AI assurance is becoming the next enterprise hiring priority
The next wave of AI hiring will be shaped less by experimentation and more by scrutiny.
Boards want clearer cost...
The future of work isn't about fewer people. It's about different skills, different teams and different ways of working
For years, conversations about the future of work have been dominated by a single question: will artificial...
AI talent strategy is moving beyond job titles
Enterprise AI hiring is becoming less about chasing the newest title and more about identifying the combinations of...
Enterprise GenAI is becoming a platform problem, and hiring needs to reflect it
Enterprise Generative AI is moving into a more serious phase.
The early wave of proofs-of-concept helped...
AI is redrawing enterprise org charts. Here’s where hiring leaders should look first
Enterprise AI is no longer sitting neatly inside innovation teams.
As organizations scale Generative AI across...
The end of AI hiring chaos: how enterprise teams are standardizing roles, cost control and governance in 2026
Enterprise AI hiring is entering a more disciplined phase.
Over the past two years, organizations raced to explore...
What does it cost to hire an AI engineer in 2026, and why it’s rising faster than most hiring plans?
Hiring an AI engineer in 2026 is no longer a straightforward budgeting exercise. It is a strategic decision that...
Have you outgrown your Dynamics 365 support model?
In this blog, Ian Wellman, Director of Cloud Services at Tenth Revolution Group, explores why more organizations...
What candidates are prioritizing in 2026
The cloud, data and AI talent market is changing quickly. Not just in terms of demand, but in how roles are...
2026 Digital Revolution Awards shortlist: the teams shaping the future of tech
The Digital Revolution Awards (DRA) celebrate the organizations, teams and individuals using technology to drive...
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Don’t Wait for a Data Crisis: The Talent Argument for the Project Online Decommission
The clock is officially ticking. Microsoft’s shutdown of Project Online by September 2026 isn't just another...
Hiring for AI in 2026: why skills matter more than job titles
Enterprise technology hiring is entering a more complex and more competitive phase. Generative AI is reshaping role...
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Generative AI hiring in 2026: what hiring managers need to prioritize now
Generative AI hiring has shifted dramatically over the past 12 months. What began as experimentation is now moving...
New AI regulations are driving new demand for AI governance hiring
As you will have seen if you follow our blog, artificial intelligence adoption is accelerating across every...
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Partner selection in 2026: Why ERP transformations need a new strategic layer
ERP transformations are becoming harder to deliver, not because organizations lack ambition or technology, but...
Enterprise GenAI productization is redefining how Cloud, Data and AI teams are built
Enterprise Generative AI is no longer being tested, its being being productized.
That distinction matters -...
It’s here: Our new Careers and Hiring Guide: Cloud, Development and Security
The Cloud, Development and Security landscape is evolving at record speed. Roles are shifting, skills are...
Tenth Revolution Group becomes a ServiceNow University Authorized Training Partner
Tenth Revolution Group1 is proud to announce that we are now a ServiceNow University Authorized Training Partner. This...
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How to find the right ERP partner in 2026
With AI-generated proposals and a crowded market, traditional partner selection methods are falling short. In this...
Introducing Tenth Connect - Your Strategic Partner Throughout the ERP Lifecycle
ERP (Enterprise Resource Planning) transformations don't succeed in isolation. From initial planning through...
How GenAI, FinOps and unified data platforms are reshaping enterprise hiring
After years of experimentation across Generative AI, cloud and data platforms, organizations are building clearer...
How GenAI, FinOps and unified data platforms are reshaping enterprise hiring
Enterprise technology hiring is entering a more disciplined phase. After years of experimentation across GenAI, cloud...
From pilots to products: how GenAI is reshaping enterprise hiring priorities
GenAI has moved past its early experimentation phase. For many enterprises, the question is no longer whether AI...
The talent ripple effect of Fabric, Databricks and Snowflake
As data platforms converge, hiring patterns are shifting in ways that go far beyond tooling choices.
Many...
How GenAI commercialization is redrawing AI org charts
As GenAI starts to power real products and revenue, companies are having to rethink how their AI teams are set up.
Why GenAI production breaks without platform and governance hires
Many GenAI initiatives fail not because the models are weak, but because the teams supporting them are incomplete.
Is your cloud team built for cost accountability?
Cloud costs don’t spiral because teams lack tools; they spiral because ownership is unclear.
As cloud, data, and...
5 hiring signals replacing traditional tech credentials
Hiring for cloud, data, and AI roles now depends less on static credentials and more on signals that show how...
How to hire for GenAI when certifications keep changing
GenAI is evolving fast, and hiring teams are struggling to keep pace with shifting tools, new certifications, and...
