Thu.Jun 13, 2019

article thumbnail

Podcast: The Future of Analytics is Now!

Timo Elliott

I was recently interviewed on the future of analytics by Tamara McCleary, CEO of Thulium, a social media analytics and consulting agency, for her new “Tech Unknown” podcast. You can read her blog post summary or listen to the podcast directly below. We explored the current state of the art for AI/ML-driven analytics and talked about what business leaders can do prepare for what’s to come: Ways AI and ML-driven analytics drive better business outcomes.

article thumbnail

ALTER in PostgreSQL – How to Teach People SQL

The Data School

Learn how to use ALTER to edit columns, tables, and databases

40
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How Salesforce’s Tableau acquisition will impact IT

CIO Business Intelligence

Salesforce.com’s $15.7 billion bid for Tableau Software has many organizations wondering how the proposed acquisition will impact their operations. According to industry analysts, it all depends on how your enterprise makes use of their respective platforms. Users of Salesforce’s CRM platform have all subscribed to its software-as-a-service (SaaS) model, putting their data in the cloud — but the company is only beginning to respond to the demand for sophisticated tools to analyze that data. [ De

IT 111
article thumbnail

MNIST Expanded: 50,000 New Samples Added

Domino Data Lab

This post provided a distilled overview regarding the rediscovery of 50,000 samples within the MNIST dataset. . MNIST: The Potential Danger of Overfitting. Recently, Chhavi Yadav (NYU) and Leon Bottou (Facebook AI Research and NYU) indicated in their paper, “ Cold Case: The Lost MNIST Digits ”, how they reconstructed the MNIST (Modified National Institute of Standards and Technology) dataset and added 50,000 samples to the test set for a total of 60,000 samples.

Testing 83
article thumbnail

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.

article thumbnail

Wallets are Opening for CX Technology

Jenny Sussin

Well ladies and gentlemen, two things we need to address to start this post: That whole goal I had about maintaining a regular blogging schedule? Out the window. That thing that has been a top 5 C-level priority for the past few years, “customer experience,” is getting a lot of tech investment. Our latest survey (client access only) analyzed by four of our customer experience (CX) analysts: Olive Huang , Ed Thompson , Nick Ingelbrecht and Melissa Davis , gave us some great new data s

article thumbnail

AI Simplified: Sports Analytics

DataRobot

Whether it’s building a winning March Madness bracket or predicting who will win the Stanley Cup , sports analytics is an ever growing field within AI and machine learning. Moneyball was a major tipping point for the industry and the opportunities are continuing to grow. “Now, more than a decade and a half after the events of Moneyball the world of sports has evolved by leaps.

More Trending

article thumbnail

Business Users Can Enjoy Self-Serve Data Preparation!

Smarten

The Benefits of Self-Serve Data Prep for YOU and Business Users! I won’t lie to you! The benefits of augmented analytics that includes self-serve data preparation for business users…well, those benefits are truly impressive! So, let’s cut to the chase. With self-serve data preparation tools, you can: Improve business analyst and business user productivity.

article thumbnail

Work Smarter, Not Harder, When Visualizing Data [Guest Post by Esther C. Nolton]

Depict Data Studio

Esther C. Nolton attended one of my data visualization workshops in May 2019, and almost immediately followed up with examples of her own reports and slideshows that she had begun revamping based on what she learned in the session. Friends, Esther’s data visualization edits are game-changing. In one of her presentations, for example, Esther swapped her bullet points for engaging visuals.

article thumbnail

How CASE WHEN works – How to Teach People SQL

The Data School

Learn how to use CASE WHEN to create if then statements within SQL

40
article thumbnail

28 Sales Reports Examples You Can Use For Daily, Weekly or Monthly Reports

datapine

Using daily and/or weekly sales reports with your team may be the single most powerful action you can take to increase your team’s performance. Don’t believe us? We’ll convince you with an example from another sector – fitness. Let’s say a friend of yours has a goal of losing 10 pounds of fat or gaining 5 pounds of muscle, over the next 2 months. Your friend excitedly tells you their plan, and all of the actions they plan to take to achieve their goal.

Sales 264
article thumbnail

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.