Alternatives to IBM Cloud Pak for Watson AIOps

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

Site24x7 provides unified cloud monitoring to support IT operations and DevOps within small and large organizations. The solution monitors real users' experiences on websites and apps from both desktop and mobile devices. DevOps teams can monitor and troubleshoot applications and servers, as well as network infrastructure, including private clouds and public clouds, with in-depth monitoring capabilities. Monitoring the end-user experience is done from more 100 locations around the globe and via various wireless carriers.

HSI Donesafe redefines EHS management with a no-code, cloud-based platform that transforms complex processes into streamlined, user-friendly workflows. Trusted across industries, Donesafe consolidates tracking, management, and reporting into one accessible platform, making compliance simpler and safety more effective. Donesafe’s adaptable design allows teams to customize workflows, forms, and dashboards to meet evolving compliance needs. With tools for incident reporting, audits, training, and risk assessment, staying ahead of regulatory changes has never been easier. Key Features: - Customizable workflows to align with regulations - Real-time insights for live safety tracking - Scalable design that grows with your team - Streamlined compliance tools for smooth audits and reporting Empower your EHS team to achieve safety excellence with HSI Donesafe.

Intelex delivers a unified software system for overseeing Environmental, Health, Safety, and Quality (EHSQ) initiatives. Its expandable platform is crafted to consolidate, oversee, and scrutinize EHS and Quality data comprehensively. The solution works on any device to meet the realities of your workplace. With Intelex, your organization can: Elevate your EHSQ program outcomes by supervising workflows for superior performance and command. Discern patterns and propensities through goal-setting to deepen understanding and improve decision-making in your EHSQ program. Diminish occurrences and cut down on administrative tasks by efficiently supervising, managing, refining, and extracting insights from your safety data via our intuitive safety software. Simplify the management and reporting of air, water, and waste emissions, and oversee environmental outputs to fulfill sustainability objectives. Foster ongoing improvements in quality by seamlessly logging and monitoring all instances of nonconformity within a unified, web-based system. Investigate trends across various departments, sites, or locations. Intelex can help you manage compliance with international standards and regulations such as: OSHA, WCB, ISO 45001, EPA, ISO

Introducing EHS Hero, your all-in-one solution for effective risk, safety, emergency preparedness, compliance, and audit management. Our platform offers comprehensive EHS management tools and solutions to streamline workflows and ensure compliance with federal and state regulations. Our integrated resources developed by in-house experts provide valuable guidance to help you build and implement easy-to-follow training and plans. Additionally, our workflow tools provide automated performance insights, allowing you to identify areas for improvement and track progress over time. Whether you're a small business or a large enterprise, EHS Hero's customizable solutions are designed to meet your unique needs. Our platform's intuitive interface makes it easy to adopt and use, even for your most seasoned workers. We do all the heavy lifting, including data conversion, configuration, and training, to streamline migration so you can be up and running in no time. Experience the difference with our industry-leading EHS management and compliance solution.

GRC is in our DNA: Our unique ability to link risk to business objectives in a single platform empowers your organisation to reliably achieve objectives, navigate uncertainty and demonstrate integrity. Effective GRC management demands software capabilities to facilitate the sharing of data and insights across your wider governance, risk and compliance landscape to drive agility and decision making. We understand that every organisation will have different pain points, be at varying stages of maturity and have different objectives. We deliver solutions for those struggling with spreadsheets or at an Enterprise level, and all in between. Our experience, coupled with our comprehensive, flexible cloud-based offering, allows you to focus on your immediate needs, deliver, and scale as you grow.

Simplify compliance management and get everyone on board with your EHSQ goals! SafetyAmp is a cloud-based, mobile-friendly, cloud-based software that increases engagement, reduces risk, connects your workforce, and improves EHSQ workflows. SafetyAmp is the modern, configurable EHSQ software you've been searching for. It's trusted across industries by today’s workforce.

Over 1,000 organizations worldwide depend on Resolver’s security, risk and compliance software. From healthcare and hospitals to academic institutions, and critical infrastructure organizations including airports, utilities, manufacturers, hospitality, technology, financial services and retail. For security and risk leaders who are looking for a new way to manage incidents and risks, Resolver will help you move from incidents to insights.

