generative AI topic by itself - as interpreted by IBM-, but also how IBM's offerings will (or will not) change in the face of such technological advances. In other words, should we expect to see augmented versions of some IBM Watson products? (e.g. Watson Assistant). Seeing a company roadmap as it relates to Generative AI would be ideal. 

Hi everyone,

You can watch the on-demand recording here. Please share any of your questions below.

Hi Michelle - I am a IBM business partner (and ex IBMer) I could not find the download link for the presentation despite it saying we could download the file in the main document notice?  Thanks Alessandro

Thank you!

Hi Michelle, can you tell me where I can find the slides? tks! 

Generative AI is undoubtedly an exciting field, but it is crucial for businesses to consider both the promises and potential risks associated with this technology before deploying it at scale.

To start, it's important to understand how Generative AI differs from other AI offerings. Unlike traditional AI, which is designed to provide specific answers to specific questions, Generative AI can create new and original content, such as images, text, or even music. This means that it has a wide range of potential applications in industries like fashion, art, and media, where creativity is highly valued.

Real-world use cases of Generative AI can be found across many industries, including advertising, design, and entertainment. For example, Generative AI has been used to create personalized advertising campaigns based on customer data, to design more efficient manufacturing processes, and even to generate entire virtual worlds for video games.

However, it's important to acknowledge that there are also potential challenges associated with Generative AI. These include the risk of bias in training data, the possibility of "hallucinations" where the AI generates content that is not accurate or relevant, and concerns around security and intellectual property. Additionally, the cost of implementing and maintaining Generative AI systems can be significant.

To responsibly and securely deploy Generative AI models at scale, businesses must carefully consider these challenges and develop strategies for mitigating them. This may involve investing in diverse and representative training data, implementing robust security protocols, and establishing clear guidelines around intellectual property rights.

Overall, while there are certainly risks associated with Generative AI, there are also enormous potential benefits for businesses that can successfully harness this technology. By carefully evaluating the opportunities and challenges associated with Generative AI, and by taking a responsible and strategic approach to deployment, businesses can unlock the full value of this exciting new field.

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ChatGPT has the potential to revolutionize the way businesses operate. It can help businesses save time, improve efficiency, and increase profits. As ChatGPT continues to develop, it will become even more powerful and versatile. It is likely that ChatGPT will play a major role in the future of business.

The webinar's focus on addressing challenges such as bias, security, and IP is highly relevant. These issues are of utmost importance when deploying AI technologies, and understanding how to navigate them is key to successful implementation.

I'm looking forward to hearing IBM Consulting's perspective on scaling Generative AI across businesses. The ability to effectively integrate this technology throughout an organization can be a game-changer for innovation and competitiveness.

Overall, this webinar promises to be a valuable resource for anyone interested in leveraging Generative AI for business growth while ensuring responsible and ethical AI practices. I'm excited to watch the on-demand recording and gain deeper insights into this exciting field.

The session offers valuable insights into responsibly leveraging Generative AI for business while addressing challenges like bias and security. Interested individuals can watch the on-demand recording and register for more information.