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IBM y la NASA crean un modelo fundacional de IA geoespacial de código abierto en Hugging Face
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#Acuerdo de Ley Espacial#AI#Código abierto#Clark University#Clima#Datos geoespaciales#Datos Satelitales#Deforestación#Gases de efecto invernadero#Harmonized Landsat Sentinel-2 satellite data#HLS#Hugging Face#IA#IBM#IBM Environmental Intelligence Suite#IBM Watsonx#Imágenes Satelitales#Iniciativa Científica de Código Abierto#Inteligencia Artificial#Nasa#satélite#watsonx#watsonx.ai
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IBM Unveils Next Chapter of watsonx with Open Source, Product & Ecosystem Innovations to Drive Enterprise AI at Scale
Releases a family of IBM Granite models into open source, including its most capable and efficient Code LLMs that can out-perform larger code models on many industry benchmarks
Jointly with Red Hat, launches InstructLab, a first-of-its-kind model alignment technique, to bring open-source community contributions directly into LLMs
Unveils new vision and momentum for new data and automation…
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Mizuho & IBM Partner on Gen AI PoC to Boost Recovery Times
IBM and Mizuho Financial Group, worked together to create a proof of concept (PoC) that uses IBM’s enterprise generative AI and data platform, watsonx, to increase the effectiveness and precision of Mizuho’s event detection processes.
During a three-month trial, the new technology showed 98% accuracy in monitoring and reacting to problem alerts. Future system expansion and validation are goals shared by IBM and Mizuho.
The financial systems need to recover accurately and quickly after an interruption.
However, operators frequently receive a flood of messages and reports when an error is detected, which makes it challenging to identify the event’s source and ultimately lengthens the recovery period.
In order to solve the problem, IBM and Mizuho carried out a Proof of Concept using Watsonx to increase error detection efficiency.
In order to reduce the number of steps required for recovery and accelerate recovery, the Proof of Concept (PoC) integrated an application that supported a series of processes in event detection with Watsonx and incorporated patterns likely to result in errors in incident response.
By utilising Watsonx, Mizuho was also able to streamline internal operations and enable people on-site to configure monitoring and operating menus in a flexible manner when greater security and secrecy are needed.
In the upcoming year, Mizuho and IBM intend to extend the event detection and reaction proof of concept and integrate it into real-world settings. To increase operational efficiency and sophistication, Mizuho and IBM also intend to cooperate on incident management and advanced failure analysis using generative AI.
WatsonX for Proof of Concept (PoC)
IBM’s WatsonX is an enterprise-grade platform that integrates generative AI capabilities with data. It is therefore an effective tool for creating and evaluating AI solutions. This is a thorough examination of WatsonX use for a PoC:
Why Would a PoC Use WatsonX?
Streamlined Development: WatsonX can expedite the Proof of Concept development process by providing a pre-built component library and an intuitive UI.
Data Integration: It is simpler to include the data required for your AI model since the platform easily integrates with a variety of data sources.
AI Capabilities: WatsonX comes with a number of built-in AI features, including as computer vision, machine learning, and natural language processing, which let you experiment with alternative strategies within your proof of concept.
Scalability: As your solution develops, the platform can handle handling small-scale experimentation for your Proof of Concept.
How to Use a WatsonX PoC
Establish your objective: Clearly state the issue you’re attempting to resolve or the procedure you wish to use AI to enhance. What precise results are you hoping to achieve with your PoC?
Collect Information: Determine the kind of data that your AI model needs to be trained on. Make that the information is adequate, correct, and pertinent for the PoC’s scope.
Select Usability: Based on your objective, choose the WatsonX AI functionalities that are most relevant. Computer vision for image recognition, machine learning for predictive modelling, and natural language processing for sentiment analysis are examples.
Create a PoC: Create a rudimentary AI solution using WatsonX’s tools and frameworks. This could entail building a prototype with restricted functionality or training a basic model.
Test & Assess: Utilise real-world data to evaluate your proof of concept’s efficacy. Examine the outcomes to determine whether the intended goals were met. Point out any places that need work.
Refine and Present: Make iterations to the data, model, or functions to improve your Proof of Concept based on your assessment. Present your results to stakeholders at the end, highlighting the PoC’s shortcomings and areas for future improvement.
