It's no secret that AI can give organizations a major competitive advantage, whether it be predicting supply and demand surges or providing personalized recommendations. One way we're seeing an increase in AI being used is for its ability to anticipate and mitigate risks across organizations. Companies around the globe are leveraging AI to ensure legal compliance and mitigate risk. In fact, Gartner predicted that privacy-driven spending on compliance tooling would rise to $8 billion worldwide throughout 2022. The interest in adopting AI for risk management efforts is fueled by increasing data regulations and traditional methods of data oversight becoming unreliable, given the large volumes of data that organizations are handling.

This is my third and last blog on digital storage and memory projections for 2023. The last two articles focused on digital storage and memory devices including magnetic tape, HDDs, SSDs as well as NAND, DRAM and emerging memories. We also covered developments in shared storage and memory networking. This article focuses on developments in digital storage systems and software and their use in various workflows. While there are lingering issues with supply chains and at least partial remote work and remote collaboration seems here to stay, in 2022, we began to recover from the impacts of two years of the COVID pandemic. On the other hand, high inflation rates and tightening of money supplies to try and stem inflation resulted in many technology-driven companies tightening their belts, laying off workers and moderating their IT infrastructure spending in the second half of the year.

Did you miss a session at the Data Summit? As the world becomes increasingly dependent on technology to communicate, attend school, do our work, buy groceries and more, artificial intelligence (AI) and machine learning (ML) play a bigger role in our lives. Living through the second year of the COVID-19 pandemic has shown the value of technology and AI. It has also revealed a dangerous side and regulators have responded accordingly. In 2021, across the world, governing bodies have been working to regulate how AI and ML systems are used.

All the sessions from Transform 2021 are available on-demand now. An Amazon-built resume-rating algorithm, when trained on men's resumes, taught itself to prefer male candidates and penalize resumes that included the word "women." A major hospital's algorithm, when asked to assign risk scores to patients, gave white patients similar scores to Black patients who were significantly sicker. "If a movie recommendation is flawed, that's not the end of the world. But if you are on the receiving end of a decision [that] is being used by AI, that can be disastrous," Huma Abidi, senior director of AI SW products and engineering at Intel, said during a session on bias and diversity in AI at VentureBeat's Transform 2021 virtual conference.

If that headline fails to get your attention, there's nothing about artificial intelligence (AI) or robotic process automation (RPA) that will shock or scare you. Will AI and RPA take your job and kill your career? It depends on what you do for a living, how old you are, where you live and your educational credentials. If you perform routine tasks or even what appear to be complex deductive inferential tasks we associate with "knowledge" industries, yes, your job and career are at significant risk: AI and RPA will absolutely, positively threaten your job, your career and your very professional existence. It would be naïve and irresponsible for me to say otherwise – just as it was naïve and irresponsible to tell horse breeders and coach manufacturers that automobiles were no threat at all, or minicomputer manufacturers that desktop computers would not threaten their markets – because, you know, "there is no reason for any individual to have a computer in his home." Let's also not believe for a moment that automation and low-level AI – combined with lower global labor costs – have been quiet over the past couple of decades.

Common fallacies about markets claim markets are unpredictable. However, chaos theory together with powerful algorithms proves such statements are wrong. Markets are chaotic systems with complex dynamics, yet to a certain extent we can make valid stock market forecasts. Using these forecasts generated by cutting-edge predictive algorithms together with a careful risk management strategy may give a trader a significant competitive advantage. Looking at the common fallacies about stock markets, we can see two major groups.