Generative AI is racing from pilots to production, but scaling inference reliably, cost-effectively, and anywhere has been the blocker. That changes now.
At Red Hat Summit (May 20, 2025), Red Hat unveiled the Red Hat AI Inference Server, a high-performance, open solution designed to run any GenAI model on any accelerator across any hybrid cloud. Built on the fast-moving vLLM project and enhanced with Neural Magic optimizations, it delivers dramatically faster, more efficient inference, without locking you into a single vendor stack.
What’s in it for your business
Model freedom: Run leaders like Llama, Mistral, Gemma, DeepSeek, Phi, and more, validated and model-agnostic. No more boxed-in roadmaps.
Hardware choice: Optimize NVIDIA and AMD GPUs, Intel Gaudi, Google TPUs, and CPUs, on-prem, public cloud, or edge. Your workloads go where they make the most sense (and the best economics).
Hybrid cloud portability: Deploy as a standalone product or as part of Red Hat OpenShift AI and RHEL AI for consistent operations at scale.
Performance & cost wins: Memory-smart scheduling and continuous batching from Vllm, plus Neural Magic accelerations, translate to higher throughput and lower TCO for production GenAI.
Straightforward buying: Available with per-accelerator pricing and support for third-party Linux, so you can fit it into your existing estate without re-platforming.
Why Prolifics + Red Hat
As a Red Hat partner, Prolifics turns this technology into a business impact fast. We bring reference architectures, landing zones, and accelerators to help you:
Pick the right models & hardware for your use cases and budget
Stand up OpenShift AI / RHEL AI with enterprise-grade MLOps, observability, and security controls
Control spend with right-sizing, spot/committed capacity strategies, and accelerator utilization tuning
Govern responsibly with policy, lineage, and risk controls aligned to your compliance needs
Bottom line: Red Hat just removed the “it depends” from GenAI infrastructure. Prolifics makes sure you capitalize, safely, scalably, and with measurable ROI.
Ready to unlock GenAI, any model, any accelerator, any cloud?
Talk to Prolifics about a rapid readiness assessment and a 30-day path to production with Red Hat AI Inference Server.
CIOs and IT leaders at midsize enterprises are under pressure to modernize fast, without breaking trust, budgets, or the business. Gartner’s 2025 Top Strategic Technology Trends offer a practical star map for what to adopt, what to test, and where to invest next. They’re organized across three themes, AI imperatives and risks, new frontiers of computing, and human-machine synergy, and together they point to one imperative innovate responsibly, as outlined in Gartner 2025 Strategic Technology Trends.
Below, we translate each trend into concrete moves for midsize organizations and show how Prolifics helps you turn vision into value, safely, measurably, and fast.
Theme 1: AI imperatives & risks, innovate with guardrails
1) Agentic AI
What it is: Autonomous AI that can plan, take actions, and pursue goals with minimal supervision. It promises a virtual workforce to augment teams and applications. Reality check: many early projects struggle with cost, scope creep, and “agent-washing.”
What to do now:
Start with bounded, high-ROI workflows (e.g., user provisioning, invoice triage, L2 ticket summarization).
Instrument everything: safety policies, action logging, rollback plans, and KPIs.
Keep humans-in-the-loop for exception handling and continuous learning.
How Prolifics helps: We design agent architectures with policy enforcement, observability, and human checkpoints, integrate them with your apps and data, and build dashboards that tie agent actions to business outcomes.
2) AI governance platforms
What it is: End-to-end tooling to set policy, manage models, evaluate risk, and evidence compliance, so AI remains explainable, lawful, and accountable.
What to do now:
Define an AI Acceptable Use Policy, model, data lineage, and evaluation gates (bias, robustness, privacy).
Centralize model registries, prompts, and datasets; automate pre-prod risk checks.
Align with regional rules and industry codes; maintain audit-ready logs.
How Prolifics helps: Our AI governance frameworks unify policy, process, and platform. We stand up governance workflows and testing harnesses, integrate with your MLOps stack, and help you evidence compliance to boards and auditors.
3) Disinformation security
What it is: A new control layer to verify identity and content authenticity, continuously score trust, and protect brand reputation from AI-generated deception.
What to do now:
Add content provenance checks, deepfake detection, and continuous adaptive trust into security playbooks.
Expand fraud and account-takeover defenses with behavioral signals and risk scoring.
How Prolifics helps: We integrate identity, fraud analytics, and content-validation into your SOC workflows, building the feedback loops and dashboards that reduce incident time-to-truth.
Theme 2: New frontiers of computing — modernize without regret
4) Post-quantum cryptography (PQC)
What it is: Crypto primitives designed to withstand quantum decryption. In 2024, NIST approved three PQC FIPS standards (FIPS 203, 204, 205), a decisive signal for migration planning.
Pilot hybrid (classical + PQC) in test environments; plan staged cutovers.
