What will happen to companies who don't embrace data? What do the next five years hold? What's the difference between AI and machine learning? Steve Ardire and Adam Gabriel tackle these questions and more during this special post-event Facebook Live session.
In this first episode of Making Data Simple, we welcome Daniel Hernandez, VP of IBM Analytics Offering Management, who helps us navigate "the big data problem" and shares why he doesn't like the term "big data."
For the first time in human experience, there’s the opportunity to transform a city by listening to all of its inhabitants, individually. That’s the mission of the Jakarta Smart City (JSC) project, and it’s a major challenge in a district of some 10 million residents.
There’s no doubt data science and machine learning are main areas of focus for enterprises to better their business. However, talking about data science and machine learning isn’t the same as making it a reality.
At a time when data breaches and personalized, sensitive data leaks are receiving great focus, individuals and governments alike are pushing hard on the business community to do more to protect citizens' rights and the sensitive customer data these companies maintain.
In today’s energy industry, one of the key priorities is finding new ways to cost efficiently keep up with insatiable demands for power, while also delivering renewable energy. You must be able to predict when events will occur and make the first move. Being first to respond to customer or market
Some people think of master data management (MDM) purely as a platform for organizing and mobilizing enterprise information. While this is true, leading companies view MDM more as a philosophy or a set of best practices, not just a suite of software tools.
Typically, ingesting streaming event data, persisting with low latency and analyzing it along with historical event data requires integrating multiple analytic systems. IBM EventStore is purpose built to simplify the complexity of harnessing event data with a single system. Its unique architecture
Data already is the new currency and is at the heart of everything digital. I like to repeat the adage, “Data becomes Information, becomes Knowledge, becomes Wisdom”. And “It’s all about the data”. So why do we send up probes, sensors or satellites — for the data?
On June 13th 2017, Hortonworks and IBM announced an extension of our partnership. A key part of this partnership is the collaboration on IBM Data Science Experience (DSX). This collaboration is win-win in that it brings a production-ready full-cycle data science experience to Hortonworks Data