Unlocking AI innovation with trusted data 🎯 AI-based insights are transforming how businesses make critical decisions. At the heart of it all is trusted data, which helps ensure accuracy and scalability. Teradata’s latest advancements look to empower enterprises in leveraging #AI for faster, smarter outcomes. ✨ Read more: 🔗https://lnkd.in/gh-29Ugg Teradata’s Trusted AI initiative focuses on delivering reliable, integrated data that businesses can depend on to drive meaningful 🤖 AI-based insights, Daniel Spurling, senior vice president of product management at Teradata, told #theCUBE. Through collaborations with industry leaders such as #AWS and #Nvidia, Teradata is solidifying its position as a leader in AI innovation. “As we move forward, it's not just about having data; it’s about having the right data, integrated and harmonized, to drive AI success,” Spurling explained. “Businesses can't afford to operate in silos anymore. They need seamless integration.” Discover how trusted data is driving AI initiatives to the next level. ⚡
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The evolution of VAST Data's unified platform marks a significant shift towards a comprehensive AI operating system. Modelled to streamline data management, this innovative system combines storage, database, and compute engines into a singular cohesive platform, inherently designed to maintain the pace with the ever-expansive demands of AI applications. At its core, the VAST DataStore provides scalable storage solutions, ensuring that data remains readily accessible. The VAST DataBase facilitates structured data management, while VAST DataEngine empowers global function execution. This triad forms a symbiotic relationship, collectively simplifying data capture, synthesis, and learning processes. For businesses leveraging AI, these advancements are not just about keeping up but leaping ahead, enabling faster and more insightful AI-driven initiatives. Harnessing the power of this integrated platform, organizations can unlock unprecedented value from their data, pushing the boundaries of what's possible in AI deployments. #AI #DataManagement #DataStorage #ArtificialIntelligence #BusinessAutomation #VASTData Visit https://workflo.agency for your edge in automation. Secure a free consultation and see how automation can redefine your operations. Don't miss the opportunity to advance your business with the latest in automation technology.
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Executive Summary The Great Acceleration: CIO Perspectives on Generative AI, a report by MIT Technology Review and Databricks, delves into the transformative role of #generativeAI in #enterpriseenvironments. This summary highlights the essential findings and recommendations: 1. Data and AI Infrastructure: • Scalability and Efficiency: Building a scalable and efficient AI infrastructure is crucial. Enterprises must invest in robust systems that support large-scale data processing and model training to harness the full potential of generative AI. • Governance: Effective governance mechanisms are necessary to manage data integrity, security, and compliance, ensuring that AI initiatives align with organizational policies and regulatory requirements. 2. Strategic AI Adoption: • Balanced Approach: Successful AI integration requires a strategic balance between leveraging third-party solutions and developing in-house capabilities. While third-party solutions offer speed and specialized expertise, in-house development fosters innovation and tailored solutions. 3. Trust and Governance: • Building Trust: Transparent AI practices are essential for building #stakeholdertrust. Organizations must implement clear governance frameworks that address ethical considerations, #dataprivacy, and accountability to mitigate #risks and enhance #AIadoption. 4. Value-Driven Use Cases: • Impactful Applications: Identifying and prioritizing use cases that deliver tangible #business value is critical. #enterprises should focus on #applications that drive significant improvements in #operationalefficiency, #customerexperience, and competitive advantage. This report underscores the importance of a #strategic, well-governed approach to AI adoption, emphasizing the need for robust #infrastructure, balanced capabilities, and transparent practices to maximize the benefits of generative AI.
