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Women in tech can supercharge teams' creativity and help them stay under budget, meet deadlines and improve outcomes, studies show, so it's time for more women to pursue tech careers, according to a lead Department of Labor official speaking at GovernmentCIO Media & Research's Women Tech Leaders event Thursday. Kathy McNeill, who leads emerging technology strategy at the agency, said the federal government needs more women in AI to produce accurate data sets and data analysis. "AI is a reflection of those who develop it and the data sets we use," she said during a fireside chat. McNeill provided an example of how Google Translate took the phrase "she is a doctor and he is a babysitter" and translated it to "he is a doctor and she is a babysitter" in another language, to illustrate biases inherent in artificially intelligent algorithms. "A lot of systems were developed 10 to 20 years ago," she said.

You might be one of the 730,000 people who have lost their jobs since the start of the coronavirus pandemic. Or maybe you're eyeing up your current industry and think it's time to get a shift on before things go sour. Business is booming in tech. Demand for digital services, from the likes of Zoom to Deliveroo, have demonstrated the impact tech has on the world around us and people want in. One of the biggest barriers to a tech career is often seen as a lack of coding knowledge.

This rewarding 8 tech careers will help if you are changing your career, looking to go into tech or if you're thinking of the best tech career path to take. This article provides a breakdown for the top 8 rewarding and highly sought-after tech careers for you. Attracting top tech talent has become a real priority for most companies worldwide in the last few years as we all scramble to adapt to a tight and competitive IT job market. Reports like Robert Half Technology's 2020 IT salary report and data from the Bureau of Labour Statistics have indicated the most in-demand IT roles. Staying on top of hiring trends means companies need to start filling those positions ranging from security-related to AI engineering roles.

Today data is flooding organizations. Some data comes from inside the organization, some data comes from outside, but all data is needed to have a complete picture of the business. Using Business Intelligence and Artificial Intelligence, business can turn all this data into actionable, valuable assets. In this session we'll explore: Tim Kulp took an unconventional path to his tech career, so it makes sense that his tech career is anything but conventional. Tim has always been captivated by what makes us uniquely human: art, religion, storytelling.

The robots are taking over. It seems like a common refrain these days as more and more Artificial Intelligence (AI) and machine learning operations are incorporated into everyday work processes and activities. Many people fear the loss of their jobs to AI and the impact of new technologies on their future career growth. While there's no doubt that AI and machine learning are disrupting the way we live and work, the reality is that AI will create more jobs and opportunities than it destroys. From transforming businesses and boosting productivity to addressing "moonshot" societal challenges, there are many positive applications of AI.

International Data Corp (IDC) projects that by 2024, two-thirds of employees in high-performing Forbes Global 2000 enterprises will move from static, siloed roles and processes to become part of dynamic, multi-disciplinary, outcome-focused reconfigurable teams. Factors such as the proliferation of network-connected devices, the adoption of cloud services, and the exponential rise in security threats have changed the nature of jobs and skills required. 'It's a work transformation that embraces human-machine collaboration, enables new employee skillsets and work experiences, and supports a rapidly changing workspace model independent of physical location or time of day'. The World Economic Forum estimate for 2020 is 44 zettabytes of data in the digital universe, which would mean approx 40 times more bytes than there are stars in the observable universe. Demand will be high for IT workers with an ability to analyse the dizzying amounts of data being generated given that data is the building block of technologies such as Machine Learning and Artificial Intelligence.

We are not strangers to the way AI is impacting our daily lives – both personally and professionally. We have been audience to the paranoia about AI taking away jobs and the optimism of AI creating jobs. While the jury is still out on the long-term impact of AI, we're already seeing automation of several activities, ranging from driving to radiology. It's becoming evident that no job will remain untouched by AI, though the degree of impact will differ from occupation to occupation. The technology industry, which is the catalyst of this change, will itself get transformed by AI.