O'Reilly on Data

NOVEMBER 21, 2018

The O’Reilly Data Show Podcast: Vitaly Gordon on the rise of automation tools in data science. In this episode of the Data Show , I spoke with Vitaly Gordon , VP of data science and engineering at Salesforce. As the use of machine learning becomes more widespread, we need tools that will allow data scientists to scale so they can tackle many more problems and help many more people.

Data Science 254

Data Science Enterprise Machine Learning Structured Data 254

David Menninger's Analyst Perspectives

NOVEMBER 21, 2018

Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds". Pushing the envelope in data capabilities and access, Tableau introduced the "Ask Data" feature, allowing users to prose natural language queries and receive a response, along with new data preparation capabilities and other enhancements to help data analysts.

Data Lake 124

Data Lake Data Integration Data Governance Software 124

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. And it doesn’t help reduce the confusion when every tech vendor rebrands their products as AI. So, what do these terms really mean? What are overlaps and differences? And most importantly, what can this do for your business?

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

Data Science and Beyond

NOVEMBER 19, 2018

One of the main projects I’ve been working on over the past year. A generalized machine learning pipeline, pipe serves the entire company and helps Automatticians seamlessly build and deploy machine learning models to predict the likelihood that a given event may occur, e.g., installing a plugin, purchasing a plan, or churning… Read more on data.

Machine Learning 69

Machine Learning Modeling 69

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.

Experimentation

BI-Survey

NOVEMBER 19, 2018

S mall companies are more likely than large or mid-sized companies to implement BI tools and data warehouses in the cloud. Cloud BI components, by company size (number of employees), n=170. Furthermore, small companies are more likely to use the public cloud than private or hybrid clouds and tools to integrate cloud applications. This makes sense because many small companies may not have a legacy BI/data warehouse environment and internal data center or the IT staff that can build something in-

Data Warehouse 66

Data Warehouse Reporting Risk Optimization 66

Bruno Aziza

NOVEMBER 18, 2018

In today’s highly competitive investments markets, asset managers are increasingly turning to so-called "alternative data" sources to deliver superior returns.

Management 46

Management Marketing 46

Paul Turley

NOVEMBER 21, 2018

This is a question that comes up all the time. Power BI licensing is not complicated but a common challenge is that the person who sets up a new Power BI subscription and tenant within an organization is often not the same person who manages Office 365 or Azure service licensing for the organization. I’ve consulted on projects for several organizations where folks just didn’t know who to talk to or how to proceed after testing the water with Power BI.

Consulting 40

Consulting Testing Reporting Management 40

Smarten

NOVEMBER 19, 2018

The process of predictive analytics has come far in the past decade. No longer is this process the sole responsibility of data scientists or IT staff. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Predictive analytics is the process of forecasting or predicting business results for planning purposes.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

3AG Systems

NOVEMBER 19, 2018

-NEW- Questions about this visual? Book an in-person call with our team now. This Power BI custom visual is designed for easily comparing category data. It is built for reporting actual, forecast, planned, and previous year data and allows users to quickly identify when a series deviates from its baseline. Influenced by IBCS , this Power BI dashboard applied information density principles including the sparing use of colors.

Forecasting 40

Forecasting Visualization Dashboards Reporting 40

Cloudera

NOVEMBER 19, 2018

My inspiration for writing this blog was a recent trip to a warehouse and distribution center of a well-known U.S. fast-food enterprise with a reputation for superior quality. During my visit, I had the opportunity to chat with the center’s Manager for Food Safety whose credentials (Ph.D. in Food Science), knowledge, and experience reflect the company’s commitment to product safety and quality.

Digital Transformation 40

Digital Transformation IoT Cost-Benefit Uncertainty 40

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Nutanix

NOVEMBER 20, 2018

It’s becoming a story we’re all too familiar with: even one cloud security incident, usually arising out of a badly implemented cloud compliance policy can send a company on a downward spiral with legal fees, customer anger (or worse, customer loss), and bad press.

20

20

Smarten

NOVEMBER 19, 2018

Smart Data Visualization Makes Your Users Smarter! What on earth is smart data visualization? Is it a computer that actually ‘sees’ data for you and does the analysis? Not quite. Sorry to say that even with advanced analytics that provides smart data visualization, you will have to do SOME work, but fortunately, you will not have to guess!

Visualization 40

Visualization IT Machine Learning Software 40

Insight

NOVEMBER 19, 2018

Taking Infrastructure to the Next Level DevOps workflow by jdiazmx, distributed under a CC-BY 4.0 license. Cheuk Lau was an Insight Fellow in Fall 2018, where he automated the deployment of a web app across multiple availability zones. He is now working at Bosch helping them build the infrastructure for their artificial intelligence team. Prior to Insight, Cheuk was a Computational Physicist at Lawrence Livermore National Lab.

Metrics 59

Metrics Software Data Processing Publishing 59

Juice Analytics

NOVEMBER 20, 2018

We’re continuing our tradition of the annual data gift guide. These are some of our favorite books and gift ideas for the data scientist, designer or analyst in your life. While you’re here take a look at the Juicebox product page to see what it looks like unwrapped. Happy Holidays! New Books We Love. Books we read in 2018. The Global Economy as You've Never Seen It: 99 Ingenious Infographics That Put It All Together - A pretty interesting way of explaining a subject using infographics.

Visualization 40

Visualization Statistics Big Data Interactive 40

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.

Testing