Technology
Ransomware Protection Solutions Market to Grow at Double-Digit CAGR, Reaching USD 51.71 Billion by 2031 | Valuates Reports
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1 year agoon
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Ransomware Protection Market is Segmented by Type (Cloud-based, On-Premise), by Application (Small and Midsize Organizations, Large Enterprises).
BANGALORE, India, April 21, 2025 /PRNewswire/ — The Ransomware Protection Market was valued at USD 21830 Million in the year 2024 and is projected to reach a revised size of USD 51710 Million by 2031, growing at a CAGR of 13.3% during the forecast period.
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Major Factors Driving the Growth of Ransomware Protection Market:
The ransomware protection market has shifted from niche add‑on to core operational necessity, blending prevention, detection, isolation, and rapid recovery in unified platforms consumed as cloud services, appliances, or MSSP offerings. As attacks rise in sophistication and impact, purchasing authority has climbed from IT managers to executive committees, securing budgets and driving a double‑digit CAGR. Differentiation now centres on immutable‑snapshot efficiency, zero‑trust integration, and automated orchestration that restores business processes within defined service levels. Vendor ecosystems increasingly align with cyber‑insurers, auditors, and channel partners, embedding protection into risk‑management workflows. With regulatory scrutiny tightening and hybrid work normalised, demand for ransomware‑defence solutions is set to outpace security spending throughout the decade.
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TRENDS INFLUENCING THE GROWTH OF THE RANSOMWARE PROTECTION MARKET:
Cloud‑based ransomware protection platforms are propelling market expansion by delivering enterprise‑grade security without capital expenditure or maintenance burdens. Multi‑tenant architectures spread cost across thousands of customers, so even small IT teams gain instant access to behavioural analytics, sandbox detonation, immutable cloud backups, and forensic automation. Continuous streaming of threat intelligence into shared models improves detection fidelity in near real time, shrinking attacker dwell time from days to minutes and speeding automated quarantines. API‑driven onboarding connects endpoints, SaaS applications, and hybrid workloads within hours, accelerating adoption cycles. Subscription pricing converts capital outlays into predictable operating expenses, matching CFO budgeting preferences. As organisations migrate workloads to public clouds, aligning security controls with architectures becomes non‑negotiable, driving sustained demand for cloud‑native ransomware defences.
On‑premise ransomware protection solutions continue to underwrite market growth by satisfying data sovereignty, ultra‑low‑latency, and regulatory audit requirements cloud deployments cannot always meet. Integrated appliances consolidate air‑gapped backup, machine‑learning intrusion detection, hardware‑assisted encryption, and immutable snapshots within a single rack, enabling rapid isolation of malicious processes while preserving operational technology networks. Local execution avoids cloud egress charges for petabyte‑scale file stores and delivers performance critical to healthcare imaging, trading systems, and semiconductor fabs. Seamless APIs plug into SIEM and SOAR frameworks, leveraging existing capital investments and staff expertise. Vendors now bundle “clean‑room” recovery orchestration, allowing instant failover to standby clusters during incidents. As zero‑trust mandates sweep critical infrastructure, controlled gateways remain indispensable, ensuring steady demand for on‑premise ransomware protection platforms.
Small and midsize organisations are emerging as a pivotal demand engine for ransomware protection vendors because they face enterprise‑grade threats without equivalent in‑house expertise. Turnkey endpoint‑plus‑backup bundles with guided remediation workflows transform complex security operations into manageable dashboards, empowering lean IT teams to prevent, detect, and recover. Cyber‑insurance carriers increasingly require documented controls, forcing SMEs to deploy multilayered defences to qualify for premiums. Subscription pricing, distributor leasing, and managed security service provider offerings lower upfront barriers, while automated policy templates assure compliance with ISO 27001 and SOC 2. Because ransomware downtime can threaten survival, board‑level risk appetite converts into orders, translating awareness into revenue. This segment therefore underwrites sustained, high‑volume growth across the ransomware protection market, satisfying business continuity requirements.
