Xenoss

Xenoss is a specialized AI and data engineering company recognized among the top 100 software companies on the Inc. 5000 list.

[Xenoss @Xenoss]

Data integration is one the most persistent challenges in enterprise IT.

95% of leaders struggle to integrate data across systems, and only 29% of applications are connected within organizations.

Learn how data integration platforms solve this problem: https://t.co/BNHKd3HS8W

[Xenoss @Xenoss]

Agent deployment in Q4 2025 dropped to 26% from 42% in Q3.

The reason is that businesses have more realistic expectations of agentic AI and are thoroughly preparing for agent implementation

Explore how the enterprise agent market is evolving: https://t.co/UyPLrgic1y

[Xenoss @Xenoss]

Warehouse automation is surging. McKinsey reports that it’s growing at a 10% CAGR,

It is also a priority for executives. Up to 70% of warehouse operations leaders plan to invest $100+ million in automation.

Discover the technologies driving ROI here: https://t.co/dU909aa5GQ

[Xenoss @Xenoss]

The orchestration market is expected to surge to $35 billion by 2030.

In April 2025, Google joined the market by releasing Agent2Agent (A2A), an open-source protocol for collaboration between agents.

Learn how A2A is transforming enterprise AI: https://t.co/KWCEqRhwwJ

[Xenoss @Xenoss]

The value difference between enterprise and consumer AI is staggering,

Consumer AI has generated $12.1 billion to date, whereas enterprise AI has surged from $1.7 billion in 2023 to $37 billion in 2025.

Learn how to make the most out of enterprise AI: https://t.co/PfpMfyqLfb

[Xenoss @Xenoss]

Banking leaders are increasing spending on detection tools and KYC algorithms by 10% annually, yet these methods aren’t keeping pace with fraud.

Learn how fraudsters use AI to develop schemes and technologies engineering teams can deploy in response: https://t.co/UyqgE2WlPk

[Xenoss @Xenoss]

99% of companies treat investments in data and AI as a top priority, and 92.7% say interest in AI has led to a focus on data.

But knowing data matters doesn’t tell you where to start.

Examine data engineering services from a business standpoint: https://t.co/lWp99Hi7HO

[Xenoss @Xenoss]

If 2025 taught us anything, it’s that nothing about AI is set in stone. AI labs shuffled staff, released models, and made trillions of dollars of investments:

In this post, we are taking a closer look at what that future might look like: https://t.co/Qi6aoA2Ivk

[Xenoss @Xenoss]

Gartner researchers claim that the next digital revolution belongs to agentic AI.

At the same time, generative AI is still a more mature form of AI in production.

This guide breaks down the difference between GenAI and AI agents: https://t.co/zVB3OeFC7e

[Xenoss @Xenoss]

PwC estimates 2026 will be the year businesses embark on a “disciplined march to value” in AI adoption. Companies recognize that effective AI integration requires consistent effort.

Learn more about 10 use cases that unlock the value of AI and drive ROI: https://t.co/7CwutD11Vw

[Xenoss @Xenoss]

In regulated industries, organizations process up to 250 million documents.

Documentation gaps become compliance risks that surface as audit findings.

Learn how document intelligence flags problems before they propagate into core systems: https://t.co/cMGmwBTbU4

[Xenoss @Xenoss]

By 2030, the share of tasks performed by technology and people will be equal.

That’s the aim of hyperautomation, which combines automation tools and AI systems into a unified operational engine.

Learn what it means and how to pick high-yield use cases: https://t.co/DBr5cDoOyy

[Xenoss @Xenoss]

Two dominant CTV revenue paths in 2025 are SVOD and AVOD.

Each offers opportunities but comes with operational challenges and infrastructure requirements.

In this article, we’ll examine how publishers can blend SVOD, AVOD, and hybrid monetization: https://t.co/ZAPQVaqITH

[Xenoss @Xenoss]

In 2022, the Canadian telecommunications company Rogers experienced an outage affecting 12 million users.

This incident highlights that modernization is not dangerous when tech is outdated.

In our guide, learn how you can avoid modernization pitfalls: https://t.co/TWCM52GK3Z

[Xenoss @Xenoss]

More than 90% of enterprises now use some form of data warehousing, mostly on cloud-based deployments.

However, choosing the “right” data platform is complex. This guide compares Snowflake, BigQuery, and Databricks on the dimensions that matter at scale: https://t.co/2majnuleEe

[Xenoss @Xenoss]

Touching COBOL-based applications is risky for CIOs.

Your revenue, business services, and reputation hinge on these solutions. But the inability to maintain COBOL applications can stifle innovation.

Learn how to handle COBOL modernization in our blog: https://t.co/4OzjDTZ3hm

[Xenoss @Xenoss]

Annually, downtime costs Global 2000 companies almost $400 billion. 56% of incidents are due to cybersecurity attacks, and 44% are due to application issues.

In this guide, we outline how enterprises can rebuild and modernize critical systems: https://t.co/MTWLpZISPH

[Xenoss @Xenoss]

Data is the backbone of enterprise infrastructure. And the number of data tools is only increasing every year across many organizations.

This guide walks through the core components of a modern data pipeline: https://t.co/Tkmi5ZvhE3

[Xenoss @Xenoss]

Digital out-of-home (DOOH) advertising is one of the fastest-growing traditional media channels. By 2029, DOOH spending in the US is set to reach $18.6 billion.

In this post, we unpack why now is the right time to develop programmatic DOOH products: https://t.co/Lo3ZNOIsFZ

[Xenoss @Xenoss]

In regulated industries, teams process up to 250 million documents per year. Documentation gaps in these workflows become compliance risks.

So investments shift from throughput automation to compliant processing.

Our article breaks down how this works: https://t.co/cMGmwBTbU4