#watsonx platform

[sonalikrishnan]

Pragma Edge Provides services on watsonx

Pragma Edge Provides services on watsonx, it is an innovative Artificial Intelligence (AI) and Data Platform designed to enable enterprises with a focus of scale and accelerating the impact of AI capabilities with trusted data. This Platform offers a comprehensive solution that covers data storage, hardware, and foundational models for Artificial Intelligence (AI) and Machine Learning (ML). This platform provides an open ecosystem, enabling enterprises to design and tune large language models (LLMs) for operational and business requirements. 

IBM’s watsonx Platform helps enterprises automate their business workflows, streamlining IT processes and internal business processes, protecting them against threats and vulnerabilities, and tackling sustainability goals. It also includes a data store, built on lakehouse architecture, and an AI governance toolkit. 

watsonx.ai

watsonx.ai is an enterprise development studio that will enable AI builders to train, test, tune, and deploy traditional machine learning and new generative AI capabilities across their enterprise business that leverage the power of foundation models.

This provides a wide range of foundation models, training and tuning tools, and cost-effective infrastructure that can facilitate the entire data & AI lifecycle process, from data preparation to model development, monitoring, and deployment.

watsonx.data

watsonx.data is a fit-for purpose data store built on open lakehouse architecture offering, focuses on analytics and AI workloads. As data is what helps AI learn and grow, this component is critical for enabling AI capabilities. 

This open and agile data repository enables enterprises to efficiently manage and access massive amounts of data. It will support their AI initiatives and facilitate quick decision-making processes.

watsonx.governance

watsonx.governance provides the framework for creating an AI workforce that operates responsibly and with transparency. This component establishes guidelines for explainable AI, ensuring that businesses can understand the decisions made by AI models and build trust with their clients, partners etc. 

It has seamless integrated capabilities that can augment your existing Machine Learning(ML) development and deployment with governance. You can able access all the information data across the on-premises and cloud environments.

Improve data access, apply governance, cut costs, and get quality models into production faster.

Accelerate the whole AI model lifecycle by having all of the tools and runtimes for training, validating, tuning, and deploying AI models in one location.

[govindhtech]

Accelerates AMD Exascale Leap of El Capitan Sixth in 2024

AMD Turbocharges El Capitan AMD Exascale Computing fastest supercomputer placed sixth in Supercomputing 2024.

Exascale Meaning

Exascale computing is a subset of supercomputing that is extremely powerful. Systems that use an infrastructure of CPUs and GPUs to handle and analyze data may execute billions of calculations per second.

The newest Top500 list states that the El Capitan supercomputer at Lawrence Livermore National Laboratory (LLNL), powered by AMD Instinct MI300A APUs and constructed by HPE, is the fastest supercomputer in the world with a High-Performance Linpack (HPL) score of 1.742 exa Oak Ridge National Lab’s Frontier system and El Capitan, which placed 18 and 22 on the Green500 list, showed AMD EPYC CPUs and AMD Instinct GPUs’ HPC performance and energy efficiency.

AMD Powering HPC and AI

The most significant supercomputers are still powered by AMD compute engines, which also provide outstanding technical computing performance to businesses and government labs worldwide.

With up to 37% greater generational IPC performance for HPC and AI applications, the most recent AMD EPYC 9005 Series processors are the finest server CPUs for business, AI, and cloud computing. In comparison to the competition, these processors offer up to 3.9X quicker time to insights for scientific and HPC applications that address the most difficult issues in the world.

From AI solutions to AMD Exascale-class supercomputers, AMD Instinct accelerators offer the data center’s best performance at any scale. AMD Instinct MI300X and MI325X accelerators provide improved AI performance and memory, while the MI300A APU combines CPU and GPU cores with stacked memory for HPC and AI applications.

AMD EPYC CPUs and AMD Instinct accelerators power several innovative AI and supercomputing initiatives, including:

Italian energy giant Eni introduced the HPC 6 supercomputer featuring AMD EPYC CPUs and Instinct GPUs. Powerful industrial supercomputer HPC 6 is sixth fastest worldwide. A new supercomputer with 5th Gen AMD EPYC CPUs is being delivered and installed at Paderborn University.

An HPE Cray Supercomputing EX system with 5th Gen AMD EPYC CPUs will be used by Sigma2 AS to replace two of Norway’s three state-owned supercomputers. This supercomputer is anticipated to be Norway’s fastest system once it is completely built. AMD and IBM have partnered to offer AMD Instinct MI300X accelerators on IBM Cloud as a service.

With the goal of improving performance and power efficiency for Gen AI models, such as high-performance computing applications for business clients, this solution is anticipated to become available in the first half of 2025. Additionally, the partnership will make it possible for Red Hat Enterprise Linux AI inferencing and AMD Instinct MI300X accelerators to be supported within IBM’s Watsonx AI and data platform.

Additionally, a next-generation supercomputer system for Japan’s National Institutes for Quantum Science and Technology (QST) will be powered by AMD Instinct MI300A APUs. The NEC Corporation-built system will power scientific and artificial intelligence research for the National Institutes for Fusion Science and Quantum Science and Technology using 280 AMD Instinct MI300A APUs.

