5 best practices for making your organization's data AI-ready
By: Informatica View more from Informatica >>
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GenAI Production Readiness Engagement
By: AllCloud
Type: Product Overview
Generative AI is powerful, but unlocking its full potential requires careful planning. AllCloud's complimentary GenAI Production Readiness Engagement helps identify high-value use cases and develop a strategic roadmap for successful implementation.
In this two-week engagement, you'll:
- Identify top generative AI use cases for high ROI
- Discuss data management, governance, security, and AI ethics
- Receive a prioritized list of use cases, a detailed architecture diagram, and a tactical roadmap
- And more
Read on now to learn how AllCloud can help accelerate your generative AI journey with confidence.
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Discover the 6 dimensions of generative AI readiness
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To leverage generative AI (GenAI), organizations must focus on six readiness dimensions: strategy and governance, data management, AI models, platform technology and operations, people skills and organization, and adoption and adaptation. High GenAI readiness involves aligning business and IT, optimizing data management, selecting the right models, building a solid technology foundation, upskilling the workforce, and improving GenAI integration. Addressing these areas helps organizations apply GenAI to drive innovation and optimization. Read the full blog post to learn more about achieving high GenAI readiness and realizing its benefits.
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Lay the Foundation for AI Success with Application Integration Management
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Transform integration complexity into a strategic advantage for your AI journey. During this session, you'll learn essential techniques to map critical data flows, identify powerful integration patterns, and establish robust compliance frameworks—creating the foundation for AI-ready systems. Discover how leading organizations are using Ardoq to reduce risks, unlock hidden data opportunities, and accelerate AI initiatives through effective integration management. Join us to see how turning integration chaos into controlled clarity isn't just about governance—it's your gateway to responsible AI innovation. Jumpstart your AI-ready architecture today.
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Data strategy guidelines for AI: A practical guide for IT leaders.
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This infographic offers IT leaders a checklist of data requirements for implementing predictive and generative AI technologies. Discover key data considerations to ensure AI initiatives deliver business value. Review the infographic to build a solid foundation for your organization's AI strategy.
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AI compliance strategies for the evolving regulatory landscape
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As generative AI transforms business, it raises new compliance challenges. This white paper explores how CISOs can modernize governance strategies to balance innovation with risk management. Discover best practices for data privacy, localization, and responsible AI. Read the paper to stay ahead of evolving AI regulations and security threats.
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Put Data First to Drive Greater AI Value
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Syniti's Data First approach prepares organizations for AI by addressing data quality issues that hinder AI. Their Knowledge Platform evaluates, enhances, and manages data quality, aligning it with business goals. This empowers enterprises to use AI for innovation and efficiency. Learn how Syniti can build your AI-ready data foundation.
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Prepare your organization for AI success with the right foundations
By: Nexon
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Australian organisations are evolving in AI readiness, with data maturity and infrastructure modernisation as key factors. Research shows 30% of companies now feel prepared for AI, up from 9% earlier in 2024. For SMBs and mid-market firms, strong data foundations are crucial for AI success in 2025. Read the report for comprehensive insights.
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Prepare your data architecture for the demands of generative AI
By: Informatica
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Successful GenAI implementation requires addressing critical data challenges: data quality (42%), privacy and protection (40%), AI ethics (38%), sufficient domain-specific training data (38%), and AI governance (38%). View this infographic to learn how modernizing your data architecture can help overcome these challenges for GenAI success.
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Getting your data AI-ready: A comprehensive guide
By: Hewlett Packard Enterprise
Type: White Paper
As AI continues to advance, more and more organizations are beginning to adopt automation technologies to gain a competitive advantage and drive innovation, and the key to leveraging these tools is data. However, said data needs to be AI-ready. So, how can you ensure this? Dig into this white paper to learn more.
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Is your business ready for data governance software?
By: Veritas
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It's important to ensure your organization is ready for a governance tool, or your software purchase is likely to fall flat. This e-guide takes a look at three different scenarios where data governance tools are often used to help you determine if your organization is ready for data governance software.
