Strengthening Gen AI with Iguazio's Data Science Platform Iguazio, acquired by McKinsey in 2023 and integrated into QuantumBlack, enhances AI development with its data science-based platform. As part of QuantumBlack Horizon, McKinsey’s AI development suite, Iguazio addresses key enterprise challenges in moving from AI proofs of concept to live implementations: 1. Scaling: Efficient and effective implementation and scaling of generative AI applications. 2. Governance: Robust guardrails ensure essential monitoring, data privacy, and compliance, mitigating risk. This integration drives AI innovation and experimentation, supporting enterprises in advancing their generative AI solutions. 4o
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Scaling and standardizing infrastructure for AI-based solutions is a must For seamless integration, transition, optimal performance, data integrity, and scalability. This lays the groundwork for transformative AI-driven insights and efficiencies. Learn how we do it at Mobisoft: https://zurl.co/6kJ2 #AI #artificialintelligence #AItransformation #AIinfrastructure
Artificial Intelligence Services | AI Development Company
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Dataiku's new LLM Guard Services could revolutionize enterprise AI deployment. By prioritizing safety and governance, they're addressing the elephant in the room: responsible AI adoption. Will this be the catalyst that propels generative AI into mainstream business use? #AIGovernance #EnterpriseAI #ResponsibleAI #DataScience #TechInnovation What's your take on the balance between AI innovation and safety in business?
Dataiku launches LLM Guard Services to enhance generative AI deployment - SiliconANGLE
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How CIOs navigate generative AI in the enterprise
How CIOs navigate generative AI in the enterprise
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It’s great to share the news of another string to our AI bow here at McKinsey & Company. Iguazio (Acquired by McKinsey) is the latest integration to our QuantumBlack, AI by McKinsey arm. It uses the principles of data science to help companies develop, deploy, and manage AI solutions, while staying focused on scale and governance – the two biggest blockers to moving from concept to value with AI. I’m looking forward to seeing this latest innovation accelerate the benefits of AI for our clients. #GenerativeAI #ArtificialIntelligence #Growth
McKinsey accelerates gen AI value creation with Iguazio
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Exciting developments in Generative AI at OCI! The newly introduced OCI Generative AI Service is a game-changer, offering a fully managed framework for Gen AI model tuning and hosting, reducing deployment timelines from months to days. This means quicker customization for a variety of applications, from content summarization to conversational interfaces. Generative AI, with its ability to independently create content, is transforming tasks previously beyond AI's reach. The blog delves into the inner workings of OCI Generative AI, exploring easy model customization, cost-efficient hosting, and crucial functionalities for enterprise adoption. The key lies in leveraging powerful base models and customizing them for diverse applications. OCI Generative AI enables this through fine-tuning, using techniques like T-Few for efficient parameter adjustments. Security and privacy are paramount, with dedicated GPU clusters ensuring data isolation and encryption. OCI Generative AI is engineered for enterprise customers, offering a secure, cost-effective solution for hosting multiple fine-tuned models. The service is poised to revolutionize how businesses tap into generative AI capabilities, making it easier to combine the prowess of Large Language Models with proprietary data. Check out the blog for a deep dive into the transformative capabilities of OCI Generative AI. #GenerativeAI #AIInnovation #OCI #CloudComputing https://lnkd.in/gTGP9xX8
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While #promptengineering has provided a temporary solution during the initial push for LLM adoption, fine-tuning and #RAG offer more robust approaches, allowing businesses to leverage LLMs effectively for specific enterprise use cases. By focusing on these methods and by including humans in the loop, we believe organizations can achieve scalable, accurate, and reliable #generativeAI, ultimately realizing the full potential of #LLMs. Learn more by reading this article from our Co-founder and General Manager of North America, Noam Harel, via ITPro Today => https://lnkd.in/gamZeYGC #ai #genai #gai #enterpriseai #llmops #machinelearning
Is Prompt Engineering Dead? How To Scale Enterprise GenAI Adoption
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Data quality key to AI success over generative tech by 2025 - IT Brief Australia: As the adoption of AI accelerates towards 2025, experts stress the importance of data quality and governance over generative technologies in ...
Data quality key to AI success over generative tech by 2025
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Decoding the AI Revolution: Simple Strategies for Enterprises to Harness General AI Benefits.
Genie out of the bottle: Generative AI as growth catalyst
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One of the biggest IT challenges facing IT leaders is how to navigate generative AI. I was delighted to be asked to contribute to this article along with some great peers. Hope you find it thought provoking.
How CIOs navigate generative AI in the enterprise https://trib.al/dfCNar5
How CIOs navigate generative AI in the enterprise
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🏢 The rise of genAI is revolutionizing innovation across companies on a grand scale. However, in order to ensure success, business leaders must carefully oversee its adoption to maintain code quality and mitigate technical debt. In an article by CIO Online's Bill Doerrfeld, Sonar CIO Andrea Malagodi shares his thoughts on adopting a “Clean as You Code” approach, emphasizing static analysis and unit testing to ensure AI-generated code is consistent, intentional, responsible, and adaptable. Read the full CIO article here: https://lnkd.in/gegbYN3C #CleanCode #GenAI #AI #ArtificialIntelligence #CodeQuality #SoftwareDevelopment #Productivity #RiskReduction #CleanasYouCode #CIO
How CIOs navigate generative AI in the enterprise
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