Harvesting Engineering Knowledge from Consumer Generated Data
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
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
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
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.
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.
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.
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
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.
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.
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.
Use Machine Learning To Predict Remaining Useful Life
Machine learning (ML) and stream processing technology are powerful solutions for remaining useful life (RUL) analysis. Manufactures 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.
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.
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.
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,
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.
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.
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.
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.
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.
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.
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.
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.
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. as we focus on;
- How to democratise data inside and outside your company;
- How to manage the security and risk associated with data democratization;
- The improvements brought by having unified access to data.
Chaired by Anthony Townsend, Director of EMEA Sales, Altair.
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”.
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.
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.
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.
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.
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.
Advancing Data Analytics Strategies for Increased Business Value
Harnessing the full benefits of enterprise data solutions doesn’t happen overnight. At Altair we understand operationalizing analytics is a journey and we want to be your partner every step of the way. Learn how we’re delivering you the most value with our comprehensive enterprise data analytics solutions, flexible licensing model and expert global support services.
Unlock and Transform Difficult Data
Informed decision making begins with trusted, accurate data. Discover how to seamlessly connect to and easily transform disparate data using repeatable tasks using no-code data preparation from Altair.
Harness the Power of Machine Learning while Building Trust Using Explainable Analytics
Explore how business analysts and data scientists alike can leverage data science modeling at all skill levels, without having to code. Quickly build out predictive and prescriptive models that can easily explain and quantify insight found in your data.
Next-Level Operational Business Intelligence: Make Every Nanosecond of Data Count
Seeking a competitive edge to drive better business decisions? Experience how the power of real-time stream processing and visualization in the hands of those closest to the action results in smarter tactical and strategic decision making in rapidly changing environments.
Transform Your Business into a Data-Driven Enterprise
Altair has brought together a powerhouse team leveraging expertise in data prep, visualization, and machine learning to deliver a fully integrated end-to-end cloud native and on-premise data analytics platform. This is your chance to check out the features and how this new solution enables corporate citizens to build and operationalize data analytics applications using an extensible, open and low code platform.
Leveraging Data and Analytics in Retail, Insurance, and Telco
Learn how Altair's Data Analytics platform can help you ingest and prepare massive amounts of disparate data allowing you to identify clients that may be most likely to churn using our predictive analytics solutions.
Using Real-time Data to Maximize Customer Order Flow
Learn how Panopticon, Altair's real-time steaming analytics platform, can monitor customer trading activity in real-time to help you proactively address execution problems, maximize customer order flow and increase trading profitability.
The Value of Data Analytics in the Smart Factory
Increase shop floor efficiency by identifying hidden indicators for future down times in your manufacturing assets. Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - for increased value and reduced risk.
Smart Data for Intelligent Decision Making in Higher Education
Enrollment accuracy and student retention is essential to the survival of any university. Join us to explore how you can leverage your existing data and no code predictive models to make strategic decisions with confidence - even under intense pressure.
Introduction to Visual Analytics with Altair Panopticon
Introduction to converting data into useful visual displays that show useful, actionable information.
Presentations, Training Materials
Advanced Real-Time Visual Analytics with Altair Panopticon
Advanced real-time display on data and how to use Panopticon to visually display quickly changing data when needed.
Presentations, Training Materials
Unleash the Power of Data for Smart Enterprise Operations - Finance, Marketing, Human Resources, and More
From finance to marketing to human resources – data is more than just numbers – it’s business value waiting to be discovered. Explore how Altair’s self-service data analytics platform provides teams the tools they need to solve problems and create opportunities. Leveraging 30 years of experience in data preparation and no-code machine learning, we tackle common challenges like regulatory and reporting reconciliation that involve multiple data sources, talent retention, and customer segmentation. For large enterprises with robotic process automation solutions, Altair refines those architectures and automates the data transformation from the data extracts.
Imagine Software Embeds Altair Panopticon™
Imagine Software is the leading provider of real-time portfolio, risk management, and regulatory solutions for global financial services firms. Its clients include many of the largest banks, asset managers, hedge funds, and institutional trading firms in the world.
Imagine needed a visual analytics system to embed into its own scalable, enterprise-class risk and compliance platform, that also allowed Imagine client firms to embed dashboards into their own in-house and third party systems such as execution/order management, compliance and proprietary trading.
By partnering with Altair Panopticon, Imagine was able to bring their visualization-enabled risk and compliance platform to market in less than 60 days and saved an estimated $850,000 in development costs.
Continuous Intelligence and the Smart Factory
The presentation will go through a scenario of a smart factory (along the lines of the Industry 4.0 initiative) where a chemical process within a pharmaceutical company produces a substance critical to the production of medications.
Harnessing Smart Factory Data for Maximum Value and Reduced Risk
Increase shop floor efficiency by identifying hidden anomalies and delivering insights for next-level monitoring and maintenance of manufacturing assets. Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - for increased value and reduced risk with a comprehensive self-service data analytics and machine learning platform.
Decision Making Under the “New Normal”
“Altair transforms design and decision making by applying simulation, machine learning and optimization throughout product lifecycles”. We envisioned and matured our platform to provide a helping hand in taking our customers through the digital transformation journey to enable business transformation.
Altair Knowledge Studio and Panopticon - Use Machine Learning in a Smart Factory Process Manufacturing
This short video demonstrates machine learning applied to a manufacturing workflow for an organic synthesis process. Altair Knowledge Studio - Altair's solution for advanced machine learning and artificial intelligence - is used in combination with Panopticon - a platform for user-driven monitoring of real-time data.
How To Achieve Optimized Trading Analytics
In this webinar, we discuss the benefits of analyzing intraday trading risk and performance, the downsides of waiting for end-of-day reports, and the challenges associated with building and using risk compliance dashboards that traders and compliance managers can use effectively to inform trading decisions. We will also demonstrate methods for code-free development of sophisticated Real-Time analytics systems that can be customized to fit the unique requirements of a firm, desk, or trader.