IBM Cloud Pak for Watson AIOps Alternatives

Resolver gathers all risk data and analyzes it in context — revealing the true business impact within every risk. Our Risk Intelligence Platform traces the extended implications of all types of risks — whether compliance or audit, incidents or threats — and translates those effects into quantifiable business metrics. Finally, risk becomes a key driver of opportunity instead of being disconnected from the business. Choose the risk intelligence software used by over 1000 of the world’s largest organizations. Resolver makes it easy to collaborate and collect data from across the enterprise, allowing teams to fully understand their risk landscape and control effectiveness. Understanding your data is one thing; being able to use it to drive vital action. Resolver automates workflows and reporting to ensure risk intelligence turns into risk reduction. Welcome to the new world of Risk Intelligence.

Intelex is an integrated software solution for managing Environmental, Health, Safety and Quality (EHSQ) programs. Intelex’s scalable platform is designed to store, manage and analyze EHS and Quality data in one place. The solution works on any device to meet the realities of your workplace. With Intelex, your organization can: - Drive better results in your EHSQ program by monitoring workflows to achieve top performance and gain control. - Identify trends and tendencies by setting goals to gain greater insight into your EHSQ program to enhance judgement. - Reduce incidents and administrative work by easily monitoring, managing, optimizing and drawing insights from your safety data with our user-friendly safety software solution. - Streamline air, water and waste emissions management and reporting, and track and manage environmental outputs to achieve sustainability goals. - Drive continuous quality improvement activities across multiple departments, sites or locations.

ChangeGear is a complete service management solution that can be implemented in weeks, not months, and intuitive to use. With low administration costs and quick implementation, you will see a real return on your investment. A flexible platform that works either on premise or in the cloud. ChangeGear is based on ITIL best practices and has been designed to be a comprehensive solution with all the components your team needs. You can choose the environment that best suits your technology, compliance, and infrastructure needs. Affordable and comprehensive, ChangeGear provides IT staff with the functions required to manage everything from ticketing to incident, change and asset management and more. ChangeGear includes a virtual agent, self-service portals and AI-based features to support analyst and end user productivity. Automate processes across technical workflows, services and business processes for business agility.

Enabling your GRC success through Camms powerful, agile and scalable software. Effective Governance, Risk and Compliance (GRC) management demands software capabilities to facilitate the sharing of data and insights across your wider risk landscape to drive agility and decision making – That’s where we come in! We understand that every business 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.

Improve claim outcomes with streamlined First Notice of Loss (FNOL), claim processing and flexible reporting. INCIDENT BASED CLAIMS MANAGEMENT Effective claims management is about more than simply managing claims outcomes. It is about having an automated process that ensures efficiency and accuracy across the organization, getting timely notice of losses, and taking swift action are keys to success. The incident-based approach of Cloud Claims covers all accidents and losses, delivering a complete picture of loss to executives and claims managers. REPORTING Are your business executives frustrated by the lack of real-time insight into claim activity? Streamline claims operations with alerts and reminders to engage the right resources at the right time. Cloud Claims is cloud-based and able to connect with your systems via API. Large distributed organizations can enable workers at various locations to report incidents in real-time to management.

Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.

Predict issues, reduce user impact, and automate resolutions with AIOps. Move away from reactive IT operations with insights and automation. Identify anomalies and solve issues before they occur with cross-team automation workflows. Deliver proactive digital operations with AIOps. Stop chasing false positives and identify anomalies with less guesswork. Collect and analyze telemetry data for enhanced visibility and reduced noise. Find the root cause of incidents and share actionable insights across teams. Reduce outages by taking action based on guided recommendations. Shorten recovery times by rapidly implementing solutions based on insights. Simplify repetitive tasks with pre-built playbooks and knowledge base resources. Create a performance-driven culture across teams. Give DevOps and Site Reliability Engineers (SREs) visibility into microservices to improve observability and speed up incident response. Go beyond IT operations to manage the entire digital lifecycle.

