Identifying and managing AI risk is vital for all organisations.

Some of the below mentioned risk area is a huge domain by itself — and requires extensive reading and hands-on experience to become familiar with the topic. I encourage you to check out the references below to get additional perspective on handling AI risk.

Technology needs to be ethical, or in more clearer terms, it needs to be used ethically. And ethics can mean a lot of different things — it can mean being transparent with how it’s used to solve a customer challenge, being able to explain and interpret the results and decisions made by that technology, being fair and unbiased in those decisions and also being accountable for the use of that said technology.

DATA festival #online – 14.09.2020 – 16.09.2020

Insurers have come to rely heavily on automated solutions to help assimilate, analyze the data gathered and use the final output to help serve customers better. Today all businesses, including insurance, are available on web platforms and mobile apps, which can be accessed from anywhere, anytime and any device.

Moving forward, Toyota will provide a diverse range of mobility services and transportation solutions to people around the world as we transform Toyota into a mobility company … bringing the joy and freedom of movement to all.

Friedman ignored that in a democratic-capitalist society, democracy must come first. “We, the people” grant businesses their license to operate — which they, in turn, must earn and renew.

This post goes on to list data-driven startups, that employ ML and AI, for Data Aggregation and Analysis during Drug Development (petabytes of data).

Rolls-Royce CEO Warren East explains the background to a major new AI initiative intended to build trust and ethical deployment across multiple industry sectors.

We have an exciting opportunity for an experienced Big Data Engineer with Hadoop and Kafka expertise.

This method and system will not only enhance the performance and accuracy of the system but will also boost up the robustness, flexibility and reduce the carbon footprint of the machine

The marketplace ecosystem of the Automotive Industry is witnessing a rapid change. Their customer’s insight is growing, and so is their demand for digitally better products.

The organisation’s new Climate Finance Foundation will host an open source analytics platform to boost financing for climate solutions and aid decision makers.

Before the pandemic, automation wasn’t a major part of Intel’s manufacturing strategy. The pivot is happening much faster than pre-crisis.

Early on, American Express’ leadership recognised the need for and value of data analytics and technology, which drove their machine learning transformation across risk, marketing and servicing.

AI or artificial intelligence (AI) either promises transformational positive changes for the social good or threatens its very existence to supplant humanity in the most malignant way! Moving forward to a new year in a few months, Analytics Insights bring the top 10 Artificial Intelligence (AI) trends to watch out for in 2021.

As the world forges ahead with transformations in every sphere of life, banks are setting themselves up for continued relevance.

By Norman Niemer – Chief Data Scientist at a large asset manager where he delivers data-driven investment insights.

The road ahead will certainly have challenges, these leaders acknowledge. But there’s also a tremendous amount of hope because of the doors that a digital-first strategy can open.