IBM
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About IBM
IBM aspires to make a lasting, positive impact on the world by protecting the environment, advocating for inclusion, and fostering trust and transparency in both technology and business. Today’s IBM is more closely aligned with the needs of our clients. Our engagement model is simpler and more effective. And we have expanded our ecosystem by strengthening existing relationships and forging new, productive partnerships.
Today’s IBM is not simply a technology company. We are a problem-solving company and a convener of capability that brings together our colleagues, our clients, and our partners with a simple, open invitation: Let’s create. we have sharpened our focus on IBM’s unique ability to integrate technology and business expertise for our clients and our partners. Our portfolio is built around hybrid cloud and artificial intelligence (AI), the two most transformational technologies of our time.
Our go-to-market approach brings together the necessary software, consulting, and infrastructure our clients require, from across our expanding ecosystem of partners. They recognize technology as a source of competitive advantage, capable of addressing these immediate issues and future-proofing their businesses by increasing productivity, reducing costs, driving innovation, and fueling growth.
This is today’s IBM.
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Change Company | Change Company | Change Company | ||
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Overall Rating | 4.0/5 based on 21.6k reviews | 3.6/5 based on 37.9k reviews | 3.7/5 based on 87k reviews | 3.7/5 based on 51.6k reviews |
Highly Rated for | Work-life balance Skill development Job security | Job security | Job security Work-life balance | Job security |
Critically Rated for | Promotions | Salary Promotions | Promotions Salary Work satisfaction | Promotions Salary |
Primary Work Policy | Hybrid 79% employees reported | Hybrid 85% employees reported | Work from office 80% employees reported | Hybrid 62% employees reported |
Rating by Women Employees | 4.1 Good rated by 6.7k women | 3.7 Good rated by 11.3k women | 3.8 Good rated by 25.1k women | 3.8 Good rated by 14.7k women |
Rating by Men Employees | 4.0 Good rated by 13.7k men | 3.6 Good rated by 24k men | 3.7 Good rated by 56.7k men | 3.7 Good rated by 34.4k men |
Job security | 4.0 Good | 4.1 Good | 4.5 Good | 3.8 Good |
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Quantum Computing: Breakthroughs and Future Applications
- Quantum computing saw significant milestones recently, including IBM's Condor processor, which has 1,121 superconducting qubits, and Quantum System Two with three IBM Quantum Heron processors.
- At Delft University of Technology, quantum physicists controlled and manipulated spin waves on a chip using superconductors.
- Another breakthrough is the successful entanglement of individual molecules by physicists at Princeton University.
- A more efficient approach to factoring large numbers, requiring fewer quantum gates, was proposed in Oded Regev's new quantum algorithm.
- The exploding interest in the development of large-scale quantum computers led to a focus on quantum modularization.
- New error correction techniques have been developed, including machine learning-based error correction and doubling the number of qubits used.
- Quantum communication has also progressed, with quantum links and communications over subsea optical fiber cables achieved.
- The potential impact of quantum computing on several industries such as automotive, chemicals, financial services, and life sciences has been estimated at $1.3T by 2035.
- Collaborative efforts by scientists, engineers, and industry leaders are paving the way for a future where quantum computing plays a central role in our lives.
- The progress made in quantum computing highlights a shift towards operational quantum systems, edging closer to achieving quantum supremacy.
10 Detailed Artificial Intelligence Case Studies 2025
- Google DeepMind developed AlphaFold AI, predicting protein folding patterns by reducing the time needed in computational biology.
- Amazon is using predictive inventory management with AI algorithms to meet customer demands with reduced prices.
- IBM Watson is using cognitive computing, analyzing medical records, and helping health care professionals understand patient data and personalizing treatment plans.
- Zara uses AI algorithms to analyze sales data, current trends, customer preferences, and reducing unsold products at outlets.
- Netflix uses AI to provide personalized recommendations to keep users engaged for a longer period, enhancing their overall viewing experience.
- JP Morgan's Contract Intelligence analyzes and interprets legal data accurately and efficiently by using NLP to extract relevant information from documents.
- Microsoft's Seeing AI helps visually impaired people by resorting to vividly describing their surroundings and creates a range of tools for people with disabilities.
- Alibaba's City Brain processes real-time traffic data and uses it to predict traffic patterns and optimize the timing of traffic lights, reducing congestion.
- Deep 6 AI identifies eligible candidates for clinical trials by sifting through extensive medical data, revolutionizing healthcare clinical trials.
- NVIDIA's graphic processing technologies and AI-driven DLSS provide detailed and highly realistic gaming graphics, creating new standards in gaming graphics.
AI decision-making: Where do businesses draw the line?
- As AI is increasingly deployed, who is held accountable if it makes poor choices? This shift has led to an uptick in AI decision-making that leverages intelligent tools to arrive at accurate answers. Approaches to decision-making must account for ethical considerations, determine levels of risk, and prioritize trust. Ultimately, current conditions create blurry lines regarding accountability where AI usage has outpaced legislation. Regardless of each company's approach to utilizing AI, the core principle remains that for AI-driven decisions, there's no hard-and-fast line that's defined by risk, reward, and outcomes.
- According to the IBM Global AI Adoption Index 2023, 42% of enterprises have actively deployed AI, and 40% are experimenting with the technology. Of those using AI, 59% have accelerated their investments. Data from IBM's recent AI in Action report shows leaders stating that AI has driven more than a 25% improvement in revenue growth rates, and 72% say that the C-suite is fully aligned with IT leadership about what comes next.
- As a result, how AI is used in decision-making depends largely on what it’s making decisions about and how these decisions impact both the company making the decisions and those the decision affects. When it comes to high stakes, look at the medical industry.