Leading the AMD Exascale Era

AMD continues to lead HPC deployments globally in terms of performance and energy efficiency as the sole manufacturer powering many exascale supercomputers.

The NNSA Tri-Labs LLNL, Los Alamos, and Sandia National Laboratories rely on El Capitan, the most potent supercomputer in the world and the first exascale-class machine for the NNSA, as their primary computing resource. By offering the enormous processing capacity required to guarantee the safety, security, and dependability of the country’s nuclear deterrent without testing, it will be utilized to promote scientific research and national security.

This cutting-edge system represents a significant advancement in HPC, allowing for previously unheard-of modeling and simulation capabilities that are crucial for other vital nuclear security missions, including counterterrorism and nonproliferation, as well as NNSA’s Stockpile Stewardship Program, which certifies the aging nuclear stockpile.

In order to further advance LLNL’s AI-driven objectives of developing scientific models that are quick, precise, and able to quantify uncertainty in their predictions, LLNL and the other NNSA Tri-Labs are also utilizing El Capitan and its companion system, Tuolumne, to drive AI and machine learning-assisted data analysis. Tuolumne will be utilized for unclassified open scientific applications such as seismic modeling, biosecurity/drug discovery, and climate modeling, while El Capitan will apply AI to high energy density challenges like inertial confinement fusion research.

Beyond El Capitan, AMD and HPE power Frontier, the first AMD exascale supercomputer. Oak Ridge National Lab’s Frontier is the second-fastest computer in the world at 1.35 exaflops.  AMD Instinct GPUsand EPYC CPUs power it. Frontier supports researchers in biomedical research, climate modeling, and large language model training, underlining its importance in scientific growth and AI advancements.

These cutting-edge systems offer enormous computing capacity that greatly advances a variety of fields of study, such as materials science, climate modeling, and the creation of AI models. By empowering researchers in many domains and supporting AI model development, El Capitan and Frontier are shaping science and technology and providing answers to global concerns. AMD is committed to offering high-performance computer resources to advance scientific research.

Read more on govindhtech.com

[jcmarchi]

IBM unveils Granite 3.0 AI models with open-source commitment

New Post has been published on https://thedigitalinsider.com/ibm-unveils-granite-3-0-ai-models-with-open-source-commitment/

IBM unveils Granite 3.0 AI models with open-source commitment

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IBM has taken the wraps off its most sophisticated family of AI models to date, dubbed Granite 3.0, at the company’s annual TechXchange event.

The Granite 3.0 lineup includes a range of models designed for various applications:

General purpose/language: 8B and 2B variants in both Instruct and Base configurations

Safety: Guardian models in 8B and 2B sizes, designed to implement guardrails

Mixture-of-Experts: A series of models optimised for different deployment scenarios

IBM claims that its new 8B and 2B language models can match or surpass the performance of similarly sized offerings from leading providers across numerous academic and industry benchmarks. These models are positioned as versatile workhorses for enterprise AI, excelling in tasks such as Retrieval Augmented Generation (RAG), classification, summarisation, and entity extraction.

A key differentiator for the Granite 3.0 family is IBM’s commitment to open-source AI. The models are released under the permissive Apache 2.0 licence, offering a unique combination of performance, flexibility, and autonomy to both enterprise clients and the broader AI community.

IBM believes that by combining a compact Granite model with proprietary enterprise data, particularly using their novel InstructLab alignment technique, businesses can achieve task-specific performance rivalling larger models at a fraction of the cost. Early proofs-of-concept suggest potential cost savings of up to 23x less than large frontier models.

According to IBM, transparency and safety remain at the forefront of its AI strategy. The company has published a technical report and responsible use guide for Granite 3.0, detailing the datasets used, data processing steps, and benchmark results. Additionally, IBM offers IP indemnity for all Granite models on its watsonx.ai platform, providing enterprises with greater confidence when integrating these models with their own data.

The Granite 3.0 8B Instruct model has shown particularly promising results, outperforming similar-sized open-source models from Meta and Mistral on standard academic benchmarks. It also leads across all measured safety dimensions on IBM’s AttaQ safety benchmark.

IBM is also introducing the Granite Guardian 3.0 models, designed to implement safety guardrails by checking user prompts and LLM responses for various risks. These models offer a comprehensive set of risk and harm detection capabilities, including unique checks for RAG-specific issues such as groundedness and context relevance.

The entire suite of Granite 3.0 models is available for download on HuggingFace, with commercial use options on IBM’s watsonx platform. IBM has also collaborated with ecosystem partners to integrate Granite models into various offerings, providing greater choice for enterprises worldwide.

As IBM continues to advance its AI portfolio, the company says it’s focusing on developing more sophisticated AI agent technologies capable of greater autonomy and complex problem-solving. This includes plans to introduce new AI agent features in IBM watsonx Orchestrate and build agent capabilities across its portfolio in 2025.

See also: Scoring AI models: Endor Labs unveils evaluation tool

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, 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, granite 3, ibm, large language models, llm, models, techxchange

[prolificsinsightsblog]

Prolifics at IBM TechXchange 2024

IBM TechXchange 2024 Conference 

Dates: October 21-24, 2024  Location: Mandalay Bay – Las Vegas  Conference Website: https://www.ibm.com/  

We are speaking at IBM TechXchange Conference 2024 

Join Prolifics at this October at IBM TechXchange  for an immersive AI learning experience focused on unlocking the potential of generative AI   and maximizing IBM’s powerful technology suite. Engage in hands-on watsonx challenges, deep-dive technology breakouts, and immersive instructor-led labs to sharpen your skills, earn valuable credentials, and connect with top innovators shaping the future of technology.  

