Posts in category: nVidia AI

Even post-spooky season, GFN Thursday has some treats for GeForce NOW members: a new batch of 17 games joining the cloud in November.

Catch the five games available to stream this week, including Dragon Age: The Veilguard, the highly anticipated next installment in BioWare’s beloved fantasy role-playing game series. Players who purchased the GeForce NOW Ultimate bundle can stream the game at launch for free starting today.

Unite the Veilguard

In Dragon Age: The Veilguard, take on the role of Rook and stop a pair of corrupt ancient gods who’ve broken free from centuries of darkness, hellbent on destroying the world. Set in the rich world of Thedas, the game includes an epic story with meaningful choices, deep character relationships, and a mix of familiar and new companions to go on adventures with.

Select from three classes, each with distinct weapon types, and harness the classes’ unique, powerful abilities while coordinating with a team of seven companions, who have their own rich lives and deep backstories. An expansive skill-tree system allows for diverse character builds across the Warrior, Rogue and Mage classes.

Experience the adventure in the vibrant world of Thedas with enhanced visual fidelity and performance by tapping into a GeForce NOW membership. Performance members can enjoy the game at up to 1440p resolution and 60 frames per second (fps). Ultimate members can take advantage of 4K resolution, up to 120 fps and advanced features like NVIDIA DLSS 3, low-latency gameplay with NVIDIA Reflex, and enhanced image quality and immersion with ray-traced ambient occlusion and reflections, even on low-powered devices.

‘Resident Evil 4’ in the Cloud

Capcom’s Resident Evil 4 is now available on GeForce NOW, bringing the horror to cloud gaming.

Survival is just the beginning. Six years have passed since the biological disaster in Raccoon City.

Agent Leon S. Kennedy, one of the incident’s survivors, has been sent to rescue the president’s kidnapped daughter. The agent tracks her to a secluded European village, where there’s something terribly wrong with the locals. The curtain rises on this story of daring rescue and grueling horror where life and death, terror and catharsis intersect.

Featuring modernized gameplay, a reimagined storyline and vividly detailed graphics, Resident Evil 4 marks the rebirth of an industry juggernaut. Relive the nightmare that revolutionized survival horror, with stunning high-dynamic-range visuals and immersive ray-tracing technology for Performance and Ultimate members.

Life Is Great With New Games

A new season for “Year 6” in Tom Clancy’s The Division 2 from Ubisoft is now available for members to stream. In Shades of Red, rogue ex-Division agent Aaron Keener has given himself up and is now in custody at the White House. The Division must learn what he knows to secure the other members of his team. New Seasonal Modifiers change gameplay and gear usage for players. A new revamped progression is also available. The Seasonal Journey comprises a series of missions, each containing a challenge-style objective for players to complete.

Look for the following games available to stream in the cloud this week:

• Life Is Strange: Double Exposure (New release on Steam and Xbox, available in the Microsoft store, Oct. 29)
• Dragon Age: The Veilguard (New release on Steam and EA App, Oct. 31)
• Resident Evil 4 (Steam)
• Resident Evil 4 Chainsaw Demo (Steam)
• VRChat (Steam)

Here’s what members can expect for the rest of November:

• Metal Slug Tactics (New release on Steam, Nov. 5)
• Planet Coaster 2 (New release on Steam, Nov. 6)
• Teenage Mutant Ninja Turtles: Splintered Fate (New Release on Steam, Nov. 6)
• Empire of the Ants (New release on Steam, Nov. 7)
• Unrailed 2: Back on Track (New release on Steam, Nov. 7)
• Farming Simulator 25 (New release on Steam, Nov. 12)
• Sea Power: Naval Combat in the Missile Age (New release on Steam, Nov. 12)
• Industry Giant 4.0 (New release Steam, Nov. 15)
• Towers of Aghasba (New release on Steam, Nov. 19)
• S.T.A.L.K.E.R. 2: Heart of Chornobyl (New release on Steam and Xbox, available on PC Game Pass, Nov .20)
• Star Wars Outlaws (New release on Steam, Nov. 21)
• Dungeons & Degenerate Gamblers (Steam)
• Headquarters: World War II (Steam)
• PANICORE (Steam)
• Slime Rancher (Steam)
• Sumerian Six (Steam)
• TCG Card Shop Simulator (Steam)

Outstanding October

In addition to the 22 games announced last month, eight more joined the GeForce NOW library:

• Empyrion – Galactic Survival (New release on Epic Games Store, Oct. 10)
• Assassin’s Creed Mirage (New release on Steam, Oct. 17)
• Windblown (New release on Steam, Oct. 24)
• Call of Duty HQ, including Call of Duty: Modern Warfare III and Call of Duty: Warzone (Xbox, available on PC Game Pass)
• Dungeon Tycoon (Steam)
• Off the Grid (Epic Games Store)
• South Park: The Fractured but Whole (Available on PC Game Pass, Oct 16. Members need to activate access.)
• Star Trucker (Steam and Xbox, available on PC Game Pass)

What are you planning to play this weekend? Let us know on X or in the comments below.

What’s video game character you’ve dressed up as for Halloween?

— NVIDIA GeForce NOW (@NVIDIAGFN) October 29, 2024

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Among the artists using AI to enhance and accelerate their creative endeavors is Sabour Amirazodi, a creator and tech marketing and workflow specialist at NVIDIA.

