Profile of James Kobielus

Lead Analyst, SiliconANGLE Wikibon

News & Commentary Posts: 28

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

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Predictions for Artificial Intelligence in 2019

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.
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Using Blockchain to Support Trustworthy Transactions on the IoT

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.
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The Coming Wave of Regulation over Facial Recognition

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.
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Device-as-a-Service Will Power the Access Economy

9/21/2018
The next phase in our move to the rent-don't-buy economy shapes up with "device as a service".
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Eliminating Performance Bottlenecks on Web-Based AI

8/24/2018
The end-to-end cloud ecosystem must mature rapidly to support enterprise deployment of AI and machine learning applications.
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How Clouds Will Crystallize Around Blockchain

7/17/2018
There's lots of talk about where blockchain will be used. Next up: The cloud.
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Doing Computer Vision Without Cameras

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.
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Debiasing Our Statistical Algorithms Down to Their Roots

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.
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Giving the IoT the Power to Pay Attention on Our Behalf

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.
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Neuroevolution Will Push AI Development to the Next Level

3/30/2018
Next up for developing artificial intelligence systems is automated neural-net architecture search.
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The Evolution Away from Conversational User Interfaces

3/13/2018
Those digital devices that get you through the day will get less chatty and more focused on working for you.
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Making AI Safe for Civilized Society

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.
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Apache Spark: 3 Promising Use-Cases

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.
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SSD Tipping Point Grows Blurrier By The Day

2/16/2015
Software-defined storage and hybrid deployment approaches may keep disk drives and other 'obsolete' technologies around longer than you'd expect.
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Chief Data Science Officers Won't Supplant CIOs

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.
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Aster Data Deal Drives MapReduce Into Teradata's Strategy

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.
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Innovation Transforms Data Warehousing

2/15/2011
Technical differentiation continues to narrow among leading vendors. The next Forrester Wave will see a push into cloud-based data warehousing.
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Predictions For Business Analytics In 2011

1/6/2011
Forrester's plans for covering self-service, pervasive, social, scalable, cloud and real-time analytics in the coming year.
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Use Analytics to Spotlight Customer 'HEROes'

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.
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Data Analytics: Key to Process Optimization

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.
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Social Media Analytics vs. Social Network Analysis

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...
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Agile Data Warehousing: Do You Scrum?

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.
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Forrester Wave Findings: Customer Service Analytics Empower Predictive Process

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.
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Enterprise-Grade Hadoop for Petabyte Analytics

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.
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What's Not BI? Don't Get Me Started...

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.
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Harnessing Real-time Process Analytics

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...
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How Many People Use Advanced Analytics?

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...
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Social, Spatial, & Temporal: The Coordinates of Community in the Cloud

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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