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Klarna’s AI Chatbot Replaces 700 Human Customer Service Agents

Analytics Vidhya

In just its first month, the AI chatbot has transformed customer service operations, handling the workload equivalent to 700 full-time agents.

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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

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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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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AI Software in Call Centers Revolutionizes Customer Service

Analytics Vidhya

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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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

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.

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Different Types of Cloud-based Services

Analytics Vidhya

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 […].

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AI for Customer Service | Top 10 Use Cases

Analytics Vidhya

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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7 Questions Every App Team Should Ask

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.

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How to Democratize Data Across Your Organization Using a Semantic Layer

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.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

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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From Hadoop to Data Lakehouse

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

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How Banks Are Winning with AI and Automated Machine Learning

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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Dresner Advisory Services’ 2019 Wisdom of Crowds Data Catalog Market Study

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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How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

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.

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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.