Matthew Vranicar

Last call for speakers for MinneAnalytics #DataTech 2024. https://lnkd.in/gSQCTnqg Yes, we want to hear about bleeding edge, but also talks with takeaways that participants can take back to their desks the following week. As one participant put it: "Tangible takeaways I had anticipated. My expectations had been geared towards discovering innovative software solutions, uncovering unexplored methodologies applicable to my profession, and potentially identifying a novel AI tool to supplement my current resources" Tickets release May 6th, waitlist soon thereafter. See the 1384 participants from 2023 as well as all of the great 2023 talks at the link above. #Ai #DataScience #LLMs #GenerativeAi #Analytics #DataEngineering #DataArchitecture #MachineLearning

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Designed specifically for CDOs and CAOs, the CDAO Circle offers a curated executive experience, delivering presentations, discussions and networking opportunities throughout this year's summit. This is where you'll find me next week... Learn more about this unique executive experience at Gartner Data & Analytics Summit: https://gtnr.it/45COsJq #GartnerDA #Data #Analytics #CDAO

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The first 100 days for newly appointed chief data and analytics officers (CDAOs) and D&A leaders are vital in establishing yourself in a leadership role. This 6-part series of complimentary Gartner webinars is designed to help launch new-to-role CDAOs and D&A leaders. Gartner for IT | #GartnerDA #NewRole #Data #Analytics #Webinar

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High-quality data are relevant for AI like oxygen for humans.

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Are you struggling to effectively implement AI in your organization when it comes to data? Amplifi's Chief Innovation Officer, Michael Evans explores the transformative power of generative AI and large language models, shedding light on their practical applications and potential pitfalls. Mike covers topics including: ▶ Separating the hype from reality ▶ How to use Generative AI for your business ▶ The potential risks of AI in a business context ▶ The differences of AI in prototype and production He also outlines Amplifi's three step approach to AI implementation: 1️⃣ Accelerate We utilise AI to ensure efficient delivery of data solutions, like data model and business rule discovery. High-quality, governed data is crucial for AI success, and our approach accelerates your journey to AI readiness with swift, efficient results. 2️⃣ Augment We enhance existing data solutions (e.g. Master Data Management, Data Integration, Analytics) with AI, improving efficiency and effectiveness. Our goal is to boost productivity and maintain high-quality data foundations, unlocking future AI value. 3️⃣ Architect We design and implement tailored AI solutions for specific client needs, embedding scalable architectures ready for current and future AI initiatives. Each solution is crafted to drive ROI. 👉Check out the blog to find out more about successful AI implementation. https://lnkd.in/esjCw3q3 #AI #Innovation #DataStrategy #GenerativeAI #BusinessGrowth #AIImplementation #AmplifiInsights

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Generative AI: Transformative Capabilities in Enterprise Performance Management Generative AI tools, exemplified by ChatGPT and similar tools, heralds a new era of efficiency and insight in Enterprise Performance Management (EPM). Here's how: Automated Reporting: Traditional EPM relied heavily on manual data collection and analysis, leading to inefficiencies. Generative AI automates report generation and data extraction, streamlining processes and reducing manual effort. This automation accelerates reporting cycles, enabling organizations to make timely decisions based on up-to-date information [1]. Predictive Analytics: Generative AI empowers EPM with accurate forecasting capabilities. By analyzing historical data patterns, these tools enable organizations to predict future performance metrics with precision. This forecasting ability facilitates proactive decision-making, allowing businesses to anticipate trends and make informed strategic choices [1]. Natural Language Processing (NLP): Unstructured data, such as text documents and customer feedback, often hold valuable insights. Generative AI with NLP capabilities interprets this data, extracting meaningful information for deeper analysis. By understanding and processing human language, these tools provide organizations with a more comprehensive understanding of their performance, enabling them to uncover hidden patterns and make data-driven decisions [1]. In conclusion, the integration of Generative AI tools like ChatGPT into EPM processes represents a significant leap forward in organizational efficiency and decision-making. By automating reporting, enhancing predictive analytics, and leveraging NLP for deeper insights, these tools empower businesses to optimize performance, drive innovation, and stay competitive in today's dynamic business landscape.