All data sources, including topology, monitoring, change, and observation tools, are aggregated. BigPanda's Open Box Machine Learning will combine the data into a limited number of actionable insights. This allows incidents to be detected as they occur, before they become outages. Automatically identifying the root cause of problems can speed up incident and outage resolution. BigPanda identifies both root cause changes and infrastructure-related root causes. Rapidly resolve outages and incidents. BigPanda automates the incident response process, including ticketing, notification, tickets, incident triage, and war room creation. Integrating BigPanda and enterprise runbook automation tools will accelerate remediation. Every company's lifeblood is its applications and cloud services. Everyone is affected when there is an outage. BigPanda consolidates AIOps market leadership with $190M in funding and a $1.2B valuation

Serviceaide is an intuitive service management solution which can be implemented within weeks and not months. You will see a real ROI with low administration costs and rapid implementation. Flexible platform that can be used on-premises or in the cloud. Serviceaide is built on ITIL best practice and has all the components that your team requires. You can select the environment that suits your technology, infrastructure, and compliance needs. Serviceaide is a comprehensive and affordable solution that provides IT staff the tools they need to manage everything, from tickets to incident, change, and asset management. Serviceaide features a virtual agent, self service portals, and AI-based functions to support analyst and user productivity. Automate processes in technical workflows, business processes and services to increase business agility.

Autointelli Inc, a leader in AIOps, delivers innovative solutions that revolutionize modern IT operations through a combination of automation and advanced machine learning techniques. Our focus on providing solutions has led us to create an AIOps platform designed to streamline data center automation. By utilizing the Autointelli AIOps platform, you can effectively minimize alert noise, pinpoint root issues, and reallocate your team to focus on more critical IT responsibilities. Partner with us to enhance your digital workplace experience. The Autointelli AIOps platform accelerates event correlation and seamlessly escalates complex incidents to the appropriate engineers. Furthermore, it includes a robust self-service automation feature, enabling users to design countless workflows for automation purposes. The platform's root cause analysis capability allows for the identification of core issues affecting both hardware and software. Additionally, our analytics tools are engineered to boost your business performance by gleaning valuable insights from all significant data sources, ensuring you remain competitive in a rapidly changing landscape. As technology evolves, having an intelligent AIOps solution becomes essential for sustained operational success.

Utilize AIOps to foresee problems, minimize the impact on users, and streamline resolution processes. Transition from a reactive approach in IT operations to one that leverages insights and automation for better efficiency. Detect unusual patterns and address potential issues proactively through collaborative automation workflows. Enhance digital operations with AIOps by focusing on proactive measures rather than merely responding to incidents. Eliminate the burden of chasing after false positives as you pinpoint anomalies with greater accuracy. Gather and scrutinize telemetry data to achieve improved visibility while minimizing unnecessary distractions. Identify the underlying causes of incidents and provide teams with actionable insights for better collaboration. Take preemptive steps to reduce outages by following guided recommendations, ensuring a more resilient infrastructure. Accelerate recovery efforts by swiftly implementing solutions derived from analytical insights. Streamline repetitive processes using pre-crafted playbooks and resources from your knowledge base. Foster a culture centered on performance across all teams involved. Equip DevOps and Site Reliability Engineers (SREs) with the necessary visibility into microservices to enhance observability and expedite responses to incidents. Expand your focus beyond just IT operations to effectively oversee the entire digital lifecycle and ensure seamless digital experiences. Ultimately, adopting AIOps empowers your organization to stay ahead of challenges and maintain operational excellence.

The IBM® Z® Service Management Suite provides a centralized control point for managing various system elements effectively. It incorporates a range of AIOps features that are essential for overseeing both hardware and software resources within an IBM Systems environment. By utilizing policy-driven automation, organizations can achieve operational excellence, enhancing the uptime of IBM Z systems and IBM Parallel Sysplex® clusters while aligning with critical IT operational goals. Additionally, IBM Z OMEGAMON® facilitates comprehensive monitoring and observability, ensuring the Z platform's health through established best practices and expert guidance accessible via a unified service management interface. Watson AIOps enhances this by correlating monitoring events and leveraging analytics to assess the ramifications of IBM Z events in a hybrid cloud landscape. Furthermore, organizations can analyze IBM OMEGAMON metrics alongside leading AI platforms to gain deeper insights and improve anomaly detection capabilities, ultimately driving more efficient IT operations. This suite empowers businesses to stay ahead of potential issues and ensures optimal performance across their IBM systems.

Streamline the management of service catalogs, alert audits, and SLI reporting throughout your observability platforms with Temperstack. This solution enhances visibility, identifies potential problems early, and fosters collaboration among all team members, from CTOs to SRE engineers. By managing metrics effectively, it helps avert downtimes, swiftly resolve issues, and bolster the reliability of your systems. It also allows for the visualization of dependencies, simplification of SLOs, and achievement of organizational goals. With comprehensive monitoring capabilities, automated alerting, and a focus on reducing operational fatigue, Temperstack measures, optimizes, and accelerates the resolution of incidents. It aids in conducting postmortems, refining configurations, and promoting excellence within teams. Moreover, Temperstack seamlessly integrates with leading monitoring tools, offering a centralized command interface for all observability needs and operates efficiently across a variety of cloud providers. It also facilitates the integration of various tools throughout the development toolchain while providing access to trained experts whenever needed, ensuring that no heavy lifting related to infrastructure is required for users. Ultimately, Temperstack empowers organizations to enhance their operational efficiency and resilience.

