The future of insurance talent rests on AI
AI is revolutionizing insurance by tackling talent gaps, boosting efficiency and driving innovation.
Tag: innovation
Thriving in the AI age means crushing the ‘one-and-done’ fallacy
It seems like every day, there’s a new study or report about how AI, GenAI and machine learning will transform industries. For Georgia-Pacific, this isn’t forward-looking speculation. It’s our reality. When we look at the innovation investments Georgia-Pacific has in play, we’re predicting a nine-figure return. We see $100 million
Modern governments will use AI for a smarter future workforce
The critical link between skills, AI and productivity Fifteen years ago, I would not have believed that my office would be phone-free or that meetings would be virtual, even with nearby colleagues. Today’s work environment would have seemed impossible back then. And as we look to the future – say
Digital sovereignty: The new age of national defense
Building a digital fortress with modern data management In an era where stone walls and moats are relics of the past, the battleground has shifted to the digital realm. Since the first cyberattack in 1988, governments worldwide have been on high alert, fortifying their defenses against invisible intruders. The ultimate
Working with synthetic data? Ask these 6 questions first
Synthetic data has emerged as a powerful tool for overcoming the limitations of real-world data. The future holds great promise for accelerated innovation. With synthetic data, companies can now generate financial transactions, medical records or customer behavior patterns that maintain statistical relevance like real data. This emerging technology can help
How generative AI can futureproof your workforce and build resilience
Major global elections, volatile financial markets, extreme weather events, and sophisticated and costly cyberattacks are increasing operational risks across every industry. Generative AI (GenAI) is redefining how industries navigate this uncertainty and transforming potential risks into powerful opportunities. Organizations across industries are increasingly invested in GenAI – for instance, last
Success with AI: Five essential actions for governments
What does the path to a fully AI-integrated government look like? “Figure out where you want to be and then take the steps to get there.” I remember my dad giving me that advice when I was growing up, and I think about it now as I watch the unfolding
10 things insurance leaders need to know about generative AI and LLMs
SAS' Mary Osborne, Ali Dixon Ricke, and Franklin Manchester break down what insurers still need to learn about generative AI.
The insurance Oppenheimer moment – climate risk calamity
The time is now for insurance companies to lead the way in addressing climate risk
4 trends to watch in 2025: The future of technology and AI
With a new year around the corner, it’s time to start thinking about what tech trends are coming in the months ahead. 2025 will be interesting, because now that AI has been around long enough to go from novel to normal, we should stop marveling at what it can do
In the data and AI era – Will data engineering reign supreme?
In 2012, Harvard Business Review declared the data scientist the sexiest job of the 21st century. Here’s what we knew at the time: big data was (and still is to this day) an enormous opportunity to make new discoveries. We were in the boom of user-generated content from social platforms,
The data debacle: Boom or bust for banks?
At the very heart of the financial world lies a commodity so vast it’s almost immeasurable ... and it’s growing exponentially with potential yet unrealized. Big data – complex structured and unstructured datasets arriving from innumerable sources – is reshaping the global banking industry. Used effectively, big data can support the delivery
And the banking GenAI survey says …
Many of us have fond memories of a Family Feud host saying, “And the survey says…!” as the game show’s answer board lit up, bringing joy or disappointment to the contestants. For some, the host who comes to mind is Richard Dawson or Ray Combs, while today’s fans likely think
Data decay: One reason insurers should value synthetic data
As data decays, it becomes less useful. See how synthetic data for insurance can help.
4 tangible ways for insurers to tackle climate risks
Climate risks threaten insurers' profitability and financial stability. See how insurers can adapt.
La importancia de tener buenos datos de entrada en los modelos analíticos
En la actualidad, los modelos analíticos son herramientas esenciales para tomar decisiones basadas en datos. Desde prever tendencias hasta optimizar operaciones, los modelos analíticos dependen en gran medida de la calidad de los datos de entrada. La precisión, integridad y relevancia de estos datos son cruciales para obtener resultados confiables
300 data pipelines + 30,000 models = $100+ million in potential value
The ongoing impact of inflation on the economy is a persistent news headline. Organizations around the world are exploring how data and AI can help lower costs and improve efficiency. Georgia-Pacific, one of the world’s largest manufacturers of pulp and paper products, is ahead of the curve. They are poised
6 tips to maximize human productivity, lower costs and build trust in AI models
The search to maximize our own productivity is never-ending. We all want to be more efficient in our work and carve out more time with loved ones. As you assess data and AI technology to automate processes and maximize efficiency, you may wonder if it’s truly possible for you or
Outside of the norm: Spot rare event fraud with data and AI
Fairness, transparency, integrity and competition are essential for managing public funds. We rely on departments to choose the best value from the private sector. Efficient public procurement improves services, infrastructure, and the economy. It must also be accountable to the public by protecting financial loss from fraud, waste, abuse, and
Health care’s newfound ally against fraud: AI and generative AI
It is no surprise that generative AI (GenAI) is quickly becoming a potent tool in the health and life sciences industry. There are numerous ways that AI and GenAI can help beat the rising tide of fraud. We can count on these new technologies to enable the ability to commit
Hiding in plain sight: Supplier integrity reveals fraud
Headlines about government spending often highlight eye-catching, big-ticket items like transportation infrastructure projects or military equipment. However, smaller expenses also accumulate – significantly and often undetected. In fiscal year 2024, the US federal government spent $6.75 trillion on various goods, services and programs, and the UK central government spent £35.2
We’re in our developer era
Fearmongers would have you believe that AI will replace us, but I truly believe there has never been a better time in history to be a developer. With the advance of artificial intelligence into generative AI (GenAI) and enhanced computing power, we stand on the brink of a new era
The new data frontier: Next-generation AI technologies and synthetic data
Data scarcity, privacy and bias are just a few reasons why synthetic data is becoming increasingly important. In this Q&A, Brett Wujek, Senior Manager of Product Strategy at SAS, explains why synthetic data will redefine data management and speed up the production of AI and machine learning models while cutting
클라우드에서 구동되는 AI와 분석의 여러 환경적 영향
수많은 산업에서 중추적인 역할을 맡게 된 클라우드 컴퓨팅은 조직이 분석과 머신 러닝 및 AI의 힘을 활용하여 인사이트를 얻고 혁신을 추구할 수 있도록 도와줍니다. *이 글은 Spiros Potamitis 가 작성한 내용을 SAS코리아에서 번역한 것입니다. 그러나 클라우드 컴퓨팅의 급속한 확대로 인해 클라우드의 탄소 발자국 역시 크게 증가했습니다. 알기 쉽게 비교하자면, 클라우드 컴퓨팅의
Marketers tap AI for synthetic data generation
Synthetic data generation, as its name suggests, is one component of generative AI. With this technology, marketers can generate artificial data sets that share the attributes and characteristics of real customer data. As marketers continue to expand their use of both traditional AI and GenAI, synthetic data generation reduces the
3 ways MarTech will evolve in 2025
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
From business users to system architects: How generative AI will change the way you work
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:
From data to delivery: How GenAI will shape the future of public service
"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
L'essor des données synthétiques et leur impact sur l'intelligence artificielle
Dans le paysage technologique actuel, les données synthétiques, nouveau sous ensemble de l’IA générative, apportent de nouvelles pistes de réflexion pour la création des modèles d'intelligence artificielle. Contrairement aux données traditionnelles, pouvant être limitées par des contraintes de biais, de quantité, ou encore des contraintes de confidentialité et de conformité,
Productivity revolution: 4 strategic areas generative AI can transform organizations
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