Technical Deep Dive - Optimize Execution Quality using Cloud Data, Python and Streaming Analytics

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.

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.

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

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.

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.

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.

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.

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

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”.

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.

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. In this webinar, we discuss the benefits of analyzing intraday trading risk, 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 also demonstrate methods for code-free development of sophisticated risk analytics systems that can be customized to fit the unique requirements of a firm, desk, or trader.

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. In this webinar, we discuss the benefits of analyzing intraday trading risk, 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 also demonstrate methods for code-free development of sophisticated risk analytics systems that can be customized to fit the unique requirements of a firm, desk, or trader.