You won’t spend any more days off searching for a root cause deep in your hybrid environment. Every second, HPE InfoSight collects and analyzes data from more than 100,000 systems worldwide, and uses that intelligence to make every system smarter and more self-sufficient. HPE InfoSight predicts and automatically resolves 86% of customer issues. Achieving always-on, always-fast apps requires greater visibility, intelligent performance recommendations, and more predictive autonomous operations from infrastructure. HPE InfoSight App Insights is your answer. Go beyond traditional performance monitoring to quickly locate, diagnose, and even predict problems across apps and workloads with the power of AI. HPE InfoSight leverages the power of AI to make autonomous infrastructure a reality.

Automate service catalogs, alert audits & SLI reporting across your observability tools. Temperstack provides visibility, proactively surfaces issues, and enables collaboration across teams, from CTOs to SRE engineers. Control metrics, prevent downtimes, resolve issues, and improve your system's reliability. Visualize dependencies, streamline SLOs, and drive goal achievement. Ensure comprehensive monitoring, automate alerts, and reduce fatigue. Measure, streamline, and accelerate incident resolution. Facilitate postmortems, optimize configurations, and cultivate excellence. Temperstack integrates with the most popular monitoring tools, providing a unified command interface for all observability. Operates on top of most cloud providers. Integrate tools across the dev toolchain. Trained experts to guide you at any time. No infrastructure heavy lifting is needed.

Autointelli Inc, an AIOps company, provides solutions that handle modern IT operations (ITOps) with a duo of automation and machine learning. With a solution-oriented approach, we thrive in developing an AIOps platform that simplifies data center automation. Automate them with Autointelli AIOps platform – reduce alert noise, identify root causes and free your resources for high-value IT tasks. Build a better digital workplace with us. Autointelli AIOps Platform automatically correlates the events faster and escalates the tedious incidents to respective engineers. Autointelli AIOps Platform comes with a self-service automation feature that allows you to create any number of workflows to automate. Root cause analysis helps to identify the underlying cause of a problem in hardware and software. Analytics should enhance your business performance and provide possible insights from all major data sources.

IBM® Z® Service Management Suite offers a single point of control for systems management functions for many system elements. This suite delivers multiple AIOps capabilities required to manage both hardware and software enterprise resources in an IBM Systems complex. Achieve operational excellence with policy-based automation, maximizing availability of IBM Z systems and IBM Parallel Sysplex® clusters and optimizing key IT operations objectives. Leverage IBM Z OMEGAMON® to extend monitoring and observability to manage the health of the Z platform with product-provided best practices and expert advice from a single service management console. Use Watson AIOps to correlate monitoring events and apply analytics to understand the impact from IBM Z events across hybrid cloud. Analyze IBM OMEGAMON metrics with popular AI platforms for improved visibility and anomaly detection.

FortiAIOps delivers proactive visibility and speeds IT operations, powered by AI. FortiAIOps is an artificial intelligence with machine learning (AI/ML) solution for Fortinet networks. This ensures quick data collection and identification of network anomalies. Fortinet network devices (FortiAPs, FortiSwitches, FortiGates, SD-WAN, FortiExtender) across the network feed the FortiAIOps dataset, enabling insights and event correlation for the network operations center (NOC). Enable visibility into your network across the full OSI stack. For example, get Layer 1 information, such as full RF spectrum analysis to understand interference on your Wi-Fi network. And, get Layer 7 application information that allows you to see what applications are traversing your Ethernet and your SD-WAN connections. Utilize a suite of troubleshooting tools to probe the network and understand diagnose issues. VLAN probing, cable verification, spectrum analysis, service assurance, and more.

Instill Core is an all-in-one AI infrastructure tool for data, model, and pipeline orchestration, streamlining the creation of AI-first applications. Access is easy via Instill Cloud or by self-hosting from the instill-core GitHub repository. Instill Core includes: Instill VDP: The Versatile Data Pipeline (VDP), designed for unstructured data ETL challenges, providing robust pipeline orchestration. Instill Model: An MLOps/LLMOps platform that ensures seamless model serving, fine-tuning, and monitoring for optimal performance with unstructured data ETL. Instill Artifact: Facilitates data orchestration for unified unstructured data representation. Instill Core simplifies the development and management of sophisticated AI workflows, making it indispensable for developers and data scientists leveraging AI technologies.