You can finally say goodbye to spending your days off trying to identify root causes in your hybrid environment. HPE InfoSight continuously gathers and evaluates data from over 100,000 systems around the globe, transforming that information into smarter, more self-sufficient systems. It is capable of predicting and automatically solving 86% of customer-related issues. To ensure that your applications are always on and performing at top speed, you need enhanced visibility, intelligent performance suggestions, and more predictive autonomous operations from your infrastructure. HPE InfoSight App Insights provides the solution you need. It goes beyond conventional performance monitoring, allowing you to swiftly identify, diagnose, and even anticipate issues across applications and workloads using cutting-edge AI technology. With HPE InfoSight, the dream of fully autonomous infrastructure becomes a tangible reality, paving the way for a more efficient and proactive operational environment. This innovation not only streamlines workflows but also empowers organizations to focus on strategic initiatives rather than troubleshooting.

ModelArts, an all-encompassing AI development platform from Huawei Cloud, is crafted to optimize the complete AI workflow for both developers and data scientists. This platform encompasses a comprehensive toolchain that facilitates various phases of AI development, including data preprocessing, semi-automated data labeling, distributed training, automated model creation, and versatile deployment across cloud, edge, and on-premises systems. It is compatible with widely used open-source AI frameworks such as TensorFlow, PyTorch, and MindSpore, while also enabling the integration of customized algorithms to meet unique project requirements. The platform's end-to-end development pipeline fosters enhanced collaboration among DataOps, MLOps, and DevOps teams, resulting in improved development efficiency by as much as 50%. Furthermore, ModelArts offers budget-friendly AI computing resources with a range of specifications, supporting extensive distributed training and accelerating inference processes. This flexibility empowers organizations to adapt their AI solutions to meet evolving business challenges effectively.

NVIDIA's AI Data Platform stands as a robust solution aimed at boosting enterprise storage capabilities while optimizing AI workloads, which is essential for the creation of advanced agentic AI applications. By incorporating NVIDIA Blackwell GPUs, BlueField-3 DPUs, Spectrum-X networking, and NVIDIA AI Enterprise software, it significantly enhances both performance and accuracy in AI-related tasks. The platform effectively manages workload distribution across GPUs and nodes through intelligent routing, load balancing, and sophisticated caching methods, which are crucial for facilitating scalable and intricate AI operations. This framework not only supports the deployment and scaling of AI agents within hybrid data centers but also transforms raw data into actionable insights on the fly. Furthermore, with this platform, organizations can efficiently process and derive insights from both structured and unstructured data, thereby unlocking valuable information from diverse sources, including text, PDFs, images, and videos. Ultimately, this comprehensive approach helps businesses harness the full potential of their data assets, driving innovation and informed decision-making.

FortiAIOps enhances IT operations by providing proactive visibility through the power of artificial intelligence, facilitating a more efficient network management system. This AI/ML solution is specifically designed for Fortinet networks, enabling rapid data acquisition and the detection of anomalies within the network. The various Fortinet devices, including FortiAPs, FortiSwitches, FortiGates, SD-WAN, and FortiExtender, contribute to the FortiAIOps dataset, which aids in generating insights and correlating events crucial for the network operations center (NOC). This system allows for comprehensive visibility across the entire OSI model, offering detailed Layer 1 data such as RF spectrum analysis to identify potential Wi-Fi interference. Additionally, it provides Layer 7 application insights, revealing the applications that flow through both Ethernet and SD-WAN links. To further assist in network management, users can leverage an array of troubleshooting tools, including VLAN probing, cable verification, spectrum analysis, and service assurance, to effectively diagnose and resolve issues. By employing these tools, organizations can ensure their networks operate smoothly and efficiently.

Qognify empowers organizations to reduce the effects of incidents through its cutting-edge video management software and enterprise incident management offerings. With widespread implementations across banks, utility providers, airports, seaports, urban centers, and transport authorities, Qognify plays a critical role in safeguarding individuals and assets globally. Emphasizing the importance of operational and physical security, Qognify understands that ensuring safety is invaluable. Their solutions facilitate the capture, analysis, and utilization of big data to foresee, handle, and alleviate security and safety challenges, ensuring business continuity while enhancing operational efficiency. By delivering crucial insights, Qognify's products enable businesses and security-focused entities to make informed decisions swiftly by integrating structured and unstructured data from diverse sensors and sources, identifying anomalies, and tracking emerging trends. This comprehensive approach allows organizations to stay one step ahead in their security efforts.

