Tag: trends

Fraud & Security Intelligence | Risk Management
Chris McAuley 0
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

Advanced Analytics | Fraud & Security Intelligence | Predictions
Vashinta Dickens 0
Data sharing’s promising potential to combat tax fraud

Fraud knows no boundaries. It’s one of the biggest challenges related to tax governance around the world. Tax crimes have serious consequences – tax losses, tax base erosion, national security risks and economic disruption. The effect is far-reaching. Governments are strained to fill the gap between revenues and spending and

Artificial Intelligence | Predictions
Kristi Boyd 0
Navigating AI ethics in manufacturing and agriculture: Balancing innovation with responsibility

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

Artificial Intelligence | Predictions
Lucy Chan 0
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

Artificial Intelligence | Predictions
Iain Brown 0
The future of data science: 7 emerging trends and technologies to watch

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

Advanced Analytics | Analytics | Artificial Intelligence
Thorsten Hein 0
Navigating what keeps insurance executives awake at night

Insurers, chief financial officers (CFOs) and actuaries will face overwhelming changes and challenges in the year ahead. These include compliance with new regulatory and solvency standards, pricing insurance premiums in line with inflation and other economic factors, addressing climate risk and ESG concerns, and adapting to new technologies. The impact

Analytics | Artificial Intelligence
Mark Lambrecht 0
Vijf uitdagingen in de zorg waar analytics en AI in 2022 bij kunnen helpen

Geen sector die de afgelopen twee jaar zo hard onder druk stond als de gezondheidszorg. En ook nu het einde van de pandemie in zicht lijkt, zullen veel uitdagingen rond Healthcare en Life Sciences niet verdwijnen. Gelukkig investeren zowel overheden als ziekenhuizen en farmaceutische bedrijven fors in data en analytics

Analytics
Alex Coop 0
The future of AI from 5 influential figures

There is no shortage of challenges associated with the deployment of AI: a lack of access to infrastructure, a lack of skills, and new legislation meant to enforce the responsible use of this evolving technology. But the most consequential questions facing us are innately human. Namely, ensuring human agency, safety

Analytics | Customer Intelligence
Gastbeitrag 0
CRM: automatisiert, personalisiert, intelligent

Heute beschreibt CINTELLIC in einem Gastbeitrag, wie CRM durch ein Höchstmaß an Personalisierung und Automatisierung optimiert werden kann. 2018 werden sich drei spannende Megatrends im CRM weiterentwickeln: künstliche Intelligenz (KI), datengetriebene Personalisierung und Automatisierung von Kundeninteraktionen. Heutzutage entscheiden Kunden selbstbestimmt und in Realtime, wann und über welche Kanäle sie sich