Using his over 20 years of multi-platform experience in location-based entertainment and media production, he decorates his home every year with an incredible Halloween installation — dubbed the Haunted Sanctuary.

The project is a massive undertaking requiring projection mapping, the creation and assembly of 3D scenes, compositing and editing in Adobe After Effects and Premiere Pro, and more. The creation process was accelerated using the NVIDIA Studio content creation platform and Amirazodi’s NVIDIA RTX 6000 GPU.

This year, Amirazodi deployed new AI workflows in ComfyUI, Adobe Firefly and Photoshop to create digital portraits — inspired by his family — as part of the installation.

Give ’em Pumpkin to Talk About

ComfyUI is a node-based interface that generates images and videos from text. It’s designed to be highly customizable, allowing users to design workflows, adjust settings and see results immediately. It can combine various AI models and third-party extensions to achieve a higher degree of control.

For example, this workflow below requires entering a prompt, the details and characteristics of the desired image, and a negative prompt to help omit any undesired visual effects.

Since Amirazodi wanted his digital creations to closely resemble his family, he started by applying Run IP Adapters, which use reference images to inform generated content.

From there, he tinkered with the settings to achieve the desired look and feel of each character.

ComfyUI has NVIDIA TensorRT acceleration, so RTX users can generate images from prompts up to 60% faster.

Get started with ComfyUI.

In Darkness, Let There Be Light

Adobe Firefly is a family of creative generative AI models that offer new ways to ideate and create while assisting creative workflows. They’re designed to be safe for commercial use and were trained, using NVIDIA GPUs, on licensed content like Adobe Stock Images and public domain content where copyright has expired.

To make the digital portraits fit as desired, Amirazodi needed to expand the background.

Adobe Photoshop features a Generative Fill tool called Generative Expand that allows artists to extend the border of their image with the Crop tool and automatically fill the space with content that matches the existing image.

Photoshop also features “Neural Filters that allow artists to explore creative ideas and make complex adjustments to images in just seconds, saving them hours of tedious, manual work.

With Smart Portrait Neural Filters, artists can easily experiment with facial characteristics such as gaze direction and lighting angles simply by dragging a slider. Amirazodi used the feature to apply the final touches to his portraits, adjusting colors, textures, depth blur and facial expressions.

NVIDIA RTX GPUs help power AI-based tasks, accelerating the Neural Filters in Photoshop.

Learn more about the latest Adobe features and tools in this blog.

AI is already helping accelerate and automate tasks across content creation, gaming and everyday life — and the speedups are only multiplied with an NVIDIA RTX- or GeForce RTX GPU-equipped system.

Check out and share Halloween- and fall-themed art as a part of the NVIDIA Studio #HarvestofCreativity challenge on Instagram, X, Facebook and Threads for a chance to be featured on the social media channels.

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As the world transitions from general-purpose to accelerated computing, finding a path to building data center infrastructure at scale is becoming more important than ever. Enterprises must navigate uncharted waters when designing and deploying infrastructure to support these new AI workloads.

Constant developments in model capabilities and software frameworks, along with the novelty of these workloads, mean best practices and standardized approaches are still in their infancy. This state of flux can make it difficult for enterprises to establish long-term strategies and invest in infrastructure with confidence.

To address these challenges, NVIDIA is unveiling Enterprise Reference Architectures (Enterprise RAs). These comprehensive blueprints help NVIDIA systems partners and joint customers build their own AI factories — high-performance, scalable and secure data centers for manufacturing intelligence.

Building AI Factories to Unlock Enterprise Growth

NVIDIA Enterprise RAs help organizations avoid pitfalls when designing AI factories by providing full-stack hardware and software recommendations, and detailed guidance on optimal server, cluster and network configurations for modern AI workloads.

Enterprise RAs can reduce the time and cost of deploying AI infrastructure solutions by providing a streamlined approach for building flexible and cost-effective accelerated infrastructure, while ensuring compatibility and interoperability.

Each Enterprise RA includes recommendations for:

• Accelerated infrastructure based on an optimized NVIDIA-Certified server configuration, featuring the latest NVIDIA GPUs, CPUs and networking technologies, that’s been tested and validated to deliver performance at scale.
• AI-optimized networking with the NVIDIA Spectrum-X AI Ethernet platform and NVIDIA BlueField-3 DPUs to deliver peak network performance, and guidance on optimal network configurations at multiple design points to address varying workload and scale requirements.
• The NVIDIA AI Enterprise software platform for production AI, which includes NVIDIA NeMo and NVIDIA NIM microservices for easily building and deploying AI applications, and NVIDIA Base Command Manager Essentials for infrastructure provisioning, workload management and resource monitoring.

Businesses that deploy AI workloads on partner solutions based upon Enterprise RAs, which are informed by NVIDIA’s years of expertise in designing and building large-scale computing systems, will benefit from:

• Accelerated time to market: By using NVIDIA’s structured approach and recommended designs, enterprises can deploy AI solutions faster, reducing the time to achieve business value.
• Performance: Build upon tested and validated technologies with the confidence that AI workloads will run at peak performance.
• Scalability and manageability: Develop AI infrastructure while incorporating design best practices that enable flexibility and scale and help ensure optimal network performance.
• Security: Run workloads securely on AI infrastructure that’s engineered with zero trust in mind, supports confidential computing and is optimized for the latest cybersecurity AI innovations.
• Reduced complexity: Accelerate deployment timelines, while avoiding design and planning pitfalls, through optimal server, cluster and network configurations for AI workloads.