Watsonx is our upcoming enterprise-ready AI and data platform designed to multiply the impact of AI across your business. The platform comprises three powerful components: the watsonx.ai studio for new foundation models, generative AI and machine learning; the watsonx.data fit-for-purpose store for the flexibility of a data lake and the performance of a data warehouse; plus the watsonx.governance toolkit, to enable AI workflows that are built with responsibility, transparency and explainability. Watsonx is our enterprise-ready AI and data platform designed to multiply the impact of AI across your business. The platform comprises three powerful products: the watsonx.ai studio for new foundation models, generative AI and machine learning; the watsonx.data fit-for-purpose data store, built on an open lakehouse architecture; and the watsonx.governance toolkit, to accelerate AI workflows that are built with responsibility, transparency and explainability.

Barbara is the Edge AI Platform for organizations looking to overcome the challenges of deploying AI, in mission-critical environments. With Barbara companies can deploy, train and maintain their models across thousands of devices in an easy fashion, with the autonomy, privacy and real- time that the cloud can´t match. Barbara technology stack 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

Build powerful enterprise-grade AI applications in minutes, without any coding on the Katonic generative AI platform. Boost the productivity of your employees and take your customer experience to the next level with the power of generative AI. Build AI-powered chatbots and digital assistants that can access and process information from documents or dynamic content refreshed automatically through pre-built connectors. Identify and extract essential information from unstructured text or surface insights in specialized domain areas without having to create any templates. Transform dense text into a personalized executive overview, capturing key points from financial reports, meeting transcriptions, and more. Build recommendation systems that can suggest products, services, or content to users based on their past behavior and preferences.

Infraon Infinity is a fully integrated, SaaS product suite that keeps your IT infrastructure & customer success on track while enabling fast ‘anytime, anyplace’ resolutions. As a modular product, Infraon Infinity equips you to start small and scale high and wide. Deploy an IT infrastructure and customer ecosystem to offer insights on noise reduction, remediation, prediction, etc. No matter the size of the enterprise, ensuring IT infrastructure is always on is a huge priority, from CEOs to CTOs. So, losing time while managing IT assets can prove to be disastrous. Today, it’s more important than ever, with ticket volume skyrocketing across all customer/employee support channels and the growing complexities of legacy, cloud, and hybrid IT environments. The last thing your ITOps teams need is to get lost in the maze of SaaS/on-premise products with broken user experiences. Moreover, you may be forced to change products based on growth and scalability.

Qognify helps organizations minimize the impact of incidents with its innovative portfolio of video management software and enterprise incident management solutions. With thousands of deployments in banks, utility companies, airports, seaports, city centers, and transportation agencies, Qognify helps agencies all over the world keep people and assets safe. Qognify places a premium on operational and physical security strategies because safety is priceless. Qognify solutions help organizations capture, analyze, and leverage big data to anticipate, manage, and mitigate security and safety risks, maintain business continuity, and streamline operations. The Qognify offerings provide valuable insights that enable enterprises and security-conscious organizations to take the best action at the right time by correlating structured and unstructured data from multiple sensors and channels, detecting irregular patterns, and recognizing trends.

Complete multi-cloud security coverage across environments, workloads, and identities. Boost efficiency with a single integrated cloud security platform. Sophos Cloud Native Security unifies security tools across workloads, cloud environments, and entitlements management. Integrated with SIEM, collaboration, workflow, and DevOps tools to increase agility across an organization. Your cloud environments need to be tough, hard to compromise and quick to recover. Our comprehensive and intuitive security and remediation tools can be managed by your security teams, or via Managed Services to fast-track your cyber resilience to best meet the security incidents of today. Leverage our extended detection and response (XDR) tools to identify and stop malware, exploits, misconfigurations, and anomalous behaviors. Hunt for threats, prioritize detections, and automatically connect security events to optimize investigation and response.

