An old well established and trusted tech brand pivoting to AI that has a high dividend yield is IBM, which has been around for more than a century and is known for both its hardware and software products.
IBM is investing heavily in AI, cloud computing, and quantum computing, and has recently acquired several AI start-ups, such as Instana, Turbonomic, and Waeg.
IBM also has a partnership with OpenAI, one of the leading AI research organizations, to provide cloud infrastructure for its AI models.
Investors who love IBM expect the company to grow its earnings by around 10% annually over the next five years. Investors were also impressed with IBM’s dividend yield, which is currently around 4.5%. Dividends are a great way to generate passive income.
IBM is not the only tech company that is pivoting to AI. Google, Microsoft, and Anthropic are competing in the field of generative AI, which can create text, images, music, and more from natural language prompts.
Integrate generative AI
These companies are attempting to integrate generative AI into their products and services, such as search engines, maps, word processors, office applications, chatbots, and more. Generative AI is seen as a game-changer for many industries and applications, and could potentially disrupt the dominance of Big Tech.
Legacy companies can pivot to a platform model, which is a business strategy that connects producers and consumers of value through a digital interface. Platform companies like Facebook, Amazon, Google, and Tencent have created value at stunning rates, and have grown rapidly and own large market shares.
IBM mainframe from the 1970’s
Legacy companies can leverage their existing systems, such as customer relationships, data, and brand recognition, to create platforms that offer impressive and immersive products and services.
Other successful platform pivots are Disney+, which transformed Disney from a media producer to a media platform; Nike+, which connected Nike’s physical products with digital services; and John Deere, which created a platform for precision agriculture.
David Ferrucci, a prominent artificial intelligence researcher who led the team that created IBM Watson, has reportedly raised nearly $60 million for his AI company called Elemental Cognition.
Headquartered in New York, Elemental says on its website that the company seeks to develop AI that ‘thinks before it talks‘. It offers two enterprise products, Cogent and Cora, which are essentially chatbots designed for different scenarios. They can be used in financial services, interactive travel planning and for automating research discovery in life sciences.
Elemental Cognition
The new startup company is called Elemental Cognition, and it was founded in 2015 by David Ferrucci, who led the team that created IBM Watson.
Elemental Cognition aims to develop AI that ‘thinks before it talks‘ and can understand the meaning and context of human language. It offers two enterprise products, Cogent and Cora, which are chatbots for different scenarios.
Elemental Cognition has raised $60 million in funding from 17 investors, including Jim Breyer, former IBM CEO Sam Palmisano, and Geoff Yang of Redpoint Ventures.
What is IBM Watson?
IBM Watson is used in various areas of AI, such as natural language processing, machine learning, computer vision, speech recognition, and knowledge representation. IBM Watson is a cognitive computing system that can process natural language, analyze large amounts of data, and learn from its interactions with humans and machines.
IBM Watson is a question-answering computer system capable of answering questions posed in natural language, developed in IBM’s DeepQA project by a research team led by principal David Ferrucci. Watson was named after IBM’s founder and first CEO, industrialist Thomas J. Watson.
Watson Assistant: A chatbot platform that allows businesses to create conversational agents that can interact with customers and employees through text or voice. Watson Assistant can understand natural language, provide personalized responses, and integrate with other services and data sources.
A watercolour image of an AI microchip powering a mainframe supercomputer computer
Watson Discovery: A data analysis tool that can extract insights from structured and unstructured data, such as documents, web pages, social media posts, and images. Watson Discovery can perform natural language understanding, sentiment analysis, entity extraction, and document classification.
Watson Studio: A cloud-based platform that enables data scientists and developers to build, train, and deploy AI and machine learning models. Watson Studio supports various frameworks and languages, such as Python, TensorFlow, PyTorch and R. Watson Studio also provides tools for data visualization, collaboration, and automation.
Watson Visual Recognition: A computer vision service that can analyze images and videos for content, objects, faces, scenes, and emotions.
Power
The IBM Watson computer consists of a cluster of ninety IBM Power 750 servers, each of which uses a 3.5 GHz POWER7 eight-core processor, with four threads per core. The system has 2,880 POWER7 processor threads and 16 terabytes of RAM. It can process 500 gigabytes (the equivalent of a million books) per second.
Supercomputer now with AI power
The IBM Watson computer has an avatar that is inspired by the IBM ‘Smarter Planet’ logo. The avatar is a globe with a grid pattern and four glowing stripes that represent the four main aspects of Watson: natural language processing, hypothesis generation and evaluation, dynamic adaptation, and evidence-based learning. The avatar also changes color and brightness depending on Watson’s mood and confidence level.