Extra Things to Think About
Keep your point of contact (PoC) concentrated on a single issue or task. At this point, don’t try to develop a complete solution.
Success Criteria: Prior to implementation, clearly define your PoC’s success metrics. This may entail cost-cutting, efficiency, or accuracy.
Ethical Considerations: Consider the ethical ramifications of your AI solution as well as any potential biases in your data.
Goal of Collaboration:
Boost Mizuho’s event detection and reaction activities’ precision and efficiency.
Technology Employed:
IBM’s WatsonX is a platform for corporate generative AI and data.
What they Found Out:
Created a proof of concept (PoC) that monitors error signals and reacts with WatsonX.
Over the course of a three-month study, the PoC attained a 98% accuracy rate.
Future Objectives:
Increase the breadth of the event detection and response situations covered by the PoC.
After a year, implement the solution in actual production settings.
To further streamline operations, investigate the use of generative AI for enhanced failure analysis and issue management.
Total Effect:
This project demonstrates how generative AI has the ability to completely transform the banking industry’s operational effectiveness. Mizuho hopes to increase overall business continuity and drastically cut down on recovery times by automating incident detection and reaction.
Emphasis on Event Detection and Response: The goal of the project is to enhance Mizuho’s monitoring and error-messaging processes by employing generative AI, notably IBM’s WatsonX platform.
Effective Proof of Concept (PoC): Mizuho and IBM worked together to create a PoC that showed a notable increase in accuracy. During a three-month trial period, the AI system identified and responded to error notifications with a 98% success rate.
Future Plans: Mizuho and IBM intend to grow the project in the following ways in light of the encouraging Proof of Concept outcomes:
Production Deployment: During the course of the upcoming year, they hope to incorporate the event detection and response system into Mizuho’s live operations environment.
Advanced Applications: Through this partnership, generative AI will be investigated for use in increasingly difficult activities such as advanced failure analysis and incident management. This might entail the AI automatically identifying problems and making recommendations for fixes, therefore expediting the healing procedures.
Overall Impact: This project demonstrates how generative AI has the ability to completely transform financial institutions’ operational efficiency. Mizuho may be able to lower interruption costs, boost overall service quality, and cut downtime by automating fault detection and response.
Consider these other points:
Generative AI can identify and predict flaws by analysing historical data and finding patterns.
The calibre and applicability of the data utilised to train the AI models will determine this initiative’s success.
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生成式 AI 變球探！西班牙西維爾足球俱樂部率先使用
由 IBM 和西班牙西維爾足球俱樂部（Sevilla FC）日前宣布共同推出一款創新的生成式AI工具Scout Advisor，顧名思義「球探顧問」，西維爾足球俱樂部將使用該工具為其球探團隊提供全面的、數據驅動的潛在新球員識別和評估服務。 西維爾足球俱樂部的 Scout Advisor 以 IBM 專為企業設計的AI與數據平台watsonx構建，將與其現有自主開發的數據密集型應用套件進行整合。
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#IA - IBM Planea incluir Llama 2 dentro de Watsonx AI y Data Platform
Como parte del despliegue continuo de su plataforma de IA y Data Platform para empresas, watsonx, IBM planea alojar el modelo de 70 mil millones de parámetros de Llama 2-chat de Meta en watsonx.ai studio, con acceso anticipado y disponible para clientes y socios selectos. Esto se basará en la colaboración de IBM con Meta en innovación abierta para la IA, incluyendo el trabajo con proyectos de…
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IBM: Let’s create the right AI for your business with watsonx
This commercial came on while I was getting ready for work this morning. It made me stop short and listen. Is that???? Yes. Yes, it is.
#youtube#oscar isaac#when you become so familiar with a person's voice#watson x#commercial voice over#good morning to me
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My latest article: An IBM watsonx AI tool helps refactor COBOL mainframe code into Java, to make it easier to maintain and extend for folks who entered the workforce after the disco era.
