Two decades of technology-driven transformation has left many financial services firms with significant complexity and technical debt. While banking and finance organizations have aggressively moved workloads and apps to the cloud to meet changing customer needs, some remain hesitant to tackle modernization of core infrastructure and systems, fearing a disruption to the business. In a rapidly changing environment, IT leaders can no longer put off the critical modernization decisions required to ensure secure and resilient operations, which enables rapid innovation and growth. "There is no option for banks to ignore the increasing complexity and technical debt," says Nick Drouet, CTO and Distinguished Engineer, Kyndryl UK and Ireland. "They need to move quickly, and at scale."

AI is making its presence felt everywhere in the connected world whether via data-driven deep learning technologies, smart robots, or autonomous vehicles. Industries ranging from manufacturing, retail, to healthcare and aerospace have all witnessed some remarkable examples of how AI technology is changing the way they do business in recent times. The impact of AI on an organization's ability to harness data and unlock new opportunities is huge. The transformative powers of AI-enabled solutions in enhancing the capabilities of business analytics and business intelligence have helped them achieve a prominent place in the Gartner Hype Cycle for Emerging Technologies. The sudden surge in the volume and complexity of data is driving the commercial adoption of AI across many industries.

In the early 1970s, the fledgling credit card industry routinely and shortsightedly held cardholders liable for fraudulent transactions, even if their cards had been lost or stolen. In response, Congress passed the 1974 Fair Credit Billing Act to limit cardholder liability. This protection increased public trust in the new payment system and spurred growth and innovation. Because they could no longer just pass fraud losses on to cardholders, payment networks devised one of the first commercial applications of neural networks to detect out-of-pattern card usage and reduce their fraud losses. Smart regulation, like the above example, that gets out in front of emerging technology can protect consumers and drive innovation.

Some technologies instantly become prize catches for businesses. Machine Learning (ML) and Artificial Intelligence (AI) are two of them. Big businesses already understood their potential in driving innovation and growth. According to Research and Markets, the worldwide ML market is going to expand with more than 44% compound annual growth in the years between 2017 and 2022. You shouldn't be surprised to know that small businesses account for a big portion of this growth story.

Artificial Intelligence (AI) has not been getting preference for the consumer market since it directly does not touch personal lives. Virtual reality (VR) on other hand is getting mass attention. But one can expect AI to come out to the mainstream as many companies are leveraging their version of artificial intelligence (AI) soon. Many people are already using AI routinely. Crystal, an AI application attempts to teach users about crafting emails based on recipient's likes and dislikes.

AI and data science is transforming business. The CxO summit will give you the knowledge and connections to be at the forefront.

AI and data science is transforming business. The CxO summit will give you the knowledge and connections to be at the forefront.

AI and data science is transforming business. The CxO summit will give you the knowledge and connections to be at the forefront.

AI and data science is transforming business. The Accelerate AI Business Summit will give you the knowledge and connections to be at the forefront.

Artificial Intelligence (AI) and Digitisation will change the future of cars, challenge traditional business models and create immense potential for innovation. In future, cars will be cognitive not only will they recognize voices and be able to optimise the journey, they will also incorporate other cognitive technologies of AI - computer vision, machine learning, rules based systems as well as planning and scheduling. It is around these subjects that Frost & Sullivan's Intelligent Mobility event - taking place in London on the 28th and 29th of June - will evolve. Today, there are 4.4 million taxis globally. In 2020 this number is expected to reach 5.5 million.