Originally published in Business Wire on Sept. 23, 2021 ASHBURN, Va. – Anodot, the autonomous business monitoring company, today announced the results of an independent survey that reveals that Communication Service Providers (CSPs) are making artificial intelligence (AI) deployments an immediate priority to improve service experience for customers and reduce operational costs. >> Read the Report << Sixty seven percent of survey respondents have already deployed AI in their networks and more than 50% of those who have not deployed AI plan to do so within the next 6-24 months. Furthermore, 53% of respondents stated that improving service experience was the primary driver for implementing AI-based network monitoring and detection. These findings are based on an independent Heavy Reading global survey of nearly 100 senior networking and IT CSP decision makers commissioned by Anodot in Q3 2021. “Instead of waiting for next generation 5G network deployments to invest in AI, the majority of CSPs are already deploying AI on 4G networks now, the infrastructure most of their customers still use,” said Anodot Co-founder and CEO David Drai. “With AI-based network monitoring, CSPs can detect network issues up to 80% faster and reduce incident costs by as much as 70%.” At the same time, CSPs want to better use AI to monitor their networks as a whole and measure the quality of service they provide – rather than just monitoring network-related KPIs and minimizing network downtime, according to survey findings. In fact, 46% of survey respondents stated that network performance troubleshooting, early warnings and visibility into service degradations are critical to improving customer experience and reducing customer churn. However, most CSPs lack the specific tools that integrate with AI, existing data, and tools to perform more effective, holistic network monitoring. According to the survey, 42% of respondents cite integration with existing tools as the biggest barrier to deploying AI-based network monitoring and anomaly detection in networks. Service providers are looking for solutions that deliver a short time to value with easy integration and open APIs. They are also seeking solutions that are easy for teams to use and support without requiring significant investment in data science talent and professional services. The survey also found that more than half of respondents found that the cost of hours spent by their operations teams on monitoring service degradation is just as high as the cost of repairing the issues, which includes hardware fixes, third-party services, and truck roles. Therefore, CSPs seek to reduce the time their operations teams spend on detecting, analyzing, and understanding the root cause of network issues, with 49% of survey respondents stating that predictive impairment detection would deliver the largest cost savings for their organizations. “Anodot’s zero-touch network monitoring platform seamlessly integrates with AI and existing data while automating cross-layer network performance and service experience to free-up CSP operations teams,” said Drai. “We collect all data types, at any scale, and use AI/ML to correlate anomalies across the entire telco stack. Our platform is the ‘brain’ on top of the OSS that detects service-impacting incidents in real time, enabling the world’s largest telcos to protect their revenue and improve service experience—reducing the number of alerts by 90% and reducing time to resolve incidents by 30%,” he said. To access the full survey report: The Business Value of AI In Zero-Touch Network Monitoring About Anodot Anodot's Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time anomaly alerts and forecasts in their context. Fortune 500 companies, from digital business to telecom, trust Anodot's patented technology to reduce time to detection and resolution for revenue-critical issues by as much as 80 percent. Anodot is headquartered in Silicon Valley and Israel, with sales offices worldwide. To learn more, visit www.anodot.com and follow them on LinkedIn and Twitter.