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apple is calling their new watch watchX and IBM is calling their new AI product watsonX.... who is laughing now???🤣
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Ben Ball, IBM: Revolutionising technology operations with IBM Concert
New Post has been published on https://thedigitalinsider.com/ben-ball-ibm-revolutionising-technology-operations-with-ibm-concert/
Ben Ball, IBM: Revolutionising technology operations with IBM Concert
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In an interview ahead of the Intelligent Automation Conference, Ben Ball, Senior Director of Product Marketing at IBM, shed light on the tech giant’s latest AI endeavours and its groundbreaking new Concert product.
IBM’s current focal point in AI research and development lies in applying it to technology operations. As Ball explained, “As people try to build applications out in the world, it’s an increasingly complex situation. There are so many tools, there are so many environments that go into building and maintaining an application over time that a lot of teams are just drowned under all of the data that’s involved.”
To tackle this challenge, the company has announced IBM Concert, which will harness AI to make sense of the vast amount of data involved in application development and maintenance. “It’s using AI to figure out actually how your application works, and then provides recommendations about how to make it better,” Ball said.
Upcoming AI opportunities
According to Ball, a current opportunity is organising the unstructured data that feeds into AI models. “There can be a gap between the unstructured amoeba of data and then what you want in AI, which is sorted, ready to go,” he acknowledged. However, IBM is actively working to bridge this gap, with IBM Concert set to evolve and incorporate tools to organise data into a format more digestible for AI engines.
Explainability is another critical aspect of AI that IBM is addressing with IBM Concert. Ball emphasised the importance of not blindly accepting AI recommendations, stating, “We’re actually building in a function that you can question the recommendation so that you can question what the AI comes up with, and sort of dig a little bit deeper into how it came to that conclusion.”
Powering the future of work
Beyond IBM Concert, IBM offers a suite of AI technologies and tools, such as watsonx and AI governance solutions. As Ball explained, IBM aims to provide a “use-case-neutral” approach, allowing customers to leverage IBM’s AI capabilities for their specific needs.
One area where IBM has seen early success with IBM Concert is in addressing the data overload faced by many organisations. Ball shared that design partners have been “amazed at what we’re able to do, the insights that we’re able to show, even at a very basic level.” As IBM Concert’s capabilities continue to evolve, IBM expects to deliver even more profound insights and conclusions, ultimately improving application performance, security, and overall management.
For organisations considering adopting AI for the first time, Ball’s advice is clear: “Be deliberate about what you want to do with it. Don’t come in just thinking that the technology itself is the goal, but have a real use case in mind, a real goal in mind that you want AI to accomplish.”
At the upcoming Intelligent Automation Conference, where IBM is a key sponsor, the company plans to showcase IBM Concert and its potential to transform technology operations through the power of AI.
As the interview concluded, Ball expressed excitement about the possibilities of IBM Concert, stating, “We’re really excited about this, and we think our customers are going to be really excited about it too.”
You can watch our full interview with Ben Ball below:
[embedded content]
Gain further insights from Ben Ball as he shares his expertise in his day one presentation titled ‘Leveraging Gen AI to proactively mitigate security vulnerabilities in your applications’ at the Intelligent Automation Conference.
Want to learn more about intelligent automation from industry leaders? Check out the Intelligent Automation Conference taking place in California, London, and Amsterdam. The comprehensive event is co-located with other leading events including AI & Big Data Expo, IoT Tech Expo, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.
Explore other upcoming enterprise technology events and webinars powered by TechForge here.
