panopticon

Visualize Trading Latency in Real Time: Use Panopticon to Optimize Your Corvil Investment

The ability to monitor, investigate, and act on time-sensitive data is critical to the success and profitability of electronic trading operations. With Altair® Panopticon™, traders can visualize latency metrics while slicing the data by symbol, order router, decision strategy, time in force, and any other FIX message field in real-time. Many buy-side and sell-side firms use Corvil, a product of Pico Quantitative Trading LLC, to capture and monitor trade performance, infrastructure performance, and latency from the edge all the way through their infrastructure.

Use Cases

Bank Increases Trading Efficiency

Global Bank Visualizes Real-Time Trading Activity with Altair The client is a global bank that offers a full range of wealth management, retail banking, and commercial banking services. It operates in more than 60 countries, has more than 200,000 employees, and has assets of about $3 trillion. Its commercial banking services positions it among the ten largest investment banks in the world and it provides both buy-side and sell-side services to individual and institutional clients. Its trading operations deal in equities, credit, rates, currency, commodities, and their derivatives.

Customer Stories

Guide to Using Altair Data Analytics to Estimate and Visualize Electric Vehicle Adoption

Data drives vital elements of our society, and the ability to capture, interpret, and leverage critical data is one of Altair’s core differentiators. While Altair’s data analytics tools are applied to complex problems involving manufacturing efficiency, product design, process automation, and securities trading, they’re also useful in a variety of more common business intelligence applications, too. Explore how machine learning drives EV adoption insights - click here. An Altair team undertook a project utilizing Altair Knowledge Studio® machine learning (ML) software and Altair Panopticon™ data visualization tools to investigate a newsworthy topic of interest today: the adoption level of electric vehicles, including both BEVs and PHEVs, in the United States at the county level. This guide explains the team’s findings and the process they used to arrive at their conclusions.

eGuide

Connected Products Deliver Big ROI

AI improves customer service and product quality for white goods manufacturer. Mabe manufactures home appliances, including stoves, refrigerators, washing machines, dryers, water purifiers, and more. The company is based in Mexico City and markets its white goods under its own brand as well as several others, including GE Appliances, in more than 70 countries. Mabe is an early leader in the development of connected products that allow its customer service personnel to monitor the health of its appliances in the field. Altair has been at the center of Mabe’s product development process for years, and Mabe is now working with Altair to deploy and enhance its connected products strategy. Learn more - click here to hear Martin Ortega, Senior Design Engineer at Mabe, explain how they are harnessing the power of big data, AI and simulation to accelerate product innovation.

Customer Stories

Visualize Power Flows in Real Time

The Electric Storage Company is a Northern Ireland-based firm that manages electric power in households from renewable sources using battery storage and Internet of Things (IoT) technologies. The company installs smart batteries in homes and communities, along with sophisticated management software that lets homeowners sell excess energy back to grid operators when prices are high and helps them maintain the lowest possible energy input costs. Managing varieties of base load and intermittent renewable power sources requires the ability to ingest, process, and analyze high frequency information emanating from the grid and thousands of devices. The company needs real-time insight into energy markets, the grid, battery systems, and generation facilities, as well as customer-level power consumption patterns. Understanding consumption and generation trends optimizes power routing and battery storage and ensures that power sold back to the grid or on the open market is fetching the best possible price.

Customer Stories

AI-Supported Material Test Automation

Altair’s artificial intelligence (AI) and machine learning (ML) software helps materials scientists understand how to best fill gaps in their material databases, even when it’s impossible to test all possible variants. These advanced tools also optimize testing programs, improve efficiency, and reduce the time required to complete materials testing.

Use Cases

Harvesting Engineering Knowledge from Consumer Generated Data, by Mabe

In a world where everything is becoming more and more connected, Mabe, a leader in home appliances, is using product connectivity to fuel a digitization strategy that delivers consumers the best experience through their solutions and services. Learn how they are using big data, AI, and analytics to uncover insights, create new business opportunities, and inform product development. The presentation by Martin Ortega, Senior Design Engineer at Mabe, aired at Future.AI in June 2021, and is a little over 17 minutes long. Learn what it takes to build a smart product – and where to begin. Download our free eGuide. View all Future.AI 2021 Presentations

Future.Industry 2021

Predictive Maintenance for Heavy Equipment, by Serba Dinamik

Serba Dinamik turbines power all critical systems on oil rigs, including safety systems and pumps. The equipment must be consistently reliable with no unplanned downtime. Traditional preventative maintenance schedules are time-consuming and resource-intensive. Learn how they developed a predictive maintenance system, to take preventative action only when needed.

