As a result, more than two thirds (68%) are calling on their employers to deploy more AI-based technology to help them execute their daily work better and faster. According to IDC, global spending on AI technologies reached $50.1 billion in 2020, a figure that is expected to double in the next four years. So it's no surprise that AI is transforming the workplace as a result. But while employees were initially skeptical of this technology, new data suggests perception is shifting. This new study, conducted across the US and UK, sought to understand how workers across various lines of business – from HR to Finance to Marketing, and more – feel about working with AI technologies today.

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.

Enterprises are inspired by the capability of automation to significantly diminish time to market and to increase the number of AI projects that they can take on with their available staffing. One thing that many are not as mindful of, yet will absolutely find later, is that available plans can fundamentally expand the quality of solutions also. This need comes when data analytics is turning out to be strategic to an ever increasing number of organizations. New data is continually accessible, volumes are expanding and organizations need to utilize the data to drive further and more important insights as they hope to turn out to be more competitive. Data scientists are vital to opening the story behind this information.

Companies have a never-ending list of cloud applications they rely on with crucial data becoming ever-more siloed. Yet, in order to make sense of all this information, they need IT to manage exporting, massaging and importing data from various platforms to effectively make data-based decisions. IT of course is spread thin and decisions often need to be made in real-time, meaning one-time imports and exports get old, quickly. This is where SnapLogic comes in. Their simple and fast IaaS-based enterprise integration platform empowers enterprise IT organizations and lines of business to connect apps, things and data.

Today's announcement was made from the EDUCAUSE Annual Conference taking place this week in Chicago, IL. To learn more about SnapLogic for higher education, stop by SnapLogic Booth #1114 on the conference showfloor. Today's progressive universities and colleges are embracing the cloud, unifying their applications and systems, and putting data at the center of their strategies to enrich the experience of their diverse constituents: Student Engagement: The majority of incoming students are digital natives who expect consistent, real-time access to information on housing, parking, class schedule, grades, financial aid, and more, ideally delivered via a one-stop-shop online portal. Data-driven Faculty: Faculty are leveraging digital tools to tailor, personalize, and optimize learning for students, both in the classroom and via online courses. At the individual student level, many professors are leveraging data to identify students who may be struggling and require additional attention.

There's a global shortage of artificial intelligence (AI) talent; labour markets all over the world can't keep up with the demand for developers, mathematicians and scientists who can create new and innovative AI technology. There are an estimated 1,600 AI startups just in Europe, not factoring in the AI initiatives in large tech companies, so the wait for new AI graduates remains long. Microsoft has recently announced the goal of training 15,000 new AI professionals by 2022, which is a good start but not enough to fill the estimated millions of roles that are currently vacant. In a recent study, Microsoft and IDC found that the shortage of workers with AI skills has stopped companies that want to adopt AI from being able to do so. Until more highly skilled AI developers enter the workforce, organisations must find creative ways to supplement the talent they need to initiate their AI projects across industries--whether those projects involve voice, image, or pattern recognition, enabling autonomous movement or simulating realistic conversations. These innovations can underpin a new generation of healthcare tools, smart home devices or digital personal assistants.

Ethical and responsible AI development is a top concern for IT Leaders. In our new study, The AI Ethics Deficit, we found that 94% of IT Leaders in the US and UK believe more attention needs to be paid to corporate responsibility and ethics in AI development. A further 87% of IT Leaders believe AI development should be regulated to ensure it serves the best interests of business, governments, and citizens alike. Together with independent research firm Vanson Bourne, we surveyed 300 IT Leaders representing organizations with more than 1,000 employees in the US and UK, to understand their views and perspectives on the future development of AI.

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.

AI is not a silver bullet, but the technology can positively impact different sectors in a number of ways. Most organisations, as a result, are fully invested in AI, but they are hampered by a lack of AI skills. In fact, 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 AI skills in-house to bring their strategies to life.

In 2015, Uber opened a research facility around the corner from Carnegie Mellon University's National Robotics Engineering Center in a move positioned as a partnership between the two organizations. Within months, dozens of faculty members had left their positions for full-time roles at Uber, draining the center of much of its talent. Other major tech companies have followed a similar path – in 2018, Facebook launched AI labs in Seattle and Pittsburgh headed by former professors. These stories provide a window into a tug-of-war that's been playing out between the tech industry and academia. Keen to build products and services that use AI and machine learning, tech firms and other businesses have been hiring away researchers and professors from universities, creating a shortage of academics who can teach the next generation of data scientists. The proportion of computer science PhDs who stay in academia has reached a "historic low," the Computing Research Association has said.