Meet Our Experts 

Amrith Maldonado, Product Support Manager, Prolifics  

Vishnu Pandit, Practice Director – Integration and Platforms, Prolifics 

Attend our sessions at IBM TechXchange Conference 2024 to discover how to accelerate your AI journey and stay at the forefront of industry innovation. Elevate your expertise while connecting with peers and industry leaders who are driving the future of technology. 

Our experts will cover key topics that matter to your business, including:  

Data Governance:  Discoverhow the MPP Connector enhances Data Governance by integrating Manta's advanced metadata and lineage capabilities with Microsoft Purview, ensuring comprehensive visibility and control.  

Reduce Technical debt with IBM’s Integration Portfolio: Learn how to leverage IBM’s integration portfolio’s advanced monitoring, seamless integration, automation, and governance tools to minimize technical debt and ensure long-term sustainable growth for your business.   

This conference is your must-attend event for connecting with AI developers, industry innovators, and others seeking the tools and knowledge to transform their work.  

We’re can’t wait to connect with you—see you there! 

About Prolifics  

Prolifics, in collaboration with IBM, leverages the power of watsonx to deliver innovative AI solutions that fuel business transformation. Together, we enable organizations to harness AI and automation to drive smarter decisions and faster, more impactful results.  

Join us at IBM TechXchange 2024 to explore how we can elevate your AI journey. 

[mediatechgroup]

What is WatsonX AI

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Understanding WatsonX AI: An Informational Guide for AI Enthusiasts

In the fast-paced world of Artificial Intelligence, new developments are always emerging. One standout innovation attracting attention from both AI enthusiasts and professionals is WatsonX AI. Created by IBM, WatsonX is revolutionizing AI with its unique offerings. But what exactly is WatsonX AI, and why is it so special?

The Legacy of IBM in Technology

IBM, or International Business Machines Corporation, has been a major player in the tech industry for decades. They've evolved from mainframes to modern cloud computing, always staying innovative. In the fields of Machine Learning (ML) and Artificial Intelligence (AI), IBM's contributions have been groundbreaking. Their Watson platform has been a game-changer, proving AI's potential in healthcare, customer service, and even entertainment.

Introduction to WatsonX AI

WatsonX is the next step in IBM's AI evolution. But what is WatsonX AI? It’s a suite of AI tools designed to make AI projects easier to implement and scale. Whether you’re a seasoned data scientist or just starting, WatsonX has solutions for everyone. From powerful Machine Learning models to customizable algorithms, WatsonX is setting new AI standards.

Key Features of WatsonX AI

Ease of Use: WatsonX is designed to be user-friendly, so you don’t need to be a coding expert to use it effectively.

Customizability: The platform lets you adjust algorithms and models to fit your specific needs.

Scalability: WatsonX easily scales from small projects to large enterprise applications.

Integration: It integrates seamlessly with other IBM platforms and tools, embedding AI into existing workflows smoothly.

WatsonX AI in Action

Seeing WatsonX AI in real-world scenarios can be eye-opening, especially for those new to AI. One remarkable use is in healthcare, where WatsonX analyzes large sets of medical data to help doctors make more accurate diagnoses and treatment plans. In the business world, companies use WatsonX to improve customer service by answering common questions and solving issues faster.

Media & Technology Group, LLC and WatsonX AI

At Media & Technology Group, LLC, we know how powerful AI can be in boosting business processes. By integrating WatsonX into our services like Artificial Intelligence Implementation and Marketing Automation, we’ve enhanced our offerings significantly. Our clients enjoy more efficient operations, better decision-making, and improved customer experiences.

Benefits of WatsonX AI

Time Efficiency: Automate routine tasks, freeing up time for more complex problem-solving.

Data Accuracy: Advanced algorithms ensure high accuracy in data analysis.

Cost Savings: Reducing the need for manual labor leads to significant savings over time.

Innovation: Pushes the boundaries of what’s possible, inspiring new ideas and solutions.

Getting Started with WatsonX AI

If you’re eager to explore WatsonX AI, here’s how to start:

Training: IBM offers courses and materials online to help you learn WatsonX’s basics and

[education30and40blog]

Eighteen generative AI tools transforming customer service

See on Scoop.it - Education 2.0 & 3.0

"Explore the top 18 generative AI tools revolutionizing customer service, from advanced chatbots like Cognigy and IBM WatsonX Assistant to comprehensive platforms ..."

[globalfintechseries]

Transforming IT Service Management Through AIOps

The 2022 Gartner Market Guide for AIOps Platforms states, “There is no future of IT service management that does not include AIOps.” This is certainly a confirmation of the increasing need for IT organizations to adopt AIOps to respond to the fast data growth.

Gartner reveals that AIOps has become the part and parcel of IT operations, and discussions on AIOps appear in 40% of all the inquiries within the last year regarding IT performance analysis. Three drivers are behind the growing interest in AIOps: digital business transformation, the shift from reactive to proactive IT management, and the need to make digital business operations observable.

