Deepfakes, viral online challenges and protecting freedom of expression: the online safety bill sprawls across many corners of the internet and it's about to become official. The much-debated legislation is due to receive royal assent, and therefore become law, imminently. The purpose of the act is to make sure tech firms have the right moderating systems and processes in place to deal with harmful material. "This means a company cannot comply by chance," says Ben Packer, a partner at the law firm Linklaters. "It must have systems and processes in place to, for instance, minimise the length of time for which illegal content is present." Packer adds that if those systems and processes are deemed to be not up to scratch, platforms could be in breach of the act.

One of the more persistent consequences of the COVID crisis has been the so-called "Great Resignation," a development that has been unfolding over most of the past two years. We've seen a steady flow of employees leave the workforce, many doing so after taking stock of their lives amid a rapidly changing world. The insurance industry has by no means been immune to this. Companies in our industry rely heavily on the institutional knowledge of experienced employees, so as the pandemic has served as a catalyst for early retirements, these organizations have been especially hard hit. Employees are an organization's most valuable assets.

Humans invented artificial intelligence, so it is an unfortunate reality that human biases can be baked into AI. Businesses that use AI, however, do not need to replicate these historical mistakes. Today, we can deploy and scale carefully designed AI across organizations to root out bias rather than reinforce it. This shift is happening now in consumer lending, an industry with a history of using biased systems and processes to write loans. For years, creditors have used models that misrepresent the creditworthiness of women and minorities with discriminatory credit-scoring systems and other practices. Until recently, for example, consistently paying rent did not help on mortgage applications, an exclusion that especially disadvantaged people of color.

Electrification was, without a doubt, the greatest engineering marvel of the 20th century. The electric motor was invented way back in 1821, and the electrical circuit was mathematically analyzed in 1827. But factory electrification, household electrification, and railway electrification all started slowly several decades later. The field of AI was formally founded in 1956. But it's only now--more than six decades later--that AI is expected to revolutionize the way humanity will live and work in the coming decades.

Artificial Intelligence (AI) has arguably become a household term in modern enterprises. By now, most companies have embraced some type of business initiative that includes AI in their digital transformation. Artificial Intelligence is a broad term, but much current research and development focuses on machine learning (ML), a subdiscipline whereby machines learn from data as opposed to being explicitly programmed. With AI and ML targeting a broad spectrum of enterprise users, IT professionals must develop new skills to succeed in this emerging space. An understanding of the business and its most pressing problems is a transcendent competency for any IT professional.

Electrification was, without a doubt, the greatest engineering marvel of the 20th century. The electric motor was invented way back in 1821, and the electrical circuit was mathematically analyzed in 1827. But factory electrification, household electrification, and railway electrification all started slowly several decades later. The field of AI was formally founded in 1956. But it's only now--more than six decades later--that AI is expected to revolutionize the way humanity will live and work in the coming decades.

As constantly and rapidly changes, many businesses find themselves unable to keep up with the advances. The reality is that digitalization promises to change the way that businesses operate, and a 2019 McKinsey Digital Quotient survey found that 93 percent of executives believe that taking advantage of digital technology is essential for accomplishing strategic goals. Digitization brings new opportunities, improves processes, expands production and many other benefits. Leaders need to work to develop the right systems, structures, and expertise to welcome digitization with open arms. Digital transformation is defined as "cultural, organizational, and operation change of an organization, industry, or ecosystem through the smart integration of digital technologies, processes, and competencies."

The future of work is remote-- at this point, this assertion could easily double as the proverbial war cry of tech's most prolific armchair experts. Undoubtedly, there's ample evidence to support their claims. Over the past decade, growth in remote work careers has ballooned to the tune of 91 percent, with nearly 5 million Americans engaging in business from the comfort of their couches. Even still, there are numerous barriers preventing this lifestyle from becoming the norm, with geographically-dispersed workforces facing seemingly insurmountable challenges of fragmentation, isolation, and miscommunication. But fear not, office dwellers-- artificial intelligence, the most buzzworthy technology trend of modern computing, offers a number of capabilities that may soon serve as the most critical infrastructure in the remote work revolution.

A SIZABLE amount of real estate in the media is dedicated to artificial intelligence (AI) these days - and especially so in Singapore. From news of the government's commitment to AI research, policies delineating its ethical use, to announcements of the next big global firm setting up AI facilities in the Red Dot, the ubiquity of the technology foretells the central role that it is set to play in every aspect of society. At the enterprise level, adoption within day-to-day operations has been steadily ramping up - especially in sectors such as supply chain, where AI-led tech such as Internet of Things (IOT) analytics have shown a clear business case in its ability to substantially boost efficiency. Meanwhile, consumers are increasingly being exposed to AI as well - think, for example, of Google Pixel's AI-powered night sight, which enables photography in the dark. That said, and while it is already an aphorism that businesses need to adopt AI to maintain a competitive edge, it just as important that businesses refrain from regarding AI as one big, shiny, silver bullet.

Both HR leaders and employees expect more artificial intelligence will come into the workplace. A new AI-at-work study conducted by Oracle and Future Workplace surveyed 1,320 U.S. HR leaders and employees and found that people are ready to embrace AI at work, but feel organizations are not doing enough to help their employees take advantage of AI. If AI is coming and companies are not helping employees cope, then the burden is on you to build your career to survive and thrive in the AI workplace. If you believe that AI will automate many jobs away, then you need to strengthen your unique skills and expertise to better compete in the AI job market. I covered three strategies for career-building in a future without jobs in an earlier post. If you're gainfully employed and want to maximize the AI trends that are coming to your employer, here are five career survival tips for building on the trends identified in the Oracle and Future Workplace study: If AI truly arrives, you may be managed by a robot!