May 12, 2021

AI in 35 days: the pandemic’s answer to excuse makers

May 7, 2020

Watson AIOps keeps an eye on complex business systems so CIOs don’t have to

February 13, 2019

Why you can’t have AI without ‘information architecture’

February 28, 2018

IBM’s AI Ladder is runged with stepping stones for data dilettantes

November 8, 2017

Urge to merge: Breaking tech and talent silos for data-driven business

October 10, 2017

IBM wants to give data scientists a lot more free time

September 27, 2017

Hortonworks and IBM make a bid for simplicity

June 22, 2017

Coopetition heats up: IBM-Hortonworks partnership tackles machine learning, data governance

June 13, 2017

Data science is the issue, not Hadoop, says expert

February 15, 2017

How cognitive tech can handle sensitive data in private clouds | #IBMML

September 28, 2016

The higher-tech food chain: Companies better enter the Digital Age — or else | #BigDataNYC

June 6, 2016

Spark creates universal access to data: Can data be ‘more human’? | #SparkBizApps

February 18, 2016

Rejecting the wheel: IBM and IoT | #SparkSummit

October 27, 2015

Spark: Enterprise ready by 2016, open source central | #IBMinsight

September 29, 2015

Big Data trends: Outcomes not architecture | #BigDataNYC

August 14, 2015

Using open-source to turn tech challenges into solutions | #theCUBE

February 18, 2015

Hadoop is now a board room discussion | #BigDataSV

February 5, 2013

A Quick Guide to IBM’s Analytics Acquisitions, Strategy