IBM Power 10/11 users in regulated industries

IBM Power 10/11 users in regulated industries that cannot use the cloud is the single most powerful angle for TD SYNNEX's marketing strategy. This positions the combined and solution as the only path to modern, while maintaining absolute control and compliance.

TD SYNNEX : "Secure Sovereignty Stack" or the "Air-Gapped Engine."

Here is a multi-faceted marketing approach structured around the imperative of on-premises control.

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1. Marketing Value Proposition: The "Sovereign Stack"

The message must pivot from a discussion of features to a guarantee of outcomes within a non-cloud environment.

Pillar	Key Message to Customer	How Equitus.ai/Power Enables It
Data Sovereignty & Compliance (The Non-Negotiable)	"Keep Your Data, Get Your ." Run mission-critical on your own secure iron, ensuring 100% data residency and full auditable control for HIPAA, classified data, and financial mandates.	IBM Power 10/11: Unmatched (Reliability, Availability, Serviceability) and hardware-level security (e.g., Cyber Vault). Equitus.ai : Provides full data provenance and explainability for every decision, critical for regulatory audits.
Accuracy and Trust (The Advantage)	"Trust Your Agents." Guarantee that your workflows are built on -ready, "clean data," eliminating the risk of data drift, bias, and hallucination from unstructured or disparate sources.	Equitus.ai : Automatically ingests, cleans, and unifies structured and unstructured data into a knowledge graph on-premises, which is the single most important prerequisite for trustworthy models.
Performance at the Core (The Advantage)	"Real-Time Insights, No Cloud Latency." Co-locate high-performance inferencing directly with your most sensitive transactional data, providing sub-second insights without the risk or latency of cloud connectivity.	IBM Power 10/11: -accelerated architecture (Matrix Math Assist) designed to run workloads next to core apps (Oracle, SAP, Core Banking) without needing costly, separate GPUs or leaving the secured environment.

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2. TD SYNNEX Go-to-Market Strategy

TD SYNNEX, as the solutions aggregator, must focus on enabling its network and simplifying the sale.

A. Partner Enablement: The "Sovereignty Specialization"

1. Specialized Competency: Create a partner specialization track focused on the on stack, specifically training partners on the regulatory and compliance needs of Finance, , and .

2. "Agent-Ready" Packaging: Offer pre-configured, validated bundles (Power hardware + software + deployment services) with pricing models that include software subscription and support, making it an OpEx-friendly solution despite being on-premises.

B. Targeted Demand Generation (Vertical-Specific)

1. Executive Briefings/Roundtables: Host private events for and in each vertical. The theme should be "The Compliance Crisis: How to Innovate Without Leaving Your Data Center."

2. Verticalized Content:

   • Finance: "Beyond : for Real-Time Regulatory Reporting with on ."

   • Government/Defense: "The Air-Gapped Advantage: Fusing All-Source Intelligence with for Threat Assessment."

   • Healthcare: "HIPAA-Compliant : Using to Unify Notes and Drive Clinical Decisions on Your ."

3. Proof-of-Value Engagements: Use 's resources and partner labs to offer that take a client's existing, messy, on-prem data (e.g., medical notes or fraud reports) and demonstrate the 's ability to clean and contextualize it, proving the "clean data" value before the full sale.

C. and Marketing Hook

The feature is the easiest to showcase and sell to end-users (the non- decision-makers).

• Elevator Pitch: "With 's Natural Language Query , you don't need a data scientist to ask mission-critical questions. Your analyst (or doctor, or fraud investigator) can simply ask the in plain English, and the system, grounded in your 's clean data, will provide an immediate, auditable answer."

• Focus on : Position as the ultimate user interface for the . The launches the autonomous workflow, and the ensures the agent's actions are grounded in truth (i.e., clean, secure data). This is the leap from simple chatbots to mission-critical automation.

$\text{Equitus.ai}$ solution on the secure, on-premises $\text{IBM Power 10/11}$ platform to the core needs of each regulated industry.