Infraon Infinity is an all-encompassing SaaS product suite designed to keep your IT infrastructure and customer success aligned, facilitating rapid resolutions anytime and anywhere. Its modular design allows you to initiate with a small setup and expand extensively as needed. By implementing an IT infrastructure and customer ecosystem, you can gain valuable insights into aspects like noise reduction and predictive remediation. Regardless of the company's scale, maintaining a consistently operational IT infrastructure is a top priority for executives at all levels, including CEOs and CTOs. The time lost in managing IT assets can have catastrophic consequences, especially now when support ticket volumes are surging across various customer and employee channels, alongside the increasing intricacies of legacy, cloud, and hybrid IT environments. To complicate matters further, ITOps teams shouldn't have to navigate through a tangled web of SaaS and on-premise products that come with frustrating user experiences. Additionally, businesses may find themselves compelled to switch products as they grow, impacting their operational efficiency and overall success. Embracing a streamlined solution like Infraon Infinity can help mitigate these challenges effectively.

Ascend AI Cloud Service delivers immediate access to substantial and affordable AI computing capabilities, serving as a dependable platform for both training and executing models and algorithms, while also providing comprehensive cloud-based toolchains and a strong AI ecosystem that accommodates all leading open-source foundation models. With its remarkable computing resources, it facilitates the training of trillion-parameter models and supports long-duration training sessions lasting over 30 days without interruption on clusters with more than 1,000 cards, ensuring that training tasks can be auto-recovered in less than half an hour. The service features fully equipped toolchains that require no configuration and are ready for use right out of the box, promoting seamless self-service migration for common applications. Furthermore, Ascend AI Cloud Service boasts a complete ecosystem tailored to support prominent open-source models and grants access to an extensive collection of over 100,000 assets found in the AI Gallery, enhancing the user experience significantly. This comprehensive offering empowers users to innovate and experiment within a robust AI framework, ensuring they remain at the forefront of technological advancements.

Achieve comprehensive multi-cloud security that spans across various environments, workloads, and identities. Enhance operational efficiency with a cohesive cloud security platform that integrates Sophos Cloud Native Security, bringing together security tools for workloads, cloud environments, and management of entitlements. This solution seamlessly integrates with SIEM, collaboration tools, workflows, and DevOps resources, which fosters greater agility within your organization. It is essential that your cloud environments remain resilient, difficult to breach, and capable of rapid recovery. Our extensive and user-friendly security and remediation solutions can either be operated by your security teams or through Managed Services, allowing you to accelerate your cyber resilience in response to today's security challenges. Utilize our advanced detection and response (XDR) capabilities to detect and eliminate malware, exploits, misconfigurations, and unusual activities. Proactively search for threats, prioritize alerts, and automatically link security events to improve both investigation and response processes, ensuring that your security posture is continuously strengthened. By implementing these strategies, you can significantly enhance your organization's ability to fend off potential cyber threats.

Eliminate delays, pinpoint inefficiencies, and troubleshoot problems effectively. Become a part of a swiftly growing network of global businesses that are realizing up to 20 times the value and return on investment by utilizing KloudMate, far exceeding other observability platforms. Effortlessly track essential metrics, relationships, and identify irregularities through alerts and tracking issues. Swiftly find critical 'break-points' in your application development process to address problems proactively. Examine service maps for each component within your application while revealing complex connections and dependencies. Monitor every request and operation to gain comprehensive insights into execution pathways and performance indicators. Regardless of whether you are operating in a multi-cloud, hybrid, or private environment, take advantage of consolidated Infrastructure monitoring features to assess metrics and extract valuable insights. Enhance your debugging accuracy and speed with a holistic view of your system, ensuring that you can detect and remedy issues more quickly. This approach allows your team to maintain high performance and reliability in your applications.

The most comprehensive suite of Health & Safety software solutions will streamline your processes and help you manage the risks. ProcessMAP helps companies achieve consistency and provides real-time insights to improve their Health & Safety performance. Standardize, streamline, and track the processes required to comply with various regulations and compliance frameworks. Built-in alerts, robust CAPA Management, and advanced reporting capabilities increase accountability and provide visibility across an organization. They also make it easier to be ready for inspections and audits. The correlation of safety and claims data can reduce risk. Analyze the root causes of claims and events to identify and mitigate risk. Our platform reduces risk by stopping claims from happening. The industry's best cloud platform for sustainability management and metrics reporting. Streamline the collection, verification and analysis of company-wide KPIs.

Investigate the most recent advancements in optimized AI models, link AI agents to data using NVIDIA NeMo, and deploy solutions seamlessly with NVIDIA NIM microservices. NVIDIA NIM comprises user-friendly inference microservices that enable the implementation of foundation models across various cloud platforms or data centers, thereby maintaining data security while promoting efficient AI integration. Furthermore, NVIDIA AI offers access to the Deep Learning Institute (DLI), where individuals can receive technical training to develop valuable skills, gain practical experience, and acquire expert knowledge in AI, data science, and accelerated computing. AI models produce responses based on sophisticated algorithms and machine learning techniques; however, these outputs may sometimes be inaccurate, biased, harmful, or inappropriate. Engaging with this model comes with the understanding that you accept the associated risks of any potential harm stemming from its responses or outputs. As a precaution, refrain from uploading any sensitive information or personal data unless you have explicit permission, and be aware that your usage will be tracked for security monitoring. Remember, the evolving landscape of AI requires users to stay informed and vigilant about the implications of deploying such technologies.

