It’s no surprise that MarTech in 2024 seemed to be dominated by GenAI, GenAI and … more GenAI. Perhaps this is a bit of an exaggeration, but you can’t deny this topic was a headliner in the MarTech space, along with AI and customer data platforms. Here are my top
Predictions
As we move into 2025, AI continues to transform industries in unprecedented ways, driving efficiency, innovation, and productivity. But with this rapid advancement come critical ethical questions. How can we ensure that AI systems protect the rights and well-being of individuals? Manufacturing and agriculture are two essential industries where answering
Generative AI (GenAI) is here to stay – there’s no question about it. A recent SAS survey of 1,600 organizations found that 54% have begun implementing It, and 86% plan to invest in it within the next financial year. As organizations integrate AI into their workflows, a critical question arises:
"Generative AI (GenAI) initiatives should support broader public goals and needs," says SAS' Ensley Tan. While governments recognize GenAI's potential to improve operational efficiency and citizen experience, there is more to it than setting up projects and expecting them to work. Tan, SAS Asia-Pacific Lead for Public Sector Consulting, said public
Remember the first time you held a smartphone in your hand? It wasn’t just a fancy phone – it was the beginning of a revolution. Before smartphones, we used separate calls, cameras, emails, and navigation devices. But almost overnight, this gadget transformed everything: how we communicate, consume media, work and
As businesses in the UK and Ireland rapidly adopt generative AI, strategic insights from the latest SAS study reveal the roadmap to successful integration and the hurdles to overcome. GenAI is rapidly transforming how businesses operate, innovate, and interact with customers and employees alike. However, as the technology proliferates, so
AI is no longer a futuristic concept – it’s a mainstay in our daily lives, both personally and professionally. In the business world, AI is revolutionizing workflows, driving efficiency and speeding up processes. However, as organizations rush to benefit from this modern technology, they must prioritize the ethical and transparent
Data science continues to be a pivotal force driving innovation across industries. From enhancing customer experiences to optimizing operational efficiencies, the role of data science is expanding, bringing with it new challenges and opportunities. This article explores the emerging trends and technologies that are shaping the future of data science
Ever since generative AI burst onto the scene, it has sparked a whirlwind of ethical concerns. Unlike traditional AI, which typically analyzes and makes predictions based on existing data, GenAI creates entirely new content – videos, text, audio, code and more. This creative power introduces a new level of risk,
A woman arrives at the emergency room with chest pain. She immediately receives an x-ray. While the radiologist looks at the image, her AI assistant flags anomalies in the patient’s lungs – invisible without the technology. The chest pain turns out to be benign, but sophisticated imaging reveals early-stage lung
Everyone is talking about artificial intelligence (AI) for a good reason. It’s already revolutionizing the world as we know it. And governments are well-poised to use AI to improve services and operations. But we can expect the AI conversation to shift into 2025. Attend any conference of government leaders, and
Five years ago, there was no conflict in Ukraine. People went into offices for work. No one was fighting over toilet paper. Everyone’s concept of AI was loosely anchored by Hollywood films like Terminator or War Games. And, insurers enjoyed relatively stable profits, consistent inflation/interest rates, and manageable change volume.
Another promise of innovation and advancement? Not in 2025. The hype of market disruption and transformation might be the content that catches attention, but it’s not always the most accurate description of the industry. For far too long, industry experts have praised the ideas of future-forward growth and promised year-over-year
As we peer into 2025 looking for signs of what’s to come, one thing is certain – the global banking industry will continue its evolution. Historically, banks have responded to change more slowly; the industry’s risk-averse culture drives a calculated and measured approach. However, the volatility, uncertainty, and challenges of
Model cards have been around for a few years now and while their purpose is clear – to increase machine learning transparency and to create a way to communicate usage, ethics-informed evaluation, and limitations – they're still evolving. Many companies have tried their hand at creating their own version of
The commercial real estate crisis is looming for insurers and banks. Learn how AI decisioning can help.
Want to deploy digital twins as part of your predictive maintenance strategy? You should, for countless reasons that have been identified elsewhere. But like anything else worth doing in business, it’s a process – you need to know where your organization lands on the maturity curve, and where it’s going.
Before rushing to invest in generative AI (GenAI), organizations must pause and take a step back. GenAI is powerful and has shown potential to revolutionize multiple industries – but it’s not a silver bullet. Now that we’ve finally gotten past the hype phase, it’s time to look at the realities
In a world rich in data, data enthusiasts and problem solvers can have greater success and innovate faster with flexibility in choice. To code or not to code. The answer aligns with the problem and the data talent working to solve it. What does innovation look like inside your organization?
Foundation and domain models are transforming how businesses approach technology. These powerful tools are moving beyond the hype of GenAI, offering real solutions for a variety of tasks – whether generating text, creating visual content or even composing music. A new global survey of 1,600 organizations revealed critical insights into
There's a lot to gain for insurers that move fast enough to adopt promising applications of trustworthy AI.
Careers in risk management can be rewarding. The disciplines are key to a broad range of industries. Risk management teases the analytical side of the brain and there is a clear line of contribution between the work and the organization's performance. Careers in risk management are also shrouded in mystery
A customer’s onboarding journey is often the most interaction they will have with their bank. Onboarding activities provide the first meaningful insights into what being a customer will be like, and they can make or break the long-term prospects of the relationship. Unfortunately, the onboarding journey at many banks is
Best-selling author and banking industry futurist Brett King once said, “The easiest customer experience isn’t one where you drive to the branch, find a parking spot, wait in line, ask advice, and sign a piece of paper. It’s one where you activate the service you need in real time when
While no one currently alive witnessed the beginnings of the Industrial Revolution in mid-18th century Britain, we’re all now spectators and participants in the AI revolution – AI is accessible and entrenched everywhere. While AI is not new, 2023 ushered in a tsunami of AI innovation with the emergence of
2023 delivered a raft of notable bank failures, the largest since the 2008 financial crisis. Silicon Valley Bank and others succumbed to collapse, triggering widespread reverberations and heightened market uncertainty. We also saw a tsunami of AI innovation, expanding fraud and financial crimes, workforce transformation and climate risk. And let’s
In 2024, fraud and financial crimes are rising in global banking due to an evolving economic environment and expanding technological capabilities that create new opportunities for fraudsters. In 2023, consumer-focused fraud increased, with attackers posing as energy firms, lottery companies and banks to extract sensitive information from unsuspecting victims. Inflationary pressure saw
The realm of augmented reality and mixed reality (AR/MR) is on the brink of a significant evolution, promising to reshape how we engage with technology. Augmented reality involves the overlay of digital information onto the real world, enriching our perception of the environment by adding virtual elements. This technology enhances
Whether for better or for worse, many people agree that generative AI is a game changer that will revolutionize the way we live and work. Optimists believe that generative AI is an opportunity to improve and expand our technological knowledge. At the same time, catastrophists fear that AI in general
The cold of winter and holiday gatherings push people indoors, causing a surge in influenza hospitalizations. Years of above-normal temperatures in southern states bring a species of mosquito that carries malaria to the US. Declining childhood immunization rates threaten to allow previously eradicated diseases like measles to become endemic again.