ge investor presentation 2022

GE kicks off Investor Day, reaffirms 2022 financial forecast

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Launching its Investor Day event, General Electric (NYSE: GE ) reiterates its FY 2022 financial guidance , forecasting organic sales growth at a high single-digit percentage, adjusted organic margin expansion of at least 1.5%, adjusted EPS of $2.80-$3.50, and free cash flow $5.5B-$6.5B.

At the event, GE management will host a series of meetings to examine each of the company's business units; the company plans to split into three businesses over the next two years, and GE's guidance for each appears to meet or exceed Wall Street expectations .

In its healthcare business, GE says it can grow sales at a mid-single digit rate each year and generate ~20% profit margins; for FY 2022, GE sees healthcare generating $3.2B in operating profit, rising to $3.5B in 2023.

In power, GE forecasts sales growth at a low single-digit percentage and operating profit by 8%-10%; for 2022, GE anticipates operating profit of $1.1B, growing to $1.5B in 2023.

In aviation, GE sees annual sales growth averaging 4%-6%and operating profit margins at ~20%; for 2022, operating profit should come in at $4.1B, improving to $6B in 2023.

GE shares rose 3.5% on Wednesday after the company announced a plan to buy back $3B in stock .

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Quarter Ended Mar 31, 2024

GAAP earnings

Cash flow from operating activities

Quarterly gross production in Guyana; FID on sixth major development

Record first-quarter refining throughput on a same-site basis

Net debt-to-capital; lowest in more than a decade

For complete information regarding our financials and a reconciliation of GAAP to Non-GAAP results, see our periodic filings and financial results.

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Working to solve the “And” equation: delivering the energy and products society needs and reducing our own and others’ greenhouse gas emissions

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We’ve evolved our operating model into three core businesses: Upstream, Product Solutions, and Low Carbon Solutions.

Upstream includes our diverse growth portfolio of oil and natural gas exploration and development projects in Guyana, Brazil, the Permian Basin, as well as LNG expansion opportunities in Qatar, Mozambique, Papua New Guinea, and the U.S.

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Product Solutions consolidates Downstream and Chemical to form the world’s largest downstream and chemical company. It consists of Energy Products (refining and fuels), Chemical Products (petrochemicals and advanced recycling), and Specialty Products (high-quality lubricants and synthetics) that are needed by modern society.

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GE Aerospace

Us3696043013, consumer goods conglomerates.

• General Electric : 2Q 2022 Presentation

GE second quarter 2022 performance

Financial results & company highlights

July 26, 2022

CAUTION CONCERNING FORWARD-LOOKING STATEMENTS:

This document contains "forward-looking statements" - that is, statements related to future events that by their nature address matters that are, to different degrees, uncertain. For details on the uncertainties that may cause our actual future results to be materially different than those expressed in our forward-looking statements, see https://www.ge.com/investor-relations/important-forward-looking-statement-information as well as our annual reports on Form 10-K and quarterly reports on Form 10-Q. We do not undertake to update our forward-looking statements. This document also includes certain forward-looking projected financial information that is based on current estimates and forecasts. Actual results could differ materially.

NON-GAAP FINANCIAL MEASURES:

In this document, we sometimes use information derived from consolidated financial data but not presented in our financial statements prepared in accordance with U.S. generally accepted accounting principles (GAAP). Certain of these data are considered "non-GAAP financial measures" under the U.S. Securities and Exchange Commission rules. These non-GAAP financial measures supplement our GAAP disclosures and should not be considered an alternative to the GAAP measure. The reasons we use these non-GAAP financial measures and the reconciliations to their most directly comparable GAAP financial measures are included in our earnings release and the appendix of this presentation and prior earnings presentations, as applicable.

Amounts shown on subsequent pages may not add due to rounding.

GE's Investor Relations website at www.ge.com/investor and our corporate blog at www.gereports.com, as well as GE's Facebook page and Twitter accounts, contain a significant amount of information about GE, including financial and other information for investors. GE encourages investors to visit these websites from time to time, as information is updated and new information is posted.