Ransomware groups have evolved from simple encryption to multi‑stage campaigns involving credential theft, lateral movement, and double‑extortion data leaks. Human‑operated toolkits such as Cobalt Strike, Mimikatz, and living‑off‑the‑land binaries bypass signature‑based defenses and exploit unpatched services with hands‑on‑keyboard precision. Ransomware‑as‑a‑Service portals lower technical barriers, swelling the pool of threat actors and increasing attack frequency. Privacy‑centric cryptocurrencies reduce traceability, emboldening criminals to demand record‑high ransoms. High‑profile breaches in healthcare, pipelines, and city councils demonstrate catastrophic impact, compelling boards to prioritise dedicated budgets. This relentless tactical evolution guarantees continuous demand for layered, adaptive, and rapidly updated defence platforms capable of countering emerging adversarial techniques globally.
The shift to hybrid and remote work has scattered corporate assets across home offices and public networks, dramatically broadening the attack surface. Employees access sensitive data over consumer routers and unmanaged personal devices while VPN concentrators strain under peak loads, encouraging risky split‑tunnelling shortcuts. Phishing lures tailored to remote staff exploit isolation and deliver ransomware via weaponised documents and collaboration‑tool macros. As distributed work becomes permanent, CISOs deploy endpoint detection, identity federation, and zero‑trust segmentation that travel with the user, not the building. Investment in cloud‑managed protection suites enforcing consistent policy across heterogeneous devices therefore grows inexorably, turning remote work into a structural driver of sustained market demand.
Stringent data‑protection statutes such as GDPR, HIPAA, CCPA, and the proposed EU NIS2 directive threaten crippling fines, personal liability, and class‑action lawsuits for breaches involving sensitive data. Tight notification windows force organisations to maintain continuous breach visibility and immutable evidence. Ransomware, which blends data exfiltration with operational disruption, sits squarely in regulators’ sights. Boards allocate compliance budgets to purpose‑built defences that include automated reporting, chain‑of‑custody retention, and forensic logging. Insurers tighten underwriting criteria around backup immutability and privilege‑access management, effectively mandating investment. Regulatory escalation converts legal exposure into concrete buying decisions, enlarging the addressable market via harmonised expectations.
Soaring cyber‑insurance premiums have prompted stringent security prerequisites. Insurers now demand proof of immutable off‑site backups, multifactor authentication, and continuous monitoring before issuing or renewing policies. Organisations adopt ransomware‑specific protection suites to reduce incident probability and satisfy questionnaires for favourable deductibles. Vendors collaborate with insurers to provide dashboards mapping controls directly to underwriting criteria, streamlining audits. As premiums remain volatile, investment in proven defences hedges against escalating insurance costs, reinforcing recurring demand for protection platforms aligned with evolving actuarial models globally.
For manufacturing, logistics, and healthcare, each hour of downtime means lost production, missed shipments, or compromised patient care. Incidents can trigger contractual penalties and reputational damage far exceeding ransom demands. Organisations now embed recovery time objectives into board‑level KPIs, procuring solutions that detect threats and instantly fail over to isolated clean environments. Immutable snapshots, continuous data‑protection journaling, and orchestrated restore workflows bring applications back within minutes. Some vendors even guarantee recovery windows underwritten by financial penalties. As ransomware shifts from IT nuisance to existential operational threat, business‑continuity‑centric strategies accelerate across global supply chains, anchoring market growth.
Cryptocurrencies‘ anonymity and borderless nature facilitate ransom collection, cementing ransomware as a profitable criminal enterprise. Mixing services, privacy coins, and decentralised exchanges allow actors to launder proceeds with minimal risk, fuelling an upward spiral in attack volume. Regulators debate wallet‑level sanctions, yet payment pressure persists. Proactive investment in hardened endpoints, least‑privilege controls, and immutable backups becomes a cost‑effective alternative to paying ransoms. Vendors integrate blockchain analytics to flag early negotiation indicators. Insurance brokers increasingly exclude payouts through obfuscated crypto channels, intensifying urgency even further; the robustness of illicit infrastructure consequently sustains growth in preventative and recovery‑focused protection spending.
