Data + AI NZ

𝗧𝗵𝗶𝘀 𝗶𝘀 𝗵𝗮𝗻𝗱𝘀-𝗱𝗼𝘄𝗻 𝘁𝗵𝗲 𝗕𝗘𝗦𝗧 𝗮𝗻𝗱 𝗦𝗜𝗠𝗣𝗟𝗘𝗦𝗧 𝗲𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝘆𝗼𝘂'𝗹𝗹 𝗲𝘃𝗲𝗿 𝘀𝗲𝗲! ⬇️ In today’s AI-driven world, robust data pipelines aren't just a necessity — they're the FUEL that powers everything. ⛽ Without them, AI is just a fancy idea with no real impact. Data pipelines are the backbone of modern data-driven businesses. And they automate the process of collecting, organizing, and transforming data. ...𝗕𝘂𝘁 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮𝗻 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗶𝘀 𝗾𝘂𝗶𝘁𝗲 𝗵𝗮𝗿𝗱! Here are the key stages to consider: 1️⃣ 𝗗𝗮𝘁𝗮 𝗦𝗼𝘂𝗿𝗰𝗲𝘀: Collect raw data from various sources. 2️⃣ 𝗗𝗮𝘁𝗮 𝗟𝗼𝗮𝗱𝗲𝗿𝘀: Ingesting the right and trusted data. 3️⃣ 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲: Store the raw data in a highly accessible format. 4️⃣ 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻/𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻: Process and transform the data. 5️⃣ 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲: Store the processed data for specific purposes. 6️⃣ 𝗗𝗮𝘁𝗮 𝗦𝗵𝗮𝗿𝗶𝗻𝗴: Make the data available for analysis and decision-making. 𝗡𝗮𝗶𝗹𝗶𝗻𝗴 𝘁𝗵𝗲𝘀𝗲 𝘀𝘁𝗮𝗴𝗲𝘀 𝗶𝘀 𝘁𝗵𝗲 𝗳𝗼𝗿𝗺𝘂𝗹𝗮 𝗳𝗼𝗿 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗮 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝘁𝗵𝗮𝘁 𝗴𝗼𝗲𝘀 𝗯𝗲𝘆𝗼𝗻𝗱 𝗯𝗮𝘀𝗶𝗰 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗳𝘂𝗹𝗹𝘆 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗴𝗼𝗮𝗹𝘀𝗅 #data #ai #datastrategy

🚀 Explore ABAP CDS: Your one-stop framework for powerful data modelling! 🚀 Unleash the full potential of data modelling with ABAP Core Data Services (CDS). Whether you're building simple or complex applications, ABAP CDS provides a single, robust framework designed to streamline your modelling needs.   The latest developments in ABAP CDS introduce a variety of new object types, including table entities, scalar functions, simple types, external entities, CDS aspects and enumerated types. These additions allow you to efficiently build a complete stack using a single tool, optimizing both performance and scalability while easily addressing complex business challenges.   No matter if you're just starting your journey with ABAP CDS or want to update your knowledge with the latest enhancements, our insightful video content is perfectly suited to your needs:   ➡️ Understand CDS Simple Types in just 2 minutes with this video: https://lnkd.in/eQGPVGuC ➡️ Dive into CDS Scalar Functions in another 2-minute video: https://lnkd.in/esRT5XWJ ➡️ To see these features in action, check out our detailed 36-minute Pair Programming Session: https://lnkd.in/eAM2KiBk   Here’s the link to the ABAP Holiday Calendar 2024 for you to bookmark: https://lnkd.in/e8W3NHJ3

Back to my roots :) A fast growing, cool data startup Coalesce.io asked me for my predictions for the data space in 2025. Here are my top 4: 1.) AI DECISIONING - We’ll see data, marketing, and digital product teams adopting AI Decisioning platforms on top of their data warehouses to drive 1:1 personalization with their customers across all channels. Instead of building manual rules, audiences, and journeys, AI will look at each customer and decide the best actions to drive your company’s goals, and continuously learn and get smarter. 2.) DATA ACTIVATION - Data warehouses are going to continue to grow as the center of data gravity and more business teams will want to get data out of these warehouses into the tools they use every day. 3.) WAREHOUSE 3.0 - Open format tables like Iceberg will continue to grow in adoption by companies and the warehouses. Separately, batch and streaming workflows are going to continue to converge as data warehouses support low-latency use-cases. 4.) DATA PRODUCTS - We’re entering the era of data products, where companies don’t just build one off reports or analyses but really think about what artifacts (eg “marketing user data” or “customer service ticket insights”) they should be exposing to other data teams and the business for ongoing consumption. You should check out the full report here: https://lnkd.in/ew9C2Yxs I’d love your reactions— do these trends seem right for the next year? What else am I missing?