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Kudos for Kurt Schlegel and the Gartner team sharing key trends and insights from 2024 Analytics and Business Intelligence Report (available at the Gartner site)! Here are the takeaways: 1. **Generative AI Takes Center Stage**   - Generative AI is now the #1 focus for ABI platforms, revolutionizing how we create reports and dashboards. Expect to see more conversational, chat-based design interfaces that make data insights more accessible and instantaneous. 2. **Emerging Technologies and Key Trends**   - The ABI market is driven by trends in pricing, consumer design, governance, cloud integration, and especially generative AI. Data storytelling and natural language processing are becoming essential for making data insights more understandable and actionable. 3. **Vendor Landscape**   - The 2024 Magic Quadrant highlights top vendors, namely leaders like Microsoft (by far!), Google, and Tableau. These vendors are evaluated based on their capabilities in data visualization, governance, data preparation, etc. 4. **Adoption and Challenges of AI**   - Organizations are at various stages of adopting generative AI. While some have fully integrated AI, others are still piloting due to concerns over data quality, prompt writing, and regulatory compliance. In my own vision, there are very few early adopters yet. 5. **Future Directions and Hype Cycle**   - The 2024 Hype Cycle emphasizes the maturity and adoption of AI and machine learning in ABI. While self-service analytics was empowering, the future lies in balancing AI-driven automation with user empowerment. 6. **Modernizing Analytics**   - Gartner recommends setting realistic BI platform standards, promoting interoperability, updating traditional dashboards with automated insights, and using consumer-friendly catalogs for production content. 7. **Data Storytelling and Explainable Insights**   - Data storytelling, enhanced by natural language and explainable insights, is trending. Visuals and narratives should work together to provide comprehensive and actionable data insights. 8. **Analytic Franchises and Self-Service**   - Treat self-service analytics as a team sport! Create "analytic franchises" within departments to manage data effectively and promote analytic content through a standardized process. 9. **Integration and Catalog Features**   - Modern analytics platforms should feature integrated catalogs that allow business users to view and edit metadata, create inventories of analytic content, ensure interoperability, and provide smart recommendations. The ABI landscape is evolving rapidly, and these trends and insights from Gartner's 2024 report highlight the transformative potential of generative AI and the importance of modernizing our analytics capabilities. #Analytics #BusinessIntelligence #AI #DataScience #GenerativeAI #DataStorytelling #Trends2024 #Gartner #BI #TechTrends #DataInsights Temperley BCI POSSUMUS EloGroup Axonier atlas+aura Microsoft

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The path to a successful AI strategy starts with your approach to data and analytics. Start small, build on existing strengths to experiment. Follow these 5 simple steps to get started. http://2.sas.com/604798jYx Denny White Benjamin Hamilton Matt Mullikin Anil Rao Kristina Gentile #AI #Data #Insights #SMB #Analytics

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Watch Distinguished VP Analyst Mary Mesaglio dissect what the 2024 Gartner CEO Survey revealed. Comfort with risk taking is inherent in the CEO role — and that absolutely extends to generative AI, according to the 2024 Gartner CEO Survey. Explore the executive’s guide to understanding, implementing and planning for the future of GenAI: https://gtnr.it/3VGipEZ #CEO #GenerativeAI #GenAI

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Excited to share insights from Syniti CEO Kevin Campbell on how generative AI is transforming data governance. In this Frontier Enterprise article, Kevin dives into the critical data attributes businesses should focus on for reliable generative AI outputs. #DataFirst

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We know that generative AI has little precedent when compared to past emerging technologies — both in hype and potential — and according to our new research, CEOs agree. In this episode of Top of Mind, Distinguished VP Analyst Mary Mesaglio discusses the latest Gartner CEO Survey, which highlights how CEOs are personally embracing GenAI, the challenges in applying it to their customer value propositions, and how they weigh the potential benefits and perceived risks. Explore the executive’s guide to understanding, implementing and planning for the future of GenAI: https://gtnr.it/4ecJAOW #CEO #GenAI #AI

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Incidentally, the framework I'm using here is derived from the What Works Cities practices for certification, but is intended to make it easier to think strategically and systematically about which practices should be introduced and how they interconnect at any given point.

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Acxiom was named in the Snowflake Marketplace Guide for Financial Services as a key data set for Identity! 👏 Download the guide today to explore how to leverage data and improve #CX, risk analytics, portfolio research and more. #SnowflakeMarketplaceFS

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Here is the CDAO 2030 discussion in case you missed it. This role continues to evolve, and this discussion provides some guidance on how to prepare yourself to be a CDA(I)O someday! #data #analytics #CDO #ai https://lnkd.in/eNvAXHpH

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If you're wondering what companies are prioritizing and concerned about in 2024 data management programs and data fabric aspirations, come join our discussion of the survey results and analysis and compare it with what you're seeing in your company! 😀

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Struggling to optimize your D&A cloud spend? Start with using a three-pronged approach. Gartner VP Analyst Adam Ronthal shares what steps CDAOs and D&A leaders should take when looking at cloud spending within their data and analytics practice. Check out even more insights from Gartner Data & Analytics Summit: https://gtnr.it/da24 #GartnerDA #Data #Analytics #Cloud

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