#67: 🔐Unlocking Excellence: A Roadmap to Scaling Decision Intelligence
#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.
People often assume that AI can replace BI.
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:
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.
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.
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 🌐🤝
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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I’m Ganes Kesari. I publish ‘Data-Driven Future’ to help understand how data shapes our world, explore key trends, and explain what they mean for you today. I speak and write to demystify data science for decision-makers and organizations.
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