Why AI governance can’t be left to engineering alone
AI systems touch every part of a business, which means governance, compliance, and oversight can’t sit with...
5 FinOps skills your cloud and data teams now need most
Cloud spending is harder to predict than ever, and teams now need stronger cost-awareness skills to keep AI and...
What tighter regulations mean for the teams that build and run AI
AI systems are facing more rules, more reviews, and more questions from leaders who want clearer control over how...
How cost-to-value pressure is rewriting cloud and data hiring priorities
Cloud and AI spending is rising, and leaders want clearer value from every dollar, which is reshaping who they...
Why enterprise AI needs builders, testers, and enablers working together
Enterprise AI is growing fast, and teams now need more than model builders to make it work at scale.
Across...
Boards want oversight, and hiring is shifting with it
AI and data oversight is now a board-level concern, and hiring trends in Cloud, Data, and AI are changing because...
The shift to platform-first teams in a tighter Cloud economy
Cloud spending is under closer scrutiny, and leaders are rethinking how their teams are structured so they can get...
How teams hire when the best candidates are not looking
The strongest Cloud, Data, and AI professionals are often not active job seekers, which means hiring teams have to...
What AI workloads are doing to Cloud hiring priorities
AI is pushing Cloud teams in a new direction, and leaders are adjusting their hiring plans to keep up.
As more...
The next chapter for data teams in a consolidated stack
Data teams are changing fast, and the shift toward consolidated platforms is reshaping the skills leaders need to...
Why scaled AI needs product thinkers, not just model builders
Enterprises are moving past one-off AI experiments and shifting toward systems that need structure, ownership, and...
When silos disappear: Building data teams for the connected enterprise
Data has become the foundation of enterprise intelligence, but its value depends on how well it is connected.
As...
Are Cloud costs finally under control, or just harder to predict?
Enterprises have learned how to manage Cloud spend, but the next challenge is understanding how to measure its...
Beyond the prototype: How AI maturity is creating new roles and responsibilities
Artificial intelligence has outgrown the experimental stage, and enterprises are now focused on scaling it...
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The UK Digital Revolution Awards in numbers (and why 2026 will be the best yet)
Since 2020, the Digital Revolution Awards have highlighted the real progress being made across the tech ecosystem.
Cloud costs are under control, now leaders want measurable return
Cloud budgets are finally stabilizing, but executives are asking a new question: How do we prove Cloud value, not...
What governance-first hiring tells us about the future of AI
AI adoption has entered a new phase where compliance and accountability are just as critical as innovation.
...
Inside the enterprise AI pivot: Building platform-scale talent pipelines
Enterprise leaders are asking a new question: How do we turn generative AI from experimentation into scalable...
Behind the numbers: What rising pay and hiring say about AI security priorities
The race to secure artificial intelligence is transforming the hiring landscape.
As AI systems become embedded...
What today’s Cloud and Data pros really want (and it’s not just salary)
The balance of power in tech hiring continues to shift.
Even as budgets tighten and automation expands, top Cloud...
Credentials aren’t dead, just different: Skills-first hiring in Cloud and AI
For years, the hiring market in Cloud and AI has rewarded experience above all else.
But in today’s rapidly...
RAG-ready organizations: Why scaling AI depends on hiring the right people
Generative AI has entered a new phase, and Retrieval-Augmented Generation (RAG) is leading the way.
Enterprises...
Open data, open roles: The skills driving value from connected platforms
Data platforms are evolving, and with them, the skills that define enterprise success.
The convergence of...
The new cloud equation: How enterprises are balancing AI costs and GPU strategy
Enterprises are learning that AI ambition must now be matched by financial and operational discipline.
As...
How FinOps and Platform Engineering Are Shaping the Next Era of AI Efficiency
As cloud and AI costs continue to climb, enterprises are bringing FinOps and platform engineering closer together...
Why AI Governance and Compliance Are Now Non-Negotiable for Enterprises
As AI becomes central to business operations, governance and compliance have moved from theoretical concerns to...
From PoC to Production: Building Reliable Enterprise GenAI Systems
Enterprises are moving fast to operationalize Generative AI, but turning an experimental proof of concept into a...
The governance gap: Why AI leaders need policy fluency as much as tech skill
AI leadership now requires fluency in both architecture and policy.
Regulatory expectations are increasing...
The true cost of intelligence: Why FinOps is the key to sustainable AI
The hardest part of enterprise AI is making it financially sustainable.
Training, fine-tuning, and running...
Enterprise AI in 2025: Building reliability and governance with LLMOps and RAG
Generative AI has left the lab and entered everyday operations.