- For some companies, even the worst-case scenario is a minor inconvenience whereas, in others, the results could cause significant harm. In April 2024, a Tesla operating in “full self-driving” mode struck and killed a motorcyclist. The driver is the obvious choice and was arrested on charges of vehicular homicide.
- This is the paradox of AI decision-making: Is someone at fault, or is everyone? Ensuring alignment with ethical principles, reducing the risk of wrong choices, and engendering stakeholder and customer trust is needed. Businesses are best served by keeping humans in the loop. When it comes to AI-driven decisions, there's no hard-and-fast line. It’s a moving target, one defined by possible risk, potential reward, and probable outcomes.
- When it comes to ethical dilemmas, AI cannot do it. Any decision involving ethical questions or concerns should include human oversight. Risk is an AI specialty. What statistical models do is give you something called a standard error, which lets you know if what AI is recommending has a high or low potential variability.
- To bolster trust in AI use, companies should communicate how and why they’re using AI. Approaches to decision-making must account for ethical considerations, determine levels of risk, and prioritize trust. Current conditions create blurry lines regarding accountability where AI usage has outpaced legislation. Regardless of each company's approach to utilizing AI, the core principle remains that for AI-driven decisions, there's no hard-and-fast line that's defined by risk, reward, and outcomes.
- Enterprises are implementing intelligent tools to improve business outcomes. For example, wealth management firm Consult Venture Partners deployed AIda-AI, which answered 92% of queries correctly, and 47% of queries led to webinar registrations and 39% of inquiries turned into leads.
- According to Guy Pearce, AI involved with evaluating credit scores and issuing loans is relatively low stakes. High stakes industries, for example, the medical industry, should include human oversight in any decision making that involves ethical questions.
- Whatever approach enterprises choose, however, the core message remains the same: When it comes to AI-driven decisions, there’s no hard-and-fast line that's defined by risk, reward, and outcomes; it’s a moving target.
- Legislation hasn’t kept pace with increasing AI usage. To ensure alignment with ethical principles, reducing the risk of wrong choices, and engendering stakeholder and customer trust, businesses are best served by keeping humans in the loop.
5 Top Cryptos To Buy Today, Elluminex Debuts With 4 Other Undervalued Coins
- Elluminex is a DeFi project being built on the TON blockchain, offering utility-focused features and high potential.
- Toncoin is deepening its integration with Telegram, positioning itself as the go-to currency for in-app purchases and advertising.
- Stellar provides a strong alternative for international payments, with partnerships in place for global remittances.
- Hedera Hashgraph is an enterprise-focused blockchain backed by Google and IBM, offering scalable solutions.
- Near Protocol is quietly building advanced technology in blockchain, with sharding and developer-friendly environment.
This quantum computer built on server racks paves the way to bigger machines
- Canadian startup Xanadu has built a modular photonic quantum computer called Aurora that can be easily scaled up.
- Aurora uses photonic qubits encoded in light, differentiating it from superconducting circuit-based quantum computers by Google and IBM.
- The modular design of Aurora consists of four units installed in server racks, allowing for scalability by networking multiple units together.
- Xanadu's progress is considered promising, although they currently have fewer qubits compared to competitors, but photonic quantum computers offer advantages such as resistance to environmental noise and ease of networking.
Decoding the Surge: A Deep Dive into the Artificial Intelligence Market
- The artificial intelligence market is being driven by factors such as data explosion, computational power, increased investment, and an increase in business requirements.
- The market is segmented based on components, technology, and industry verticals. Key players in the market include Cisco Systems, Google, IBM, Intel, and Micron Technology.
- Threats to the AI market include privacy and security concerns, ethical issues, and regulatory challenges.
- Despite challenges, the AI market has tremendous growth potential, with advancements in machine learning and increasing demand for automation.
IBM shares rise 9% on earnings beat
- IBM reported fourth-quarter earnings that exceeded Wall Street expectations.
- The shares initially surged 10% in extended trading before settling at a 9% increase.
- IBM's net income for the quarter was $2.92 billion, compared to $3.29 billion in the same period last year.
- IBM expects growth of about 5% and $13.5 billion in free cash flow in 2025.
Shruti Tewari Moves Up as the Executive Director of Human Resources and Employee Experience at JPMorganChase
- Shruti Tewari has been appointed as the new Executive Director of Human Resources and Employee Experience at JPMorganChase.
- Tewari joined JPMorgan Chase in September 2022 as Vice President - HR, Employee Digital, and Service Experience.
- Before JPMorgan Chase, Tewari gained experience in top organizations like DarwinBox, EY, Aditya Birla Group, and IBM Software Labs.
- Her expertise lies in human resources, employee engagement, and digital transformation in HR.
Chip Industry Technical Paper Roundup: Jan. 28
- New technical papers recently added to Semiconductor Engineering’s library:
- - SRAM and Mixed-Signal Logic With Noise Immunity in 3nm Nano-Sheet Technology - IBM
- - DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning - DeepSeek
- - Novel Trade-offs in 5 nm FinFET SRAM Arrays at Extremely Low Temperatures - University of Stuttgart, IIT Kanpur, National Yang Ming Chiao Tung University, Khalifa University, and TU Munich
- - Learning in Log-Domain: Subthreshold Analog AI Accelerator Based on Stochastic Gradient Descent - Imperial College London
GSK strikes £50m deal with Oxford University on cancer vaccines; dollar rises after Trump U-turn on Colombia tariffs – business live
- GlaxoSmithKline (GSK) signs £50m deal with Oxford University on cancer vaccines
- Dollar rises after Trump reverses decision on Colombia tariffs
- European tech stocks decline while Chinese AI company DeepSeek launches new product
- Corporate updates expected from Boeing, Starbucks, Intel, IBM, Chevron, and Exxon Mobil
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