Availability

Solutions based upon NVIDIA Enterprise RAs are available from NVIDIA’s global partners, including Dell Technologies, Hewlett Packard Enterprise, Lenovo and Supermicro.

Learn more about NVIDIA-Certified Systems and NVIDIA Enterprise Reference Architectures.

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An overwhelming 91% of financial services industry (FSI) companies are either assessing artificial intelligence or already have it in the bag as a tool that’s driving innovation, improving operational efficiency and enhancing customer experiences.

Generative AI — powered by NVIDIA NIM microservices and accelerated computing — can help organizations improve portfolio optimization, fraud detection, customer service and risk management.

Among the companies harnessing these technologies to boost financial services applications are Ntropy, Contextual AI and NayaOne — all members of the NVIDIA Inception program for cutting-edge startups.

And Silicon Valley-based startup Securiti, which offers a centralized, intelligent platform for the safe use of data and generative AI, is using NVIDIA NIM to build an AI-powered copilot for financial services.

At Money20/20, a leading fintech conference running this week in Las Vegas, the companies will demonstrate how their technologies can turn disparate, often complex FSI data into actionable insights and advanced innovation opportunities for banks, fintechs, payment providers and other organizations.

Ntropy Brings Order to Unstructured Financial Data

New York-based Ntropy is helping remove various states of entropy — disorder, randomness or uncertainty — from financial services workflows.

“Whenever money is moved from point A to point B, text is left in bank statements, PDF receipts and other forms of transaction history,” said Naré Vardanyan, cofounder and CEO of Ntropy. “Traditionally, that unstructured data has been very hard to clean up and use for financial applications.”

The company’s transaction enrichment application programming interface (API) standardizes financial data from across different sources and geographies, acting as a common language that can help financial services applications understand any transaction with humanlike accuracy in just milliseconds, at 10,000x lower cost than traditional methods.

It’s built on the Llama 3 NVIDIA NIM microservice and NVIDIA Triton Inference Server running on NVIDIA H100 Tensor Core GPUs. Using the Llama 3 NIM microservice, Ntropy achieved up to 20x better utilization and throughput for its large language models (LLMs) compared with running the native models.

Airbase, a leading procure-to-pay software platform provider, boosts transaction authorization processes using LLMs and the Ntropy data enricher.

At Money20/20, Ntropy will discuss how its API can be used to clean up customers’ merchant data, which boosts fraud detection by improving the accuracy of risk-detection models. This in turn reduces both false transaction declines and revenue loss.

Another demo will highlight how an automated loan agent taps into the Ntropy API to analyze information on a bank’s website and generate a relevant investment report to speed loan dispersal and decision-making processes for users.

Contextual AI Advances Retrieval-Augmented Generation for FSI

Contextual AI — based in Mountain View, California — offers a production-grade AI platform, powered by retrieval-augmented generation (RAG) and ideal for building enterprise AI applications in knowledge-intensive FSI use cases.

“RAG is the answer to delivering enterprise AI into production,” said Douwe Kiela, CEO and cofounder of Contextual AI. “Tapping into NVIDIA technologies and large language models, the Contextual AI RAG 2.0 platform can bring accurate, auditable AI to FSI enterprises looking to optimize operations and offer new generative AI-powered products.”

The Contextual AI platform integrates the entire RAG pipeline — including extraction, retrieval, reranking and generation — into a single optimized system that can be deployed in minutes, and further tuned and specialized based on customer needs, delivering much greater accuracy in context-dependent tasks.

HSBC plans to use Contextual AI to provide research insights and process guidance support through retrieving and synthesizing relevant market outlooks, financial news and operational documents. Other financial organizations are also harnessing Contextual AI’s pre-built applications, including for financial analysis, policy-compliance report generation, financial advice query resolution and more.

For example, a user could ask, “What’s our forecast for central bank rates by Q4 2025?” The Contextual AI platform would provide a brief explanation and an accurate answer grounded in factual documents, including citations to specific sections in the source.

Contextual AI uses NVIDIA Triton Inference Server and the open-source NVIDIA TensorRT-LLM library for accelerating and optimizing LLM inference performance.

NayaOne Provides Digital Sandbox for Financial Services Innovation

London-based NayaOne offers an AI sandbox that allows customers to securely test and validate AI applications prior to commercial deployment. Its technology platform allows financial institutions the ability to create synthetic data and gives them access to a marketplace of hundreds of fintechs.

Customers can use the digital sandbox to benchmark applications for fairness, transparency, accuracy and other compliance measures and to better ensure top performance and successful integration.

“The demand for AI-driven solutions in financial services is accelerating, and our collaboration with NVIDIA allows institutions to harness the power of generative AI in a controlled, secure environment,” said Karan Jain, CEO of NayaOne. “We’re creating an ecosystem where financial institutions can prototype faster and more effectively, leading to real business transformation and growth initiatives.”

Using NVIDIA NIM microservices, NayaOne’s AI Sandbox lets customers explore and experiment with optimized AI models, and take them to deployment more easily. With NVIDIA accelerated computing, NayaOne achieves up to 10x faster processing for the large datasets used in its fraud detection models, at up to 40% lower infrastructure costs compared with running extensive CPU-based models.

