Slideshows

Steve Jobs: 11 Acts Of Vision

Thomas Claburn October 07, 2011 02:00 PM For Steve Jobs, the term 'visionary' doesn't go far enough. Consider these acts of vision--and the will that it took to make them real.

« Previous Page | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Next Page »

E-mail
Share

Founded in 1985 by Steve Jobs following his departure from Apple, NeXT Computer made powerful Unix-based workstations. They were high-regarded but sold poorly. Yet NeXT's influence is still felt. Tim Berners-Lee used a NeXT machine in 1991 to create the first Web browser and the first Web server. And NeXT's NeXTSTEP software became the basis for Mac OS X and iOS. That heritage is still evident in the Cocoa API used for Mac OS and iOS programming: Cocoa classes begin with the letters "NS," for NeXTSTEP. If NeXT failed as a company, it succeeded in helping Apple develop a modern operating system.

Recommended Reading

How Steve Jobs Inspired IT Execs

What Steve Jobs Was, And Wasn't

How Steve Jobs Touched My Life: Readers Speak

What Steve Jobs Taught Us

iPhone Through The Years: Visual Tour

iPhone Vs Android: It's The Sum, Not The Specs

Apple's iPhone 4S Magic: Siri

10 Key Steve Jobs Moments and Innovations

« Previous Page | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Next Page »

By The Numbers

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?

SaS

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.