Streamline processes and manage associated risks with the most integrated suite of Health & Safety software solutions. With ProcessMAP, companies establish consistency and provides realtime insights to improve your Health & Safety performance and ROI. Streamline, standardize, and track processes essential to various regulations and compliance frameworks. Built-in alerts, robust CAPA management, and advanced reporting capabilities increase accountability, provide visibility across the organization, and keep you ready for audits and inspections. Reduce risk through the correlation of safety and claims experience data. Identify and mitigate unsafe activities and associated risk by analyzing the root cause of events and claims. Our platform helps reduce risk by stopping claims before they happen. Manage sustainability performance and metrics reporting with the industry's leading cloud platform. Streamline collection, verification, and analysis of company-wide KPIs.

Squash latencies, detect bottlenecks, and debug errors. Join a rapidly expanding community of businesses from around the world, that are achieving 20X value and ROI by adopting KloudMate, compared to any other observability platform. Quickly monitor crucial metrics, and dependencies, and detect anomalies through alarms and issue tracking. Instantly locate ‘break-points’ in your application development lifecycle, to proactively fix issues. View service maps for every component in your application, and uncover intricate interconnections and dependencies. Trace every request and operation, providing detailed visibility into execution paths and performance metrics. Whether it's multi-cloud, hybrid, or private architecture, access unified Infrastructure monitoring capabilities to monitor metrics and gather insights. Supercharge debugging speed and precision with a complete system view. Identify and resolve issues faster.

Aggregate data from all observability, monitoring, change and topology tools. BigPanda’s Open Box Machine Learning will correlate the data into a small number of actionable insights so incidents are detected in real-time, as they form, before they escalate into outages. Accelerate incident and outage resolution by automatically identifying the probable root cause of problems. BigPanda identifies both root cause changes and infrastructure-related root causes. Resolve incidents and outages faster. BigPanda automates and streamlines the incident response lifecycle across incident triage, ticketing, notifications, and war room creation. Accelerate remediation by integrating BigPanda with enterprise runbook automation tools. Applications and cloud services are the lifeblood of every company. When there’s an outage, everyone is impacted. BigPanda cements AIOps market leadership with $190M in funding, $1.2B valuation.

Smarter incident management for busy SRE and DevOps teams. Your team’s knowledge meets AI & machine learning. An AI and machine learning powered correlation engine for DevOps and Site Reliability Engineering. Automatic correlation, aggregation and prioritization of alerts to help you focus on what matters most. Resolve issues faster with automated predictive insights and recommended solutions. Automatically enriched issues containing all the relevant logs, events and metrics you need, regardless of the timeframe.

Amazon SageMaker Clarify provides machine learning (ML) developers with purpose-built tools to gain greater insights into their ML training data and models. SageMaker Clarify detects and measures potential bias using a variety of metrics so that ML developers can address potential bias and explain model predictions. SageMaker Clarify can detect potential bias during data preparation, after model training, and in your deployed model. For instance, you can check for bias related to age in your dataset or in your trained model and receive a detailed report that quantifies different types of potential bias. SageMaker Clarify also includes feature importance scores that help you explain how your model makes predictions and produces explainability reports in bulk or real time through online explainability. You can use these reports to support customer or internal presentations or to identify potential issues with your model.

Shoreline is the Cloud Reliability platform — the only platform that lets DevOps engineers build automations in an afternoon, and fix issues forever. Shoreline reduces on-call complexity by running across clouds, Kubernetes clusters, and VMs allowing operators to manage their entire fleet as if it were a single box. Debugging and repairing issues is easy with advanced tooling for your best SREs, automated runbooks for the broader team, and a platform that makes building automations 30X faster. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment. 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.

Vast.ai is the market leader in low-cost cloud GPU rental. Use one simple interface to save 5-6X on GPU compute. Use on-demand rentals for convenience and consistent pricing. Or save a further 50% or more with interruptible instances using spot auction based pricing. Vast has an array of providers that offer different levels of security: from hobbyists up to Tier-4 data centers. Vast.ai helps you find the best pricing for the level of security and reliability you need. Use our command line interface to search the entire marketplace for offers while utilizing scriptable filters and sort options. Launch instances quickly right from the CLI and easily automate your deployment. Save an additional 50% or more by using interruptible instances and auction pricing. The highest bidding instances run; other conflicting instances are stopped.

