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- 8 bits for a Byte - Your AI Weekend Curated Reads: 8-02-24
8 bits for a Byte - Your AI Weekend Curated Reads: 8-02-24
Navigating the AI revolution, one bit at a time.
8 bits for a Byte: Navigating the AI revolution, one bit at a time. Your weekly AI digest: From Mark Zuckerberg's Emilky Chang interview to Apple's AI safety commitment. Dive into strategic AI adoption with insights from DoorDash's data centralization and John Cutler's 'Think BIG start SMALL' approach. Explore AI's impact on business models, learn from real-world applications at Uber, and join our free workshop on creating an AI roadmap.
We are Super Excited to have Domino CMO Thomas Been as one of our speakers discussing how AI is transforming our lives and overcoming common challenges around people, process and technology -- using examples from life sciences, financial services, and the public sector.
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Let’s Get To It!
Welcome, To 8 bits for a Byte!
Here's what caught my eye in the world of AI this week:
How will AI affect your business? Approaching AI adoption across the enterprise strategically
Very excited to be interviewed by Leon Coe on Strategic AI in the Enterprise. Below are highlights of our discussion.
Executive Summary:
This meeting focused on the strategic implementation of AI in businesses, discussing its transformative impact, challenges, and best practices. We explored AI maturity stages, real-world applications, and the importance of fostering an AI-first culture. We emphasised the need for collaborative efforts, continuous learning, and alignment with organizational goals for successful AI integration. The discussion also covered the potential of AI to revolutionize business models, automate processes, and enhance creativity and insight. Key challenges in AI implementation were identified, along with strategies to overcome them.
Key Bullet Points:
1. AI Implementation Strategy: Organizations need to develop a collaborative culture, establish governance, and follow a maturity model from awareness to transformation for successful AI integration.
2. Real-world AI Applications: Examples from Uber and financial institutions demonstrate AI's potential in predictive modeling, fraud detection, and real-time decision-making, leading to significant cost savings and competitive advantages.
3. Future of Work: AI will necessitate continuous learning and evolution for knowledge workers, acting as an amplifier of creativity and insight rather than an autopilot replacement.
4. AI Project Success Factors: Understanding the problem, sufficient data, strategic planning, realistic time and cost estimates, and vendor alignment are crucial for successful AI implementation.
5. Building an AI-first Culture: Educating the organization about AI, identifying low-hanging fruit for implementation, and experimenting with AI in existing workflows are essential steps in fostering an AI-driven organizational culture.
Change even if it is good for you - is challenging work. I love writing on the importance and difficulty of building muscles to lay the foundation for organizational strategic AI / organization transformation. In my free - one-hour workshop - you will learn the essential knowledge you need to create a successful AI roadmap for your business. You will learn about the different stages of the AI maturity model, the AI success life cycle, and the AI business roadmap. However, don’t keep it quiet, help me spread the word.
Spot on guidance from Jessica Lachs in under a minute! Sometimes we just need to hear what seems painfully obvious again, and again, and again. Thank you Jessica for sharing your Wisdom!
The businesses that win in our inevitable AI-enabled future won’t necessarily be the ones with the best ideas; instead, the winners will be those that have figured out how to effectively balance cost and performance.
This is not a quick fix or a one and done. It takes time and practice to build these competitive AI muscles.
Author - The Observer by New Relic
Great deep interview, Bloomberg’s Emily Chang sits down with Zuckerberg to discuss how the company’s newest AI model Llama 3.1 will shape the future of business, technology and society.
What are you thinking of Zuck’s transformation? Personally his haircut to me is a game changer, makes him look much more relaxed and surfer dude than his prior Ceasar bowl cut.
Zuck's TransformationWhat do you think of Zucks New Look? |
Friday Funnies 🤣 .
I am all in on Zuck this week and can’t stop!
Send me your best AI meme and I will post the Top 5 and put it to a vote by our readership! I am sure anyone can do better! Winner gets a bottle Moet Champagne! Have to get at least five memes for there to be a competition.
John Cutler
I have been a John Cutler fanboy for a LONG time. He is my favorite Product / Big Thinker author. I was even fortunate to be interviewed by him for a project he was working on. So cool to meet our heros. AI is a long game - Think Big and Start Small.
Transforming an organization - hard, Implementing AI in the organization - Harder. Doing both IMPOSSIBLE. Until now! AI Quick Bytes will help you navigate through it all. The key is adaptability.
Step 1 - Take Action In Your Career!
Dream of being a Strategic AI Leader? Will outline the roadmap for your success. You will learn about the different stages of the AI maturity model, the AI success life cycle, and the AI business roadmap. Join us for our upcoming FREE virtual workshop, “Exclusive AI Leadership Insights - Creating a Roadmap For AI Success,” on August 13th from 11 AM to 12 PM PST. What’s stopping you?
Very excited to soft launch our referral program, lets see how many people see this all the way down here -:)
Under the commitment, AI companies promise to red-team (acting as an adversarial hacker to stress test an organization’s safety measures) AI models before a public release and share that information with the public. The White House’s voluntary commitment also asks AI companies to treat unreleased AI model weights confidentially. Apple and other companies agree to work on AI model weights in secure environments, limiting access to model weights to as few employees as possible. Lastly, the AI companies agree to develop content labeling systems, such as watermarking, to help users distinguish what is and isn’t AI.
Deeper Cut:
What'd you think of this week's edition?Tap below to let me know. |
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