How Prolifics helps: We run crypto discovery, design a PQC-ready reference architecture, validate performance impacts, and orchestrate upgrades with minimal disruption.
5) Ambient invisible intelligence
What it is: Sensing, tags, and edge analytics woven into environments, delivering “always-on” context and identity for assets, inventory, and processes.
Design privacy and consent into architecture (edge filtering, data minimization).
Use event-driven integration to activate alerts and workflows in real time.
How Prolifics helps: We implement sensor-to-insight pipelines, unify them with your data platform, and expose insights via dashboards and APIs for operations, supply chain, and customer experience.
6) Energy-efficient computing
What it is: Efficiency by design, optimized code, models, and infrastructure, plus renewable energy sources, to meet sustainability targets and lower TCO.
What to do now:
Benchmark workloads; right-size instances and storage classes.
Adopt model compression, retrieval-augmented generation (RAG), and caching.
Track carbon KPIs alongside cost and performance.
How Prolifics helps: We combine FinOps + GreenOps: telemetry, policy-based optimization, and continuous tuning to cut spend and emissions without sacrificing performance.
7) Hybrid computing
What it is: An orchestration layer spanning cloud, edge, specialized accelerators, and on-prem, so the “right workload” runs on the “right substrate.”
Standardize on containerized delivery and event meshes.
Plan for zero-trust across autonomous modules.
How Prolifics helps: We deliver reference architectures, secure networking, and GitOps/DevOps pipelines that make hybrid practical, plus observability that sees across clouds, edges, and clusters.
Theme 3: Human-machine synergy — create value where people work
8) Spatial computing
What it is: AR/VR/MR augmenting the physical world for training, field service, retail, and data-rich decision support.
What to do now:
Start with hands-busy, eyes-free workflows (guided repair, pick-path optimization).
Use digital twins to simulate operations and safety.
Address device ergonomics, battery life, and data privacy up-front.
How Prolifics helps: We prototype spatial experiences, integrate them with enterprise data, and build safety and privacy controls into the stack from day one.
9) Polyfunctional robots
What it is: Robots that switch tasks without retooling, speeding ROI in warehousing, healthcare logistics, and manufacturing.
What to do now:
Target repetitive, injury-prone workflows.
Design human-in-the-loop safety and exception handling.
Integrate with WMS/ERP and real-time analytics for orchestration.
How Prolifics helps: We connect robotics platforms to your digital core, APIs, data, and events, so robots collaborate with people and systems, not just operate near them.
10) Neurological enhancement
What it is: Interfaces that read or stimulate brain activity to improve cognition, safety, and learning. It’s early, and raises unique risk, security, and ethics questions.
What to do now:
Treat as exploratory R&D unless you have clear regulated use cases.
Form an ethics board; define security perimeters and data policies.
Focus on adjacent wins (cognitive-load sensing, fatigue detection) before invasive tech.
How Prolifics helps: We advise on risk frameworks, privacy-preserving analytics, and governance patterns so innovation stays responsible.
How CIOs can use these trends, today Gartner recommends using the annual trends to drill into practical use cases, align with digital ambitions, anticipate operating-model changes, and update multi-year roadmaps. For midsize enterprises, that translates to a focused, outcome-driven playbook:
Prioritize two bets per theme with 90-day pilots tied to hard KPIs (cost, cycle time, revenue lift, risk reduction).
Stand up AI governance first, before scaling agents or advanced analytics.
Modernize cryptography on a rolling schedule aligned to NIST PQC milestones.
Design hybrid by default, make placement an engineering choice, not a constraint.
Measure total value (financial + risk + sustainability), not just feature releases.
Why Prolifics
Prolifics brings a full-stack approach across Data & GenAI, Integrations & Applications, Business Automation, DevOps, Managed IT Services, and QA & Testing, precisely the building blocks you need to confidently operationalize Gartner’s trends. We pair reference architectures and governance blueprints with hands-on engineering and managed operations so your teams see value in weeks, not quarters, while staying compliant and secure.
Responsible AI by design: policy, evaluation, lineage, and observability baked into every AI/ML and agentic initiative.
Future-proof security: crypto discovery and PQC-ready migrations mapped to NIST standards.
Efficient modernization: hybrid architectures, event-driven integration, and FinOps/GreenOps to control spend and carbon.
Human-centered experiences: spatial computing pilots, robot-in-the-loop design, and ethical risk frameworks tuned to regulated industries.
Your next step
Use the 2025 strategic technology trends to shape the future with responsible innovation. Let’s co-create a 12-month roadmap that:
picks 3–5 high-impact use cases,
establishes AI governance and PQC-readiness,
deploys a hybrid, secure, and efficient platform foundation, and
demonstrates measurable value in 90 days.
Ready to build what’s next, safely? Talk to Prolifics about a strategy sprint tailored to midsize enterprises. We’ll align Gartner’s trends to your business goals, deliver pilot outcomes fast, and leave you with the architectures, guardrails, and runbooks to scale confidently.
