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Ajit jaokar's Blog (42)

Landing a 150k USD #datascientist job: Seven things you need to know

 

On Linkedin, many Data Science enthusiasts who aspire to be Data Scientists follow me.

 

One person asked the question:

 

What do I need to know to get a $150K job as a Data Scientist?

 

It’s a good…

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Added by ajit jaokar on September 16, 2018 at 12:28am — No Comments

How to use IoT datasets in #AI applications (full stack)

Introduction

Recently, google launched a Dataset search – which is a great resource to find Datasets.  In this post, I list some IoT datasets which can be used for Machine Learning or Deep Learning applications. But finding datasets is only part of the story.  A static dataset for IoT is not enough i.e. some of the interesting analysis is in streaming mode. To…

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Added by ajit jaokar on September 12, 2018 at 3:00am — No Comments

How to create an #Enterprise #AI Business case driven by Data

Introduction

In a previous post (four quadrants of the Enterprise AI business case) – I laid the foundations of a strategy for deploying Enterprise AI. In this post, we…

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Added by ajit jaokar on September 2, 2018 at 4:53am — No Comments

Can we use deliberate practise for learning to code #AI and #machinelearning

In this post, I explore if ideas of deliberate practise can be applied to teaching coding for Artificial Intelligence / Machine Learning

I am exploring these ideas in a free coding workshop/ meetups in…

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Added by ajit jaokar on August 18, 2018 at 10:30pm — 7 Comments

Four Quadrants of the Enterprise AI business case

Introduction

In this post, I discuss the development of the Enterprise AI business case through a framework of four quadrants.  According to Gartner: “The mindset shift required for AI can lead to “cultural anxiety” because it calls for a deep change in behaviors and ways of thinking”. Deployment of AI in an Enterprise is complex and multi-disciplinary. Hence, this framework is evolutionary.  The vendors and initiatives listed are included to…

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Added by ajit jaokar on August 12, 2018 at 7:11am — 1 Comment

How you can stay up to date with your #AI and #MachineLearning knowledge

 

Andrew Ng is a great fan of reading research papers as a long term investment in your own study (On Life, Creativity, And Failure about Andrew Ng). Anyone who has worked in our field (AI, Machine Learning)…

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Added by ajit jaokar on August 7, 2018 at 6:32am — 3 Comments

Data Science for Internet of Things - The Big Picture

This big picture view lays the foundation of our book Data Science for the Internet of Things. (Co-authored by Ajit Jaokar, Jean Jacques Bernard and Sukanya Mandal)

We address the question: at what points can we add analytics to the data after it leaves the sensor and…

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Added by ajit jaokar on May 24, 2018 at 4:00pm — 5 Comments

GDPR and AI – strategies and options in a nutshell

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…

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Added by ajit jaokar on March 26, 2018 at 4:00am — 2 Comments

In 2018 - AI will start to bring jobs back from offshore destinations to the West

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…

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Added by ajit jaokar on January 7, 2018 at 11:00am — 1 Comment

IOTA – The potential to drive Data Science for IoT

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,…

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Added by ajit jaokar on December 24, 2017 at 12:00pm — No Comments

Enterprise AI: Learning from the evolution of Robotic Process Automaton

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…

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Added by ajit jaokar on December 6, 2017 at 1:00pm — No Comments

Non-traditional strategies for mid-career switch to #Datascience and #AI

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…

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Added by ajit jaokar on October 16, 2017 at 12:00pm — 2 Comments

Behavioural Biometrics, IoT and AI

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…

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Added by ajit jaokar on October 3, 2017 at 3:55am — No Comments

Re-thinking Enterprise business processes using Augmented Intelligence

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…

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Added by ajit jaokar on April 26, 2017 at 9:39pm — No Comments

The applications of Artificial Intelligence (AI) in the Telecoms industry

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…

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Added by ajit jaokar on April 16, 2017 at 12:00pm — No Comments

Data readiness strategies of AI Start-ups

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.  …

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Added by ajit jaokar on April 4, 2017 at 10:00am — No Comments

Twelve types of Artificial Intelligence (AI) problems

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…

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Added by ajit jaokar on January 5, 2017 at 7:00am — 1 Comment

#Enterprise #AI insights from the AI Europe (@AI_Europe) event in London

Enterprise AI insights from the AI Europe event in London

 …

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Added by ajit jaokar on December 11, 2016 at 8:30pm — No Comments

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