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Do you know what AI really means? Join Timothy Park as he breaks it down for you. Don't miss this opportunity to enhance your skills and make a significant impact in the industry. Sign up for his FREE live online session this Thursday, June 6th, 3-4pm PST via ZOOM! #DataScience #AI #Analytics #BusinessInsights #UCLAExtension https://lnkd.in/gQjBuQNx

#datascience and #AI is all the rage. But how do you tell the story behind the data so the C-Suite can better understand the information for decision-making? Sign up for this free live online session and learn. Speaker Timothy Park is a master at making complex data easy to understand.

In Issue 5 of The Data Scientist Magazine we introduced Patrick McQuillan, who has a successful track record of leading data-driven business transformation and strategy on a global scale. Patrick has held data executive roles in both Fortune 500 companies and various strategy consulting firms. In Issue 5 of the magazine, Patrick discusses his concept of a 'biological model' in the context of data strategy and organisations. The biological model is the consolidation of all data, decision-making power, and resources into a single epicentre that's connected throughout an entire organisation. It becomes a self-feeding system that can quickly react to, or predict, any anticipated challenges or bottlenecks based on what it's historically encountered. Crucially, the model continues to learn and provide an adjacency between access to data and the immediate access of that data by key decision-makers in the organisation, rather than disseminating it to individual managers on different teams. Decentralised analytics hubs or centres of excellence that might exist across different verticals don't communicate with each other. To read the full article, you can subscribe for free at: https://lnkd.in/e_tXp4rN #DataScienceTalent #TheDataScientistMagazine #AI

In Issue 5 of The Data Scientist Magazine, we introduced Patrick McQuillan, who has a successful track record of leading data-driven business transformation and strategy on a global scale. Patrick has held data executive roles in both Fortune 500 companies and various strategy consulting firms. In Issue 5 of the magazine, Patrick discusses his concept of a 'biological model' in the context of data strategy and organisations. The biological model is the consolidation of all data, decision-making power, and resources into a single epicentre that's connected throughout an entire organisation. It becomes a self-feeding system that can quickly react to, or predict, any anticipated challenges or bottlenecks based on what it's historically encountered. Crucially, the model continues to learn and provide an adjacency between access to data and the immediate access of that data by key decision-makers in the organisation, rather than disseminating it to individual managers on different teams. Decentralised analytics hubs or centres of excellence that might exist across different verticals don't communicate with each other. To read the full article, you can subscribe for free at: https://lnkd.in/e3T_-CFJ #DataScienceTalent #TheDataScientistMagazine #AI

⏭️ Many ppl have asked me lately how to future-proof themselves as a leader by diving into the data realm! 🚀 The pace of change demands that upskilling in leading data and AI isn't just an option, it's a necessity for remarkable leadership. 📈 This MBS course is a perfect 3 day option, “Leading Data Analytics", to propel yourself towards an inspiring tomorrow. 🌟🔮 #DataDrivenFuture #LeadershipExcellence

The Data Scientist Magazine introduces Patrick McQuillan, who has a successful track record of leading data-driven business transformation and strategy on a global scale. Patrick has held data executive roles in both Fortune 500 companies and various strategy consulting firms. In Issue 5 of the magazine, Patrick discusses his concept of a 'biological model' in the context of data strategy and organisations. The biological model is the consolidation of all data, decision-making power, and resources into a single epicentre that's connected throughout an entire organisation. It becomes a self-feeding system that can quickly react to, or predict, any anticipated challenges or bottlenecks based on what it's historically encountered. Crucially, the model continues to learn and provide an adjacency between access to data and the immediate access of that data by key decision-makers in the organisation, rather than disseminating it to individual managers on different teams. Decentralised analytics hubs or centres of excellence that might exist across different verticals don't communicate with each other. To read the full article, you can subscribe for free at: https://lnkd.in/d2sG7RWb #DataScienceTalent #TheDataScientistMagazine #AI