Originally published in Business Wire on Aug. 4, 2021 ASHBURN, Va. – Today, Anodot, the autonomous business monitoring company, announced that it has been selected by Qwilt, a leading provider of edge cloud and media delivery solutions, to help deliver better streaming experiences to its customers. With support from Anodot’s real-time, autonomous monitoring platform, Qwilt will be able to maintain the highest quality of service and reliability, two critical components when ensuring the success of any platform. Online media consumption is at an all-time high. This trend has been further augmented by the stay-at-home orders of the COVID-19 pandemic. According to Forrester, “...48% of U.S. online adults had subscribed to at least one streaming service,” and this behavior is here to stay. “Intense online media consumption is resetting consumer expectations and reshaping the content consumption experience.” Qwilt’s edge cloud and media delivery solution plays a pivotal role in this new digital reality by addressing scale, quality, and cost-related content delivery challenges at the edge. “Our next-generation content delivery solution, deeply embedded in last-mile service provider networks, is cloud-managed with open APIs for our content provider customers. Moreover, our solution is being embraced broadly and, when combined with increasing demand for more content and delivery capacity, we need to scale at a rapid pace,” said Alon Maor, CEO of Qwilt. “Anodot gives us constant insight into critical performance and quality of service issues, allowing us to deliver the highest quality of service to our customers.” Anodot is an AI-based platform that monitors and correlates business data across the entire business to identify incidents that threaten revenue, customer experience, and the partner ecosystem. Patented algorithms overcome the challenge of manual business monitoring by learning each KPI’s patterns and seasonality in order to detect anomalies in real time and with greater accuracy. Companies that use Anodot are able to, year over year, reduce mean time to detection up to 80% and cut incident costs up to 70%. Anodot customers in the streaming industry are able to build and maintain a competitive edge. Qwilt leverages Anodot’s fully autonomous platform to analyze vast volumes of generated network data to identify anomalies in critical issues such as buffering, load times, product usage, customer support, feature adoption, and content delivery. When there’s a degradation in customer experience, an alert is sent in real time to operations teams that shows contributing factors, such as related anomalies, influencing metrics and events, to guide them to the root cause. Anodot is driving faster incident detection and resolution for Qwilt and superior customer experience for its customers. “In today’s increasingly digital world, consumers are requesting high-quality online content at rapid speed,” said David Drai, CEO, Anodot. “Qwilt is transforming online content delivery and streaming services for its customers with better delivery capacity, higher quality, and lower prices. Qwilt can maintain a best-in-class competitive edge by analyzing data collected in real-time through Anodot’s AI-powered autonomous monitoring platform, eliminating things like poor video quality, declining subscription rates, and lost revenue.” About Anodot Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time anomaly alerts and forecasts in their context. Fortune 500 companies, from digital business to telecom, trust Anodot’s patented technology to reduce time to detection and resolution for revenue-critical issues. Anodot is headquartered in the United States and Israel, with sales offices worldwide. To learn more, visit www.anodot.com and follow them on LinkedIn, Facebook, and Twitter. About Qwilt Qwilt’s unique Edge Cloud Platform and Open Caching software and cloud solutions help Internet Service Providers address the dramatic growth of streaming media on their networks and the need for low latency, high scale infrastructure to support future applications. Qwilt’s cloud managed open platform, running on commodity compute and storage infrastructure, and deployed close to consumers, creates a massively distributed Edge Cloud that supports applications such as Open Caching, 4K Live Streaming, AR, VR, Self-Driving Cars and IoT. This low latency Edge Cloud architecture enables a high-quality streaming experience for consumers on a massive scale. A growing number of the world’s leading cable, telco and mobile service providers rely on Qwilt for Edge Cloud applications. Qwilt is a Founding Member of the Streaming Video Alliance and a leader of the Open Caching industry movement. Founded in 2010 by industry veterans from Cisco and Juniper, Qwilt is backed by Accel Partners, Bessemer Venture Partners, Cisco Ventures, Disrupt-ive, Innovation Endeavors, Marker, and Redpoint Ventures. Learn more at Qwilt. Follow us on Twitter @Qwilt.

