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Artificial intelligence, machine learning (a subset of AI), and predictive analytics top the list of hot, planned technology investments for banks in 2022, due to their ability to aid strategic business decision-making, help build applications that can serve customers in a personalized manner, and drive revenue growth, according to market research firm Forrester. Hot technologies for banks also include 5G, natural language processing (NLP), microservices architecture, and computer vision, according to Forrester's recent Top Emerging Technologies in Banking In 2022 report. The report, based on survey responses from tech decision makers in banks and their technology vendors, categorizes 30 different technologies into three main categories: "hot," "on-the-radar," and "hype." Technologies are considered hot if banks have lined up a planned investment in them in the next 12 months, Forrester said, adding that these new investments are expected to shape the future of the banking industry and customer experience. Among the hot technologies, artificial intelligence and machine learning -- a subset of AI that that makes more accurate forecasts and analysis as it ingests data -- continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue.

With retail undergoing a massive transformation, machine learning has become an innovative asset, changing the way organizations deliver customer experiences. As companies adopt advanced technologies that are easily implemented and show worthwhile return on investment, there is a massive opportunity to help customers take and complete this digital journey – not just to innovate, but to scale as a digital business. With artificial intelligence (AI) and machine learning platforms, organizations' front and back-office processes are evolving. Many food and beverage companies are using AI, machine learning, and automation to revolutionize critical aspects of their businesses. Food and beverage retailers who stand out are leveraging a suite of machine learning platforms to guarantee products are maintained properly.

The technologies you'll read about in the following pages from carbon nanotube microprocessors and self-driving cars to biosensors and quantum cryptography are works in progress. Some are little more than sparks of ideas, some are being fine-tuned, and some are waiting in the wings for the right market conditions. Yet they all share something in common: Each holds the promise of transforming computing.