Tue.Jul 09, 2019

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Heading for a Data Science Interview? 6 Things to Do 1 Day Before your Interview

Analytics Vidhya

Introduction You’ve finally done it! You have landed an interview for a data science role. Now, a day before your interview, you’re not sure. The post Heading for a Data Science Interview? 6 Things to Do 1 Day Before your Interview appeared first on Analytics Vidhya.

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How To Use Big Data To Deliver Optimized Customer Experiences

Smart Data Collective

Business success begins and ends with customer experience. According to recent studies, 90 percent of buyers would gladly spend more for a better customer experience. That’s exactly why understanding what an improved experience means for customers is so important. Companies have been able to perform more in-depth customer analysis—above and beyond social media commentary and feedback surveys—with the development and proliferation of analytics.

Big Data 110
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Responsible Citizen Data Science. Yes, it is Possible.

DataRobot Blog

by Jen Underwood. To retain market leadership in the algorithm economy, enterprises require new ways to maximize the value of data and AI with citizen data scientists. Don’t think citizen data science is. Read More.

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The Power of Integrated Data and Analytics

Teradata

Integrated data and analytics has a proven track record of helping organize operations, enhance customer experience and improve revenue and market growth.

Analytics 104
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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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Could Women Be The Future of Men?

Bruno Aziza

The Women's World Cup just concluded and the US won a fourth title. If you haven’t seen the celebratory ad Nike produced, "just do it" now. Never before have so many watched women play the “beautiful game”.and you don’t want to be left out!

IT 65
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Data virtualization powers AI across a multicloud environment

IBM Big Data Hub

Data quality. Talent. Trust. Find out how Cloud Pak for Data—with data virtualization—treats these three major pain points when managing your data estate.

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Case Study & White Paper: Sirius Builds a Cloud-Based IoT Platform for Driver Scoring

CDW Research Hub

A tech startup needed help building a scalable data platform that leverages driver data and predictive analytics. They tapped the Sirius Managed Services’ Advanced Applications Group (AAG) to design and implement a production-grade platform that employs telematics on the Amazon Web Services (AWS) cloud. The platform Sirius built leverages IoT sensors to ingest 250,000 transactions per second and run analytics to create real-time driver scores and other analytics.

IoT 40
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What is Virtual Desktop Infrastructure (VDI)?

Nutanix

In this blog, we’ll simplify what virtual desktop infrastructure is, how to deploy it, and how to learn more information about VDI.

IT 20
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Solving the Pain Points of Big Data Management

Cloudera

Every business aims to deliver products and services quickly and efficiently based upon customer wants and needs. Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.

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Data Science at The New York Times

Domino Data Lab

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.