The algorithm correlates cross-siloed revenue-impacting anomalies across the enterprise, speeding time to detection and remediation by 30% Originally published in Business Wire on July 8, 2021 ASHBURN, Va. – Anodot, the autonomous business monitoring company, announced that it had been granted the US patent US10891558B2 for its Heuristic Inference of Topological Representation of Metric Relationships. The patent covers Anodot’s first-of-its-kind machine learning (ML) based correlation analysis that allows enterprises to automatically discover non-obvious cross-siloed anomalies that can impact revenues. Correlation analysis identifies relationships between key performance indicators, which business teams can quickly use to determine the root cause revenue and service impacting events. Without Anodot, companies would have to use time-consuming manual techniques to determine the revenue disruption's underlying cause. By combining anomaly detection with automated cross-siloed correlation analysis, Anodot helps enterprises detect and fix revenue-impacting incidents 80% faster than any other method. “Historically, events that have produced lost revenue or service drops were difficult to detect because the correlating events could be in different places within the enterprise requiring different domain expertise. For example, the team in charge of revenue could notice a drop in sales for a particular selection of items but wouldn't know that the cause of the problem was the slow page load times for items with overly large image sizes,” said Anodot Chief Data Scientist Dr. Ira Cohen. “Using Anodot’s correlation analysis, the revenue team, which mostly likely does not have in-depth knowledge of web page design, would immediately be alerted to the problem, determine its cause, be pointed to a solution, and minimize revenue loss.” The power of the Anodot platform is its ability to accurately detect and correlate anomalies at scale without the need for any human input. Anodot invented an algorithm called abnormal correlation that groups metrics across silos if they behave abnormally at similar times. The theory is that if two metrics are affected by a common cause, companies should see that pattern repeat itself over time. Anodot uses locality-sensitive hashing (LSH) to scale its correlation techniques to sift through billions of metrics. The combination of abnormal correlation and LSH provide Anodot customers with the fastest time to remediation for events that can impact service and revenue. “Anodot goes beyond mere alerts,” said Viacheslav Tsyganov, Chief Information Officer, Vice President, Deputy Chairman of the Management Board at Tinkoff. “Anodot’s correlation analysis not only accurately alerts us when there is a disruption in service, it also shows us why the problem is happening. Because the root cause analysis helps us understand the relationships between anomalies across teams and departments, we fix problems faster and suffer fewer revenue losses.” To learn more about Anodot’s Correlation Analysis, please visit: https://www.youtube.com/watch?v=J4IKGeRw6wY About Anodot Anodot's Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time anomaly alerts and forecasts in their context. Fortune 500 companies, from digital business to telecom, trust Anodot's patented technology to reduce time to detection and resolution for revenue-critical issues by as much as 80 percent. Anodot is headquartered in Silicon Valley and Israel, with sales offices worldwide. To learn more, visit www.anodot.com and follow them on LinkedIn, Facebook, and Twitter.

June 9, 2021 - Datanami.com If your CFO is in a state of shock over a recent AWS bill, she is not alone. According to a recent survey by Anodot, 30% of data and analytics professionals reported nearly a 50% increase in their monthly cloud bills over a six-month period last year, and one out of five saw their cloud bills double. Better monitoring and alerting to sudden spikes, Anodot says, is a potential solution. At a macro level, COVID-19 and the work-from-home mandate clearly were big drivers in cloud adoption in 2020. Gartner says cloud spending in 2021 is set to rise 18% from last year, hitting nearly $305 billion. As a percentage of total IT spending, cloud is set to grab a 14% share, up from 9% last year. While the big-picture migration of data and applications to the cloud is becoming crystal clear, that storyline doesn’t reflect the difficult circumstances that many individual organizations are facing as they adopt new cloud services and move existing IT processes into public cloud. Getting a better handle on the challenges the cloud poses to these companies is what drove Anodot in March to survey nearly 110 data and analytics professionals about their organizations’ cloud spending patterns. The results, which Anodot shared exclusively with Datanami before they were set to be released today, show that a large number of organizations are facing rapidly growing cloud costs, including large and sudden spikes, and that they’re struggling to get a handle on this. About 55% of respondents to Anodot’s survey say they have been “surprised” by cloud costs or had an incident where cloud costs suddenly spiked. About two-thirds said cloud costs were a consideration in day-to-day business activities, while slightly more than 50% said they were able to remediate cloud usage and cost issues in real time. When spikes in cloud usage occur, only about 20% said they were able to immediately detect them, while about 25% said they could detect them in a few hours. About 35% said it takes them “a few days” to detect the cloud usage spikes, while another 20% said it took them a few weeks. Less than 10% indicated it took them months to detect the spikes.   