What’s the secret to GenAI? Data management!

What’s the secret to GenAI? Data management!

Everyone is talking about generative AI - they want to reap the benefits, save costs, add revenue opportunities, get more ROI, increase efficiency, and more!?

We need to remember that GenAI needs DATA, and data needs to be properly organized, stored, governed, and managed. This means we need to focus on data management before we can reap those benefits from GenAI.?

While attending Gartner’s Data & Analytics Summit, I visited the IBM booth and had a firsthand look at how businesses are using GenAI to increase productivity. I even had the chance to get a full walkthrough of various IBM demos and attend a session on the importance of GenAI across businesses with Manish Goyal and Parul Mishra.

Manish shared that today, 64% of CEOs say they face significant pressure from investors, creditors, and lenders to accelerate adoption of generative AI. However, there is a great deal of confusion about where and how generative AI will drive the greatest value for enterprise.?

Parul discussed the concept of intelligent AI assistants that can provide employees, including knowledge workers and managers, with access to information and automation without the need to switch contexts.?

These assistants can handle tasks such as sending emails, transferring employees, and accessing knowledge bases, thereby reducing the need for employees to use multiple applications and switch between them frequently.?

The goal is to improve productivity by integrating AI into workflows and platforms, allowing for a more seamless and efficient work experience.?

They shared an example of how a large US healthcare payer achieved 90% accuracy through speech customization training and received 83% positive feedback from agents on summarized responses - which is HUGE!?

A quick reminder here that we can’t have success with GenAI assistants until we get a good handle of data management.

Feeling inspired from my time at the Summit, I recently watched a free episode from IBM’s AI Academy - ‘Is data management the secret to generative AI?’ In this episode, I was able to learn why high-quality data is essential for the successful use of GenAI.

My favorite quote from Luv Aggarwal, Worldwide Sales Leader, at IBM watsonx, was that “data is the only sustainable source of competitive advantage in business.” I completely agree with Luv and believe that data must be treated like a precious asset by the business.?

I highly recommend you check out the episode (11:41 min) and learn more about how data management can enable generative AI capabilities along with a wide range of curriculum tailored to equip business leaders with the necessary understanding to prioritize AI investments crucial for driving growth.?

I hope this article has given you a better understanding of the importance of data management in generative AI and shown you some ways in which generative AI assistants can boost business productivity.

Let me know your thoughts in the comments and please SHARE this article if you found it helpful.?

Pio Marolla

Co-Founder @AVE Digital I Founder @ThinkLinkers

1 年

Thanks for sharing. Once we get past the "wow" magic factor of GenAI, and actually need to use it for real business outcomes, Data Management becomes the very foundation for successful adoption.

Ronald van der Merwe (He/Him)

Snr Project Manager | Chemical Engineer | PfMP? | PMP? | PMI-PBA? | Microsoft Certified Azure Data Scientist & Power BI Data Analyst | SAFe? 6 Agilist | Lean Six Sigma Black Belt | Ethical AI Advocate | Aspiring LLB

1 年

Kate Strachnyi, my view is multi-modal ???? A strategic Data Governance policy and system is needed to ensure quality data and the integrity of the data. Next, data users need to be educated firstly on the DataOps (be it MLOps or w/e) process, and then need to be developed into "Citizen Developers", trained in basic data analytics, ETL, and ML principles. This way end users are both aware of the Governance process and are able to make use of the quality data provided by the data team. A Responsible/Ethical Data usage policy must be developed in tandum with the Governance System, ensuring everyone is aware of the importance of Responsible Data Usage. If all of the above forms part of your Data Management approach, then hell yeah it's the secret to Gen AI. ??

George Firican

?? Award Winning Data Governance Leader | DataVenger | Founder of LightsOnData | Podcast Host: Lights On Data Show | LinkedIn Top Voice 2024

1 年

?? yes!

Naja McDonald

Influencer & Advocacy Program Lead at IBM | Social Media Strategist | Artist | Early Career Mentor | UT Alumni

1 年

Yes! Love this.

Débora Cerro Fernández ??

IT Business Analyst | De peque?a pedí el Halcón Milenario para ir a la caza de estrellas, y de tanto so?ar despierta acabé creando mis propios universos a través de las palabras.

1 年

Thanks for the article, I think it was really helpfull, at the end it's important to have a good data management in almost every field and more importantly of course in GenerativeAI as it's needed to ensure accuracy and reliability but yeah, being able to have a good data management system opens you all the doors

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