Future.Industry 2021

Streamlining Product Development by Using Digital Twins with Integrated System Simulation

The Digital Twin concept is broadly applicable to all Altair customer base wanting to develop better products faster. We will explain how to maximize the value you can get from the Altair Platform for Digital Twins. We will illustrate how this solution helps diverse engineering teams develop better, more complex products faster by avoiding work in silos. This will include proven uses cases for the convergence of simulation and data.

Future.Industry 2021

Leveraging SmartWorks Platform to Deploy Predictive Maintenance Strategies

The costs of unscheduled downtime in manufacturing environments can be detrimental to operations. Altair makes it easy to monitor equipment health in real-time and predict failures. See how you can gain the insights your organization needs to avoid machine failures and unplanned downtime, increase equipment utilization and production line productivity, and reduce maintenance costs.

Future.Industry 2021

Altair Data Analytics for Banking, Financial Services & Insurance

Altair works with over 3,000 banks & credit unions, buy & sell-side trading organizations, security exchanges and insurance companies. Delivering best of breed applications from automated data preparation, and predictive analytics, to real-time data visualization. We provide you with technical resources from trusted subject matter experts in the field who understand your business, making your user experience seamless in transition. Altair offers a unique licensing model with cost-effective options to gain the competitive advantage in your market.

Brochures

Harnessing the Power of Big Data, AI and Simulation to Accelerate Product Innovation

In a world where everything is becoming more and more connected, Mabe, a leader in home appliances, is leveraging the convergence of big data, analytics and simulation to accelerate innovation. Martin Ortega, Senior Design Engineer at Mabe, explains how they are using Altair’s AI, data analytics and simulation solutions to uncover insights, create new business opportunities, and advance product development. Learn more - click here to read how connected products deliver big ROI.

Customer Stories

Altair Data Analytics Spotlight Series: Visualizing Latency in Realtime

The inability to monitor, investigate, and act on time-sensitive data poses a substantial risk to your trading operations. Corvil provides unparalleled, best-in-class latency measurements from the edge all the way through your infrastructure, and Altair's real-time streaming and data visualization platform, Panopticon gives you the ability to design visual user interfaces of that data that give you the perspective you need to make insightful, fully informed decisions based on massive amounts of fast-changing data. Learn how you can leverage Panopticon to remove traditional Corvil session constraints and analyze latency metrics based on symbol, order router, decision strategy, time in force, and any other FIX message field in real-time.

Webinars

Altair Visual Analytics is Core Element in FlexTrade Securities Trading Program

Banks, hedge funds, asset managers, and other financial firms use FlexTrade software to reduce their trading costs, increase their trading velocity, and increase the profitability of their trading operations while maintaining compliance with all applicable banking laws and regulations.

Customer Stories

Analytics for Heavy Equipment

Serba Dinamik is an engineering company specializing in operations and maintenance (O&M), engineering, procurement, construction and commissioning (EPCC), and IT solutions for energy exploration and production firms. Their team worked with Altair to develop a Smart Predictive Maintenance Data System (SPMDS) utilizing Knowledge Studio and Panopticon. Maintenance crews use Panopticon-powered dashboards built into SPMDS to monitor every sensor mounted on operating turbines in real time. AI models built with Knowledge Studio identify potential failures or issues that require engineering attention, and, based on that understanding, take turbines offline only when necessary.

Customer Stories

Altair® Panopticon™: Comprehensive Data Visualization and Streaming Analytics

Panopticon provides business users, analysts, traders, and engineers with the monitoring and analysis tools they need to conduct successful, profitable operations while maintaining a close eye on anomalies, trends, clusters, and outliers. They can make insightful, fully informed decisions based on massive amounts of fast-changing data. Panopticon is enterprise-class software you can deploy in the cloud (public or private) or on-premises. It connects directly to virtually any data source, including big data sources, SQL and NoSQL databases, flat files, and real-time message queues. Users can develop stream processing applications and design sophisticated visual user interfaces without writing a single line of code. This technical document provides a summary of the capabilities, implementation options, applications, and benefits of using Panopticon to support your operational requirements.