Source: Anodot cloud survey “2020 was a really rough year with cloud costs skyrocketing, and it’s just going to continue,” an Anodot spokesperson said. “Sometimes, the costs are due to mistakes and glitches. Sometimes they’re just using a lot of cloud applications. They’re working from home, and they need access to corporate data.” The migration to the cloud is in full swing, but many organizations are struggling with the move. According to Anodot’s survey, only 10% of survey respondents reported having a “extremely smooth transition” to the cloud, about 25% had a “relatively smooth transition,” whereas 30% said they had a “challenging transition.” Around 40% said “it went OK.” Anodot develops a machine learning environment that is geared toward monitoring business metrics. The offering, which specializes in automatically detecting anomalies in time-series data, has been used extensively in the telecommunications and financial services industries. With the recent spike in cloud costs, the company is pivoting its focus a bit to address that unanticipated concern. Misconfigured in the Cloud Count Kenshoo, an Israel-based provider of campaign management software and services, among the companies struggling to get a handle on cloud costs. According to Danny Zalkind, Kenshoo’s DevOps group manager, the company is very concerned about losing control of its costs as it migrates more applications to AWS. “Once you go to the cloud, it’s very easy to lose track,” Zalkind told Datanami. “Some of it is slow leaks and some of it could be human mistakes, misconfiguration. You could easily, in a couple of days or a week, pay large amounts of money for a simple misconfiguration.” Kenshoo recently had an incident where one of its employees selected the wrong EC2 instance, and it cost the company nearly $40,000 over the course of a couple of days, Zalkind said. At other times, internal users have left cloud-based GPUs spinning after work on them has stopped. “We use GPU-based instances for all kinds of machine learning and data labeling processes, so that can be very costly if you start using those expensive GPU instances and you don’t turn it off on time or once you finish,” Zalkind added. “We’ve had some experience with that.” AWS shows steady revenue growth (Source: Statista) The SaaS company runs its data analytics and data science workloads in the cloud, but it’s planning to migrate other parts of its core campaign management application, including the Web serving and database configuration management components, to AWS too. That has caused Zalkind and his colleagues in DevOps to focus more attention on addressing the cloud spikes and the unanticipated costs that are associated with them. Before the cloud bill started to grow, the company was spending around $150,000 to $200,000 per month on the cloud, Zalkind said. But several times in recent months, that bill has risen to $500,000, which Zalkind attributes to a mix of cloud instance misconfigurations as well as natural customer-driven growth. Overall, Kenshoo’s cloud bill is growing around 10% to 15% per month. That figure reflects the unanticipated spikes as well as natural growth in its business; there was also an acquisition, according to Zalkind, who indicated the monthly cloud spending should be about $300,000. “We’re constantly monitoring usage because it can very easily just go week by week, and just increase slowly,” Zalkind said. “It’s very easy to not notice and lose track, and one day you look at the bill at the end of the month and you ask yourself, how did that happen?” Kenshoo recently started using Anodot’s machine learning tool to monitor its cloud usage. For Kenshoo, it’s relying on Anodot’s capabilities with anomaly detection in time-series data to be able to remove the natural seasonality from its cloud workloads and detect when something has actually gone awry. “Before we were actively managing or monitoring and reacting to alerts, we used to grow up to 15% per month in certain services or total cost,” Zalkind said. “Now it’s very rare to see a misconfiguration that lasts more than a day. And we’re also now pretty stable on the cost. We’re proud of that.” An AI-approach to monitoring and alerting for cloud costs is superior to static, BI-based methods because AI-based methods are more adaptable, according to Anodot. For Kenshoo, the static approach didn’t work, either. “The main thing is, more accuracy,” Zalkind said. “The static threshold method creates a lot of false positives. There’s really no other way to monitor those types of seasonal datatypes without looking at seasonality and without breaking it down to multiple dimensions. Pretty much at a certain size, it’s not possible without that.” To get a copy of Anodot’s survey, go to www.anodot.com/blog/cloud-cost-survey.

