
IBM


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8% above

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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 22.1k reviews ![]() | 3.6/5 based on 39.3k reviews | 3.7/5 based on 89.8k reviews | 3.7/5 based on 53.1k 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 Work satisfaction | Promotions Salary Work satisfaction | Promotions Salary |
Primary Work Policy | Hybrid 80% employees reported | Hybrid 86% employees reported | Work from office 81% employees reported | Hybrid 62% employees reported |
Rating by Women Employees | 4.0 Good rated by 6.9k women | 3.7 Good rated by 11.7k women | 3.8 Good rated by 26k women | 3.8 Good rated by 15.2k women |
Rating by Men Employees | 4.0 Good rated by 14k men | 3.5 Good rated by 25k men | 3.6 Good rated by 58.6k men | 3.7 Good rated by 35.4k men |
Job security | 4.0 Good | 4.1 Good | 4.5 Good | 3.8 Good |
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LLM + RAG: Creating an AI-Powered File Reader Assistant
- AI technology makes daily tasks easier by automating processes such as proofreading and email follow-ups.
- While LLMs have general uses, specific business applications may require adjustments for optimal performance.
- RAG combines external knowledge bases with LLMs to enhance accuracy and relevance in responses.
- RAG acts as an internal search engine, allowing models to retrieve and augment data for improved knowledge.
- A practical application of RAG is creating an AI-powered PDF Reader Assistant using NLP tools.
- The process involves preparing a content store, importing necessary modules, and utilizing OpenAI Key or Hugging Face Embedding.
- In the project, the RAG framework enables the LLM to provide precise responses using additional knowledge sources.
- By enhancing the LLM with domain-specific data, AI can effectively address queries with specialized content.
- The RAG process involves receiving user queries, retrieving relevant documents, augmenting context, and generating responses.
- References to further explore RAG include GitHub, Cloud Google, IBM Think topics, and relevant documentation sources.

BMO Chief AI and Data Officer: Bank to Harness Quantum Computing by Year’s End
- BMO Financial Group plans to harness quantum computing benefits by the end of this year, following its joining of the IBM Quantum Network.
- The bank aims to leverage quantum-powered solutions for optimizing investment strategies and risk management.
- Quantum computing, though not yet widely applicable, has reached a state of utility in certain scenarios.
- BMO believes IBM will provide sufficient quantum compute power for practical use by year-end.
- The bank emphasizes a digital-first approach with a focus on AI agents for improving various operational areas.
- Generative AI limitations in scalability and accuracy are noted, with emphasis on future advancements for enhanced usability.
- BMO's AI tools include portfolio understanding chatbots, pricing and risk management agents, and digital assistants for automating processes.
- Ongoing AI initiatives at the bank include customer call analysis, compliance automation, and cash shortfall prediction using AI algorithms.
- Regulatory constraints require human oversight for AI agents in banking operations.
- BMO aims to offer hyper-personalized client experiences through AI tools and emphasizes responsible AI deployment.
- Advice from BMO's Chief AI and Data Officer includes fostering an innovative mindset, eliminating outdated processes, and embracing boldness amidst technological changes.

How I Made My Liberty Microservices Load-Resilient
- The article discusses how the author's team optimized their microservices architecture to make it load-resilient, using IBM Liberty as the foundation.
- Strategies were implemented to increase throughput and ensure performance gracefully degrades at peak load.
- The architecture involved Istio for service-to-service communication, IBM Cloud Internet Services for addressing internet exposure issues, a Kubernetes cluster for orchestration, and various layers like Data Layer, User Layer, and Customer Private Cloud.
- An incident highlighted issues like Java microservices spikes, thread hangs, and requests surpassing rate limits.
- Existing resilience measures included public traffic rate limiting, high availability configurations, connection pooling, and timeouts, among others.
- New strategies introduced focused on thread pool management, connection pool management, timeouts adjustments, rate limiting implementations, and the use of the latest software versions.
- Improvements were seen in reduced latency, improved concurrent request handling, and a decrease in errors during the incident.
- Key takeaways included the importance of teamwork, logging, monitoring, expertise in tools like Kubernetes and Istio, graceful failure handling, and feature flags for debugging.
- Emphasizing that resilience is an ongoing process, the article concludes by highlighting the significance of proactive monitoring, optimized configurations, and continual learning to ensure a fault-tolerant architecture.

AI takes the field: How Sevilla FC and IBM are transforming player scouting
- Sevilla FC and IBM are leveraging AI for player scouting, enhancing talent identification in a mature way.
- Dr. Elias Zamora Sillero of Sevilla FC discusses the evolving role of AI and generative AI in player evaluation.
- Sevilla FC integrates AI and generative AI into recruiting strategy to efficiently process data and identify key player traits.
- The club's AI approach evaluates player value based on skills, age, and other factors for optimal recruitment decisions.
- AI empowers Sevilla FC to make data-driven choices, enhancing player development and team performance.
- The partnership between IBM and Sevilla FC focuses on innovation, human elements, and leveraging AI for player evaluation.
- IBM's expertise in AI and data analytics contributes to Sevilla FC's implementation of AI-powered scouting solutions.
- Collaboration with IBM's team has been instrumental in Sevilla FC's success, combining technology with football knowledge.
- The human perspective in technology, emphasized by IBM, complements Sevilla FC's proficiency in football technology and data.
- By merging technology and human insight, Sevilla FC has excelled in developing innovative solutions for player evaluation.

