Tatiana Hürlimann’s Post

Discover the top generative AI companies of 2024 on ITFirms, showcasing leaders in AI-driven innovation and digital transformation. Elevate your business by partnering with these cutting-edge firms. Explore more at: https://lnkd.in/gyfhsirc #AI #AICompanies #ITFirms

How can we generate real value for customers, employees and shareholders with #genAI?   This article explains how generative AI can be put to work and also present four pillars to begin unleashing its full power. 🌟 ✅ Build a strong data foundation ✅ Leverage large language model operations (LLMOps) ✅ Manage for potential shadow AI ✅ Choose the right use cases Learn more here: https://lnkd.in/eEHjEgTj   #data #responsibleAI #LLMOps

Is your business ready AI? AI depends on a powerful, scalable data layer that fuels smarter, more dynamic systems. Learn how the right data strategy can unlock AI capabilities that transform your business. #cio #cto #ai #datastrategy #database #nosql #innovation #couchbase

https://lnkd.in/gy4qX3ru Generative AI in Analytics: Part 1 – Unlocking New Possibilities with ClickHouse by Can Sayın #ClickHouse #OLAP #SQLTips #ClickHouseTips #DBATips #DBA #ClickHouse #AI #ML #DeepLearning #Automation #GenAI #GPT #ChistaDATA #ChistaDATACloud #ChistaDATADBaaS

How can we generate real value for customers, employees and shareholders with #genAI? This article explains how generative AI can be put to work and also present four pillars to begin unleashing its full power. Learn more here: https://lnkd.in/eEHjEgTj #data #responsibleAI #LLMOps  https://lnkd.in/gCTrJ4sY

Great article Neeraj Sripuram, PMP, ITIL ! If I can append, Organizational Change Management should be prioritized alongside tech advancements such as generative AI. 🏛️The 4 Pillars 🏛️ 1. Build a strong data foundation 2. Leverage large language model operations (LLMOps) 3. Manage for potential shadow AI 4. Choose the right use cases Some examples on how Organizational Change Management (OCM) can support are: 1. Establishing a robust data foundation by fostering a culture that values data integrity, accessibility, and security by facilitating workshops to promote data literacy across different departments. Ensuring that employees understand how to collect, process, and analyze data effectively. 2. Facilitate change management initiatives (such as cross-functional training sessions and communication strategies), to ensure that teams understand the capabilities and implications of LLMOps. For instance, OCM can organize forums where data scientists and business leaders discuss how LLMOps can enhance customer service or optimize marketing campaigns. 3. Proactively address the risks associated with shadow AI by promoting transparency, accountability, and governance. OCM ensures that employees understand the implications of deploying AI solutions without proper oversight fostering a culture of openness and compliance. OCM mitigates the risks of unauthorized AI deployments and ensures that AI initiatives align with the organization's strategic objectives. 4. OCM guides organizations in selecting the most suitable use cases for AI implementation by aligning technology initiatives with business goals and priorities. OCM can facilitate workshops where business leaders and data experts collaborate to prioritize use cases based on factors such as feasibility, impact, and alignment with organizational strategy. OCM is a keystone for driving successful Generative AI implementations, fostering innovation, enhancing efficiency, promoting agility, and upholding ethical standards and focuses on the human side of change.

This new benchmark represents a first attempt at taking a truly scientific approach to validating large AI models against real-world business tasks. See how Salesforce performed, and reach out if you need help leveraging AI with your Salesforce environment. #salesforceai #salesforceeinstein #einsteinai

How can we generate real value for customers, employees and shareholders with #genAI?   This article explains how generative AI can be put to work and also present four pillars to begin unleashing its full power.   Learn more here: https://lnkd.in/eEHjEgTj   #data #responsibleAI #LLMOps

How can we generate real value for customers, employees and shareholders with #genAI?   This article explains how generative AI can be put to work and also present four pillars to begin unleashing its full power.   Learn more here: https://lnkd.in/eEHjEgTj   #data #responsibleAI #LLMOps

FYI: Leveraging AI and machine learning capabilities within Pretectum CMDM for predictive analytics: Leveraging advanced technologies like AI and machine learning within Pretectum CMDM (Customer Master Data Management) represents a transformative step towards enhanced analytics and customer data management. This integration empowers organizations to improve data democratization, enabling proactive strategies that anticipate customer data trends with remarkable flexibility and precision. The core of this innovation lies in seamlessly incorporating AI and machine learning into Pretectum CMDM's search capabilities, allowing organizations to efficiently locate and identify records, thereby facilitating informed decision-making. Initial explorations into large language models (LLMs) have demonstrated their potential to analyze structures, identify patterns, and optimize query structures, ultimately minimizing search friction for users. #CMDM #AI #ARTIFICIALINTELLIGENCE #LLM