Redwood City, CA, USA
Aug 4, 2022   |  By Anodot
In today’s payments ecosystem, the ability to monitor and use payment data effectively represents a real and essential competitive advantage. Intelligent operations should be a strategic goal for the entire company, and when executed properly, will enable you to build a future-proof payment operations infrastructure.
Jul 27, 2022   |  By Anodot
As businesses shift to a digital-first environment, cloud computing will play a dominant role in delivering greater flexibility and faster innovation. In a recent report by Deloitte, nearly 90% of US-based senior decision makers proclaim cloud to be the cornerstone of their digital strategy. Covid accelerated cloud migration initiatives, with no signs of slowing down. Gartner forecasts worldwide end-user spend on public cloud services will grow by 20.4% in 2022 to a total of $494.7 billion.
Jul 19, 2022   |  By Anodot
We are excited to share that Anodot’s Cloud Cost Management solution has been named a Challenger and Fast Mover in the 2022 GigaOm Radar for Evaluating Financial Operations (FinOps) Tools report.
Jul 14, 2022   |  By David Drai
Cloud spend is a significant line item in every company’s IT budget, and controlling it is especially important in today’s challenging economic climate. A steep decline in share prices, valuations, and a slowdown in venture capital funding have led CEOs to cut costs within their large line items, reduce their workforce, and reevaluate their unit economics — especially their margin per customer. The question is, how many organizations know their margin per customer?
Jul 6, 2022   |  By Anodot
We are excited to share that Anodot’s Cloud Cost Management solution has been named a Challenger and Fast Mover in the 2022 GigaOm Radar for Evaluating Financial Operations (FinOps) Tools report.
Jun 21, 2022   |  By Anodot
More enterprises are adopting cloud computing to ensure that they can accelerate innovation, stay competitive, and enjoy cost savings. This trend has only increased in the last two years with the rise of remote work necessitated by the COVID-19 pandemic. With the rise of cloud adoption, multi-cloud and hybrid cloud deployments are increasing in popularity as well. According to a Gartner survey, 81% of survey respondents are using two or more cloud providers.
Jun 15, 2022   |  By Anodot
As a member of the FinOps organization, Anodot is excited to sponsor the upcoming FinOps X event in Austin, TX. Anodot’s mission has always been to help organizations solve one of the most recognized challenges associated with public cloud adoption — cost control and optimization. Every feature of our Anodot cloud cost management platform has been built by taking a core FinOps market concern and working backward to deliver a capability that fills that need.
Jun 15, 2022   |  By Anodot
Most companies today have a “cloud first” computing strategy. According to Foundry’s April 2022 report outlining their 2022 Cloud Computing research, 92% of businesses globally have moved to the cloud. What’s more, the percentage of companies with most or all of their IT infrastructure in the cloud is expected to leap from 41% today to 63% in the next 18 months. As companies move more workloads onto various cloud platforms, cloud budgets continue to increase.
Jun 3, 2022   |  By Anodot
96% of companies now use or are in the process of evaluating Kubernetes. As the maturity and complexity of Kubernetes environments grow, costs quickly spiral out of control when an effective strategy for visibility and optimization is not in place.
Jun 1, 2022   |  By Anodot
Optimizing Kubernetes costs isn’t an easy task. Kubernetes is as deep a topic as cloud (and even more complex), containing subtopics like: That’s a lot for a busy DevOps team to understand and manage, and doesn’t even consider that line-of-business stakeholders and finance team members should have some understanding of each cost driver’s function and importance to contribute to a successful FinOps Strategy.
Jul 27, 2022   |  By Anodot
Anodot's cloud cost management solution enables you to visualize costs in a single screen — across AWS, Azure, GCP and Kubernetes. Anodot leverages proprietary ML-based algorithms to offer root-cause analysis and recommended remediation. With continuous monitoring and deep visibility, you gain the power to align FinOps, DevOps, and Finance teams and cut your cloud bill.
Jul 12, 2022   |  By Anodot
Anodot and eCommerce customer Puma presented at Europe's largest merchant payments conference. The presentation focused on how Anodot's AI-powered business monitoring platform helps Puma detect payment and checkout issues in real-time before incidents negatively impact revenue and customer experience.
Jul 7, 2022   |  By Anodot
In this webinar, led by Jeff Haines and Greg O'Hare, you will learn how to manage your multi cloud and Kubernetes costs using Anodot's Cloud Cost Management platform.
Jun 22, 2022   |  By Anodot
Visualize your cloud costs in a single screen — across AWS, Azure, Google Cloud, and your K8s containers. Cloud cost management dashboards enable you to deliver appropriate visibility to Finance, DevOps, Engineering, and other stakeholders in your organization.
Jun 22, 2022   |  By Anodot
Reduce wasted spend in your multicloud infrastructure with easy-to-implement recommendations. See the projected impact of each recommendation, alongside CLI commands and AWS console instructions that enable your DevOps and Engineering teams to make changes that save your team money.
Jun 13, 2022   |  By Anodot
Report on costs across your multicloud infrastructure by service, cloud provider, payer account, linked account, line of business (LOB) and more.
Jun 13, 2022   |  By Anodot
See how you can drill into your K8s costs by cluster, node, and pod to isolate Kubernetes pods that have been overprovisioned with memory or CPU and rightsize their resources.
Apr 12, 2022   |  By Anodot
Leaders in the Fintech industry use Anodot to detect and resolve operational incidents before they impact the customer experiences. Anodot’s powerful and easy-to-use anomaly detection and triage technologies help fintechs stay on top of their operations, deliver flawless customer experience, and optimize approval rates and fees.
Mar 9, 2022   |  By Anodot
As telcos make key strategic pivots this year in the areas of fixed broadband, 5G, and virtualization/ cloudification of the network, a common unifying initiative is the automation of the network. There are many competing definitions and visions of how we can understand this, but the fundamental, immutable fact is that automation depends on good quality real-time data. Stable, reliable, and cost-effective data pipelines are now an absolute prerequisite for real-time automation tasks like anomaly detection, forecasting, recommendation, remediation, etc.
May 24, 2019   |  By Anodot
This introduction to next-generation analytics includes a step-by-step comparison between legacy BI and Autonomous Analytics, from data integration to anomaly detection and forecasting.
Mar 1, 2019   |  By Anodot
Learn now anomaly detection can remedy urgent problems faster and capture opportunities sooner.
Mar 1, 2019   |  By Anodot
Learn how different industries are using Machine Learning Powered Analytics.
Feb 1, 2019   |  By Anodot
Immediately address data quality problems and save weeks of dealing with inaccurately reported data.
Feb 1, 2019   |  By Anodot
Learn how leading adtechs like Rubicon Project, Uprise, and NetSeer are leveraging the power of machine learning - discovering outliers in time series data and turning them into valuable business insights.
Jan 1, 2019   |  By Anodot
This white paper presents unique insights into the costs, benefits, and complexities associated with anomaly detection systems, including whether it makes more sense for your company to build or to buy, and which will give the best and fastest return on investment.
Dec 1, 2018   |  By Anodot
An introduction to design principles of creating a machine learning based anomaly detection system.

