panies redo the way they conduct drug discovery, implementing net-new code generation and code refactoring, helping banks become closer to millennial customers by leveragingAI for digital transactions and creating AI models to do image detection on factory assembly lines. Other key use cases include improving patient care for hospitals by making a person’s entire medical history easily available for doctors and cleaning up companies’ data lakes and databases to automate new areas of business. Kurian said one of the largest sales-driving opportunities for the partner ecosystem is not only selling to the IT department, but to the back offices of customers as well, opening up brand-new line-of-business dollars to chase after, thanks to GenAI. “Some CEOs say, ‘Hey, I’m using AI to improve efficiency. Efficiency means my finance and back-office function, my human resources, my help desk, my call center and customer service sys-
“We’re helping customers with business transformation across the value chain, creating nonlinear growth models for custom- ers,” said Sanjay Singh, CEO of New York-based Onix. “We’re enabling new product introductions, new solutions, new manu- facturing capabilities as well as breaking the linearity between cost and revenue.” Because “every company who needs customer services” is seeking Onix to transform their business via AI, the company’s sales are up 500 percent in 2023 compared with last year, includ- ing several recent big wins from Fortune 100 companies, Singh said. “Google is innovating at a very rapid pace. Let’s suppose there are multiple models deployed within the customer environment in which that model also undergoes refresh all the time from Google. That is where a partner like us comes in, and we make
tem.’ Others say, ‘Hey, I want to change the way I engage customers, change the way that people book travel with me, change the experience they have when they visit my hotel, change how they order food.’ These are all about changing the customer
sure that the model is giving the right results, you’re fine-tuning it, you’re making sure that the model is trained on the right data—that is where the MSP MLOps, DataOps and the AIOps come into the picture,” Singh said. “That is super
‘ e deployment of this AI tech is giving dramatic outcomes. Not small results, but dramatic improvements across cost, innovation and customer experience.’ — Sanjay Singh, CEO, Onix
experience,” said Kurian. “We provide amazing technology throughVertex AI [MLOps tools] and [AI-powered collaborator] DuetAI, but somebody needs to sit down with the customer and redesign that business process.” In Kurian’s mind, that somebody is a partner withAI expertise. Kurian is puttingAI specialist partners front and center to drive this services-led customer redesign, armed with some of the most innovative GenAI solutions. Google Cloud’sAI innovation engine has been revving in 2023, with nearly every new product launch this year revolving around AI.This includes the launch ofVertex AI, Duet AI, as well as new GenAI features injected into BigQuery,Workspace and the Google Cloud Platform. ‘Every Company Who Needs Customer Services’ Is Seeking AI Building and managing a customer’s AI life cycle is the biggest money-making services opportunity partners have ever witnessed, Google Cloud executives told CRN , as solution providers are poised to discover new use cases outside IT departments, build and maintain a customer’s AI models and constantly fine-tune and upgrade customer data. Onix is a 13-time Google Cloud Partner of the Year winner that has been focused on data andAI for years.The company has 75AI customer projects in production—from transforming patient care to deploying AI in call centers to boost agent productivity, as well as AI customers in retail, telecom and financial services industries.
critical, and it’s a very high-growth area for us. … The deploy- ment of this AI tech is giving dramatic outcomes. Not small results, but dramatic improvements across cost, innovation and customer experience.” Transforming a customer’s data into usable AI solutions is key for partners and leads to rich services opportunities, he said. Because customer demand for GenAI is far outweighing supply, Onix acquired business intelligence data analytics andAI company Datametica in October. “Data exists in multiple systems, but customers need to form a 360-degree view of everything. That’s what this platform does from a contextual perspective—managing the models to make sure it is giving the right output and inputs, and managing that for the customer life cycle,” said Singh. “All my new hires are in the data and AI [areas]. My demand is outstripping supply in terms of data and AI capabilities.” Google Cloud Faces AWS, Microsoft Competition This year, the three largest cloud computing companies placed their investment dollars in GenAI. Like Google Cloud, Microsoft andAmazonWeb Services are pouring billions into launching new GenAI products, services, tools and partnerships withAI startups like OpenAI andAnthropic, respectively, as the cloud giants want to inject AI into everything—from collaboration tools to new AI foundation models. Kurian said Google Cloud will win this AI arms race by pro- viding the best AI infrastructure for training and serving models
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