Enterprise Data and Analytics: Driving AI-First Transformation
Generative AI burst on to the scene only recently, yet enterprises are already aggressively exploring its transformative potential.
There is over 67% increase in Gen AI spending from 2023 to 2024.
AI and the nimble giant - We found large enterprises companies are more likely to adopt generative AI and claim business value from these initiatives.
From exuberant hype to sober reality - While most businesses see generative AI as a topmost technology investment, the outcomes have yet to be proven at scale and only 26% of executives cite satisfaction with AI initiatives.
Around 49.3% state data privacy, security, and useability curtail adoption of Generative AI.
Orazel journey towards being AI-first with Infosys Topaz
Orazel has embraced AI at an enterprise level, combining generative AI with traditional AI and digital services to become an AI-first organization. Our focus has been to help enterprises embrace AI not only to deliver operational efficiency, productivity but to delivery real business value. Read Top 10 AI Learnings we have captured from our journey that can help you adopt AI ethically, quickly, and profitably.
How can Orazel enable that transformation?
With the buzz around GenAI and AI getting democratized, we see a marked shift in the industry from being digital-first to AI-first.
The emerging AI economy is blurring the traditional industry boundaries, creating new business models and new AI powered products/services. To unlock these limitless possibilities, AI adoption is becoming the strategic imperative for global businesses.
Enterprises are seeking to become AI native, which means that the critical initial step is setting up the right data and AI foundation along with the ability to manage "All" data, setting up the right guardrails for AI adoption and scale the foundation itself to measure and deliver tangible results. This is essentially all about getting the enterprise ready for AI.
Similarly, enterprises are moving beyond traditional analytics and seeking to reimagine their businesses using AI to remain competitive.
Fig 1. Evolution of Digital-first to AI-first
While businesses are eager to embrace AI, we are finding that their IT and Business are not AI-Ready and lack actionable AI strategies that can deliver tangible results. Orazel ’ expert blueprint help businesses at any level of AI maturity to break free from the limitations of traditional approaches and empower them to embrace AI to deliver intelligent solutions for sustainable success.
Fig 2: AI-first offerings to achieve business outcomes
Getting Enterprises data ready for AI - An offering powered by platforms and accelerators to help enterprises manage “All” their data by efficiently cataloging and fingerprinting which is essential for optimal AI performance. It also helps to apply governance guardrails throughout the data/AI lifecycle and democratize knowledge.
AI-first Business Transformation - An offering unlocks a future-proof advantage through a series of focused, measurable micro-transformations. These empower enterprises to reimagine business processes with AI-augmented capabilities, driving sustainable competitive advantage through measurable business outcomes.
Building AI economy - An offering that helps enterprises build new AI driven products and services which are served through a network of partners. This enables enterprises to build sustainable competitive advantage.
AI strategy and Value office - An offering that helps enterprises harmonize a business-first AI strategy, establish executive governance and processes along with an outcome-focused value office, driving measurable success. It also provides guidance on technology, architecture choices and assists our clients build their data, analytics, and business intelligence competency centers. The offering features functional blueprints and effectively manages change through evolution.
Data and AI Governance - An offering that provides the framework and expertise needed to ensure trust, data security, privacy compliance, and ethical AI development that paves the way for responsible innovation.
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