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Migrate from Amazon Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink and Amazon Managed Service for Apache Flink Studio

AWS Big Data

Kinesis Data Analytics for SQL has been denoted a legacy offering since 2021 on our marketing pages, the AWS Management Console , and public documentation. However, we continue to actively maintain and patch the offering and support customers using the service. We will continue to undertake these activities.

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Guide on Integrating Azure Services for Enhanced Data Management & Analysis

Analytics Vidhya

This article investigates the […] The post Guide on Integrating Azure Services for Enhanced Data Management & Analysis appeared first on Analytics Vidhya. From new businesses to expansive endeavors, engineers leverage Azure to upgrade their applications with the control of cloud innovation and manufactured insights.

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Clean Email: Organize Your Inbox Using Email Management Services

Analytics Vidhya

Email management services such as […] The post Clean Email: Organize Your Inbox Using Email Management Services appeared first on Analytics Vidhya. The love-hate relationship with your overflowing email inbox can be very frustrating. This is where Clean Email comes in to save the day.

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Manage Amazon OpenSearch Service Visualizations, Alerts, and More with GitHub and Jenkins

AWS Big Data

Amazon OpenSearch Service is a fully managed service for search and analytics. With its scalability, reliability, and ease of use, Amazon OpenSearch Service helps businesses optimize data-driven decisions and improve operational efficiency. Jenkins runs an OpenSearch Service API to deploy changes.

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Building Product to Enhance Customer Support: The Key to Customer Retention in an E-commerce Business

Speaker: Bhavana Angadi, Senior Product Manager at Hopscotch (Demand & Growth) | Former Product Manager at Bigbasket

If you were to ask an E-commerce Product Manager what they would do to increase retention, they might suggest improving engagement by personalization/gamification, or by introducing loyalty programs. In this webinar, Bhavana Angadi, Senior Product Manager at Hopscotch, will teach you: The right ways to communicate with your customer.

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Manage access controls in generative AI-powered search applications using Amazon OpenSearch Service and Amazon Cognito

AWS Big Data

In semantic search, documents are stored as vectors, a numeric representation of the document content, in a vector database such as Amazon OpenSearch Service , and are retrieved by performing similarity search with a vector representation of the search query. The following diagram depicts the solution architecture.

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Financial Services Data Management Made Easy with GenAI and Denodo Platform on AWS

Data Virtualization

The post Financial Services Data Management Made Easy with GenAI and Denodo Platform on AWS appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. However, many organizations face a significant hurdle: the presence of legacy.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations.

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Prioritizing Customer Experience Using SLIs & SLOs: A Case Study from The Telegraph

There was a time when technology managers needed to actively monitor these kinds of granular metrics, but today, these alerts just create distracting noise. Service Level Indicators and Service Level Objectives are now the principal tools for focusing on what really matters. Alert fatigue is a real thing.

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Product Design & Customer Experience: An Innovative View on Inclusive Product Development

Speaker: Dan Jenkins - Human Factors & Research Lead – DCA Design International

The ethical case for more inclusive design is clear, as is the commercial one: more inclusive products and services can be used by more people. More importantly, it is about designing products and services in light of this understanding. Some simple tools to make your products and services more inclusive.

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Up Your Analytics Game: How to Empower People to Take Action

Speaker: Tom Davenport, President’s Distinguished Professor of Information Technology and Management, Babson College

HR leaders in Financial Services are adopting the use of data and analytics faster than many other business functions and job roles. In fact, in a recent survey of 450 Financial Services professionals, 95% of respondents agreed that better integration of HR and Finance data was a top priority for the year. Why is this so important?

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How to Solve 4 Common Challenges of Legacy Information Management

Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo

After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. He will share compelling stories from customers that have chosen a different path, and best practices for Information Management professionals to help them along their way.

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. In this webinar, we'll highlight the critical importance of business and financial acumen in product management. Register now to save your seat!

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ERM Program Fundamentals for Success in the Banking Industry

Speaker: William Hord, Senior VP of Risk & Professional Services

Enterprise Risk Management (ERM) is critical for industry growth in today’s fast-paced and ever-changing risk landscape. When building your ERM program foundation, you need to answer questions like: Do we have robust board and management support?

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.