Megan Kurka, Vice President, Customer Data Scientist, H2O.ai H2O Open Source GenAI World SF 2023 Discover the transformative power of Applied Gen AI. Learn how the H2O team builds customized applications and workflows that integrate capabilities of Gen AI and AutoML specifically designed to address and enhance financial use cases. Explore real world examples, learn best practices, and witness firsthand how our innovative solutions are reshaping the landscape of finance technology.
The document discusses how a company called LGM Wealth Management was able to greatly reduce their time to revenue and cost to serve through the use of business mashups. It describes how insurance case management could be improved by capturing both structured and unstructured knowledge in a single shared space. Finally, it proposes how an insurance company could develop configurable insurance policies by defining products as a suite of modular components that customers can customize.
Developers increasingly rely on Salesforce Heroku and AWS services to support rapid, secure development and iteration. Join us in this session to learn how Heroku's visual, team-based continuous delivery workflow brings structure, insight, and simplicity to app development. We explore best practices for building applications composed of both Heroku and AWS data services. You also hear about customer examples and learnings you can use to supercharge the results and productivity of your application development teams. This session is brought to you by AWS partner, Salesforce.
This document summarizes a webinar about building and releasing Lightning components for ISVs. It covered creating a component demo, tips for building components like using the Salesforce Lightning Design System and documenting components. It also discussed distributing components in managed packages and licensing options. Security best practices for Lightning components were reviewed like enforcing CRUD/FLS on the server-side and protecting against malicious scripts.
This document discusses using machine learning and data to drive proactive assurance activities. It proposes developing a quantitative project health score based on metrics and signals from project data to remove subjectivity. Machine learning models would be trained on historical project performance data to predict when a project's health score is deteriorating so that assurance interventions can be performed earlier. This approach aims to move from infrequent, subjective assessments to more objective, data-driven proactive assurance.
The document summarizes key points from a presentation given by Tim Clark of FactPoint about understanding what is "Inside the Buyer's Head" during difficult economic times. Some of the main insights are that buyers are disoriented, focused on cost savings, and want solutions that simplify their lives and enable new revenue sources with fewer resources. The presentation provides lessons for software vendors on focusing on specific needs, value over features, and selling the business benefits rather than just the software capabilities.
Free Sample with 6 tasks out of the 100 Task Playbook by Martin Bell of Bell Ventures. Get your Playbook at www.100tasks.com!
This year, the focus goes beyond technology to mining business insights around how cloud enables strategic industry trends such as Open and Virtual Banking and Insurance, Security and Compliance, Data Analytics and AI/ ML, FinTech and RegTech, Surveillance and more through sharing of best practices and use cases. In sessions led by customers, partners, industry leaders and AWS subject matter experts, you’ll learn how AWS helps financial institutions to focus on the innovation and outcomes that truly drive business forward. Business stakeholders, market makers, and technology owners will all learn something new, valuable and actionable.
Want to learn how to publish and distribute your Lightning Components? Join us to learn the steps for packaging Lighting Components and the process to list them on the Lightning Exchange for Components. In this session, we will discuss tips for packaging Components and best practices for managing versioning.
IBM Cognos Social Media Analytic Solution helps you to analyse the voice of your customer on any user generated content like blog, forum, Facebook Page...etc, so you could easy identify: 1. Who the key influencer - some review/blog writer got 3000 page view in a day, can you leverage him? 2. What's the evolving topic - what's mostly mentioned topic while the user discussing your product/services? 3. what's the best time and best channel to release news? Check more details in the slide and you will know how to unveil the hidden gems!
Elastic Observability is helping organizations drive their mean time to resolution toward zero with end-to-end visibility in a single platform. Hear about the latest features and capabilities at all layers — from ingest to insight — and get a glimpse into where we are headed.
This document discusses key applications for building responsible artificial intelligence in industry. It begins by noting that consumers and enterprises have different AI needs. It then outlines Google's approach to responsible AI, including their AI principles, product and use case reviews, and governance practices. The document discusses several potential use cases for generative AI in communication service providers, including contact center automation, network capacity planning, and creative generation. It provides examples of how generative AI could increase employee and operational efficiency through customer service automation, employee knowledge search, and contract analysis. The document emphasizes the importance of an organization's data governance, security, and responsible AI practices when pursuing a generative AI transformation.
- MongoDB is a document database management system that is recognized as a leader by Gartner. It has over 520 employees, 2500+ customers, and offices globally. - MongoDB ranked 4th in database mindshare according to DB-Engines. It has seen 172% growth in the last 20 months. - Several companies such as a quantitative investment manager, an insurance company, a telecommunications company, and an ecommerce company migrated their systems to MongoDB and saw benefits like 100x faster data retrieval, 50% lower costs, and being able to build applications faster.