HBAR ETFs and Why They Matter
- HBAR is steadily gaining popularity and securing its position in the crypto industry.
- HBAR is a hybrid network based on DAG (Directed Acyclic Graphs), offering parallel processing and lower maintenance costs.
- Major technology companies have invested in Hedera, including Google, IBM, and Boeing.
- Canary Capital and Nasdaq have filed applications with the SEC for HBAR ETFs, indicating institutional interest in the token.

Java News Roundup: Stable Values, Spring Modulith, Open Liberty, Quarkus, JReleaser, Gradle
- This Java news roundup covers various updates in the Java ecosystem, including JEP 502, Stable Values (Preview), Proposed to Target for JDK 25, and JEP 503, Remove the 32-bit x86 Port.
- JDK 24 and JDK 25 have seen new early-access builds with bug fixes and updates, encouraging developers to report bugs via the Java Bug Database.
- Jakarta EE 11 and 12 are progressing, with various components submitting plans for release reviews and ongoing activities, such as Jakarta NoSQL 1.0 review.
- Spring Modulith has released new versions addressing bug fixes, dependency upgrades, and introducing new features like ApplicationModuleIdentifiers and ApplicationModuleMetadata.
- Quarkus 3.19 introduces bug fixes, dependency upgrades, and new features like support for JEP 483, Ahead-of-Time Class Loading & Linking, and resolutions for various CVEs affecting previous releases.
- Open Liberty version 25.0.0.2 has been released by IBM with new features such as AES-256 password encryption and guides on building dynamic web applications.
- Apache Software Foundation has released Camel Quarkus 3.19.0 and Apache Groovy versions 4.0.26 and 3.0.24, featuring bug fixes, dependency upgrades, and improvements.
- JReleaser version 1.17.0, a Java utility for project releases, brings bug fixes, documentation improvements, dependency upgrades, and new features like parameterized distributions with the Matrix section.
- Gradle 8.13.0 update includes a new auto-provisioning utility, explicit Scala version configuration, and refined millisecond precision in JUnit XML test event timestamps.
- These updates reflect the continuous evolution and improvement in the Java ecosystem to enhance performance, security, and developer experience.

From Six Seconds to Seamless: How We Rebuilt Our AI Voice Agent From the Ground Up
- The article discusses the rebuilding of an AI voice agent system from the ground up, fueled by underwhelming results with IBM Watson's Voice Gateway.
- Facing latency issues and limited customization options, the team embraced a first-principles approach and developed an in-house orchestrator and Voice Gateway.
- They focused on scalability and integration with any dialer, diving deep into WebRTC and VoIP technologies for efficient communication.
- The team leveraged WebRTC for voice transmission efficiency and implemented robust VoIP protocols for call management and routing complexities.
- By architecting a custom Voice Gateway, they bridged the gap between audio inputs/outputs and text-based backend communication.
- Strategic partnerships with dialer providers facilitated a rapid go-to-market strategy, deploying the AI voice agent to a wide customer base.
- The new architecture was designed for rapid scaling, enterprise-grade readiness, and compliance with security standards, catering to BFSI clients.
- By taking control of the core voice technology, the team improved performance, reduced latency, streamlined model selection, and enabled on-premise deployment.
- Lessons learned include the importance of a tailored solution, innovative thinking, collaboration, and challenging the status quo in product management.
- The success of the project showcased the team's ability to overcome challenges and deliver an AI voice agent that exceeds expectations in functionality, scalability, security, and customization.

Quantum Computing: The Future of Technology and Italy’s Role in the Race
- Tech giants like IBM, Google, and Amazon are making progress in developing quantum processors, with companies like Rigetti Computing, IonQ, and D-Wave also contributing.
- Countries recognize the strategic importance of quantum computing, with the U.S. investing heavily through the National Quantum Initiative and Israel positioning itself as a leader in quantum innovation.
- Defense and military organizations are investing in quantum technology, with the U.S. Air Force Research Lab awarding IonQ a $54.4 million contract.
- Italy's investment in quantum computing is lagging behind compared to its global competitors, but it has the potential to reclaim its position as a leader in innovation.

IBM AI Releases Granite 3.2 8B Instruct and Granite 3.2 2B Instruct Models: Offering Experimental Chain-of-Thought Reasoning Capabilities
- IBM Research AI has introduced the Granite 3.2 Language Models, a family of instruction-tuned LLMs designed for enterprise applications.
- The Granite 3.2 models include Granite 3.2-2B Instruct, a compact and efficient model, and Granite 3.2-8B Instruct, a more powerful variant.
- The models have been trained using a mixture of curated enterprise datasets and diverse instruction-based corpora, ensuring they perform well across various industries.
- The Granite 3.2 models outperform existing instruction-tuned LLMs on key enterprise use cases, achieving higher accuracy, lower inference latency, and maintaining contextual awareness for multi-turn conversations.
X’s Valuation Grows
- Banks led by Morgan Stanley have successfully sold $4.74 billion worth of secured loans related to Elon Musk's Twitter purchase.
- Investors purchasing the debt will earn a 9.5% annual return and the debt was priced at 100 cents on the dollar.
- Under Musk's leadership, X (formerly known as Twitter) struggled with declining ad revenue, but companies like IBM and Disney are now spending ad dollars again on the platform.
- Musk is in talks to raise funds for X at a valuation of $44 billion, despite Fidelity Investments marking down the value of its shares in X by 71.5% last year.

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