#67: 🔐Unlocking Excellence: A Roadmap to Scaling Decision Intelligence

Hello,

This newsletter will take you about 4 minutes to read.

I. Spotlight: 🔐Unlocking Excellence: A Roadmap to Scaling Decision Intelligence

Recently, I was talking to the head of technology at a retail conglomerate. The executive was actively planning his foray into data science and asked me, “How can we make the transition from business intelligence (BI) to artificial intelligence (AI)?” The question made me uneasy.

This is a query I often get from leaders evaluating advanced analytics. But, what worries me are the two key misconceptions bundled in this apparently benign question.

1. People often assume that AI can replace BI. 
2. Many people assume capabilities in AI are a sign of higher maturity. 

Both these assumptions are seriously flawed.

Let’s bust these myths and find out why one needs to align BI and AI to deliver business value. We’ll examine the real drivers of decision maturity and understand what it takes to scale data-driven decisions in an organization.

Why Upgrading from BI to AI is a Misnomer 

Before talking data or analytics, let’s take a step back and ask what is the purpose of data analytics. 

As we discussed in a previous blog post, the goal is to deliver actionable insights that drive effective, impactful, and timely decisions. The discipline that enables this across an organization at scale is called Decision Intelligence (DI).

To make a business decision, users often need answers to many types of questions. Let’s take the example of a sales head at a retail firm. To meet the organization’s annual goal of 35% revenue growth, the sales lead needs to continuously answer the following kinds of questions:

Read More... (At Scale)

II. Industry Roundup:

1. Call for Contributors: OpenAI Red Teaming Network

05 minutes |  OpenAI | Internal Team

OpenAI is launching the "OpenAI Red Teaming Network,” a collaborative initiative seeking domain experts to enhance AI model safety. "Red teaming" has evolved from internal testing to harnessing external expertise, aiding in risk assessment for systems like DALL·E 2 and GPT-4. Members will assess AI deployment systems, requiring diverse expertise from fields like Biology to Cybersecurity. If you’re interested in shaping AI safety, take a look to see if this is the right fit for you.

-> Apply to Join

2. Post: Data Storytelling Is More Than Just Data Visualization

07 minutes | Effective Data Storytelling | Brent Dykes

Data storytelling extends beyond mere data visualization. While visuals can illuminate data, true storytelling demands a fusion of accurate data, compelling narrative, and clear visuals. Today's trend overemphasizes charts, sidelining the essential narrative. All three pillars—data, story, and visuals—must be in harmony for impactful communication. Without this balance, insights risk being lost or misinterpreted.

-> Read the Post

III. From my Desk: 

1. Update: Workshop at LinkedIn HQ with fellow Top Voices

01 min | LinkedIn

Here are glimpses of a dynamic brainstorming session with LinkedIn Top Voices and the product team in the vibrant NYC HQ amidst wild weather. With a sneak peek into the roadmap of collaborative articles, we shared with the product team, what was working for us and areas we’d like to see more action. Want to join in and co-create insightful articles? Check out my LinkedIn post to see how to get started 🌐🤝

-> Read the Post

2. Milestone Alert: Contributed to 100+ LinkedIn Collaborative Articles!

01 min | LinkedIn

Over the past few months, I’ve contributed to over 100 LinkedIn collaborative articles on topics such as 'Decision Making' & 'Artificial Intelligence'. With many experts chiming in, each of these articles helps readers tap into the community’s wisdom. My contributions have been recognized with Top Voice badges in these topics. Check out two of these articles.

-> Validating AI healthcare apps, Effective data visualization strategies

Thank you for subscribing and reading the newsletter. I appreciate your attention,

Ganes.

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