Tue.Nov 12, 2019

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How to Speed up Pandas by 4x with one line of code

KDnuggets

While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep.

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AI’s Impact on Cyber Security

Corinium

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How Using Data For Your Social Media Marketing Campaign Can Help

Smart Data Collective

Did you know there are over 3.5 billion Facebook users? Social media has become the best way to market your brand when you want to reach specific audiences. There are 50,000 or more new posts on Instagram every day, and nearly 500,000 Tweets a day. So how are all these brands becoming so visible overnight? They are using data to target new and previous customers.

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Siemens and IBM showcase an AI-based, CO2 friendly advisor

IBM Big Data Hub

Making the case for AI, or any nascent technology for that matter, can be a struggle for companies today. While large enterprises know they need to be fast, agile and innovation-obsessed to survive disruption, their age-old policies, antiquated systems, disconnected data and entrenched corporate habits can be serious blockers to adoption.

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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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How Big Data And AI Are Driving The CBD Gummies Industry

Smart Data Collective

The CBD industry is growing at an astounding rate. So fast, in fact, that some companies are struggling to keep up with demand. And new companies are cropping up daily to get in on this brand new billion-dollar industry. But as the market becomes flooded with online outlets, it is essential for new companies to make proper use of the highly valuable resources that big data and artificial intelligence can offer.

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What's Missing From Your Visualization Solution? Hint: It’s Not More Features

Juice Analytics

As we watch Tableau and PowerBI pile on new capabilities, it has never been more obvious that the options for visualization tools have become a pile-up of copycat, me-too solutions. It is time for something fundamentally different: We have plenty of visual analysis tools designed for an elite group of data analysts; we need a solution for better data communication that anyone with data can use.

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It’s all about the data – not the algorithm

Andrew White

I have blogged in the past on the importance of data in our AI-infused world emerging around us – see Microsoft Targets Mother of All Professional-People Master Data with LinkedIn Buy. I have explored how some large software vendors have been securing data sources to drive their AI engines; our own team evaluates (every few months) the difference in importance: data or algorithm.

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Go Beyond Predictions. Optimize Business Impact.

DataRobot Blog

by Jen Underwood. Why didn’t I think of that? Sometimes we get caught up in our day-to-day lives and don’t stop to see if we are solving the right, bigger picture problems. That’s. Read More.

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MLOps for production-level machine learning [Nov 14 Webinar]

KDnuggets

This live webinar, Nov 14 @ 12pm EST, on MLOps for production-level machine learning, will detail MLOps, a compound of “machine learning” and “operations”, a practice for collaboration and communication between data scientists and operations professionals to help manage the production machine learning lifecycle. Register now.

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DataCamp is the 36th Fastest-Growing Company on Deloitte’s Technology Fast 500™

DataCamp

DataCamp grew 3,437% from 2015 through 2018.

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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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Understanding NLP and Topic Modeling Part 1

KDnuggets

In this post, we seek to understand why topic modeling is important and how it helps us as data scientists.

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How to Add Dotted Lines to Line Graphs in Microsoft Excel

Depict Data Studio

Here’s a common data visualization challenge: Slides with some, but not all, of the chronological data included. . The Challenge. The challenge is twofold: First, how do you take your bullet points and transform them into a graph? What type of graph should it be? How should it be formatted? How do you make the graph easy to understand? Second, what if your dates don’t go in order?

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Analytics for Data Scientists and Business Users!

Smarten

Analytics for All: You Can Serve Business Users AND Data Scientists! I hope you would agree that every team member in your business is an important and valuable resource. When we talk, in the tech world, about self-serve apps and the concept of cascading analytics to everyone in the organization, managers and team members start to get nervous. Does the use of analytical tools mean that every business user has to become an analyst or a data scientist?