Orlando, Florida (USA), 29 September 2025 — The scramble to feed AI and analytics with fresh, trustworthy data became easier. IBM® StreamSets now delivers smart, real-time data pipelines through an intuitive, low-code data integration studio, so teams can integrate data across hybrid and multicloud estates without stitching together brittle tools.
At the heart of the offer is a unified control plane, also available within IBM watsonx.data integration, which lets you design reusable pipelines across integration styles (batch, streaming, CDC, unstructured) and data types. The result: fewer siloed tools and less rework as technologies evolve.
Performance is built in. IBM StreamSets real-time data integration is engineered to ingest millions of records across thousands of pipelines within seconds, reducing data staleness for modern analytics and intelligent apps. Its prebuilt, drag-and-drop processors detect and adapt to data drift, insulating pipelines from upstream changes that used to break production flows.
Deploy anywhere your data lives. Run IBM StreamSets as SaaS on major hyperscalers, AWS and Azure listings are available today, and deploy engines into your own VPCs. Teams working on Google Cloud can still deploy engines in their GCP projects and VPCs (even without a marketplace listing), with documented patterns for GCE deployments.
For programmatic productivity, the StreamSets SDK for Python lets engineers template, secure, and roll out pipelines at scale—ideal for DataOps automation with StreamSets and consistent policy enforcement. The latest 6.6 release expands enterprise controls and streamlines developer workflows.
StreamSets is now fully part of IBM’s Data & AI portfolio, following IBM’s acquisition of the technology, strengthening the company’s end-to-end integration and data ingestion stack for AI-ready architectures.
Why it matters (fast)
One pane of glass: Design, run, and govern streaming pipelines via a single control hub, no hand coding required.
Future-proof pipelines: Automatic resilience to schema shifts and source changes minimizes firefighting.
Open destinations: Move structured, semi-structured, and unstructured data to your lakes, warehouses, and event hubs.
Hybrid by design: SaaS control with engines in your cloud or on-premises network for data residency and security.
High-impact use cases
AI & analytics in real time: Stream clickstreams, IoT telemetry, and transaction feeds into lakehouses to power instant insights and model features.
Change Data Capture to cloud: Mirror operational databases to Azure Synapse or AWS analytics services with low latency for modernization projects.
Data reliability at scale: Tame constant upstream change (data drift) to keep executive dashboards and AI pipelines accurate.
Governed multicloud ingest: Deploy engines in your own VPCs on AWS, Azure, or GCP to satisfy sovereignty and compliance needs.
Ready to turn streaming chaos into a competitive advantage? Partner with Prolifics. Our architects design watsonx.data-ready pipelines, accelerate time-to-value on AWS/Azure/GCP, and operationalize DataOps with the StreamSets Python SDK, so your teams ship reliable, real-time data to every product and decision.
With our expertise in IBM StreamSets, we help enterprises modernize with hybrid multicloud data pipelines and future-proof their investments through DataOps automation with StreamSets and intuitive low-code data integration strategies.
Let’s build your first production-grade pipeline together, partner with Prolifics today.
Citizens today expect government services to be as fast, seamless, and reliable as their experiences with banks, retailers, or even streaming platforms. Smarter governance is no longer a concept—it’s a necessity for modern public services. Imagine renewing a passport in minutes instead of waiting months, getting real-time updates on a permit instead of standing in line at a local office, or accessing healthcare benefits online as easily as ordering groceries.
Yet outdated systems, siloed data, and manual processes often hold the public sector back. To close this gap, governments worldwide are turning to AI in government and public services and embracing cloud adoption in government to drive smarter governance and enable public sector innovation.
Together, these tools are redefining public sector innovation, enhancing efficiency, and enabling agencies to build trust with their citizens. The future of governance and the future of public administration lies in embracing smarter governance technology that balances agility with accountability. This is where organizations like Prolifics step in, helping agencies modernize responsibly and at scale.
Why Governments Need Smarter Governance in 2026 and Beyond
The call for smarter governance has never been louder. In 2026 and the years ahead, three driving forces push governments toward modernization:
1. Rising Citizen Expectations
Citizens expect fast, mobile-friendly, and 24/7 accessible services.
Tasks like renewing licenses or paying taxes online must be seamless.
Without digital governance solutions, governments risk losing public trust.
2. Compliance and Transparency Pressures
Agencies must comply with evolving regulations.
Maintaining audit readiness and fair, data-driven decisions is critical.
Government IT modernization ensures compliance while enabling efficiency.
3. Budget Constraints and Efficiency Needs
Governments must reduce costs while improving service quality.
Only smart government technology powered by AI and cloud can deliver both.
In short, the future of public administration depends on embracing digital transformation that enhances efficiency while building trust.