Tags: ai, artificial intelligence, enterprise, explainability, explainable ai, ibm, ibm concert, intelligent automation, interview
#Advice#ai#ai & big data expo#AI engines#AI models#AI research#amp#application development#applications#approach#Articles#artificial#Artificial Intelligence#automation#Big Data#bridge#Building#challenge#Cloud#Companies#comprehensive#conference#cyber#cyber security#data#Design#development#Digital Transformation#engines#enterprise
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New IBM Watsonx GenAI focuses on enterprises, governance BOSTON — While its bigger and younger tech competitors race to match and outdo each other in the size, speed and scope of their generative AI models, IBM is taking a different, more targeted approach. The 113-year-old vendor is focusing intently on enterprise, not consumer, applications of GenAI. IBM provides smaller, customizable, open source large language models and assistants designed for businesses to modernize their codebase and automate operations, among other things. All the models now come with IBM’s LLM safety and security layer, Watsonx.governance, which also is now available on Amazon SageMaker and can be used with third-party LLMs. Beyond its own Granite line of LLMs and its newly expanded line of AI assistants on the nearly year-old Watsonx generative AI platform, IBM also supports and provides integrations with multiple LLMs and AI platforms from “frenemies” including Microsoft, Amazon, Meta and Mistral AI. Different approach IBM has lagged behind flashier GenAI vendors such as OpenAI and Google. That befits its image as a reliable, though unexciting, provider of software and hardware for large, traditional enterprises such as banks, government agencies and manufacturers. But it has moved into generative AI all the same, with its own strict focus on implementing enterprise applications of the technology. “AI is going to be deployed across the enterprise, unlocking and unleashing a massive amount of productivity,” IBM Chairman and CEO Arvind Krishna said during his keynote at the IBM Think 2024 conference on May 21. “That is why we introduced Watsonx. It is really aimed at helping you accelerate your AI deployment.” Despite its extensive and at times checkered history with AI dating to the technology’s early days in the 1950s, IBM has moved cautiously into the GenAI world that exploded in November 2022 with OpenAI’s introduction of ChatGPT. They are a little bit late to the market, but IBM looked at it and said, ‘Let others play that game, that’s not where we want to be.’ Andy ThuraiAnalyst, Constellation Research The open source generative AI course the vendor is pursuing — in concert with its giant open source subsidiary, Red Hat — is prudent and appeals to its expansive base of enterprise customers around the world, said Andy Thurai, a Constellation Research analyst. “They are a little bit late to the market, but IBM looked at it and said, ‘Let others play that game, that’s not where we want to be,'” Thurai said. “So, they created the Granite models. At first, they didn’t get that much traction, so they open sourced them.” With this strategy — similar in some ways to what Meta is doing with its open models — IBM lets enterprises use the open source Granite models for free, but monetizes them with support and lease revenue from customers using the Watsonx platform. “They don’t want to be depending on one model, including their own model,” Thurai continued. “Instead, they’re saying, ‘I’ll give you all the models you want.'” A coding assist Meanwhile, IBM’s Watsonx Code Assistant for Enterprise Java Applications and Code Assistant for Z, which is used for accelerating mainframe application modernization, are welcome new tools, said Marshall Graves, a partner at Stone Door Group. The digital consultancy, based in Monteagle, Tenn., is an IBM partner that contracts with enterprises to update and install IBM code and software. The firm has been using Watsonx assistants to augment human coders’ work since the platform release last July. “The code assistants are very helpful for teams that don’t have enough resources to scale, to do better work and automation,” Graves said in an interview at the conference. “They’re useful because our customers need more scale.” Stone Door Group plans to use the new Java and Z assistants, when they are generally available in the next few months, for tasks such as rewriting old COBOL code, he said. As for GenAI, the firm and its clients require AI governance. “I think the IBM governance piece is huge, because people don’t really know how to trust the AI,” Graves added. “As a company, if you’re going to choose a platform to build on, you really need to believe you can trust the underlying model.” Another point of emphasis in IBM’s generative AI product rollout this week has been IBM Concert, a system that ties together AIOps tools from various sources on Watsonx. Concert uses GenAI to identify and fix problems in enterprise IT systems using natural language to make recommendations and orchestrate responses to fix or isolate issues such as security vulnerabilities. “I like to think of IBM Concert … as the nervous system for your technology and operations,” said Rob Thomas, IBM senior vice president of software and chief commercial officer, during a conference keynote on May 21. Blockchain AI partners IBM has also leaned heavily on integrations and product partnerships in its generative AI strategy, and some of them are startups with markedly different cultures than many of IBM’s core customers. One such partner is Casper Labs, a 2018 startup based in Zug, Switzerland, that develops