Using Earnings Hub and new AI resources to accelerate partner growth
Today, Google Cloud is launching additional resources to help Google Cloud partners expand their AI knowledge and meet the increasing demands of their customers, as well as a new tool to help them better track their growth and possibilities.
With Google Cloud products, its partners are assisting clients worldwide in implementing and creating business value. Businesses are being significantly impacted by generative AI in particular; 74% of early adopters have already seen a return on investment via increased revenue, productivity, and customer satisfaction. By offering the incentives, rewards, and training required to expand their service practices and take advantage of the enormous AI business opportunity that lies ahead, it is dedicated to assisting partners in hastening the adoption of this potent technology. With a new Earnings Hub platform, it is now making it even simpler for partners to comprehend these incentives.
Keep track of and maximize rewards using Earnings Hub
A new platform called Earnings Hub gives partners a thorough picture of the rewards they have earned by combining important data including cash, credits, rebates, and discounts into a single, user-friendly dashboard. Google Cloud partners can examine Google Cloud reward information on this platform right now. In the upcoming weeks, they will also be able to view information on Workspace and Security Operations (SecOps) incentives. Its objective with Earnings Hub is to help partners boost the use of incentives by giving them more clarity regarding eligibility and calculation of incentives.
Important advantages include:
- Unified dashboard: Partners can get a single overview of all earned incentives, such as money, credits, rebates, and discounts, that can be arranged according to particular time periods, product families, and clientele groups.
- Incentive analysis: With thorough summaries for every incentive type, partners can examine past performance and individual earnings to help guide their decisions about where to invest in their companies.
- Filterable data: Partners may quickly locate the information that is most pertinent to them by applying filters to view earnings by product family, client, country, time period, and more.
- CSV download: For offline analysis and documentation, users can quickly download incentive data in CSV format.
A small number of pilot partners have given Earnings Hub very encouraging early feedback. They state that Earnings Hub has greatly increased their capacity to make business decisions more quickly and efficiently, which has enhanced growth prospects and incentive-based income. The same user identification and permission procedures that are used in the Partner Advantage portal are likewise incorporated into Earnings Hub. Only authorized partner users are permitted access.
Earnings Hub is just getting started. AI will become more and more significant in the upcoming months as it powers conversational chat interactions and offers more thorough data analysis, including suggestions to assist partners optimize their earning potential. We’ll keep enhancing AI’s capabilities to provide individualized, useful information on earnings prospects in the upcoming year.
Enabling AI services and talents
Partners understand how important it is to expand their capacity for AI services in order to better serve clients seeking professionals to help them navigate the many phases of an AI project. Its service partners are now earning more than 1,500 skills badges every week after completing more than 500,000 Google Gen AI courses since last year.
google Cloud showcases several developments in partner enablement for the most sought-after AI competencies today, such as:
- An excellent method for partners to verify their fundamental AI abilities is through an updated Professional Machine Learning Certification, which has been enhanced with the most recent AI/ML best practices. Retesting is not required for current certification holders.
- New beginner AI classes to assist partners in beginning to build critical skills such as training more robust deep learning models, utilizing LangChain with Gemini, and deploying apps with Firebase GenKit.
- Courses and learning pathways in new generation AI to give technical workers, such as developers and data engineers, practical generative AI abilities.
- It routinely hosts webinars and workshops on new-generation AI for people of all skill levels worldwide. Subjects covered include fast-growing fields like creating apps using Vertex AI Agent Builder or honing skills in leveraging Google’s foundation models to produce text, code, and graphics.
It also hosts the Gen AI Skill Badge Challenge this month, which offers badges, rewards, and an entertaining and interesting method to master new Gen AI skills.
Additional significant prospects for collaborators
Partners have acted swiftly to satisfy consumer demand for AI and numerous other projects since Google Cloud Next ’24. Currently, the following are some of the largest prospects for partners:
- Workload migration to VMware Cloud Foundation on Google Cloud: Getting the most out of AI generally starts with modernizing infrastructure. It introduced VMware Cloud Foundation on Google Cloud VMware Engine (GCVE) in June for clients that want to update important workloads with the least amount of hassle and expense. Customers exploring GVCE as part of their workload modernization efforts have been given free evaluations and proofs of concept (POCs) by partners with financing from Google Cloud. There is still a great chance for partners to assist customers in modernizing their workloads.
- Combining Oracle database services with Google Cloud AI: Using the vital data they keep with Oracle, customers may now build new AI applications and agents by connecting Oracle database services with Google Cloud AI services like Vertex AI and Gemini models. Partners may be very helpful to clients in implementing and overseeing these integrations, including the creation of deep analytics features made possible by Looker and BigQuery.
As a partner-first company, Google Cloud is dedicated to making investments in the technological resources, learning services, and tools its ecosystem need to hasten the adoption of advanced AI.