The Role of AI in Government & Public Sector
AI is no longer experimental in governance; it’s becoming central to agency operations. Here are five impactful applications of AI in public services in 2026 and beyond:
AI for Citizen Engagement
AI chatbots and virtual assistants hosted on cloud platforms revolutionize service delivery.
Citizens no longer wait in long queues or spend hours on hold.
Multilingual support and guided processes create faster, more inclusive access to public services.
Predictive Analytics for Policy & Planning
Cloud-based predictive AI enables smarter urban planning.
Analyzes housing, transportation, and healthcare data to anticipate demand.
Helps city planners forecast traffic, manage energy, and design sustainable growth strategies.
Fraud Detection & Fairness in Systems
AI and cloud help governments detect and prevent welfare fraud.
Real-time anomaly detection ensures benefits reach the right people.
Reduces financial waste and increases transparency.
AI in Smart Cities & Public Safety
Machine learning improves city management through traffic optimization, sensor-based monitoring, and emergency preparedness.
Enhances resource management, citizen safety, and sustainability.
Ethical & Responsible AI
Governments must follow ethical AI guidelines for cloud-based public services.
Ensures decisions are transparent, explainable, and aligned with citizen rights.
Prioritizing responsible AI strengthens public trust.
How Cloud Adoption in Government Enables Smarter Governance
AI cannot scale without a strong digital foundation. Cloud in government provides the flexibility, compliance, and cost savings agencies need to accelerate transformation.
Key benefits of cloud adoption in government:
Scalability for digital services: Quickly scale during peak demand, e.g., tax season or emergency relief programs.
Inter-agency collaboration: Secure shared platforms for departments to exchange data.
Compliance and reporting: Automate compliance checks and audits.
Best practices for migration: Adopt phased migration, prioritize critical workloads, and work with experienced providers.
By combining AI with cloud, governments achieve flexible, resilient, and citizen-focused digital transformation.
Challenges in AI & Cloud Adoption for Public Services
Despite the promise, adoption is not without obstacles. Common challenges include:
Legacy IT systems. Many agencies operate with outdated systems that create high technical debt. Modernizing them is complex and resource intensive. Prolifics addresses this with proprietary accelerators like ADAM (Automated Data Migration) to streamline modernization and reduce risk.
Citizen data privacy. While data analytics in government brings powerful insights, agencies must safeguard information to maintain trust. Prolifics combines deep expertise in AI governance frameworks with secure architectures to ensure compliance while enabling innovation.
Funding & procurement hurdles. Public sector budgets often move slowly, delaying adoption of transformative technologies. Prolifics’ global delivery model and flexible engagement structures help agencies achieve more within constrained budgets.
AI adoption barriers in the public sector. Cultural resistance limited technical expertise, and rigid processes can stall modernization. With strong industry partnerships (IBM, Microsoft, and others) and proven change management approaches, Prolifics helps agencies accelerate adoption and build lasting capability.
Whether it’s deploying generative AI in government workflows or ensuring seamless cloud adoption in government, Prolifics provides end-to-end support to build smarter governance.
Efficiency-Driven Case Study
A U.S. state agency struggling with long delays in citizen inquiries partnered with Prolifics.
Solution: AI-powered chatbot on cloud platforms.
Result: Response times cut by 40%, faster citizen access to services, employees focus on complex cases.
This demonstrates how AI in government and public services delivers measurable efficiency and citizen satisfaction.
Conclusion
The next decade of public sector innovation will be defined by AI and cloud adoption.
From data analytics to AI chatbots improving citizen service delivery, these technologies form the foundation of modern governance.
With Prolifics, agencies can modernize efficiently and responsibly, delivering citizen-first services that last.
Tridiuum, a leading digital behavioral health company, needed to move beyond outdated systems to meet the rising demands of enterprise clients like Kaiser Permanente. Their goals were ambitious:
Modernize aging platforms
Ensure HIPAA-compliant security
Deliver real-time integration and analytics
Scale rapidly to support new features and markets
The Solution
Prolifics partnered with Tridiuum to design and deliver Tridiuum One, a modern, cloud-ready behavioral-medical integration platform.
Built on a service-oriented architecture with configurable workflows
Embedded role-based access controls, encryption, and audit trails
Integrated seamlessly with payer and provider systems for real-time data exchange
Designed clinician- and patient-friendly interfaces to reduce admin work and improve outcomes
Through a blended global delivery model and agile practices, Prolifics ensured cost-efficiency, scalability, and rapid innovation.
The Impact
With Prolifics, Tridiuum achieved:
A successful enterprise rollout, including adoption by Kaiser Permanente
Improved scalability and clinical outcomes
Strengthened compliance and governance
Long-term growth that positioned them for acquisition by New Directions Behavioral Health
Why It Matters
This success story demonstrates that, with the right partner, even highly regulated industries can modernize at scale, reduce costs, and innovate more quickly. Prolifics doesn’t just build technology, we help shape strategy, sustain growth, and unlock business value.