Here is a "box chart" outlining the key uses and benefits:

$\text{IBM Power 10/11}$ & $\text{Equitus.ai}$ Use Cases in Regulated Industries

The chart highlights how the combined solution enables $\text{AI}$ innovation while ensuring $\text{Data Sovereignty}$, $\text{Compliance}$, and $\text{Performance}$ in environments where cloud usage is restricted or impossible.

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Industry	Primary Use Case for Agentic $\text{AI}$	Core Capability: $\text{NLP/NLQ}$ & "Clean Data"	Key $\text{IBM Power}$ & $\text{Compliance}$ Benefit
Finance	Real-Time Fraud & $\text{AML}$ Detection Analyzing massive, disparate transaction records (structured) and external reports (unstructured) to identify complex criminal networks.	NLQ for Investigations: Analysts use plain English to query the Knowledge Graph (KGNN) to trace fund flows and relationships instantly. Clean Data: $\text{KGNN}$ fuses data, removing silos, and ensuring high-integrity data for the agent's risk models.	Data Sovereignty & Explainability: All data and $\text{AI}$ decisions remain on-premises (Power) for $\text{FINRA/AML}$ audit. $\text{KGNN}$ provides the full provenance needed to explain every $\text{AI}$-flagged transaction.
Government / Defense	All-Source Intelligence Fusion & Threat Assessment Automatically ingesting and correlating structured intelligence feeds with massive volumes of unstructured data (e.g., reports, open-source text, audio transcripts) for mission-critical decisions.	NLP for Context: $\text{NLP}$ extracts entities, events, and relationships from chaotic text, converting it into context-rich, structured data within $\text{KGNN}$. NLQ for Commanders: Allows field agents to ask complex, real-time questions (e.g., "What is the enemy's projected route based on last 72 hours of intercepts?") and get instant, grounded answers.	Air-Gapped Security & Performance: The entire solution runs on-premises ($\text{IBM Power}$) with hardware-enforced security, enabling high-performance $\text{AI}$ inferencing on classified data without ever touching an external network.
Healthcare	Clinical Decision Support & Compliance Monitoring Unifying patient data scattered across structured $\text{EHR}$ fields, unstructured physician notes, images, and lab reports for proactive risk prediction and quality assessment.	NLP for Insights: $\text{NLP}$ turns unstructured clinical notes (80% of patient data) into "clean data" for $\text{AI}$ models, identifying adverse drug events ($\text{ADEs}$) or undiagnosed conditions. NLQ for Clinicians: Doctors can query the patient's entire history in seconds, streamlining documentation and reducing burnout.	HIPAA Compliance & $\text{RAS}$: Data remains local to the hospital (Power) for strict $\text{HIPAA}$ compliance. $\text{IBM Power}$'s legendary Reliability, Availability, Serviceability ($\text{RAS}$) ensures critical $\text{AI}$ systems (like surgical support) never go down.

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Marketing Focus for TD SYNNEX

TD SYNNEX should position this as the Secure $\text{AI}$ Platform of Choice for organizations that prioritize control:

1. Lead with Compliance: The core message is that $\text{Equitus.ai}$ on $\text{IBM Power 10/11}$ is the only way to deploy high-impact, $\text{Agentic AI}$ and $\text{Generative AI}$ models while remaining 100% compliant with stringent data residency and audit requirements.

2. Highlight "Clean Data" as the $\text{AI}$ Foundation: Emphasize that $\text{NLP/NLQ}$ is effective only when the data is trustworthy. $\text{KGNN}$'s automated data cleaning and contextualization addresses the $80\%$ data preparation bottleneck that stalls $\text{AI}$ projects in regulated environments.

3. Target the $\text{AI}$ Skills Gap: Promote $\text{NLQ}$ as the user-friendly interface that democratizes $\text{AI}$, allowing business analysts and domain experts—not just data scientists—to gain complex insights.