Cloud Wars Live with Bob Evans

In this special episode of Cloud Wars Live from Workday Rising 2026, Bob Evans speaks with Rupesh Ahluwalia, Vice President of HR Information Systems at Concentrix, about how artificial intelligence and enterprise technology are transforming human resources. With more than 430,000 employees across over 80 countries, Concentrix is reimagining how HR supports its global workforce while expanding its technology-driven business. Ahluwalia discusses the company's decade-long relationship with Workday, the growing importance of workforce adaptability, and why meaningful AI transformation must go beyond automation to deliver more intuitive, people-centered employee experiences.
Workday Powers HR Transformation
The Big Themes
HR Becomes a Strategic Driver: At Concentrix, HR is far more than a traditional back-office function. With more than 430,000 employees across over 80 countries, the company recognizes that its people are its greatest asset. Ahluwalia explains that HR has consistently held a prominent role in organizational decision-making, particularly as Concentrix has expanded through mergers and acquisitions. Rather than separating HR from technological innovation, the company actively integrates its approximately 3,000 HR professionals into technology adoption and business transformation.
Adaptability Becomes the Essential Skill: Hiring more than 200,000 people annually creates significant workforce planning challenges, especially as emerging technologies introduce roles and skills that barely existed a year earlier. Ahluwalia highlights an unusual recruitment dilemma: How does a company interview candidates for positions when the necessary expertise does not yet exist internally? His answer emphasizes adaptability over mastery of any particular programming language or technical function.
AI Transformation Must Go Beyond Automation: For Ahluwalia, the greatest opportunity presented by AI is not simply making existing workflows faster. While automating manual tasks and improving efficiency remain valuable, he argues that organizations must question whether certain processes need to exist at all. Concentrix is exploring how AI can fundamentally redesign work rather than merely optimize established procedures. This distinction becomes particularly important at scale, where approximately 50,000 managers still perform activities such as employee performance reviews. Instead of focusing exclusively on simplifying those tasks, Ahluwalia challenges his team to envision a future in which technology completes some activities on employees' behalf.
Big Quote: "We are not looking at saying, okay, can we automate this workflow and reduce 5% of the headcount? We are looking at can we automate that workflow, which reduces the friction in the process and people use the systems better."
Learn More About Concentrix and Workday:
Check out this information on Workday AI and learn more about Concentrix.

Visit Cloud Wars for more.

In today's Cloud Wars Minute, I challenge Oracle's skeptics and explain why its aggressive AI infrastructure investments could position the company for extraordinary growth.
Highlights
00:03 — Oracle made a significant announcement last week. It had nothing to do, really, with its technology or partnerships, although those have been remarkable. It had to do with what I have called the monkey on its back, the negative cash flow monkey on its back. And in light of that announcement, I'm recommending to all the Oracle skeptics out there: just breathe.
01:06 — Oracle's already got the incredible demand in the form of contracted business, almost as much as Microsoft has built up in this cloud and AI backlog. No other company ever in the tech industry, in any other industry, has ever assembled a backlog as big as the one Oracle has.
01:47 — In the next three years, that backlog will convert to $332 billion of revenue. So, this is a company with a huge business, customers lined up, demand is there. It's building out the capacity to meet that. To do that buildout, it had to borrow some money, but the big thing is the demand is there.
03:29 — Its RPO is already, like I said, $664 billion. The only company with a bigger RPO backlog is Microsoft, which is $677 billion. So, you know, Oracle's almost on pace with them, bigger than AWS, bigger than Google Cloud. So, at AI World, they had this ambitious product blitz and also partnerships at AI World that are showing that Oracle's not sitting back.
04:00 — Its whole huge portfolio is now 100% oriented around AI. The partnerships are going to push them into new areas, new capabilities. It's partnering with Google to use Google TPUs. It had Sam Altman from OpenAI there. It's infusing OpenAI's technologies throughout all of Oracle's software suite. Its database business is picking up, especially with the Oracle AI Database coming out now.
04:29 — I think that you know I understand why some people say, "Huh, nobody's done this before. What if it doesn't work?" But, Oracle's way of doing things is always say, "Hey, nobody's done this before. We will make it work", and I've got a link in this article to a great presentation at the Oracle Investor Day by the president of Oracle Cloud Infrastructure, Mahesh Tiagarajan, in which he explains how they're doing that to scale the build out of these data centers.

Visit Cloud Wars for more.

