Klarna’s AI Chatbot Replaces 700 Human Customer Service Agents
Analytics Vidhya
FEBRUARY 28, 2024
In just its first month, the AI chatbot has transformed customer service operations, handling the workload equivalent to 700 full-time agents.
Analytics Vidhya
FEBRUARY 28, 2024
In just its first month, the AI chatbot has transformed customer service operations, handling the workload equivalent to 700 full-time agents.
AWS Big Data
APRIL 17, 2024
Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. Amazon Redshift delivers up to 4.9 times lower cost per user and up to 7.9
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Analytics Vidhya
FEBRUARY 22, 2024
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.
Analytics Vidhya
JUNE 20, 2023
The rapid advancement of artificial intelligence (AI) technology has brought about a transformative shift in customer service and support, especially with the introduction of chatbots. Industries spanning telecommunications, insurance, banking, utilities, and government agencies are poised to embrace AI-powered solutions in the coming years.
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Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.
Analytics Vidhya
JULY 29, 2022
According to the IDC report, the world will spend $160 billion on cloud services and infrastructure in 2018. The post Different Types of Cloud-based Services appeared first on Analytics Vidhya. By 2025, 83% of enterprise workloads will be in the cloud. The cloud encompasses a […].
Analytics Vidhya
SEPTEMBER 17, 2023
Generative AI is capable […] The post AI for Customer Service | Top 10 Use Cases appeared first on Analytics Vidhya. The more efficient system in such a scenario is generative AI-based compared to traditional ones of humans.
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Which sophisticated analytics capabilities can give your application a competitive edge? In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence.
Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale
Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. Driving a self-service analytics culture with a semantic layer. Using predictive/prescriptive analytics, given the available data.
Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale
Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.
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In this migration playbook, you will get: A step-by-step guide on how to migrate Hadoop to the data lakehouse with Dremio Breakdown of benefits from each phase of the migrations An understanding of why self-service analytics for data consumers should be a top priority
Advertiser: Data Robot
Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations.
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The third annual Dresner Advisory Services’ 2019 Wisdom of Crowds® Data Catalog Market Study explores the strong link between data catalogs and successful BI usage. In the report, learn about the core set of capabilities that make data catalogs critical for self-service analytics.
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Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.
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.
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