IT customers are increasingly curious about how AIOps can help them control the growing complexity and volume of their data—issues that are beyond the capability of manual human intervention. As Gartner says, “It is humanly impossible to derive insights from the sheer volume of IT system events that reach several thousand per second without AIOps.”

Also Read: IBM Introduces New Updates to Watsonx Platform at THINK 2024

What is AIOps?

AIOps, or Artificial Intelligence for IT Operations, represents a modern approach to managing IT operations. It uses AI and machine learning to automate and optimize IT processes. By harnessing the pattern recognition abilities of AI and ML, AIOps can analyze data, detect patterns, make predictions, and even automate decision-making. When effectively implemented, this transformative technology can revolutionize traditional IT service management (ITSM) methods by reducing manual workloads, speeding up response times, and enabling proactive strategies to prevent IT issues before they arise.

AIOps and IT Service Management

Gartner believes that integrating ITSM is an important requirement of an effective AIOps strategy. Integration is one of the three-prong strategies for an AIOps: Observe (Monitor), Engage (ITSM), and Act (Automation). Gartner continues, “AIOps platforms enhance a broad range of IT practices, including I&O, DevOps, SRE, security, and service management.” Application of AI to service management, or AISM, is much more than traditional ITSM in that it enables proactive prevention, faster MTTR, rapid innovation, and improved employee and customer experiences.

This is where machine learning and analytics enable ITSM/ITOM convergence, a key characteristic of ServiceOps. An integrated AIOps strategy that observes, engages, and acts will facilitate a set of integrated use cases across ITOM and ITSM, such as automated event remediation, incident and change management, and intelligent ticketing and routing.

https://1931032958.rsc.cdn77.org/wp-content/uploads/2024/05/Aiops-Platform.png

The ability to derive actionable insights based on machine learning and data analytics will bring significant value to IT operations teams. Successful implementation requires robust integrations with orchestration tools and the Configuration Management Database (CMDB) for service impact mapping. Visibility, intelligence, speed, and insights brought about by AIOps will be transformative in monitoring processes, bringing substantial benefits.

How to Implement AIOps for IT Service Management?

First and foremost, to onboard AIOps in ITSM, one should establish clear goals and define KPIs. The selection of the AIOps solution should support these objectives. Integrate different data sources, tune machine learning models, and integrate new processes with ITSM workflows.

Overcome the challenges of data silos, resistance to change, and shortage of skilled people through good cross-functional collaboration and continuous learning programs. The implementation should be done in a phased manner. Start with small, manageable projects and keep fine-tuning according to the feedback.

AIOps Benefits for ITSM

AIOps solutions automate incident detection and resolution processes. Utilizing AI-powered tools to monitor system metrics and logs, IT teams can predict and proactively address potential issues well before they result in outages and result in reduced downtime and better service availability.

Intelligent Root Cause Analysis: AIOps deploys state-of-the-art ML algorithms to analyze mountains of data from numerous sources efficiently, finding the root cause of incidents in the fastest way possible.

Predictive Maintenance: AIOps uses historical data and real-time analytics to predict system failures and performance degradation, allowing proactive maintenance actions.

Improved Data Management: AIOps makes the data management process much easier by consolidating data from log files, monitoring tools, and ticketing systems, making handling and analysis of data much easier and smoother.

Also Read: AI at Workplace: Essential Steps for CIOs and Security Teams

Future Outlook

AIOps is not a trend but the future of IT Service Management. As AIOps evolves, it will lead to huge changes in ITSM: complete automation of routine tasks, more accurate predictions, and increased business process integration. Keeping informed of these developments and preparing to adapt is vital in keeping ITSM future-ready.

Integrating AIOps and predictive analysis can transform ITSM by making proactive issue management, efficiency, and data-driven decision-making possible. The benefits are huge, including reducing manual loads, shortening response time, and improving service quality and business alignment. With AIOps and predictive analysis, businesses will continue to be competitive, innovate, and deliver outstanding IT services in today’s digitally enabled world.

[systemtek]

IBM Completes Acquisition of StreamSets and webMethods, Bolstering its Automation, Data and AI Portfolios