Most small enterprises lack 24×7 security operations centres, so they outsource detection and response to managed security service providers. MSSPs aggregate clients onto shared threat‑intelligence feeds, lowering per‑seat pricing and democratising advanced capabilities. Vendors build multi‑tenant consoles, white‑label reporting, and flexible licensing for resellers, accelerating reach without direct sales overhead. Distributor‑led training certifies partners in rapid deployment and remediation, shortening adoption timelines. Compliance frameworks requiring continuous monitoring position MSSPs as turnkey pathways to meet mandates, boosting partner‑driven revenues. This virtuous cycle between solution providers and service channels reinforces growth in underserved mid‑market segments where expertise remains scarce.
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RANSOMWARE PROTECTION MARKET SHARE
North America commands the largest share of spending thanks to early cloud adoption, stringent breach‑reporting laws, and frequent high‑value incidents.
Europe follows as GDPR fines and sectoral directives anchor consistent investment across finance, healthcare, and manufacturing. Asia–Pacific records the fastest growth, where rapid digitalisation outpaces security maturity and government cyber‑resilience programmes spur adoption among enterprises and SMEs alike.
The major global companies of Ransomware Protection include McAfee, LLC, AO Kaspersky Lab, Bitdefender, FireEye, Inc., Malwarebytes, SentinelOne, Sophos Ltd., Symantec Corporation, Trend Micro Incorporated, Zscaler, Inc, etc.
Key Companies:
McAfee IncAO Kaspersky LabBitdefenderFireEyeMalwarebytesSentinelOneSophos Ltd.Symantec CorporationTrend Micro IncorporatedZscaler
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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!
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Compunnel Unveils State-of-the-Art Noida Office: A Strategic Milestone in AI-Led Transformation and Innovation Ecosystem
Published
29 minutes agoon
May 5, 2026By
New flagship facility positions India center as AI innovation powerhouse; signals strategic shift to agentic AI across all business operations
NOIDA, India, May 5, 2026 /PRNewswire/ — Compunnel today unveiled its new state-of-the-art office in Noida Sector 142, covering over 1,35,000 sq ft of built-up area, marking a transformative milestone in the company’s strategic repositioning as an AI-led transformation company. More than a facility expansion, this launch represents Compunnel’s evolution from a trusted consulting and technology services provider into a comprehensive AI-native enterprise partner – leveraging agentic AI approaches across intelligent workforce solutions, digital transformation, and cybersecurity services for global enterprises.
The cutting-edge workspace featuring an on-site gym, modern cafeteria, advanced digital infrastructure, air quality control systems, and innovative design – is engineered to attract and nurture world-class talent while serving as an AI innovation hub. The facility will also house InfoPro Learning, a leader in corporate learning solutions, strengthening the collaborative ecosystem for talent development and enterprise training excellence.
A STRATEGIC INFLECTION POINT FOR GROWTH AND DIVERSIFICATION
Compunnel’s strategic shift towards AI-led operations is fundamentally reshaping how the company serves enterprises and positions itself for exponential growth:
Intelligent Workforce Solutions Reimagined: Compunnel’s strategic investment in Eximius – an agentic AI hiring platform – exemplifies the company’s shift towards autonomous intelligence in talent acquisition. By leveraging AI agents that autonomously match talent, predict hiring needs, and accelerate placements, Compunnel is positioned to significantly advance its #48 ranking among the Top 50 Staffing Firms in the USA. Complementing this, OneGuru – Infopro Learning’s agentic platform for the complete ‘hire to retire’ employment lifecycle, establishes the company as a formidable contender in the HCMS/HRIS market, delivering AI-driven workforce management from onboarding to succession planning.
Security, Risk, and Transformation Solutions: In an era where AI-powered threats evolve faster than traditional defenses, Compunnel is embedding living intelligence into enterprise security frameworks. The company’s modern approach helps organizations transform into a more mature, resilient, and risk-reduced state by leveraging advanced workflows to predict risks, proactively dismantle threats, and turn security from a cost center into a competitive advantage. This is complemented by strong capabilities across privacy and compliance-driven risk management, enabling organizations to protect sensitive data, meet regulatory requirements, and strengthen enterprise-wide governance and risk posture.
Digital Transformation Architected for AI-First Operations: Compunnel Digital is an AI-native digital engineering group built for the enterprises redefining what’s possible in Financial Services, Healthcare & Life Sciences, Consumer, Retail, and Manufacturing. It doesn’t layer AI onto legacy workflows – it architects intelligent systems from the ground up. Powered by Compunnel AI-OS, the company’s AI-first platform, Compunnel designs digital ecosystems where autonomous agents accelerate delivery, data fabrics power real-time decisions, and machine intelligence works alongside human expertise – turning disruption into competitive advantage.
