Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons. The reasons are that we all like complexity, it gives us energy :), we tend to be logical, and we often treat data output as the end when in reality the data output is jus

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

The Unofficial Google Data Science Blog

JANUARY 31, 2017

By OMKAR MURALIDHARAN, NIALL CARDIN, TODD PHILLIPS, AMIR NAJMI Given recent advances and interest in machine learning, those of us with traditional statistical training have had occasion to ponder the similarities and differences between the fields. Many of the distinctions are due to culture and tooling, but there are also differences in thinking which run deeper.

Machine Learning 74

Machine Learning Modeling Statistics Predictive Modeling 74

Bruno Aziza

JANUARY 10, 2017

After a half decade of investment, and periods of trial and error, a near majority of business executives now report successful results from their Big Data investments.

Big Data 40

Big Data Reporting Measurement 40

DSI Analytics

JANUARY 20, 2017

These days, even small to mid-sized companies can start getting valuable insights from Big Data within just a few weeks or even days. Of course, there are several flavors of Big Data, most of which fall into the categories of machine generated or customer journey data. There are also many ways to capture and use […]. The post Useful Big Data: The Fastest Way appeared first on DSI Analytics.

Big Data 40

Big Data Analytics Technology 40

Advertiser: ZoomInfo

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

Sales

Jenny Sussin

JANUARY 19, 2017

You’d think after enough political and celebrity scandals this would be obvious to everyone, but alas it’s not. A social analytics vendor that I’ve spent time covering over the years had come under fire last year for what was being referred to as “citizen surveillance.” They’ve definitely suffered the consequences, but I still can’t help but be baffled that people don’t realize that what they’re sharing is on a public forum.

IT 40

IT Sales Enterprise Analytics 40

Martha Bennett

JANUARY 9, 2017

It’s been abundantly clear for a while that in 2017, artificial intelligence (AI) is going to be front and center of vendor marketing as well as enterprise interest. Not that AI is new – it’s been around for decades as a computer science discipline. What’s different now is that advances in technology have made it […].

Marketing 40

Marketing Enterprise Technology IT 40

Nutanix

JANUARY 9, 2017

There’s no question that enterprise application usability has for the most part been left behind.

Enterprise 20

Enterprise 20

Bruno Aziza

JANUARY 9, 2017

In the next four years we will see an explosion of AI technology that further delivers on the promise of driverless cars, intelligent robots, and other societal and job-impacting advancements. The conversation needed is how to, or more precisely, how not to regulate AI.

Technology 40

Technology 40

Data Science and Beyond

JANUARY 8, 2017

Suppose you work for a business that has paying customers. You want to know how much money your customers are likely to spend to inform decisions on customer acquisition and retention budgets. You’ve done a bit of research, and discovered that the figure you want to calculate is commonly called the customer lifetime value. You google the term, and end up on a page with ten results (and probably some ads).

Statistics 100

Statistics Predictive Modeling Modeling Marketing 100

Martha Bennett

JANUARY 9, 2017

It’s been abundantly clear for a while that in 2017, artificial intelligence (AI) is going to be front and center of vendor marketing as well as enterprise interest. Not that AI is new – it’s been around for decades as a computer science discipline. What’s different now is that advances in technology have made it […].

Marketing 40

Marketing Enterprise Technology IT 40

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Testing

Nutanix

JANUARY 6, 2017

There’s no question that enterprise application usability has for the most part been left behind.

Enterprise 20

Enterprise 20