Check out the next episode of my podcast "Demystifying AI" . I uploaded the video of the presentation I gave at the Mindstone AI meetup in Toronto last week. The talk is entitled "AI for Intelligent Process Automation". I share my philosophy on AI and my 30 years experience automating business process beyond human ability. https://lnkd.in/gCFkpuj4 I hope you take the time to watch some of it and please share your comments and questions. I would love to interact and discuss this highly relevant topic. Thank you to Mindstone for sharing! #IntelligentAutomation #AI #AIforHumanity #PracticalAI #ItsJustMathematics

If business strategy, data strategy and AI strategy were LEGO sets, they should be able to be easily integrated, merged and mix & matched. My wish for 2025 is that these three strategies converge into one effort. Let’s face it: 👉 AI needs to be value driven and attached to business objectives 👉 business strategy needs to include data and AI capabilities 👉 good data & analytics is needed for both “traditional” business use cases as well as AI ones 👉 the three are converging in other areas already (e.g. corporate/data/ai governance, portfolio management, financial management) A strategy doesn’t need to be a 900 page PDF with 50 reference documents in the appendix either - it should be lean, just “detailed enough”and directional with enough flexibility for ongoing changes. Let’s focus on one business strategy enabled by data and AI. Let me know if you need any help. #datastrategy #aistrategy #tiankaistuff

🚀 Weekly Updates on Copilot Studio! 🚀 We’re thrilled to share the latest enhancements and features we’ve rolled out this week: 💡 New Knowledge Suggestions (preview): the knowledge manager now offers suggestion to add knowledge based on the most common sources from across all your agents. You also have direct access to the analytics to see how this affects the agent's answer rate. Coming soon you will have the ability to improve your answer rate by fine tuning your Dataverse queries. 🖼️ Image Upload in Chat Canvas (preview): In generative mode, you can now upload images directly into the chat canvas for the AI to reason over, making interactions even more dynamic and insightful. 🪄 New Plan Complete Trigger: Control what happens once the generative mode completes its response. For example, you can now redirect users to an end-of-conversation survey, ensuring a smooth and engaging user experience. All those features are being rolled out as part of the 11.2 version. Stay tuned for more updates and thank you for being a part of our journey! 🌟 #AI #TechUpdates #CopilotStudio #Agents #GenerativeAI #PSG

Is AI Adoption Slower Than Expected? Gallup's recent research sheds light on the current state of AI adoption in the workplace. Only a third of American employees report that their organization is actively taking steps toward implementing AI. Meanwhile, nearly seven in ten employees say they never use AI, and just one in ten report using it at least weekly. These figures have remained essentially unchanged from 2023 to 2024, indicating that individual adoption of AI may not be progressing as quickly as anticipated. In production and frontline industries, 81% of employees say they never use AI. This contrasts with white-collar roles, where 54% report no AI usage and 15% use it weekly. Overall, about 15% of white-collar workers are incorporating AI into their work on a regular basis. This leaves a remaining 31% of white collar workers who are somewhere in between, using AI occasionally. Interestingly, half of the employees who use AI report improvements in productivity. Among these users, 45% say that AI has boosted their productivity and efficiency. Leaders echo these sentiments, with 45% of CHROs noting enhanced operational efficiency within their organizations due to AI. A Disproportionate Adoption in Top Companies While these numbers reflect general U.S. averages, AI adoption appears to be notably higher among top companies. According to Gallup, a striking 93% of Fortune 500 CHROs report that their organizations are using AI tools and technologies to enhance business practices. Additionally, The Economist highlights that 90% of GitHub's paid members—an AI-driven code-sharing platform—come from Fortune 100 companies. These statistics underscore a significant disparity, with AI adoption markedly higher among leading organizations. Reflections Upon reading these findings, one might conclude that AI adoption is overhyped and bound to fade. However, I urge caution against such assumptions. I believe that organizations late to adopt AI will face increased competition and challenges in productivity and performance. AI adoption is mission-critical across all industries. But there’s a caveat: this transformation must be rooted in a human-centered perspective on technology and workplace culture. Without this approach, AI adoption risks becoming a dehumanizing process. It's crucial to maintain open dialogues on the moral and ethical implications of AI, while equipping leaders to navigate this new chapter. Reskilling and upskilling will be vital as organizations simultaneously undergo cultural and technological transformations. For more on how I help leaders connect these dots, visit Maslow Research Center website, linked in the comments. #LeadingWithCulture #CultureActualization #AI Houter, K. D., (2024). AI in the Workplace: Answering 3 Big Questions. Gallup.

This is insane! Google just launched an AI that takes over your Chrome and does things for you autonomously 😳 The Gemini-powered AI agent scores an insane 90.5% with tree-search on the WebVoyager benchmark which has tasks like: - "Book a flight from SF to Berlin, departing on March 5 and returning on the 12" - “Create a shopping cart from a grocery store based on this list” - "Find contact details for this list of companies" And this is just the beginning. This opens up AI to any of the laborious knowledge tasks that we do today. Most importantly, it lets us automate work that we never had even contemplated before 🤖 The AI Agents are no longer science fiction. The AI Agents are already here. Paradigm shift. P.S. for more great stuff, check out 🔔linas.substack.com🔔, it's the only newsletter you need for all things when Finance meets Technology. For founders, builders, and leaders.