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Operationalizing GenAI: From Pilot to Enterprise-Wide Value Creation
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Type: Talk
Today's business leaders are racing to adopt Generative AI to streamline operations, transform customer experiences and fuel innovation. But achieving these objectives demands more than technology —success requires a comprehensive GenAI strategy that unites business and IT priorities, establishes robust data governance, and defines clear ethical boundaries. In this session, Kader Sakkaria (Head of Global Data Technology at Allied Consulting Group) explores how leaders can strategically implement GenAI across functions to create long-term, sustainable value. Join him to explore common challenges – from data readiness to scaling solutions – and get a strategic framework to overcome them. By joining this session, you’ll discover: - A strategic framework for aligning GenAI initiatives with business objectives while establishing the governance and ethical guidelines needed to ensure responsible implementation. - How to assess organizational data readiness and build the foundational capabilities required to scale GenAI solutions across functions. - Best practices for navigating common implementation challenges and measuring ROI as you transition from experimental pilots to enterprise-wide GenAI deployment. - And more... About the Speaker Kader Sakkaria is a visionary technology leader with extensive experience leveraging cutting-edge technologies to drive business transformation. As the Head of Global Data Technology at Allied Consulting Group, he has spearheaded innovative AI and data strategies for multinational organizations, focusing on operational efficiency and customer experience. Kader is a recognized expert in enterprise AI adoption, with a strong emphasis on ethical and scalable implementations.
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99 AI Problems But Data-Fitness Ain't One
By: Hitachi Pentaho
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AI can be transformative but requires data-fitness to succeed. In this white paper, you'll learn how to provide the high-quality, AI-ready data your business needs to unlock AI's full potential. Download now to discover how Pentaho's data management solutions can help get your organization data-fit.
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Unlock the power of AI-grade data-fitness for your business
By: Hitachi Pentaho EMEA
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AI can be transformative but requires data-fitness to succeed. In this white paper, you'll learn how to provide the high-quality, AI-ready data your business needs to unlock AI's full potential. Download now to discover how Pentaho's data management solutions can help get your organization data-fit.
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10 steps to harness the power of your data
By: forty8fifty
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Ready to take your data analytics and AI strategies to the next level? In this white paper, you’ll discover a 10-step checklist for getting the most out of your data, analytics, and AI initiatives. Read on to discover how you can harness the power of your data and drive your organization’s competitive edge.
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Five Key Orchestration Capabilities to Achieve AI Value at Enterprise Scale
By: IBM
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To gain value from GenAI, organizations need a strategic, organization-wide approach to AI. This requires significant investment in time and resources, as well as the right tools. Five key orchestration capabilities can help organizations achieve this goal. Read on to learn more.
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The Business Case for IT/OT Collaboration in Modernizing Industrial Networks
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Leaders are accelerating IT/OT collaboration for success, and seeing significant operational and financial benefits of this approach. This business case highlights the key drivers of OT modernization, the specific advantages including standardization, advanced cybersecurity, network automation, and AI readiness.
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Enterprise-Grade Generative AI: Building a robust data foundation with Informatica & AWS for an Agentic AI future
By:
Type: Replay
What’s in it for the Customers and Prospects? While Generative AI is at the forefront of every leader’s mind to drive innovation and competitive edge, the successful adoption of generative AI within an enterprise goes beyond choosing the right use case and LLMs. It hinges on a robust and trusted data foundation that can fuel enterprise-grade generative AI. A strong data foundation demands scalability, data quality, seamless integration, governance, and must understand your business to ensure that generative AI applications produce relevant, accurate, trustworthy, and quality outcomes. Join Informatica and AWS to learn about the following topics: • How enterprises are achieving their GenAI goals • Innovations and Insights • Considerations for successful GenAI implementation in the enterprise • Requirements for AI-ready data foundation and how data can be your GenAI differentiator • Best practices for delivering Enterprise Ready GenAI at scale with Informatica & AWS
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Game-changing storage innovation meets business advantage
By: Dell Technologies
Type: ESG White Paper
Dell Technologies recently announced PowerStore Prime, which is a comprehensive integrated offering that combines new all-flash storage advancements with strategic business advantages to help organizations compete in an AI-accelerated yet economically challenged world.
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Dell PowerStore Prime: Game-Changing Storage Innovation Meets Business Advantage
By: Dell Technologies
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ESG reviewed the product and program capabilities and assessed how they would benefit customers and partners. ESG found that Dell PowerStore 4.0 offers increased performance, efficiency and resiliency as well as multicloud capabilities.
