Realizing the promise of AI in Financial Services for exceptional customer experience
Today, delivering exceptional customer experience and gaining customer loyalty are the utmost requirements of financial institutes. This is fuelled by the increasing competition and ever-changing business environment. The next-generation banker requires a new and focused embrace of analytical technology stacks that support the analysis of large volumes of customer and transactional data.
Speakers:
Sumit Dutta
Chief Executive Officer-ASEAN Business Partner; Ex- CEO
Henry Rhoel R. Aguda, FICD
Senior Executive Vice President, CTOO and CTO, Union Bank of the Philippines
Nilo Cruz
Chief Strategic Advisor-Information Communication Industry; Ex-CIO-Development Bank of the Philippines
Webinars
Fireside Chat: Why Engineers will be the key to unlock the digitilization potential at manufacturers
The ever-advancing digitization is being driven by the convergence of simulation, data, and HPC. While virtual methods, interoperable tools, and standardized interfaces become state of the art, the engineers and their management will play a significant role to break down silos and benefit from a Digital Thread.
In this fireside chat, we will discuss the importance of people to unleash the potential of Digital Twins, how they can combine the different fields of product development and what is still missing to make the connection.
Future.Industry 2021
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
Connectivity Solutions for Industrial Internet of Things in the Mining Industry
Industry 4.0 has led companies to investigate the automation of traditional manufacturing and industrial
practices using modern smart technologies via Industrial Internet of Things (IIoT) making agricultural
and mining equipment, trucks, and other heavy industrial assets smarter via effective connectivity solutions.
Technical Document
Engineers will make AI work
Anthony Mc Loughlin VP Sales Data Analytics, EMEA presents how to empower engineering to make data & AI work.
ATCx Industrial Machinery 2021
The Value of Data Analytics in the Smart Factory
Marco Fliesser Technical Director Data Analytics EMEA presents "The Value of Data Analytics in the Smart Factory
".
ATCx Industrial Machinery 2021
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
The Digital Approach to Industrial Machinery Design
The need to design more complex industrial machinery on shorter timelines
means that companies ask engineers to do more with far less.
Chad Jackson, CEO of Lifecycle Insights, describes the digital approach to industrial machinery design and explains strategies leveraging Simulation, Data Science and High-Performance Computing. He shows how companies creating equipment that increases cycle speed and improves yields in this technical report.
The E-Book covers the following topics:
- THE DEVELOPMENT CHALLENGE OF INDUSTRIAL MACHINERY
- ADDRESSING STRUCTURAL STRESS AND STIFFNESS
- ARCHITECTING AND VALIDATING SYSTEMS DESIGN
- SELECTING THE RIGHT ACTUATION COMPONENTS
- MITIGATING VIBRATION AND EXCITATION
- PLANNING AND VALIDATING CONTROLS DESIGN
- STREAMLINING COMMISSIONING
- MONITORING THROUGH FIELD DATA
- RECAP AND CONCLUSIONS
eBooks
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
Optimizing RPA Strategy for 2021: Altair Monarch, Automation, and Speed to Result
In this webinar, we highlighted challenges and opportunities in RPA strategy, investigated the current state of RPA across industries, and mapped out ways in which Altair Monarch can be a complementary solution to current and future RPA deployments.
Stephen Smay, Altair Solution Specialist Director and expert in RPA troubleshooting, discussed the questions businesses working with RPA need to ask in 2021:
-Whether you’re implementing or integrating RPA into your systems, careful consideration of the pre- and post- processing gaps in data preparation/formatting is crucial. Where are some common areas to find efficiency?
-What are the key things to expect in the world of RPA in the next year?
-What are the most common challenges with RPA today?
Webinars
Information Optimization Keeps Edwards Air Force Base Mission-Ready
The 412th Maintenance Group (MXG) provides maintenance, as well as Logistics Test and Evaluation (LT&E) support, for the U.S. Air Force, Department of Defense, Foreign Military Sales, and contractor aircraft at the Air Force Flight Test Center (AFFTC). The AFFTC is the Air Force Material Command center for excellence of research, development, testing and evaluation of aerospace systems for the United States and its allies. The mission of the Training Division is the planning, administration, development, instruction and evaluation of a training and readiness program for military members and civilian employees within the 412th MXG.
Customer Stories
Data-Driven Warranty Risk Profile Analysis
Most manufacturers must handle large numbers of warranty claims related to a variety of products and components. The volume of claims can easily run to millions per year for consumer goods manufacturers. Patterns within claims data may indicate emerging quality or design problems; therefore, identifying and prioritizing the issues requiring high priority responses is critical to improving quality and reducing the financial impact of claims.
This solutions flyer how advanced data analytics tools enable teams to cleanse and organize data from any set of repositories and apply machine learning technology to identify emerging quality or design issues.
Use Cases
The Data Driven Enterprise, Panel Discussion
The panelists for this discussion hosted by Altair CTO Sam Mahalingam, are Joshua Patterson, Sr. Director of Engineering at NVIDIA, Dr. Carsten Bange, Founder & CEO of BARC, Juan Orlandini, Chief Architect, Cloud and Data Center Transformation at Insight, and Carsten Buchholz, Project Engineer - Hybrid Electric Flight Demonstrator bei Rolls-Royce.