IBM announced it has completed its acquisition of StreamSets and webMethods from Software AG after receiving all required regulatory approvals. The acquisition brings together leading capabilities in integration, API management and data ingestion.  The acquisition builds on IBM's extensive software portfolio, with StreamSets adding new data ingestion capabilities to IBM's AI and data platform, and webMethods bringing Integration Platform as a Service (iPaas) capabilities to IBM's Automation solutions. IBM's clients and partners will now have access to one of the most modern and comprehensive application and data integration platforms in the industry to drive innovation and prepare business for AI.  Organizations are facing an explosion of apps, APIs, events and data spread across hybrid cloud environments worldwide. In fact, IDC estimates that 1 billion new applications are expected by 2028 due to the rapid emergence of generative AI1. As organizations continue their digital transformation journeys, application and data integration solutions are critical for application modernization and effectively deploying AI across the enterprise. StreamSets and webMethods currently serve more than 1,500 companies across the globe and will provide additional integration technologies for next-generation AI applications that require data and connectivity to everything, everywhere. And, the industry is continuing to grow, with IDC predicting the worldwide integration software market to exceed $18.0 billion in 20272. "This is an important acquisition for IBM as we help our clients turn complexities into competitive advantage," said Dinesh Nirmal, Senior Vice President, Products, IBM Software. "StreamSets and webMethods bring new capabilities to our clients to embrace data and AI to better manage the growth and complexity of applications. We will empower integrators, developers, and line of business IT to build and manage integrations at an even greater and more impactful scale."  StreamSets adds cloud-based, real-time data ingestion capabilities for various types of data to watsonx, IBM's AI and data platform.  Data ingestion helps move massive amounts of data from multiple sources to a centralized storage center where it can then be utilized by other systems/applications. When that data moves between sources and targets, streaming tools like StreamSets provide updated data in real-time to target destinations. This hybrid and multi-cloud ready product, which IBM plans to embed as a premium feature in watsonx.data, makes it easier for users to ingest, enrich, and harness the potential of streaming data enabled through features like offset handling and delivery guarantees. StreamSets will also further extend the breadth and depth of IBM's Data Fabric and Data Integration capabilities through enabling the design of streaming data pipelines. It will complement IBM DataStage and Databand into a deeply integrated offering for data engineers, catering to multiple patterns of data integrated, infused with data observability capabilities. IBM plans to make StreamSets available across all major hyperscalers, including GCP (current) and Azure/AWS (in-progress), as well as on-premises.  webMethods helps organizations manage the tangled web of systems, applications and data silos within business environments. The webMethods Integration Platform as a Service (iPaaS) enables users to deploy and execute integrations anywhere, while still including outputs in unified integration flows. This helps global organizations meet local data sovereignty requirements while driving enterprise-wide innovation and taking advantage of centralized management.  IBM plans to extend the webMethods iPaaS to support the IBM integration products, giving current customers a path to multi-cloud hybrid integration.  By supporting various patterns of integration, including applications, APIs, events, and B2B, IBM will help enable users to compose modern, unified, and seamless applications and services. For more information on StreamSets, click here.  For more information on webMethods, click here.  Read the full article

[blackholerobots]

IBM Develops The AI-Quantum Link https://www.forbes.com/sites/tiriasresearch/2024/06/24/ibm-develops-the-ai-quantum-link/

[roamnook]

AI-Powered Recruiting Transforms Sevilla Fútbol Club with IBM Watsonx™: Revolutionary Natural Language Processing Tool Unleashed for Spain's Leading Soccer Team. [https://www.ibm.com/blog/watsonx-scout-advisor-fc-sevilla/]

AI-Powered Recruiting for FC Sevilla

HOW AI-POWERED RECRUITING HELPS SPAIN'S LEADING SOCCER TEAM SCORE

Introduction

Welcome to this exclusive blog post where we delve into the world of AI-powered recruiting and its impact on Spain's leading soccer team, FC Sevilla. In this article, we will explore the cutting-edge tool called Scout Advisor, built on the IBM WatsonX platform, which uses natural language processing to revolutionize the team's talent search process. Prepare to be amazed by the power of AI and its applications in the sports industry! Read on to uncover the fascinating world of AI-powered recruiting.

What is Scout Advisor?

Scout Advisor is a game-changing tool designed specifically for FC Sevilla. It harnesses the power of natural language processing and is built on the IBM WatsonX platform, a cutting-edge technology in the field of AI. This powerful tool enables the team to streamline and enhance their talent search process, giving them a competitive edge in the highly competitive world of soccer.

The Role of AI in Soccer Recruiting

AI-powered recruiting has completely revolutionized the way soccer teams scout and recruit new talent. With Scout Advisor, FC Sevilla can analyze vast amounts of data and identify potential players who possess the desired skills, athleticism, and potential to excel in the team. By leveraging AI, the team can make data-driven decisions and improve their chances of discovering hidden gems in the soccer world.

The Advantages of Scout Advisor

Scout Advisor offers numerous advantages to FC Sevilla and its scouting team. Here are some of the key benefits:

Efficiency: By automating the talent search process, Scout Advisor significantly reduces the time and effort required to identify potential players.

Accuracy: With its advanced algorithms and data analysis capabilities, Scout Advisor provides accurate insights into a player's strengths, weaknesses, and overall potential.

Objectivity: AI eliminates human biases in the scouting process, ensuring that players are evaluated solely based on their skills and performance.

Talent Expansion: By analyzing a vast pool of data, Scout Advisor allows FC Sevilla to expand their talent search globally, uncovering promising players from various regions.

Real-World Applications

The application of AI-powered recruiting goes beyond the world of soccer. The technology behind Scout Advisor can be utilized in various industries to streamline talent acquisition processes. From identifying potential employees with the right skills for a company to finding the perfect fit for a role, AI-powered recruiting has the potential to transform the way organizations hire new talent.

Imagine a world where AI can match candidates with job descriptions, assess their compatibility with the company's culture, and predict their potential for success. This is just the tip of the iceberg when it comes to the real-world applications of AI-powered recruiting.

Why AI-Powered Recruiting Matters

AI-powered recruiting matters because it enables organizations to make informed, data-driven decisions when it comes to hiring talent. It eliminates biases and ensures that candidates are evaluated solely based on their skills and qualifications. By leveraging AI, organizations can unlock the potential of their talent acquisition processes and find the best possible candidates for their teams.

