How Your Data Differentiates You in the AI Era

⏱️ Your Morning Brief (TL;DR)

Welcome back leaders!

McKinsey's quarterly insight report reveals that how leaders see AI tools starting to become commoditized. They see proprietary data as their competitive moat.

The McKinsey report unpacks the essential strategies that separate AI followers from leaders in the race to 2030.

In this issue, we introduce “data ubiquity” and how leveraging your unique data assets is the true differentiator.

We also cover:

• 4 steps to prepare your company for 2030

• The 6 benefits of Data Ubiquity for your organization

• 5 Interesting reads, from practical steps to prepping your data and budget for conversational AI, and a case study from a legacy financial giant.

Let’s dive in.

 💡 This Week’s Deep Dive

Your Company in the Year 2030

According to McKinsey, by 2030, companies will achieve "data ubiquity" where data isn't just accessible to employees but seamlessly integrated throughout all enterprise systems, processes, and decision points—powering automated actions with strategic human oversight to drive competitive advantage.

Here’s how they describe getting there.

1. Make Data Easily Accessible, Trackable, and Trustworthy

• Making Data Easy to Access: This will require establishing clear data standards implementing user-friendly access tools (interfaces, catalogs, APIs), and defining explicit business rules (naming conventions, data types).

• Making Data Easy to Track: Trackable data requires model transparency and monitoring systems.

• Making Data Easy to Trust: Trustworthy data demands robust security, rigorous quality processes (continuous testing and validation), and meeting regulatory compliance. These safeguards build confidence in AI-driven insights and decisions.

2. Focus on Your Data Alpha

• Customize models with proprietary data: Train LLMs on your unique datasets

• Prioritize high-value data products: Identify the 5-15 data assets that will generate the majority of value

3. Build Your Unstructured Data Strategy

According to McKinsey, 90 percent of data is unstructured, including formats such as videos, pictures, chats, emails, and product reviews. However, advances in AI are making it possible to process, analyze, and derive value from unstructured data in ways that were previously difficult or impossible

• Invest in natural language processing capabilities to convert unstructured data for LLM consumption

• Map which unstructured data sources directly align with critical business outcomes

4. Develop New Leadership Capabilities

Effective data leadership in 2030 will requires expertise in three areas:

• Governance & compliance: Regulatory navigation and risk management

• Engineering & architecture: Technical design for automation and scale

• Business value creation: Revenue generation and operational efficiency

GPTLDR Takeaways

The AI transformation is fundamentally a data transformation.

Start now by identifying your high-value data products, investing in unstructured data capabilities, and cultivating leadership that balances governance, engineering excellence, and business value creation.

🔑 6 Benefits of Data Ubiquity

What does this all unlock?

1. Automated decision-making through self-optimizing systems triggered by real-time data,

2. Hyper-personalization enabling tailored customer experiences tested via digital twins

3. Personalized medicine development through LLM analysis of individual health data,

4. Operational efficiency gains via algorithmic supplier management and process automation,

5. Enhanced decision quality at all levels through embedded, trusted data infrastructure, and

6. Unlocked value from the 90% of enterprise data that's currently unstructured.

📚 Interesting Reads

• 3 Steps to Get Your Data AI Ready (Link)

• What It Costs to Build Conversational AI? (Link)

• ChatGPT Glossary: 49 AI Terms Everyone Should Know (Link)

• Why You Need Collaborative AI Governance to Accelerate Adoption (Link)

• HBR - How a Legacy Financial Institution Went All In on Gen AI (Link)

 🤔 AI Thoughts

GPTLDR Takeaway: AI-generated ads will slash content creation costs, but agencies still deliver crucial value through strategic expertise and creative vision. As production becomes more accessible through AI, agencies will need to shift how they deliver impact over production output.

☁️ Prompt Tip

Next time you get a mediocre response from ChatGPT and expected better, try this.

This trick transforms GPT into your prompt coach, analyzing issues and suggesting clearer phrasing to save time and get better results.

 ➜ Until Next Week

That’s a wrap. Remember that your organization's most valuable asset isn't the latest AI model—it's your unique data. Let your competitors chase features, focus on making your data accessible, trackable, and trustworthy. 

Build your data infrastructure today, and by 2030, you'll be defining what's possible in your industry.

Stay curious,
GPTLDR

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