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The Intelligent Workplace: AI Operated Enterprise Work in 2026

Admin — Fri, 01 May 2026 15:45:39 GMT

The modern workplace is becoming more fragmented and more complex. Sprawling technology estates, changing vendor landscapes, rising user expectations, and increasing risks and costs all play a role. Add the disruption and uncertainty that AI has brought, and it’s easy to see why digital workplace technology is at a tipping point.

FinOps: The Role of Gen AI in Cloud Financial Management

Admin — Fri, 01 May 2026 14:03:29 GMT

According to IDC research, as many as 6 in 10 organizations admit to spending more on cloud than initially budgeted, with up to 30% of cloud spend categorized as "waste." This highlights the growing importance of FinOps (financial operations) and why organizations are increasingly turning to the power of generative AI to transform their cloud financial management practices.

Beyond the Hype: 5 AI Truths That Will Define 2026

Admin — Fri, 01 May 2026 12:35:38 GMT

Everybody talks about AI like it’s about to flip the world upside down. You hear wild predictions everywhere, machines taking over, jobs vanishing, some sort of sci-fi future right around the corner. But if you stop and look at what’s actually changing inside companies, the real story is much quieter and a lot more practical. The biggest AI shifts coming in 2026 aren’t about robots running amok. They’re about how companies work, what risks they face, and who ends up winning or losing.

What Is a Context Graph? Fixing the Enterprise Knowledge Gap

Khushboo Goyal — Thu, 23 Apr 2026 13:46:54 GMT

There is no viable AI strategy without a knowledge strategy, yet most enterprises are racing to deploy AI while their knowledge remains fragmented across siloed systems, undocumented processes, and tribal wisdom that never makes it into any database.

Coforge Meridian – The Truth Layer for Trustworthy Enterprise AI

Deepak Bagchi — Mon, 20 Apr 2026 05:31:12 GMT

Modern AI systems generate insights, summaries, classifications, and recommendations faster than any human team can manually verify, but most enterprises still validate AI the same way they validate software. Checking formats, schemas, and historical accuracy metrics may work for software, but it breaks down the moment AI outputs begin influencing real business outcomes.

Re-engineering Legacy Systems for an AI-First Future with Appian

Admin — Tue, 14 Apr 2026 09:58:50 GMT

Legacy systems are the invisible engines of enterprise operations, powering banking transactions, insurance underwriting, airline reservations, and healthcare workflows. Yet, the same systems are increasingly becoming barriers to innovation.

From Imagination to Immersion: How VR and AR Are Transforming Destination Marketing

Vishali Hangloo — Wed, 01 Apr 2026 12:31:38 GMT

By 2027, more than 30% of travel purchasing decisions will be influenced by immersive digital experiences, including virtual previews and interactive destination content – Gartner.

The global travel and tourism sector is projected to contribute over $15 trillion to the global economy by 2033 – WTTC.

As digital engagement reshapes how travelers discover and evaluate destinations, technologies such as Virtual Reality (VR) and Augmented Reality (AR) are emerging as powerful tools in destination marketing. Travelers no longer rely solely on photographs or promotional videos to imagine destinations; immersive technologies now allow them to walk through hotel suites, explore city streets, or experience cultural landmarks in 360° environments before booking a trip.

Reimagining Healthcare Operations with Agentic AI

Ravinder Kumar — Mon, 30 Mar 2026 08:31:08 GMT

According to McKinsey & Company, the global healthcare system could face a shortage of 10 million healthcare workers by 2030. As workforce gaps widen, operational teams across hospitals, payers, and life sciences organizations are under increasing pressure to manage scheduling, claims processing, compliance reporting, and patient coordination with limited resources.

The Cognitive Gateway: Scaling Intelligent Automation for Unstructured HCLS Data

Dipak Gouda — Fri, 27 Mar 2026 08:50:11 GMT

The global healthcare data volume is expected to grow at a 36% CAGR, reaching more than 10,000 exabytes by 2025 – World Economic Forum.

Nearly 80% of healthcare data is unstructured, residing in physician notes, clinical reports, medical imaging records, and administrative documents – IDC.

As healthcare organizations generate unprecedented volumes of digital information, the challenge is no longer data availability but the ability to interpret and operationalize this data. While automation technologies have streamlined structured workflows, a large portion of high-value healthcare information remains locked within unstructured documents.

How AI is Testing the Limits of Content Authoring and Personalization

Sandeep Uppal — Thu, 26 Mar 2026 09:00:30 GMT

For over a decade, enterprises believed content scale was a solvable operational problem. Invest in a CMS. Add a DAM. Build a CDP. Hire more writers, reviewers, and localization teams. Scale would follow.