Join us tomorrow with Mistral AI to learn advanced techniques for reducing hallucinations in LLMs. Discover how leveraging out-of-domain data can enhance model accuracy while cutting down on data collection needs. Register now: https://lnkd.in/gJjNh7VN
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Our CEO Dr Krste Pangovski recently participated in the Made Smarter Innovation - Smart Manufacturing Data Hub webinar ''Supercharge manufacturing productivity by unlocking the power of AI''. Quite few interesting topics were discussed, with valuable input provided also by Dr Alina Ivanova and Kiran Krishnamurthy, covering: 🔹 Balancing expectations and hurdles in AI implementation 🔹 Integrating AI with legacy equipment 🔹 LLMs and AI in manufacturing 🔹 Challenges SMEs encounter when introducing new technologies Link to webinar here: https://lnkd.in/dvNrpBha #ManufacturingInnovation #SmartManufacturing #AI
Supercharge manufacturing productivity by unlocking the power of AI
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It’s no secret that gen AI can help manufacturers improve operational efficiency and productivity. However, low-quality data is a barrier to harnessing gen AI’s full potential, resulting in organizations leaving significant value on the table. Learn how to unleash the true power of AI in manufacturing by enhancing data quality and following 5 key steps. https://mck.co/49Jtbyb
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How will AI transform networking? The most significant impact will first be seen in monitoring, telemetry, and alerts, as organizations leverage AI to interpret massive amounts of network traffic and health pattern data. To prepare for AI in network operations, businesses should prioritize standardizing network configurations and consolidating network health and performance data to streamline baselining for AI training sets. Learn how your organization can get ready in this piece from Networkcomputing: https://bit.ly/3I34tgK #AI #AINetworking #NetOps #NetworkMonitoring
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A Stellar Servant and Transformational Leader with a Human-centric Approach: My leadership legacy, Milestones and Scientific Journey as CEO, Quintessential Intellectual, Risk MGMT Advocate, and Consummate Civil Servant.
The critical and measurable STEPS to leveraging cutting-edge technologies, harnessing artificial intelligence, and unlocking human potential to drive digital transformation, innovate bold solutions, foster growth, and streamline inefficient manual processes to help organizations save millions, billions, and even trillions of dollars. In 2024, the global demand for highly skilled, talented, and experienced High-Tech experts with digital acumen has never been greater. Research and discover how successful tech-savvy executives unlock AI, and unleash productivity.
It’s no secret that gen AI can help manufacturers improve operational efficiency and productivity. However, low-quality data is a barrier to harnessing gen AI’s full potential, resulting in organizations leaving significant value on the table. Learn how to unleash the true power of AI in manufacturing by enhancing data quality and following 5 key steps. https://mck.co/49Jtbyb
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Transforming Business Consultancy with AI: Explore How Artificial Intelligence Elevates Strategy, Decision-Making, and Operational Excellence. Discover the Power of Enhanced Data Quality in Unleashing AI's Full Potential. #AI #BusinessConsultancy #DataQuality
It’s no secret that gen AI can help manufacturers improve operational efficiency and productivity. However, low-quality data is a barrier to harnessing gen AI’s full potential, resulting in organizations leaving significant value on the table. Learn how to unleash the true power of AI in manufacturing by enhancing data quality and following 5 key steps. https://mck.co/49Jtbyb
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Strategic Planning | Project Management | Customer Relationship Management | Performance Management | Business Intelligence
Gen AI can help manufacturers improve operational efficiency and productivity. They need 5 steps to unlocking AI: 1) identify #DataQuality problems 2) set up data quality team and #AgileModel 3) fit data at scale 4) focus on biggest problem 5) maintain data quality. #NeverJustTech
It’s no secret that gen AI can help manufacturers improve operational efficiency and productivity. However, low-quality data is a barrier to harnessing gen AI’s full potential, resulting in organizations leaving significant value on the table. Learn how to unleash the true power of AI in manufacturing by enhancing data quality and following 5 key steps. https://mck.co/49Jtbyb
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👾 BitNet b1.58: Pushing AI Quantization to the Extreme 🏋♂️ Pushing Quantization Boundaries: The remarkable aspect of BitNet b1.58 is its ability to push quantization to 1.58 bits for complex models like LLMs, far beyond the conventional 8-bit standard. This advancement demonstrates that even the most sophisticated models can still retain high quality even through extreme quantization. 📊 Ternary Quantization: The complexity of AI models is addressed not by reducing parameters, but by streamlining each one. Ternary quantization reduces each weight to -1, 0, or 1, maintaining the model's total parameters while enhancing efficiency. 🤖 Efficiency-Driven Innovation: BitNet b1.58 exemplifies that innovation can stem from the optimization of current models. It presents a novel scaling law, demonstrating how to preserve model performance while substantially increasing inference speed and energy efficiency through ternary quantization. Our team at EVS is skilled in advanced quantization techniques to optimize AI performance. Can you say the same about your models? Read more about it here: https://lnkd.in/gtp6k2Hr #innovation #llm #quantization #artificialintelligence #deeplearning
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As modern IT environments grow increasingly complex, maintaining system performance and reliability has become more challenging than ever. Explore how AI revolutionizes observability, from automated anomaly detection to advanced monitoring of AI-driven systems: https://lnkd.in/g7miV_yx
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🌟 Our recent study "Industrialization of AI in Production", published in the ICNAP Study Report 2023, provides deep insights into the effective integration of AI in the manufacturing industry. One of the major obstacles facing AI projects is the transition from prototypes to practical, integrable solutions. This can be achieved by holistic AI management that allows multiple use cases to be handled simultaneously. For example: ▶️Predictive Maintenance - Identifying maintenance needs before product quality degrades or machines fail. ▶️Predictive Quality - Prediction of product quality ▶️Visual Defect Inspection - Quality control 👉 Our solution: We recommend creating a comprehensive framework that includes both an organizational process framework and a technical reference architecture. This framework is designed to effectively manage all AI activities in the production environment. For a detailed exploration of our solution, you can download the full ICNAP Study Report 2023 here: https://lnkd.in/eZWa3D5H 🤝 Our approach has been validated through expert interviews and real-world implementation with an industry use case for machine validation. Authors of the study: Jan Hellmich, Henrik Heymann, Dr. Robert Schmitt #AIinProduction #2023Review
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Enhancing Industrial Anomaly Detection with RealNet: A Unified AI Framework for Realistic Anomaly Synthesis and Efficient Feature Reconstruction In industrial image anomaly detection, self-supervised feature reconstruction methods show promise but still grapple with challenges such as generating realistic and diverse anomaly samples while mitigating feature redundancy and pre-training bias. ... https://lnkd.in/eFRigKbw #AI #ML #Automation
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