The digital sandbox also uses the open-source NVIDIA RAPIDS set of data science and AI libraries to accelerate fraud detection and prevention capabilities in money movement applications. The company will demonstrate its digital sandbox at the NVIDIA AI Pavilion at Money20/20.

Securiti Improves Financial Planning With AI Copilot

Powering a broad range of generative AI applications — including safe enterprise AI copilots and LLM training and tuning — Securiti’s highly flexible Data+AI platform lets users build safe, end-to-end enterprise AI systems.

The company is now building an NVIDIA NIM-powered financial planning assistant. The copilot chatbot accesses diverse financial data while adhering to privacy and entitlement policies to provide context-aware responses to users’ finance-related questions.

“Banks struggle to provide personalized financial advice at scale while maintaining data security, privacy and compliance with regulations,” said Jack Berkowitz, chief data officer at Securiti. “With robust data protection and role-based access for secure, scalable support, Securiti helps build safe AI copilots that offer personalized financial advice tailored to individual goals.”

The chatbot retrieves data from a variety of sources, such as earnings transcripts, client profiles and account balances, and investment research documents. Securiti’s solution safely ingests and prepares it for use with high-performance, NVIDIA-powered LLMs, preserving controls such as access entitlements. Finally, it provides users with customized responses through a simple consumer interface.

Using the Llama 3 70B-Instruct NIM microservice, Securiti optimized the performance of the LLM, while ensuring the safe use of data. The company will demonstrate its generative AI solution at Money20/20.

NIM microservices and Triton Inference Server are available through the NVIDIA AI Enterprise software platform.

Learn more about AI for financial services by joining NVIDIA at Money20/20, running through Wednesday, Oct. 30. 

Explore a new NVIDIA AI workflow for fraud detection.

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Financial losses from worldwide credit card transaction fraud are expected to reach $43 billion by 2026.

A new NVIDIA AI workflow for fraud detection running on Amazon Web Services (AWS) can help combat this burgeoning epidemic — using accelerated data processing and advanced algorithms to improve AI’s ability to detect and prevent credit card transaction fraud.

Launched this week at the Money20/20 fintech conference, the workflow enables financial institutions to identify subtle patterns and anomalies in transaction data based on user behavior to improve accuracy and reduce false positives compared with traditional methods.

Users can streamline the migration of their fraud detection workflows from traditional compute to accelerated compute using the NVIDIA AI Enterprise software platform and NVIDIA GPU instances.

Businesses embracing comprehensive machine learning tools and strategies can observe up to an estimated 40% improvement in fraud detection accuracy, boosting their ability to identify and stop fraudsters faster and mitigate harm.

As such, leading financial organizations like American Express and Capital One have been using AI to build proprietary solutions that mitigate fraud and enhance customer protection.

The new NVIDIA workflow accelerates data processing, model training and inference, and demonstrates how these components can be wrapped into a single, easy-to-use software offering, powered by NVIDIA AI.

Currently optimized for credit card transaction fraud, the workflow could be adapted for use cases such as new account fraud, account takeover and money laundering.

Accelerated Computing for Fraud Detection

As AI models expand in size, intricacy and diversity, it’s more important than ever for organizations across industries — including financial services — to harness cost- and energy-efficient computing power.

Traditional data science pipelines lack the necessary compute acceleration to handle the massive volumes of data required to effectively fight fraud amid rapidly growing losses across the industry. Leveraging NVIDIA RAPIDS Accelerator for Apache Spark could help payment companies reduce data processing times and save on their data processing costs.

To efficiently manage large-scale datasets and deliver real-time AI performance with complex AI models, financial institutions are turning to NVIDIA’s AI and accelerated computing platforms.

The use of gradient-boosted decision trees — a type of machine learning algorithm — tapping into libraries such as XGBoost, has long been the standard for fraud detection.

The new NVIDIA AI workflow for fraud detection enhances XGBoost using the NVIDIA RAPIDS suite of AI libraries with graph neural network (GNN) embeddings as additional features to help reduce false positives.

The GNN embeddings are fed into XGBoost to create and train a model that can then be orchestrated with the NVIDIA Morpheus Runtime Core library and NVIDIA Triton Inference Server for real-time inferencing.

The NVIDIA Morpheus framework securely inspects and classifies all incoming data, tagging it with patterns and flagging potentially suspicious activity. NVIDIA Triton Inference Server simplifies inference of all types of AI model deployments in production, while optimizing throughput, latency and utilization.

NVIDIA Morpheus, RAPIDS and Triton Inference Server are available through NVIDIA AI Enterprise.

Leading Financial Services Organizations Adopt AI

During a time when many large North American financial institutions are reporting online or mobile fraud losses continue to increase, AI is helping to combat this trend.

American Express, which began using AI to fight fraud in 2010, leverages fraud detection algorithms to monitor all customer transactions globally in real time, generating fraud decisions in just milliseconds. Using a combination of advanced algorithms, one of which tapped into the NVIDIA AI platform, American Express enhanced model accuracy, advancing the company’s ability to better fight fraud.

European digital bank bunq uses generative AI and large language models to help detect fraud and money laundering. Its AI-powered transaction-monitoring system achieved nearly 100x faster model training speeds with NVIDIA accelerated computing.