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Get Your Data Ready for Copilot
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Are you ready to take your data to the next level? In our 'Power Up with Purview' bonus level webinar, we will go over how Copilot for Microsoft 365 can leverage your company’s own content and context to increase your users’ productivity. But first, how do you evaluate your company's risk for Copilot; How secure is your Microsoft 365 cloud? Do you have a well-defined permissions structure, and a clear data governance strategy? Copilot can be a game changer, yet the value of making sure your data is secure and governed correctly before applying generative AI tools cannot be underestimated. To ensure your data is ready for Microsoft Copilot, we will go over: - Copilot for M365 overview and technical architecture - The data that Copilot leverages - Why securing your data before Copilot is imperative - Minimum mandatory requirements vs data optimization for copilot - Licensing Information for using Purview and Copilot
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Data Hub Strategy for Effective AI and Analytics Governance
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Type: Video
Data governance has been around for over a decade, but nothing has underscored the need for clear and effective data governance for business data readiness more deeply than generative AI. While 2023 was the year of the AI rush, in 2024, we will experience a renewed focus on the ethics of data collection and use and strategies for reducing the security risks associated with it. Information security, data quality and data richness are becoming prerequisites for companies looking to leverage generative AI. But generative AI hinges primarily on unstructured data, which requires a robust data management foundation to leverage its value. This highlights the need for new data integration and data architecture requirements. Enter data hubs. These systems offer a proven data architecture for greater governance of large and complex data. David Kaaret, Progress MarkLogic's Principal Sales Engineer, goes over how building a data hub can support effective data and AI governance. The webinar covers: - What the critical components of data governance are - Why data privacy concerns matter - How to better secure critical information and proprietary data - Which governance-first capabilities to look for in a data management tool - How Progress MarkLogic can help you build a data hub and implement a data governance policy that fits your data Whatever your data strategy for 2024 looks like, having a strong data management foundation in place is imperative to put the guardrails on your data access.
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How generative AI will reshape the enterprise
By: DataBricks
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Generative AI is revolutionizing enterprises, democratizing access to AI and driving adoption across business functions. This e-book from MIT Technology Review explores how IT leaders are leveraging large language models to unlock business value. Read on to discover key considerations to get started and more.
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Laying the foundation for data and AI-led growth
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By analyzing insights gathered from 600 technology professionals, this research report aims to identify why and how organizations are investing in a data and AI-driven future. Read on to uncover key insights and discover why organizations are chasing the upside of AI despite its potential challenges.
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By: AllCloud
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In this product overview, you'll learn how you can assess your readiness to migrate data to AWS with AllCloud's free 1-2 day assessment. Their experts will evaluate your data management, provide a migration roadmap, and estimate costs. Read on now to learn how to unify your data and accelerate your data journey.
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2024 Data and AI Trends Live Webinar
By:
Type: Replay
Your company is ready for generative AI. But is your data? In the AI-powered era, many organizations are scrambling to keep pace with the changes rippling across the entire data stack. In this live webinar, our Google Cloud experts will share findings from a recent survey of business and IT leaders about their goals and strategies for harnessing gen AI—and what it means for their data. Topics we will cover: - How gen AI will speed the delivery of insights across organizations - The blurring of data and AI roles - Why AI innovation will hinge on strong data governance - How operational data will unlock gen AI potential for enterprise apps - Why 2024 will be the year of rapid data platform modernization
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Unlock the Power of Data Lineage for Governance and Innovation
By: Hitachi Pentaho
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Data lineage is crucial for building trust, simplifying compliance, and enabling AI-powered decision-making. Learn how Pentaho+ provides end-to-end visibility and automation to integrate data lineage into your enterprise. Read the full e-book to unlock the strategic benefits of data transparency.
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Master AI governance: Align innovation with risk mitigation
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As AI adoption accelerates, your organization must be ready with future-proof and effective governance frameworks that drive innovation and risk mitigation across industries. This on-demand webinar is designed to offer risk, compliance, IT, data science, and analytics teams insightful strategies on navigating governance complexities — enabling you to transform them into a swift and dependable process. You’ll hear real-world governance approaches from guests and thought leaders such as Forrester, the Federal Reserve Bank of New York (FRBNY), and Domino Data Lab — and discover how to: - Craft and implement governance policies that meet multi-jurisdictional and organizational requirements, including unique considerations for Generative AI (GenAI). - Assign accountability within AI governance structures, ensuring seamless operations and clear oversight. - Uncover key metrics to evaluate the effectiveness of your AI governance framework, optimize business value, and enhance AI project visibility.