Instill Core serves as a comprehensive AI infrastructure solution that effectively handles data, model, and pipeline orchestration, making the development of AI-centric applications more efficient. Users can easily access it through Instill Cloud or opt for self-hosting via the instill-core repository on GitHub. The features of Instill Core comprise: Instill VDP: A highly adaptable Versatile Data Pipeline (VDP) that addresses the complexities of ETL for unstructured data, enabling effective pipeline orchestration. Instill Model: An MLOps/LLMOps platform that guarantees smooth model serving, fine-tuning, and continuous monitoring to achieve peak performance with unstructured data ETL. Instill Artifact: A tool that streamlines data orchestration for a cohesive representation of unstructured data. With its ability to simplify the construction and oversight of intricate AI workflows, Instill Core proves to be essential for developers and data scientists who are harnessing the power of AI technologies. Consequently, it empowers users to innovate and implement AI solutions more effectively.

Create robust AI applications suitable for enterprises in just minutes, all without the need for coding, using the Katonic generative AI platform. Enhance employee productivity and elevate customer experiences through the capabilities of generative AI. Develop chatbots and digital assistants that effortlessly retrieve and interpret data from documents or dynamic content, refreshed automatically via built-in connectors. Seamlessly identify and extract critical information from unstructured text while uncovering insights in specific fields without the requirement for any templates. Convert complex text into tailored executive summaries, highlighting essential points from financial analyses, meeting notes, and beyond. Additionally, implement recommendation systems designed to propose products, services, or content to users based on their historical interactions and preferences, ensuring a more personalized experience. This innovative approach not only streamlines workflows but also significantly improves engagement with customers and stakeholders alike.

Barbara is the Edge AI Platform in the industry space. Barbara helps Machine Learning Teams, manage the lifecycle of models in the Edge, at scale. Now companies can deploy, run, and manage their models remotely, in distributed locations, as easily as in the cloud. Barbara is composed by: .- Industrial Connectors for legacy or next-generation equipment. .- Edge Orchestrator to deploy and control container-based and native edge apps across thousands of distributed locations .- MLOps to optimize, deploy, and monitor your trained model in minutes. .- Marketplace of certified Edge Apps, ready to be deployed. .- Remote Device Management for provisioning, configuration, and updates. More --> www. barbara.tech

NetApp AIPod presents a holistic AI infrastructure solution aimed at simplifying the deployment and oversight of artificial intelligence workloads. By incorporating NVIDIA-validated turnkey solutions like the NVIDIA DGX BasePOD™ alongside NetApp's cloud-integrated all-flash storage, AIPod brings together analytics, training, and inference into one unified and scalable system. This integration allows organizations to efficiently execute AI workflows, encompassing everything from model training to fine-tuning and inference, while also prioritizing data management and security. With a preconfigured infrastructure tailored for AI operations, NetApp AIPod minimizes complexity, speeds up the path to insights, and ensures smooth integration in hybrid cloud settings. Furthermore, its design empowers businesses to leverage AI capabilities more effectively, ultimately enhancing their competitive edge in the market.

Vertex AI Notebooks offers a comprehensive, end-to-end solution for machine learning development within Google Cloud. It combines the power of Colab Enterprise and Vertex AI Workbench to give data scientists and developers the tools to accelerate model training and deployment. This fully managed platform provides seamless integration with BigQuery, Dataproc, and other Google Cloud services, enabling efficient data exploration, visualization, and advanced ML model development. With built-in features like automated infrastructure management, users can focus on model building without worrying about backend maintenance. Vertex AI Notebooks also supports collaborative workflows, making it ideal for teams to work on complex AI projects together.

Enhancing incident management for active SRE and DevOps teams, this solution integrates your team's expertise with the capabilities of AI and machine learning. It features a correlation engine designed to streamline DevOps and Site Reliability Engineering processes. Through automatic correlation, aggregation, and prioritization of alerts, it ensures that you concentrate on the most critical matters. Swiftly address problems with predictive insights and suggested resolutions that are generated automatically. Additionally, issues are enriched automatically with all pertinent logs, events, and metrics required, no matter the timeframe, allowing for a more comprehensive understanding of incidents. This innovative approach ultimately empowers teams to maintain better operational efficiency and responsiveness in a fast-paced environment.

