IBM Big Data Hub

JANUARY 24, 2019

A new Forrester Consulting study commissioned by IBM from October 2018 shows that fast data with fast analytics is an enormous, rapidly growing resource that’s not being used to its full potential.

Consulting 78

Consulting Analytics IT 78

erwin

JANUARY 24, 2019

Organizations are responsible for governing more data than ever before, making a strong automation framework a necessity. But what exactly is an automation framework and why does it matter? In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

Domino Data Lab

JANUARY 24, 2019

Reflections. Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. This post describes our observations about these three segments and offers advice for folks evaluating products in this space.

Data Science 65

Data Science Marketing Data-driven Statistics 65

ScienceSoft

JANUARY 24, 2019

Is inventory optimization still your headache? Here, we describe three pills you can take - simple math, statistics and machine or namely deep learning - and show why data science can be your #1 painkiller.

Optimization 40

Optimization Data Science Deep Learning Statistics 40

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Nutanix

JANUARY 24, 2019

We recently concluded a whirlwind three days at the National Retail Federation (NRF) conference in New York, where we had great conversations with retailers and suppliers of all types.

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Smarten

JANUARY 24, 2019

What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals. With the right tools, today’s average business user can become a Citizen Data Scientist , using data integrated from various sources to learn, test theories and make decisions.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40