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 – […]
That giant sucking sound? Hadoop moving into the cloud
Hadoop was born in the cloud, as a big data project designed to take advantage of Yahoo’s infrastructure, based on a paper from Google about the map/reduce algorithm. It was never originally designed for on prem enterprise deployment. I recently wrote that some of the issues with Hadoop adoption are cultural, but management overheads […]
A new value chain for next-generation mobility
In my book, The Big Data Opportunity in Our Driverless Future, I make two arguments: 1) that societal and urban challenges are accelerating the adoption of on-demand mobility, and 2) technology advances, including big data and machine intelligence, are making Autonomous Connected and Electrified (ACE) vehicles a reality. ACE vehicles and on-demand mobility will cause […]
Data Transformation is the New Digital Transformation
It’s a truism today that we all need to become data-driven businesses – data is the new natural resource – and so on. But nobody seems to know what that means. Tim O’Reilly was talking about the trend, Data is the new Intel Inside, as long ago as 2005. RedMonk attached itself fairly early – […]
Machine Learning Is The New Proving Ground For Competitive Advantage
50% of organizations are planning to use machine learning to better understand customers in 2017. 48% are planning to use machine learning to gain greater competitive advantage. Top future applications of machine learning include automated agents/bots (42%), predictive planning (41%), sales & marketing targeting (37%), and smart assistants (37%). These and many other insights are […]
Event Report: #GoogleNext17 On Path To Enterprise Ready
Google Cloud Takes Key Steps To Enterprise Class Over 10,000 customers, prospects, partners, Google developers, and employees gathered in San Francisco’s Moscone West Conference Center for Google’s flagship enterprise event. Of note, Alphabet CEO, Eric Schmidt, book ended the event by highlighting the $30 billion capital infrastructure investment into the overall Google Cloud Platform. The […]