a blockchain-based AI governance system with transparency and auditability for AI training data. Casper, with support from IBM Consulting and cloud services, is building its new product, Prove AI, on the Casper blockchain and integrating it with Watsonx.governance. Prove AI is expected to be released by the end of June. A potential customer is Greyscale AI — Casper’s first design partner for Prove AI. Greyscale is a supply chain inspection company that uses X-ray imaging and AI algorithms to help manufacturers identify packaging errors or unwanted materials in foods, drinks and medicines before distribution. Casper also aims at compliance with the growing number of AI laws and regulations in Europe and around the world. IBM Chairman and CEO Arvind Krishna delivers a keynote at IBM Think 2024. Casper CEO and co-founder Mrinal Manohar appeared on Wednesday with IBM software and AI executives on the main keynote stage at the Think conference to discuss how to generate business value with responsible AI. One application of Prove AI is using blockchain’s secure auditable ledger to document iterative changes in the development of custom generative AI models, Manohar said in an interview. “Version control is unfortunately really absent from the AI tech stack right now,” he said. “But appropriate governance controls allow you to do it.” Manohar said working with IBM for the last six months to code the new product was smoothed in part because of IBM’s own experience with blockchain technology, as well as the vendor’s emphasis on alliances. “It looks like a brand-new IBM that’s really open to partners and really open to fast innovation,” Manohar said. Shaun Sutner is senior news director for TechTarget Editorial’s information management team, driving coverage of artificial intelligence, unified communications, analytics and data management technologies. He is a veteran journalist with more than 30 years of news experience. Source link #IBM #Watsonx #GenAI #focuses #enterprises #governance Unlock the potential of cutting-edge AI solutions with our comprehensive offerings. As a leading provider in the AI landscape, we harness the power of artificial intelligence to revolutionize industries. From machine learning and data analytics to natural language processing and computer vision, our AI solutions are designed to enhance efficiency and drive innovation. Explore the limitless possibilities of AI-driven insights and automation that propel your business forward. With a commitment to staying at the forefront of the rapidly evolving AI market, we deliver tailored solutions that meet your specific needs. Join us on the forefront of technological advancement, and let AI redefine the way you operate and succeed in a competitive landscape. Embrace the future with AI excellence, where possibilities are limitless, and competition is surpassed.
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Palo Alto Networks and IBM announce partnership
Palo Alto Networks and IBM announced a major partnership this week, in which they will jointly offer cybersecurity solutions and IBM will provide consulting services for Palo Alto’s platforms.
Key elements of this partnership include IBM expanding its internal use of Palo Alto Networks security platforms and designating Palo Alto as its preferred partner for network, cloud, and security operations center (SOC) services.
Additionally, IBM will collaborate with Palo Alto on security operations, DevSecOps, and threat management. IBM plans to train over 1,000 security consultants on the migration, deployment, and adoption of Palo Alto products.
Moreover, IBM Consulting will become a preferred Managed Security Service Provider (MSSP) for Palo Alto customers, and the two companies will establish a joint SOC and a cyber range.
"IBM's experts, with their global, regional, and local delivery capabilities, will leverage Watsonx, IT automation, and threat intelligence to bolster advisory efforts and promote the growth and adoption of Palo Alto Networks security platforms," the companies announced.
Palo Alto Networks has agreed to acquire IBM's QRadar SaaS assets, which IBM initially obtained in 2011 through its acquisition of Q1 Labs. Following the completion of the QRadar assets acquisition, the companies will assist QRadar customers in transitioning to Palo Alto's recently launched Cortex XSIAM SOC platform.
The financial terms of the transaction have not been disclosed, but it is expected to close by the end of September.
Read the full article
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XaaS Security: Balancing Agility with Data Protection
XaaS meaning
XaaS means “Everything as a Service” or “Anything”. It refers to the expanding trend of cloud computing to distribute IT resources, tools, and services online.
Here’s XaaS breakdown:
Cloud-based delivery: It services are offered online without software or hardware installs.
XaaS services are usually subscribed to, enabling flexible growth and cost-efficiency.
Wide range of services: XaaS includes everything from SaaS, PaaS, and IaaS to more specific offerings like DRaaS and Desktop as a Service.
XaaS lets organisations use IT functions without investing in or managing complex infrastructure.
XaaS benefits:
Cost savings: Businesses just pay for what they use, eliminating upfront hardware and software expenses.
Increased Scalability: Adjust resources to match business needs.
Agile access to new technologies and apps without long installs.
Security: XaaS providers often have strong security and compliance certifications.
Simplified Management: The supplier maintains infrastructure, letting IT workers focus on strategy.