Ready to accelerate your digital transformation?
Let’s discuss how we can help you deliver lasting innovation.
JAM modernization is essential for enterprises running. Legacy JAM apps keep the lights on, but limit cloud adoption, frontend innovation, and release velocity. Prolifics’ Panther suite offers a structured modernization route that retains existing functionality while enabling cloud readiness, modern UI frameworks, and DevOps automation, minimizing risk and maximizing ROI. Many enterprises’ mission-critical operations still depend on legacy JAM applications, JAM5, JAM7, JAM4, and so on. These systems are resilient, tried and tested, but they weren’t built for the cloud, modern front-end frameworks, or today’s agility expectations. That’s where Prolifics’ Panther tool suite comes in: a modernization pathway that preserves value, reduces risk, and unlocks new potential through JAM modernization.
Why Modernization Is No Longer Optional
Evolving User Expectations End users today expect responsive, intuitive web interfaces. They want mobile access, fast load times, integrations with APIs, cloud integrations, and don’t want to see the quirks of old client/server systems. Legacy JAM often struggles here. Migrating to Panther Web modernization enables modern UIs and fresh UX without losing core logic.
Shifting Infrastructure & Platform Requirements Old OS compatibility is becoming a liability. Want to run on Windows 10, Linux, or deploy into containers (OpenShift, Kubernetes)? JAM has its place, but Panther is designed for modern platforms and infrastructures. Your apps can live on where you need them—be it cloud, hybrid, or on-prem—with better deployment, management, and legacy system cloud migration flexibility.
Cost, Risk, & Skill Gaps Maintaining legacy systems often consumes disproportionate resources, special-skill labor, patching, OS compatibility, and troubleshooting. On the other hand, Panther reduces friction: it offers tools like the JAM upgrade utility, Panther Web Debugger, and plugin integrations (e.g., with Eclipse) so your existing assets do more, rather than starting from scratch.
Future-proofing Your Business Technologies evolve. To stay competitive, businesses must be able to adapt to new device types (IoT), integrations, cloud services, regulatory or security demands. Modernizing through Panther ensures your applications are built on foundations that can grow, evolve, and scale.
What Prolifics / Panther Offers
Here’s what makes the Panther modernization path compelling:
Comprehensive Tool Suite: The Panther tools are designed for component-based development, they support both client/server and n-tier web apps. This means whether you want to maintain existing JAM apps, extend them, or build new modules, you have the tools.
Seamless Integration with Legacy: Panther isn’t about discarding what you have, it lets you re-use proven core modules, libraries, logic, operations, and data flows. Through tools like the JAM upgrade utility, your old JAM files can be converted or adapted to Panther-compatible formats.
Modern Dev Tooling: Enhanced debugging (Panther Web Debugger + “JPL stack” tab), Eclipse plugin for editing JPL, HTML, JavaScript, all of which help developer productivity, reduce errors, and accelerate delivery.
Support & Documentation: Full support for JAM4 JAM5 JAM7 modernization; detailed documentation, trial licenses, helpdesk, and modernization whitepapers. If something goes sideways, you’re not alone.
Choose the Right Modernization Path
Every business’s situation is different. Prolifics outlines three possible paths:
Reuse: Keep most of what you have; rehost on modern OS, update integrations, adjust UI. Minimal disruption, lower risk, faster time to value.
Rewrite / Extend: Build fresh components where needed, modern frontend, possibly new business logic, while maintaining core JAM-based capabilities. A hybrid approach.
Replace / Full Migration: Move fully to Panther Web modernization architecture. Take advantage of cloud, containers, microservices, etc. Highest upfront effort but highest long-term agility and ROI.
Prolifics helps with all these paths, with assessments, tools, and trial editions of Panther (e.g., version 5.60) so you can pilot before you commit.
Success Stories & Tangible Benefits
To see the difference: when organizations completed JAM application upgrade projects and migrated JAM applications from Solaris to Red Hat using Panther, they gained improved performance and future scalability. Support for modern operating systems, better manageability, lower licensing or platform maintenance costs.
Also, maintaining mission-critical applications using newer paradigms means fewer “tech debt emergencies,” fewer resource constraints, and more time to innovate rather than troubleshoot.
What’s New: Innovations That Help
Panther/Web Debugger: With new tabs and better stack visibility, debugging modernized applications is dramatically simpler.
JPL Plugin for Eclipse: Developers familiar with Eclipse can edit JPL, HTML, JavaScript, etc., directly, even as they migrate or build hybrid modules. Reduces learning curve.
Improved Documentation & Trial Licensing: Try before committing. Explore features, evaluate fit.
Your Path Forward
If you’re running on legacy JAM applications, here are the steps to take:
Assessment: Audit your existing JAM apps, where are they used, what dependencies, what parts of the system are bottlenecks or fragile?