The most forward-thinking enterprises now treat AI...
The compliance checklists aren’t enough: What responsible AI actually requires
AI is moving faster than most governance frameworks can keep up.As adoption grows, so do the risks, both ethical,...
AI-ready data foundations: Why open table formats are shaping strategy
AI has transformed how enterprises think about their data platforms.
The goal is no longer limited to analytics...
Building the right AI team: How to turn GenAI strategy into measurable impact
Generative AI is no longer a lab experiment.
The technology, which can create new content such as text, images,...
Data sovereignty in practice: What global businesses miss
Data sovereignty has become one of the most pressing challenges for enterprises adopting AI and cloud.
Yet many...
The end of data lock-in: Why open formats are winning in 2025
For years, data teams have been tied to proprietary formats that made it hard to integrate systems, switch...
Can your business trust GenAI agents to run real workflows?
Generative AI has already proven its worth for experiments and pilots, but a new question is emerging: can...
Controlling cost and risk in AI-ready cloud delivery
The shift to AI workloads is rewriting the rules of cloud infrastructure.
Training large models and running...
Real-time lakehouse platforms: The end of data silos
Enterprises have always struggled with fragmented data.
Warehouses were good at structured analytics but struggled...
Can your business trust GenAI in production?
Generative AI has already proven it can spark creativity, automate tasks, and accelerate decision-making.
But...
ERP selection in 2025/26: A finance leader’s guide
Enterprise Resource Planning (ERP) is one of the most important investments a mid-market company can make.
For...
CRM in 2025: How lean, low-code platforms and AI are changing the game
Customer Relationship Management is going through one of the biggest shifts in decades, and the rules that guided...
Why every business leader needs a fractional Chief AI Officer
AI isn’t an IT project anymore. It’s a business capability that touches every function.
Sales leaders are...
What it really takes to operationalize GenAI in your business
Generative AI is no longer just about experiments and proofs of concept; it’s about scaling responsibly.
Yet many...
The new data standard: Lakehouse, streaming, and zero-ETL
For years, businesses have wrestled with fragmented data systems that couldn’t keep pace with their needs.
Data...
The hidden costs of AI: How to manage GPUs and inference spend
Artificial intelligence might be the most exciting technology investment on your roadmap, but its costs can...
Why data governance and real-time products matter for AI
As AI and agents move from pilot projects into production, executives are raising new questions.
Models are no...
Building AI-ready infrastructure with FinOps discipline
The race to adopt generative AI has placed enormous strain on enterprise infrastructure.
Training and inference...
How AI platform engineering and LLMOps are standardizing GenAI
For much of the past two years, enterprise adoption of generative AI has been marked by excitement, but also...
Data engineering for the GenAI era: Building RAG-ready pipelines
Data engineering has always been central to analytics and reporting, but in the age of generative AI its role is...
The rise of LLMOps: Scaling generative AI with new talent
Generative AI has moved past experimentation, but scaling it across an enterprise is a different challenge...
Practical assessments in AI hiring: Why puzzles are out and projects are in
For years, technical interviews in the data and AI space relied on algorithm puzzles and whiteboard drills.
...
Scaling AI with FinOps: Smarter infrastructure for enterprises
As organizations race to embed artificial intelligence into their operations, many are finding that the biggest...
AI governance: Why compliance is now the license to operate
Artificial intelligence is moving from experimentation to enterprise adoption, but regulation is catching up fast.
From pilots to production: GenAI’s 2025 turning point
For much of the last two years, generative AI has lived in the pilot phase.
Teams tested customer-facing...
Where Generative AI Delivers Real Business Value in 2025
The generative AI conversation has shifted.
Last year’s question—”What can this technology do?”—has been...
FinOps, Governance & Data Sovereignty: Scaling AI Safely
The race to adopt generative AI and scale cloud infrastructure is hitting an unexpected bottleneck.
While...
Data Governance & Compliance Automation: What You Need to Know
Data governance has outgrown its reputation as a back-office function. With regulations tightening and AI...
Shape the Future of AI Hiring in Just 3 Minutes - Tenth Revolution Group
Join 1,000+ tech leaders already sharing their insights on how AI is transforming...
It’s Here! Introducing The TRG Data & AI Salary Guide - Tenth Revolution Group
The data and AI landscape is evolving at breakneck speed and staying competitive means staying informed—whether...
Have Your Say: Take part in our Tech Careers and Hiring Guide survey! - Tenth Revolution Group
The tech industry is evolving fast, and we want to hear from the people driving that change.
We’re officially...
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