Across all industries, machine learning and predictive analytics are being leveraged to build apps that create high-value markets. Join GigaSpaces and top industry leaders from ActiveViam, Intel, Crédit Agricole, and Capgemini for a panel discussion and drinks in Paris on March 15, to learn from industry leaders how machine learning can help your organization become more competitive.
During our panel session Accelerating Machine Learning Innovation in your Organization, you will learn how the convergence of insight platforms and machine learning can empower your insights-driven journey in a more efficient and cost-effective agile strategy.
Venue: Hôtel Renaissance, Paris La Defense, 60 Jardin de Valmy, Paris La Defense Cedex
Meet Our Panel
Raul Davidovich, Chief Architect, Insight & Data @Capgemini. Raul will discuss how the real breakthrough of the new data landscape is the ability to insert actionable insights into literally any business activity along every step of the way, with the very best next move. He will explain why he believes it’s more than a business on steroids; it’s a business on insights.
Tony Bordogna, Lead Engineer, Crédit Agricole payment Services, GPCC project @Crédit Agricole. Tony will display how a XAP based In-Memory platform is the cornerstone of the GPCC application, as traditional databases couldn’t handle the load or availability as required, especially during peaks. He will discuss why workflow consistency, event-driven and ease of scalability are the essence of the platform and how you can achieve that by making architectural changes, without touching the code (multiple successful production upgrades).
Fabien Celier, R&D Software Engineer @ActiveViam. Fabien will present a new product that will enable Spark data scientists to discover data insights interactively. He will demo multi-dimensional analysis and visualization, using Excel Table Pivot and ActiveViam’s ActiveUI where Gigaspaces InsightEdge enriches overall platform capabilities.
Tal Doron, Director, Solution Architecture EMEA & APAC @GigaSpaces. Tal will address the claim – If your data isn’t growing then neither is your business. As modern, data-driven enterprises have come to realize, massive data lakes are a complication, not a solution. Tal will explain why the evolution of being data and insight-driven is realized with a converged In-Memory Computing Platform in order to be able to handle massive translytical workloads.