LEADERSHIP VISION: TECHNOLOGY, TALENT, TRAINING, AND TRANSFORMATION
“Technology – and specifically agentic AI – is the backbone of everything we do at Compunnel. This new center amplifies that engine, bringing together AI innovation, advanced analytics, and our growing portfolio of AI-driven companies under one roof,” said Andy Gaur, CEO of Compunnel. “From Eximius transforming how we staff enterprises, to OneGuru revolutionizing HCMS, to incubating the next generation of AI startups – this workplace represents our commitment to leading, not following, the AI transformation. As we serve enterprise clients globally, this is where breakthrough thinking meets breakthrough execution.”
“For technology and business professionals, the new facility represents more than a workplace. It’s a launchpad for career acceleration. The Noida office will serve as a center for talent development, offering opportunities to work on global projects spanning talent solutions, cloud modernization, data and AI, cybersecurity, and digital engineering for Fortune enterprises across sectors such as banking, healthcare, manufacturing, insurance, government, and more,” said Rakesh Shah, President of Compunnel.
ABOUT COMPUNNEL
Founded in 1994, Compunnel delivers AI-driven workforce solutions, digital transformation, and cybersecurity services to global enterprises. With 30+ delivery centers across the U.S. and global R&D hubs in Canada, Europe, and India, Compunnel serves 23% of Fortune enterprises. Ranked #48 on SIA’s Largest Staffing Firms in the United States and recognized 12 times on the Inc. 5000 list, Compunnel combines deep domain expertise with intelligent automation to accelerate enterprise velocity and build future-ready operations. Learn more at www.compunnel.com.
ABOUT INFOPRO LEARNING
An offshoot of Compunnel, Infopro Learning is a global learning solutions partner that helps organizations transform their workforce development from strategy to scale. For 30 years, they have partnered with the world’s largest and most reputable companies, delivering Managed Learning Services, Leadership Development, Strategic Advisory, and Content Development solutions. Leveraging AI-driven innovation, they help organizations deliver greater impact while optimizing costs. Learn more at www.infoprolearning.com.
ABOUT ONEGURU
OneGuru is an AI-powered talent development platform that improves employee performance by taking learning out of the classroom and into the flow of work. Every employee will get access to a dedicated AI-Agent, equipped with insight from the world’s greatest coaches and the data that drives your business and people forward (HRIS, Performance, LMS). Unlike most agents, OneGuru is designed to be proactive, nudging your team to build their skills, build their careers, and build your business. Learn more at https://oneguru.ai/.
Media Contact:
Email: pr@compunnel.com
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SUPCON Showcases the Path to Autonomous Operations with Software-defined Controls, Large Industrial AI models and Agentic AI Platforms at Hannover Messe 2026
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29 minutes agoon
May 5, 2026By
HANNOVER, Germany, May 5, 2026 /CNW/ — At Hannover Messe 2026, SUPCON (688777.SH, SUPCON.SW), a global leader in industrial automation and AI, demonstrated how the process industry can move beyond simple data analysis to real-time and autonomous execution. By unveiling its latest advancements in Agentic AI and software-defined automation, SUPCON provided a tangible roadmap for the transition to fully autonomous operating plants.
A central theme of the showcase was bridging the industry’s “execution gap”. While many plants generate vast amounts of data, the challenge remains in acting on that data in a timely, reliable manner. SUPCON’s integrated solution featuring the Universal Control System (UCS), Time-series Pre-trained Transformer (TPT2), and UNS-based IIOT Data Platform (Tier0), enables industrial plants to not only analyze information but to execute closed-loop optimization in real time.
“Industrial AI has reached a critical turning point. It is no longer just about generating insights, but about embedding them within closed-loop controls to achieve peak performance,” said Kenneth Lim, Director of Strategy and Marketing at SUPCON International Business. “Our role is to provide the industry with an open, reliable foundation that allows our customers to scale at their own pace, ensuring that today’s investments remain future-proof for decades of innovation ahead.”
