From selecting the right use cases through introducing robust orchestration to reduce risks, AI adoption at an enterprise scale can't be done in a silo. To get the leapfrog benefits of AI, you need the talent, tools and expertise of services and software providers. But knowing which provider(s) to rely on, how to build the contract and what's needed to ensure the results meet your expectations takes something extra.
That's where ISG comes in. We're independent sourcing experts who know the intricacies of AI adoption and the software and IT services market.
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The success of AI adoption relies on creating robust organizational and governance structures that accelerate AI adoption while managing risks. Cognitive infrastructures incorporating hybrid cloud, security, privacy, intelligent edge, and purpose-built AI solutions are changing the IT landscape, making technology adoption more difficult. Integrating model-aware computing is crucial for optimized AI performance and responsiveness. We help you select the right use cases and build the business case to accelerate adoption.
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GenAI has dramatically changed the delivery of core services. Your current partners may excel in various areas, but they might not be invested in AI or passing those savings to you. Our specialized research and proven methodology identify the true savings potential and partners that align with your AI needs. This strategic approach ensures you collaborate with the right experts who can drive your AI initiatives to success.
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To fully realize the potential of your AI investment, ISG offers a comprehensive suite of services, including organizational change management, a strategy realization office, and robust orchestration across your AI environment. These elements ensure effective risk mitigation and governance, guiding your journey from initial implementation to sustainable, large-scale AI integration. Our approach ensures that AI becomes a mainstream component of your operations, delivering continuous value and innovation.
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 MoreBased 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.
The 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 MoreThe artificial intelligence and machine learning landscape was profoundly altered by the emergence of generative AI into the mainstream consciousness during 2023. The widespread availability of GenAI models and cloud services has lowered the barriers to individuals and enterprises engaging with AI for various use cases, including generating content, querying data, writing code, preparing data for analysis, documenting data pipelines and using software products more effectively.
Embracing artificial intelligence technologies opens doors for innovation and efficiency. Alongside these opportunities, however, come risks. Threat actors are keenly aware of the potential impact of AI systems and are actively exploring ways to manipulate them. In this Analyst Perspective, I explore the world of adversarial machine-learning threats and provide practical guidance for securing AI systems.
Until recently, dedicated consolidation software had been a sleepy category. First introduced in the 1980s as a tool designed to run on personal computers (freeing the accounting department from reliance on its IT department), offerings basically achieved feature and function parity by the next decade. The last major technology innovation—moving the software to the cloud—began in the mid-2000s. Cloud-based software reduces the cost and complexity of ownership, making dedicated software a more practical and attractive option for companies with between 500 and 2,500 workers.
Nearly 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:
