AI, What Is It Good For?
Are we using this incredible technology for the right things?
You might have seen the latest meme going around LinkedIn where you use ChatGPT to create an action figure likeness of yourself. I have now seen this up to about 20 times just this week from different connections and whilst it is a fun little exercise, it does make you question, is this really, what we're using AI for?
I was encouraged, however, to see that I'm not the only one thinking this, as just this morning, I saw the below post from Matt Desmier, who poses the point: "The focus is on the wrong thing."
I don't want to take anyone's fun away, but when we have the Shopify CEO Tobi Lütke, mandating that all staff must use AI at every possible point, we have to question what value are we getting from this wonderful technology. As I have written about previously, having an AI Strategy is a must for any organisation seeking to take advantage of AI in the workplace. Just forcing people to use a GPT for some basic task is not going to fundamentally move your business forward or provide the competitive edge that you seek. To use AI effectively, you must treat it like a tool that can solve specific challenges, usually where automation, pattern recognition, forecasting, etc, are the solutions. We don't pick up a hammer and then ask, "what can I hit?"
Tobi Lüke, CEO, Shopify
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Curated News
Microsoft Enhances Copilot with Agentic Features
Celebrating its 50th anniversary, Microsoft introduced significant updates to its AI assistant, Copilot. The enhancements include proactive and personalized features, such as remembering user-specific details to offer tailored support. This positions Copilot to compete with AI leaders like OpenAI and Alphabet by integrating more agentic functionalities.
NVIDIA Launches Open Reasoning AI Models for Agentic Platforms
NVIDIA has introduced a family of open reasoning AI models aimed at developers and enterprises building agentic AI platforms. These models are designed to deliver advanced reasoning capabilities, with tools and datasets made openly available for customization. Industry leaders are collaborating with NVIDIA to enhance enterprise-level reasoning through these models.
Tealium Integrates MCP to Support Agentic AI Initiatives
Tealium announced integration capabilities via the Model Context Protocol (MCP) to its Moments API, enabling real-time, consented data access for AI and autonomous agents. This integration allows users to send data directly to AI models and autonomous agents, facilitating more efficient and personalized AI-driven interactions.
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Thanks for reading, and see you next Friday.
Simon,
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