In the case of FC Sevilla, AI-powered recruiting has the potential to uncover hidden talents that could contribute to the team's success on the field. By embracing the power of AI, the team can stay ahead of their competitors and build a roster of talented players that could lead them to victory.

Are you ready to embrace the power of AI in your talent acquisition process? Contact RoamNook, the innovative technology company specializing in IT consultation, custom software development, and digital marketing. Let us fuel your digital growth and revolutionize your recruiting process. Visit us at www.roamnook.com to learn more.

Source: https://www.ibm.com/blog/updated-tutorial-on-end-to-end-cloud-security/&sa=U&ved=2ahUKEwiom7m29MGGAxX9FVkFHYNKAZgQFnoECAsQAg&usg=AOvVaw2uORCutlW4o_ycOsTVYB18

[sonalikrishnan]

Unlocking the Future of AI and Data with Pragma Edge's Watson X Platform  

In a rapidly evolving digital landscape, enterprises are constantly seeking innovative solutions to harness the power of artificial intelligence (AI) and data to gain a competitive edge. Enter Pragma Edge's Watson X, a groundbreaking AI and Data Platform designed to empower enterprises with scalability and accelerate the impact of AI capabilities using trusted data. This comprehensive platform offers a holistic solution, encompassing data storage, hardware, and foundational models for AI and Machine Learning (ML). 

The All-in-One Solution for AI Advancement 

At the heart of Watson X is its commitment to providing an open ecosystem, allowing enterprises to design and fine-tune large language models (LLMs) to meet their operational and business requirements. This platform is not just about AI; it's about transforming your business through automation, streamlining workflows, enhancing security, and driving sustainability goals. 

Key Components of Watson X 

Watsonx.ai: The AI Builder's Playground 

Watsonx.ai is an enterprise development studio where AI builders can train, test, tune, and deploy both traditional machine learning and cutting-edge generative AI capabilities. 

It offers a diverse array of foundation models, training and tuning tools, and cost-effective infrastructure to facilitate the entire data and AI lifecycle. 

Watsonx.data: Fueling AI Initiatives 

Watsonx.data is a specialized data store built on the open lakehouse architecture, tailored for analytics and AI workloads. 

This agile and open data repository empowers enterprises to efficiently manage and access vast amounts of data, driving quick decision-making processes. 

Watsonx.governance: Building Responsible AI 

Watsonx.governance lays the foundation for an AI workforce that operates responsibly and transparently. 

It establishes guidelines for explainable AI, ensuring businesses can understand AI model decisions, fostering trust with clients and partners. 

Benefits of WatsonX 

Unified Data Access: Gain access to information data across both on-premises and cloud environments, streamlining data management. 

Enhanced Governance: Apply robust governance measures, reduce costs, and accelerate model deployment, ensuring high-quality outcomes. 

End-to-End AI Lifecycle: Accelerate the entire AI model lifecycle with comprehensive tools and runtimes for training, validation, tuning, and deployment—all in one location. 

In a world driven by data and AI, Pragma Edge's Watson X Platform empowers enterprises to harness the full potential of these technologies. Whether you're looking to streamline processes, enhance security, or unlock new business opportunities, Watson X is your partner in navigating the future of AI and data. Don't miss out on the transformative possibilities—explore Watson X today at watsonx.ai and embark on your journey towards AI excellence. 

Learn more: https://pragmaedge.com/watsonx/ 

[govindhtech]

IBM Db2 AI Updates: Smarter, Faster, Better Database Tools

IBM Db2

Designed to handle mission-critical workloads worldwide.

What is IBM Db2?

IBM Db2 is a cloud-native database designed to support AI applications at scale, real-time analytics, and low-latency transactions. It offers database managers, corporate architects, and developers a single engine that is based on decades of innovation in data security, governance, scalability, and availability.

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When moving to hybrid deployments, create the next generation of mission-critical apps that are available 24/7 and have no downtime across all clouds.

Support for all contemporary data formats, workloads, and programming languages will streamline development.

Support for open formats, including Apache Iceberg, allows teams to safely communicate data and information, facilitating quicker decision-making.

Utilize IBM Watsonx integration for generative artificial intelligence (AI) and integrated machine learning (ML) capabilities to implement AI at scale.

Use cases

Power next-gen AI assistants

Provide scalable, safe, and accessible data so that developers may create AI-powered assistants and apps.

Build new cloud-native apps for your business

Create cloud-native applications with low latency transactions, flexible scalability, high concurrency, and security that work on any cloud. Amazon Relational Database Service (RDS) now offers it.

Modernize mission-critical web and mobile apps

Utilize Db2 like-for-like compatibility in the cloud to modernize your vital apps for hybrid cloud deployments. Currently accessible via Amazon RDS.

Power real-time operational analytics and insights

Run in-memory processing, in-database analytics, business intelligence, and dashboards in real-time while continuously ingesting data.

Data sharing

With support for Apache Iceberg open table format, governance, and lineage, you can share and access all AI data from a single point of entry.

In-database machine learning

With SQL, Python, and R, you can create, train, assess, and implement machine learning models from inside the database engine without ever transferring your data.

