Profile of James Kobielus
Lead Analyst, SiliconANGLE Wikibon
News & Commentary Posts: 35
Jim is Wikibon's Lead Analyst for Data Science, Deep Learning, and Application Development. Previously, Jim was IBM's data science evangelist. He managed IBM's thought leadership, social and influencer marketing programs targeted at developers of big data analytics, machine learning, and cognitive computing applications. Prior to his 5-year stint at IBM, Jim was an analyst at Forrester Research, Current Analysis, and the Burton Group. He is also a prolific blogger, a popular speaker, and a familiar face from his many appearances as an expert on theCUBE and at industry events.
Articles by James Kobielus
12/13/2019
Understanding how AI models and AI-based applications work, what they can and cannot do, and where there is potential for ethical issues is core to putting AI to work for your organization.
11/27/2019
As enterprises embark on AI and machine learning strategies, chip makers like NVIDIA, Intel and AMD are battling to become the standard hardware providers.
11/8/2019
If this approach gains traction, it could have a disruptive impact on the standard practice of data science.
10/7/2019
AI-based test automation will be a key feature of DevOps in enterprise multi-cloud environments in the 2020s.
7/15/2019
As more individuals, governments and companies see artificial intelligence as evil, it becomes clear that we need metrics to ensure that AI is a good citizen.
6/26/2019
While artificial intelligence and machine learning hold promise in cybersecurity initiatives, there are some gaps that enterprises need to consider.
1/24/2019
If some forms of artificial intelligence may put lives at risk, what are some of the options for safer deployment of the technology.
12/18/2018
From issues such as privacy and data bias regulation to model training and self-service AI, you can expect a broad range of key advances in the artificial intelligence space.
11/27/2018
Recent computer industry developments set the stage for demonstrations of how blockchain can help to turn Internet of Things networks into trusted environments.
10/18/2018
More applications utilizing facial recognition are inevitable in the public and private sectors, and those will generate plenty of new rules and regulations.
9/21/2018
The next phase in our move to the rent-don't-buy economy shapes up with "device as a service".
8/24/2018
The end-to-end cloud ecosystem must mature rapidly to support enterprise deployment of AI and machine learning applications.
7/17/2018
There's lots of talk about where blockchain will be used. Next up: The cloud.
6/25/2018
The way you walk, the way radio waves reflect off your body, and your body's thermal signature all play into the ability for AI to identify you without the use of a camera.
5/23/2018
Eliminating bias in the data and algorithms that drive artificial intelligence and machine learning initiatives requires constant vigilance on the part of not only data scientists but up and down the corporate ranks.
5/1/2018
Research by neuroscientists promises to make attentional mechanisms a core feature of artificial general intelligence, and thus help to make the IoT so much more than commonly thought.
3/30/2018
Next up for developing artificial intelligence systems is automated neural-net architecture search.
3/13/2018
Those digital devices that get you through the day will get less chatty and more focused on working for you.
2/2/2018
There are plenty of concerns about the safety of artificial intelligence, and it's up to humans to set the standards for safe uses of the technology.
3/27/2015
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.
2/16/2015
Software-defined storage and hybrid deployment approaches may keep disk drives and other 'obsolete' technologies around longer than you'd expect.
1/30/2015
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.
3/4/2011
The acquisition will advance graph analysis against clickstreams and social media messages. Competitors will respond on the "No SQL" and social network analytics fronts.
2/15/2011
Technical differentiation continues to narrow among leading vendors. The next Forrester Wave will see a push into cloud-based data warehousing.
1/6/2011
Forrester's plans for covering self-service, pervasive, social, scalable, cloud and real-time analytics in the coming year.
10/27/2010
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.
9/1/2010
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.
7/27/2010
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...
7/21/2010
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.
7/20/2010
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.
7/7/2010
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.
4/30/2010
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.
4/2/2010
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...
3/23/2010
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...
3/19/2010
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.
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