BNY announced in March that it became the first major bank to deploy an NVIDIA DGX SuperPOD with DGX H100 systems, which will help build solutions that support fraud detection and other use cases.

And now, systems integrators, software vendors and cloud service providers can integrate the new NVIDIA AI workflow for fraud detection to boost their financial services applications and help keep customers’ money, identities and digital accounts safe.

Explore the fraud detection NVIDIA AI workflow and read this NVIDIA Technical Blog on supercharging fraud detection with GNNs.

Learn more about AI for fraud detection by visiting the NVIDIA AI Pavilion featuring AWS at Money 20/20, running this week in Las Vegas.

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Ahead of a visit to the hospital for a surgical procedure, patients often have plenty of questions about what to expect — and can be plenty nervous.

To help minimize presurgery jitters, Deloitte is enhancing its Quartz Frontline AI, an AI solution for customer service powered by NVIDIA AI, to now include AI agents to bring the next generation of digital, frontline teammates to patients before they even step foot inside the hospital.

These virtual teammates, built with the NVIDIA AI Enterprise software platform, can have natural, human-like conversations with patients, answer a wide range of questions and provide support prior to preadmission appointments at hospitals.

Working with NVIDIA, Deloitte has added Frontline AI Teammate to its Quartz platform for use in settings like hospitals, where the digital avatar can have practical conversations — in multiple languages — that give the end user, such as a patient, instant answers to pressing questions.

“Avatar-based conversational AI agents offer an incredible opportunity to reduce the productivity paradox that our healthcare system faces with digitization,” said Niraj Dalmia, partner at Deloitte Canada. “It could possibly be the complementary innovation that reduces administrative burden, complements our healthcare human resources to free up capacity and helps solve for patient experience challenges.”

Next-Gen Technologies Powering Digital Humans

Digital human technology can provide lifelike interactions that can enhance experiences for doctors and patients.

Deloitte’s Frontline AI Teammate, built with NVIDIA AI Enterprise and Deloitte’s Conversational AI Framework, is designed to deliver human-to-machine experiences in healthcare settings. Developed on the NVIDIA Omniverse platform, Deloitte’s lifelike avatar can respond to complex, domain-specific questions that are pivotal in healthcare delivery.

Developers can tap into NVIDIA NIM microservices, which streamline the path for developing AI-powered applications and moving AI models into production, to craft digital humans for healthcare industry applications.

NVIDIA NIM Agent Blueprints offer a customizable, reference AI workflow for creating interactive, AI-driven avatars that are ideal for telehealth — and include best practices for how to use NVIDIA NeMo Retriever, an industry-leading embedding, retrieval and re-ranking model that allows for fast responses based on up-to-date healthcare data.

Customizable digital humans — like James, an interactive demo developed by NVIDIA — can handle tasks such as scheduling appointments, filling out intake forms and answering questions about upcoming health services. This can make healthcare services more efficient while also improving patient access.

In addition to NIM microservices, the James interactive demo also uses NVIDIA ACE to provide natural, low-latency responses.

NVIDIA ACE is a suite of AI, graphics and simulation technologies for bringing digital humans to life. It can integrate every aspect of a digital human into healthcare applications — from speech and translation abilities capable of understanding diverse accents and languages, to realistic animations of facial and body movements.

Personalized Experiences for Hospital Patients

Patients can get overwhelmed with the amount of preoperative information. Typically, they have only one pre-admission appointment, often many weeks before the surgery, which can leave them with lingering questions and escalating concerns. The stress of a serious diagnosis may also prevent them from asking all the necessary questions during these brief interactions, leaving them without comprehensive knowledge about the appointment’s purpose, duration, location and necessary documents — and potentially leading to delays or even rescheduling of their surgeries.

To enhance patient preparation and reduce pre-procedure anxiety, The Ottawa Hospital is using AI agents, powered by NVIDIA and Deloitte’s technologies, to provide more consistent, accurate and continuous access to information.

With the Frontline AI teammate, patients can experience benefits including:

• 24/7 access to the digital teammate using a smartphone, tablet or home computer.
• Reliable, preapproved answers to detailed questions, including information around anesthesia or the procedure itself.
• Postsurgery consultation to resolve any questions about the recovery process, potentially improving treatment adherence and health outcomes.

In user acceptance testing conducted this summer, a majority of the testers noted that responses provided were clear, relevant and met the needs of the given interaction.

“The Frontline AI Teammate offers a novel and innovative solution to help combat our health human resource crisis — it has the potential to reduce the administrative burden, giving back time to healthcare providers to provide the quality care our population deserves and expects from The Ottawa Hospital,” said Mathieu LeBreton, digital experience lead at The Ottawa Hospital. “The opportunity to explore these technologies is well-timed, given the planning of the New Campus Development, a new hospital project in Ottawa. Proper identification of the problems we are trying to solve is imperative to ensure this is done responsibly and transparently.”

Deloitte is working with other hospitals and healthcare institutions to deploy digital agents. A patient-facing pilot with Ottawa Hospital is expected to go live by the end of the year.

Developers can get started by accessing the digital human NIM Agent Blueprint.

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Artificial intelligence will be the driving force behind India’s digital transformation, fueling innovation, economic growth, and global leadership, NVIDIA founder and CEO Jensen Huang said Thursday at NVIDIA’s AI Summit in Mumbai.

