Enterprise Software: Page
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Industrial AI agents are not autonomous equipment
Industrial AI agents can help coordinate work across systems, but full autonomy still depends on data, verification, oversight and human judgment.
By James Alan Miller • July 6, 2026 -
Opinion // The Digital Experience
Customer service AI pricing just turned into the biggest shell game
For buyers, picking customer service tech might feel closer to playing a shell game than the traditional enterprise IT RFP process.
By Don Fluckinger • July 2, 2026 -
Connected workers are industrial AI’s proving ground
Agentic AI is making the value of connected worker platforms more visible. Industrial AI needs current frontline context before it can support execution.
By James Alan Miller • July 2, 2026 -
Better buyer-supplier relationships
10 best practices for managing strategic supplier partnerships
Managing strategic supplier partnerships is essential for good supply chain management. Learn which practices can help strengthen them.
By Alan Earls • July 2, 2026 -
Expert Advice
AI self-service benefits and best practices
Customer service is now the top area for AI adoption across the enterprise. Follow these best practices to implement AI-driven self-service in your organization.
By Beth Schultz • June 30, 2026 -
Genesys acquires Pinkfish to speed up contact center AI deployments
Genesys jump-starts its agentic toolkit.
By Don Fluckinger • June 30, 2026 -
Understanding persistent vs. nonpersistent VDI
Persistent and nonpersistent VDI differ in storage, personalization, security, app delivery and management. Learn how IT should choose the right model.
By Alyssa Provazza • June 29, 2026 -
Expert Advice // Conducting mobile audits
8 key aspects of a mobile device security audit program
A mobile device audit program helps IT assess endpoint inventory, access controls, encryption, MDM, UEM, BYOD risk, compliance and remediation across mobile endpoints.
By Michael Goad • June 29, 2026 -
How software contract structure can maximize long-term value
Lock in a low price today, and enterprise software leaders might be locked out of tomorrow. In a fast-moving tech market, contract flexibility beats the opening number.
By Pam Baker • June 29, 2026 -
Expert Advice // Conducting mobile audits
Why mobile security audits are important in the enterprise
Mobile devices bring their own set of challenges and risks to enterprise security. To handle mobile-specific threats, IT should conduct regular mobile security audits.
By Michael Goad • June 29, 2026 -
Expert Advice
Securing AI meeting assistants: What IT leaders need to know
More companies are deploying AI agents to make their meetings more efficient. But these tools can also expose companies to some significant security risks.
By Venus Kohli • June 29, 2026 -
Innovative reverse logistics app saves money while doing good
In this podcast, LiquiDonate CTO Aisya Aziz says her company's platform helps retailers and manufacturers donate returned goods to nonprofits, cut shipping costs and boost recycling.
By David Essex • June 29, 2026 -
Expert Advice // Conducting mobile audits
How to conduct a mobile app security audit
Mobile app security audits help IT identify weaknesses in code, APIs, authentication, data storage and third-party components throughout the app lifecycle.
By Will Kelly • June 26, 2026 -
Understand methods for virtual application delivery
Virtual app delivery technologies help centralize management and provide consistent UX across distributed workforces. But how do organizations know which delivery methods to use?
By Damon Garn • June 26, 2026 -
6 ownership gaps that make software governance harder
Software governance breaks down when ownership is split across platforms, budgets, rules, data, access and vendor-led changes. These gaps need names.
By James Alan Miller • June 26, 2026 -
Partial automation is the real promise of AI agents
The near-term value of AI agents is partial automation. Buyers should ask what is automated now, what systems agents touch and who owns the workflow.
By James Alan Miller • June 26, 2026 -
How agentic AI can transform ERP for your business
Experts say agents could soon automate various ERP workflows, but the risk of error is significant, and the necessary data infrastructure and business context aren't yet in place.
By George Lawton • June 26, 2026 -
5 integration checks to make before software rollouts harden
Software rollouts can lock in before teams know how data, handoffs, automation and context will work. These checks help expose the gaps earlier.
By James Alan Miller • June 25, 2026 -
CVS Health tackles tactical agentic AI rollouts for healthcare
With Salesforce Agentforce Health, CVS Health plans to stitch together provider, insurance and pharmacy data to make processes more efficient for customers.
By Don Fluckinger • June 25, 2026 -
AI demos are not enterprise deployment plans
Agentic AI can work, but demos and pilots do not prove production readiness. Buyers need evidence that workflows, data and governance can scale.
By James Alan Miller • June 25, 2026 -
CIOs must rethink governance for AI collaboration tools
AI is transforming collaboration platforms into knowledge repositories, creating new governance challenges around data retention, access and compliance.
By Moshe Beauford • June 25, 2026 -
Opinion
Who do you trust? HR’s conflicted role in the AI disruption
The SHRM conference highlighted HR's balancing act: calming AI job-loss fears and upskilling workers while carrying out CEO plans to cut labor costs and boost the bottom line.
By David Essex • June 25, 2026 -
Cartelligent uses AI to connect buyers with sales experts
A car broker service deployed RingCentral AI to analyze incoming caller intent and route buyers to the appropriate team member, which reduces missed sales opportunities.
By Moshe Beauford • June 25, 2026 -
Salesforce productizes its own customer service AI agent for users
Salesforce also becomes the latest CX tech vendor to try its hand at outcomes-based pricing.
By Don Fluckinger • June 25, 2026 -
How to decide which AI features are worth turning on
Enterprise leaders must strategically evaluate embedded AI features based on operational impact, risk and cost using clear governance frameworks and accountability measures.
By Pam Baker • June 24, 2026