Powered by autonomous learning capabilities, new enhancements prioritize alerts based on impact on the business and customer experience May 28, 2021 09:00 AM Eastern Daylight Time ASHBURN, Va.--(BUSINESS WIRE)--Anodot, the autonomous business monitoring company, continues to enhance its product by providing high-performing companies with two new tools to measure the impact of anomalies on business operations and flag relevant alerts during reoccurring but shifting events. The Business Impact Alert functionality provides a visual indication that gives companies insight into how much an anomaly is impacting a company’s bottom line. The Influencing Events functionality helps companies define recurring seasonal events that shift on the calendar, like spring and summer holidays. Anodot can contextualize historical data around the events and accurately identify anomalies that happen during those time periods. Businesses are flooded with constantly changing thresholds brought on by seasonality, changing habits due to the pandemic, and promotions that feature new product rollouts. With information siloed and scattered across the enterprise, manual monitoring fails. Anodot’s Business Impact Alerts and Influencing Events use advanced artificial intelligence and machine learning that can autonomously adapt to changes, creating real-time, actionable alerts on business incidents and the fastest mean time to resolution (MTTR) in the industry. Business Impact Alert Functionality This new feature allows enterprises to prioritize alerts based on the incidents’ impact to the business. When setting up an alert, companies can assign a monetary value for each metric they monitor, and future alerts will show how much the anomaly has cost. This allows the business owner to quickly calculate the cost of an incident and prioritize when to address it. Minor incidents can be tackled when the team has free time, whereas major incidents are immediately assigned for remediation. The prioritization based on business value enables enterprises to focus on what truly matters. Influencing Events Functionality Recurring events such as Black Friday or religious holidays like Christmas, Passover, or Ramadan affect the business in predictable ways, but the dates are not the same from year to year. When businesses don't have the opportunity to put these events in historical context, their business monitoring tools create false positive alerts, wasting resources and disappointing customers. Anodot learns the behavior of the metrics around the previous occurrences of the event and updates the baseline for the upcoming event, taking into consideration the previous influences based around that event. The algorithm will recognize which behaviors repeat themselves. Once that has been accomplished, businesses will only see alerts for anomalies that are not associated with the seasonal event. “Businesses need monitoring tools that can quickly identify issues that impact the customer experience and protect revenue,” said Ira Cohen, co-founder and chief data scientist, Anodot. “Our Business Impact Alerts and Influencing Events feature only alerts customers on issues that directly affect the business, preserving resources that would otherwise be wasted investigating issues that do not require remediation. These tools can be maintained and understood by the business owners, which allows them to create metrics that are specifically relevant to the business, eliminating a flood of unnecessary alerts.” “We’re interested in using Anodot’s Business Impact Alerts to automate a complicated process we used to manage in-house, which would free up significant resources for us,” said Christina Velzo, director of business intelligence at Ask Media Group. “With Anodot’s platform we can analyze high volumes of traffic across multiple metrics, spot anomalies and take action right away, reducing any potential downtime or business risk.” More information on Influencing Events and Business Impact Alerts is available online. About Anodot Anodot's Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time anomaly alerts and forecasts in their context. Fortune 500 companies, from digital business to telecom, trust Anodot's patented technology to reduce time to detection and resolution for revenue-critical issues by as much as 80 percent. Anodot is headquartered in Silicon Valley and Israel, with sales offices worldwide. To learn more, visit www.anodot.com and follow them on LinkedIn, Facebook, and Twitter.