Addressing a crowd of entrepreneurs, developers, academics and business leaders, Huang positioned AI as the cornerstone of the country’s future.

India has an “amazing natural resource” in its IT and computer science expertise,” Huang said, nothing the vast potential waiting to be unlocked.

To capitalize on this country’s talent and India’s immense data resources, the country’s leading cloud infrastructure providers are rapidly accelerating their data center capacity. NVIDIA is playing a key role, with NVIDIA GPU deployments expected to grow nearly 10x by year’s end, creating the backbone for an AI-driven economy.

Together with NVIDIA, these companies are at the cutting edge of a shift Huang compared to the seismic change in computing introduced by IBM’s System 360 in 1964, calling it the most profound platform shift since then.

“This industry, the computing industry, is going to become the intelligence industry,” Huang said, pointing to India’s unique strengths to lead this industry,  thanks to its enormous amounts of data and large population.

With this rapid expansion in infrastructure, AI factories will play a critical role in India’s future, serving as the backbone of the nation’s AI-driven growth.

“It makes complete sense that India should manufacture its own AI,” Huang said. “You should not export data to import intelligence,” he added, noting the importance of India building its own AI infrastructure.

Huang identified three areas where AI will transform industries: sovereign AI, where nations use their own data to drive innovation; agentic AI, which automates knowledge-based work; and physical AI, which applies AI to industrial tasks through robotics and autonomous systems. India, Huang noted, is uniquely positioned to lead in all three areas.

India’s startups are already harnessing NVIDIA technology to drive innovation across industries and are positioning themselves as global players, bringing the country’s AI solutions to the world.

Meanwhile, India’s robotics ecosystem is adopting NVIDIA Isaac and Omniverse to power the next generation of physical AI, revolutionizing industries like manufacturing and logistics with advanced automation.

Huang’s also keynote featured a surprise appearance by actor and producer Akshay Kumar.

Following Huang’s remarks, the focus shifted to a fireside chat between Huang and Reliance Industries Chairman Mukesh Ambani, where the two leaders explored how AI will shape the future of Indian industries, particularly in sectors like energy, telecommunications and manufacturing.

Ambani emphasized that AI is central to this continued growth. Reliance, in partnership with NVIDIA, is building AI factories to automate industrial tasks and transform processes in sectors like energy and manufacturing.

Both men discussed their companies’ joint efforts to pioneer AI infrastructure in India.

Ambani underscored the role of AI in public sector services, explaining how India’s data combined with AI is already transforming governance and service delivery.

Huang added that AI promises to democratize technology.

“The ability to program AI is something that everyone can do … if AI could be put into the hands of every citizen, it would elevate and put into the hands of everyone this incredible capability,” he said.

Huang emphasized NVIDIA’s role in preparing India’s workforce for an AI-driven future.

NVIDIA is partnering with India’s IT giants such as Infosys, TCS, Tech Mahindra and Wipro to upskill nearly half a million developers, ensuring India leads the AI revolution with a highly trained workforce.

“India’s technical talent is unmatched,” Huang said.

Ambani echoed these sentiments, stressing that “India will be one of the biggest intelligence markets,” pointing to the nation’s youthful, technically talented population.

A Vision for India’s AI-Driven Future

As the session drew to a close, Huang and Ambani reflected on their vision for India’s AI-driven future.

With its vast talent pool, burgeoning tech ecosystem and immense data resources, the country, they agreed, has the potential to contribute globally in sectors such as energy, healthcare, finance and manufacturing.

“This cannot be done by any one company, any one individual, but we all have to work together to bring this intelligence age safely to the world so that we can create a more equal world, a more prosperous world,” Ambani said.

Huang echoed the sentiment, adding: “Let’s make it a promise today that we will work together so that India can take advantage of the intelligence revolution that’s ahead of us.”

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Artificial intelligence will be the driving force behind India’s digital transformation, fueling innovation, economic growth, and global leadership, NVIDIA founder and CEO Jensen Huang said Thursday at NVIDIA’s AI Summit in Mumbai.

Addressing a crowd of entrepreneurs, developers, academics and business leaders, Huang positioned AI as the cornerstone of the country’s future.

India has an “amazing natural resource” in its IT and computer science expertise,” Huang said, noting the vast potential waiting to be unlocked.

To capitalize on this country’s talent and India’s immense data resources, the country’s leading cloud infrastructure providers are rapidly accelerating their data center capacity. NVIDIA is playing a key role, with NVIDIA GPU deployments expected to grow nearly 10x by year’s end, creating the backbone for an AI-driven economy.

Together with NVIDIA, these companies are at the cutting edge of a shift Huang compared to the seismic change in computing introduced by IBM’s System 360 in 1964, calling it the most profound platform shift since then.

“This industry, the computing industry, is going to become the intelligence industry,” Huang said, pointing to India’s unique strengths to lead this industry,  thanks to its enormous amounts of data and large population.

With this rapid expansion in infrastructure, AI factories will play a critical role in India’s future, serving as the backbone of the nation’s AI-driven growth.

“It makes complete sense that India should manufacture its own AI,” Huang said. “You should not export data to import intelligence,” he added, noting the importance of India building its own AI infrastructure.