Machine learning has produced business and research breakthroughs ranging from network security to medical diagnoses. We built the Tensor Processing Unit (TPU) in order to make it possible for anyone to achieve similar breakthroughs. Cloud TPU is the custom-designed machine learning ASIC that powers Google products like Translate, Photos, Search, Assistant, and Gmail. Here’s how you can put the TPU and machine learning to work accelerating your company’s success, especially at scale. Cloud TPU is designed to run cutting-edge machine learning models with AI services on Google Cloud. And its custom high-speed network offers over 100 petaflops of performance in a single pod, enough computational power to transform your business or create the next research breakthrough. Training machine learning models is like compiling code: you need to update often, and you want to do so as efficiently as possible. ML models need to be trained over and over as apps are built, deployed, and refined.

Easily build, deploy, and manage computer vision applications with a fully managed, end-to-end application development environment that reduces the time to build computer vision applications from days to minutes at one-tenth the cost of current offerings. Quickly and conveniently ingest real-time video and image streams at a global scale. Easily build computer vision applications using a drag-and-drop interface. Store and search petabytes of data with built-in AI capabilities. Vertex AI Vision includes all the tools needed to manage the life cycle of computer vision applications, across ingestion, analysis, storage, and deployment. Easily connect application output to a data destination, like BigQuery for analytics, or live streaming to drive real-time business actions. Ingest thousands of video streams from across the globe. With a monthly pricing model, enjoy up to one-tenth lower costs than previous offerings.

Train and serve large AI models at scale with a single command. Point to your S3 bucket and go. We handle the rest, orchestration, efficiency, node failures, and infrastructure. Simple and scalable. MosaicML enables you to easily train and deploy large AI models on your data, in your secure environment. Stay on the cutting edge with our latest recipes, techniques, and foundation models. Developed and rigorously tested by our research team. With a few simple steps, deploy inside your private cloud. Your data and models never leave your firewalls. Start in one cloud, and continue on another, without skipping a beat. Own the model that's trained on your own data. Introspect and better explain the model decisions. Filter the content and data based on your business needs. Seamlessly integrate with your existing data pipelines, experiment trackers, and other tools. We are fully interoperable, cloud-agnostic, and enterprise proved.

Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values.

Build your deep learning project quickly on Google Cloud: Quickly prototype with a portable and consistent environment for developing, testing, and deploying your AI applications with Deep Learning Containers. These Docker images use popular frameworks and are performance optimized, compatibility tested, and ready to deploy. Deep Learning Containers provide a consistent environment across Google Cloud services, making it easy to scale in the cloud or shift from on-premises. You have the flexibility to deploy on Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm.

Launch GPU-accelerated instances highly configurable to your AI workload & budget. Reserve thousands of GPUs in a next-gen AI data center for training and inference at scale. The AI world is shifting to GPU clouds for building and launching groundbreaking models without the pain of managing infrastructure and scarcity of resources. AI-centric cloud providers outpace traditional hyperscalers on availability, compute costs and scaling GPU utilization to fit complex AI workloads. Ori houses a large pool of various GPU types tailored for different processing needs. This ensures a higher concentration of more powerful GPUs readily available for allocation compared to general-purpose clouds. Ori is able to offer more competitive pricing year-on-year, across on-demand instances or dedicated servers. When compared to per-hour or per-usage pricing of legacy clouds, our GPU compute costs are unequivocally cheaper to run large-scale AI workloads.

The simplest way to navigate and operate your microservices. Whether you only have two or thousands of microservices, effx will track and guide you regardless of orchestration system, public cloud, or on-premise environment. Incidents across a fleet of microservices are rarely simple. effx provides context to help you orient around the potential causes of every outage in real-time. You’ve invested in your ability to know when production breaks. We help you proactively prepare for those moments by scoring services on key attributes that ensure they’re ready.