Technical Document

Combining System Modeling & Data to Optimize Heavy Equipment Performance

Information silos present a major challenge to Heavy Equipment OEMs. Poor integration of simulation models across the product life cycle, limited reuse of models between programs, and a variation of modeling maturity across various engineering disciplines result in lack of traceability and ultimately hampers development efficiency and product performance. Using system modeling and asset-centric data analytics solutions help develop and orchestrate coherent models to increase decision-making confidence and speed.

Technical Document

Gain Future Insight with Your Human Resources Data

Human resources (HR) is tasked with recruiting the best talent and keeping culture at the forefront while staying on top of payroll, performance, and many other responsibilities. What if you could save time getting these tasks done while your human capital is ahead of the curve to meet your organization’s business goals?

Use Cases

Real-time Client Insight for Sales Trading

Using Altair Panopticon in conjunction with Kx kdb+, HSBC is able to analyze client flow globally, across their businesses and regions, and down to the market and stock level. Vega Murden, HSBC's Team Lead, MSS Equities Cash & Electronic IT, will discuss how this enables the bank's traders to have more meaningful client interactions and identify and measure improvements in their product offerings. With this combination of technologies, they are able to offer this information to their front office teams in real-time and with granular historic data to support trend analysis and data investigations. The presentation aired at Future.AI in June 2021, and is a little over 12 minutes long. Explore how you can gain real-time visibility into market activity with Altair Panopticon™. View all Future.AI 2021 Presentations

Future.AI 2021

FlexTrade and Altair Panopticon

Now more than ever, professional traders need access to data visualization tools that enable them to make strategic decisions quickly and easily. Learn how FlexTrade System’s visualization suite is utilizing Panopticon for enhanced data visualization of trading data. Deep dive into the industry issue FlexTrade needed to solve, the solution, and how the results delivered value. This presentation by Paul Clarke, SVP Global Strategy, FlexTrade, aired at Future.AI in June 2021 and is about 15 minutes long. View all Future.AI 2021 Presentations

Future.AI 2021

Optimizing heavy equipment product performance combining system modeling and data

Several OEMs currently face the challenge of information silos due to poor integration of models across the product life cycle. Furthermore, there is limited reuse of models between programs and the variation of modeling maturity across various Engineering disciplines results in lack of traceability. In this short presentation, we will look at solutions and workflows that leverages a systems model as a common language of communication while facilitating various types of real time dashboards and visualization to help understand and optimize the entire Mechatronic system performance.

Presented at the ATCx Heavy Equipment in May 2021.

Speaker: Keshav Sundaresh, Global Director – Smart Systems & Mechatronics, Altair

Duration: 20 minutes

Conference Presentations

Analyze Performance and Operations of Truck Fleets in Real Time

Altair’s event processing and data visualization tools enable fleet operators to analyze critical data streaming in from sensors and other sources. This real-time visibility into vehicle and driver performance helps reduce operating costs, improve driver safety, and increase fleet productivity. Analysts can display maps showing the current position of all assets, examine route deviations, program alerts on any set of parameters, and compare drivers’ behavior. Analysts can design and modify analytical dashboards as needed without writing a single line of code.

Use Cases

Panopticon Demo: Monitor and Analyze Real-Time Data from Oil and Gas Drilling Operations

Oil and gas wells are equipped with a variety of sensors measuring temperature, torque, friction, pressure, location, volume of production, and rate of penetration. This telemetry data streams into a central control room over low latency message buses, where engineers and analysts use Altair® Panopticon™ to monitor and analyze that data in real time. A single Panopticon workbook can process and visualize data from any number of wells and display geospatial information and all critical parameters — down to the nanosecond if needed. The software can make on-the-fly comparisons between current readings and historical time series data and alert users to potential maintenance issues before they can bring drilling to a halt.

Use Cases

The Deep Dive: Practical AI and Data Science for Engineering

Engineers in manufacturing industries can spend as much as 50% of their time acquiring and synthesizing the data required to perform their day-to-day roles. We are convinced that engineers skilled in the use of AI toolsets hold the key to reducing the barrier to successfully capitalize on datasets across a wide range of complex manufacturing problems - from product design and new development to ongoing maintenance. These skills not only enable rapid, data-driven decisions and significantly improve productivity, but also empower engineers to meet the rising demand for an AI-skilled workforce. Take the next step in unlocking immediate opportunities for your manufacturing operations. Watch our in-depth session, The Deep Dive: Practical AI and Data Science for Engineers.