In today’s Cloud Wars Minute, I break down the growth rates of the hyperscalers and the remarkable comeback AWS is making with its latest growth rates.
Highlights
00:03 — AWS reported strong earnings. While its Q3 growth rate was 39%, up to $46 billion, Amazon CEO Andy Jassy said that AWS will hit hypergrowth of 40% or higher throughout all of 2027 and 2028. This is the sixth straight quarter in which AWS has had accelerating growth. This is a remarkable comeback to its growth rates a few years ago.
01:17 — To put it in perspective, that is 39% growth for AWS, 30% growth for Microsoft, and 103% growth for Google Cloud. With the size of AWS, it rolls up to getting closed to an annualized run rate of $200 billion. Microsoft is at about a $250 billion annualized run rate. Google Cloud is at about a $125 billion run rate. Across these three hyperscalers, there's very strong growth overall.
02:44 — Bedrock inference service is undergoing surging growth. Token volume is up 17 times over a year ago and the spending from Fortune 500 is up by seven times. Looking back a few months, AWS's chip business has hit greater than a $25 billion run rate. The AI business, as of three months ago, was at $25 billion.
04:05 — Each of these hyperscaler companies had the opportunity, over the last few years, to go into or develop any products and services they wanted that would best meet the needs of enterprise companies. The ones that are innovating the most directly, effectively, and rapidly along the lines of what customers want will be the winners.

Visit Cloud Wars for more.

At Oracle AI World in Las Vegas, Cloud Wars host Bob Evans sits down with Bonnie Tinder, founder and CEO of Raven Intelligence, to explore what enterprise customers are actually experiencing as they implement artificial intelligence. Drawing on conversations with seven Oracle customers across industries, including Heathrow Airport, Baylor University, and Northwell Health, Tinder identifies the critical factors shaping successful AI adoption.
Oracle AI Gets Real
The Big Themes:
Clean Data Drives AI Success: Clean, reliable data emerged as the most important foundation for successful enterprise AI adoption across all seven customer conversations Bonnie Tinder conducted at Oracle AI World. Organizations emphasized that their systems of record needed to be established and optimized before AI could deliver meaningful value. Baylor University, which implemented Oracle applications in 2020, spent several years strengthening its data foundation before expanding AI-enabled workflows.
Employee Trust Determines AI Adoption: Trust emerged as a recurring theme. Organizations recognize that employees need confidence in AI-generated information before they will consistently embrace new workflows or recommendations. Introducing unreliable systems or poorly designed processes can damage that confidence and undermine subsequent technology initiatives. Consequently, customers emphasized careful implementation, credible outputs, and practical applications that improve employees' daily experiences.
Enterprise AI Must Enable Action: The conversation ultimately centered on the transition from systems that record information to systems that help organizations take action. Evans observed that AI is becoming increasingly effective at identifying previously hidden problems, including potential employee turnover, security vulnerabilities, maintenance requirements, and fraud risks. However, uncovering these challenges creates additional responsibilities for business leaders. Tinder argued that organizations must use predictive insights to prevent problems from escalating rather than simply accumulating more information about potential risks.
The Big Quote: "I mean, you could look at the problems that it surfaces and get depressed about it, or you can like actually do something to ensure that those problems don't escalate and snowball."
More from Bonnie Tinder:
Connect with Bonnie on LinkedIn and learn more about Oracle's latest advances.

Visit Cloud Wars for more.

In today's Cloud Wars Minute, I analyze the extraordinary growth of Google Cloud, Microsoft's impressive performance, and the changing competitive dynamics of the AI revolution.
Highlights
00:02 — Earlier this week, we got Q3 results from both Google Cloud and Microsoft, and I think the big news for me about both those, while both companies performed very, very well and the growth is really eye-popping, Google Cloud, for the three months ended September 30, is growing three and a half times faster than Microsoft Cloud.
00:36 — Microsoft Cloud revenue grew 30% to $63.9 billion. So, I'm not in any way trying to criticize what Microsoft did here. I mean it's the equivalent of a $250 billion business growing at 30%. That's just unprecedented, unheard of.
01:43 — This isn't a flash in the pan or a one-time thing. Let's look at the growth rates for Google Cloud and Microsoft Cloud over the last seven quarters. Taking nothing away from Microsoft, but the comparison here is striking. And in a detailed article later this morning, I got a couple of bar charts on there that show quite graphically the differences in the growth trajectories of these two stellar companies.
02:38 — And it really is striking, the difference between Google Cloud going like this and Microsoft just barely better than flat. So, I want to again say kudos to Microsoft. It's got a company now, with its growth over the next few quarters on an annualized basis, it's somewhere between a $250 billion and $300 billion company, and the last quarter growing at 30%.
04:18 — Google Cloud added an incremental $5.9 billion in Q3 versus Q2. Microsoft added an incremental $4.6 billion. So, while Microsoft's overall number is bigger, and it deserves full credit for that, Google Cloud is winning more new business quarter to quarter, right here, right now, than Microsoft is, and that is stunning.

Visit Cloud Wars for more.