Unleash the power of generative AI. 📈 Gen AI has the potential to transform workflows across businesses and earn the equivalent of between $2.6 trillion and $4.4 trillion annually. Although implementing gen AI comes with its own set of challenges, the rewards of building analytics for meaningful insights are potentially unmatched. Learn more about different use cases here 👉 https://mck.co/4dXVEnh #GenerativeAI #Analytics #Data
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This is a great episode packed with content and well worth 30 minutes of your time if you're in a role that is touched by #data, #analytics or #AI - so that's everyone...! Key points for me were: 👉 We're going from the Big Data movement to the Better Data movement 👉 How to create rich, robust, AI ready data products 👉 The scope for unstructured data screening is huge; versus structured data its 2x for unstructured text and 9x for images and video 👉 How AI is improving data literacy and helping data citizens engage better with data and lowering barriers to entry 👉 Those who are having most success start at the outcomes they are looking to drive for lines of business through data and AI and work backwards (a recurring theme that is relevant to all areas that data is used in business imo) 👉 The data foundation is key to ensure quality and reliable outcomes from data used in AI - are you collecting the right data? Is it robust enough to train an AI system? Is it in the right format for AI to find patterns and drive insight? 👉 Coupled with this - How are your end users going to consume the data these models create? How do we make it easy to consume, gain insights and drive decisions? 👉 AI informs your data strategy, as well as being part of it... 👉 Retrieval Augmented Generation is going to provide huge benefit to internal use cases - and Qlik is bringing a solution to market this year 👉 AI agents are going to create networks of intelligence to accelerate chain of thought processes and deliver insights faster and more effectively Much more more was discussed by Ronald van Loon, James Fisher and Nick Magnuson, and check out the rest of the Visionary Voices in AI series if you'd like to hear more thought leadership on the latest in the AI, data and analytics space. #AI #GenAI #data #analytics #dataproduct #datafoundation #dataliteracy #structureddata #unstructureddata #RAG #LLMs
Ready to turn #AI innovations into real business solutions? Catch us tomorrow for the second installation of our Visionary Voices in AI series! Our host Ronald van Loon will join Qlik’s Chief Strategy Officer James Fisher and Head of AI Nick Magnuson dissect major AI and data trends and share how to apply them to your business strategy. Don’t miss out – register now: https://bit.ly/3TxscMP
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🚀 Ready to dive into the future of Enterprise AI? Our latest article unveils explosive growth trends and opportunities from 2023 to 2033! Don't miss out on how the post-COVID impact reshapes the market. 📈 👉 Learn more: [Enterprise AI Market Growth Forecast 2023-2033](https://lnkd.in/dFeFrcZG) #EnterpriseAI #AIForecast #TechTrends
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🚀 Charting 2025 Strategy: It’s not just tech companies integrating AI anymore! 📊 In 2024, operational businesses across industries are using AI to fuel growth, as highlighted in the Stanford Institute for Human-Centered Artificial Intelligence (HAI) AI Index. Unsure if you should build or buy for your AI priorities? Join us on Sept. 25th to explore how to leverage AI for your SMB’s success! 🔍 🌐 Register now and take the first step toward future-proofing your strategy: https://lnkd.in/gbDiBSzX #AIForBusiness #OperationalAI #SMBSuccess #2025Strategy #AIGrowth
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What if you could integrate real-time data seamlessly into your Gen-AI projects? #GenAI and a powerful #datafabric can turn this into reality, providing your business with unparalleled insights and capabilities. Are you curious about how to break down data silos and enhance #AI-driven decisions with real-time information? Gain insights from industry experts and explore innovative techniques in our new #DataManagement blog by @Kevin Bohan, Director of Product Marketing at @Denodo! #GenerativeAI #RealTimeData #AI #Innovation https://buff.ly/3Ze5T1Z
Harnessing the Power of Generative AI for Your Enterprise
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What if you could integrate real-time data seamlessly into your Gen-AI projects? #GenAI and a powerful #datafabric can turn this into reality, providing your business with unparalleled insights and capabilities. Are you curious about how to break down data silos and enhance #AI-driven decisions with real-time information? Gain insights from industry experts and explore innovative techniques in our new #DataManagement blog by @Kevin Bohan, Director of Product Marketing at @Denodo! #GenerativeAI #RealTimeData #AI #Innovation https://buff.ly/3Ze5T1Z
Harnessing the Power of Generative AI for Your Enterprise
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Generative AI is a transformative breakthrough, but organizations must focus on building a strong data foundation. This report examines the connection between AI and data to guide organizations in managing complex data and leveraging AI’s capabilities. #GenerativeAI #DataFoundation #DataAnalytics #AIIntegration #AIInnovation https://lnkd.in/gSuVh2wz
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#Blog: AI and Big Data are transforming market research, offering speed, accuracy, and deep insights. Traditional methods can't compete! In our latest blog, discover: 👉 How AI + Big Data work together 👉 Real-world business impacts 👉 Predicting future trends with precision Unlock the future of market research. Read now and get ahead: https://lnkd.in/gVThn6RF #marketintelligence #markettrends #marketresearch #bigdata #datainsights
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Gartner's Hype Cycle for Artificial Intelligence, 2024 is out! The two biggest movers on this year’s Hype Cycle, AI engineering and knowledge graphs, highlight the need for means of handling AI models at scale in a robust manner. AI engineering is a fundamental requirement for delivery, at scale, of enterprise AI solutions that demand new team topologies. Knowledge graphs provide dependable logic and explainable reasoning, in contrast to the fallible, yet powerful, predictive capabilities of the deep-learning techniques used by GenAI. More about this in the comments. Gartner subscription is required! #BuildwithGartner #ArtificialIntelligence
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AI, and GenAI in particular, have been the hot topic for a couple of years now, but what is getting traction in turns of delivering real value and what is turning out to be less important? Take a look at Gartner's latest Hype Cycle on AI to find out. Research led by Haritha Khandabattu and Afraz Jaffri
Gartner's Hype Cycle for Artificial Intelligence, 2024 is out! The two biggest movers on this year’s Hype Cycle, AI engineering and knowledge graphs, highlight the need for means of handling AI models at scale in a robust manner. AI engineering is a fundamental requirement for delivery, at scale, of enterprise AI solutions that demand new team topologies. Knowledge graphs provide dependable logic and explainable reasoning, in contrast to the fallible, yet powerful, predictive capabilities of the deep-learning techniques used by GenAI. More about this in the comments. Gartner subscription is required! #BuildwithGartner #ArtificialIntelligence
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