📊 Just returned from an insightful experience at the Gartner Data & Analytics Conference in London! 🌟 https://lnkd.in/e_gKhhE9 The conversations on the practicalities of Large Language Models (LLMs) and generative AI were particularly fascinating. Here are my top takeaways: 1) Prompt Chunking with Markdown: Converting prompts to markdown can significantly enhance the management and processing of prompt data. I'm curious to experiment with this technique and see the results. 2) Persona-based Prompting: Using different personas to ask the same question is an excellent sanity check for consistency and reliability. This approach could be used for ensuring the robustness of AI-generated outputs. 3) Token cost: Watch out for the large differences in token costs between models or versions of models. It might not matter for your prototype, but at scale, you'll feel the difference. A big thank you to the speakers and organizers for such a valuable event. Having the noise distilled into pithy, easy to follow presentations is very welcome! #DataAnalytics #AI #LLMs #GenerativeAI #DataScience #GartnerConference #LondonTech #Innovation #AIResearch #TechCommunity Susanna Holden

The Data Scientist Magazine introduces Patrick McQuillan, who has a successful track record of leading data-driven business transformation and strategy on a global scale. Patrick has held data executive roles in both Fortune 500 companies and various strategy consulting firms. In Issue 5 of the magazine, Patrick discusses his concept of a 'biological model' in the context of data strategy and organisations. The biological model is the consolidation of all data, decision-making power, and resources into a single epicentre that's connected throughout an entire organisation. It becomes a self-feeding system that can quickly react to, or predict, any anticipated challenges or bottlenecks based on what it's historically encountered. Crucially, the model continues to learn and provide an adjacency between access to data and the immediate access of that data by key decision-makers in the organisation, rather than disseminating it to individual managers on different teams. Decentralised analytics hubs or centres of excellence that might exist across different verticals don't communicate with each other. To read the full article, you can subscribe for free at: https://lnkd.in/dw447ZXU #DataScienceTalent #TheDataScientistMagazine #AI

In Issue 5 of The Data Scientist Magazine, we introduced Patrick McQuillan, who has a successful track record of leading data-driven business transformation and strategy on a global scale. Patrick has held data executive roles in both Fortune 500 companies and various strategy consulting firms. In Issue 5 of the magazine, Patrick discusses his concept of a 'biological model' in the context of data strategy and organisations. The biological model is the consolidation of all data, decision-making power, and resources into a single epicentre that's connected throughout an entire organisation. It becomes a self-feeding system that can quickly react to, or predict, any anticipated challenges or bottlenecks based on what it's historically encountered. Crucially, the model continues to learn and provide an adjacency between access to data and the immediate access of that data by key decision-makers in the organisation, rather than disseminating it to individual managers on different teams. Decentralised analytics hubs or centres of excellence that might exist across different verticals don't communicate with each other. To read the full article, you can subscribe for free at: https://lnkd.in/eqmxF8x7 #DataScienceTalent #TheDataScientistMagazine #AI

The Data Scientist Magazine introduces Patrick McQuillan, who has a successful track record of leading data-driven business transformation and strategy on a global scale. Patrick has held data executive roles in both Fortune 500 companies and various strategy consulting firms. In Issue 5 of the magazine, Patrick discusses his concept of a 'biological model' in the context of data strategy and organisations. The biological model is the consolidation of all data, decision-making power, and resources into a single epicentre that's connected throughout an entire organisation. It becomes a self-feeding system that can quickly react to, or predict, any anticipated challenges or bottlenecks based on what it's historically encountered. Crucially, the model continues to learn and provide an adjacency between access to data and the immediate access of that data by key decision-makers in the organisation, rather than disseminating it to individual managers on different teams. Decentralised analytics hubs or centres of excellence that might exist across different verticals don't communicate with each other. To read the full article, you can subscribe for free at: https://lnkd.in/eJH3JDFZ #DataScienceTalent #TheDataScientistMagazine #AI