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Just finished AI Strategy Foundations for Data Scientists and Team Leaders! Check it out: https://lnkd.in/g9S_9Mhv #itbusinessstrategy #aistrategy #artificialintelligence #datascience

As someone involved in data and AI, I know firsthand that without a solid data management strategy and foundation, AI is just a dream. 🚀 Before deploying any AI model, focus on: - Fixing your data. - Identifying your data sources. - Building strong data foundations and processes. I've learned this and more from great mentors like Kamal Anwar Shah who always remind me of the importance of mastering the basics to truly innovate with AI. #DataManagement #AI #DataStrategy #Leadership #ContinuousLearning"

🚀 𝐀𝐈 𝐢𝐬 𝐑𝐞𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬: 𝐀𝐫𝐞 𝐘𝐨𝐮 𝐑𝐞𝐚𝐝𝐲? Artificial Intelligence isn't just changing the game—it's creating a whole new playbook for businesses. Our latest blog explores: • How AI is transforming organizational operations • The evolving roles of data scientists and business leaders • Key skills needed to thrive in an AI-driven world • Strategies for successful AI integration Don't just adapt—lead the change. Discover how to harness AI's potential and future-proof your organization. #ArtificialIntelligence #BusinessStrategy #DataScience #FutureOfWork #TechticsAI https://lnkd.in/gcneuyHY

🤔 BI Today, AI Tomorrow 🤖 Many businesses struggle to deliver Business Intelligence (BI) effectively, let alone tackle AI. The same principles that make BI successful are just as fundamental when it comes to AI. Yes, there are some brilliant SaaS-based AI tools out there—many of them incredibly powerful—but they all depend on one thing: good data. Feeding bad data into a Power BI report can be embarrassing and inconvenient, but it’s usually fixable without too much harm. However, if you start building AI on poor data foundations, things can go wrong very quickly. I’m not here to put you off pursuing AI, but I do think many businesses need to take a step back and get the basics right first—data management, governance, and compliance. Sort out your BI today, so we can do AI tomorrow. #DataManagement #BI #AI #DataGovernance #DigitalTransformation #BusinessIntelligence #Leadership #DataFirst #theAssuredWay

🚀 Generative AI isn’t just boosting productivity—it’s redefining the future of work! 🌐 At BCG, we’ve explored how GenAI can empower teams to excel in new domains, even without prior experience in areas like data science. The key? An engineering mindset that thrives in this new era of AI. This shift has profound implications for talent acquisition, learning, and workforce strategy. Ready to unlock the potential of GenAI in your organization? Dive into our latest insights here. 👉 Read More #GenAI #FutureOfWork #BCGInsights https://lnkd.in/dt2JSA9c

AI's success is all about having top-notch data. Business leaders are reimagining their data platforms due to generative AI's impact. With 60% of organizations investing in digital initiatives, now’s the time to prioritize data modeling! Why is Data Modeling so important? Solid foundations: Organized data provides the structure AI needs to perform at its best. Boost performance: Well-structured data drives smarter insights and faster results. Save costs: Reduces errors and accelerates project success. Scalable growth: Flexible data model prepares your infrastructure for future needs and innovations. Find out all about the key data model types, data modeling levels, the 7-step data modeling process, and why #datamodeling matters in #AI development and training. Article link in the comments↓. #GenerativeAI #ArtificialIntelligence #BusinessIntelligence

Bridging the Data Gap: Unleashing Leadership Through AI-Literate Communication Strategies Read More: https://lnkd.in/eHjhiMvJ In the rapidly evolving landscape of data science, analytics, and artificial intelligence (AI), organizations are inundated with the potenti...

🚀Difficulty Integrating AI in Your Business Strategy? For many business leaders, the challenge isn't just understanding the importance of AI, but effectively integrating it into their operations. The journey from acknowledging AI's potential to successfully implementing it can often be unclear and daunting. 🌀The Hurdle of Unprepared Data: Jumping straight into AI without a solid foundation often leads to chaotic, underutilized data. This lack of organization and structure in data management hampers the effectiveness of AI, leading to inefficiency and missed opportunities. ✨Data Engineering serves as the crucial groundwork for AI integration. It involves organizing, cleaning, and structuring data, making it ready and optimized for AI use. This preparation is essential for turning your AI goals into real, impactful outcomes. 🚀 By prioritizing Data Engineering, you can ensure that your business is poised to fully leverage AI. Ready to bridge the gap between AI potential and reality? #DataEngineering #AIIntegration #BusinessStrategy

SCIENCE AND TECH ROARS | A new research briefing released by the MIT Center for Information Systems Research (CISR) establishes three principles supported by data monetization research to guide business leaders when making artificial intelligence (AI) investments. Read the full story: https://lnkd.in/d2KAfxF6 #WinWorldNewsroom #WinWorld #InspiringTheFuture #ForefrontAtWork #business #leaders #future #challenges #AI

Data, Analytics, and Your AI Strategy AI and analytics can offer untold opportunities to enterprises. Capitalizing on them calls for leaders who understand the nuances of their data. "It is widely acknowledged that data is the fuel for AI—but many executives continue to question exactly how to start using data to succeed with it. - Does all enterprise data need to be cleaned up and accessible? - Do all AI applications or use cases require the same type of data? And - what are the implications for leaders of the data function and team? @Tom Davenport participated in this episode of Deloitte’s LinkedIn Live series “Winning With Data” to address many of these questions." To read more: Click on the link in the comment section. #dataquality #dataquantity #bigdata #analytics #ai