Planned spins on track

RECENT PROGRESS

Announced new company names and branding … well received by key stakeholders

HealthCare spin milestones … plan to file confidential Form 10 shortly; submitted request for IRS private letter ruling, completed European Works Council consultation ... moving forward with number of critical employee actions, selected Nasdaq exchange

Leadership … preparing for independence & adding to existing talent (building GE HealthCare board, GE Aerospace & GE Vernova teams)

Solid foundation for three independent, investment-grade,industry-leading companies

(a - Includes any remaining stakes in AerCap and Baker Hughes and, upon close, expected 19.9% of go-forward HealthCare, as well as other assets and liabilities of GE today, including run-off Insurance operations

2Q'22 snapshot

• Aerospace strength driving order, revenue, & profit growth
• Total orders $18.7B, services +4% org , equipment +4% org ; with strength in Aerospace +26% org
• Adjusted revenues* $17.9B ... services +15% org* ; total Aerospace +27% org* , HealthCare & Power each +4% org* , Renewable Energy (20)% org*
• Adjusted profit margin* 9.3% … strength at Aerospace & Power; HealthCare pressured but stabilizing, Renewable Energy challenged
• … driving positive FCF*
• ~Flat y/y driven by earnings growth offset by working capital; 2Q inventory build for 2H ramp & supply chain challenges

Encouraging quarter ... especially in Aerospace, Power & services

Taking action - GE Aerospace & GE HealthCare

AEROSPACE - OE

Material issues

• Improvement versus 1Q
• Largest constraints: structural castings & forgings

Engine output up >3% q/q

• 6 recent LEAP supplier kaizens
• Daily management to drive throughput (e.g. Hooksett plant)
• Dedicated additional 20% of existing engineers to support delivery
• 70 manufacturability projects in 1H'22

AEROSPACE - SERVICES

• Improvement throughout 2Q
• Constraints: repairs, castings, forgings, labor gaps

Shop visit -a) output up >20% q/q

• Monthly recruiting kaizens to ramp labor across multiple sites
• ~1,600 skilled mechanics added
• Improving overhaul turn around time
• Wales Shingi … 5% faster cycle
• Multiple Repair kaizens

Mfg. lines at shortage risk

• Lowest since March '21
• Constraints: chips, resins
• Inflation from spot buys, logistics

Overdue backlog down >5% q/q

• Supplier actions, dual sources
• >6,400 alternative subcomponents/ design changes
• >20% cycle time reduction at Cork, expanded factory capacity
• Secured critical components for 2H

Lean fundamentals critical to driving improved delivery

Taking action - GE Vernova

GE's portfolio of energy businesses

POWER PLAYBOOK

RENEWABLE ENERGY FOCUS

expectation

decentralization

selectivity & underwriting

Product cost

"Fixed" cost

• Conservatively assumed & sized Gas business for ~25-30 GW global market
• Reorganized into 4 P&Ls, removed HQ
• Lean at foundation, e.g. Live Outage
• Narrow scope - equipment, Steam services
• Grow higher-margin Aero & Services
• Services escalation & list price increases
• Improved product durability
• Focused on product cost & CSA productivity
• Reduced headcount ~20% since '18
• Gas Power ~$1B reduced cost
• Developing strategy which assumes ~2,000 GE Onshore turbines/year
• Refocusing on select geographies
• Decentralizing & driving full P&L accountability
• Example: Grid reorganization into 3 P&Ls
• Embedding lean, cross functional problem solving
• Defined international strike zones
• Grow higher-margin Grid Automation, Services
• Focus on price … Onshore price improving
• Driving NPI cost curve down and industrializing supply chain for large scale production
• Proactive fleet durability actions
• Building plans to resize footprint in line with market & selectivity
• Cost actions to yield significant savings

Experienced leaders running proven playbook across businesses

This is an excerpt of the original content. To continue reading it, access the original document here .

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GE - General Electric Company published this content on 26 July 2022 and is solely responsible for the information contained therein. Distributed by Public , unedited and unaltered, on 26 July 2022 10:28:04 UTC .

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Press Release Details

Nvidia brings ai assistants to life with geforce rtx ai pcs.

TAIPEI, Taiwan, June 02, 2024 (GLOBE NEWSWIRE) -- COMPUTEX -- NVIDIA today announced new NVIDIA RTX ™ technology to power AI assistants and digital humans running on new GeForce RTX ™ AI laptops.

NVIDIA unveiled Project G-Assist — an RTX-powered AI assistant technology demo that provides context-aware help for PC games and apps. The Project G-Assist tech demo debuted with ARK: Survival Ascended from Studio Wildcard. NVIDIA also introduced the first PC-based NVIDIA NIM™ inference microservices for the NVIDIA ACE digital human platform.

These technologies are enabled by the NVIDIA RTX AI Toolkit , a new suite of tools and software development kits that aid developers in optimizing and deploying large generative AI models on Windows PCs. They join NVIDIA’s full-stack RTX AI innovations accelerating over 500 PC applications and games and 200 laptop designs from manufacturers.