Leader in digital payments Payoneer Calls This Integration a ‘Game-Changer’ April 05, 2021 09:00 AM Eastern Daylight Time REDWOOD CITY, Calif.–(BUSINESS WIRE)–Anodot, the autonomous business monitoring company, and Coralogix, a leading observability platform, have partnered to provide an integrated solution that monitors business operations and applications faster and more accurately than ever before. The integration between Anodot’s business monitoring and Coralogix’s data platform enables customers to dramatically improve how they leverage data to find and remediate issues they would have otherwise missed while solving log maintenance autonomously. One of those customers is Payoneer, Inc., the global payment and commerce-enabling platform which powers growth for millions of small businesses, marketplaces and enterprises, including Amazon, Google and Walmart – for nearly 200 countries and territories. Payoneer delivers a suite of services that include cross-border payments, working capital, tax solutions, risk management and payment orchestration for merchants. With more than five million customers worldwide, Payoneer monitors millions of business and technical metrics to keep their payment gateway running smoothly. Previously, they used traditional monitoring and log analysis solutions that took at least 24 hours to resolve and resulted in high false positive rates. To hasten the digital payment process and improve customer experience, Payoneer integrated Anodot and Coralogix. “This integrated solution is a game-changer for us,” said Yuval Molnar, senior director of production services, Payoneer, Inc. “We have over 1,000 services and must understand their behavior to protect our clients. In doing so, we monitor all logs and autonomously detect errors and false positives. Anodot provides a zoom into the exact Coralogix logs that show the root cause. This has improved our time to resolution by 90% which is a true game changer.” About Anodot Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time anomaly alerts and forecasts in their context. Fortune 500 companies, from digital business to telecom, trust Anodot’s patented technology to reduce time to detection and resolution for revenue-critical issues by as much as 80 percent. Anodot is headquartered in Silicon Valley and Israel, with sales offices worldwide. To learn more, visit www.anodot.com and follow them on LinkedIn, Facebook, and Twitter. About Coralogix Coralogix is the modern observability platform for log analytics, metrics, and security. By providing immediate, ML-powered insights and analyzing data by use case, Coralogix enables full observability without any coverage, storage, or cost limitations. Thousands of global-leading companies including Masterclass, Monday.com, BookMyShow, Postman, and PayU use Coralogix to power their businesses. For more information, please visit https://coralogix.com/.

Published on: 02 Feb 2021, 5:30 am - Analytics Insight ANALYTICS INSIGHT HAS LISTED THE TOP 10 MACHINE LEARNING COMPANIES OF 2021 The massive inflow of data in recent years, the growth of powerful processing and affordable data storage has given wheels to machine learning. Machine learning is an advanced technology that helps machines to learn from data. The performance of the solution solely depends on the data it is fed with. Earlier, the data flow was comparatively less. Henceforth, it took many years for machine learning technology to mature and come out rock headed in the market. The global machine learning market is expected to grow from US$1.41 billion in 2017 to US$8.81 billion by 2022 at a CAGR of 44.1% during the forecast period. Risk management, performance analysis and reporting, trading, and automation are some of the many use cases of machine learning. The technology is of great use in the business sector. With the help of machine learning, companies can predict user behaviour, which eventually leads to acquiring new customers, optimizing products and pricing, and increasing customer engagement. Finding a machine learning company that leverages all the features is quite difficult. If you are seeking for such a solution, your hunt is over here. Analytics Insight has compiled a list of top machine learning companies based on their quality, performance, reliability and ability. Review 2021: Top 10 Machine Learning Companies Prolifics Prolifics is a machine learning company that takes charge of the customer's digital future. Founded in 1978, prolific understands and helps users to meet their customer's demands and expectations. The company uses its vast knowledge of cloud, Data & Analytics, Digital Business, DevOps and Quality Assurance to leverage users with fast, complete solution delivery experience. Prolifics provides expert consulting, engineering and managed services for all practice areas at any point. AI.Reverie AI.Reverie is an end-to-end data solution company that provides advanced Artificial Intelligence and Machine Learning services. The AI.Reverie team is rooted in diverse backgrounds bringing in together a shared vision in which artificial intelligence solves human needs. With the company's synthetic data learning