On Hortonworks, data management and mind blown by GDPR. First notes from Dataworks 2018
At its DataWorks Summit 2018 in Barcelona this week Hortonworks set out its stall for the next stage in its evolution. A year ago it was looking like the Cloud would simply eat the Big Data market, but geopolitical concerns, and enterprise inertia, have combined to create a somewhat more nuanced picture. Hortonworks argues the […]
Event Report: Microsoft Biz Apps Analyst Day Highlights Strategic Transformation #MSBizApps
Microsoft Dynamics 365 Seeks End To End Coverage Of Business Apps On February 10th to 12th, 2018, industry analysts converged onto Building 92 at the Microsoft Campus in Redmond, WA, for an update on the Microsoft Business Applications. The Business Applications Analyst Forum was hosted by key executives including: Source: © 2018 R Wang […]
53% Of Companies Are Adopting Big Data Analytics
Big data analytics adoption reached 53% in 2017 for all companies interviewed, up from 17% in 2015. Data warehouse optimization remains the top use case for big data. Among big data distributions, Cloudera is the most popular, followed by Hortonworks, MAP/R, and Amazon EMR. These and many other insights are from Dresner Advisory Services’ insightful 2017 Big Data […]
The emergence of intelligent HR software
I recently wrote from Workday Rising about the Age of Intelligence. It’s not just Workday which has been busy. John Sumser of HE Examiner has a study which looks at intelligent tools at Workday and 29 other HR-centric vendors. He has some interesting observations and caveats including We began the report as an investigation into Artificial Intelligence. […]
Monetizing Big Data in Next-Generation Mobility
In my book and previous posts I build a broad case for the importance of big data and AI in next-generation mobility, and provide several examples of data that is being collected, or can be collected, in a variety of transportation and logistics situations. Next-generation mobility is about autonomous vehicles, electrified vehicles, and on-demand shared […]
McKinsey’s State Of Machine Learning And AI, 2017
Tech giants including Baidu and Google spent between $20B to $30B on AI in 2016, with 90% of this spent on R&D and deployment, and 10% on AI acquisitions. Artificial Intelligence (AI) investment has turned into a race for patents and intellectual property (IP) among the world’s leading tech companies. U.S.-based companies absorbed 66% of […]
Analysis Of The Next-Generation Mobility Value Chain
In the previous post I described a new value chain that will connect companies providing on-demand mobility and three emerging models for the realization of this value chain. This value chain is the result of the consumer shift from a car ownership-centric transportation model to a hybrid model that blends car ownership with mobility services, […]
IBM’s cognitive, AI and ML with @bigdata_paulz at BigDataTO
I’ve been passing on a lot of conferences lately – just too many trips to Vegas for my liking, and insufficient value for my time – but tend to drop in on ones that happen in Toronto, where I live. This week, it’s Big Data Toronto, held in conjunction with Connected Plus and AI Toronto. […]
“Find a Daphne”
At this juncture, recognize I need someone to help me take Big Mountain Data to the next level. Someone who complements my skills, but has the expertise I lack in areas that are critical to our growth (technical prowess, for one).
SapphireNow – is SAP poised to lead the industry again?
I went to SapphireNow in Orlando. I am getting requests to write an update to SAP Nation. There is plenty I could write about – how thousands of SAP customers are trying out one or more of the “coping strategies” I had outlined in the book to manage their exposure to SAP and partners – […]
