Inside the Briefcase

Ironclad SaaS Security for Cloud-Forward Enterprises

Ironclad SaaS Security for Cloud-Forward Enterprises

The 2015 Anthem data breach was the result of...

The Key Benefits of Using Social Media for Business

The Key Benefits of Using Social Media for Business

Worldwide, there are more than 2.6 billion social media...

Gartner IT Sourcing, Procurement, Vendor and Asset Management Summit 2018, September 5 – 7, in Orlando, FL

Gartner IT Sourcing, Procurement, Vendor and Asset Management Summit 2018, September 5 – 7, in Orlando, FL

Register with code GARTITB and save $350 off the...

Infographic: The Three Pillars of Digital Identity: Trust, Consent, Knowledge

Infographic: The Three Pillars of Digital Identity: Trust, Consent, Knowledge

8,434 adults were surveyed to gauge consumer awareness of...

FICO Scales with Oracle Cloud

FICO Scales with Oracle Cloud

Doug Clare, Vice President at FICO, describes how Oracle...

Why big data might be more about automation than insights

March 1, 2013 No Comments

Despite all the talk about companies using big data to uncover insights, maybe automation is the real reason the world is so excited about big data. What makes the big data era so significant isn’t that people are using data to inform their decisions, but that there’s just too much data of too many different types. In many cases, keeping up isn’t so much a matter of changing mindsets as it is about getting better tools.

Last week, New York Times reporter Steve Lohr wrote about the possibility of a big data bubble forming because people rely too much on data at the expense of experience and intuition. It got me thinking about all the technologies and algorithms I’ve covered, about all the discussions I’ve had about why a data scientist is more than just a statistician who can write MapReduce jobs. Nearly everywhere, it seems to me (save for, as Lohr cites, unique uses such as algorithmic trading), big data really is less about replacing human intuition than it is about augmenting the human experience by making it easier, faster and more efficient.

Like the purpose-built robots that have revolutionized manufacturing, today’s methods for processing and analyzing data are fast, scalable and precise, but they don’t yet (in most cases) make our decisions. Big data can make life and business a lot more efficient, but for the time being, human judgment and willpower are still very much in control.

Read Full Story

DATA and ANALYTICS 

Leave a Reply

(required)

(required)


ADVERTISEMENT

Gartner