Topic: data readiness
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Salesforce struggles highlight marketing’s agentic AI challenges
Only 34% of Salesforce customers have adopted Agentforce, and the company has lost over $200 billion in market value, with analysts citing data readiness and product maturity as key obstacles. KeyBanc Capital Markets downgraded Salesforce due to slow adoption, noting that most deployments are lim...
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Building AI-Ready Data Infrastructure: The Key Challenges
AI readiness is primarily an organizational discipline challenge, not just a technical data problem, as it forces companies to confront issues of priorities, ownership, budgets, and trust that are neither purely technical nor new. AI raises the cost of ignoring existing data problems like poor go...
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Agriculture Has an AI Readiness Problem
Agricultural AI's success depends on data readiness, requiring precise geospatial data like GPS coordinates, farm boundaries, and soil variation rather than simple customer profiles. The stakes are uniquely high in agriculture because flawed AI recommendations on chemical use can have severe cons...
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Future-Proof Your Brand's Digital Experience
Brands must evolve digital platforms into intelligent systems that understand user intent and act autonomously, requiring a fundamental rethinking built on resilient architecture, security, and governance. A successful transformation relies on five pillars: agentic architecture with security as a...
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7 Data Skills to Master for the AI Era
The rapid emergence of new AI-focused data roles highlights a major hiring surge, yet most executives struggle to fill these positions and lack confidence in their data's readiness for AI. A primary barrier to AI success is poor data quality and accessibility, but despite this, companies are trip...
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Unlock AI Marketing Success with Data Readiness
The success of AI marketing hinges on prioritizing data quality and readiness over data volume, as unreliable or poorly organized information undermines even the most advanced tools. Effective data management requires intentional governance, radical transparency, human stewardship, and education ...
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5 Martech Truths You Can't Ignore & How to Act
Many companies struggle to define their ideal customer profile, prioritizing activation systems over genuine customer understanding and needing comprehensive analytics for actionable insights. Organizations rarely calculate ROI for marketing technology, facing accountability gaps due to cultural ...
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AI Won't Take Your Job If You Have These Skills
AI is reshaping the workforce, but acquiring the right skills can protect careers, with some roles thriving due to growing demand in areas like data science and machine learning. While most organizations saw minimal staffing changes from AI so far, about a third anticipate downsizing in the comin...
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Unlock AI's Potential by Fixing Data Access
Marketers face a major barrier in disconnected data systems, which prevents effective AI deployment despite their enthusiasm for its potential. A significant gap exists between ambition and execution, with 95% of marketers struggling to target audiences and three-quarters of tech issues stemming ...
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Insight Named a Gartner 2025 AI Consulting Leader
Insight Enterprises has been recognized as an Emerging Leader in Gartner's 2025 Innovation Guide for its comprehensive generative AI consulting and implementation services, emphasizing secure and ethical enterprise solutions. The company's approach integrates strategic advisory, infrastructure su...
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Highmark & Google Cloud: 6 AI Lessons for Faster Claims & Better Care
Highmark Health's collaboration with Google Cloud demonstrates how enterprises can integrate AI at scale while maintaining compliance, efficiency, and user trust, emphasizing platform engineering over treating AI as just another tool. Highmark successfully modernized legacy systems using Google C...
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