Define Goals: Are you aiming for UI modernization? Cloud deployment? Scalability? Cost savings? Choose your Panther modernization path accordingly.
Pilot / Proof of Concept: Use the trial version of Panther, test small slices of functionality, test migration, performance, UX, and integrations.
Plan & Execute Migration: Map dependencies, assemble your modernization roadmap. Apply Panther tools like the debugger, Eclipse plugin, and JAM upgrade utility. Set up DevOps practices, containerization, or cloud infrastructure as needed.
Continuous Improvement: After migration, continue optimizing, monitoring usage, collecting user feedback, and iterating. Modernization isn’t one-and-done; it’s an ongoing commitment.
Conclusion
Your legacy JAM systems have served faithfully, but now they can be obstacles to future growth. The Prolifics Panther suite offers a carefully engineered modernization journey: one that lets you retain what works, improve what needs to change, and harness new technologies that unleash innovation.
If you want to reduce cost, improve agility, unlock modern UI/UX, deploy on modern OS or cloud environments, or simply avoid getting caught in tech debt, JAM modernization isn’t just beneficial—it’s essential. Get in touch, try Panther, and begin the journey from JAM to Panther migration and legacy to leadership.
ORLANDO, Florida., September 19, 2025: When every second counts, your service desk can’t afford swivel-chair searches or guesswork routing. IBM® Maximo IT 9.1, now enhanced with AI-native assistance, puts intelligence at the core of incident management, recommending owners, surfacing similar tickets and fixes, and speeding resolution from the very first touch. This represents a significant step forward in AI Maximo Integration for enterprise IT teams.
What’s New and Why It Matters
The new Maximo AI Service integrates Maximo IT with watsonx™ large language models, powering advanced capabilities such as ticket assignment recommendations, solution suggestions, and “find-similar” insights across historical data. Running Granite™ foundation models (including Granite 20B Multilingual and Granite 13B) in the cloud, the service delivers IT Service Management AI solutions without forcing teams to reinvent their stack.
As of August 1, 2025, Maximo AI Service 9.1 replaces AI Broker, supporting MAS 9.0 and 9.1 deployments.
Tangible Outcomes for IT Teams
Smarter triage: Smarter triage: AI proposes the best owner and category in seconds, enabling Smart Ticket Recommendations.
Faster fixes: Agents instantly see likely solutions and related incidents.
Happier teams: SREs and managers spot automation opportunities.
Consistency at scale: Models adapt continuously to real-world tickets.
How It Works (Simplified)
Connect Maximo IT to AI Service – Securely authenticate and configure system properties to enable AI Maximo Integration.
Configure Models – Use Multi-Class Classification (MCC) and Similarity Models to align with workflows.
Train with Data – Feed historical tickets to deliver context-aware predictions powered by watsonx Maximo IT.
Admins may also leverage CLI-driven deployments for streamlined environments.
Inside Maximo AI Service
AI Integration Hub – Manages configuration, training, health checks, and inference routing for IT Service Management AI.
Granite Models on watsonx – Enterprise-grade LLMs deliver robust recommendations without manual model management.
MAS-Wide Unlocks – – Extend AI-driven recommendations across problem codes and work orders.
Why Prolifics
As a long-standing IBM partner, Prolifics bridges Maximo and watsonx to deliver real business value:
Blueprint to Value – Build AI-ready taxonomies to accelerate MCC and similarity model performance.
Secure-by-Design Enablement – Align connectivity and governance from day one.
Pilot to Production – Curate training sets, refine thresholds, and optimize UX for adoption.
Scalable Roadmap – Expand to conversational assistants and guided ticketing for self-service, further enhancing IT Service Management AI capabilities.
Build a future-ready trust management platform on Salesforce
Wealth Hub set out to achieve something no one else had done before: create the first ever Salesforce native trust management system. Their vision was ambitious and time sensitive, with the need to unify fiduciary workflows, bring together complex data, and ensure full compliance with regulations, all while moving quickly to capture first mover advantage.
The challenge was steep. Fiduciary operations demand a balance of speed, accuracy, and control, and Wealth Hub faced fragmented data, specialized workflows, and limited in-house delivery capacity. They needed an experienced partner who could design a scalable architecture, accelerate development, and guide the journey with the right governance and expertise.
That’s where Prolifics came in. We partnered with Wealth Hub to design and deliver a Salesforce solution that blended out-of-the-box functionality with trust-specific customizations. Our teams created objects and workflows for trusts, clients, accounts, and legal provisions, ensuring everything was unified into a single view. Dashboards, documents, and approval workflows were built for compliance, while QA and security measures safeguarded every step.
Through a hybrid global delivery model, we ensured speed and efficiency. Iterative releases meant Wealth Hub could validate and refine early, while transparent governance provided confidence at every milestone. By the end, Wealth Hub wasn’t just deploying a system; they were entering the market with a competitive edge and the scalability to support future growth.