AI Cloud is a new approach built for the demands, challenges and opportunities of AI today. A single system of record, accelerating the delivery of AI to production for every organization. All users collaborate in a unified environment built for continuous optimization across the entire AI lifecycle. The AI Catalog enables seamlessly finding, sharing, tagging, and reusing data, helping to speed time to production and increase collaboration. The catalog provides easy access to the data needed to answer a business problem while ensuring security, compliance, and consistency. If your database is protected by a network policy that only allows connections from specific IP addresses, contact Support for a list of addresses that an administrator must add to your network policy (whitelist).

Now available—a next generation enterprise studio for AI builders to train, validate, tune and deploy AI models IBM® watsonx.ai™ AI studio is part of the IBM watsonx™ AI and data platform, bringing together new generative AI (gen AI) capabilities powered by foundation models and traditional machine learning (ML) into a powerful studio spanning the AI lifecycle. Tune and guide models with your enterprise data to meet your needs with easy-to-use tools for building and refining performant prompts. With watsonx.ai, you can build AI applications in a fraction of the time and with a fraction of the data. Watsonx.ai offers: End-to-end AI governance: Enterprises can scale and accelerate the impact of AI with trusted data across the business, using data wherever it resides. Hybrid, multi-cloud deployments: IBM provides the flexibility to integrate and deploy your AI workloads into your hybrid-cloud stack of choice.

Foundry is a new breed of public cloud, powered by an orchestration platform that makes accessing AI compute as easy as flipping a light switch. Explore the high-impact features of our GPU cloud services designed for maximum performance and reliability. Whether you’re managing training runs, serving clients, or meeting research deadlines. Industry giants have invested for years in infra teams that build sophisticated cluster management and workload orchestration tools to abstract away the hardware. Foundry makes this accessible to everyone else, ensuring that users can reap compute leverage without a twenty-person team at scale. The current GPU ecosystem is first-come, first-serve, and fixed-price. Availability is a challenge in peak times, and so are the puzzling gaps in rates across vendors. Foundry is powered by a sophisticated mechanism design that delivers better price performance than anyone on the market.

Prototype and production event-driven, distributed workflows that span AI models, APIs, databases, ETL systems, and applications, all in one platform. Enable a faster time to value for your organization while cutting down operational overhead and infrastructure complexity. Focus on investing in proprietary logic and accelerating feature delivery without wasting time on platform and architecture decisions that slow development and execution. Revolutionize emergency response with real-time transcription, keyword and keyphrase identification, and integrated connectivity to external systems. Connect the physical and digital worlds and optimize maintenance operations by monitoring sensors, generating a triage plan for operator review upon an alert, and creating service tickets in your work order platform. Apply past experience in new ways to current problems by generating responses to incoming security assessments based on company-specific data across various platforms.

The single development environment for the entire data science workflow. Natively analyze your data with a reduction in context switching between services. Data to training at scale. Build and train models 5X faster, compared to traditional notebooks. Scale-up model development with simple connectivity to Vertex AI services. Simplified access to data and in-notebook access to machine learning with BigQuery, Dataproc, Spark, and Vertex AI integration. Take advantage of the power of infinite computing with Vertex AI training for experimentation and prototyping, to go from data to training at scale. Using Vertex AI Workbench you can implement your training, and deployment workflows on Vertex AI from one place. A Jupyter-based fully managed, scalable, enterprise-ready compute infrastructure with security controls and user management capabilities. Explore data and train ML models with easy connections to Google Cloud's big data solutions.

NVIDIA GPU Cloud (NGC) is a GPU-accelerated cloud platform optimized for deep learning and scientific computing. NGC manages a catalog of fully integrated and optimized deep learning framework containers that take full advantage of NVIDIA GPUs in both single GPU and multi-GPU configurations. NVIDIA train, adapt, and optimize (TAO) is an AI-model-adaptation platform that simplifies and accelerates the creation of enterprise AI applications and services. By fine-tuning pre-trained models with custom data through a UI-based, guided workflow, enterprises can produce highly accurate models in hours rather than months, eliminating the need for large training runs and deep AI expertise. Looking to get started with containers and models on NGC? This is the place to start. Private Registries from NGC allow you to secure, manage, and deploy your own assets to accelerate your journey to AI.