Built for all your workloads

IBM Db2 Database

Db2 is the database designed to handle transactions of any size or complexity. Currently accessible via Amazon RDS.

IBM Db2 Warehouse

You can safely and economically conduct mission-critical analytical workloads on all kinds of data with IBM Db2 Warehouse. Watsonx.data integration allows you to grow AI workloads anywhere.

IBM Db2 Big SQL

IBM Db2 Big SQL is a high-performance, massively parallel SQL engine with sophisticated multimodal and multicloud features that lets you query data across Hadoop and cloud data lakes.

Deployment options

You require an on-premises, hybrid, or cloud database. Use Db2 to create a centralized business data platform that operates anywhere.

Cloud-managed service

Install Db2 on Amazon Web Services (AWS) and IBM Cloud as a fully managed service with SLA support, including RDS. Benefit from the cloud’s consumption-based charging, on-demand scalability, and ongoing improvements.

Cloud-managed container

Launch Db2 as a cloud container:integrated Db2 into your cloud solution and managed Red Hat OpenShift or Kubernetes services on AWS and Microsoft Azure.

Self-managed infrastructure or IaaS

Take control of your Db2 deployment by installing it as a conventional configuration on top of cloud-based infrastructure-as-a-service or on-premises infrastructure.

IBM Db2 Updates With AI-Powered Database Helper

Enterprise data is developing at an astonishing rate, and companies are having to deal with ever-more complicated data environments. Their database systems are under more strain than ever as a result of this. Version 12.1 of IBM’s renowned Db2 database, which is scheduled for general availability this week, attempts to address these demands. The latest version redefines database administration by embracing AI capabilities and building on Db2’s lengthy heritage.

The difficulties encountered by database administrators who must maintain performance, security, and uptime while managing massive (and quickly expanding) data quantities are covered in Db2 12.1. A crucial component of their strategy is IBM Watsonx’s generative AI-driven Database Assistant, which offers real-time monitoring, intelligent troubleshooting, and immediate replies.

Introducing The AI-Powered Database Assistant

By fixing problems instantly and averting interruptions, the new Database Assistant is intended to minimize downtime. Even for complicated queries, DBAs may communicate with the system in normal language to get prompt responses without consulting manuals.

The Database Assistant serves as a virtual coach in addition to its troubleshooting skills, speeding up DBA onboarding by offering solutions customized for each Db2 instance. This lowers training expenses and time. By enabling DBAs to address problems promptly and proactively, the database assistant should free them up to concentrate on strategic initiatives that improve the productivity and competitiveness of the company.

IBM Db2 Community Edition

Now available

Db2 12.1

No costs. No adware or credit card. Simply download a single, fully functional Db2 Community License, which you are free to use for as long as you wish.

What you can do when you download Db2

Install on a desktop or laptop and use almost anywhere. Join an active user community to discover events, code samples, and education, and test prototypes in a real-world setting by deploying them in a data center.

Limits of the Community License

Community license restrictions include an 8 GB memory limit and a 4 core constraint.

Read more on govindhtech.com

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IBM and Tech Mahindra launch trustworthy AI with watsonx

New Post has been published on https://thedigitalinsider.com/ibm-and-tech-mahindra-launch-trustworthy-ai-with-watsonx/

IBM and Tech Mahindra launch trustworthy AI with watsonx

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Tech Mahindra, a global provider of technology consulting and digital solutions, has collaborated with IBM to help organisations sustainably accelerate generative AI use worldwide.

This collaboration combines Tech Mahindra’s range of AI offerings, TechM amplifAI0->∞, and IBM’s watsonx AI and data platform with AI Assistants.

Customers can now combine IBM watsonx’s capabilities with Tech Mahindra’s AI consulting and engineering skills to access a variety of new generative AI services, frameworks, and solution architectures. This enables the development of AI apps in which organisations can use their trusted data to automate processes. It also provides a basis for businesses to create trustworthy AI models, promotes explainability to help manage risk and bias, and enables scalable AI adoption across hybrid cloud and on-premises environments.

According to Kunal Purohit, Tech Mahindra’s chief digital services officer, organisations focus on responsible AI practices, and incorporating generative AI technologies to revitalise enterprises. 

“Our work with IBM can help advance digital transformation for organisations, adoption of GenAI, modernisation, and ultimately foster business growth for our global customers,” Purohit added.

To further enhance business capabilities in AI, Tech Mahindra has established a virtual watsonx Centre of Excellence (CoE), which is already operational. This CoE functions as a co-innovation centre, with a dedicated team tasked with maximising synergies between the two companies and producing unique offerings and solutions based on their combined capabilities.

The collaborative offerings and solutions developed through this partnership could help enterprises achieve their goals of constructing machine learning models using open-source frameworks while also enabling them to scale and accelerate the impact of generative AI. These AI-driven solutions have the potential to aid organisations enhance efficiency and productivity responsibly. 

Kate Woolley, GM of IBM Ecosystem, emphasised the collaboration’s potential, adding that generative AI may serve as a catalyst for innovation, unlocking new market opportunities when built on a foundation of explainability, transparency, and trust. 