Transforming an organization into a data-driven enterprise isn’t simply a change in how data is used, it’s a fundamental culture shift that requires more than just access to data. What analytic capabilities and tools are needed across an organization to leverage data across an enterprise? How is data-literacy accomplished throughout the workforce? How can competing business needs, decentralized environments and resulting data silos be overcome? Our panel will discuss roadblocks and best practices for enterprises to successfully move data to the center of decision-making.
The recording is about 35 minutes long, and was presented at the 2020 Global Altair Technology conference.
Global ATC 2020
Analytics in a No Code World
In this presentation, Mark Do Cuoto, Vice President Data Analytics at Altair, discusses the complexities of Machine Learning and AI. Academia is teaching students how to code in R and Python to build out these ML/AI solutions. Join me to hear how Altair is bringing Data Analytics to the masses through a No Coding environment. The future for ML/AI is now and Altair is here to show you how everyone can take advantage of it.
The recording is about 14 minutes long, and was presented at the 2020 Global Altair Technology conference.
Global ATC 2020
Future of Operational Analysis
Bruce Zulu, Director of Technical Support, Panopticon, Altair, discusses how over the past few years modern analytics and business intelligence (BI) have focused much more heavily on the full analytic workflow which includes data preparation, data management, visual exploration and Machine learning with the emphasis on self-service analytics.
The ideal customer solution leverages existing technology together with modern techniques and methods. In this talk we look at how organizations position themselves to gain a competitive advantage from modern BI, AI and Cloud, generating insights from massive amounts of data much more quickly and with greater efficiency and cost saving. How do customers build an efficient vendor strategy and leadership position?
The recording is almost 12 minutes long, and was presented at the 2020 Global Altair Technology conference.
Global ATC 2020
Climbing Data Mountains
Are you on the mountain or in the valley? Learn how The Fauquier Bank uses its data assets to decrease expenses, boost process efficiency, and improve data governance with automated and repeatable data models. Several examples will show the ease of bringing data together from a variety of locations such as cold storage, data warehouse, and the company network.
Global ATC 2020
The Next Generation Data Scientist
Gartner recently released their 'Top 10 Data & Analytics Trends for 2020' where they stated that "the collision of data and analytics will increase interaction and collaboration between historically separate data and analytics roles. This impacts not only the technologies and capabilities provided, but also the people and processes that support and use them. The spectrum of roles will extend from traditional data and analytics to information explorer and citizen developer as examples".
With Forbes predicting that there will be a shortage of at least 250,000 data scientists in the US alone by 2024, how will our data-driven enterprises survive? Should we empower citizen data scientists and embody a data democratisation approach or is there a better way to optimise our data science teams?
Join us as we discuss 'The Next Generation Data Scientist’ with our expert panel.
Discussion Points:
What type of person is the Next Generation Data Scientist? How can organisations develop these highly prized people?
Can you explain one of the most advanced data science projects in your organisation and some of the stumbling blocks you have encountered along the way?
What do you see as the most pressing trend in data science? If you had to boil it down to one sentence, what is the most important thing organisations should do to stay ahead of the competition?
Webinars
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
Financial Fraud Mitigation with Data Analytics
Fraud mitigation requires technologies and business processes that are flexible in their construct, easily understood by all who are involved in fraud prevention, and are agile enough to adapt to new attacks without needing to be rebuilt from scratch.
Data from all business units and functional silos must be included to create a holistic view of the success of fraud operations. The insight found in classical auditing techniques and predictive machine learning models, combined with the expertise of fraud analysts can foster an evidenced-based methodology to quickly respond to new financial crimes.
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
Climbing Data Mountains
Are you on the mountain or in the valley? Learn how The Fauquier Bank uses its data assets to decrease expenses, boost process efficiency, and improve data governance with automated and repeatable data models. Several examples will show the ease of bringing data together from a variety of locations such as cold storage, data warehouse, and the company network.
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
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.
Data Anaytics Summit 2020
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.
Data Anaytics Summit 2020
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.
Data Anaytics Summit 2020
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.
Data Anaytics Summit 2020
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.
Data Anaytics Summit 2020
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.
Data Anaytics Summit 2020
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.
Data Anaytics Summit 2020
Self Service Data Transformation in the Federal Government: A Look at Maintenance, Accounting, and Criminal Investigation Analytics
Explore how Altair’s self-service data analytics platform enables people of all skill levels to access, generate, and use smart data to make insightful, informed decisions. We’ll be joined by our solution specialist to see how different federal government data sets, including maintenance analytics data, accounting data and criminal investigation data, can be easily transformed and business processes automated.
Data Anaytics Summit 2020
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.
Data Anaytics Summit 2020
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.
Data Anaytics Summit 2020
Service Pack Optimization
Extended warranties, service contracts, out-of-warranty repair service fees, and other service packs condition customer responses to additional offers and mitigate production quality issues. They can also help modulate demand to match it with the company’s service-delivery capabilities. Deciding how to optimally package and price service offers helps convert what may be an unprofitable requirement for manufacturers into a significant income generator.
This solutions flyer explores the benefits of optimizing service packs to improve profitability, customer loyalty, and increase sales and the methods and technologies that make the optimization process more efficient.
Brochures