Topic: business value
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The Evolving Business Value of Social Media
Measuring social media ROI is a major challenge, with only 44% of marketing leaders confident in their expertise despite 80% shifting budgets toward social. Social media's value is dynamic and requires flexible, evolving measurement approaches that align with business goals, rather than fixed tar...
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SAP Joule: Role-Based AI Assistants That Coordinate Business
SAP introduced role-based AI assistants within the Joule ecosystem at SAP Connect 2025, designed to collaborate with professionals by handling tasks like configuration and management to enhance productivity and insights. The company launched SAP Business Data Cloud Connect to securely link system...
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6 Tactics to Generate Real Business Value from AI
Organizations can achieve significant AI returns by aligning projects with clear business objectives rather than pursuing technology for its own sake, as demonstrated by Scotts Miracle-Gro's strategic approach. Successful AI implementation requires starting with manageable projects, fostering cro...
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Forrester's 2026 AI & Tech Leadership Forecast
By 2026, AI will reach practical maturity, focusing on dependable functionality and measurable business outcomes rather than hype, with technology leadership prioritizing high-performance strategies. Around 25% of enterprise AI budgets will be postponed until 2027 due to difficulties in proving f...
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Robots Are Turning E-Waste Into a Goldmine
The growing global e-waste problem is being addressed by using AI-powered robotics to automate the refurbishment and recycling of electronics, turning an environmental issue into an economic opportunity. A Danish research team has developed a robotic system that can replace broken laptop screens,...
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Unlock Growth with a High-Impact Web Governance Center of Excellence
The primary challenge in digital transformation is effective governance, which acts as an essential system to align teams and turn strategic plans into measurable results, rather than the initial strategy itself. A modern Center of Excellence (COE) enables innovation by establishing governance as...
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5 Ways to Feed Your AI Quality Data for Better Results
High-quality data is essential for successful AI outcomes, as poor data leads to poor results, making the right data assets critical as companies adopt AI technologies. Experts recommend focusing on key data that delivers the most impact, adopting deliberate data governance, and creating flexible...
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SAP Appoints AI Leader to Drive Innovation
SAP has appointed Lee Marshall as Head of AI for Australia and New Zealand to accelerate AI adoption, emphasizing its role in boosting productivity and competitiveness in challenging economic times. Marshall brings over 35 years of expertise in AI-driven transformation, focusing on deploying SAP'...
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AVEVA Enhances PI Data Infrastructure with Amazon RDS Integration
AVEVA is integrating its PI Data Infrastructure with Amazon RDS to streamline operational data management, reduce IT overhead, and accelerate cloud adoption for industrial organizations. This scalable, hybrid-ready solution enhances data lifecycle management, cuts analytical latency, and boosts p...
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From Pilot to Production: Composable & Sovereign AI
Most corporate AI initiatives fail to reach production, not due to the AI models themselves, but because of inadequate supporting infrastructure like data silos and rigid legacy systems. Enterprises are adopting composable AI architectures, using modular components for flexibility, to avoid vendo...
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8 Ways to Build Responsible AI Into Your Company Culture
Responsibility for ethical AI implementation is shifting to frontline technical teams, transforming it from compliance into a quality enhancement process. Organizations are adopting a three-tier defense model for responsible AI deployment, involving building teams, governance functions, and indep...
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8 Steps to Build Responsible AI in Your Teams
Responsible AI requires embedding ethics directly into development workflows, with over half of executives now placing governance responsibility with frontline IT and engineering teams. Organizations are adopting a three-tier defense model for scaling AI, but many struggle to translate ethical pr...
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Crafting Context-Aware Customer Experiences
Customers expect a unified experience across all brand interactions, and fragmented data across departments often breaks this trust by creating a disjointed service. The solution involves strategically connecting existing systems to break down data silos, not acquiring new software, to build a co...
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Teradata AI: Agentic Use Cases That Drive Business Impact
Teradata AI Services provides a structured pathway to scale AI projects from pilots to production by combining expert guidance, a proven methodology, and a robust knowledge platform. The service addresses the high failure rate of AI initiatives by tackling root causes like poor prioritisation and...
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Dataiku Launches AI Factory Accelerator for Faster Enterprise AI with NVIDIA
Dataiku's AI Factory Accelerator, developed with NVIDIA, helps businesses quickly scale AI projects from testing to full enterprise deployment by combining governance with accelerated computing infrastructure. The platform addresses common scaling challenges like complexity and compliance, using ...
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Vendor Agility Beats Analyst Rankings: Here's Why
Analyst reports provide valuable market intelligence but often overlook vendor agility, which is crucial for implementation success and responsiveness. Smaller, niche vendors tend to excel in dynamic evaluations like pilot programs due to their strong customer relationships and rapid problem-solv...
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