environments and products, AI.Reverie has changed the paradigm of machine learning, creating a virtually infinite raw material (data) that has completely changed the cost structure of investment in machine learning of its clients and partners. UruIT UruIT is a solution provider that helps users to plan, design and develop their products to transform their business. For the past thirteen years, the company has delivered over 150 software design and development projects for countless business in diverse industries like SaaS, healthcare, and education. UruIT transforms customer's ideas into modern, technically roust and well-designed digital products, so they can grow and change their way of working. Talentica Software Talentica is a software product development company that helps start-ups to transform ideas into products. Talentica began its service in 2003 when start-ups began to emerge. The company provides custom software development, AI and blockchain solutions for start-ups and small to mid-market businesses. The company has a team of over 450+ experts who are well versed in languages like Java, Python, R, JavaScript, Node.js, AngularJS, Go and Rust. MobiDev MobiDev is a software development company that personalizes world-class mobile and web solutions for business. MobiDev creates complex business-driven solutions with a focus on innovation and transparency of actions, guaranteed product delivery and ongoing revolution. The main focus areas of the company are Machine Learning, Industry IoT, Augmented Reality, Data Science, Blockchain, Microservices & cloud infrastructure, Native mobile and desktop development, and cross-platform solutions. TIBCO Software TIBCO Software is an independent provider of infrastructure software creating event-enabled enterprises that unlocks the potential of real-time data for making faster and smarter decisions. The company's Connected Intelligence platform seamlessly connects any application or data source, intelligently unifies data for greater access, trust and control, and confidently predicts outcomes in real-time and at scale. InData Labs InData Labs is a leading data science firm and AI-powered solutions provider with its own R&D center. The key expertise lies in Artificial Intelligence and Machine Learning, computer vision and OCR, pose estimation, predictive analytics and big data. InData Labs provides consulting, AI-powered software development and post production support of projects in various industries. The company's mission is to help businesses leverage AI and ML for business process automation, workflow optimization and revenue boost. SteelKiwi SteelKiwi Inc, provides service in web development, mobile development, graphic design, technical support and quality assurance. Since 2011, the company has partnered with start-ups and entrepreneurs to create, integrate and support modern software solutions. With cutting edge technology stack, SteelKiwi ensures unbreakable full-cycle development from inception to release. The company provides a brand new online presence for its customers' business or automates the existing processes. Fabrics Fabrics is a specialist software development company that has successfully set the seal on over 250 projects in twelve years. Headquartered in Israel, Fayrix executes software development projects of any scale. The company stands out in broad technological and product expertise, serious and regardful attitude to partner business, and a successful track of projects in different verticals. Anodot Anodot is an American data analytics company that uses machine learning and artificial intelligence for business monitoring and anomaly detection. Anodot's Autonomous Analytics platform leverages advanced machine learning techniques to constantly analyze and correlate every business parameter, provide real-time alerts and forecasts, and lowers time to detection and resolution. Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.  

Anodot Announces Record Business Momentum in 2020 Company leaders anticipate continued success in 2021 through corporate growth, product innovation and strategic customer acquisitions December 17, 2020 09:15 AM Eastern Standard Time REDWOOD CITY, Calif.--(BUSINESS WIRE)--Anodot, the autonomous business monitoring company, is closing out a record 2020 fueled by business milestones inclusive of funding, executive hires coupled with a sizable increase in employee headcount, product innovation and new customer wins. Over the year, Anodot has laid the foundation to scale its business through partnerships with global and local resellers, systems integrators and OEM partners. The company is strategically equipped to support new industries and use cases in its next phase of growth as an AI-powered autonomous business operations company. Recognized by CRN, a brand of The Channel Company, as a 2020 Emerging Vendor in Big Data and as a finalist in two categories for the annual the Datanami Readers’ Choice Awards: Best Big Data Product or Technology: BI and Analytics as well as Top 5 Vendors to Watch, Anodot has spent the last 12 months focused on helping telco, financial services and digital-first firms monitor their