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AI reskilling: A solution to the worker crisis - JackOfAllTechs.com

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We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. By 2025, the World Economic Forum estimates that 97 million new jobs may emerge as artificial intelligence (AI) changes the nature of work and influences the new division of labor between humans, machines and algorithms. Specifically in banking, a recent McKinsey survey found that AI technologies could deliver up to $1 trillion of additional value each year. AI is continuing its steady rise and starting to have a sweeping impact on the financial services industry, but its potential is still far from fully realized. The transformative power of AI is already impacting a range of functions in financial services including risk management, personalization, fraud detection and ESG analytics.


AI reskilling: A solution to the worker crisis

#artificialintelligence

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. By 2025, the World Economic Forum estimates that 97 million new jobs may emerge as artificial intelligence (AI) changes the nature of work and influences the new division of labor between humans, machines and algorithms. Specifically in banking, a recent McKinsey survey found that AI technologies could deliver up to $1 trillion of additional value each year. AI is continuing its steady rise and starting to have a sweeping impact on the financial services industry, but its potential is still far from fully realized. The transformative power of AI is already impacting a range of functions in financial services including risk management, personalization, fraud detection and ESG analytics.


The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI

arXiv.org Artificial Intelligence

There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.


Machine Learning & Artificial Intelligence upskilling through gamified learning

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DBS has set its sights on accelerating the use of AI and Machine Learning across its business. To enable this, DBS and AWS have jointly launched the DBS x AWS DeepRacer League. DBS employees will learn the basics of AI and Machine Learning by participating in a series of hands-on online tutorials before putting their new knowledge to the test by programming their own autonomous model race car. These Machine Learning models are then uploaded onto a virtual racing environment where employees can experiment and iteratively finetune their models as they engage each other in friendly competition. Paul Cobban, Chief Data and Transformation Officer at DBS, said, "As a technology company that provides banking services, we are keenly aware of the need to stay ahead of the technology curve to continue exceeding our customers' expectations. We have never believed in limiting digital expertise to a small team. Instead, we passionately believe in democratising technology skillsets among all employees, so that they can run alongside the company as we advance on our digital transformation together. Additionally, we wanted to adopt a different approach from our previous digital and data skills revolutions. In line with our ethos of keeping work and learning fun, we sought to introduce gamification elements to better engage our employees, and the AWS DeepRacer League platform presented the perfect opportunity."


DBS Partners AWS To Future-Proof Employees With AI & Machine Learning Skills - Fintech Singapore

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DBS is taking steps to future-proof its workforce by announcing a collaboration with Amazon Web Services (AWS) to ensure its employees are equipped with fundamental skills in Artificial Intelligence (AI) and Machine Learning (ML) by the end of the year. The bank has set its sights on accelerating the use of AI and ML across its business. To enable this, DBS and AWS have jointly launched the DBS x AWS DeepRacer League. With this initiative, DBS employees will learn the basics of AI and ML by participating in a series of hands-on online tutorials before putting their new knowledge to the test by programming their own autonomous model race car. These ML models are then uploaded onto a virtual racing environment where employees can experiment and iteratively fine-tune their models as they engage each other in friendly competition. "We have never believed in limiting digital expertise to a small team.


Why Machines Still Need Humans To Stop Identity Fraud

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Right now, the banking and financial services sector is facing a critical juncture. Digital tools have become one of the only means by which consumers can communicate with their banks and other financial services, even when opening brand new accounts. The pandemic has put trust in remote digital onboarding centre stage. Government benefits, health services, online education, dating companies and gaming are just some of the sectors witnessing a huge surge in demand for digital know-your-customer (KYC) services. This is expanding the use of digital authentication at an unprecedented scale.


The best Online Tutorials On Artificial Intelligence For Beginners

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The ultimate goal of artificial intelligence is to create computer programs that can solve problems and achieve goals like humans would. There is scope in developing machines in robotics, computer vision, language detection machine, game playing, expert systems, speech recognition machine and much more. To take your first steps down the artificial intelligence career path, hiring managers will likely require that you hold at least a bachelor's degree in mathematics and basic computer technology. However, for the most part, bachelor's degrees will only get you into entry-level positions.Following are some of the online tutorials for those who wish to start their career in artificial intelligence. This course is designed for both testers and developers.


Personalization in Financial Services ( Part I) SmartLake

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Nowadays we can see an increasing demand for personalized digital services in financial services. According to the study 37% of bank clients would like their bank to be more like Amazon. Clients are indeed open to get Amazon like recommendations from their bank. Additionally the pressure from big techs is putting financial services firms under pressure to deliver enhanced customer experience. This includes personalizing offers to individuals like Amazon or Netflix.


Highlights from the Strata Data Conference in New York 2019

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People from across the data world came together in New York for the Strata Data Conference. Below you'll find links to highlights from the event. Rob Thomas and Tim O'Reilly discuss the hard work and mass experimentation that will lead to AI breakthroughs. Get a free trial today and find answers on the fly, or master something new and useful. Cassie Kozyrkov offers actionable advice for taking advantage of machine learning, navigating the AI era, and staying safe as you innovate.


7 data trends on our radar

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Check out the Strata Data and Artificial Intelligence conference series, which cover the topics and key issues discussed in this post. Whether you're a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. In a recent O'Reilly survey, we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. The demand for data skills ("the sexiest job of the 21st century") hasn't dissipated. LinkedIn recently found that demand for data scientists in the US is "off the charts," and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.