The Trn1 instances of Amazon Elastic Compute Cloud (EC2), driven by AWS Trainium chips, are specifically designed to enhance the efficiency of deep learning training for generative AI models, such as large language models and latent diffusion models. These instances provide significant cost savings of up to 50% compared to other similar Amazon EC2 offerings. They are capable of facilitating the training of deep learning and generative AI models with over 100 billion parameters, applicable in various domains, including text summarization, code generation, question answering, image and video creation, recommendation systems, and fraud detection. Additionally, the AWS Neuron SDK supports developers in training their models on AWS Trainium and deploying them on the AWS Inferentia chips. With seamless integration into popular frameworks like PyTorch and TensorFlow, developers can leverage their current codebases and workflows for training on Trn1 instances, ensuring a smooth transition to optimized deep learning practices. Furthermore, this capability allows businesses to harness advanced AI technologies while maintaining cost-effectiveness and performance.

Enhance application efficiency and provide impeccable user experiences through unparalleled insights and intelligence. As today's applications become increasingly intricate and the demand for nearly perfect customer interactions rises, conventional Application Performance Management (APM) tools frequently fail to deliver the essential visibility required to address issues before they affect users. Therefore, it is crucial for APM systems to evolve by integrating AIOps functionalities, which allow for earlier detection of anomalies, behavior prediction, and the facilitation of informed automatic corrective measures. DX Application Performance Management (previously known as CA Application Performance Management or CA APM) seamlessly integrates with our AIOps offering, enabling the correlation and analysis of data across users, applications, infrastructure, and network services, thereby providing you with real-time insights into the status of critical business services. Utilizing sophisticated algorithms and machine learning strategies, DX APM can swiftly and accurately pinpoint the likely source of any issue, ensuring that problems are resolved efficiently before impacting users. This proactive approach not only enhances operational efficiency but also significantly elevates overall customer satisfaction.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.

ZIF transforms IT Operations by shifting the focus from a reactive to a proactive approach, facilitating seamless IT processes. It features a unified command interface that consolidates data from various monitoring tools and devices, supported by over 100 plugins. This setup delivers actionable insights on events, helping to minimize infrastructure noise by correlating events and reducing false alarms. Additionally, it aids in swiftly identifying root causes by utilizing infrastructure and application heat maps for quicker issue detection. With the aid of predictive analytics, potential problems are forecasted before they can cause significant disruptions, employing both supervised and unsupervised machine learning techniques. The system also logs incidents in the IT Service Management (ITSM) tool while ensuring that the appropriate personnel are notified through the Virtual Supervisor. Furthermore, it automates repetitive tasks and complex workflows, enhancing overall efficiency. The benefits include comprehensive visibility across the enterprise, improved operational efficiency through noise reduction, and the ability to proactively identify risks based on patterns without relying on a Configuration Management Database (CMDB). Consequently, organizations can achieve faster Mean-Time-To-Repair (MTTR) and maintain a more resilient IT infrastructure overall.

Effx offers an effortless approach to managing and navigating your microservices architecture. No matter if your setup consists of just a couple or a vast number of microservices, effx will monitor and assist you, whether you're using a public cloud, an orchestration system, or an on-premises solution. Handling incidents across a collection of microservices can often be complicated. With effx, you gain valuable context that allows you to pinpoint potential causes of outages in real-time effectively. You've made significant investments to be aware of any production disruptions. Our platform enhances your preparedness by evaluating services based on critical attributes that ensure their operational readiness, ultimately empowering your team to respond swiftly and efficiently.

Online service desk software that is best in class. ServiceDesk Plus Cloud is the simple-to-use SaaS service management software from ManageEngine, the IT division of Zoho. It will help you offer your customers world-class solutions. The cloud-based IT ticketing platform, used by more than 100,000 IT service desks around the world, makes it easy to track and manage IT tickets, resolve issues quicker, and ensure end-user satisfaction. With out-of-the-box ITIL workflows, you can manage the entire life cycle of IT issues, problems, and projects. You can create support SLAs, set escalation levels and ensure compliance. Automate ticket dispatch, categorization and classification based on predefined business rules. Set up notifications and alerts to ensure timely ticket resolution. Your users will have more control and reduce walk-ins. Allow end users to access IT services via your service catalog and self-service portal. Allow users to create and track tickets, and search for solutions.

Exigence provides a command-and-control center software that helps manage major incidents. Exigence automates collaboration between stakeholders within and outside the organization. It organizes it around a timeline that records each step taken to resolve an issue and drives workflows among stakeholders and tools. This ensures that all stakeholders are on the same page. The product connects stakeholders, processes, and tools, reducing time to resolution. Customers who have used Exigence have experienced a transparent process, quicker onboarding of the relevant stakeholders, and a shorter time to resolve critical incidents. Exigence is used by customers to address critical incidents as well as for planned cyber incidents such as business continuity testing or software release.

