Thu.Jul 04, 2019

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Don’t Miss out on these 24 Amazing Python Libraries for Data Science

Analytics Vidhya

Overview Check out our pick of the top 24 Python libraries for data science We’ve divided these libraries into various data science functions, such. The post Don’t Miss out on these 24 Amazing Python Libraries for Data Science appeared first on Analytics Vidhya.

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7 Fundamental Steps to Complete a Data Project

Dataiku

It's hard to know where to start once you’ve decided that yes, you want to dive into the fascinating world of data and AI. Just looking at all the technologies you have to understand and all the tools you’re supposed to master is enough to make your dizzy.

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Drillthrough from Power BI to an SSRS Paginated Report

Paul Turley

Navigating from a Power BI report to an SSRS Paginated report with filters and parameters. This recipe primarily involves Power BI report design techniques. I’m not going to get into the details of Power BI report design but will cover the basics with a partially-completed report to get you started. If you are less-experienced with Power BI you can use this as an example for future report projects.

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Join us at SAP Innovation Day Kenya!

Timo Elliott

In a couple of weeks, I’ll be heading off to Nairobi, Kenya, to keynote the SAP Innovation Day on July 18th. I’ll be explaining how organizations can optimize every experience that matters using the latest technologies, as part of their Intelligent Enterprise digital transformations. Innovation is moving at the speed of light, and our job is to show you how to move with it, how to arm your business for a brighter future with new levels of agility and resilience, and how to accelerate

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Cross Sell Transformation for a Leading Financial Services Firm

bridgei2i

Case study. Cross Sell Transformation for a Leading Financial Services Firm. Business Context. Our Client, one of the largest financial services company in India, has a large portfolio of products in the personal finance space. The client wanted to grow customer base by improving cross sell to increase the number of products per customer as per his needs and requirements.

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Analytics and its effect on data dissemination and ecommerce

Smart Data Collective

When it comes to understanding all the contributing factors and advanced innovations of the impending digital era , it is more than fair to say that we are all striving to contribute in our own way. For some, that means teaching themselves how to code. For others, it is taking on the commitment of a post-graduate program in AI and ML. No matter what one’s individual contribution to the ever-looming digital era, seemingly big or small, the point remains the same: we are propelling towards the dig

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Machine learning-based Sell-In Forecasting for Consumer Electronics

bridgei2i

Case study. Machine learning-based Sell-In Forecasting for Consumer Electronics. Business Context. The client, a Korean MNC that designs, manufactures and markets Home Appliances such as Refrigerators, Washers, and Microwaves and operates as over 100 subsidiaries globally. With over 2000 products and a channel-focused Supply Chain planning approach, our Client wanted accurate Supply Chain Forecast for optimal product-availability within 8-week lead-times.

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Increased Sell-Through Accuracy Using Forecasting Engine

bridgei2i

Case study. Increased Sell-Through Accuracy Using Forecasting Engine. Business Context. The client, a Fortune 500 global enterprise technology hardware manufacturer, was generating about 50,000 different forecasts at a monthly level from its distributor network spread across 120 countries. Using sophisticated Demand Planning software could only provide a 3-month accuracy of about 45% however, the client needed improved accuracy and a more powerful demand forecasting application.

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Pricing Optimization for a Fortune 500 Consumer & Professional Products Company

bridgei2i

Case study. Pricing Optimization for a Fortune 500 Consumer & Professional Products Company. Business Context. Our Fortune 500 American client is a manufacturer and marketer of hygiene & health-care products, and compete in a cut-throat marketplace with highly dynamic pricing regimes. In a market swamped with e-commerce companies, retailers, private labels, and other competition irrespective of their geographies, price anomalies can be challenging.

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Improving the Customer Experience of Unassisted Support Channels for a Global Electronics Giant

bridgei2i

Invest now to Improve Customer Experience for Your Clients. Our 360-degree Customer Watchtower Simplifies Challenges Exponentially. About the Client. Our client, a global consumer electronics giant, was looking to reduce dependencies on assisted support channels and increase the use of online functions and automated channels. What BRIDGEi2i did? BRIDGEi2i partnered with the client to deploy advanced AI algorithms that use a combination of exploratory analysis, web analytics, and Natural Language

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Sales Bookings Forecasting Engine for a Global Cloud and Virtualization Major

bridgei2i

Case study. Sales Bookings Forecasting Engine for a Global Cloud and Virtualization Major. Business Context. Our client, a global cloud and virtualization major, was looking to achieve a B2B revenue forecast from disparate sources—several tiers of the organization, a dynamic competitor landscape and varying density of data and mix of products at different life stages.