In addition, newly announced RTX AI PC laptops from ASUS and MSI feature up to GeForce RTX 4070 GPUs and power-efficient systems-on-a-chip with Windows 11 AI PC capabilities. These Windows 11 AI PCs will receive a free update to Copilot+ PC experiences when available.

“NVIDIA launched the era of AI PCs in 2018 with the release of RTX Tensor Core GPUs and NVIDIA DLSS,” said Jason Paul, vice president of consumer AI at NVIDIA. “Now, with Project G-Assist and NVIDIA ACE, we’re unlocking the next generation of AI-powered experiences for over 100 million RTX AI PC users.”

Project G-Assist, a GeForce AI Assistant AI assistants are set to transform gaming and in-app experiences — from offering gaming strategies and analyzing multiplayer replays to assisting with complex creative workflows. Project G-Assist is a glimpse into this future.

PC games offer vast universes to explore and intricate mechanics to master, which are challenging and time-consuming feats even for the most dedicated gamers. Project G-Assist aims to put game knowledge at players’ fingertips using generative AI.

Project G-Assist takes voice or text inputs from the player, along with contextual information from the game screen, and runs the data through AI vision models. These models enhance the contextual awareness and app-specific understanding of a large language model (LLM) linked to a game knowledge database, and then generate a tailored response delivered as text or speech.

NVIDIA partnered with Studio Wildcard to demo the technology with ARK: Survival Ascended . Project G-Assist can help answer questions about creatures, items, lore, objectives, difficult bosses and more. Because Project G-Assist is context-aware, it personalizes its responses to the player’s game session.

In addition, Project G-Assist can configure the player’s gaming system for optimal performance and efficiency. It can provide insights into performance metrics, optimize graphics settings depending on the user’s hardware, apply a safe overclock and even intelligently reduce power consumption while maintaining a performance target.

First ACE PC NIM Debuts NVIDIA ACE technology for powering digital humans is now coming to RTX AI PCs and workstations with NVIDIA NIM — inference microservices that enable developers to reduce deployment times from weeks to minutes. ACE NIM microservices deliver high-quality inference running locally on devices for natural language understanding, speech synthesis, facial animation and more.

At COMPUTEX, the gaming debut of NVIDIA ACE NIM on the PC will be featured in the Covert Protocol tech demo , developed in collaboration with Inworld AI. It now showcases NVIDIA Audio2Face ™ and NVIDIA Riva automatic speech recognition running locally on devices.

Windows Copilot Runtime to Add GPU Acceleration for Local PC SLMs Microsoft and NVIDIA are collaborating to help developers bring new generative AI capabilities to their Windows native and web apps. This collaboration will provide application developers with easy application programming interface (API) access to GPU-accelerated small language models (SLMs) that enable retrieval-augmented generation (RAG) capabilities that run on-device as part of Windows Copilot Runtime.

SLMs provide tremendous possibilities for Windows developers, including content summarization, content generation and task automation. RAG capabilities augment SLMs by giving the AI models access to domain-specific information not well represented in ‌base models. RAG APIs enable developers to harness application-specific data sources and tune SLM behavior and capabilities to application needs.

These AI capabilities will be accelerated by NVIDIA RTX GPUs, as well as AI accelerators from other hardware vendors, providing end users with fast, responsive AI experiences across the breadth of the Windows ecosystem.

The API will be released in developer preview later this year.

4x Faster, 3x Smaller Models With the RTX AI Toolkit The AI ecosystem has built hundreds of thousands of open-source models for app developers to leverage, but most models are pretrained for general purposes and built to run in a data center.

To help developers build application-specific AI models that run on PCs, NVIDIA is introducing RTX AI Toolkit — a suite of tools and SDKs for model customization, optimization and deployment on RTX AI PCs. RTX AI Toolkit will be available later this month for broader developer access.

Developers can customize a pretrained model with open-source QLoRa tools. Then, they can use the NVIDIA TensorRT ™ model optimizer to quantize models to consume up to 3x less RAM. NVIDIA TensorRT Cloud then optimizes the model for peak performance across the RTX GPU lineups. The result is up to 4x faster performance compared with the pretrained model.

The new  NVIDIA AI Inference Manager  SDK, now available in early access, simplifies the deployment of ACE to PCs. It preconfigures the PC with the necessary AI models, engines and dependencies while orchestrating AI inference seamlessly across PCs and the cloud.

Software partners such as Adobe, Blackmagic Design and Topaz are integrating components of the RTX AI Toolkit within their popular creative apps to accelerate AI performance on RTX PCs.

