Profile of James Kobielus
News & Commentary Posts: 16
James Kobielus is IBM's Big Data Evangelist. He is an industry veteran who spearheads IBM's thought leadership activities in big data, data science, enterprise data warehousing, advanced analytics, Hadoop, business intelligence, data management, and next best action technologies. He works with IBM's product management and marketing teams across the big data analytics portfolio. Prior to joining IBM, he was a leading industry analyst, with firms including Forrester Research, Current Analysis, and Burton Group.
Articles by James Kobielus
Spark is the shiny new thing in big data, but how will it stand out? Here's a look at "fog computing," cloud computing, and streaming data-analysis scenarios.
Software-defined storage and hybrid deployment approaches may keep disk drives and other 'obsolete' technologies around longer than you'd expect.
Some believe a new C-level data scientist will inevitably control the purse strings on data-related projects. Here's why that's a bad idea.
The acquisition will advance graph analysis against clickstreams and social media messages. Competitors will respond on the "No SQL" and social network analytics fronts.
Technical differentiation continues to narrow among leading vendors. The next Forrester Wave will see a push into cloud-based data warehousing.
Forrester's plans for covering self-service, pervasive, social, scalable, cloud and real-time analytics in the coming year.
Most people in communities are essentially there for the ride, contributing little while benefiting from whatever resources the more generous among them have chosen to share... That's fine, as long as you keep encouraging actively engaged individuals -- whom Forrester refers to as CRM Highly Empowered & Resourceful Operatives (HEROes) -- to keep the useful content coming.
Rome was not reinvented in a day. Your enterprise business processes won't turn around overnight either. You'll need to re-engineer processes while you continue to run a business -- albeit one with many buried layers, some splendid ruins, and many construction projects that cause never-ending traffic snarls.
Is there a real difference between these two terms, or are you seeing double? My initial impetus for a podcast on leveraging the power of social media and social networks to manage your brand was to spell out the chief distinctions between these two terms...
When IT professionals speak of "agile development," they could be referring to any of countless overlapping schools of thought. It's best to tread lightly and keep an agile mind to find some hybrid or innovative approach that specifically meets your needs.
The latest Forrester Wave on Customer Relationship Management (CRM) Customer Service Solutions includes 19 vendors evaluated against 196 criteria. As you can well imagine, it took time to compile the research and double-check the facts before we scored these sophisticated product suites.
Hadoop is riding the hype wave right now. You'll find many IT professionals who know just enough about Hadoop to be dangerous in a cocktail party setting, but not enough for their own comfort to respond to grilling from the chief technology officer or the geekier business executives.
Do you prefer the broad or the narrow definition of BI, and how should we differentiate BI and analytics? Read on for my "extended jam" on these and other FAQs about business intelligence.
What do you need for a full-featured process analytics platform?... Here's a little peek ahead at what I plan to share on this topic at the May 26-28 Forrester Information Technology Forum in Las Vegas...
Approximately one in three companies implementing traditional BI also uses advanced analytics. In other words, if, say, 3 percent of employees in BI-implementing firms use traditional BI, that would correspond to 1 percent of those firms' employees using advanced analytics...
Social networks have their foundations in the space-time continuum -- you know, the funky coordinate system that Einstein was so keen about... Down deep, I consider social network analysis an important new branch of decision support systems as a discipline.