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Extend AI across your organization – with confidence
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AI is everywhere. To boost productivity and innovation, your business needs to be ready to operationalize AI beyond initial development and deployment. HPE has the technology, software, and services to help you extend AI across your organization with confidence. Discover how HPE can help you in this report.
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AI is transforming state and local government in traffic management, public safety, and citizen services. This guide covers practical use cases, trends like edge computing, and best practices. Learn to prioritize projects, tackle data quality, and build partnerships. Discover how AI can enhance your agency's value to the community.
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AI is transforming state and local government in traffic management, public safety, and citizen services. This guide covers practical use cases, trends like edge computing, and best practices. Learn to prioritize projects, tackle data quality, and build partnerships. Discover how AI can enhance your agency's value to the community.
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Ask The Expert: Is Your Data GenAI-Ready?
By:
Type: Talk
Join us for an insightful fireside chat with Jean-Luc Chantain, former Global CTO of AI at Accenture. We'll discuss techniques and best practices for leveraging the power of enterprise data for Generative AI use cases. Jean Luc will unveil solutions to conquer critical enterprise data challenges in unleashing the power of GenAI, including: * Data governance and security * Metadata and data prep * Prompt engineering and retrieval augmented generation (RAG) Don't miss this opportunity to learn from one of the world's top AI experts, and ask your specific questions about data readiness for GenAI.
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Get data-fit with Pentaho
By: Hitachi Pentaho
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Pentaho+ is a modular data intelligence platform that helps organizations refine, explore, curate, and control their data. With features like data integration, business analytics, and data optimization, Pentaho+ can enable data-driven decision making and AI readiness. Read the full product overview now to learn more.
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Optimize your data with a modular intelligence platform
By: Hitachi Pentaho EMEA
Type: Product Overview
Pentaho+ is a modular data intelligence platform that helps organizations refine, explore, curate, and control their data. With features like data integration, business analytics, and data optimization, Pentaho+ can enable data-driven decision making and AI readiness. Read the full product overview now to learn more.
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Secure and Scale Your LLM Traffic with Semantic AI Gateway
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Type: Video
AI integration has become a strategic imperative for maintaining competitive advantage. Join our on-demand session to discover how Kong Konnect's semantic AI Gateway enables intelligent routing, advanced load balancing, and comprehensive security for your AI applications. What You'll Learn: Manage and monitor popular LLMs with enterprise-grade security Enhance performance through semantic intelligence and caching Optimize AI costs with detailed traffic observability Watch our on-demand webinar to learn how organizations are building secure, scalable AI applications with Kong Konnect. Ready to build your AI strategy? Download our guide: "Navigating AI Innovation: A Playbook for Secure and Governable LLM Integration" to learn best practices for enterprise LLM adoption. https://konghq.com/resources/e-book/ai-governance-playbook-innovation-meets-security
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In this e-book, you’ll discover how you can leverage the transformative power of artificial intelligence (AI), machine learning (ML), and deep learning (DL) to make the most of your data. Read on to learn how you can overcome the most troublesome deployment challenges and build a production-ready AI/ML environment.
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Best practices for effective AI implementation
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Strategic AI Governance: Implementing Effective Controls in Financial Services
By:
Type: Video
AI is transforming every function—Legal, Compliance, Finance, IT, Operations, Third-Party Risk, and beyond. But without AI readiness, governance, and risk management, organizations face compliance gaps, security vulnerabilities, and ethical challenges. How can you integrate AI governance effectively? Do you have the right data, frameworks, and controls to manage AI’s risks and opportunities? Is your AI strategy future-proof against rapid advancements? Join our expert-led webinar to gain actionable insights, real-world use cases, and technology-driven solutions to build a strong AI governance strategy. What You’ll Learn: - Artificial Intelligence 101: Establish a consistent AI definition and distinguish it from ML. - AI as a New Risk Driver: Identify key risk categories, domains, and frameworks affected by AI. - Building an AI Inventory & Future Strategy. - Practical Steps for AI Governance: Evaluate existing governance structures and integrate AI-specific controls. - Leveraging Technology for AI Compliance: How to use automation, monitoring, and reporting tools for AI oversight.
