MACHINE INTELLIGENCE

November 17, 2020, by
Whitepaper: Machine Intelligence Quality Characteristics

The key premise of this paper is that there is a need to extend the existing model of quality characteristics with new quality characteristics specifically for AI and robotics.

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November 2, 2020, by
Digital craftsmanship

All over the world, magnificent buildings demonstrate the work of large groups of craftsmen and craftswomen. Each of them has learned, grown their skills and practiced until they were capable of delivering these masterpieces. Today as well, we need digital craftsmanship.

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October 28, 2020, by
GTD is not only VW Golf Turbo Diesel. Brushstrokes of David Allen

CTO Albert Tort, creator of this methodology illustrated, how he uses Getting Things Done (GTD) in his day to day.

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September 23, 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 7, 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 24, 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 3, 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 18, 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 30, 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 27, 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 30, 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? Yes, we can! In this webinar, we will learn how Deep Learning-based models are used to recognize whether a car in a given image is damaged and its type/severity. It attempts to classify the car...

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August 29, 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 14, 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 8, 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 27, 2019, by
Can You Trust Machine Learning Decisions?

You need a lot of data when you want to train a machine learning algorithm and since Big Data became a buzz word we have been collecting massive amounts of data that could be used for this purpose. The last couple of years we have been discussing bias in machine learning. We have heard about...

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May 24, 2019, by
Avoiding Complexity and Chaos

Software development (but also the development of Machine Learning and AI) is combat against chaos and complexity. It is bad enough when software becomes chaotic and does unexpected things, but it is even worse, when software becomes too complex to be fixed.

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May 1, 2019, by
Whitepaper: Assessing Vehicle Damage – the ML way

In this research, we propose to replace the traditional methods of vehicle damage inspection (for car insurance) with a Machine Learning based automated solution.

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March 12, 2019, by
Explainable AI – Transforming AI into Competitive Business Differentiator

As AI expands into areas with major impacts on humans, like medical diagnosis, the military, recruitment decisions and policing, it becomes increasingly vital for AI to ‘explain’ why it has reached a particular decision.

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January 16, 2019, by
When AI “goes bad”

The benefits of the wider use of Artificial Intelligence (AI) are clear to the businesses that are rushing to make use of it. We see chatbots that are replacing humans in customer service roles, reducing costs of operation for the businesses that employ them. We see personalized selections on social media, entertainment channels, and e-commerce...

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October 26, 2018, by
IoTFriday E39 | To gateway or not to gateway

Today we look at a mothership concept for IoT solutions that is not another gateway concept. Inspired by the book "Wired for War" by P.W. Singer (interesting read on robotics, drones and everything related) the mothership concept challenges our IoT architecture with less gateways.

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