You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
If the reference is valid, for a given statement: if the facts or data it contains can be found entirely or partially within the reference, it is considered 'supported' (data accepts rounding); if all facts and data in the statement cannot be found in the reference, it is considered 'unsupported'.

You should return the result in a JSON list format, where each item in the list contains the statement's index and the judgment result, for example:
[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
Bringing the power of watsonx to our clients with IBM Consulting

Talent, customer service and application modernization are three of the most high-impact use cases for generative AI that matter for business.

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Bringing the power of WatsonX to our clients with IBM Consulting.

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Artificial Intelligence

Business operations

Bringing the power of watsonx to our clients with IBM Consulting

In our hundreds of generative AI engagements with clients around the world, enterprises are trying to balance massive value creation with risk mitigation—and they face a shortage of the necessary “AI for business” skills. Half of CEOs report they are already integrating generative AI into products and services, and 43% say they are using generative AI to inform strategic decisions, according to a recent
IBM Institute for Business Value (IBV) CEO study
. Yet more than half of CEOs are concerned about the security of data, and 48% worry about bias or data accuracy.

Business leaders are seeking a trusted partner who:

Understands the particular needs of the enterprise, with hands-on experience helping clients across industries scale AI and deliver real business value
Can deliver any AI model, on any cloud, anywhere—and brings a strong point of view about which platform, model and deployment option is best suited for their needs
Takes a
human-centric, principled approach
—with clients and internally—putting
principles for trust and transparency
at the heart of everything

Our clients also recognize the value of consultants with the inside track on
IBM watsonx
, the enterprise-ready AI and data platform built to enable enterprises to scale and accelerate the impact of the most advanced AI with trusted data. While watsonx started rolling out in July, it has already transformed the fan experience for IBM clients including the
Masters
and
Wimbledon
.

IBM Consulting’s watsonx practice brings expertise in the generative AI technology stack, as well as domain and industry experience that can help accelerate clients’ business transformations. In the same way that we established our successful Hybrid Cloud services business built on the Red Hat® OpenShift® platform, IBM Consulting intends to be the leading consulting services provider for watsonx.

Solving business problems with watsonx

IBM has identified three of the most high-impact use cases for generative AI that really matter for business in this moment—talent, customer service and application modernization—and we’re already at work helping clients get results with watsonx.

AI for HR and talent

HR leaders are facing enormous challenges, from the global skills gap to labor shortages to evolving employee expectations of their employers. They’re seeing the potential of AI to help dramatically across the HR lifecycle—recruiting, retaining and developing the skills and talent every organization needs to effectively compete in the new AI era. 41% of executives report their organization is already using generative AI in HR, according to recent IBM IBV research*.

IBM Consulting brings together deep HR, industry and technology expertise with our AI for business solutions, watsonx Orchestrate and watsonx, and an open ecosystem of partners. watsonx Orchestrate can help automate and enhance the acquisition lifecycle from a single user interface that integrates with applications across our partner ecosystem. Watsonx amplifies the impact of AI throughout HR workflows, while ensuring responsible AI use to meet the highest ethical, privacy and regulatory requirements. And IBM is already applying this approach
internally with IBM HR
.

AI for customer service

The business leaders who manage sales, customer service and marketing need to meet increasingly high customer expectations for personalized and engaging experiences. Many leaders are starting to recognize that everywhere you have AI, you should combine it with an amazing experience—and everywhere you have experiences, you need to power and personalize them with AI. A recent study by Stanford and MIT Sloane found that access to AI increased customer service agent productivity, particularly among agents with the least experience and skills.

IBM Consulting specializes in end-to-end service transformations for customer and field service operations. Leveraging watsonx.ai, we train and fine-tune foundation models using company and customer-specific data, providing AI-driven insights for timely customer engagement and guided advice. With watsonx Assistant, watsonx Orchestrate, and Discovery, organizations can efficiently handle customer queries, integrate with call center technology, and adapt to preferred platforms. A 2023 Forrester Consulting Total Economic Impact™
study
, commissioned by IBM, showed an ROI of 370% over three years with IBM watsonx Assistant
.
IBM Consulting is
already at work
with clients such as Bouygues Telecom, which has been working with IBM Consulting to transform its call center operations with enterprise-ready generative AI capabilities.