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Navigating Microsoft Copilot adoption: Strategies for low-risk implementation
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Type: Replay
Artificial Intelligence (AI) is not just another technology; it’s an enabler for organizations to achieve significant improvements in efficiency, insights, customer experience, and innovation. Behind the hype of AI exists a basic truth: AI relies on how well you’ve prepared and unified your data. But AI also presents some tough challenges around scalability, security, and data governance. SoftwareOne is here to help your organization confidently embrace the transformative potential of this cutting-edge technology. Copilot for Microsoft 365 is emerging as an incredible opportunity for businesses to transform into a modern, high-performance workplace. Through comprehensive guidance, SoftwareOne helps organizations understand their readiness for Copilot integration. “Navigating Microsoft Copilot adoption: Strategies for low-risk implementation” will showcase how SoftwareOne approaches Copilot readiness and help you think through an adoption game plan. View our webinar to learn: - The benefits and risks of generative AI - What Copilot can do for your business - How to build a safe environment for Copilot in your organization
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Ensuring Data Integrity for Compliance, AI Readiness, and Operational Efficiency in Energy & Utilities
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Type: Talk
Energy and utility providers are under growing pressure from shifting regulations, rising AI-driven energy demands, and complex infrastructure challenges. In this environment, poor data quality isn’t just a technical issue—it’s a business risk. On April 30, TTC Global and Tricentis will help you learn how automated, continuous data validation helps energy organizations reduce compliance costs, prevent operational errors, and ensure data is trusted, auditable, and ready for AI-scale demands. Whether you're focused on compliance, data governance, or operational efficiency, this session will equip you with strategies to drive performance, reduce risk, and future-proof your data. Join this webinar and walk away with: - Proven strategies to reduce compliance costs through automation - Methods to boost operational performance with trusted data - Scalable approaches to support AI and data center energy demands - Tools to stay audit-ready with continuous data validation - Insights to enable faster, data-driven decisions across teams This webinar is ideal for data and compliance professionals in the energy and utilities sector who are responsible for ensuring data accuracy, meeting regulatory requirements, and driving operational performance. Roles include Data Governance Leads, Compliance Officers, Risk Managers, IT/Data Architects, Audit and Regulatory Specialists, and Operations or Infrastructure Leaders looking to improve data trust, reduce costs, and support AI and digital initiatives with confidence.
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AI, Data Governance, and the Future of Financial Services
By: Hitachi Pentaho
Type: White Paper
As AI transforms financial services, robust data governance is crucial for ethical, compliant, and impactful AI adoption. Learn how Pentaho's expertise can help your organization achieve AI-grade data fitness and build a future-ready financial ecosystem. Read the full whitepaper.
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Is Your Company’s Data Ready for Machine Learning?
By:
Type: Replay
Machine Learning (ML) is a new field, and there is a competitive advantage to those first adopters. Yet, many companies are buying ML technologies and developing strategies before they have taken the appropriate step back to evaluate whether their data is ready or not. In this webinar, we’ll explore the evolution of Machine Learning as part of the broader data science discipline, and discuss why the fundamental need for data readiness is so crucial. Learn key steps to evaluate the readiness of your data and review how a governed data supply chain using automated orchestration can deliver a reliable engine for Machine Learning platforms today.
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Is Your Company’s Data Ready for Machine Learning?
By:
Type: Replay
Machine Learning (ML) is a new field, and there is a competitive advantage to those first adopters. Yet, many companies are buying ML technologies and developing strategies before they have taken the appropriate step back to evaluate whether their data is ready or not. In this webinar, we’ll explore the evolution of Machine Learning as part of the broader data science discipline, and discuss why the fundamental need for data readiness is so crucial. Learn key steps to evaluate the readiness of your data and review how a governed data supply chain using automated orchestration can deliver a reliable engine for Machine Learning platforms today.
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Preparing for the Attack: Cyber Resilience Strategies for Security & IT Leaders
By:
Type: Video
Join us for our expert panel discussing the importance of cyber readiness through recovery testing and risk management in this new era of cyber threats. Our panel will delve into the impact of new rules and governance around SEC and DORA cybersecurity disclosure regulations, strategies for bridging the gap between incident response planning and readiness, leveraging AI to combat increasingly AI-driven threats, and emerging trends in cyber insurance and forensics. You’ll walk away with greater insight on: • How to proactively plan and protect your organization’s assets • How to use AI to combat AI-driven threats to build better cyber resilience • Ways to create an operation that applies best practices in security, governance, and risk management
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Building Trust in AI: Data Security Essentials for Educational Institutions
By:
Type: Video
As AI technologies like Microsoft's Copilot for Education become increasingly prevalent, educational institutions face both unprecedented opportunities and unique challenges. View our latest webinar to learn best practices around data privacy, security and compliance, and how to leverage Copilot for M365 as groundwork for AI success in education. Key topics covered include: The growing importance of AI in education and its potential impact Real-world examples and use cases of AI applications in educational settings Essential data security considerations for successful AI implementation Best practices for preparing your institution's data infrastructure for AI integration Strategies for building trust in AI systems among educators, administrators, and students Presented by industry experts Timothy Boettcher (AvePoint) and Kevin Walter (Netrix Global), this webinar will provide actionable insights for educational leaders looking to harness the power of AI while maintaining robust data security and governance. Learn how to lay the groundwork for responsible AI adoption, ensure data readiness, and implement necessary safeguards to protect sensitive information. Whether you're just beginning to explore AI possibilities or are ready to scale existing initiatives, this webinar will equip you with the knowledge and tools needed to navigate the AI landscape in education confidently and securely.
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Partnering for AI-Ready Data Centers
By: Schneider Electric
Type: eBook
As AI drives rapid data center growth, it's critical to decouple this from environmental impact. Learn how Schneider Electric's solutions can help you secure resilient, low-carbon energy, deploy efficient AI-ready infrastructure, and implement sustainable business practices. Download the eBook to learn more.
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Securing the Future: Data Governance in the Age of AI
By:
Type: Talk
AI isn't new, there are many AI experts who have worked in this industry for a number of years. While I am no AI expert, my area of expertise - data governance - positions me as a guardian against the potential pitfalls organizations may encounter as they delve into the realm of AI. Data governance and AI governance are critical bedfellows to safeguard against evolving technology moving organizations into the unknown. At a time where AI can be both empowering and daunting, understanding is critical to preventing misuse and fostering harmony. Join me as we explore how data governance and AI interact, and receive a roadmap to navigate this thrilling yet complex terrain. Audience takeaways: - The role of data governance in shaping the journey of AI initiatives. - Cultivate a culture of ethical awareness and responsibility in the deployment of AI technologies. - Strategize for prudent investments in AI by discerning value propositions and mitigating risks. - Evaluate the quality and integrity of your organization's data as a base for AI systems. - Align AI practices with your corporate ethos to design and uphold ethical standards. About the Speaker Joanne has recently worked in the Insurance industry as a Deputy Head of Data at DUAL UK and Head of Data Governance at Hastings Direct - prior to this Joanne has over 20 years of experience working in the Finance industry. Joanne has run teams whose key remit is to ensure data accuracy, follow legal and regulatory requirements and produce evidence of this compliance. Since specialising in Data Governance Joanne has been able to lean on this experience to help organisations to treat data as an asset. It is this expertise which has led Joanne to be asked for guidance and support to navigate technological advancements such as AI.
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Navigating the Data Analytics Horizon: O2's Cloud-Driven Vision
By:
Type: Video
In this video, out 02 Czech Republic experts discuss Cloud, AI and the future. More specifically, topics around data observability, security and lineage, strategic approach to securing important data, data governance, and data and model democratization.
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Securing Embedded AI: Accelerate SaaS AI Copilot Adoption Safely
By:
Type: Replay
AI Copilots such as M365 Copilot bring transformative potential, empowering your company employees to access and analyze vast amounts of enterprise data within SaaS applications. While this significantly boosts employee productivity, it introduces new data security and governance risks. In the rush to adopt Copilot adoption, many organizations have overlooked essential data controls, leading to unintended exposure of sensitive information. Employees may unknowingly query confidential data, such as salary details, M&A plans, or even passwords—information they should not be able to access.In this webinar, we will discuss a framework for enforcing best practices for safely adopting AI Copilots such as Microsoft 365. By putting in place robust data security and governance measures, we will explore how to prevent unauthorized data access and ensure that sensitive data remains protected when using Microsoft 365 Copilot within the company. Key Takeaways: • Understand the security implications of an unplanned AI Copilot rollout • How to evaluate your organization’s readiness for AI Copilot adoption • Implementing a 6-step framework for automating data security and using Copilot safely
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Four Things You Need to Know Before Undertaking an AI Project
By: NVIDIA
Type: eBook
Discover the four key things to know before starting an AI project. Learn how to map your AI journey, de-risk your projects with the right tools, upskill your talent, and leverage a scalable AI platform. Read the eBook to unlock turnkey enterprise AI success.