Amazon SageMaker Clarify offers machine learning (ML) practitioners specialized tools designed to enhance their understanding of ML training datasets and models. It identifies and quantifies potential biases through various metrics, enabling developers to tackle these biases and clarify model outputs. Bias detection can occur at different stages, including during data preparation, post-model training, and in the deployed model itself. For example, users can assess age-related bias in both their datasets and the resulting models, receiving comprehensive reports that detail various bias types. In addition, SageMaker Clarify provides feature importance scores that elucidate the factors influencing model predictions and can generate explainability reports either in bulk or in real-time via online explainability. These reports are valuable for supporting presentations to customers or internal stakeholders, as well as for pinpointing possible concerns with the model's performance. Furthermore, the ability to continuously monitor and assess model behavior ensures that developers can maintain high standards of fairness and transparency in their machine learning applications.

You can easily digitalize all your field inspections using Smartflow. Use the platform to digitalize inspections, operations, daily tasks, opera rounds, checklists, and other processes. With Smartflow you can create complex workflows using our drag & drop functionality. You get full control over the processes while you tailor them to meet the challenges & goals of your business objectives. You can easily add data from different sources or systems and use it when you create workflows. Smartflow provides you with instant analytics and data reports that you can share with all your customers.

Vast.ai offers the lowest-cost cloud GPU rentals. Save up to 5-6 times on GPU computation with a simple interface. Rent on-demand for convenience and consistency in pricing. You can save up to 50% more by using spot auction pricing for interruptible instances. Vast offers a variety of providers with different levels of security, from hobbyists to Tier-4 data centres. Vast.ai can help you find the right price for the level of reliability and security you need. Use our command-line interface to search for offers in the marketplace using scriptable filters and sorting options. Launch instances directly from the CLI, and automate your deployment. Use interruptible instances to save an additional 50% or even more. The highest bidding instance runs; other conflicting instances will be stopped.

OpenText™, Operations Bridge, is enterprise performance and event management software. It accelerates your move to AIOps full stack across multicloud and on premises environments with automated discovery, monitoring and remediation. A SaaS platform consolidates data from across your toolkits, pinpoints service delays, and identifies solutions to help you adopt AIOps faster. Discover services and dependent resources dynamically in the cloud and on-premises, gaining complete IT visibility and solving problems faster. Choose the deployment method that best fits your organization's needs, whether it is speed and flexibility or total control.

Advancements in machine learning have led to significant breakthroughs in both business applications and research, impacting areas such as network security and medical diagnostics. To empower a broader audience to achieve similar innovations, we developed the Tensor Processing Unit (TPU). This custom-built machine learning ASIC is the backbone of Google services like Translate, Photos, Search, Assistant, and Gmail. By leveraging the TPU alongside machine learning, companies can enhance their success, particularly when scaling operations. The Cloud TPU is engineered to execute state-of-the-art machine learning models and AI services seamlessly within Google Cloud. With a custom high-speed network delivering over 100 petaflops of performance in a single pod, the computational capabilities available can revolutionize your business or lead to groundbreaking research discoveries. Training machine learning models resembles the process of compiling code: it requires frequent updates, and efficiency is key. As applications are developed, deployed, and improved, ML models must undergo continuous training to keep pace with evolving demands and functionalities. Ultimately, leveraging these advanced tools can position your organization at the forefront of innovation.

Specifically designed to deploy AI seamlessly across all types of data, our solution maximizes the potential of your unstructured information, enabling you to access, prepare, train, optimize, and implement AI without constraints. We have integrated our top-tier file and object storage options, such as PowerScale, ECS, and ObjectScale, with our PowerEdge servers and a contemporary, open data lakehouse framework. This combination empowers you to harness AI for your unstructured data, whether on-site, at the edge, or in any cloud environment, ensuring unparalleled performance and limitless scalability. Additionally, you can leverage a dedicated team of skilled data scientists and industry professionals who can assist in deploying AI applications that yield significant benefits for your organization. Moreover, safeguard your systems against cyber threats with robust software and hardware security measures alongside immediate threat detection capabilities. Utilize a unified data access point to train and refine your AI models, achieving the highest efficiency wherever your data resides, whether that be on-premises, at the edge, or in the cloud. This comprehensive approach not only enhances your AI capabilities but also fortifies your organization's resilience against evolving security challenges.

Effortlessly create, launch, and oversee computer vision applications with a fully managed application development environment that cuts down the development time from days to mere minutes at a fraction of the cost compared to existing solutions. Seamlessly ingest live video and image streams on a global scale, allowing for rapid and convenient data handling. Utilize a user-friendly drag-and-drop interface to develop computer vision applications with ease. Efficiently store and search through petabytes of data, all while benefiting from integrated AI functionalities. Vertex AI Vision equips users with comprehensive tools to manage every stage of their computer vision application life cycle, including ingestion, analysis, storage, and deployment. Connect the output of your applications effortlessly to data destinations, such as BigQuery for in-depth analytics or live streaming to promptly drive business decisions. Ingest and process thousands of video streams from various locations worldwide, ensuring scalability and flexibility. With a subscription-based pricing model, users can take advantage of costs that are up to ten times lower than those of previous options, providing a more economical solution for businesses. This innovative approach allows organizations to harness the full potential of computer vision technology with unprecedented efficiency and affordability.