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By 2026, over 80% of enterprises will harness AI APIs or generative AI applications. These technologies can transform basic applications into impactful solutions, offering immense value to customers and businesses. Data is exploding in volume and variety. According to IDC, stored data will grow 250% by 2025. This complexity makes it harder for organisations to manage and utilise data effectively. Leaders must rethink their approach, balancing technology, people, and processes to scale AI use cases. They need to modernise their data infrastructure, power data-driven applications with the right databases, and establish robust data quality and governance. Read on for more: https://lnkd.in/gJnW_Smx #OpenData #DataLake #DataLakehouse #ArtificialIntelligence #DataAnalytics
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As AI usage increases, raw data requirements will accelerate well beyond what legacy environments can handle. Can enterprises find sustainable ways to scale within space, power and budget constraints? Seagate's Global VP of Brand Strategy, Rosalina Hiu, answered how Seagate's Mozaic 3+ innovations can power data-storage strategies for businesses to drive AI success. These breakthroughs are in improving capacity through areal density, being energy efficient and optimising space for better Total Cost of Ownership (TCO). Read the full article on iTnews for more: https://lnkd.in/gRTdAvTx #Seagate #Mozaic3
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In today’s fast-paced digital world, generative AI isn’t just a tool—it's an advisor. Companies are shifting from traditional search models to intelligent systems that provide employees with the right information, right when they need it. 💡 This new approach maximizes the value of business data, enhancing productivity and driving smarter, data-backed decision-making. 📊 At Blooms, we’re excited to help our clients integrate these advanced technologies, ensuring their data architectures are optimized and future-ready. Let’s build a smarter, more connected tomorrow together! 🌍 For More Details , please contact us : Sales@blooms-sys.com #AI #GenerativeAI #DataDriven #ITSolutions #Innovation #BloomsIntegratedSolutions #TechTransformation #Oracle #Oraclepartner
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🚀 Exciting updates from the Databricks Data + AI Summit! 🚀 Databricks has unveiled several groundbreaking capabilities to enhance the development of production-quality AI systems. Drawing from extensive experience with thousands of companies, these new features are set to revolutionise AI-powered applications: 🔹 Fine-Tuning Foundation Models: Advanced support for optimising AI models tailored to specific needs. 🔹 Enterprise Catalog for AI Tools: A comprehensive catalog to streamline AI tool management and access. 🔹 New SDK for AI Agents: Simplified building, deploying, and evaluating of AI agents with the latest SDK. 🔹 Unified AI Gateway: Robust governance for deployed AI services ensuring seamless and secure operations. By harnessing enterprise data, organisations can transition from general intelligence to precise data intelligence, gaining faster, more relevant insights. We're eager to see the innovative solutions our customers will create next! intelia are specialist Databricks implementation partners. Reach out to start the conversation about how your organisation can take advantage of its incredible capabilities! #DataAISummit #Databricks #AI #Innovation #MachineLearning #EnterpriseAI
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How can Dataiku and KPMG modernize analytics and accelerate enterprise AI adoption? Dr. Sreekar Krishna, National Leader of AI (US) at KPMG, and David Tharp, SVP of Ecosystems and Alliances at Dataiku, discuss their strategic partnership to advance Gen AI capabilities securely and efficiently. #DataScience #CloudMigration #EnterpriseAI
What the KPMG and Dataiku Partnership Means for Gen AI
aimagazine.com
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Breaking data barriers in AI: Lenovo's partnership with Databricks is making AI more accessible and powerful for businesses across various industries. We’re leveraging the Databricks Data Intelligence Platform to supercharge data management and streamline AI integration through our AI Center of Excellence, offering end-to-end AI services tailored to each organization’s unique needs. Our mission? To break down data barriers, simplify access to multiple data sources, and harness the power of generative AI for business growth. According to our latest Global Study, 80% of CIOs believe AI will significantly impact their organization, yet only 43% feel their data analytics are AI-ready. We’re here to change that. Databricks understands your business’s unique data, uses natural language to simplify operations, and ensures top-notch security to keep your data private and protected. It’s a truly smart solution. Together, we're setting new standards in AI and data management - can’t wait to see what we achieve! 🤝 #WeAreLenovo #AI #Innovation #DigitalTransformation #DataManagement
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Read more about how you can leverage AI-powered data solutions to identify inefficiencies, cut energy consumption, and save money – all while driving sustainability, in our latest blog 👇 https://bit.ly/3CTAysb #DotGroup #TheDataExperts #Sustainability #Data #AI IBM IBM Data, AI & Automation
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If you are trying to understand the importance of data in the midst of this super hyped AI world, watch this interview by Sharad Kumar, Field CTO of Qlik!
CEO, Principal Analyst Intelligent World•Helping AI-Driven Companies Generating Success•Top10 AI-Data-IoT-Influencer
Eliminating Barriers to AI Adoption At the heart of AI innovation lies data readiness. During my discussion with Sharad Kumar at Qlik, at AWS Re:Invent we explored the essential principles enabling businesses to unlock the true potential of AI: 🔑 Key Takeaways: ⏰ Timeliness: Real-time data for timely AI decisions 🛡️ Security: Protecting sensitive data for safe AI adoption 🌟 Quality: High-quality data ensures reliable AI outcomes 🔗 Integration: Breaking data silos for structured and unstructured harmony 💡 Context: Business-ready data with clear understanding 📦 Shaping: Data molded for analytical applications Data isn't just a byproduct—it's the differentiator in the AI era. Companies ensuring their data is timely, secure, and actionable can lead the charge in supply chain optimization, demand forecasting, and more. 💡 Ready to transform your data into a competitive edge? Explore the six principles of AI-ready data here: https://bit.ly/4eZ50OZ #QlikPartner Qlik #AWSreInvent #AI #Qlik #GenerativeAI #Innovation #DataReadiness #DataAnalytics #ArtificialIntelligence
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