DSVMs are Azure Virtual Machine images, pre-installed, configured and tested with several popular tools that are commonly used for data analytics, machine learning and AI training. Consistent setup across team, promote sharing and collaboration, Azure scale and management, Near-Zero Setup, full cloud-based desktop for data science. Quick, Low friction startup for one to many classroom scenarios and online courses. Ability to run analytics on all Azure hardware configurations with vertical and horizontal scaling. Pay only for what you use, when you use it. Readily available GPU clusters with Deep Learning tools already pre-configured. Examples, templates and sample notebooks built or tested by Microsoft are provided on the VMs to enable easy onboarding to the various tools and capabilities such as Neural Networks (PYTorch, Tensorflow, etc.), Data Wrangling, R, Python, Julia, and SQL Server.

The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates the data science pipeline and streamlines development and deployment of production AI including generative AI, computer vision, speech AI and more. With over 50 frameworks, pretrained models and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI, while also simplifying AI to make it accessible to every enterprise. The adoption of artificial intelligence and machine learning has gone mainstream, and is core to nearly every company’s competitive strategy. One of the toughest challenges for enterprises is the struggle with siloed infrastructure across the cloud and on-premises data centers. AI requires their environments to be managed as a common platform, instead of islands of compute.

Virtualization Software for AI Infrastructure. Gain visibility and control over AI workloads to increase GPU utilization. Run:AI has built the world’s first virtualization layer for deep learning training models. By abstracting workloads from underlying infrastructure, Run:AI creates a shared pool of resources that can be dynamically provisioned, enabling full utilization of expensive GPU resources. Gain control over the allocation of expensive GPU resources. Run:AI’s scheduling mechanism enables IT to control, prioritize and align data science computing needs with business goals. Using Run:AI’s advanced monitoring tools, queueing mechanisms, and automatic preemption of jobs based on priorities, IT gains full control over GPU utilization. By creating a flexible ‘virtual pool’ of compute resources, IT leaders can visualize their full infrastructure capacity and utilization across sites, whether on premises or in the cloud.

A fully-managed platform for Ray, from the creators of Ray. The best way to develop, scale, and deploy AI apps on Ray. Accelerate development and deployment for any AI application, at any scale. Everything you love about Ray, minus the DevOps load. Let us run Ray for you, hosted on cloud infrastructure fully managed by us so that you can focus on what you do best, and ship great products. Anyscale automatically scales your infrastructure and clusters up or down to meet the dynamic demands of your workloads. Whether it’s executing a production workflow on a schedule (for eg. retraining and updating a model with fresh data every week) or running a highly scalable and low-latency production service (for eg. serving a machine learning model), Anyscale makes it easy to create, deploy, and monitor machine learning workflows in production. Anyscale will automatically create a cluster, run the job on it, and monitor the job until it succeeds.

With Mystic you can deploy ML in your own Azure/AWS/GCP account or deploy in our shared GPU cluster. All Mystic features are directly in your own cloud. In a few simple steps, you get the most cost-effective and scalable way of running ML inference. Our shared cluster of GPUs is used by 100s of users simultaneously. Low cost but performance will vary depending on real-time GPU availability. Good AI products need good models and infrastructure; we solve the infrastructure part. A fully managed Kubernetes platform that runs in your own cloud. Open-source Python library and API to simplify your entire AI workflow. You get a high-performance platform to serve your AI models. Mystic will automatically scale up and down GPUs depending on the number of API calls your models receive. You can easily view, edit, and monitor your infrastructure from your Mystic dashboard, CLI, and APIs.