AI for application modernization

CIOs and CTOs are looking across an incredibly complex IT landscape, with technical debt and aging applications, siloed skills, high cost of cloud adoption, security concerns and more. Our clients are keen to tap AI to build or refactor applications, cope with skills gaps and reduce mundane, tedious tasks so staff members and teams can work more efficiently. AI can help address these challenges, improve productivity and scale quickly with decreased costs via code conversion, code generation, transformation planning and knowledge management.

IBM Consulting has a history of co-creating hybrid cloud strategies, fueling a deep understanding of how to modernize applications on hybrid cloud, manage hybrid cloud journeys with reduced risk and predictable outcomes, and operate IT autonomously with the help of AI. With the Red Hat
Ansible Lightspeed with IBM watsonx Code Assistant
offering, business leaders can drive the adoption of consistent and accurate generative-AI-driven IT automation throughout their organization. Using the IBM watsonx.ai foundation models, watsonx Code Assistant will boost developer efficiency by suggesting code based on natural language input, simplifying the development of hybrid cloud code for IT professionals and enabling those experienced in writing automation code to work even more efficiently.

IBM Consulting is proud to be the only consulting organization at scale inside a technology company, at a time when technology is key for all transformations. Our team is backed by the technical depth and cutting edge capabilities of IBM Software and IBM Research. We’re honored to help our clients seize this exciting moment and bring the full power of IBM’s enterprise-ready watsonx technology to bear on our clients’ most pressing business challenges.

Author

Glenn Finch

Global Managing Partner - GenAI & Data

Footnotes

* IBM Institute for Business Value 2023 pulse survey of 100 CIOs and CTOs, unpublished data

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</reference>

<statements>
1. IBM’s AI strategy centers on watsonx, a portfolio of generative‑AI and data products for building, deploying, and governing AI models, backed by consulting services that guide clients from ideation to implementation and ongoing operations. IBM Consulting’s watsonx practice focuses on high‑impact generative‑AI use cases in talent, customer service, and application modernization, and has delivered measurable ROI for clients—such as a 370% three‑year ROI with watsonx Assistant in a Forrester Total Economic Impact study.
2. Most firms have developed proprietary AI platforms (e.g., Accenture myWizard/AI Refinery, McKinsey QuantumBlack/Lilli, BCG GAMMA/AI@BCG, Bain’s AI‑as‑a‑Service, IBM watsonx, EY.ai, PwC’s AI Studio, Capgemini RAISE and Resonance) and combine them with alliances to hyperscalers and foundation‑model providers (Microsoft, Google Cloud, OpenAI, AWS, Anthropic, etc.). Service lines increasingly bundle strategic advisory with implementation, data‑platform modernization, and managed AI operations, often delivered via centers of excellence and industry‑specific accelerators.
3. Common AI application themes include customer‑service transformation (virtual assistants, contact‑center optimization), marketing and personalization, operational optimization in supply chains and procurement, finance and tax automation, and software‑engineering acceleration. Industry‑specific cases span banking and insurance (mortgage support platforms, risk and pricing tools), telecom (call‑center AI, digital assistants), retail and CPG (pricing, inventory, and customer experience), and public‑sector and healthcare use cases.
4. Global consulting firms are converging on a model where AI—particularly generative and agentic AI—underpins both how they serve clients and how they run their own businesses. Large capital investments, proprietary platforms, extensive ecosystems, industry‑specific solutions, and workforce‑scale upskilling programs together position these firms as central orchestrators of AI adoption in enterprises worldwide. For organizations engaging these firms, the key differentiators lie in depth of proprietary tooling, strength of ecosystem partnerships, maturity of governance frameworks, and demonstrated case‑study outcomes across relevant industries.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.