Webinars

Webinars

  • Decoding Data Automation With Cloud-Native Analytics Pipeline and MLOps

    At the core, Machine Learning Operations (MLOps) takes an experimental machine learning model into a production system. MLOps is an emerging practice distinct from traditional DevOps. ML lifecycle involves using patterns from training data, making MLOps workflow sensitive to data changes, volumes, and quality. Additionally, matured MLOps should support monitoring both ML lifecycle activities and production model monitoring. Key Takeaways: • Build cloud-native serverless analytics pipeline. • Learning different data automation pattern including data lake, lake house and data mesh architecture. • Automate end-to-end data pipeline with MLOps. Read More

  • Enabling Data Accessibility

    The amount of data that organizations collect has grown tremendously over the last decade. With this comes increasing challenges for organizations in the way that they store, access and govern data effectively so the correct groups of people have access to the data they need. Yet, many of the traditional ways of dealing with data create bottlenecks, silos and data trust issues. Through providing more widespread access and control of data – known as democratization -- companies can remove the bottleneck to data access, improve employee knowledge and remove data silos. In this panel, experts discuss the technologies and tools that can help make data accessible, usable and manageable for a wide range of users and stakeholders. Join us to hear about: --Business intelligence and analytics tools --Self-service analytics --Data virtualization --Data visualization --Augmented analytics Read More

  • Role of Artificial Intelligence in Data Democratization

    Data Democratization is the final frontier of employee empowerment. Citizen developers are a widely discussed topic, but what about citizen analysts? Analytics can be an indispensable asset from the C-suite all the way to the frontline worker. But there are several challenges executives and non-technical users face in leveraging data for decision-making. How can AI help in democratizing data and transform your organization into a data-driven organization? Join AI industry analyst Kashyap Kompella in this fast-paced webinar on the current state of data democratization, its challenges, and the best practices of leveraging AI. Key Takeaways • Executive overview of the what, why, and how of data democratization. • Rationale and role of AI for data democratization, including: o How AI can drive adoption of self-service analytics; o How AI can enhance the user experience for analytics applications; o How AI can improve data protection and privacy practices • Use cases of examples of AI for data democratization. Read More

  • Seamless Customer Onboarding: Fact verses Friction

    During H1 2021 alone, financial institutions have already been fined over $2 billion. This has been partly due to failures in risk identification and by not having effective AML and KYC in place to monitor accounts. However, customer onboarding is getting tricky as regulations vary across industry and by region; Join us to learn about best practices for customer onboarding, and continuous trust. Takeaways -Learn about the challenges posed by regulation -Get industry best practice hints and ideas -Reduce onboarding fraud whilst minimizing friction Read More

  • Frictionless and Secure KYC with Data-Centric Zero Trust

    Learn about how protecting your data can actually expand your business. Data-centric zero trust opens up new workflows for KYC and source of wealth validation, broker to customer direct transactions, transaction insights, customer support, and on-prem to hybrid cloud data transfer. Protect against ransomware extortion while staying compliant with data residency, a chain of custody, and right to forget. Gain an understanding of how a data-centric cyber solution will keep your data safe when your network is hacked and allow you to reduce costs while expanding opportunities. Read More

  • From Excessive Data Center Energy to Modular, Generative & Sustainable Designs

    The exponential growth of data and cloud services is driving demand for new data centers and upgrades to existing centers. But this growth cannot be sustained without considering the need to develop efficient Data Centers: they have to consume less energy and water and increasingly need to rely on green energies. This presentation will investigate system engineering approaches which break the siloes between the different domains (building / cooling system / racks…). We highlight system level models that leverage simulation to find the best design compromise and reach sustainability targets. Bringing smart automation to this approach is key to efficiently optimize and test several rack layouts and configurations while monitoring KPIs. To further improve on sustainability and energy efficiency, 3D simulation solutions can complement 1D methods, delivering the needed detail and granularity in results to drive impactful changes. Read More

  • Improve Customer Loyalty With Payments Data

    Within the future of fintech, a few things remain constant: - Need for a scalable infrastructure - Seamless payment experience - Customer insights and choice As choice becomes even more abundant, so does the need to delight customers at every purchase. Given today’s “cancel culture,” slow processing speeds, complicated checkout experiences, and overall inefficiency can quickly lead to customer churn. Nithin Bose, VP of Customer Success at Very Good Security (VGS) and Chintan Sanghavi, Sr Solutions Architect at Amazon Web Services (AWS) are bringing several customers to discuss how they are utilizing VGS and AWS to securely leverage payments data, increase transaction throughput, reduce cost per transaction, and improve customer experience. Tune in to hear how industry leaders like Matteo Gamba and Ram Bajaj are optimizing data to improve their business…one customer at a time. Read More

  • Best Practices to Modernize Your Data Architecture

    Organizations need to keep up with the breakneck speed of business, but are inhibited by legacy technologies. In this session, David Loshin, President of Knowledge Integrity, and Henry Tam, Solution Marketing at Redis, will provide best practices for how to modernize data architectures to deliver transformational changes rapidly and non-disruptively. Read More