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Data Platform Economics: Measuring and Improving Cost-per-Query in Snowflake

Nov 14, 2024 By Unravel In Unravel
80% of data management experts struggle to forecast data-related cloud costs with precision (Forrester). The root causes? A critical shortage of granular visibility needed for accurate cost allocation, fragmented data siloed away from those who need it most, and a notable absence of AI-driven tools and automated processes capable of predicting future expenditures. Streamline your approach to cloud cost management and data operations with Unravel. Move beyond mere observation to take immediate, impactful action for transformative results.
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appian

How to Improve Customer Experience with AI: 3 Strategies for Success

Nov 14, 2024 By Roland Alston In Appian
In today's hyperconnected world, where negative reviews on social media can wreak havoc on a company’s reputation, delivering an exceptional customer experience isn't just a luxury—it's a business imperative. Companies are locked in a fierce battle for customers that is primarily based on their ability to deliver outstanding customer experiences (CX). According to research by The Conference Board, 65% of CEOs globally prioritize investing in strategies to improve CX.
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kong

Faster Config Updates in Hybrid Mode with Incremental Config Sync

Nov 14, 2024 By Silvano Luciani In Kong
In Kong Gateway 2.0, we released Hybrid Mode, also known as Control Plane/Data Plane separation. With it, our customers could efficiently and securely deploy clusters of Kong Gateway Dataplanes on their on-prem, private, and public clouds in any combination they wanted, and they could control the entire cluster from a single point, the Control Plane. Hybrid Mode became instantly popular with all our customers with large and varied deployments, due to the increased flexibility and ease of management.
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Cigniti

Unlocking the Power of Explainable AI in Wealth Management: A Strategic Imperative

Nov 14, 2024 By About Cigniti (A Coforge Company) In Cigniti
Artificial Intelligence (AI) is revolutionizing industries globally, and wealth management is no exception. As firms explore innovative ways to enhance customer experience and streamline operations, a critical hurdle looms – trust. The complex algorithms driving AI decisions can be a black box for stakeholders, particularly in a heavily regulated and trust-driven industry like wealth management. This is where Explainable AI (XAI) steps in as a game changer.
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integrate

Low-Code Data Integration for Enterprise Salesforce Architects

Nov 14, 2024 By Donal Tobin In Integrate
In large enterprises, Salesforce Architects play a critical role in ensuring data flows seamlessly into Salesforce from various sources. However, data integration in these complex environments can be challenging, particularly when technical tools like MuleSoft are already in place. While powerful, MuleSoft often requires heavy reliance on development teams, which slows down data projects and creates bottlenecks.
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astera

Bank Statement Extraction: Software, Benefits, and Use Cases

Nov 14, 2024 By Usman Hasan Khan In Astera
Bank statements contain useful financial information that can be turned into important insights. With the era of manual bank statement extraction firmly in the past, intelligent document processing (IDP) and artificial intelligence (AI) offer a better way of processing bank statements and obtaining the valuable data they contain.
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cloudera

Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Nov 14, 2024 By Navita Sood In Cloudera
We are excited to announce the acquisition of Octopai, a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights.
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ClearML

Feature Spotlight: Hyper-datasets for Unstructured Visual Data

Nov 14, 2024 By ClearML In ClearML
ClearML’s end-to-end AI Platform supports AI builders through every stage of the process, from data preparation and management to experimentation, deployment, and performance monitoring. At the heart of ClearML’s data management capabilities is its unique approach to visual data handling, known as Hyper-datasets. We’re sure you know all about the importance of data versioning, but here’s a quick reminder: effective data management is essential for.
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