State of Applied Generative AI Market Report
Our aim with this report is to look past the hype and conduct a comprehensive analysis of the current landscape for enterprise adoption of generative AI.
You need to figure out how to weave AI into your business model as a top agenda item. But how can you determine the right moves, cut through the hype, avoid falling for the wrong vendor marketing pitches, and get the full value out of your investments?
To truly unlock the value of AI, you need to go beyond looking at your existing business processes and consider how you can reimagine your business as an AI-augmented organization. Leading enterprises are already getting started.
ISG sees three AI transformation paths in the market today, each with their own strengths and pitfalls to avoid:
Many organizations have a few AI experiments that show promise, and now need to achieve implementation at scale without cost overruns and liabilities.
Top Challenges
Guidance
Some organizations have started AI projects in multiple departments but lack a central vision.
Top Challenges
Guidance
Some organizations are getting differing messages from multiple partners, their industry community and the market and need to determine where to focus first.
Top Challenges
Guidance
ISG provides readiness assessments, hands-on executive strategy development workshops, industry-specific research and proven processes for selecting the right use cases & requirements for your org.
With a strategy in hand, ISG helps you build a business case and source the right software & service providers to achieve ROI goals, fund future efforts and set you up for value realization and scaling success.
Our pure-digital operating model provides a powerful blueprint to reimagine your enterprise with AI and nurture innovation, helping you optimize business operations at every level.
To achieve the promise of your investments, ISG provides OCM, a strategy realization office, governance via our AI control plane, and risk mitigation with AI risk insurance.
Based on our research on and experience with the current state of the applied generative AI market, we’ve developed the optimal path for enterprise AI adoption. Talk to an ISG advisor for support on your specific AI needs, partner ecosystem and decision making.
Our vision for the recommended architectural layout strategically positions generative AI as an industry-agnostic selection of relationships, grouping components as conceptual building blocks. At its core, a cognitive infrastructure forms the base foundation on which everything else is built. With this strong foundation in place, we envision the AI control plane and data layer as robust pillars for support. These pillars should serve as guardrails for your strategy and AI operations.
Learn MoreThe market is rapidly moving to take advantage of AI capabilities. Some industries are moving quicker than others, with use cases and technology assets to support specific needs. ISG is providing a full, complimentary report assessing the AI market current state and trends to help you get started.
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Learn MoreNearly every analytics provider has GenAI capabilities that incorporate NLP either in preview or generally available. Enterprises are adopting GenAI as well. In fact, 85% of enterprises believe that investment in GenAI technology in the next 24 months is important or critical (from the ISG 2023 Future Workplace Study). And the recently completed ISG Buyer Behavior research on AI shows enterprises are experiencing positive outcomes from their AI investments.
The recent launch of the AI Alliance, a coalition of more than 50 corporations and research institutions engaged in artificial intelligence (AI) development (including AMD, CERN, Cornell University, Dell Technologies, IBM, Intel, Linux Foundation, Meta, NASA, Oracle, ServiceNow and Sony Group), aims to achieve the following objectives:
Governance, risk management and compliance are essential tactics for a successful organization. Effective GRC practices help organizations achieve business objectives, mitigate risks and ensure compliance with laws and regulations. As a chief information officer or IT leader, it is important to evaluate new technologies and determine their impact on the business, including whether they fit within the scope of current GRC programs and processes.
Doing more by doing less means using artificial intelligence and related technologies to make financial planning and analysis organizations more productive. By eliminating low-value and unproductive work, AI enables FP&A teams to free up considerable time for more useful and consequential forecasting, planning, budgeting, analysis and reporting. AI isn’t some far-off capability.
Generative AI is a class of artificial intelligence used to generate new, seemingly real content. Broadly speaking, AI has traditionally been used to identify patterns in data and apply those patterns to categorize and predict behaviors. For instance, it can organize customers into groups (or clusters) with similar characteristics, or predict which customers are most likely to respond to certain offers.