
4 ways data management influences AI outcomes
Agentic AI deployment is only as effective as the foundational state of the enterprise data infrastructure underpinning it. Leaders must master the fundamentals, from data context to siloed sources.
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Agentic AI deployment is only as effective as the foundational state of the enterprise data infrastructure underpinning it. Leaders must master the fundamentals, from data context to siloed sources.

Organizations need new ways to determine whether AI tools improve team performance and leadership effectiveness or merely accelerate administrative work.

As more enterprises incorporate agentic AI into collaborative task flows, the question persists: Who owns the decisions and outputs generated via AI?

Contact centers and IT departments have been at the forefront of agentic AI-powered workflows, and now agentic AI use is being scaled to other business operations in the organization.

Growth in subscriptions, customer appreciation for multichannel solutions and fear of missing out on AI all powered profits.

The integration addresses a pivotal pain point for customers — having to repeat themselves on a call — by conveying more context between AI and human agents.

A new study from MIT and Google Cloud confirms that solid AI execution starts with a reliable data foundation and up-to-date data management practices.

AI is shifting the managerial task list from chasing updates to judging outcomes, raising the value of business context, trust and human intervention.

Metrigy’s research found that consumer preferences hinge on a variety of factors, so there is no one-size-fits-all deployment strategy.

Unsanctioned AI usage is a risk for every enterprise; counter it with solid sanctioned-use policies and better AI tools for doing the work.

Messaging, voice, software add-ons and AI boosted revenue, but Twilio warned of headwinds in the second half of the year.

Organizations must rethink not just what they document, but how they structure, maintain and present that knowledge so automated systems can reliably use it.

AI revenue in Q2 jumped as backlog customers chose to deploy sooner. The company says voice AI drove one customer's migration from on-prem to cloud.

The agent, now on AWS Marketplace, provides conversational analytics by adapting to enterprise models.

Revenue from NiCE’s CX AI and Self-Service offerings grew 52%, and the company boasted a strong backlog of AI deals.

The expanded partnership focuses on modernizing analytics, proving governance for AI deployment and making business intelligence operational.

The company's continued shift away from seat-based pricing models means "lower gross margin" services now, with a bet on larger long-term scaling potential.

AI consumption billing has broken the assumptions traditional tech budgets were built on. Here is why the 2027 budget cycle will be especially difficult.

While agentic AI can save workers time and provide data insights, workers' AI literacy is still low — as is their trust in AI.

Enterprises are finding ways to evaluate how their human workforce is exercising judgment and decision-making in workplaces with integrated AI.

Forrester forecasts 350K fewer jobs for customer service agents by 2031. But that doesn’t spell the end of human-in-the-loop CX.

Jeff Clarke will become Avaya’s third CEO in four years, as Patrick Dennis transitions to executive chair.

UC and security leaders must prepare for external AI agents by combining verifiable identity, ephemeral access and automated cross-company governance.

Companies can create multiple workspaces with access controls for users and AI agents, allowing different data governance depending on the instance.

Paid Copilot now has 30 million seats, Microsoft said, doubling its adoption as a percent of paid M365 Commercial seats from January.

Zoom CX compliant customers will soon have call campaign management through a cloud-native platform.

The strongest productivity ratings were associated with more technical or task-specific applications, such as coding or creating presentations, Gallup said.

Services, including hybrid cloud, made up a large amount of IBM’s revenue growth as the tech vendor bet on helping clients modernize legacy systems.

Most companies use AI in their daily workflows, but fewer than one in five can quantify its benefits. The key is figuring out what AI can actually do.

A new layer of “agent identity” is emerging to track ownership, enforce permissions and provide auditability as AI becomes an operational participant.

AI Receptionist's customer base quadrupled year over year, and the company kept NiCE as a partner for RingEX.

Nefarious actors are harvesting encrypted data to decrypt it once quantum computing gives them the ability to do so. Identify data risks to reduce them.

Products remain the price of admission, but as markets mature customers distinguish companies by how consistently they deliver on their products' promises.

AI-generated survey panels provide faster, cheaper insight, but can be overly positive and behind on the latest data.

Although employees use AI daily, most think human oversight is necessary and output requires human verification.

ServiceNow also touted wins in CRM and customer service amid what IDC’s Elliott suggests is a market increasingly focused on seeing the returns from AI.

UCaaS and CCaaS platforms release hundreds of new features every year. User adoption hasn't kept pace and the capability vs. adoption gap is widening.

OpenAI launched a platform targeted at helping enterprises deploy, control and maintain AI agents across company workflows.

Organizations that prioritize control and integration are comparatively more successful in AI agent rollouts, Forrester-Boomi research finds.

If an organization doesn’t have a fast, secure way to pull the plug and switch AI platforms, it's opening itself up to operational and financial vulnerabilities.

A lack of auditability, data leakage and high error rates all contributed to organizations shutting down their AI agents.

To get the same performance that human agents produce, AI agents require care and coaching over time.

How companies resolve the AI orchestration ownership question will determine whether AI becomes a unified capability or another source of fragmentation.

As organizations implement synthetic data, experts warn that governance, privacy and quality still need to be maintained.

Data fluency is crucial to business operations, but organizations report low proficiency.

AI systems are increasingly used to make quick, customer-facing decisions. That speed could be coming at the hidden cost of lost context.

The revamped collaboration app includes a native AI assistant that can create and modify content and access external systems via MCP.

With Creatio 10x, the AI CRM provider built in AI agent creation and governance capabilities, while revamping core offering with AI tools.

Data infrastructure isn’t keeping up with AI adoption on multiple levels — from infrastructure optimization and data readiness to governance.

Zoom made its AI-powered receptionist available to users of any business phone system, greatly expanding its addressable market.