Organizations today are collecting tremendous volumes of data, generated by a wide variety of sources, often at extreme velocities. This is “big data”—the millions of stock trades, call detail records (CDRs), social media posts and patient test results produced every single day. Leading
Steve Mills, senior vice president & group executive, IBM Software & Systems Group, discusses big data and analytics with press and analysts at the Information On Demand 2012 conference.
During the conference IBM announced a new digital marketing system and big data software designed to
It’s no small secret that digital data presents clear and present challenges for marketing organizations.
As consumers spread their attention across a wide variety of channels and devices, key sources of digital data such as websites, online ads and mobile apps, spin off massive amounts of data.
As consumers spread their attention across a wide variety of channels and devices, key sources of digital data such as websites, online ads and mobile apps, spin off massive amounts of data. This is the gold that all marketers seek to mine, refine and use to drive up the bottom line. IBM teamed
CMOs (and their ranks of retail marketers and agencies) are working to bring creative-driven and data-driven marketing and advertising together in order to deliver relevance to consumers, drive stronger sales and discover deeper insight into audiences.
The fact is that CMOs are increasingly being
Jimmy Kimmel pulled off an incredible prank during last Sunday night's Primetime Emmy award show. He got comedian Tracy Morgan to lie flat onstage and asked his audience members to tweet “OMG Tracy Morgan just passed out onstage at the #Emmys. Turn on ABC now.”
There was something fascinating about
USC Annenberg Innovation Lab is using an IBM big data solution to conduct sophisticated social media analytics and natural language recognition to gauge positive and negative opinions shared in millions of public tweets. The project has been applied to political debates, sporting events, movies and
Influence is hip. Any self-respecting career-oriented individual these days brags about their influence on socials, however that might be measured. And modern marketing professionals pride themselves on their ability to use the socials and other resources at their disposal to influence the new
As social media tools become more prevalent, those participating in the online conversation become increasingly influential, especially as their opinions travel faster and to a wider group of consumers. The IBM Social Sentiment Index uses analytics and natural language processing technologies to
"Next best action” is a hot focus area under big data, advanced analytics, digital marketing, smarter commerce and other business imperatives. Enterprises have been doing next best action, in various forms, for years. Many companies continue to scale up and build out their next-best-action
Krishnan Parasuraman, CTO of big data, IBM Digital Media, describes the three contextual factors fueling the questions around big data, including the analytic awakening, commodization of technologies, and data availability.
Here are the quick-hit ponderings that I posted on various LinkedIn big data discussion groups this past week. I opened up one new theme–Big Media (which I'd introduced a few weeks back at this IBM big-data-relevant site) –and extended my existing discussions of peta-governance (going beyond what
Roland Cozzolino (CTO) and Tom Craig (VP Data & Information Strategy) from MediaMath sit down to discuss their analytical objective as a leading Digital Media firm and the role IBM Netezza plays in their business strategy.
Krishnan Parasuraman, CTO big data for digital media, answers questions about big data solutions for the Digital Media industry and discusses the sophisticated distributed processes that take place at light speed to deliver targeted digital advertisements.
The biggest table in any Netezza database that I know of has over 600 billion rows!! That’s the claim made by our customer, Catalina Marketing.
So although most of the data in the world is not relational, there is a huge amount of relational data and IBM technologies are more than capable of