Webinars

Monetize Your Data Analytics Performance Through Collaboration

How can we take a step back from our current processes and improve them with new Machine Learning tools, or just clever reporting? In this session, our in-house solutions expert Alyson Kelley discussed how to monetize your current processes by: - Understanding current trends in data analytics - Creating strategic alliances within your organization - Taking advantage of partnerships with current vendors

Webinars

Accelerate Data-driven Smart Operations with Altair Manufacturing Analytics

Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - with self-service data analytics and machine learning solutions.

Product Overview Videos

Data Science for Engineering

Data science and AI are game-changing technologies for engineering and manufacturing companies. To embrace the need of today and the future for self-service data science and analytics in manufacturing, we need more data engineers to make this all possible.
At Altair, we envision a future where engineers are well equipped to apply data science techniques to derive powerful predictive analysis that transforms the way they operate. There are a plethora of applications for data science in manufacturing - from product design, supply chain optimization, and fault prediction, and preventative maintenance to demand forecasting, and quality assurance. By bridging the gap between the data scientist and engineering roles, your organization can breakdown data silos and extract actionable insights to drive real business value.
The movement has just started. Watch our on-demand webinar to learn more.

Webinars

Monarch Spotlight Series - Data Automation for Mortgage Servicing

Mortgage Servicers using Black Knight face significant challenges around quickly and cost-effectively accessing lending and prepayment risk. Mortgage Servicers rely on the client and transactional data to evaluate pre-payment risk and execute on investor reporting, loss analysis, and servicing transfers. On platforms like Black Knight MSP, that data is either trapped in static reports or accessible through costly add-ons like BDE. The Altair Mortgage Suite serves as a complement to the mortgage servicing platform by transforming reports into tabular data, applying machine learning, and presenting the data in a visual, easy-to-interpret fashion. Come join our in-house expert with two decades of experience in mortgage servicing Joe Lovati to learn how the Altair Mortgage Suite can bring efficiency to your processes.

Webinars

Guide to Process Manufacturing

Any industry that produces bulk quantities of goods such as pharmaceuticals, food, chemicals, or cosmetics, is seeking to produce these products consistently while reducing cost factors like waste and down time. Due to the nature of process manufacturing, multiple ingredients are combined to be mixed, coated, or sorted, so understanding the behavior of these processes is of paramount importance for manufacturers. Through the use of simulation modeling and Smart Manufacturing principals, manufacturers are now able to optimize these processes, leading to greater productivity and profitability.

eGuide

Use Machine Learning To Predict Remaining Useful Life

Machine learning (ML) and stream processing technology are powerful solutions for remaining useful life (RUL) analysis. Manufacturers can use the large amounts of data produced by sensors combined with human inspections of finished pieces to train ML algorithms. The ML tools can then proactively alert operators when a tool is approaching its end of life, allowing them to schedule the replacement for a convenient time. Stream processing algorithms can also process all the sensor data being generated by any number of production machines, make on-the-fly comparisons with historical data, and increase the accuracy of ML algorithms. This solutions flyer explains how smart selection and application of ML tools combined with the availability of clean, governed datasets help manufacturers optimize their maintenance and wear part replacement schedules.

Use Cases

Detect Anomalies in Manufacturing Equipment and Systems

Identifying unusual behaviors or patterns in machine components using sensor data can prevent small glitches from creating major operational problems.

Use Cases

Implement Effective Manufacturing Process Analytics

By extracting real value from their data, manufacturers can make accurate predictions about component life, replacement requirements, energy efficiency, utilization, and other factors that have direct impacts on production capacity, throughput, quality, sales, customer acceptance, and overall efficiency.

eGuide

Panopticon Demo: Visualize Real-Time Telemetry Data from Formula 1 Cars

In this demo, real-time telemetry data from a simulated Formula 1 car on the Austria-Spielberg track is being delivered to Panopticon,

Use Cases

Monitor Performance of a Trucking Fleet in Real Time using Altair Panopticon

Panopticon enables fleet operators to analyze critical data streaming in from sensors and other sources.

