By AIT News Desk On Nov 9, 2020 Seasoned software executive joins AI analytics startup to support the company through its next wave of innovation and expansion Anodot, the autonomous business monitoring company, announced the appointment of Randy Jones as Chief Revenue Officer, effective immediately. In this role, Jones will be responsible for scaling and expanding Anodot’s global business and will oversee the company’s full customer lifecycle by leading customer success, sales, and overall growth. According to industry insight, AI-powered data and analytics technology will play a significant role in 2021. Companies will require real-time transparency to forecast, manage and mitigate critical business issues, especially as the global economy continues adjusting to a digital-first environment. This, coupled with the rapid adoption of AI technology creates a ripe market opportunity for startups such as Anodot. “After spending the greater portion of my career in monitoring, I can confidently state that Anodot is the leading autonomous business monitoring platform on the market today,” said Jones. “Legacy systems are simply unable to offer the same kind of real-time critical incident detection for big data at machine speed. The company’s leadership team has unlocked the true potential of an AI-powered, autonomous monitoring platform and I look forward to supporting Anodot in this next wave of growth.” Jones has spent the last two decades of his professional career with a specialized focus on software monitoring and management technology, growing SaaS companies from $0 to $100M in ARR. Prior to joining Anodot, Jones was the Chief Revenue Officer for ScienceLogic, an AIOps and IT infrastructure monitoring platform provider, where he was responsible for overseeing global sales. Jones was instrumental in expanding the company’s size and sales force and also played a vital role in growing the firm’s ARR year-over-year. Before ScienceLogic, Jones was CEO of Regent, a venture-backed startup providing SaaS-based automation solutions for financial aid verification. “Anodot has made significant strides in 2020, particularly in how we are evolving our business to address the changing needs for our customers. We’ve advanced the AI innovation fueling our technology, onboarded customers and most importantly, we’ve invested in growing our company through strategic hires equipped to tackle new markets,” said David Drai, CEO and co-founder, Anodot. “Welcoming Randy Jones to our executive team will create new opportunities for Anodot as we work with digital businesses across the globe to embrace the next generation of analytics. ”  

Originally published on BusinessWire REDWOOD CITY, Calif. — Making its first-ever debut, Data World is a premier, week-long event that will connect the top minds in data analytics for thought-provoking discussions. Hosted by Anodot, the autonomous business monitoring company, Data World is a free event that will take place October 19-23, 2020 and will stream live via Data Academy, a centralized learning hub and thought leadership platform. Data World will offer can't-miss interactive panel discussions, featuring the top minds of today’s most notable data-driven companies across multiple industries, including eCommerce, adtech, telecom and fintech. Attendees will walk away with newly acquired knowledge of how to leverage successful data strategies implemented by their peers. “During a time of economic upheaval and lack of in-person industry conferences, Data World presents the opportunity for practitioners to discuss the strategic importance of using data insights to adapt to the new norm apparent across businesses today,” said David Drai, CEO and co-founder of Anodot. “This isn’t about the vendor behind the technology, but rather, the digital strategies that are driving better decision-making.” Technologists and data leaders representing companies such as Vimeo, AppsFlyer, T-Mobile Netherlands, Gong, Redis Labs, Spot by NetApp, GetYourGuide, Gainsight, Wix and Vdx.tv will be in attendance. “Data World is a venue for collaborative learning and debuts at a time where we as industry practitioners must come together and set the stage for what’s to come in 2021,” said Lior Solomon, Head of Data, Vimeo, who’s participating in the panel, “Proactive Customer Experience Monitoring.” “We’re hopeful that those attending will walk away with newfound knowledge of how today’s digital business can succeed in a time when customer satisfaction and loyalty is so critical to any organization.” Beginning on Monday, October 19, Data World will offer a jam-packed schedule of panels. Anodot will be joined by leaders from data-driven companies to discuss: Saving Big on Cloud Costs - speakers from Spot, Wix and GetYourGuide will discuss how they’ve optimized cloud usage to save hundreds of thousands of dollars. Demand Gen Like a Pro - speakers from AppsFlyer and Gong will offer real-world methods for managing spend, their favorite attribution models and services, the KPIs and alerts they monitor most, how to automate tasks and optimization success stories. The Future of Network Monitoring - T-Mobile and Anodot’s Chief Data Scientist, Ira Cohen, will discuss the technologies that are supporting today’s critical initiatives, such as transitioning to the cloud, 5G deployment and high-speed broadband, in addition to implementation strategies. Proactive Customer Experience Monitoring - data and customer success leaders from Vimeo and Redis Labs will address the challenges of monitoring a large customer base and will offer advice on how to use real-time monitoring and alerts to anticipate customer needs. Building Resilient Products - tech and product leaders from Gainsight and Exponential will share proven strategies for creating a customer-centric culture for product and engineering teams and useful tools to support these initiatives. To register and learn more, visit the Data World event page and the Data Academy platform.