Woolley said: “Our work with Tech Mahindra is expected to expand the reach of watsonx, allowing even more customers to build trustworthy AI as we seek to combine our technology and expertise to support enterprise use cases such as code modernisation, digital labour, and customer service.”

This collaboration aligns with Tech Mahindra’s continuous endeavour to transform enterprises with advanced AI-led offerings and solutions, including their recent additions like Vision amplifAIer, Ops amplifAIer, Email amplifAIer, Enterprise Knowledge Search offering, Evangelize Pair Programming, and Generative AI Studio.

It is worth mentioning that the two companies have previously collaborated. Earlier this year, Tech Mahindra announced the opening of a Synergy Lounge in conjunction with IBM on the company’s Singapore campus. This Lounge seeks to accelerate digital adoption for APAC organisations. It aids in operationalising and leveraging next-generation technologies such as AI, intelligent automation, hybrid cloud, 5G, edge computing, and cybersecurity.

Beyond Tech Mahindra, IBM watsonx has been used in other collaborations to speed up the deployment of generative AI. Also happened early this year, the GSMA and IBM announced a new partnership to support the use and capabilities of generative AI in the telecom industry by launching GSMA Advance’s AI Training program and the GSMA Foundry Generative AI program.

In addition, there is a digital version of the program that covers both the commercial strategy and technology fundamentals of generative AI. This initiative uses IBM watsonx to provide hands-on training for architects and developers seeking in-depth practical generative AI knowledge.

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, 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, customer service, generative ai, ibm, ibm watson

[loopsh]

IBM Integrates Meta's Llama 3 into Watsonx

IBM has announced its integration of Meta’s Llama 3 open models into its Watsonx platform, marking a pivotal step towards enhancing enterprise-ready AI solutions. This development, revealed on February 29, 2024, signifies a merge of strengths from two leading entities in the tech industry, IBM and Meta, aiming to redefine the landscape of enterprise AI and next-generation models. Understanding…

[ahex-technologies]

In today’s rapidly evolving technological landscape, harnessing the power of artificial intelligence (AI) has become indispensable for businesses looking to stay competitive. Whether you’re developing AI applications in-house or seeking a trusted AI development partner, selecting the right AI platform is a critical decision that can impact the success of your projects. In this comprehensive guide, we’ll explore the options available with leading AI platforms such as OpenAI, Azure AI, WatsonX, and Llama, empowering you to make informed choices tailored to your unique needs and objectives.

[molsons112000]

So at CVS older asian lady purchasing different types of over the counter pharmaceuticals. With c v s system they can track your purchases and it alerts you automatically to any adverse possible drug interactions. This means for any pharmaceuticals. They sell any over-the-counter medication or supplements. This also includes food purchases. So I am on diabetic medication and they can alert me if I make a food purchase that may adversely interact with my diabetic medication. Yes so I buy some coca-cola. And the system would alert me that the high sugar's might cause Elevate it blood sugar levels. Then in the recommendation, it says you should just drink 6 oz over a 12 hour period. So it gives me a consumption recommendation for that product and it shows me an alternative to that product like drinking coke zero. Recommending that I go to an alternative product by Coca-Cola Coke 0.

So I worry about these older individuals. Purchasing stuff and the interactions can cause adverse effects. Like this elderly asian lady at this store. Is purchasing a lot of over the counter pharmaceuticals but they might not work together well.... Here's a list of all drug interaction databases.

So here is a database that does pharmaceutical and nutrition interaction. They should do all supplements as twelve and nutrition interaction. So it can alert you to portion size.Recommendations food or vitamin or pharmaceutical supplementation. Also Recommending that you avoid taking them together and wait 2 to 3 hours as an example.

Integrative Therapeutics

https://integrativepro.com › pages

Drug-Nutrient Interactions

Use this drug-nutrient interaction checker to find potential interactions between prescription drugs and nutritional ingredients



World Health Organization (WHO)

https://www.who.int › databases

Vitamin and Mineral Nutrition Information System (VMNIS)

The VMNIS has four main components: 1) The Micronutrients database; 2) Summaries of biochemical indicators for assessing the prevalence of various vitamin and ...

Missing: interaction ‎| Show results with: interaction



U.S. Pharmacist

https://www.uspharmacist.com › dr...

Drug Interactions with Vitamins and Minerals

by DC Ezzo · 2007 · Cited by 20 — Vitamins and minerals serve crucial functions in almost all bodily processes and must be obtained from

So they can create this system that uses artificial intelligence. And they can team up with Watson from IBM. IBM has a headquarters in Chicago and Warren Buffett is a leading shareholder. They can make this product for cvs and other retailers. They can put this into McDonald's system as well. So you know what to eat and what to avoid or how much of something to eat, telling you to split the servings eat half now and half in 3 hours as an example 🤔

IBM

https://www.ibm.com › watson

IBM Watson

Now through advancements in core Watson technologies, IBM has developed the next generation AI and data platform and set of AI assistants with watsonx. Now

When I was with my ex, Jen I was actually thinking about working for IBM.

Built In Chicago

https://www.builtinchicago.org › ibm

IBM Chicago Office: Careers, Perks + Culture

Apr 24, 2023 — Find jobs, benefits and insider info about IBM, an Information Technology company in Chicago. Office address: 71 S Wacker Dr