Use Cases

Guide to Using Data Analytics to Prevent Financial Fraud

Financial fraud takes countless forms and involves many different aspects of business including; insurance and government benefit claims, retail returns, credit card purchases, under and misreporting of tax information, and mortgage and consumer loan applications.

eGuide

Real-time Risk Monitoring in Electronic Trading Environments with Panopticon

On the buy-side, risk monitoring helps portfolio managers formulate new strategies for assessing performance. On the sell-side, the same tools enable traders and managers to monitor and analyze all aspects of risk throughout the trading day. Regardless of which asset classes are being traded, the ability to monitor risk on a real-time basis is revolutionizing how risk compliance is accomplished at top tier financial institutions around the world.

Conference Presentations

Data-Driven Strategy to Transform Warranty Process

Warranty claims contain valuable information about product quality and reliability, customer expectations, and can reveal design or manufacturing defects. The proper utilization of this data enables manufacturers to make improvements to existing products, develop more reliable new products, and drive increased profitability.

Use Cases

Advance Asset Maintenance Strategies with Predictive Analytics

Predictive maintenance provides a proactive solution to monitor equipment health and predict failures. It enables organizations to avoid machine failures and unplanned downtime, increase equipment and production line productivity, reduce maintenance costs (including hard component replacement costs and associated personnel time), and improve output quality.

Use Cases

Altair Data Analytics for the Federal Government

Altair Data Analytics enabled government agencies and people of all skill levels to access, generate, and use smart data to make insightful, informed decisions.

Use Cases

The Next Generation of Data-Driven Lending

Post COVID-19 and as we navigate our new normal - banking and lending will undoubtedly be transformed. As the economic fallout spreads, financial firms are grappling with a major influx of relief requests from consumer and business customers. Our panelists discuss whether modern technology, advanced analytics, and a data-driven approach can hold the keys to ensuring banks and fintech leaders continue to scale despite this rapidly evolving credit crisis.

Webinars

The Future of Self Service in Data & Analytics

Featuring an enviable lineup including; Frederic de Sibert, Global Head of Investment Banking Services Strategists at Goldman Sachs, Paul Downes, COO at Autovista Group, Kerem Talih, General Manager/CFO at Doğuş Otomotiv and Dr. Mamdouh Refaat, Chief Data Scientist at Altair. This hour-long webinar is full of insight, guidance, and tips from global businesses that are at various stages of their Data & Analytics journeys.

Webinars

The Future of Data Democratization

Hear from a prestigious panel of experts including David Huguet, Data Lead at SNCF, plus Martijn van Baardwijk, CFO - Continental Europe at Inchcape plc.

Webinars

The Future of Augmented Analytics

Augmented Analytics is being touted as the next frontier in AI’s Evolution with Gartner defining it as “the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data”.

Webinars

Altair's 2020 Data Analytics Summit

James R. Scapa brings more than 35 years of engineering experience to his dual role of chairman and CEO of Altair, a title he has held since the company's inception in 1985. Through Scapa's leadership, the company is now a global technology company that provides software and cloud solutions in the areas of product development, high performance computing (HPC) and data analytics. Today, the company employs over 3,000 engineers, scientists and creatives with more than 86 offices in 25 countries. With more than 11,000 customers globally, Altair software enables customers to enhance product performance, compress development time and reduce costs. Scapa earned a bachelor's degree in mechanical engineering from Columbia University and a master of business administration degree from University of Michigan.

Data Anaytics Summit 2020

5 Key Areas to Invest in to Enable Smarter Decision Making

Explores the five key areas to invest in to enable smarter decision making with data.

Data Anaytics Summit 2020

The Future of Altair's Data Analytics Solutions

Altair solver technology helps to unleash the limitless potential of the creative mind. We seek through our technology to inspire and empower people to solve the greatest engineering challenges. The 2020 software release further advances forward-looking technologies for simulation and optimization from concept to in-service across multiple disciplines encompassing structures, fluids, thermal management, electromagnetics, and electronics. With major additions to our multi-physics solver portfolio, we get ever closer to being able to reliably predict design performance.

Data Anaytics Summit 2020

The Data-Supported Deception: False Insights

ML and AI is experiencing a revolution in the scale of usage and applications. A common and frequent step in the ML model development process is the use of data to extract insights about the process being modeled and optimized. However, insights based on data could often show unreal trends and relationships.

Data Anaytics Summit 2020

Sam Mahalingam and Dr. Carsten Bange Fireside Chat

Join Sam Mahalingam and Dr. Carsten Bange for a discussion on the latest trends influencing the world of data analytics.

Data Anaytics Summit 2020