Huang identified three areas where AI will transform industries: sovereign AI, where nations use their own data to drive innovation; agentic AI, which automates knowledge-based work; and physical AI, which applies AI to industrial tasks through robotics and autonomous systems. India, Huang noted, is uniquely positioned to lead in all three areas.

India’s startups are already harnessing NVIDIA technology to drive innovation across industries and are positioning themselves as global players, bringing the country’s AI solutions to the world.

Meanwhile, India’s robotics ecosystem is adopting NVIDIA Isaac and Omniverse to power the next generation of physical AI, revolutionizing industries like manufacturing and logistics with advanced automation.

Huang’s also keynote featured a surprise appearance by actor and producer Akshay Kumar.

Following Huang’s remarks, the focus shifted to a fireside chat between Huang and Reliance Industries Chairman Mukesh Ambani, where the two leaders explored how AI will shape the future of Indian industries, particularly in sectors like energy, telecommunications and manufacturing.

Ambani emphasized that AI is central to this continued growth. Reliance, in partnership with NVIDIA, is building AI factories to automate industrial tasks and transform processes in sectors like energy and manufacturing.

Both men discussed their companies’ joint efforts to pioneer AI infrastructure in India.

Ambani underscored the role of AI in public sector services, explaining how India’s data combined with AI is already transforming governance and service delivery.

Huang added that AI promises to democratize technology.

“The ability to program AI is something that everyone can do … if AI could be put into the hands of every citizen, it would elevate and put into the hands of everyone this incredible capability,” he said.

Huang emphasized NVIDIA’s role in preparing India’s workforce for an AI-driven future.

NVIDIA is partnering with India’s IT giants such as Infosys, TCS, Tech Mahindra and Wipro to upskill nearly half a million developers, ensuring India leads the AI revolution with a highly trained workforce.

“India’s technical talent is unmatched,” Huang said.

Ambani echoed these sentiments, stressing that “India will be one of the biggest intelligence markets,” pointing to the nation’s youthful, technically talented population.

A Vision for India’s AI-Driven Future

As the session drew to a close, Huang and Ambani reflected on their vision for India’s AI-driven future.

With its vast talent pool, burgeoning tech ecosystem and immense data resources, the country, they agreed, has the potential to contribute globally in sectors such as energy, healthcare, finance and manufacturing.

“This cannot be done by any one company, any one individual, but we all have to work together to bring this intelligence age safely to the world so that we can create a more equal world, a more prosperous world,” Ambani said.

Huang echoed the sentiment, adding: “Let’s make it a promise today that we will work together so that India can take advantage of the intelligence revolution that’s ahead of us.”

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Artificial intelligence will be the driving force behind India’s digital transformation, fueling innovation, economic growth, and global leadership, NVIDIA founder and CEO Jensen Huang said Thursday at NVIDIA’s AI Summit in Mumbai.

Addressing a crowd of entrepreneurs, developers, academics and business leaders, Huang positioned AI as the cornerstone of the country’s future.

India has an “amazing natural resource” in its IT and computer science expertise,” Huang said, noting the vast potential waiting to be unlocked.

To capitalize on this country’s talent and India’s immense data resources, the country’s leading cloud infrastructure providers are rapidly accelerating their data center capacity. NVIDIA is playing a key role, with NVIDIA GPU deployments expected to grow nearly 10x by year’s end, creating the backbone for an AI-driven economy.

Together with NVIDIA, these companies are at the cutting edge of a shift Huang compared to the seismic change in computing introduced by IBM’s System 360 in 1964, calling it the most profound platform shift since then.

“This industry, the computing industry, is going to become the intelligence industry,” Huang said, pointing to India’s unique strengths to lead this industry,  thanks to its enormous amounts of data and large population.

With this rapid expansion in infrastructure, AI factories will play a critical role in India’s future, serving as the backbone of the nation’s AI-driven growth.

“It makes complete sense that India should manufacture its own AI,” Huang said. “You should not export data to import intelligence,” he added, noting the importance of India building its own AI infrastructure.

Huang identified three areas where AI will transform industries: sovereign AI, where nations use their own data to drive innovation; agentic AI, which automates knowledge-based work; and physical AI, which applies AI to industrial tasks through robotics and autonomous systems. India, Huang noted, is uniquely positioned to lead in all three areas.

India’s startups are already harnessing NVIDIA technology to drive innovation across industries and are positioning themselves as global players, bringing the country’s AI solutions to the world.

Meanwhile, India’s robotics ecosystem is adopting NVIDIA Isaac and Omniverse to power the next generation of physical AI, revolutionizing industries like manufacturing and logistics with advanced automation.

Huang’s also keynote featured a surprise appearance by actor and producer Akshay Kumar.

Following Huang’s remarks, the focus shifted to a fireside chat between Huang and Reliance Industries Chairman Mukesh Ambani, where the two leaders explored how AI will shape the future of Indian industries, particularly in sectors like energy, telecommunications and manufacturing.

Ambani emphasized that AI is central to this continued growth. Reliance, in partnership with NVIDIA, is building AI factories to automate industrial tasks and transform processes in sectors like energy and manufacturing.

Both men discussed their companies’ joint efforts to pioneer AI infrastructure in India.

Ambani underscored the role of AI in public sector services, explaining how India’s data combined with AI is already transforming governance and service delivery.