Technical Keynote Highlights: The Path to Autonomous Operating Plants
Through a series of technical keynote sessions, SUPCON reframed autonomy not as a single hardware upgrade, but as a strategic operating model designed to empower the modern workforce.
Real-time Field Intelligence (Smart Field Instrumentation & Ethernet-APL): Moving beyond legacy protocols like HART, SUPCON showcased how Ethernet-APL brings high-speed connectivity directly to the field, turning passive instruments into active sources of real-time intelligence.Building the Unified Namespace (Tier0): To eliminate the “integration tax,” SUPCON introduced Tier0, a UNS-based platform using MQTT pub/sub and semantic structures to create a shared, event-driven data layer that prevents vendor lock-in and unifies fragmented systems.Agentic Application Development (AppBuilder): The Tier0 AppBuilder demonstrated how factory teams can build industrial applications up to 10x faster using natural language and domain-aware agents, moving from costly customization to rapid, user-centric creation.The Autonomous Workforce (Robotics & AI): By utilizing autonomous robots as “mobile sensors” for hazardous tasks like leak detection, SUPCON proved that technology isn’t about replacing humans, but about liberating engineers for high-value creative problem-solving and strategic oversight.Software-Defined Controls: The Universal Control System (UCS) represents a new era of efficiency. By revolutionizing traditional controls architecture, it reduces physical footprints and cabling by up to 90%, directly helping partners meet carbon neutrality goals without sacrificing productivity.Time-Series Pre-Trained Transformers (TPT): Unlike standard Large Language Models, the TPT is purpose-built for industrial time-series data. It consolidates fragmented use cases like equipment health forecasting and bottleneck analysis into a single AI layer for faster scaling.Autonomous Operating Plants (AOP): SUPCON framed “Zero-Touch Operations” not as a single hardware upgrade, but as a total strategic transformation. Addressing the “hidden” barriers of fragmented data and multi-OEM complexity, Autonomous Operating Plants (AOP) are achievable when open architectures and next-generation control systems are designed as a unified foundation from the outset.Self-Optimizing Plants via Closed-Loop AIO: SUPCON introduced Artificial Intelligence Optimization (AIO) as a revolutionary step beyond traditional DCS and APC systems. By enabling AI to learn from real-time plant data and feed optimized decisions back into control systems autonomously. This closed-loop approach serves as a practical pathway for manufacturers to optimize throughput, energy, and safety simultaneously without manual intervention.
A Partner in Industrial Evolution
By connecting smart field instrumentation, open data platforms, and software-defined control, SUPCON is providing the industry with a practical blueprint for safer, more resilient, and self-optimizing plants. The vision presented at Hannover Messe 2026 establishes that autonomous operations are achievable today when open architectures and next-generation intelligence are designed as a unified foundation.
Resources & Media
Resource Hub & Presentations: global.supcon.com/events/hannover-messe-2026Highlights Video: View on YouTubeNext Event: Join us at Gastech 2026 | 14–17 September 2026 | Bangkok, Thailand
About SUPCON
SUPCON (688777.SH, SUPCON.SW) is a global provider of industrial automation and industrial AI, offering control systems, digital platforms, robotics, and software solutions that power the world’s process and energy industries. Headquartered in Hangzhou, China, with the SUPCON Internal Business Headquarters in Singapore and the regional hubs around the globe, SUPCON is well-positioned to elevate industrial intelligence and drive customer success. Trusted by more than 250 leading enterprises and 39,000+ customers worldwide across major process industries such as oil & gas, chemical and petrochemical, as well as other industries such as power, pulp and paper, building materials, and more, SUPCON is driving the evolution from automation to autonomy–enabling safer, smarter, and more sustainable industrial operations.
For more information, please visit https://global.supcon.com/
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Technology
PwC and OpenAI Build a First-of-Its-Kind OpenAI Native Finance Function
Published
29 minutes agoon
May 5, 2026By
The collaboration aims to help redefine the future of finance by combining agentic AI with human supervision, enabling finance teams to govern, improve, and scale AI agents over time.
NEW YORK, May 5, 2026 /PRNewswire/ — PwC today announced an expanded collaboration with OpenAI to help create the first of its kind AI native finance function at enterprise scale, combining agentic AI with human supervision to reshape how finance work gets done.
