Topic: ai readiness
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7 Steps to Achieve True AI Readiness in Your CRM
Preparing your CRM for AI requires rethinking workflows to identify and address inefficiencies, focusing on strategic alignment rather than just automation. Define core outcomes and capture stakeholder perspectives to understand real workflows, using methods like voice notes to highlight gaps and...
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From Data Chaos to AI Success: A Practical Framework
The effectiveness of AI in marketing is entirely dependent on high-quality data, as poor data leads to underperformance and lost revenue opportunities. Marketing leaders must treat data quality as a shared, cross-functional responsibility, not just an IT issue, to ensure AI credibility and succes...
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AI's Success Hinges on Trusted, Well-Governed Data
Many businesses are struggling to implement AI effectively due to a lack of trusted, well-governed data, which is essential for reliable and secure outcomes. A significant challenge is the complexity and security risks associated with unstructured data, with many organizations citing budget const...
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Marketers vs. Consumers: The AI Perception Gap
A major perception gap exists between marketers (86% positive) and consumers (35% positive) regarding AI's role in improving customer experience, threatening consumer trust. Marketers overestimate consumer reliance on AI for important decisions (49% believe vs. 30% actual confidence), highlightin...
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Apply Now: Region's First Chief AI Officer Executive Program
Applications are open for the region's first Chief AI Officer Executive Program, designed to prepare senior leaders for AI adoption and transformation. The program, launched at the Machines Can See 2025 summit, addresses growing regional demand, with 69% of Middle Eastern organizations planning t...
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Master AI Search: Your Enterprise Visibility Blueprint
The rise of generative AI is fundamentally changing search, shifting from keyword-based results to AI-synthesized answers, which requires brands to become authoritative sources that AI systems reference. To be discovered by AI, content must be technically sound, genuinely helpful, and optimized t...
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Factory Model: Fast-Track Your VMware Migration
Organizations face slow, complex VMware workload migrations, pressured by the need for AI-ready infrastructure and unpredictable costs, with most firms acknowledging their IT and cloud setups require significant updates. A systematic "factory model" is replacing one-off approaches, using standard...
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Riverbed Launches Data Express for AI Data Transfer
Riverbed has launched its Data Express Service, a cloud-based solution that accelerates the transfer of massive datasets by up to ten times, significantly reducing project timelines and costs for AI model training. The service is built on Oracle Cloud Infrastructure and incorporates post-quantum ...
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AI Search Impact: A Local Agency's Guide
AI-powered search engines now generate instant summaries instead of traditional link lists, requiring businesses to maintain accurate and optimized online listings to avoid digital invisibility. Consumer behavior has shifted, with only 8% clicking through to websites, meaning most decisions are m...
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Unlock AI Success: The Hidden Power of Shadow AI
The vast majority of corporate AI initiatives fail to deliver meaningful business gains, with studies showing up to 95% of generative AI pilots not producing revenue growth. AI projects often fail due to poor integration into real workflows and a lack of operational maturity, rather than technolo...
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