Wipro And IBM: Capitalizing On The Business Value Of GenAI
Enterprise leaders want to harness the power of AI to generate business value and growth, be it through automating repetitive tasks, improving decision-making, developing new products or improving customer service. But knowing where to start, and which use cases will provide the biggest opportunities for growth, is a challenge.
When adopting GenAI, organizations are faced with managing hybrid and multicloud environments that introduce operational complexities, they must handle structured, semi-structured, and unstructured data from diverse sources, and they often lack the domain expertise to select the right AI models for their needs or the infrastructure necessary to scale solutions.
By addressing these challenges, organizations can effectively leverage GenAI to drive innovation, improve efficiency, and deliver greater value to their customers.
Read on to find out where to start when it comes to generating value from GenAI, and how partnerships help accelerate AI adoption.
Laying the Foundations
Before embarking on implementation, a robust AI strategy must be in place to maximize the chance of success. Without a clear plan of action, combined with relevant resources or expertise, AI projects can struggle to achieve ROI.
This means ensuring responsible AI use by implementing robust governance frameworks and ethical guidelines, and prioritizing data security to protect sensitive information and maintain trust. Performing an audit of available data is also essential to ensuring your organization has the means to power AI models. This may mean implementing a data fabric solution to address data volume, variety and velocity.
Identifying Use Cases
Initial use cases will vary depending on the organization, but they must be easy to implement and integrate into existing systems, and success must be easy to measure.
Organizations must determine whether they want to build AI solutions in-house, opt for pre-built solutions, or partner with a third party, identify the best AI large language models for their needs, and determine the customer pain points or opportunities they are aiming to address with GenAI.
Potential use cases include implementing AI-driven chatbots to handle customer inquiries, automating the creation of marketing materials and product descriptions, writing and optimizing code, meeting summarization and document processing.
Choosing the Right Platform
Another key factor in AI success is choosing the right platform. The Wipro Enterprise AI-Ready Platform offers businesses several unique advantages. Through their partnership, Wipro and IBM have created a powerful platform that accelerates AI adoption, enhances operational efficiency, and drives innovation, ultimately delivering greater value to customers.
Using the platform, businesses can create fully integrated and customized AI environments, choosing how to develop and deploy models, regardless of whether they opt for public, private or hybrid cloud environments. Customers also retain control of their own data and IP.
The platform leverages IBM watsonx.governance to automate AI governance throughout the AI lifecycle, making it easier to monitor risk. And Agentic AI facilitates autonomous decision-making for enhanced operational efficiency and resource allocation.
Furthermore, integrations with IBM watsonx means organizations can utilize watsonx.ai (AI Development Studio) and watsonx.data (model development and training).
Partnering for Success
While many organizations acknowledge the need to develop, deploy and manage AI in a way that will drive business growth, many are far from ready to realize their AI ambitions. Engaging with knowledgeable and experienced partners to establish AI readiness, define success, and implement solutions that will deliver true value is essential.
By working with Wipro and IBM, organizations can establish a viable, cost-effective route-to-market for AI and deliver tailored solutions that generate true value for customers.