The results were transformative. Wealth Hub launched the industry’s first Salesforce native trust administration platform, reducing operational risk, meeting compliance needs, and securing a leadership position. Prolifics became more than an implementation partner; we became a strategic collaborator helping Wealth Hub move faster, scale smarter, and innovate with confidence.
Ready to explore how your organization can unify fiduciary workflows, strengthen compliance, and accelerate innovation on Salesforce? Let’s start the conversation.
Bengaluru — 23 September 2025 — Prolifics, a global digital transformation leader with four decades of innovation, today announced the acquisition of Castaliaz Technologies Pvt. Ltd., a premier SAP Gold Partner with delivery centers in Mumbai and Bengaluru. The deal significantly accelerates Prolifics’ SAP growth ambitions, uniting deep SAP S/4HANA expertise, certified delivery operations, and proven industry accelerators into a single, full-scale partner for end-to-end SAP transformation and managed services worldwide.
What the acquisition delivers, at a glance
Scale on day one: 140+ SAP specialists; 30+ S/4HANA transformations; 60+ maintenance engagements.
Certified excellence: Long-standing SAP credentials, including S/4HANA solution certifications.
Speed to value: Industry accelerators, Castalife (Pharma), Castachem (Chemicals), Castashine (Jewellery), plus barcode integration, gate entry automation, and digital compliance add-ons.
Global delivery, local strength: Indian CoEs connected to Prolifics’ client base across North America, Europe, and the Middle East.
AI-ready estates: Combined strengths in AI, data engineering, governance, and quality assurance to modernize and operate SAP securely at scale.
Satya Bolli, Managing Director, Prolifics, said:
“Prolifics has guided enterprises through the most complex phases of technology evolution. Castaliaz strengthens our ability to deliver SAP programs at scale, embedding our AI-powered testing frameworks across the full SAP lifecycle. This acquisition aligns seamlessly with our expansion plans in the Indian market.”
Ivan Noronha, Co-founder & Director, Castaliaz, added:
“Castaliaz was founded on the belief that businesses shouldn’t just run SAP, they should thrive on it. As part of Prolifics, we’ll help customers modernize faster, from SAP ECC to S/4HANA, on to SAP Cloud ERP (Private and Public) and the SAP Business Technology Platform, all backed by certified delivery. We’re scaling globally while maintaining delivery excellence in India to unlock transformative value.”
India-first impact with global reach
Indian enterprises gain a stronger, certified partner to accelerate RISE with SAP and S/4HANA journeys, greenfield, brownfield, or hybrid. The merged team embeds India-specific digital compliance, including GST, e-Invoicing, and e-Way Bill, directly into core SAP processes. Operations-intensive industries such as life sciences, retail, and manufacturing benefit from fully digitized shop-floor solutions (MES, LIMS), validated processes for packaging, labeling, and stability studies, plus pervasive barcoding for traceability, throughput, quality, and audit-readiness.
End-to-end SAP lifecycle—delivered
With Castaliaz’s delivery strengths and Prolifics’ leadership in AI, Data & Analytics, integration, automation, and testing, clients get a single strategic partner for:
Advisory & implementation (ECC to S/4HANA, RISE with SAP)
BTP innovations and ecosystem integration
Managed services & continuous improvement with measurable business outcomes
Governed, secure, AI-ready SAP landscapes aligned to Industry 4.0
About Prolifics
Prolifics, founded in 1978, is a global digital engineering and technology consulting firm that helps businesses with their digital transformation journeys, specializing in areas like Data & AI, cloud, integration, automation, and testing. Today, the company supports clients across four core industries – Healthcare & Life Sciences, Banking and Financial Services, Retail and Manufacturing, and Energy & Utilities. With more than 2,000 professionals across 10 strategic locations, Prolifics delivers tailored solutions in areas such as AI/ML, MLOps, real-time analytics, intelligent automation, hybrid cloud platforms, and next-gen enterprise modernization. In the recent past, the company’s strategic acquisitions in Data Analytics and Salesforce in North America, together with Red Hat and Testing excellence in the UK, have significantly strengthened its expertise in analytics, quality engineering, open-source modernization, and Salesforce.
About Castaliaz
Castaliaz, founded in 2008 and headquartered in Mumbai, has long been recognized for its ability to deliver complex, business-critical SAP programs for both mid-market and large enterprises. With end-to-end lifecycle services including RISE with SAP, cloud hosting, BTP implementations, and SAP Digital Compliance, Castaliaz has served more than 50+ clients across industries. Signature projects include S/4HANA transformation for a Large Pharmaceuticals company and digital transformation from ECC-to-S/4HANA for Large Winery company in Nashik, India, underscoring its strength in delivering results in high-stakes environments.