See the full publication here. JANUARY 2021, CASE ,HBS CASE COLLECTION ABSTRACT Autonomous business monitoring platform Anodot leveraged machine learning to provide real-time alerts regarding business anomalies. Anodot’s solution was used in various industries in order to primarily monitor business health, such as revenue and payments, product usage and customer experience. Every day, Anodot used 30 types of learning algorithms to analyze 6.2 billion data points and 428 million unique metrics. By 2019, Anodot’s platform tracked more than 400 million metrics daily, driving four billion autonomous decisions that were translated to less than 1,000 alerts for all its customers. This highly accurate monitoring led to a low incidence of false positives, or false alerts, and customer satisfaction was high. Since Anodot’s tool had the ability to identify granular business anomalies in real time, such as an unexpected drop in e-commerce sales for particular products or markets due to a technical glitch, fast detection and resolution of the problem meant that the potential financial damage could not be easily measured. The management team contemplated several strategic issues: How could they help their customers realize the value of Anodot? They had been working on several tools to show the value in different stages of the sales cycle and post-sale, but it was still hard to measure the actual financial value. In 2019, Anodot had adjusted its strategy to focus on client verticals and use-cases that would benefit most from Anodot. Would this make the sales process any easier? An improved product-market fit, combined with an ability to measure Anodot’s value, could increase conversion and retention. Should they narrow down the use cases even more? As the team was thinking about their next funding round, it was important to prioritize their efforts.

REDWOOD CITY, California – August 17, 2020 - Anodot, the autonomous business monitoring company, announced today that CRN®, a brand of The Channel Company, has named Anodot to its 2020 Emerging Vendors list in the Big Data category. This annual list pays tribute to new, rising technology suppliers that exhibit great promise in shaping the future success of the channel.  Anodot uses machine learning to continuously monitor business metrics and detect significant anomalies for more than 100 customers, including Atlassian, Xandr, T-Mobile, UPS, Bird, Vimeo and Nordstrom. As opposed to BI tools and static thresholds, Anodot’s algorithms have a contextual understanding of business metrics. By continually monitoring and correlating business performance, Anodot identifies revenue-critical issues, providing real-time alerts that help users cut incident costs by as much as 70 percent. Now, more than ever, it's critical that businesses adopt solutions that empower them to leverage business data to quickly respond to changing user demands and resolve hidden revenue leaks.  “Today’s data-driven companies are managing millions, if not billions, of daily data points and metrics, but traditional monitoring tools are failing to keep pace,” said David Drai, CEO and co-founder of Anodot. Our patented algorithms autonomously analyze data from siloed network operations, business operations, and customer experience systems to deliver the right results in real-time. We thank CRN for recognizing our innovative approach to helping companies leverage their data to take immediate action, avoid losses and stay on top of business success – especially in times of economic turbulence.” CRN’s Emerging Vendors recognizes pioneering technology suppliers in IT that are inspiring the industry with groundbreaking technologies and best-in-class offerings that elevate businesses. This list serves as a valuable resource for solution providers in search of the latest tech resources.  “CRN’s 2020 Emerging Vendors list recognizes vendors that are revolutionizing the IT channel with innovative solutions that meet the complex demands of our industry,” said Blaine Raddon, CEO of The Channel Company. “It honors inspirational new vendors that are driving channel growth with state-of-the-art technologies that will continue to shape the channel into the future.” The 2020 Emerging Vendors list is featured in the August 2020 issue of CRN Magazine and online at www.CRN.com/EmergingVendors.   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. 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 The Channel Company The Channel Company enables breakthrough IT channel performance with our dominant media, engaging events, expert consulting and education, and innovative marketing services and platforms. As the channel catalyst, we connect and empower technology suppliers, solution providers, and end-users. Backed by more than 30 years of unequaled channel experience, we draw from our deep knowledge to envision innovative new solutions for ever-evolving challenges in the technology marketplace. www.thechannelco.com Follow The Channel Company: Twitter, LinkedIn and Facebook  ©2020 The Channel Company, LLC. CRN is a registered trademark of The Channel Company, LLC. All rights reserved.

