Mon.Jan 18, 2021

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Fostering community to help drive cultural change

Cloudera

2020 put on full display how humanity shows up in times of hardship. We saw everything from street celebrations to usher weary medical personnel home after long days fighting to save lives to places like food banks receiving more donations and volunteers than ever before. Some communities were harder hit than others, and we’ve seen the same in the global workplace.

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ML Interpretability using LIME in R

Analytics Vidhya

ArticleVideos Overview Merely building the model is not enough without stakeholders not being to interpret the outputs of your model In this article, understand. The post ML Interpretability using LIME in R appeared first on Analytics Vidhya.

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The Art of Collaborative Data Science at Scale

Dataiku

As data science, machine learning, and AI have become increasingly popular and competition begins to rise, companies are facing larger-scale projects and need to know where to focus their energy. According to polling results from a Gartner webinar in May 2020 , the majority of organizations have been maintaining or even increasing their investments in AI throughout the COVID-19 crisis.

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Leveraging Data Analytics for YouTube SEO for Maximum Visibility

Smart Data Collective

Big data is at the core of any competent marketing strategy. We have talked before about the importance of merging big data with SEO. However, we mostly talked about using data-driven SEO to drive traffic to your money site. Big data SEO strategies can also be very effective with YouTube marketing. Big Data is at the Core of Your YouTube SEO Strategy.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Planning Your Migration to Microsoft D365 F&SCM

Jet Global

Over the past few years, software vendors moved their applications to the cloud. Microsoft committed heavily to the cloud across all its product lines, including the Dynamics family of ERP and CRM solutions. That will mean an eventual migration to the cloud for customers of Microsoft Dynamics AX, Microsoft Dynamics CRM, and the legacy Microsoft GP, SL, and NAV products.

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C and C++ Are Surprisingly Useful for Data Science Applications

Smart Data Collective

We recently heard from a number of C and C++ experts talk about its merits with data science. Cristiano L. Fontana of OpenSource.com talked about some of these benefits in a recent article. Here is an excerpt from this post: “While languages like Python and R are increasingly popular for data science, C and C++ can be a strong choice for efficient and effective data science.

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How Microsoft is Reactivating its Workforce During The Pandemic

Timo Elliott

I recently had the opportunity to interview Kurt DelBene , Executive Vice President of Corporate Strategy and Core Services, Engineering and Operations for Microsoft, as part of the SAP Think Tank Initiative , a collaboration by SAP and our global partners to share best practices and lessons learned as organizations try to get back to business in a COVID-19 world.

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Digital Payments Data Drives Increased Usage and Customer Retention

Teradata

Payment data drives opportunities to increase usage & prevent attrition through hyper-segmentation, personalized interactions & optimized rewards programs. Read more.

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Subrogation Prediction Using Machine Learning for Property Insurance

bridgei2i

Case study: Subrogation Prediction Using Machine Learning for Property Insurance. Business Context. The client, a leading P&C insurer, wanted to identify property damage claims that have the potential for subrogation & recovery. They also wanted to generate automated referral reports on a weekly basis for further investigation. How BRIDGEi2i Delivered Value?

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The Pain of Forecasting and How to End It!

Paris Technologies

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Underwriting Process Automation for M&A Insurance

bridgei2i

Case study: Underwriting Process Automation for M&A Insurance. Business Context. The client, a leading commercial insurer in North America, was looking to reduce the deal processing time of policies by automating the retrieval of specific information from various documents and boost conversions. How BRIDGEi2i Delivered Value? BRIDGEi2i extensively used Computer Vision (CV), Optical Character Recognition (OCR) & Natural language Processing (NLP) to extract information from voluminous data

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The Pain of Forecasting and How to Salve It!

Paris Technologies

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Sales Growth with Ai-Driven Product Recommendation Framework for a P&C Insurer

bridgei2i

Case study: Sales Growth with Ai-Driven Product Recommendation Framework for a P&C Insurer. Business Context. The client, a leading North American P&C commercial insurer, wanted to develop and implement an AI-driven product recommendation solution for cross-selling to existing customers. How BRIDGEi2i Delivered Value? BRIDGEi2i identified the next best products using machine learning models and built an AI solution that could be integrated with the campaign strategy.

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Docker Tools Accelerate Advances in AI Technology in 2021

Smart Data Collective

Machine learning and other forms of artificial intelligence are shaping our lives in countless ways. As more organizations consider exploring the countless benefits of artificial intelligence technology, developers are looking for more cutting-edge solutions to address their needs. Docker is one of the newest technological evolutions in the field of computer science.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Evaluating Accident Damages to Vehicles Using Computer Vision Technology

bridgei2i

Case study: Evaluating Accident Damages to Vehicles Using Computer Vision Technology. Business Context. The client, a leading auto insurer, wanted to develop an automated solution to assess the severity of damage to vehicles involved in accidents, using captured images to fast track claims payments. How BRIDGEi2i Delivered Value? BRIDGEi2i deployed multiple deep learning models developed by combining damaged car data derived from historical claims, and external non-damaged car images to estimate