Anodot applies AI to deliver autonomous analytics in real-time, across all data types, at enterprise scale. Unlike the manual limitations of traditional Business Intelligence, we provide analysts mastery over their business with a self-service AI platform that runs continuously to eliminate blind spots, alert incidents, and investigate root causes.

Autonomous Analytics uses machine learning to understand behavioral patterns within time series data, to identify anomalies and to continuously forecast future values. Our alerts operate in real time and offer you context - correlating each incident to similar anomalies, relevant factors and the potential root cause. Detect and diagnose high-impact problems faster than is humanly possible.

Why Autonomous Analytics?

  • Track Every Business Parameter: Anodot uses its patented technology to learn the normal behavior of all your business metrics and constantly monitor their every move. All without configuring a thing.
  • See The Anomalies That Matter: Not all anomalies are created equal. Anodot scores every business abnormality by degree of deviation so you can prioritize and act based on what’s most important to you.
  • Models Automatically Trained For Accuracy: Our solution uses deep learning to automatically optimize forecasts. It selects a model that’s uniquely suited to your metrics from a library of predictive analytics algorithms. Data feedback is used to train your model for the highest possible accuracy.
  • Continuous Forecasting For Operational Agility: Autonomous Forecast is always running. It works on data streams in real time to provide forecasts in the moment. With these capabilities, businesses can anticipate changing conditions and optimize their operations in advance, to improve customer satisfaction and seize opportunities.

The only alerts you need. Just when you need them.