By Maria Korolov Published June 8, 2020 in TechTarget Depending on your data needs, embedded analytics from a BI platform or a more custom-built analytics framework may work. Read on for the benefits of each option. Mighty nice enterprise application you've got there, shame it doesn't have any interactive visualizations and your users are going blind from staring at rows and rows of tiny numbers. Unfortunately, the easier something is to use, the harder it seems to be to develop, and budgets and resources are stretched tight -- right now especially. That's where embedded analytics come in. Depending on how much customization you need and how fast you want it, there are two main options: embedded analytics from business intelligence vendors and embedded customizable analytics from development frameworks. Embedded BI to the rescue All the big business intelligence platforms, such as Tableau and Power BI -- and smaller alternatives such as Qlik and Looker -- have embedded analytics functionality. If your company is already using one of these platforms, the data connections are already in place, analytics have been set up and views have been created. All you need to do is add the embed code to your application. Your end users will get pretty, interactive charts with a look and feel that they may already be familiar with right when they need to see them. And if you need to create new views or change existing ones, a business analyst or even a power user can do the work right in the BI platform -- you don't need any custom development. Even technology companies benefit from being able to quickly embed visualizations from BI platforms. For example, DotData is a technology vendor working on automating the creation of AI and machine learning applications. If anyone could quickly whip up some embedded analytics, it's them. "We are visualizing our sales stats and financial data," said Ryohei Fujimaki, CEO and founder of DotData. "But we are a small company and we don't have the resources to spend on this." Instead, the company is using an existing BI platform with an embedded analytics option. Fujimaki declined to name the specific vendor they use but said embedded BI is the easiest option. The downside is that there are limits to what a BI platform can offer. In general, embedded BI analytics are passive views. Users can't edit the data or add new data in the visualization. And you're stuck with the BI platform's display options. That means that you might -- or might not -- be able to match your enterprise application's look and feel. Additionally, according to Fujimaki, many of the platforms are still in the early stages when it comes to more advanced machine learning and AI capabilities or automation. Development framework: More options, more work What do you do if you want better control over the graphics, interactivity or data that is displayed? What do you do if you want users to be able to take actions right from the visualization such as update billable hours or re-sort and filter the data in a way that's more relevant to them but isn't a standard option with your BI platform's embedded analytics? That's where the visualization development frameworks come in. There are commercial platforms and open source libraries that allow you to embed customizable analytics. On the commercial side, Lewis Carr, senior director of product marketing and management at Actian, said that Logi Analytics and Sisense are good places to start. "They are replacing hand-coded options based on a multitude of developer libraries and tools," he said. For customizable analytics, a commercial platform can get companies to market faster than a collection of open source libraries, especially companies that don't have as much expertise in the subject. "Furthermore, the use of 'buy' tools tends to reduce the buildup of costly technical debt over time," Carr said. But the libraries allow for an even greater level of control for customizable analytics and can provide cutting-edge capabilities that haven't made their way into commercial platforms yet. "For example, there are a lot of libraries that allow you to do machine learning and similar things," said John O'Neil, chief data scientist at technology vendor Edgewise Networks. "The most famous ones are the deep learning libraries like PyTorch." It all depends on how out-of-the-box the problem is and how important it is to the business, he said. "If it's key to the enterprise, you might want to build your own so you can do exactly what you want." He warned, though, that building from scratch requires not just the presentation layer but also getting the data into the right shape, doing the analytics and getting everything to work efficiently with a lot of data. "That's a nightmare of a job," he said. "I'm glad I don't do it." In some situations, however, there's no alternative but to build from scratch. "Governments traditionally have a build-your-own type of philosophy," said Kathleen Featheringham, director of AI strategy and training at Booz Allen Hamilton. "That can be costly and hard to integrate. It's a redo every single time something changes. To keep those maintained, that's really hard." In addition, there's no one big development framework that is the platform of choice for creating embedded customizable analytics. Instead, she said, there are a lot of smaller tools for specific problems and use cases, such as libraries for geospatial visualizations. Open source tools in the Python ecosystem include Bokeh, Matplotlib and SeaBorn. Popular JavaScript tools include D3, React-vis, Chart.js and VX. "D3 is a JavaScript framework that is good at making fast but rich analytics presentations," said Ken Seier, national practice lead and chief architect of data and AI at Insight, a technology consulting and system integration firm. Unlike the embedded analytics available from the BI platforms, however, these frameworks may be missing key functionality, such as the data pipelines or AI or machine learning capabilities. "You would need additional code or engineering to provide the other components," he said. "But the advantage is that you can do a lot with it." Most of the time, Seier said, the embedded analytics available from the BI platforms are good enough. "For most of our users, we take something from a BI platform and put it in an application and it meets user needs," he said. "But if it has to be highly published or exceeds the capability of the BI tools, we do custom development. And a BI tool is focused on consumption only. If you want to make interactive decisions, that's done more through the transactional application mode." In addition, if the embedded customizable analytics visualization pulls data directly from the transactional database, it can be more up to date than one that comes through the BI platform. Roadblocks with embedded customizable analytics One thing to be careful about, however, is that custom-built embedded analytics can be fragile and can break if something changes. And getting them to work perfectly can be a challenge. "I personally believe that using a powerful visualization tool that is simple to use and maintain is key to the success of the embedding project," said Hadar Fogel, head of global engagement at Anodot, a business monitoring company. "If your embedded dashboards crash, take ages to load or are not intuitive, people will just not use it." It's a shame, she said, when a company invests a lot of time and resources in a project and then gets zero value out of it. "Some customers I worked with initially thought their data is so unique that no off-the-shelf visualization tool can support it," she said. "In most cases we discovered together that this concept is wrong. There are very strong and flexible visualization tools out there." [caption id="attachment_8274" align="alignleft" width="758"] Source: TechTarget[/caption]