International Business Machines (IBM)
IBM was founded in 1911 in Endicott, New York, as the Computing-Tabulating-Recording Company (CTR) by Charles Ranlett Flint. The company changed its name to International Business Machines (IBM) in 1924 under the leadership of Thomas J. Watson, Sr. IBM is one of the oldest and most influential technology companies in the world, with a history of innovation and research in various fields of computing.
The International Business Machines Corporation (IBM), nicknamed ‘Big Blue’, is an American multinational technology corporation headquartered in New York and is present in over 175 countries. It specializes in computer hardware, middleware, and software, and provides hosting and consulting services in areas ranging from mainframe computers to nanotechnology. IBM is the largest industrial research organization in the world.
IBM holds the record for most annual U.S. patents generated by a business for 29 consecutive years from 1993 to 2021?
Arm is a British semiconductor and software design company that is known for its Arm processors, which are widely used in smartphones, tablets, laptops, and other devices. Arm was founded in 1990 as a joint venture between Acorn Computers, Apple Computer, and VLSI Technology. The company was originally called Advanced RISC Machines, but later changed its name to Arm Ltd in 1998.
In 1985, the first Arm silicon chip was created by Acorn engineers Sophie Wilson and Steve Furber, who designed a 32-bit processor with a simple and elegant instruction set.
In 1990, Arm was spun off from Acorn as a separate company, with Apple as a major investor. Arm’s first product was the ARM6 processor, which was used in Apple’s Newton personal digital assistant.
Impression of the Apple Newton PDA device
In 1993, Arm introduced the ARM7 processor, which became one of the most successful embedded processors in history. It was used in devices such as the Nokia 6110 mobile phone, the Nintendo Game Boy Advance, and the Lego Mindstorms robotics kit.
In 1994, Arm launched the ARM9 processor family, which offered higher performance and lower power consumption than previous generations. The ARM9 was used in devices such as the Sony PlayStation Portable, the Palm Treo smartphone, and the Amazon Kindle e-reader.
In 1997, Arm introduced the ARM10 processor family, which featured a superscalar architecture and a floating-point unit. The ARM10 was used in devices such as the Apple iPod, the Samsung Galaxy S smartphone, and the Raspberry Pi computer.
In 1998, Arm changed its name from Advanced RISC Machines to Arm Ltd, reflecting its global expansion and recognition.
In 1999, Arm launched the ARM11 processor family, which featured a vector floating-point unit and a TrustZone security extension. The ARM11 was used in devices such as the iPhone 3G, the Nintendo DS, and the Raspberry Pi Zero.
In 2000, Arm became a public company, listing on the London Stock Exchange and the Nasdaq. The company raised £213 million in its initial public offering.
In 2001, Arm introduced the Cortex processor family, which offered a range of performance, power, and cost options for different applications. The Cortex processors are used in devices such as the Samsung Galaxy S10, the Apple Watch, and the Tesla Model 3.
In 2005, Arm acquired Artisan Components, a provider of physical intellectual property (IP) for chip design. This enabled Arm to offer a complete solution for system-on-chip (SoC) development.
In 2006, Arm announced the Mali graphics processing unit (GPU) family, which complemented its CPU offerings with high-performance graphics capabilities. The Mali GPUs are used in devices such as the Huawei Mate 20 Pro, the Oculus Quest, and the Samsung Smart TV.
Artistic image of ARM chip
In 2009, Arm partnered with IBM, Samsung, Texas Instruments, and others to form the Linaro consortium, which aimed to improve the Linux software ecosystem for Arm-based devices.
In 2010, Arm unveiled the Cortex-A15 processor, which was the first Arm processor to support virtualization and big.LITTLE technology. The Cortex-A15 was used in devices such as the Google Nexus 10, the LG G3, and the Nintendo Switch.
In 2011, Arm announced the Cortex-M0+ processor, which was the world’s most energy-efficient microcontroller. The Cortex-M0+ was used in devices such as the Arduino Nano 33 IoT, the Fitbit Flex 2, and the Nest Thermostat.
In 2012, Arm launched the Cortex-A53 and Cortex-A57 processors, which were the first Arm processors to support the 64-bit ARMv8 architecture. The Cortex-A53 and Cortex-A57 were used in devices such as the iPhone 6s, the Samsung Galaxy S6 Edge+, and the Microsoft Surface Pro X.
In 2013, Arm acquired Geomerics, a developer of real-time lighting technology for video games. This enhanced Arm’s graphics portfolio with dynamic illumination and global illumination effects.
In 2014, Arm introduced the Cortex-A72 processor, which delivered a 50% performance improvement over the previous generation. The Cortex-A72 was used in devices such as the Huawei P9, the Xiaomi Mi 5s Plus, and the Amazon Fire HD 10.