Easily train and deploy large-scale AI models with just a single command by pointing to your S3 bucket—then let us take care of everything else, including orchestration, efficiency, node failures, and infrastructure management. The process is straightforward and scalable, allowing you to utilize MosaicML to train and serve large AI models using your own data within your secure environment. Stay ahead of the curve with our up-to-date recipes, techniques, and foundation models, all developed and thoroughly tested by our dedicated research team. With only a few simple steps, you can deploy your models within your private cloud, ensuring that your data and models remain behind your own firewalls. You can initiate your project in one cloud provider and seamlessly transition to another without any disruptions. Gain ownership of the model trained on your data while being able to introspect and clarify the decisions made by the model. Customize content and data filtering to align with your business requirements, and enjoy effortless integration with your existing data pipelines, experiment trackers, and other essential tools. Our solution is designed to be fully interoperable, cloud-agnostic, and validated for enterprise use, ensuring reliability and flexibility for your organization. Additionally, the ease of use and the power of our platform allow teams to focus more on innovation rather than infrastructure management.

Accelerate the development of your deep learning project on Google Cloud: Utilize Deep Learning Containers to swiftly create prototypes within a reliable and uniform environment for your AI applications, encompassing development, testing, and deployment phases. These Docker images are pre-optimized for performance, thoroughly tested for compatibility, and designed for immediate deployment using popular frameworks. By employing Deep Learning Containers, you ensure a cohesive environment throughout the various services offered by Google Cloud, facilitating effortless scaling in the cloud or transitioning from on-premises setups. You also enjoy the versatility of deploying your applications on platforms such as Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm, giving you multiple options to best suit your project's needs. This flexibility not only enhances efficiency but also enables you to adapt quickly to changing project requirements.

Enhance machine learning model performance by capturing real-time training metrics and issuing alerts for any detected anomalies. To minimize both time and expenses associated with the training of ML models, the training processes can be automatically halted upon reaching the desired accuracy. Furthermore, continuous monitoring and profiling of system resource usage can trigger alerts when bottlenecks arise, leading to better resource management. The Amazon SageMaker Debugger significantly cuts down troubleshooting time during training, reducing it from days to mere minutes by automatically identifying and notifying users about common training issues, such as excessively large or small gradient values. Users can access alerts through Amazon SageMaker Studio or set them up via Amazon CloudWatch. Moreover, the SageMaker Debugger SDK further enhances model monitoring by allowing for the automatic detection of novel categories of model-specific errors, including issues related to data sampling, hyperparameter settings, and out-of-range values. This comprehensive approach not only streamlines the training process but also ensures that models are optimized for efficiency and accuracy.

Pipeshift is an adaptable orchestration platform developed to streamline the creation, deployment, and scaling of open-source AI components like embeddings, vector databases, and various models for language, vision, and audio, whether in cloud environments or on-premises settings. It provides comprehensive orchestration capabilities, ensuring smooth integration and oversight of AI workloads while being fully cloud-agnostic, thus allowing users greater freedom in their deployment choices. Designed with enterprise-level security features, Pipeshift caters specifically to the demands of DevOps and MLOps teams who seek to implement robust production pipelines internally, as opposed to relying on experimental API services that might not prioritize privacy. Among its notable functionalities are an enterprise MLOps dashboard for overseeing multiple AI workloads, including fine-tuning, distillation, and deployment processes; multi-cloud orchestration equipped with automatic scaling, load balancing, and scheduling mechanisms for AI models; and effective management of Kubernetes clusters. Furthermore, Pipeshift enhances collaboration among teams by providing tools that facilitate the monitoring and adjustment of AI models in real-time.

Deploy GPU-accelerated instances that can be finely tuned to suit your AI requirements and financial plan. Secure access to thousands of GPUs within a cutting-edge AI data center, ideal for extensive training and inference operations. The trend in the AI landscape is clearly leaning towards GPU cloud solutions, allowing for the creation and deployment of innovative models while alleviating the challenges associated with infrastructure management and resource limitations. AI-focused cloud providers significantly surpass conventional hyperscalers in terms of availability, cost efficiency, and the ability to scale GPU usage for intricate AI tasks. Ori boasts a diverse array of GPU types, each designed to meet specific processing demands, which leads to a greater availability of high-performance GPUs compared to standard cloud services. This competitive edge enables Ori to deliver increasingly attractive pricing each year, whether for pay-as-you-go instances or dedicated servers. In comparison to the hourly or usage-based rates of traditional cloud providers, our GPU computing expenses are demonstrably lower for running extensive AI operations. Additionally, this cost-effectiveness makes Ori a compelling choice for businesses seeking to optimize their AI initiatives.