Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Rob Preston

Rob Preston

VP & Editor in Chief, InformationWeek

Is Technology Innovation Too Incremental?

Two prominent big thinkers think it is. But I’m not buying their unsupported arguments.

Garry Kasparov and Peter Thiel, in a recent column for the Financial Times, argue that true innovation-led economic and social progress is a thing of the past. Ever since the breakthroughs of the 1950s and '60s (jet aviation, the integrated circuit, nuclear power, communications satellites), this country has "discarded a century of can-do ambition built on rapid advances in technology and replaced it with a cautiousness far too satisfied with incremental improvements," the authors argue.

The column is breathtaking in its sweeping, unsupported generalizations and its omission of countless examples to the contrary. Apparently lost on Kasparov, a former chess champion beaten in his prime by a masterfully programmed supercomputer, and Thiel, a co-founder of PayPal, a product of the Internet revolution that has transformed how people pay for goods and services, is the irony of their untenable position given their own run-ins and rich experiences with innovative technology.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"The genuine progress in IT from the 1970s up to the 2000s," they write, "masked the relative stagnation of energy, transportation, space, materials, agriculture and medicine." Really?

Stem cell research is the integrated circuit of modern healthcare, a seminal breakthrough that promises to drive cures for decades to come. Is the mapping of the human genome an "incremental" advance? What about techniques for tapping billions of gallons of previously inaccessible natural gas and oil reserves? What about the launch of the Hubble telescope and the automated exploration of Mars and other planets? What about the mass production of electricity-powered cars? The world's population has doubled since 1970, partly because healthcare advances have lengthened life spans, and somehow food supplies managed to keep pace -- all while the agriculture industry stagnated?

Thiel's a sharp guy and a contrarian thinker. I cited his provocative "education bubble" thesis in a column last year, in which I agreed with him and went on to argue that the higher education market is ripe for technology disruption. Kasparov, the Russian chess master and political activist, is clearly no intellectual slouch either. Which makes their diatribe in the Financial Times all the more perplexing. It says at the end of their column that they were due to participate that evening in a debate on technology at the Oxford Union, so maybe they were testing the waters by firing a few torpedoes.

Global CIO
Global CIOs: A Site Just For You
Visit InformationWeek's Global CIO -- our online community and information resource for CIOs operating in the global economy.

At least the authors give the IT industry some props -- sort of. "Today when people say 'tech' they think of a small cohort of computer-related companies rather than the continuing transformation of every industry that people envisioned back in the 1950s," they lament. Perhaps the reason people don't think of the likes of FedEx and Vail Resorts and John Deere and Union Pacific when they think "tech" is because those companies' profound technological advances are now so ingrained in the customer experience or are so embedded in their supporting infrastructures that people take those advances for granted.

Technology's ability to transform companies and industries isn't a function of how high profile that technology is, but how valuable it is in improving products (simple online package tracking, a social skiing experience, remote diagnoses of vehicle problems, efficient and reliable freight hauling), as well as in improving supply chain management, manufacturing, distribution, sales, marketing and other support functions -- without sticking out like a sore thumb.

The rest of the Financial Times column is a jumble of non-sequiturs about short-sighted investment practices, the inability (and ability) of governments to foster innovation, the systemic shortcomings of Apple and Google, and the merits of private versus public corporate ownership -- all to exhort the masses to accelerate the pace of technical innovation. "Above all the future will be created by individuals," say the authors. No kidding. Then what?

Predictive analysis is getting faster, more accurate and more accessible. Combined with big data, it's driving a new age of experiments. Also in the new, all-digital Advanced Analytics issue of InformationWeek: Are project management offices a waste of money? (Free registration required.)



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

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?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

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

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

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

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

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

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

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.