XaaS considerations:
Vendor lock-in: Switching XaaS providers can be complicated and require data migration.
Secure data is a shared responsibility. Businesses must choose trustworthy vendors and employ effective security measures.
Internet Dependence: XaaS requires reliable internet access.
Overall, XaaS provides a compelling option for organisations to use IT resources without managing complex infrastructure. Understanding XaaS services and their pros and drawbacks helps firms decide whether to use them to achieve their strategic goals.
According to a recent IDC study, 85% of CEOs questioned stated that strategic differentiators like digital capabilities are essential for speeding up revenue development. Data breaches and security issues pose the greatest hazards, yet IT decision makers are still worried about the risks connected to their digital infrastructure and how they could affect business outcomes.
Since XaaS consumption patterns are expanding quickly and data and AI are becoming essential components of all business plans, IBM think that safeguarding data security is essential to success. Additionally, it can assist clients in streamlining their data compliance needs as businesses use data-intensive workloads and artificial intelligence.
Automation for security and efficiency
The foundation of all AI applications is data. AI models perform best when the required data can be accessed and processed. Deployable architectures are a set of automation blueprints that IBM is still dedicated to introducing with diligence in collaboration with partners and clients.
The purpose of these blueprints is to make the deployment process easier for clients. In order to facilitate the smooth integration of AI and XaaS, IBM want to make it easy for enterprises to choose and deploy their cloud workloads in a way that is specifically designed to comply with predetermined, reviewable security standards. IBM’s recent success from last year serves as even more evidence of their dedication to fusing AI with XaaS. With the help of this platform, businesses can efficiently develop responsible data and AI workflows, scale workloads, and train, validate, optimise, and implement AI models.
Data protection in multicloud settings
Business executives must recognise the value of hybrid cloud support while also realising that, in order to support their data storage and applications, modern businesses frequently need a combination of on-premises and cloud environments. The truth is that certain workloads require different things in order to function well.
This implies that no matter if your workloads are on-site, in a private or public cloud, or at the edge, they cannot be concentrated in one location. IBM cooperation with CrushBank is one such. By providing its IT workers with better knowledge, the organisation employs Watsonx to automate desk activities with artificial intelligence. As a result, there has been an improvement in productivity, which in turn improves customer satisfaction. A personalised hybrid cloud plan takes care of performance, security, and data latency so that your employees can focus on running their business instead of IT.
To support the privacy and security of application data, you must first construct a hybrid cloud XaaS environment by enhancing your data protection capabilities all without requiring changes to the application itself. Security and compliance are the cornerstones of all they do at IBM.
The IBM Cloud Security and Compliance Centre, a collection of updated cloud security and compliance tools meant to assist businesses in reducing risk and safeguarding data throughout their hybrid and multicloud workloads, has recently undergone expansion. Investing in strong data protection is critical for success in the XaaS era, when data is the core of digital transformation.
XaaS necessitates robust data security
IBM is committed to upholding the highest security standards in a world that is becoming more and more data-dependent and networked. Because our software, infrastructure, and services options are made to support our clients as they meet their changing security and data compliance requirements, IBM can assist in supporting workloads that are essential to the mission. Setting data security as a top priority will help you safeguard sensitive consumer data in the age of XaaS and AI.
For more details Govindhtech.com
#govindhtech#TechNews2024#technologynews#technology#Technologytrends#TechNews#IBM#xaas#datasecurity#watsonx#news#aimodels#ai
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IBM y Tech Mahindra lanzan IA confiable con watsonx ... https://ujjina.com/ibm-y-tech-mahindra-lanzan-ia-confiable-con-watsonx/?feed_id=629333&_unique_id=66471a9e3be4e
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#IA - IBM disponibiliza mundialmente Watsonx, su plataforma de IA Generativa
Está disponible mundialmente IBM Watsonx, plataforma de datos e IA Generativa lista para empresas. Está nueva apuesta de la compañía había sido anunciada en IBM Think, el mayo pasado, con tres componentes (Fuente IBM Argentina):
watsonx.ai studio para nuevos modelos fundacionales, IA generativa y aprendizaje automático (ahora disponible)
El almacén watsonx.data, que proporciona soluciones…
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