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Employees want more AI to boost productivity, study finds

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All the sessions from Transform 2021 are available on-demand now. Eighty-one percent of employees believe AI improves their overall performance at work. As a result, more than two-thirds (68%) are calling on their employers to deploy more AI-based technologies to help them execute tasks. That's the top-level finding from a study published today by 3GEM on behalf of SnapLogic, which surveyed 400 office workers across the U.S. and U.K. about their opinions on AI in the workplace. "In recent years, there was concern among office workers that AI would drive job losses, but employee opinions seem to have changed. The more they've been exposed to AI and see it in action, the more they've realized how much it can assist them with their daily work," SnapLogic CTO Craig Stewart said in a statement.


93% of organisations committed to AI but skills shortage proves challenging

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Research has found that inadequate access to skilled talent, technology, and data is holding back AI initiatives. Most organisations are fully invested in AI but more than half don't have the required in-house skilled talent to execute their strategy, according to new research from SnapLogic. The study found that 93% of US and UK organisations consider AI to be a business priority and have projects planned or already in production. However, more than half of them (51%) acknowledge that they don't have the right mix of skilled AI talent in-house to bring their strategies to life. Indeed, a lack of skilled talent was cited as the number one barrier to progressing their AI initiatives, followed by, in order, lack of budget, lack of access to the right technology and tools, and lack of access to useful data.


SnapLogic Introduces Self-Service Solution for End-to-End Machine Learning

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WIRE)--Nov 14, 2018--SnapLogic, provider of the #1 intelligent integration platform, today announced SnapLogic Data Science, a new self-service solution to accelerate the development and deployment of machine learning with minimal coding. Through SnapLogic's drag-and-drop interface, data engineers, data scientists, and IT/DevOps teams can use SnapLogic Data Science to manage and control the entire machine learning lifecycle – including data acquisition, data exploration and preparation, model training and validation, and model deployment – all from within the SnapLogic integration platform. SnapLogic Data Science breaks down traditional barriers that can undermine machine learning initiatives by providing a common platform for machine learning visibility and collaboration across teams including data engineering, data science, IT, DevOps, and development. According to our recent research with Vanson Bourne, 68% of IT decision-makers consider artificial intelligence and machine learning as vital to accelerating their transformation projects. At the same time, McKinsey Global Institute predicts that the U.S. alone will be short 250,000 data scientists by 2024.


SnapLogic Introduces Self-Service Solution for End-to-End Machine Learning

#artificialintelligence

WIRE)--SnapLogic, provider of the #1 intelligent integration platform, today announced SnapLogic Data Science, a new self-service solution to accelerate the development and deployment of machine learning with minimal coding. Through SnapLogic's drag-and-drop interface, data engineers, data scientists, and IT/DevOps teams can use SnapLogic Data Science to manage and control the entire machine learning lifecycle – including data acquisition, data exploration and preparation, model training and validation, and model deployment – all from within the SnapLogic integration platform. SnapLogic Data Science breaks down traditional barriers that can undermine machine learning initiatives by providing a common platform for machine learning visibility and collaboration across teams including data engineering, data science, IT, DevOps, and development. According to our recent research with Vanson Bourne, 68% of IT decision-makers consider artificial intelligence and machine learning as vital to accelerating their transformation projects. At the same time, McKinsey Global Institute predicts that the U.S. alone will be short 250,000 data scientists by 2024.


5 Ways Artificial Intelligence Will Lighten Employee Workloads

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Artificial intelligence (AI) will be a good thing for the digital workplace. Despite concerns about job redundancies and shifting enterprise priorities, recent research from global auditing company PwC suggests that, far from hindering employees or even making some jobs obsolete, AI will help workers achieve business objectives quicker and more effectively. To do that, however, organizations will need to invest in different types of AI. The research, part of PwC's Economic Outlook for 2018, predicted the main contributor to the UK's economic gains between 2017 and 2030 will come from consumer product enhancements stimulating consumer demand (8.4 percent). The research identified AI as a key factor in this growth, by driving a greater choice of products, increasing personalization and making those products more affordable over time.