In 2015, Arm announced the Cortex-A35 processor, which was the most efficient Arm processor for smartphones and tablets. The Cortex-A35 was used in devices such as the Nokia 2.1, the Samsung Galaxy J2 Core, and the Lenovo Tab M7.
In 2016, Arm was acquired by SoftBank Group for £24.3 billion, becoming a subsidiary of the Japanese conglomerate. The deal was motivated by SoftBank’s vision of investing in technologies that would drive the future of artificial intelligence (AI), internet of things (IoT), and smart cities.
In 2017, Arm launched Project Trillium, a suite of machine learning (ML) solutions that included an ML processor , an object detection processor , and an open-source software framework. The Project Trillium products aimed to enable low-power and high-performance ML applications on edge devices.
In 2018, Arm unveiled the Cortex-A76 processor , which offered a 35% performance boost over its predecessor. The Cortex-A76 was used in devices such as the OnePlus 7T, the Huawei MateBook D14, and the Acer Chromebook Spin 13.
In 2019, Arm announced the Cortex-A77 processor , which improved on its predecessor with a higher clock speed, a larger cache, and better branch prediction . The Cortex-A77 was used in devices such as the Samsung Galaxy S20, the Asus ROG Phone II, and the Lenovo Yoga C940.
In 2020, Arm introduced the Cortex-X1 processor , which was its most powerful CPU design to date. The Cortex-X1 was designed to deliver peak performance for premium device , such as flagship smartphones, laptops and gaming consoles. The Cortex-X1 was used in devices such as the Samsung Galaxy S21 Ultra, the Xiaomi Mi 11, and the Google Pixel 6.
In 2021, Arm launched the Cortex-A78C processor , which was optimized for high-performance computing (HPC) applications. The Cortex-A78C featured up to eight CPU cores , a larger L3 cache, and support for ECC memory. The Cortex-A78C was used in devices such as the Samsung Galaxy Book Pro, the HP Elite Folio , and the Acer Chromebook Spin 513.
Microchip
In 2022, Arm unveiled the Cortex-A710 processor, which was its first big core to support the Armv9 architecture. The Cortex-A710 offered a 30% energy efficiency improvement over its predecessor, as well as enhanced security and ML features. The Cortex-A710 was used in devices such as the OnePlus 10 Pro, the Huawei MatePad Pro 2, and the Microsoft Surface Laptop Studio.
In 2023, Arm announced the Immortalis GPU family , which was its next-generation graphics solution that included hardware-based ray-tracing and variable rate shading capabilities . The Immortalis GPUs aimed to deliver realistic and immersive graphics for gaming, VR and AR applications on mobile devices . The Immortalis GPUs were used in devices such as the Samsung Galaxy S22 Ultra , the Sony Xperia 1 IV, and the Oculus Quest 3.
Powerful world presence
Arm is a leading semiconductor and software design company that has revolutionized the computing industry with its innovative and efficient processor architectures. Arm’s processors power billions of devices across various domains, such as mobile, IoT, AI, HPC, and gaming. Arm has been at the forefront of technological advancements for over three decades, delivering performance, energy efficiency, and security to its customers and partners.
Arm is a subsidiary of SoftBank Group and has a massive global presence.
British microchip designing giant Arm has announced that it has filed paperwork to sell its shares in the U.S.
The Cambridge-based company, which designs chips for devices from smartphones to game consoles, plans to list on New York’s Nasdaq in September. The highly anticipated IPO in the U.S. comes after UK Prime Minister, failed to convince Arm to float in London or pursue a dual UK-U.S. listing.
Arm’s decision to list in New York rather than London has fuelled fears that the City is losing its competitiveness to Wall Street, where valuations are typically higher. SoftBank-owned chip designer Arm on 21st August 2023 disclosed a modest 1% fall in annual revenue as it made public the paperwork for a U.S. listing that is expected to be the year’s biggest initial public offering. The company is reportedly looking for a valuation of between $60bn (£47bn) to $70bn.
Arm was bought in 2016 by Japanese conglomerate Softbank in a deal worth £23.4bn. Prior to the takeover, it was listed in both London and New York for 18 years.
Companies that use ARM processors in their products
Some of the companies that use ARM processors include Apple, Qualcomm, Samsung, Broadcom, and Fujitsu. ARM technology is used in a wide range of devices, from smartphones to game consoles to supercomputers.
ARM
Arm is a British semiconductor and software design company that is known for its Arm processors, which are widely used in smartphones, tablets, laptops, and other devices. Arm was founded in 1990 as a joint venture between Acorn Computers, Apple Computer, and VLSI Technology. The company was originally called Advanced RISC Machines, but later changed its name to Arm Ltd in 1998.