Amazon SageMaker Model Training reduces the time and cost to train and tune machine learning (ML) models at scale without the need to manage infrastructure. You can take advantage of the highest-performing ML compute infrastructure currently available, and SageMaker can automatically scale infrastructure up or down, from one to thousands of GPUs. Since you pay only for what you use, you can manage your training costs more effectively. To train deep learning models faster, SageMaker distributed training libraries can automatically split large models and training datasets across AWS GPU instances, or you can use third-party libraries, such as DeepSpeed, Horovod, or Megatron. Efficiently manage system resources with a wide choice of GPUs and CPUs including P4d.24xl instances, which are the fastest training instances currently available in the cloud. Specify the location of data, indicate the type of SageMaker instances, and get started with a single click.

It supports high-performance training on AWS Trainium-based Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances. For model deployment, it supports high-performance and low-latency inference on AWS Inferentia-based Amazon EC2 Inf1 instances and AWS Inferentia2-based Amazon EC2 Inf2 instances. With Neuron, you can use popular frameworks, such as TensorFlow and PyTorch, and optimally train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal code changes and without tie-in to vendor-specific solutions. AWS Neuron SDK, which supports Inferentia and Trainium accelerators, is natively integrated with PyTorch and TensorFlow. This integration ensures that you can continue using your existing workflows in these popular frameworks and get started with only a few lines of code changes. For distributed model training, the Neuron SDK supports libraries, such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP).

ZIF for IT Operations. Shift from Reactive to Proactive IT Operations and Enable Frictionless IT.Features Single Pane of Command. Aggregates data from different monitoring tools and devices with 100+ plugins. Actionable insights on events. Reduces noise in the infrastructure through insightful event correlation and reduced false alarms. Identify Root Cause. Detects issues in the infrastructure faster with infrastructure and application heat maps. Predictive Analytics. Forecasts issues before they cause impacts using supervised and unsupervised machine learning algorithms. Notification & Reporting. Logs incident in the ITSM tool and notifies the right people through the Virtual Supervisor. Automate Tasks. Triggers and automates repeat tasks and complex workflows. Benefits. 360o visibility of enterprise. Operational efficiency through noise nullification, driving faster Mean-Time-To-Repair. Proactive identification of risks based on patterns with no dependency on a CMDB

Improve app performance and deliver flawless user experiences with unmatched insight and intelligence. With the increased complexity of today’s modern applications and the growing need to deliver a near-flawless customer experience - traditional Application Performance Management (APM) solutions often fall short in delivering the visibility needed to fix problems before they impact the end user. Instead, APM solutions must evolve to include AIOps capabilities to spot anomalies earlier, predict behavior, and enable informed automatic corrective actions. DX Application Performance Management (formerly CA Application Performance Management or CA APM) is fully integrated with our AIOps solution to correlate and analyze data across users, applications, infrastructure and network services, giving you real-time insight into the health of key business services. DX APM uses advanced algorithms and machine learning techniques to automatically identify the probable cause of an issue.

Exigence is providing a command and control center software to manage major incidents. Exigence automates the collaboration among stakeholders within and outside of the organization and structures it around a timeline that records the steps taken to resolve an incident and drives workflows across stakeholders and tools, thus ensuring all stakeholders are working off the same page. The product ties together stakeholders, processes and tools already in use, driving down time to resolution. Customers who have purchased and are using Exigence , have seen a more transparent process, faster onboarding of relevant stakeholders, and a reduced time for the resolution of critical incidents in general. They are using Exigence to address critical incidents, but also for cyber events as well as planned incidents like business continuity testing and software release.

Best in class online service desk software. Offer your customers world-class services with ServiceDesk Plus Cloud, the easy-to-use SaaS service desk software from ManageEngine, the IT management division of Zoho. Track and manage IT tickets efficiently, resolve issues faster, and ensure end-user satisfaction with the cloud-based IT ticketing system used by over 100,000 IT service desks worldwide. Manage the complete life cycle of IT incidents, problems, changes, and projects with out of the box ITIL workflows. Create support SLAs, define escalation levels, and ensure compliance. Automate ticket dispatch, categorization, classification, and assignment based on predefined business rules, and set up notifications and alerts for timely ticket resolution. Reduce walk ins and unnecessary tickets by giving your users more control. Enable end users to access IT services through your service catalog in the self-service portal. Help users create and track tickets and search for solutions.