At the HP Global Partner Conference 2013, HP announced new programs and business models that will enable partners to achieve success through simplified partner programs, more predictable performance rewards, and innovative tools to deliver consistency in partner engagement.
In fiscal year 2013, HP will invest approximately $1.5 billion worldwide in channel programs and IT initiatives designed to reward performance, drive demand and simplify partner engagement.
HP will continue to improve the HP PartnerOne program and deliver innovations in enterprise technology to partners, including a new cloud test environment.
“Our goal is to deliver a consistent experience that will make it easier for partners to buy, sell and grow profitably with HP,” said Meg Whitman, president and chief executive officer, HP. “HP has built one of the industry’s broadest partner ecosystems and we will continue to make significant investments to deliver the greatest business value for HP and our partners.”
HP Simplifies HP PartnerOne Program
The HP PartnerOne program offers proven sales and marketing tools to help partners generate new leads, increase demand for products and services, mine existing business and make the sale.
HP is delivering simplicity, profitability and consistency by:
- Implementing a simplified, consistent compensation model that removes rebate revenue gates and caps to improve partner revenue predictability. This provides clearer visibility to the amount of rebates so partners start getting rewarded from the first sale, opening the door to virtually unlimited earning potential.
- Increasing rebates for higher specialist designations, delivering more opportunities to increase profitability.
- Extending the amount of time partners have to use their marketing development funds (MDF) from three months to six months, providing more flexibility around both marketing activities and cash flow.
- Rationalizing and simplifying sales and technical certifications in the HP ExpertOne training platform, while maintaining the integrity of individual certifications and making it easier for partners to gain the sales and technical skills to competently service and support HP customers.
In addition, as part of its channel investments in fiscal year 2013, HP is making a significant IT investment to roll out its new Unison platform, a globally consistent IT platform that will enhance the speed, security, targeting and breadth of communications and joint business planning with channel partners.
HP Provides Partners Opportunities to Innovate and Expand Revenue in the Cloud
Cloud computing enables partners to enter new markets, expand their customer base and capitalize on high revenue potential. To help partners expand profitability and deliver Converged Cloud solutions that drive agility and speed innovation, HP is extending partner programs to increase cloud opportunities for resellers, service providers and independent software vendors (ISVs).
The new HP CloudSystem Ready Program lets members of the HP AllianceOne Partner Program rapidly bring applications developed for the client server or internet environment to the cloud. This program enables ISVs to easily test applications using HP CloudSystem, including access to a test and development environment, training, a self-certification process, promotion resources and ongoing HP technical support.
HP Financial Services, the company’s leasing and life cycle asset management services subsidiary, has extended HP CloudSystem financing to channel partners and their customers moving to the cloud. This program allows customers to build and scale cloud environments without large up-front cash outlays typically tied to purchasing the technology.
The Latest
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...