“Adobe and NVIDIA continue to collaborate to deliver breakthrough customer experiences across all creative workflows, from video to imaging, design, 3D and beyond,” said Deepa Subramaniam, vice president of product marketing, Creative Cloud at Adobe. “TensorRT 10.0 on RTX PCs delivers unprecedented performance and AI-powered capabilities for creators, designers and developers, unlocking new creative possibilities for content creation in industry-leading creative tools like Photoshop.”

Components of the RTX AI Toolkit, such as TensorRT-LLM, are integrated in popular developer frameworks and applications for generative AI, including Automatic1111, ComfyUI, Jan.AI, LangChain, LlamaIndex, Oobabooga and Sanctum.AI.

AI for Content Creation NVIDIA is also integrating RTX AI acceleration into apps for creators, modders and video enthusiasts.

Last year, NVIDIA introduced RTX acceleration using TensorRT for one of the most popular Stable Diffusion user interfaces, Automatic1111. Starting this week, RTX will also accelerate the highly popular ComfyUI, delivering up to a 60% improvement in performance over the currently shipping version, and 7x faster performance compared with the MacBook Pro M3 Max.

NVIDIA RTX Remix is a modding platform for remastering classic DirectX 8 and DirectX 9 games with full ray tracing, NVIDIA DLSS 3.5 and physically accurate materials. RTX Remix includes a runtime renderer and the RTX Remix Toolkit app, which facilitates the modding of game assets and materials.

Last year, NVIDIA made RTX Remix Runtime open source, allowing modders to expand game compatibility and advance rendering capabilities.

Since RTX Remix Toolkit launched earlier this year, 20,000 modders have used it to mod classic games , resulting in over 100 RTX remasters in development on the RTX Remix Showcase Discord .

This month, NVIDIA will make the RTX Remix Toolkit open source, allowing modders to streamline how assets are replaced and scenes are relit, increase supported file formats for RTX Remix’s asset ingestor and bolster RTX Remix’s AI Texture Tools with new models.

In addition, NVIDIA is making the capabilities of RTX Remix Toolkit accessible via a REST API, allowing modders to livelink RTX Remix to digital content creation tools such as Blender, modding tools such as Hammer and generative AI apps such as ComfyUI. NVIDIA is also providing an SDK for RTX Remix Runtime to allow modders to deploy RTX Remix’s renderer into other applications and games beyond DirectX 8 and 9 classics.

With more of the RTX Remix platform being made open source, modders across the globe can build even more stunning RTX remasters.

NVIDIA RTX Video , the popular AI-powered super-resolution feature supported in the Google Chrome, Microsoft Edge and Mozilla Firefox browsers, is now available as an SDK to all developers, helping them natively integrate AI for upscaling, sharpening, compression artifact reduction and high-dynamic range (HDR) conversion.

Coming soon to video editing software Blackmagic Design’s DaVinci Resolve and Wondershare Filmora, RTX Video will enable video editors to upscale lower-quality video files to 4K resolution, as well as convert standard dynamic range source files into HDR. In addition, the free media player VLC media will soon add RTX Video HDR to its existing super-resolution capability.

Learn more about RTX AI PCs and technology by joining NVIDIA at COMPUTEX .

About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

For further information, contact: Jordan Dodge NVIDIA Corporation +1-408-566-6792 [email protected]

Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, and availability of our products, services, and technologies, including NVIDIA RTX technology, GeForce RTX AI laptops, Project G-Assist, NVIDIA NIM inference microservices, NVIDIA ACE digital human platform, NVIDIA RTX AI Toolkit, GeForce RTX 4070 GPUs, RTX Tensor Core GPUs, DLSS, NVIDIA Audio2Face, NVIDIA Riva, NVIDIA TensorRT, NVIDIA AI Inference Manager, NVIDIA RTX Remix, NVIDIA DLSS 3.5, RTX Remix Runtime, and NVIDIA RTX Video; the benefits and impact of NVIDIA’s collaboration with third parties, and the features and availability of their services and offerings; third parties using or adopting NVIDIA’s products or technologies and the benefits thereof; RAG APIs enabling developers to harness application-specific data sources and tune SLM behavior and capabilities to application needs; and NVIDIA unlocking the next generation of AI-powered experiences for over 100 million RTX AI PC users, are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features, or functions set forth herein.

© 2024 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Audio2Face, GeForce RTX, NVIDIA NIM, NVIDIA RTX and TensorRT are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at: https://www.globenewswire.com/NewsRoom/AttachmentNg/25d171ac-da6c-4ebb-880e-71d26b0f5f1e

NVIDIA RTX AI PC

NVIDIA's Project G-Assist is an RTX-powered AI assistant technology demo that provides context-aware help for PC games and apps.

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