Machine Intelligence

September 23rd, 2020, by
AI-Assisted Testing

There is a constant ask from the customer on how to optimize the overall QA (Quality assurance) activities in terms of reducing cycle time, improving quality by reducing production defects, focused testing to get maximum defects in early development phases.

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September 7th, 2020, by
Machine Learning Use Cases in Retail

With the increasing use of ML and AI, how can retailers boost efficiency and productivity while actively engaging with consumers?

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June 24th, 2020, by
Whitepaper: Delivering value through AI

Artificial Intelligence (AI) is fast becoming a crucial competency for organisations however, its adoption poses many challenges. Companies want to leverage the power of AI but they are not sure where to start.

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June 3rd, 2020, by
Finding Our Common Voice

Everyone has had an experience where we try to use our voice assistants on our phones and other devices only to have it respond with the most quirky, random things or otherwise not even try.

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May 18th, 2020, by
The nature of machine learning projects

In this post I will briefly try to explain the machine learning process and why it calls for a different approach and mindset.

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January 30th, 2020, by
What will the 2020s bring?

What will be the next big technologies that will transform our lives 10 years into the future? How will these technologies be tested? Is testing even a thing anymore in 2030?

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January 27th, 2020, by
Machine learning for stupid and poor people who want to become a millionaire

In the contemporary digital era, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as the two pillars of data science that are elusive to the common masses.

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August 30th, 2019, by
Webinar: Assessing Vehicle Damage – the ML way

Can we replace the traditional methods of vehicle damage inspection (for car insurance) with a Machine Learning based automated solution?…

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August 29th, 2019, by
Machine Learning Algorithms and their Applications

This whitepaper covers various Machine Learning algorithms and their applications in various areas. Download now! Image source

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August 14th, 2019, by
There is always a first time, for everything. Do not miss the Artificial Intelligence train.

This morning I was reading the interview with Larry Pizette, Head of Amazon ML Solutions Lab at AWS. The interview, through ten questions, goes through the basic itinerary to start in Machine Learning from a business point of view.

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August 8th, 2019, by
Basics of Machine Learning

Most artificial intelligence is powered by machine learning algorithms. So, when people want to know if their artificially intelligent system is working well, they ask testers ‘can you test my AI?’.

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June 27th, 2019, by
Can You Trust Machine Learning Decisions?

Biased? You need a lot of data when you want to train a machine learning algorithm and since Big Data…

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