I had the pleasure to meet @KirkDBorne last week and participate in a panel moderated by Kirk - Decoding #GDPR, #IoT, and #UX in the #BigData world: discussing #AI #MachineLearning #DataSecurity at the…

In my previous article, I wrote about the impact of Robotic Process Automation which drives Enterprise AI. In that article, I said: The first group of workers…

I have a close circle of clued-on/tech savvy friends whose views I take seriously. For the last few weeks, one of these friends has been sending me emails extolling the merits of something called IOTA – which calls itself as the next generation Blockchain.  At first,…

In 2017, the Robotic Process Automation / RPA  market has matured.

Learning from the evolution of RPA, in this post, we explore the wider implications for Enterprise AI i.e. the deployment of Artificial Intelligence to the Enterprise

BACKGROUND

The post is based on my course on…

In this post, I explore strategies to switch to Data Science mid-career. This switch is not easy, but based on the experience of many who I have taught/mentored/recruited – it is possible. Most people consider PhD/MooC etc for switching their career to Data Science. But here, I will explore some non-traditional/unorthodox ways of switching to Data Science. I draw upon my personal experience as a teacher, data…

Background

Biometrics is defined as the science of establishing the identity of an individual based on physical, chemical or behavioural attributes of the person. We see the deployment of Biometrics in many industries such as smart homes, automotive, banking, healthcare etc. According…

Background

I heard about  The Mathematical Corporation:…

In the 1990s, there was a popular book called Re-engineering the Corporation. Looking back now, Re-engineering certainly has had a mixed success – but it did have an impact over the last two…

Background

Last week, I spoke at the Swiss Mobile Association. The event was held at one of the oldest  cross-functional research institutes Gottlieb Duttweiler Institute…

Last week, at an event on AI, I asked the panel about how investors evaluate the Data readiness of AI start-ups. This subject is close to my work and my teaching. I teach a course on Implementing Enterprise AI and also teach Data Science for IoT at the University of Oxford.  Below are my perspectives.  …

Background – How many cats does it take to identify a Cat?

In this article, I cover the 12 types of AI problems i.e. I address the question : in which scenarios should you use Artificial Intelligence (AI)?  We cover this space in the  Enterprise AI course

Some background:

Recently, I conducted a strategy workshop for a group…

Enterprise AI insights from the AI Europe event in London

 …

Background

Dresner advisory services has published  a report on IoT business models. This report covers IoT, Big Data and Analytics. I have been focussing on this subject in my teaching at Oxford University and the Data…

Introduction 

According to Deloitte: by the “end of 2016 more than 80 of the world’s 100 largest enterprise software companies by revenues will have integrated cognitive technologies into their products”. Gartner also predicts that 40 percent of the new investment made by…

Introduction

At the Data Science for Internet of Things course, we have been working with the Predix APIs. We emphasise the Industrial IoT and Predix from GE is one the best examples of a mature IIoT platform.  Predix is currently available on a free trial and I asked GE about the process…

Many thanks for the retweets and feedback on Part one of this blog 

A methodology for solving problems with DataScience for Internet of Things - Part One

Here is Part Two

Here we extend the discussion and also suggest a practical (and open) way to create a way forward

To recap, lets keep in mind the…

Introduction

This two part blog is based on my forthcoming book:  Data Science for Internet of Things.

It is also the basis for the course I teach  Data Science for Internet of Things Course.  I will be syndicating sections of…

Like many data scientists, I use the UCI datasets extensively

Specifically, the Boston Housing Dataset is useful especially to teach

For example, I use it in the …

Background

I teach a masters program on Smart cities (Big Data/Data Science/IoT analytics) at Citysciences (part of the University of Madrid)

I am pleased to announce…