Huang added that AI promises to democratize technology.

“The ability to program AI is something that everyone can do … if AI could be put into the hands of every citizen, it would elevate and put into the hands of everyone this incredible capability,” he said.

Huang emphasized NVIDIA’s role in preparing India’s workforce for an AI-driven future.

NVIDIA is partnering with India’s IT giants such as Infosys, TCS, Tech Mahindra and Wipro to upskill nearly half a million developers, ensuring India leads the AI revolution with a highly trained workforce.

“India’s technical talent is unmatched,” Huang said.

Ambani echoed these sentiments, stressing that “India will be one of the biggest intelligence markets,” pointing to the nation’s youthful, technically talented population.

A Vision for India’s AI-Driven Future

As the session drew to a close, Huang and Ambani reflected on their vision for India’s AI-driven future.

With its vast talent pool, burgeoning tech ecosystem and immense data resources, the country, they agreed, has the potential to contribute globally in sectors such as energy, healthcare, finance and manufacturing.

“This cannot be done by any one company, any one individual, but we all have to work together to bring this intelligence age safely to the world so that we can create a more equal world, a more prosperous world,” Ambani said.

Huang echoed the sentiment, adding: “Let’s make it a promise today that we will work together so that India can take advantage of the intelligence revolution that’s ahead of us.”

Read More

Artificial intelligence will be the driving force behind India’s digital transformation, fueling innovation, economic growth, and global leadership, NVIDIA founder and CEO Jensen Huang said Thursday at NVIDIA’s AI Summit in Mumbai.

Addressing a crowd of entrepreneurs, developers, academics and business leaders, Huang positioned AI as the cornerstone of the country’s future.

India has an “amazing natural resource” in its IT and computer science expertise,” Huang said, nothing the vast potential waiting to be unlocked.

To capitalize on this country’s talent and India’s immense data resources, the country’s leading cloud infrastructure providers are rapidly accelerating their data center capacity. NVIDIA is playing a key role, with NVIDIA GPU deployments expected to grow nearly 10x by year’s end, creating the backbone for an AI-driven economy.

Together with NVIDIA, these companies are at the cutting edge of a shift Huang compared to the seismic change in computing introduced by IBM’s System 360 in 1964, calling it the most profound platform shift since then.

“This industry, the computing industry, is going to become the intelligence industry,” Huang said, pointing to India’s unique strengths to lead this industry,  thanks to its enormous amounts of data and large population.

With this rapid expansion in infrastructure, AI factories will play a critical role in India’s future, serving as the backbone of the nation’s AI-driven growth.

“It makes complete sense that India should manufacture its own AI,” Huang said. “You should not export data to import intelligence,” he added, noting the importance of India building its own AI infrastructure.

Huang identified three areas where AI will transform industries: sovereign AI, where nations use their own data to drive innovation; agentic AI, which automates knowledge-based work; and physical AI, which applies AI to industrial tasks through robotics and autonomous systems. India, Huang noted, is uniquely positioned to lead in all three areas.

India’s startups are already harnessing NVIDIA technology to drive innovation across industries and are positioning themselves as global players, bringing the country’s AI solutions to the world.

Meanwhile, India’s robotics ecosystem is adopting NVIDIA Isaac and Omniverse to power the next generation of physical AI, revolutionizing industries like manufacturing and logistics with advanced automation.

Huang’s also keynote featured a surprise appearance by actor and producer Akshay Kumar.

Following Huang’s remarks, the focus shifted to a fireside chat between Huang and Reliance Industries Chairman Mukesh Ambani, where the two leaders explored how AI will shape the future of Indian industries, particularly in sectors like energy, telecommunications and manufacturing.

Ambani emphasized that AI is central to this continued growth. Reliance, in partnership with NVIDIA, is building AI factories to automate industrial tasks and transform processes in sectors like energy and manufacturing.

Both men discussed their companies’ joint efforts to pioneer AI infrastructure in India.

Ambani underscored the role of AI in public sector services, explaining how India’s data combined with AI is already transforming governance and service delivery.

Huang added that AI promises to democratize technology.

“The ability to program AI is something that everyone can do … if AI could be put into the hands of every citizen, it would elevate and put into the hands of everyone this incredible capability,” he said.

Huang emphasized NVIDIA’s role in preparing India’s workforce for an AI-driven future.

NVIDIA is partnering with India’s IT giants such as Infosys, TCS, Tech Mahindra and Wipro to upskill nearly half a million developers, ensuring India leads the AI revolution with a highly trained workforce.

“India’s technical talent is unmatched,” Huang said.

Ambani echoed these sentiments, stressing that “India will be one of the biggest intelligence markets,” pointing to the nation’s youthful, technically talented population.

A Vision for India’s AI-Driven Future

As the session drew to a close, Huang and Ambani reflected on their vision for India’s AI-driven future.

With its vast talent pool, burgeoning tech ecosystem and immense data resources, the country, they agreed, has the potential to contribute globally in sectors such as energy, healthcare, finance and manufacturing.

“This cannot be done by any one company, any one individual, but we all have to work together to bring this intelligence age safely to the world so that we can create a more equal world, a more prosperous world,” Ambani said.

Huang echoed the sentiment, adding: “Let’s make it a promise today that we will work together so that India can take advantage of the intelligence revolution that’s ahead of us.”

Read More