Together, PwC and OpenAI are building AI agents around the core operating rhythms of finance, from planning, forecasting, and reporting to procurement, payments, treasury, tax, and the accounting close. What sets this collaboration apart is its focus on building in the real world, not just designing in theory. For example, PwC and OpenAI are building a procurement agent inside the OpenAI finance organization, and are applying those learnings to additional agents across core finance workflows. That hands-on model is intended to speed innovation, prove the value of an AI native finance function in practice at OpenAI, and continuously improve the offering based on learnings.
Powered by OpenAI native finance capabilities and PwC’s deep expertise in finance, risk, and transformation, the collaboration is intended to move finance beyond task automation toward an operating model where AI agents can execute complex work, collaborate across workflows, and support faster, more insight-driven decisions.
“Finance is at an inflection point, where organizations are moving from process efficiency to intelligent, decision-centric operations,” said Tyson Cornell, US Advisory Leader. “Through our collaboration with OpenAI, we’re helping clients embed agentic AI into the core fabric of the finance function, enabling more proactive insights, stronger controls, and a more adaptive operating model.”
In this new operating model, the role of finance professionals evolves from primarily executing processes to supervising, governing, and improving AI agents over time. Finance teams remain accountable for judgment, controls, and outcomes, while helping define the guardrails, policies, and organizational memory that allow agents to perform more effectively and responsibly. Through MCPs and reusable skills, agents can connect to enterprise systems with the right controls, produce more reliable outputs, and follow consistent operating patterns across finance processes.
At the same time, domain experts can use Codex and OpenAI emerging product surfaces to build bespoke applications for targeted finance workflows — accelerating solutions for accruals, close activities, reconciliations, reporting, and other operational needs without relying solely on traditional software development cycles. This is the foundation of a new kind of finance function: AI native by design, human-governed actions, continuously improving over time.
“Finance has always been about judgment, trust, and making decisions in environments filled with complexity and constant change. AI gives finance leaders a much deeper ability to see around corners and act faster,” said Sarah Friar, CFO at OpenAI. “I believe we’re now entering a moment where the finance function itself gets reimagined to shape decisions in real time. The opportunity here is far bigger than efficiency, it’s about giving finance leaders the tools to operate with greater foresight, agility, and strategic impact across the business.”
This collaboration reflects a broader shift toward an OpenAI native finance operating model, where work begins with intent and is executed by AI agents acting across systems, workflows, and data environments. Through hands-on collaboration, PwC and OpenAI are creating a continuous feedback loop between emerging innovation and real-world execution. This model allows both organizations to rapidly test, refine, and scale capabilities in ways that are practical, enterprise-ready, and closely aligned to the evolving priorities of CFOs.
Co-developing the future of Intelligent Enterprise for Finance
The focus of this collaboration is on practical, high-value workflows where AI agents can execute and coordinate work under human supervision. This includes:
Procurement agents that guide intake, create requisitions, answer policy questions, record item receipt and support procurement workflowsSpecialized agents that accelerate contract review, perform risk assessments, and power other autonomous finance operationsBespoke applications that help automate accruals, accelerate close activities, streamline reporting, and deliver customized dashboards — enabling domain experts to build targeted solutions around enterprise platforms faster and better serve stakeholders.
By leveraging Workspace Agents, Codex and OpenAI emerging product surfaces, the collaboration aims to show how finance teams can move beyond point automation toward an enterprise operating model where agents run repeatable workflows, surface exceptions, and continuously improve how work gets done.
PwC is proud to collaborate with OpenAI in this way within the finance domain, helping shape how an AI native finance function can be deployed with the governance, transparency, and control required in enterprise environments. Together, PwC and OpenAI are translating emerging AI capabilities into enterprise-ready solutions designed to work within existing finance systems, controls, and operating models.
You can learn more about how PwC and OpenAI are helping drive impact here: https://www.pwc.com/us/en/technology/alliances/openai.html
About PwC
At PwC, we help clients build trust and reinvent so they can turn complexity into a competitive advantage. We’re a tech-forward, people-empowered network with more than 364,000 people in 136 countries and 137 territories. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.
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