Can you see the blind spots in your machine learning?

Looking back at the pace of innovation over the last 10 years it becomes increasingly difficult to imagine a world without artificial intelligence (AI). From product recommendation and self-driving cars to automatically understanding your receipts, AI – and specifically machine learning – has made huge strides into mainstream technology, and...

Machine learning – will your company be left behind?

Organisations currently using AI at scale are performing an average of 11.5% better than those who are not, according to Microsoft’s recent whitepaper Accelerating competitive advantage with AI. This is has increased from 5% just one year ago. The organisation’s research also found that in the UK alone there has...

Meetup: Machine Learning in action at Streetbees

Dr Sophia Goldberg, Machine Learning Researcher at rapidly growing London startup Streetbees talks about how they use AI to disrupt the market research industry. Meetup date: 19/09/19

Blueprint Series: Inextricably Linked – Reproducibility and Productivity in Machine Learning

Speaker: Mark Coleman, VP Marketing at dotscience and Marketing Chairperson for Cloud Native Computing Foundation. Talk Synopsis: Because it is more complex and has far more moving parts, machine learning is where Software Development was in 1999: people are emailing and Slacking notebooks to each other, due to a lack...

Improving Big Data Analytics with Machine Learning

The amount of data generated by businesses every single day is colossal – and it’s growing at an exponential rate. Many organisations are now reporting that they have a mass of unstructured data and no idea how to analyze it or use it in any way – from emails to...

Predictive analytics vs Machine learning

Big data holds a lot of value that businesses can analyse and interpret to make cost savings, improve their business and drive operations forward. However, in order to access the wealth of information available the data needs to be processed in order to offer insights and different frameworks can have...

Machine Learning In Warehouse Management: Are We At A Breaking Point?

Machine learning is definitely an important topic in the technology sector. There are plenty of industries who are trying to develop strategies around their growth plan on the matter, given the fact that there are proven results of how machine learning applied to productivity works. Let’s analyse some big examples...

Migrating Machine Learning to Spark on the Cloud

AUTOMATED MACHINE LEARNING

HOW RANK GAMING PRODUCTIONISED & AUTOMATED THE MANAGEMENT OF MACHINE LEARNING MODELS IN AZURE

ASSEMBLING A TEACHER BOT WITH MACHINE LEARNING, NLP, ACTIVE LEARNING AND MICROSERVICES

HOW AUTOMATION CAN ACCELERATE THE DELIVERY OF MACHINE LEARNING

USING FAST DATA AND STREAM PROCESSING TO OPERATIONALISE MACHINE LEARNING

DEUTSCHE BANK: THE PATH TO AUTOMATION IN A HIGHLY REGULATED SPACE

A LOOK INSIDE APPLIED MACHINE LEARNING

Speaker: Brian Goral The field of machine learning (ML) ranges from the very practical and pragmatic to the highly theoretical and abstract. This talk describes several of the challenges facing organisations that want to leverage more of their data through ML, including some examples of the applied algorithms that are...

FROM PROLIFERATION TO PRODUCTIVITY: MACHINE LEARNING DATA CATALOGUES

THE POWER OF AUTOMATION: HOW TO REDUCE 24 HOURS OF WORK TO 30 SECONDS

MACHINE LEARNING DATA CATALOGUES FOR AMBIENT GOVERNANCE

USE MACHINE LEARNING TO GET THE MOST OUT OF YOUR BIG DATA CLUSTERS

Machine Learning: What works and what they don’t tell you

Machine learning can extract real business value in an amazing range of situations. To make machine learning actually work, however, you need practical knowledge that can be hard to come by except through the school of hard knocks. Ted Dunning has been there and shortcuts this for you by presenting...

Machine Learning vs Deep Learning

Artificial intelligence has been a buzzword in the IT/Data industries for the last few years. Research and developments mean that it’s rapidly moving away from concept to reality. The fields of machine learning and deep learning are contributing significantly to making artificial intelligence a tool that can benefit businesses and...