most critical business operations. In 2020 alone, Anodot witnessed a more than 300-percent increase in organic inbound customer traction, further validating that autonomous business monitoring is of utmost value in today’s current landscape. Data-driven companies use Anodot’s patented technology to reduce time to detection and resolution for revenue-critical issues by as much as 80-percent. “Anodot has enabled Redis Labs to address key CX challenges: visibility, adaptiveness and scale,” said Oren Yaqobi, VP Customer Success at Redis Labs. “Since deploying Anodot, we’ve seen a significant decrease in the number of support tickets and a noticeable boost in customer satisfaction. Many of our customers don’t even know how many issues we resolved before they became a problem.” Earlier this year, Anodot raised $35 million in Series C funding, bringing the company’s total funding to $65.5 million. The round was led by Intel Capital, along with participation from Softbank Ventures Asia, Samsung NEXT and La Maison. The ability to raise funding in early 2020 amidst a global pandemic is a testament to Anodot’s powerful platform and the increased need of today’s digital business to partner exclusively with technology pioneers that can guarantee tangible business benefits. Operating in what many industry experts project to be a $169 billion big data and business analytics market, Anodot has enhanced its platform capabilities to meet the growing needs of complex business environments. These enhancements include: Real-time cloud cost monitoring: designed to signal cloud-related cost alerts, Anodot helps customers manage their cloud costs with real-time anomaly detection alerts so that issues can be remediated quickly. 360-degree ad performance monitoring: for customers needing to understand when a given campaign is overspending, underperforming or not operating properly, this feature supports reliability and consistency by monitoring all advertising functions for anomalies in clicks, impressions, conversions, reach, revenue and spend. Insights panel: The platform now surfaces high-level insights, such as noisy alerts and feedback distribution, demonstrating clear direct-to-business value. New technology integrations: Anodot’s robust integration store now includes the likes of Jira, VictoriaMetrics, ElasticSearch and Splunk, alongside dozens more. “The pandemic and concomitant recession have underscored the need for real-time insights that enable organizations to pivot quickly and adapt to rapidly changing conditions," said Wayne Eckerson, president of the Eckerson Group, a research and consulting firm specializing in data analytics. "Fortunately, there are real-time technologies, such as those from Anodot, that intelligently monitor tens of thousands of business-critical metrics, providing organizations with visibility into emerging patterns and anomalies, both large and small, that can significantly impact business outcomes." Anodot has also invested significant time and resources to expand its global presence; this includes welcoming key executive and employee hires across its offices. Vishal Rao, president and CEO of Snow Software, was appointed to Anodot’s Board of Directors. Additionally, the company also welcomed Randy Jones as Chief Revenue Officer to support the company in reaching new key markets. In addition, Anodot’s workforce grew by 20-percent to keep up with the growing demand of its platform. There are plans of continued hiring into 2021 in customer success and R&D roles - for more information please visit here. “The global COVID-19 pandemic accelerated digital transformation, forcing companies to seek out partners that could offer automated, transparent insights into critical business operations,” said David Drai, Anodot CEO and co-founder. “We quickly introduced new capabilities to our platform that could support things such as cost alerts for cloud services and campaign monitoring. Digital-first firms have realized that Anodot’s autonomous business monitoring platform provides the kind of real-time insight into anomalies that could negatively impact revenue, partner ecosystems, and customer satisfaction. The momentum we’ve captured as a business in 2020 will help fuel Anodot’s continued autonomous business monitoring innovation in key target industries such as telco and financial services.” For more information on Anodot’s milestones throughout 2020, please visit here. And for insight on how Anodot customers and other data-driven decision-makers have and will continue to leverage the company’s autonomous business monitoring platform, the company’s first ever virtual event, Data World, is available to watch on demand. About Anodot Anodot's Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time anomaly alerts and forecasts in their context. Fortune 500 companies, from digital business to telecom, trust Anodot's patented technology to reduce time to detection and resolution for revenue-critical issues by as much as 80 percent. Anodot is headquartered in Silicon Valley and Israel, with sales offices worldwide. To learn more, visit www.anodot.com and follow them on LinkedIn, Facebook, and Twitter.