Global energy demand is rising by nearly 3% every year (IEA), creating an urgent need for innovation across utilities and energy providers. The challenges are clear: reduce costs, integrate renewable energy, improve reliability, and achieve sustainability goals—all at once.
Traditional electricity grids were not built for this reality. They are rigid, centralized, and often inefficient, leading to wasted power and high operating expenses. This is where the AI smart grid solutions revolution begins.
By embedding artificial intelligence in energy systems, utilities can transform outdated grids into intelligent, data-driven networks. These AI smart grid solutions deliver smarter forecasting, predictive maintenance smart grid capabilities, fraud detection, and seamless smart grid optimization with renewable energy integration.
The result? Up to 30% energy cost reduction, stronger AI power grid stability, and more affordable, reliable energy for businesses and communities.
At Prolifics, we specialize in deploying AI smart grid solutions at scale—helping utilities modernize through automation, energy grid optimization, predictive modelling, and cloud-native platforms. Our expertise positions clients as leaders in the future of sustainable energy.
What Is a Smart Grid and Why It Matters in 2025
So, what is a smart grid?
A smart grid is a modernized electricity network that combines digital communication, sensors, advanced metering infrastructure (AMI), and AI-driven controls to deliver more resilient and efficient energy. Unlike traditional grids, which are one-way and inflexible, smart grid technologies allow for two-way data exchange between utilities and consumers.
Key differences include:
Traditional grids rely on static scheduling and manual adjustments.
Smart grids use AI power grid stability algorithms, real-time monitoring, and machine learning energy demand forecasting to dynamically balance supply and demand.
In 2025, smart grids will no longer be optional; they are foundational to the future of energy. With increasing electrification of transport, renewable generation, and urban growth, smart grid solutions are the only way to scale sustainably.
4 Ways AI Optimizes Smart Grids
1. Demand Forecasting & Load Balancing
One of the biggest challenges for utilities is predicting when and where demand will spike. Traditional forecasting is based on historical averages, which often miss real-world fluctuations.
AI changes this. With machine learning energy demand models, utilities can analyze smart meter data, weather forecasts, and even social events. This allows them to optimize generation and distribution in real time, avoiding costly over-generation or sudden shortages.
Result: improved efficiency, fewer blackouts, and greater energy grid optimization.
2. Predictive Maintenance to Prevent Failures
Unplanned outages are costly and disruptive. Traditional maintenance cycles often either over-service equipment or miss hidden issues.
With predictive maintenance smart grid solutions, AI continuously analyzes equipment data, transformers, lines, and substations, and flags anomalies before failures happen. Machine learning models can achieve over 90% accuracy in predicting equipment failures.
This reduces downtime, cuts emergency repair costs, and extends asset life, contributing significantly to the 30% savings.
3. AI for Energy Theft & Fraud Detection
Globally, energy theft and fraud cost utilities billions of dollars annually. Manual or rule-based systems struggle to detect complex fraudulent patterns.
AI provides a solution. With anomaly detection, AI can spot unusual consumption behaviors that indicate theft or meter tampering. These AI smart grid solutions protect revenue streams and ensure fair usage.
4. Integration of Renewables with Smarter Distribution
The rise of renewables introduces variability into the grid. Solar and wind power can’t be generated 24/7, making it difficult for utilities to plan their supply.
AI provides stability by forecasting renewable availability and dynamically routing electricity. With AI for renewable energy, utilities can maximize renewable integration, reduce curtailment (wasted green power), and ensure smooth smart grid integration across diverse sources.
This makes the grid greener while supporting affordable and reliable energy for end users.
How AI Cuts Energy Costs by 30%
The combination of smart grid optimization and artificial intelligence in energy systems translates into measurable savings:
Forecasting improvements→ reduce waste and optimize storage.
Predictive maintenance smart grid→ fewer outages and lower repair costs.
Energy grid optimization→ reduces transmission losses.
AI for renewable energy → lowers dependence on expensive fossil peak power.
Juniper Research predicts global smart grid energy savings will exceed US$125 billion annually by 2027, with exponential growth toward 2030. This positions AI as a cornerstone of the future of energy.
Challenges in Deploying AI in Smart Grids
Adoption, however, is not without hurdles:
Legacy infrastructure: Many utilities still rely on outdated systems not built for digital or AI-enabled operations.
Customer satisfaction and reliability scores improved.
This demonstrates how AI doesn’t just cut costs; it transforms the customer experience and builds trust.
Key Takeaways
The future of energy depends on building smarter, cleaner, and more affordable systems. By integrating AI smart grid technologies, utilities can achieve smart grid optimization, strengthen AI power grid stability, and unlock up to 30% energy cost reduction.
The payoff isn’t just financial; it’s delivering affordable and reliable energy to communities while accelerating the clean energy transition.
Get started with Prolifics today and modernize your smart grid with the power of artificial intelligence in energy.
