AI is increasingly becoming a business imperative. Nine in 10 Fortune 1000 companies are not only investing in AI, but are increasing those investments, with 92% reporting measurable business benefits from their current AI use -- up from 72% in 2020 and just 28% in 2018, according to a 2022 NewVantage Partners executive survey. Still, only 26% of companies say their AI initiatives have actually moved into widespread production. Cultural barriers, with executives 11 times more likely to say culture is the greatest impediment to AI success than to cite technology limitations as the biggest barrier. And the cultural challenges have actually gotten worse, with 92% of executives citing cultural factors this year vs. 81% in 2018.

The Coronavirus has drastically reshaped the economy and the labor force. Since its rapid spread around the globe, we have experienced titanic shifts in how we work, where we work, and the technologies we use to stay connected. Such massive change is escalating the importance of HR's role within organizations. Workers are turning to their managers and their HR leaders, in particular, for guidance on how to navigate their "new normal" -- research indicates that 73% of workers depend on their employer for support in preparing for the future of work. Just as CFOs have greatly increased their scope since the 2008 financial crisis, CHRO's now have that same opportunity to become central C-suite players.

As much as many companies seemingly view their Human Resource department as an obligatory expenditure, the fact of the matter is that good HR management is a significant determinant of the long-run success or failure of the organisation. When properly utilised, a modern Human Resource department can add substantial value to its company by recruiting only the most qualified candidates and retaining them once they've been hired. While the basic objectives of HR like talent acquisition, retention, optimising productivity, and securing employee welfare, remain unchanged, the tactics employed have evolved considerably over the last few years especially given the rapid advancements in technology. Technology has advanced to the point where it's not merely shaping how the workforce operates, but what constitutes the workforce itself. HR is being pushed into a much larger role which entails helping their respective organisations go digital.

Domino's Pizza stores in Australia and New Zealand have finally begun using an elaborate new employee monitoring tool to track employee performance. First announced in 2017, the DOM Pizza Checker was finally implemented at a number of Domino's stores in Oceania beginning this August, according to an investor presentation. The device is a high-powered overhead camera connected to machine-learning software that monitors employee performance as they make a pizza. The DOM Pizza Checker (pictured above) is a high powered camera and computer system that observes and evaluates employees as they make pizza. The camera matches a live image of the pizza being made to an image of the pizza that's been ordered.

"Why your next job interview will be with a robot." These are the sort of attention-grabbing headlines that spark panic in job seekers and HR professionals alike. With the rise of artificial intelligence (AI), are we all just one robot away from being out of a job? Probably not -- although there's no doubt we're heading toward a more automated future and a transformed workplace. HR needs to stay ahead of this curve, which can be done by leveraging automation to streamline tactical tasks and free up time for big-picture, strategic thinking. Automation offers benefits beyond payroll and time tracking.

The working capacity of employees definitely depends on the training provided to them. AI provides you with a new horizon to discover new forms of technology for better training. For instance, you can use AI powered gadgets that provide practical knowledge to your employees. A simple example of using AI for training is utilizing high-quality audios and videos. You can utilize AI to make the training process more impactful and enjoyable.

Technology tools such as artificial intelligence (AI), machine learning (ML) and cloud-based analytics platforms, along with aggregated "big data" organized into informational dashboards, may have cracked the code for improving worker productivity. Data about how employees work and behave can be analyzed, predicted and subsequently used to drive decisions to allocate resources, monitor performance and make the workplace better. These solutions have evolved to shape the way workers work. Vadim Tabakman is the "technical evangelist" at Nintex, a Bellevue, Wash., firm providing end-to-end process management and workflow automation. He said AI and ML are used in many ways to improve performance by learning employee work patterns and habits.

In the modern workplace, technology is the real game changer. The majority of businesses today are inclined towards investing in automated systems that are powered by artificial intelligence. The idea is to access data in real-time that boosts employee productivity. Application of automated data engineering is no longer a vision. It is a reality that has long-term advantages by transforming employee performance within a business environment.

Can those memories serve to enhance retention of learnings and help-built connections or patterns we could not do in a conscious state? What is also intriguing is the work being done in projects like "Deep Dream" which uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream-like hallucinogenic appearance in the deliberately over-processed images. We may indeed be in the cusp of the "next big thing". But this is not new, AI pretty much has been at the forefront of all major conversations pertaining to technology over the past few years. From self-driving cars to intuitive virtual assistants, AI has been turning every science-fiction trope into reality.

The world is expanding so does the amount of data available in different fields. We are living in a 100% data-based world. The world's technological capacity to store information has been doubling every 40 months. According to the World Bank (2012), everyday 2.5 1018 Byte of data is created. This raw data which is created every single day is referred to as Big Data.